KybernetesTable of Contents for Kybernetes. List of articles from the current issue, including Just Accepted (EarlyCite)https://www.emerald.com/insight/publication/issn/0368-492X/vol/53/iss/13?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestKybernetesEmerald Publishing LimitedKybernetesKyberneteshttps://www.emerald.com/insight/proxy/containerImg?link=/resource/publication/journal/a5f3c6a11b03839d46af9fb43c97c188/urn:emeraldgroup.com:asset:id:binary:k.cover.jpghttps://www.emerald.com/insight/publication/issn/0368-492X/vol/53/iss/13?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestFrom data to decision: distilling decision intelligence from user-generated contenthttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1447/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques. Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis. The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance. The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance. The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.From data to decision: distilling decision intelligence from user-generated content
Tjaša Redek, Uroš Godnov
Kybernetes, Vol. 53, No. 13, pp.1-23

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

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From data to decision: distilling decision intelligence from user-generated content10.1108/K-08-2023-1447Kybernetes2024-03-13© 2024 Tjaša Redek and Uroš GodnovTjaša RedekUroš GodnovKybernetes53132024-03-1310.1108/K-08-2023-1447https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1447/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Tjaša Redek and Uroš Godnovhttp://creativecommons.org/licences/by/4.0/legalcode
Paternal leadership and employee creativity: the mediating role of psychological safetyhttps://www.emerald.com/insight/content/doi/10.1108/K-01-2022-0011/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research aims to analyze the factors affecting the people's performance working in the health sector to improve the services the health sector provide to society and increase the efficiency of their institutions. Conceptual model covering paternalistic leadership, employee creativity and psychological safety as an intermediary role has been suggested. A questionnaire was applied to 600 employees of three hospitals in Izmir voluntarily and 531 questionnaire data were obtained to test the proposed model. Statistical Package for the Social Sciences-23 and Amos-18 were the statistical software used to analyze the data. The results suggest that paternalistic leadership positively affects employee creativity and psychological safety plays a mediating role in this relationship. While the effects of paternalistic leadership on employee resourcefulness are readily available, paternalistic leadership's mechanisms need elucidation. Previous studies have addressed issues, such as employees' job satisfaction and organizational commitment, covering Far East countries. Yet, the present research's findings enhance the cultural understanding of the conditions, where the paternalistic leader affects employee creativity. Moreover, leader affects must have managerial contributions to institutions.Paternal leadership and employee creativity: the mediating role of psychological safety
Lütfi Sürücü, Halil Yıldız, Murat Sağbaş
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research aims to analyze the factors affecting the people's performance working in the health sector to improve the services the health sector provide to society and increase the efficiency of their institutions.

Conceptual model covering paternalistic leadership, employee creativity and psychological safety as an intermediary role has been suggested. A questionnaire was applied to 600 employees of three hospitals in Izmir voluntarily and 531 questionnaire data were obtained to test the proposed model. Statistical Package for the Social Sciences-23 and Amos-18 were the statistical software used to analyze the data.

The results suggest that paternalistic leadership positively affects employee creativity and psychological safety plays a mediating role in this relationship. While the effects of paternalistic leadership on employee resourcefulness are readily available, paternalistic leadership's mechanisms need elucidation.

Previous studies have addressed issues, such as employees' job satisfaction and organizational commitment, covering Far East countries. Yet, the present research's findings enhance the cultural understanding of the conditions, where the paternalistic leader affects employee creativity. Moreover, leader affects must have managerial contributions to institutions.

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Paternal leadership and employee creativity: the mediating role of psychological safety10.1108/K-01-2022-0011Kybernetes2023-02-16© 2023 Emerald Publishing LimitedLütfi SürücüHalil YıldızMurat SağbaşKybernetesahead-of-printahead-of-print2023-02-1610.1108/K-01-2022-0011https://www.emerald.com/insight/content/doi/10.1108/K-01-2022-0011/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Diminishing returns or inverted U? The curvilinear relationship between eco-innovation and firms' sustainable business performance: the impact of market turbulencehttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0003/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestEco-innovations (EIs) are intended to benefit not only the environment but society and firms, but how the relationship is reconciled is unclear, particularly in emerging economies. The advancement of EI has resulted in both positive and negative relationships with sustainability, indicating that the association is more complex than a simple linear one. Thus, the authors hypothesize that EI has a curvilinear relationship with sustainable business performance (SPB) and that market turbulence (MT) exerts stimulus that reinforces EIs. Accordingly, using the Stata software, the authors apply a moderated regression to a sample size data of 511 manufacturing firms to test the hypothesized assumptions. Although the results attest to a positive relationship between EI and SBP, the results are synonymous with an inverted “U” shape that renders EIs unprofitable beyond a certain threshold (rebound effect). Additionally, the authors observe that the moderation stimulus of technology turbulence flattens the inverted U-shaped curve. Built on the foundations of natural-resource-based view (NRBV) and contingency theory, the authors identify the rebound effect point of EI and SBP and the reinforcing stimulus of MT.Diminishing returns or inverted U? The curvilinear relationship between eco-innovation and firms' sustainable business performance: the impact of market turbulence
Hu Xuhua, Otu Larbi-Siaw, Erika Tano Thompson
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Eco-innovations (EIs) are intended to benefit not only the environment but society and firms, but how the relationship is reconciled is unclear, particularly in emerging economies. The advancement of EI has resulted in both positive and negative relationships with sustainability, indicating that the association is more complex than a simple linear one.

Thus, the authors hypothesize that EI has a curvilinear relationship with sustainable business performance (SPB) and that market turbulence (MT) exerts stimulus that reinforces EIs. Accordingly, using the Stata software, the authors apply a moderated regression to a sample size data of 511 manufacturing firms to test the hypothesized assumptions.

Although the results attest to a positive relationship between EI and SBP, the results are synonymous with an inverted “U” shape that renders EIs unprofitable beyond a certain threshold (rebound effect). Additionally, the authors observe that the moderation stimulus of technology turbulence flattens the inverted U-shaped curve.

Built on the foundations of natural-resource-based view (NRBV) and contingency theory, the authors identify the rebound effect point of EI and SBP and the reinforcing stimulus of MT.

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Diminishing returns or inverted U? The curvilinear relationship between eco-innovation and firms' sustainable business performance: the impact of market turbulence10.1108/K-01-2023-0003Kybernetes2023-07-21© 2023 Emerald Publishing LimitedHu XuhuaOtu Larbi-SiawErika Tano ThompsonKybernetesahead-of-printahead-of-print2023-07-2110.1108/K-01-2023-0003https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0003/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Understanding medical service quality, system quality and information quality of Tele-Health for sustainable development in the Indian contexthttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0005/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the study is to comprehend medical service quality, information quality and system quality toward actual use of Tele-Health in rural India. The study further validates the impact of the actual use of Tele-Health on sustainable development, thus providing implications to improve upon the Tele-Health penetration in India. Data was collected from 326 healthcare practitioners practicing Tele-Health in North Indian states and Structural Equation Modeling was applied to validate the conceptual framework. The results indicated that medical service quality, information quality and system quality influence Tele-Health behavioral intentions which in turn impact actual use and sustainable development. This research draws upon a conceptual framework to deepen our understanding of Tele-Health by providing an all-inclusive overview. The massive topography of India with a prime rural populace instills the need for timely healthcare facilities. Tele-Health is a solution to all these problems but is at a nascent stage. Therefore, there is a vital need to study the factors which improve the penetration of Tele-Health in the Indian context. The model that emerged from the study may be validated by other Indian sub-continental countries so that Tele-Health may be implemented hassle-free.Understanding medical service quality, system quality and information quality of Tele-Health for sustainable development in the Indian context
Sushil Rana, Urvashi Tandon, Harish Kumar
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the study is to comprehend medical service quality, information quality and system quality toward actual use of Tele-Health in rural India. The study further validates the impact of the actual use of Tele-Health on sustainable development, thus providing implications to improve upon the Tele-Health penetration in India.

Data was collected from 326 healthcare practitioners practicing Tele-Health in North Indian states and Structural Equation Modeling was applied to validate the conceptual framework.

The results indicated that medical service quality, information quality and system quality influence Tele-Health behavioral intentions which in turn impact actual use and sustainable development. This research draws upon a conceptual framework to deepen our understanding of Tele-Health by providing an all-inclusive overview.

The massive topography of India with a prime rural populace instills the need for timely healthcare facilities. Tele-Health is a solution to all these problems but is at a nascent stage. Therefore, there is a vital need to study the factors which improve the penetration of Tele-Health in the Indian context. The model that emerged from the study may be validated by other Indian sub-continental countries so that Tele-Health may be implemented hassle-free.

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Understanding medical service quality, system quality and information quality of Tele-Health for sustainable development in the Indian context10.1108/K-01-2023-0005Kybernetes2023-05-10© 2023 Emerald Publishing LimitedSushil RanaUrvashi TandonHarish KumarKybernetesahead-of-printahead-of-print2023-05-1010.1108/K-01-2023-0005https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0005/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Impact of technostress and information technology support on HRIS user satisfaction: a moderation study through technology self-efficacyhttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0018/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research aimed to determine the relationship between technostress and information technology support (IT) and HRIS-related user satisfaction. The study also investigated the moderating influence of technological self-efficacy on the links between technostress, IT support, and HRIS user satisfaction. This quantitative study used the deductive research approach. The study's population was HRIS users from 37 Malaysian public sector organizations. The judgmental sampling technique was employed, and the sample size was 490. Data analysis was conducted through SPSS and PLS-SEM. The study showed that technostress is significantly associated with HRIS user satisfaction. While IT support, results show that literacy support, technological support, and technological involvement facilities significantly correlate with HRIS user satisfaction. In contrast, innovation support had an insignificant relationship with HRIS user satisfaction. The study also tested the moderation effect of technology self-efficacy in the relationships and found that technology self-efficacy only moderated the association of technostress and HRIS user satisfaction. HR departments of government agencies can use the study's findings to understand to what extent HRIS system users are satisfied and what needs to be done to improve the HRIS system. The study also sheds light on the technological pressures that employees encounter. Present study contributed to the literature by developing a study model of technostress, information technology support, technology self-efficacy, and HRIS user satisfaction. Further, the relationship of technostress with HRIS user satisfaction and the moderating effect of technology self-efficacy was explored for the first time, representing the study's novelty. The study also contributed to social cognitive theory and the theory of reasoned action by exploring attitudinal and behavioral aspects along with the cognitive aspects of users.Impact of technostress and information technology support on HRIS user satisfaction: a moderation study through technology self-efficacy
Hadziroh Ibrahim, Md. Lazim Mohd Zin, Attia Aman-Ullah, Mohd Razif Mohd Ghazi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research aimed to determine the relationship between technostress and information technology support (IT) and HRIS-related user satisfaction. The study also investigated the moderating influence of technological self-efficacy on the links between technostress, IT support, and HRIS user satisfaction.

This quantitative study used the deductive research approach. The study's population was HRIS users from 37 Malaysian public sector organizations. The judgmental sampling technique was employed, and the sample size was 490. Data analysis was conducted through SPSS and PLS-SEM.

The study showed that technostress is significantly associated with HRIS user satisfaction. While IT support, results show that literacy support, technological support, and technological involvement facilities significantly correlate with HRIS user satisfaction. In contrast, innovation support had an insignificant relationship with HRIS user satisfaction. The study also tested the moderation effect of technology self-efficacy in the relationships and found that technology self-efficacy only moderated the association of technostress and HRIS user satisfaction.

HR departments of government agencies can use the study's findings to understand to what extent HRIS system users are satisfied and what needs to be done to improve the HRIS system. The study also sheds light on the technological pressures that employees encounter.

Present study contributed to the literature by developing a study model of technostress, information technology support, technology self-efficacy, and HRIS user satisfaction. Further, the relationship of technostress with HRIS user satisfaction and the moderating effect of technology self-efficacy was explored for the first time, representing the study's novelty. The study also contributed to social cognitive theory and the theory of reasoned action by exploring attitudinal and behavioral aspects along with the cognitive aspects of users.

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Impact of technostress and information technology support on HRIS user satisfaction: a moderation study through technology self-efficacy10.1108/K-01-2023-0018Kybernetes2023-05-26© 2023 Emerald Publishing LimitedHadziroh IbrahimMd. Lazim Mohd ZinAttia Aman-UllahMohd Razif Mohd GhaziKybernetesahead-of-printahead-of-print2023-05-2610.1108/K-01-2023-0018https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0018/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
What makes electricity consumers change their behavior? Influence of attitude and perceived impact of DR programs on awarenesshttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0032/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn this study, the authors propose a confirmatory factor analysis (CFA) to create a tenable measurement model and identify the factors that have the potential to enhance awareness of pro-environmental measures. The successful implementation of demand response (DR) programs and their required infrastructure is significant for moving towards green energy communities and a better environment for living. Not only can renewable energy capacities contribute to this desideratum, but also electricity consumers who, until the last decade, have played a passive role. To answer these questions, a complex data set of 243 post-trial questions created by the Irish CER are analyzed using first-order and hierarchical CFA models with several SAS procedures (PROC CALIS, MIANALYZE). The questionnaire was launched to over 3,000 electricity consumers from Ireland that were participants to a trial program after the installation of smart metering systems and implementation of DR programs. The effect of five latent factors – positive attitude, negative attitude, perceived impact of own actions, price- and incentive-DR programs – is measured. With a bi-factor CFA measurement model, the authors assess that they significantly influence the electricity consumers' awareness. However, these findings have to be backed up by relevant information and simulations showing consumers benefits in exchange to their efforts. They have research implications on the design of the business models and DR programs pointing out the importance of benefits and fairness of value sharing mechanisms within energy communities. Thus, the electricity consumers may change their consumption behavior as they positively perceive the implementation of DR programs. This paper fulfills an identified need to study post-trial questionnaire and reveal latent factors that make electricity consumer change their behavior.What makes electricity consumers change their behavior? Influence of attitude and perceived impact of DR programs on awareness
Adela Bâra, Simona-Vasilica Oprea
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In this study, the authors propose a confirmatory factor analysis (CFA) to create a tenable measurement model and identify the factors that have the potential to enhance awareness of pro-environmental measures. The successful implementation of demand response (DR) programs and their required infrastructure is significant for moving towards green energy communities and a better environment for living. Not only can renewable energy capacities contribute to this desideratum, but also electricity consumers who, until the last decade, have played a passive role.

To answer these questions, a complex data set of 243 post-trial questions created by the Irish CER are analyzed using first-order and hierarchical CFA models with several SAS procedures (PROC CALIS, MIANALYZE). The questionnaire was launched to over 3,000 electricity consumers from Ireland that were participants to a trial program after the installation of smart metering systems and implementation of DR programs.

The effect of five latent factors – positive attitude, negative attitude, perceived impact of own actions, price- and incentive-DR programs – is measured. With a bi-factor CFA measurement model, the authors assess that they significantly influence the electricity consumers' awareness.

However, these findings have to be backed up by relevant information and simulations showing consumers benefits in exchange to their efforts. They have research implications on the design of the business models and DR programs pointing out the importance of benefits and fairness of value sharing mechanisms within energy communities.

Thus, the electricity consumers may change their consumption behavior as they positively perceive the implementation of DR programs.

This paper fulfills an identified need to study post-trial questionnaire and reveal latent factors that make electricity consumer change their behavior.

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What makes electricity consumers change their behavior? Influence of attitude and perceived impact of DR programs on awareness10.1108/K-01-2023-0032Kybernetes2023-05-26© 2023 Emerald Publishing LimitedAdela BâraSimona-Vasilica OpreaKybernetesahead-of-printahead-of-print2023-05-2610.1108/K-01-2023-0032https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0032/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Robust framework to prioritize blockchain-based supply chain challenges: the fuzzy best-worst approach for multiple criteria decision-makinghttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0046/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to identify and prioritize the challenges to adopting blockchain in supply chain management and to make its taxonomic model. Moreover, validate whether these challenging factors exist in the real world and, if they exist, then in what percentage. This research adopted the fuzzy best-worst method (F-BWM), which integrates fuzzy set theory with the best-worst method to identify and prioritize the prominent challenges of the blockchain-based supply chain by developing a weighted multi-criteria model. A total of 20 challenges (CH's) were identified. Lack of storage capacity/scalability and lack of data privacy challenges were found as key challenges. The findings of this study will provide a robust framework of the challenges that will assist academic researchers and industry practitioners in considering the most significant category concerning their working area. Blockchain provides the best solution for tracing and tracking where RFID has not succeeded. It can improve quality management in a supply chain network by improving standards and speeding up operations. For inventory management, blockchain provides transparency of documentation for both parties within no time. To the best of the authors' knowledge, no previous research has adopted the fuzzy best-worst method to prioritize the identified challenges of blockchain implementation in the supply chain. Moreover, no study provides a taxonomic model for the challenges of implementing a blockchain-based supply chain.Robust framework to prioritize blockchain-based supply chain challenges: the fuzzy best-worst approach for multiple criteria decision-making
Muhammad Shoaib, Shengzhong Zhang, Hassan Ali, Muhammad Azeem Akbar, Muhammad Hamza, Waheed Ur Rehman
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to identify and prioritize the challenges to adopting blockchain in supply chain management and to make its taxonomic model. Moreover, validate whether these challenging factors exist in the real world and, if they exist, then in what percentage.

This research adopted the fuzzy best-worst method (F-BWM), which integrates fuzzy set theory with the best-worst method to identify and prioritize the prominent challenges of the blockchain-based supply chain by developing a weighted multi-criteria model.

A total of 20 challenges (CH's) were identified. Lack of storage capacity/scalability and lack of data privacy challenges were found as key challenges. The findings of this study will provide a robust framework of the challenges that will assist academic researchers and industry practitioners in considering the most significant category concerning their working area.

Blockchain provides the best solution for tracing and tracking where RFID has not succeeded. It can improve quality management in a supply chain network by improving standards and speeding up operations. For inventory management, blockchain provides transparency of documentation for both parties within no time.

To the best of the authors' knowledge, no previous research has adopted the fuzzy best-worst method to prioritize the identified challenges of blockchain implementation in the supply chain. Moreover, no study provides a taxonomic model for the challenges of implementing a blockchain-based supply chain.

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Robust framework to prioritize blockchain-based supply chain challenges: the fuzzy best-worst approach for multiple criteria decision-making10.1108/K-01-2023-0046Kybernetes2023-05-16© 2023 Emerald Publishing LimitedMuhammad ShoaibShengzhong ZhangHassan AliMuhammad Azeem AkbarMuhammad HamzaWaheed Ur RehmanKybernetesahead-of-printahead-of-print2023-05-1610.1108/K-01-2023-0046https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0046/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A multi-case induction adaptation study of tacit knowledge based on NRS and CBRhttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0049/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to deal with the case adaptation problem associated with continuous data by providing a non-zero base solution for knowledge users in solving a given situation. Firstly, the neighbourhood transformation of the initial case base and the view similarity between the problem and the existing cases will be examined. Multiple cases with perspective similarity or above a predefined threshold will be used as the adaption cases. Secondly, on the decision rule set of the decision space, the deterministic decision model of the corresponding distance between the problem and the set of lower approximate objects under each choice class of the adaptation set is applied to extract the decision rule set of the case condition space. Finally, the solution elements of the problem will be reconstructed using the rule set and the values of the problem's conditional elements. The findings suggest that the classic knowledge matching approach reveals the user with the most similar knowledge/cases but relatively low satisfaction. This also revealed a non-zero adaptation based on human–computer interaction, which has the difficulties of solid subjectivity and low adaptation efficiency. In this study the multi-case inductive adaptation of the problem to be solved is carried out by analyzing and extracting the law of the effect of the centralized conditions on the decision-making of the adaptation. The adaption process is more rigorous with less subjective influence better reliability and higher application value. The approach described in this research can directly change the original data set which is more beneficial to enhancing problem-solving accuracy while broadening the application area of the adaptation mechanism. The examination of the calculation cases confirms the innovation of this study in comparison to the traditional method of matching cases with tacit knowledge extrapolation. The algorithm models established in this study develop theoretical directions for a multi-case induction adaptation study of tacit knowledge. This study designs a multi-case induction adaptation scheme by combining NRS and CBR for implicitly knowledgeable exogenous cases. A game-theoretic combinatorial assignment method is applied to calculate the case view and the view similarity based on the threshold screening.A multi-case induction adaptation study of tacit knowledge based on NRS and CBR
Jianhua Zhang, Liangchen Li, Fredrick Ahenkora Boamah, Shuwei Zhang, Longfei He
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to deal with the case adaptation problem associated with continuous data by providing a non-zero base solution for knowledge users in solving a given situation.

Firstly, the neighbourhood transformation of the initial case base and the view similarity between the problem and the existing cases will be examined. Multiple cases with perspective similarity or above a predefined threshold will be used as the adaption cases. Secondly, on the decision rule set of the decision space, the deterministic decision model of the corresponding distance between the problem and the set of lower approximate objects under each choice class of the adaptation set is applied to extract the decision rule set of the case condition space. Finally, the solution elements of the problem will be reconstructed using the rule set and the values of the problem's conditional elements.

The findings suggest that the classic knowledge matching approach reveals the user with the most similar knowledge/cases but relatively low satisfaction. This also revealed a non-zero adaptation based on human–computer interaction, which has the difficulties of solid subjectivity and low adaptation efficiency.

In this study the multi-case inductive adaptation of the problem to be solved is carried out by analyzing and extracting the law of the effect of the centralized conditions on the decision-making of the adaptation. The adaption process is more rigorous with less subjective influence better reliability and higher application value. The approach described in this research can directly change the original data set which is more beneficial to enhancing problem-solving accuracy while broadening the application area of the adaptation mechanism.

The examination of the calculation cases confirms the innovation of this study in comparison to the traditional method of matching cases with tacit knowledge extrapolation.

The algorithm models established in this study develop theoretical directions for a multi-case induction adaptation study of tacit knowledge.

This study designs a multi-case induction adaptation scheme by combining NRS and CBR for implicitly knowledgeable exogenous cases. A game-theoretic combinatorial assignment method is applied to calculate the case view and the view similarity based on the threshold screening.

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A multi-case induction adaptation study of tacit knowledge based on NRS and CBR10.1108/K-01-2023-0049Kybernetes2023-06-08© 2023 Emerald Publishing LimitedJianhua ZhangLiangchen LiFredrick Ahenkora BoamahShuwei ZhangLongfei HeKybernetesahead-of-printahead-of-print2023-06-0810.1108/K-01-2023-0049https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0049/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The nexus of knowledge management processes and innovation performance: the moderates of big data analyticalhttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0056/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the study is to identify how knowledge management processes impact innovation performance in the Jordanian medical sector (private hospitals) as well as identify how big data analytics moderates this performance. Two hundred ninety-one questionnaires were analyzed for the purpose of this study. A structural equation model (SEM) was used to test convergence validity, discriminant validity and reliability. In order to analyze the data, bootstrapping was used. The empirical results showed that all knowledge management processes are statistically significant in influencing innovation performance. Furthermore, big data analytics moderates the relationship between knowledge management processes and innovation performance. The results of this cross-sectional study are limited to one country and one industry due to methodological limitations, and the results represent a snapshot at a particular point in time. Jordan's medical leaders will benefit from this study, since it emphasizes the importance of knowledge management processes to enhance innovation performance, especially given the importance of big data analytics in the field, increasing innovation capabilities in the medical field, thereby increasing innovation levels.The nexus of knowledge management processes and innovation performance: the moderates of big data analytical
Shadi Abualoush
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the study is to identify how knowledge management processes impact innovation performance in the Jordanian medical sector (private hospitals) as well as identify how big data analytics moderates this performance.

Two hundred ninety-one questionnaires were analyzed for the purpose of this study. A structural equation model (SEM) was used to test convergence validity, discriminant validity and reliability. In order to analyze the data, bootstrapping was used.

The empirical results showed that all knowledge management processes are statistically significant in influencing innovation performance. Furthermore, big data analytics moderates the relationship between knowledge management processes and innovation performance.

The results of this cross-sectional study are limited to one country and one industry due to methodological limitations, and the results represent a snapshot at a particular point in time.

Jordan's medical leaders will benefit from this study, since it emphasizes the importance of knowledge management processes to enhance innovation performance, especially given the importance of big data analytics in the field, increasing innovation capabilities in the medical field, thereby increasing innovation levels.

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The nexus of knowledge management processes and innovation performance: the moderates of big data analytical10.1108/K-01-2023-0056Kybernetes2023-12-20© 2023 Emerald Publishing LimitedShadi AbualoushKybernetesahead-of-printahead-of-print2023-12-2010.1108/K-01-2023-0056https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0056/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Empathy doesn't just mean “if I were in your shoes”: serial mediation model to unearth relationship between organizational empathy and learninghttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0058/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe present research aims to demonstrate the relationship between organizational empathy (OE) and organizational learning (OL), and the serial mediation effect of organizational identity (OI) and organizational helping behavior (OHB) in this relationship. Data were collected from a total of 270 companies through the survey method. Then, validity and reliability tests were conducted. Next, Hayes' model 6 was used to test the serial mediator effect. The authors found that (1) OE is positively related to OL, (2) OI mediates the relationship between OE and OL, (3) OHB mediates the relationship between OE and OL and (4) the relationship between OE and OL is serially mediated by OI and OHB. Empathy is an important power in regulating interpersonal behavior and relationships. Organizational empathy is also an important criterion for organizations to achieve their goals. However, despite the importance emphasized in the literature, how organizational empathy influences other organizational outcomes is still a black box. For this purpose, the authors conducted this study to uncover the relationship between OE and OL. In addition, the serial mediator effect of OI and OHB is revealed in this relationship. Hence, we aimed to make a humble contribution to the literature. Although there are many studies on “individual empathy” in the literature, there is no study in which “organizational empathy” is measured empirically. The authors hope that this study will be useful for future research.Empathy doesn't just mean “if I were in your shoes”: serial mediation model to unearth relationship between organizational empathy and learning
Gülay Murat Eminoğlu, Meral Elçi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The present research aims to demonstrate the relationship between organizational empathy (OE) and organizational learning (OL), and the serial mediation effect of organizational identity (OI) and organizational helping behavior (OHB) in this relationship.

Data were collected from a total of 270 companies through the survey method. Then, validity and reliability tests were conducted. Next, Hayes' model 6 was used to test the serial mediator effect.

The authors found that (1) OE is positively related to OL, (2) OI mediates the relationship between OE and OL, (3) OHB mediates the relationship between OE and OL and (4) the relationship between OE and OL is serially mediated by OI and OHB.

Empathy is an important power in regulating interpersonal behavior and relationships. Organizational empathy is also an important criterion for organizations to achieve their goals. However, despite the importance emphasized in the literature, how organizational empathy influences other organizational outcomes is still a black box. For this purpose, the authors conducted this study to uncover the relationship between OE and OL. In addition, the serial mediator effect of OI and OHB is revealed in this relationship. Hence, we aimed to make a humble contribution to the literature. Although there are many studies on “individual empathy” in the literature, there is no study in which “organizational empathy” is measured empirically. The authors hope that this study will be useful for future research.

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Empathy doesn't just mean “if I were in your shoes”: serial mediation model to unearth relationship between organizational empathy and learning10.1108/K-01-2023-0058Kybernetes2023-05-16© 2023 Emerald Publishing LimitedGülay Murat EminoğluMeral ElçiKybernetesahead-of-printahead-of-print2023-05-1610.1108/K-01-2023-0058https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0058/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Data governance services evaluation: a multi-attribute group decision-making method with multigranular uncertain linguistic variableshttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0061/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestGovernment organizations often store large amounts of data and need to choose effective data governance service to achieve digital government. This paper aims to propose a novel multi-attribute group decision-making (MAGDM) method with multigranular uncertain linguistic variables for the selection of data governance service provider. This paper presents a MAGDM method based on multigranular uncertain linguistic variables and minimum adjustment consensus. First, a novel transformation function is proposed to unify the multigranular uncertain linguistic variables. Then, the weights of the criteria are determined by building a linear programming model with positive and negative ideal solutions. To obtain the consensus opinion, a minimum adjustment consensus model with multigranular uncertain linguistic variables is established. Furthermore, the consensus opinion is aggregated to obtain the best data governance service provider. Finally, the proposed method is demonstrated by the application of the selection of data governance service provider. The proposed consensus model with minimum adjustments could facilitate the consensus building and obtain a higher group consensus, while traditional consensus methods often need multiple rounds of modifications. Due to different backgrounds and professional fields, decision-makers (DMs) often provide multigranular uncertain linguistic variables. The proposed transformation function based on the positive ideal solution could help DMs understand each other and facilitate the interactions among DMs. The minimum adjustment consensus-based MAGDM method with multigranular uncertain linguistic variables is proposed to achieve the group consensus. The application of the proposed method in the selection of data governance service provider is also investigated.Data governance services evaluation: a multi-attribute group decision-making method with multigranular uncertain linguistic variables
Zimi Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Government organizations often store large amounts of data and need to choose effective data governance service to achieve digital government. This paper aims to propose a novel multi-attribute group decision-making (MAGDM) method with multigranular uncertain linguistic variables for the selection of data governance service provider.

This paper presents a MAGDM method based on multigranular uncertain linguistic variables and minimum adjustment consensus. First, a novel transformation function is proposed to unify the multigranular uncertain linguistic variables. Then, the weights of the criteria are determined by building a linear programming model with positive and negative ideal solutions. To obtain the consensus opinion, a minimum adjustment consensus model with multigranular uncertain linguistic variables is established. Furthermore, the consensus opinion is aggregated to obtain the best data governance service provider. Finally, the proposed method is demonstrated by the application of the selection of data governance service provider.

The proposed consensus model with minimum adjustments could facilitate the consensus building and obtain a higher group consensus, while traditional consensus methods often need multiple rounds of modifications. Due to different backgrounds and professional fields, decision-makers (DMs) often provide multigranular uncertain linguistic variables. The proposed transformation function based on the positive ideal solution could help DMs understand each other and facilitate the interactions among DMs.

The minimum adjustment consensus-based MAGDM method with multigranular uncertain linguistic variables is proposed to achieve the group consensus. The application of the proposed method in the selection of data governance service provider is also investigated.

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Data governance services evaluation: a multi-attribute group decision-making method with multigranular uncertain linguistic variables10.1108/K-01-2023-0061Kybernetes2023-04-14© 2023 Emerald Publishing LimitedZimi WangKybernetesahead-of-printahead-of-print2023-04-1410.1108/K-01-2023-0061https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0061/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
TOTEs and trauma 2: a rat maternal care and stress epigenetic schematichttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0083/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis conceptual article presents a schematic of rat maternal behavior and niche stress epigenetic effects as a case study that is then aligned with current evolutionary concepts, which raises new questions regarding immigrant assimilation and niche dynamics. The necessary background material for rat maternal and niche(s) stress factors are incorporated into a recursive, test-operate-test (rTOT), information-only-transfer, schematic (Patterson, 2023), which is an extension and refinement of the test-operate-test-exit (TOTE) schematic of Miller et al. (1960). The generated epigenetic rTOT demonstrates the fundamental evolutionary unit of the flexible organism within its niche(s). The rTOT also confirms that epigenetic processes, epigenetic inheritance and phenotype plasticity are significant conceptual tools for understanding evolution. The teleology of rat adaptations for niche fitness via maternal behavior has been demonstrated. Sterling's (2011) allostasis, or predictive homeostasis, is extended to include species-niche(s) interaction(s) that are governed by recursive information feedback loops that function via self-organized criticality (SOC) for species and niche(s). Use of a rat model for biosocial issues in humans is strengthened. Epigenetic rTOT only covers the species side of the evolutionary unit. Niche(s) require(s) a separate rTOT schematic. The information modeled does not include the entire system producing epigenetic effects but models a substantial portion of it. Epigenetic rTOT demonstrates the utility of phenotypic plasticity, epigenetics and epigenetic inheritance as explanations for inheritable behavior patterns. rTOT is a useful computational model for evolutionary issues. The issues involved in niche modeling using an rTOT schematic are briefly reviewed. When the demonstrated epigenetic model of rat genetics and inherited behavior are applied to the issues of immigrant enclaves, epigenetic complications for the difficulties of assimilation into the culture within which the enclaves are embedded become apparent. However, the questions raised must be addressed with extreme care to avoid cultural imperialism. Such cultural issues must be modeled with an rTOT application that covers the materials involved. The limitations of human Learning III restrictions when attempting to model Learning IV issues are addressed. Research into the means by which abuse and trauma are maintained by epigenetic means is urgently needed. The rTOT schematic visualizes rat maternal behavior and stress epigenetic effects that produce inheritable behavior patterns, which answers Jablonka's (2017) request for new computational modeling representations. The concept of allostasis, or predictive homeostasis, (Sterling, 2011) is extended to the niche(s) of the organism under study so that allostasis becomes a fully cybernetic concept governed by SOC for both the organism and its niche(s). This new case study confirmed evolutionary effects of epigenetics, epigenetic inheritance and phenotypic plasticity. Niche control of organism evolution is presented. Epigenetic applications for immigrant assimilation issues have been suggested and niche dynamic questions have been raised.TOTEs and trauma 2: a rat maternal care and stress epigenetic schematic
Kip Errett Patterson
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This conceptual article presents a schematic of rat maternal behavior and niche stress epigenetic effects as a case study that is then aligned with current evolutionary concepts, which raises new questions regarding immigrant assimilation and niche dynamics.

The necessary background material for rat maternal and niche(s) stress factors are incorporated into a recursive, test-operate-test (rTOT), information-only-transfer, schematic (Patterson, 2023), which is an extension and refinement of the test-operate-test-exit (TOTE) schematic of Miller et al. (1960).

The generated epigenetic rTOT demonstrates the fundamental evolutionary unit of the flexible organism within its niche(s). The rTOT also confirms that epigenetic processes, epigenetic inheritance and phenotype plasticity are significant conceptual tools for understanding evolution. The teleology of rat adaptations for niche fitness via maternal behavior has been demonstrated. Sterling's (2011) allostasis, or predictive homeostasis, is extended to include species-niche(s) interaction(s) that are governed by recursive information feedback loops that function via self-organized criticality (SOC) for species and niche(s). Use of a rat model for biosocial issues in humans is strengthened.

Epigenetic rTOT only covers the species side of the evolutionary unit. Niche(s) require(s) a separate rTOT schematic. The information modeled does not include the entire system producing epigenetic effects but models a substantial portion of it.

Epigenetic rTOT demonstrates the utility of phenotypic plasticity, epigenetics and epigenetic inheritance as explanations for inheritable behavior patterns. rTOT is a useful computational model for evolutionary issues. The issues involved in niche modeling using an rTOT schematic are briefly reviewed.

When the demonstrated epigenetic model of rat genetics and inherited behavior are applied to the issues of immigrant enclaves, epigenetic complications for the difficulties of assimilation into the culture within which the enclaves are embedded become apparent. However, the questions raised must be addressed with extreme care to avoid cultural imperialism. Such cultural issues must be modeled with an rTOT application that covers the materials involved. The limitations of human Learning III restrictions when attempting to model Learning IV issues are addressed. Research into the means by which abuse and trauma are maintained by epigenetic means is urgently needed.

The rTOT schematic visualizes rat maternal behavior and stress epigenetic effects that produce inheritable behavior patterns, which answers Jablonka's (2017) request for new computational modeling representations. The concept of allostasis, or predictive homeostasis, (Sterling, 2011) is extended to the niche(s) of the organism under study so that allostasis becomes a fully cybernetic concept governed by SOC for both the organism and its niche(s). This new case study confirmed evolutionary effects of epigenetics, epigenetic inheritance and phenotypic plasticity. Niche control of organism evolution is presented. Epigenetic applications for immigrant assimilation issues have been suggested and niche dynamic questions have been raised.

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TOTEs and trauma 2: a rat maternal care and stress epigenetic schematic10.1108/K-01-2023-0083Kybernetes2023-04-03© 2023 Emerald Publishing LimitedKip Errett PattersonKybernetesahead-of-printahead-of-print2023-04-0310.1108/K-01-2023-0083https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0083/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Urban-biased policy, government intervention and urban-rural income gap: evidence from provincial government work reports in Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0084/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to test the causal relationship between urban-biased policy and urban-rural income gap and further examine the moderating role of government intervention. Based on the provincial Government Work Reports and the long-term policy practice of implementing the target responsibility system, the authors construct a unique indicator of urban-biased policy in China. Further, applying the panel data of 30 Chinese provinces in 2003–2018, the authors explore the causal relationship between urban-biased policy and urban-rural income gap. The results show that urban-biased policy has contributed to the widen urban-rural income gap in China, which supports Lipton's urban-biased hypothesis. Further research shows that the stronger the government intervention, the bigger the role of urban-biased policy in widening urban-rural income gap. On the one hand, this study not only investigates the direct effect of urban-biased policy on urban-rural income gap, but also examines the moderating effect from the perspective of government intervention, which helps to enrich the relevant studies of urban-biased theory. On the other hand, the authors' findings provide the latest empirical evidence for urban-biased policy to widen urban-rural income gap and presents a reference and warning for China and other developing countries about balancing the relationship between equity and efficiency during economic development.Urban-biased policy, government intervention and urban-rural income gap: evidence from provincial government work reports in China
Changfei Nie, Haohui Wang, Yuan Feng
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to test the causal relationship between urban-biased policy and urban-rural income gap and further examine the moderating role of government intervention.

Based on the provincial Government Work Reports and the long-term policy practice of implementing the target responsibility system, the authors construct a unique indicator of urban-biased policy in China. Further, applying the panel data of 30 Chinese provinces in 2003–2018, the authors explore the causal relationship between urban-biased policy and urban-rural income gap.

The results show that urban-biased policy has contributed to the widen urban-rural income gap in China, which supports Lipton's urban-biased hypothesis. Further research shows that the stronger the government intervention, the bigger the role of urban-biased policy in widening urban-rural income gap.

On the one hand, this study not only investigates the direct effect of urban-biased policy on urban-rural income gap, but also examines the moderating effect from the perspective of government intervention, which helps to enrich the relevant studies of urban-biased theory. On the other hand, the authors' findings provide the latest empirical evidence for urban-biased policy to widen urban-rural income gap and presents a reference and warning for China and other developing countries about balancing the relationship between equity and efficiency during economic development.

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Urban-biased policy, government intervention and urban-rural income gap: evidence from provincial government work reports in China10.1108/K-01-2023-0084Kybernetes2023-08-07© 2023 Emerald Publishing LimitedChangfei NieHaohui WangYuan FengKybernetesahead-of-printahead-of-print2023-08-0710.1108/K-01-2023-0084https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0084/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How peer feedback affects knowledge contribution in online innovation communities: a social identity perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0100/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe research aims to explore the influence mechanism of peer feedback and users' knowledge contribution behavior. This study draws on the social identity theory and considers social identity as a mediating factor into the research framework. This paper collected users' activity data of 142,191 ideas submitted by 76,647 users from the MIUI community between October 2010 and May 2018 via Python software, and data were processed using Stata 16.0. The results indicate that knowledge feedback and social feedback positively influence users' knowledge contribution (quantity and quality), respectively. User's cognitive identity positively mediates the relationship between peer feedback and knowledge contribution behavior, affective identity positively mediates the relationship between peer feedback and knowledge contribution behavior, while evaluative identity positively mediates the relationship between peer feedback and knowledge contribution quality, but there is no mediating effect between peer feedback and knowledge contribution quantity. This study advances knowledge management by highlighting peer feedback on online innovation communities. By demonstrating the significant mediating effect of social identity, this study empirically clarifies the relationships of peer feedback (knowledge feedback and social feedback) to specific dimensions of knowledge contribution, thereby providing managerial guidance to the online innovation community on incentivizing and managing user interaction to foster the innovation development of firms.How peer feedback affects knowledge contribution in online innovation communities: a social identity perspective
Liya Wang, Rong Cong, Shuxiang Wang, Sitan Li, Ya Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The research aims to explore the influence mechanism of peer feedback and users' knowledge contribution behavior. This study draws on the social identity theory and considers social identity as a mediating factor into the research framework.

This paper collected users' activity data of 142,191 ideas submitted by 76,647 users from the MIUI community between October 2010 and May 2018 via Python software, and data were processed using Stata 16.0.

The results indicate that knowledge feedback and social feedback positively influence users' knowledge contribution (quantity and quality), respectively. User's cognitive identity positively mediates the relationship between peer feedback and knowledge contribution behavior, affective identity positively mediates the relationship between peer feedback and knowledge contribution behavior, while evaluative identity positively mediates the relationship between peer feedback and knowledge contribution quality, but there is no mediating effect between peer feedback and knowledge contribution quantity.

This study advances knowledge management by highlighting peer feedback on online innovation communities. By demonstrating the significant mediating effect of social identity, this study empirically clarifies the relationships of peer feedback (knowledge feedback and social feedback) to specific dimensions of knowledge contribution, thereby providing managerial guidance to the online innovation community on incentivizing and managing user interaction to foster the innovation development of firms.

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How peer feedback affects knowledge contribution in online innovation communities: a social identity perspective10.1108/K-01-2023-0100Kybernetes2023-05-08© 2023 Emerald Publishing LimitedLiya WangRong CongShuxiang WangSitan LiYa WangKybernetesahead-of-printahead-of-print2023-05-0810.1108/K-01-2023-0100https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0100/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A hybrid agent-based model integrated with a multi-stage learning-based fuzzy cognitive maphttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0104/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article proposes a novel hybrid simulation model for understanding the complex tobacco use behavior. The model is developed by embedding the concept of the multistage learning-based fuzzy cognitive map (FCM) into the agent-based model (ABM) in order to benefit from advantageous of each methodology. The ABM is used to represent individual level behaviors while the FCM is used as a decision support mechanism for individuals. In this study, socio-demographic characteristics of individuals, tobacco control policies, and social network effect are taken into account to reflect the current tobacco use system of Turkey. The effects of plain package and COVID-19 on tobacco use behaviors of individuals are also searched under different scenarios. The findings indicate that the proposed model provides promising results for representing the mental models of agents. Besides, the scenario analyses help to observe the possible reactions of people to new conditions according to characteristics. The proposed method combined ABM and FCM with a multi-stage learning phases for modeling a complex and dynamic social problem as close as real life. It is expected to contribute for both ABM and tobacco use literature.A hybrid agent-based model integrated with a multi-stage learning-based fuzzy cognitive map
Pinar Kocabey Ciftci, Zeynep Didem Unutmaz Durmusoglu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article proposes a novel hybrid simulation model for understanding the complex tobacco use behavior.

The model is developed by embedding the concept of the multistage learning-based fuzzy cognitive map (FCM) into the agent-based model (ABM) in order to benefit from advantageous of each methodology. The ABM is used to represent individual level behaviors while the FCM is used as a decision support mechanism for individuals. In this study, socio-demographic characteristics of individuals, tobacco control policies, and social network effect are taken into account to reflect the current tobacco use system of Turkey. The effects of plain package and COVID-19 on tobacco use behaviors of individuals are also searched under different scenarios.

The findings indicate that the proposed model provides promising results for representing the mental models of agents. Besides, the scenario analyses help to observe the possible reactions of people to new conditions according to characteristics.

The proposed method combined ABM and FCM with a multi-stage learning phases for modeling a complex and dynamic social problem as close as real life. It is expected to contribute for both ABM and tobacco use literature.

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A hybrid agent-based model integrated with a multi-stage learning-based fuzzy cognitive map10.1108/K-01-2023-0104Kybernetes2023-05-24© 2023 Emerald Publishing LimitedPinar Kocabey CiftciZeynep Didem Unutmaz DurmusogluKybernetesahead-of-printahead-of-print2023-05-2410.1108/K-01-2023-0104https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0104/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Role of service quality factors in word of mouth through student satisfactionhttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0119/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestService quality in academics is imperatively crucial. Therefore, the purpose of the current research is to examine the effect of academic service quality factors in higher education institutions which mainly focuses on students' satisfaction and the extent of recommending the same institution to other students. This research evaluated the effect of service quality on student satisfaction and word of mouth (WOM). Data were collected from 200 respondents from various business schools, and hypotheses were tested through a quantitative method using partial least square-structural equation modelling (PLS-SEM) with the help of SmartPLS to validate the measurement model. The findings of the current research revealed that all three components of service quality including information quality, teaching quality and service efficiency have a significant impact on student satisfaction. Results also indicated that student satisfaction is significantly linked with WOM which means satisfied students spread positive WOM and recommend the same institution to other students. This research provides an extension towards the body of knowledge on the issue, which will be used in future detailed and critical examinations. The focus of the research was on SERVQUAL and how, when and why business schools may spot possible applications that can have an influence on their admissions by WOM.Role of service quality factors in word of mouth through student satisfaction
Rizwana Rasheed, Aamir Rashid
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Service quality in academics is imperatively crucial. Therefore, the purpose of the current research is to examine the effect of academic service quality factors in higher education institutions which mainly focuses on students' satisfaction and the extent of recommending the same institution to other students.

This research evaluated the effect of service quality on student satisfaction and word of mouth (WOM). Data were collected from 200 respondents from various business schools, and hypotheses were tested through a quantitative method using partial least square-structural equation modelling (PLS-SEM) with the help of SmartPLS to validate the measurement model.

The findings of the current research revealed that all three components of service quality including information quality, teaching quality and service efficiency have a significant impact on student satisfaction. Results also indicated that student satisfaction is significantly linked with WOM which means satisfied students spread positive WOM and recommend the same institution to other students.

This research provides an extension towards the body of knowledge on the issue, which will be used in future detailed and critical examinations. The focus of the research was on SERVQUAL and how, when and why business schools may spot possible applications that can have an influence on their admissions by WOM.

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Role of service quality factors in word of mouth through student satisfaction10.1108/K-01-2023-0119Kybernetes2023-04-20© 2023 Emerald Publishing LimitedRizwana RasheedAamir RashidKybernetesahead-of-printahead-of-print2023-04-2010.1108/K-01-2023-0119https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0119/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Personal resources at play: the mediating role of psychological capital in the relationship between new ways of working and life satisfactionhttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0126/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe new ways of working (NWW), a contemporary work environment with temporal and spatial flexibilities, has become an enforced reality after the COVID-19 pandemic disrupted workplaces. However, the understanding of how it impacts employee well-being perceptions is limited. Hence, the current study aims to examine how the NWW facets, namely, time- and location-independent work, management of output, access to organizational knowledge and flexibility in working relations relate to employees' life satisfaction, mediated by psychological capital. A cross-sectional survey was designed to collect data from 459 Indian knowledge workers. Model fit and the hypothesized relationships were tested using IBM SPSS 25, AMOS and PROCESS Macro. All four NWW facets positively relate to psychological capital, which in turn associates with life satisfaction. Except for the facet “management of output”, the other three facets associate positively with life satisfaction before accounting for the mediator. Indirect effects of all four facets on life satisfaction via psychological capital were established. Overall, the findings establish the important mediating role of psychological capital in relating the NWW facets with life satisfaction. By examining the previously unexplored relationships between NWW, psychological capital and life satisfaction, this study provides novel insights into the role of personal resources in maximizing the beneficial effects of the NWW practices and is highly relevant in the current context where organizations are trying to identify coping mechanisms that help employees adapt to workplace transformations.Personal resources at play: the mediating role of psychological capital in the relationship between new ways of working and life satisfaction
Priyadharshini Vasudevan, L. Suganthi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The new ways of working (NWW), a contemporary work environment with temporal and spatial flexibilities, has become an enforced reality after the COVID-19 pandemic disrupted workplaces. However, the understanding of how it impacts employee well-being perceptions is limited. Hence, the current study aims to examine how the NWW facets, namely, time- and location-independent work, management of output, access to organizational knowledge and flexibility in working relations relate to employees' life satisfaction, mediated by psychological capital.

A cross-sectional survey was designed to collect data from 459 Indian knowledge workers. Model fit and the hypothesized relationships were tested using IBM SPSS 25, AMOS and PROCESS Macro.

All four NWW facets positively relate to psychological capital, which in turn associates with life satisfaction. Except for the facet “management of output”, the other three facets associate positively with life satisfaction before accounting for the mediator. Indirect effects of all four facets on life satisfaction via psychological capital were established. Overall, the findings establish the important mediating role of psychological capital in relating the NWW facets with life satisfaction.

By examining the previously unexplored relationships between NWW, psychological capital and life satisfaction, this study provides novel insights into the role of personal resources in maximizing the beneficial effects of the NWW practices and is highly relevant in the current context where organizations are trying to identify coping mechanisms that help employees adapt to workplace transformations.

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Personal resources at play: the mediating role of psychological capital in the relationship between new ways of working and life satisfaction10.1108/K-01-2023-0126Kybernetes2023-06-16© 2023 Emerald Publishing LimitedPriyadharshini VasudevanL. SuganthiKybernetesahead-of-printahead-of-print2023-06-1610.1108/K-01-2023-0126https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0126/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
What drives innovativeness in higher education? Evidence from two emerging marketshttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0127/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestProsperity and growth of emerging economies rely heavily on the innovativeness of higher education institutions (HEIs) and their ability to provide employable graduates with entrepreneurial competencies and flexibility in the assessment of their progress in gaining knowledge. The innovativeness of the higher education system is not always reflected through optimal educational content, innovative study programs, skills improvement, assessment methods, etc. The study aims to analyze and evaluate how selected internal factors, reflected in organizational support for innovativeness of HEIs, and external factors reflected in government support for innovativeness of HEIs determine the innovativeness of HEIs, as one of the key determinants of economic prosperity. The authors analyzed three facets of higher education innovativeness, i.e. graduates' employability, entrepreneurial competencies and new ways of assessment. The sample included 664 students from the University of Kragujevac, Serbia, and the University of Maribor, Slovenia. The authors applied structural equation modeling (SEM) to examine relations. The results clearly show that in order to become the driver of development in emerging economies, universities must act in different directions, focusing on different organizational drivers of innovativeness, such as academic autonomy of teachers, student participation in curricula design, enhancing new ideas and compensation system, provide resources etc. Organizational support and government for innovativeness of HEIs affect students' entrepreneurial and social skills, creative thinking, leadership, interactive competencies and knowledge-skill-attitude. Assessment tasks and associated learning should be redesigned to enable students to be involved in the evaluation of their work. The study strives to reduce the research gap identified in the field of researching the drivers of innovativeness in higher education and offers implications for emerging markets regarding various factors that determine the innovativeness of HEIs and consequently contribute to fostering innovation and entrepreneurship in emerging markets. Originality derives from the fact that even though the authors have explored HEIs in Serbia and Slovenia, the results are fully transferrable to other former socialist states, considering their similar socio-economic and educational background. Results of this research complement the understanding and provide new knowledge for further development of innovativeness in HE.What drives innovativeness in higher education? Evidence from two emerging markets
Dejana Zlatanović, Jelena Nikolić, Vojko Potočan, Jelena Erić Nielsen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Prosperity and growth of emerging economies rely heavily on the innovativeness of higher education institutions (HEIs) and their ability to provide employable graduates with entrepreneurial competencies and flexibility in the assessment of their progress in gaining knowledge. The innovativeness of the higher education system is not always reflected through optimal educational content, innovative study programs, skills improvement, assessment methods, etc. The study aims to analyze and evaluate how selected internal factors, reflected in organizational support for innovativeness of HEIs, and external factors reflected in government support for innovativeness of HEIs determine the innovativeness of HEIs, as one of the key determinants of economic prosperity.

The authors analyzed three facets of higher education innovativeness, i.e. graduates' employability, entrepreneurial competencies and new ways of assessment. The sample included 664 students from the University of Kragujevac, Serbia, and the University of Maribor, Slovenia. The authors applied structural equation modeling (SEM) to examine relations.

The results clearly show that in order to become the driver of development in emerging economies, universities must act in different directions, focusing on different organizational drivers of innovativeness, such as academic autonomy of teachers, student participation in curricula design, enhancing new ideas and compensation system, provide resources etc. Organizational support and government for innovativeness of HEIs affect students' entrepreneurial and social skills, creative thinking, leadership, interactive competencies and knowledge-skill-attitude. Assessment tasks and associated learning should be redesigned to enable students to be involved in the evaluation of their work.

The study strives to reduce the research gap identified in the field of researching the drivers of innovativeness in higher education and offers implications for emerging markets regarding various factors that determine the innovativeness of HEIs and consequently contribute to fostering innovation and entrepreneurship in emerging markets. Originality derives from the fact that even though the authors have explored HEIs in Serbia and Slovenia, the results are fully transferrable to other former socialist states, considering their similar socio-economic and educational background. Results of this research complement the understanding and provide new knowledge for further development of innovativeness in HE.

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What drives innovativeness in higher education? Evidence from two emerging markets10.1108/K-01-2023-0127Kybernetes2023-08-31© 2023 Emerald Publishing LimitedDejana ZlatanovićJelena NikolićVojko PotočanJelena Erić NielsenKybernetesahead-of-printahead-of-print2023-08-3110.1108/K-01-2023-0127https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0127/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Investigating factors influencing individual user's intention to adopt cloud computing: a hybrid approach using PLS-SEM and fsQCAhttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0133/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe main objective of this study is to investigate the factors that influence the adoption intention of cloud computing services among individual users using the extended theory of planned behavior. A purposive sampling technique was used to collect a total of 339 data points, which were analyzed using SmartPLS to derive variance-based structural equation modeling and fuzzy-set qualitative comparative analysis (fsQCA). The results obtained from PLS-SEM indicate that attitude towards cloud computing, subjective norms, perceived behavioral control, perceived security, cost-effectiveness, and performance expectancy all have a positive and significant impact on the adoption intention of cloud computing services among individual users. On the other hand, the findings from fsQCA provide a clear interpretation and deeper insights into the adoption intention of individual users of cloud computing services by revealing the complex relationships between multiple combinations of antecedents. This helps to understand the reasons for individual users' adoption intention in emerging countries. This study offers valuable insights to cloud service providers and cyber entrepreneurs on how to promote cloud computing services to individual users in developing countries. It helps these organizations understand their priorities for encouraging cloud computing adoption among individual users from emerging countries. Additionally, policymakers can also understand their role in creating a comfortable and flexible cloud computing access environment for individual users. This study has contributed to the increasingly growing empirical literature on cloud computing adoption and demonstrates the effectiveness of the proposed theoretical framework in identifying the potential reasons for the slow growth of cloud computing services adoption in the developing world.Investigating factors influencing individual user's intention to adopt cloud computing: a hybrid approach using PLS-SEM and fsQCA
Razib Chandra Chanda, Ali Vafaei-Zadeh, Haniruzila Hanifah, T. Ramayah
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The main objective of this study is to investigate the factors that influence the adoption intention of cloud computing services among individual users using the extended theory of planned behavior.

A purposive sampling technique was used to collect a total of 339 data points, which were analyzed using SmartPLS to derive variance-based structural equation modeling and fuzzy-set qualitative comparative analysis (fsQCA).

The results obtained from PLS-SEM indicate that attitude towards cloud computing, subjective norms, perceived behavioral control, perceived security, cost-effectiveness, and performance expectancy all have a positive and significant impact on the adoption intention of cloud computing services among individual users. On the other hand, the findings from fsQCA provide a clear interpretation and deeper insights into the adoption intention of individual users of cloud computing services by revealing the complex relationships between multiple combinations of antecedents. This helps to understand the reasons for individual users' adoption intention in emerging countries.

This study offers valuable insights to cloud service providers and cyber entrepreneurs on how to promote cloud computing services to individual users in developing countries. It helps these organizations understand their priorities for encouraging cloud computing adoption among individual users from emerging countries. Additionally, policymakers can also understand their role in creating a comfortable and flexible cloud computing access environment for individual users.

This study has contributed to the increasingly growing empirical literature on cloud computing adoption and demonstrates the effectiveness of the proposed theoretical framework in identifying the potential reasons for the slow growth of cloud computing services adoption in the developing world.

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Investigating factors influencing individual user's intention to adopt cloud computing: a hybrid approach using PLS-SEM and fsQCA10.1108/K-01-2023-0133Kybernetes2023-07-18© 2023 Emerald Publishing LimitedRazib Chandra ChandaAli Vafaei-ZadehHaniruzila HanifahT. RamayahKybernetesahead-of-printahead-of-print2023-07-1810.1108/K-01-2023-0133https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0133/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Standard deviation and rank sum-based MARCOS model under intuitionistic fuzzy information for hospital site selectionhttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0136/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper develops a decision-analysis model to prioritize and select the site to establish a new hospital over different indicators such as cost, market conditions, environmental factors, government factors, locations and demographics. In this way, an integrated model is proposed under the intuitionistic fuzzy information (IFI), the standard deviation (SD), the rank-sum (RS) and the measurement of alternatives and ranking using the compromise solution (MARCOS) approach for ranking hospital sites (HSs). The IF-SD-RS model is presented to obtain the combined weight with the objective and subjective weights of diverse sub-criteria and indicators for ranking sites to establish the hospital. The IF-MARCOS model is discussed to prioritize the various sites to establish the hospital over several crucial indicators and sub-criteria. The authors implement the developed model on a case study of HSs assessment for the construction of new hospital. In this regard, inclusive set of 6 key indicators and 18 sub-criteria are considered for the evaluation of HSs. This study distinguished that HS (h2) with combined utility function 0.737 achieves highest rank compared to the other three sites for the given information. Sensitivity analysis is discussed with different parameter values of sub-criteria to examine how changes in weight parameter ratings of the sub-criteria affect the prioritization of the options. Finally, comparative discussion is made with the diverse extant models to show the reasonability of the developed method. This study aims to develop an original hybrid weighting tool called the IF-SD-RS model with the integration of IF-SD and IF-RS approaches to find the indicators' weights for prioritizing HSs. The developed integrated weighting model provides objective weight by IF-SD and subjective weight with the IF-RS model. The model presented in the paper deals with a consistent multi-attribute decision analysis (MADA) concerning the relations between indicators and sub-criteria for choosing the appropriate options using the developed IF-SD-RS-MARCOS model.Standard deviation and rank sum-based MARCOS model under intuitionistic fuzzy information for hospital site selection
Ibrahim M. Hezam, Anand Kumar Mishra, Dragan Pamucar, Pratibha Rani, Arunodaya Raj Mishra
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper develops a decision-analysis model to prioritize and select the site to establish a new hospital over different indicators such as cost, market conditions, environmental factors, government factors, locations and demographics. In this way, an integrated model is proposed under the intuitionistic fuzzy information (IFI), the standard deviation (SD), the rank-sum (RS) and the measurement of alternatives and ranking using the compromise solution (MARCOS) approach for ranking hospital sites (HSs).

The IF-SD-RS model is presented to obtain the combined weight with the objective and subjective weights of diverse sub-criteria and indicators for ranking sites to establish the hospital. The IF-MARCOS model is discussed to prioritize the various sites to establish the hospital over several crucial indicators and sub-criteria.

The authors implement the developed model on a case study of HSs assessment for the construction of new hospital. In this regard, inclusive set of 6 key indicators and 18 sub-criteria are considered for the evaluation of HSs. This study distinguished that HS (h2) with combined utility function 0.737 achieves highest rank compared to the other three sites for the given information. Sensitivity analysis is discussed with different parameter values of sub-criteria to examine how changes in weight parameter ratings of the sub-criteria affect the prioritization of the options. Finally, comparative discussion is made with the diverse extant models to show the reasonability of the developed method.

This study aims to develop an original hybrid weighting tool called the IF-SD-RS model with the integration of IF-SD and IF-RS approaches to find the indicators' weights for prioritizing HSs. The developed integrated weighting model provides objective weight by IF-SD and subjective weight with the IF-RS model. The model presented in the paper deals with a consistent multi-attribute decision analysis (MADA) concerning the relations between indicators and sub-criteria for choosing the appropriate options using the developed IF-SD-RS-MARCOS model.

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Standard deviation and rank sum-based MARCOS model under intuitionistic fuzzy information for hospital site selection10.1108/K-01-2023-0136Kybernetes2023-06-01© 2023 Emerald Publishing LimitedIbrahim M. HezamAnand Kumar MishraDragan PamucarPratibha RaniArunodaya Raj MishraKybernetesahead-of-printahead-of-print2023-06-0110.1108/K-01-2023-0136https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0136/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The impact of the Russia–Ukraine war on the United States natural gas futures priceshttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0138/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper attempts to investigate the impact of the Russia–Ukraine war on the returns and volatility of the United States (US) natural gas futures market. The study uses secondary data of 996 trading day provided by the US Department of Energy and investing.com websites and applies the event study methodology in addition to the generalized autoregressive conditional heteroscedastic (GARCH) family models. The findings from the exponential EGARCH (1,1) estimate are the best indication of a significant positive effects of the Ukraine–Russia war on the returns and volatility of the US natural gas futures prices. The cumulative abnormal returns (CARs) of the event study show that the natural gas futures prices reacted negatively but not significantly to the Russian–Ukraine war at the event date window [−1,1] and the [−15, −4] event window. CARs for the longer pre and post-event window display significant positive values and coincides with the standard finance theory for the case of the US natural gas futures over the Russia–Ukraine conflict. This is the first study to examine the impact of the Russia–Ukraine war on natural gas futures prices in the United States. Thus, it provides indications on the behavior of investors in this market and proposes new empirical evidence that help in investment analyses and decisions.The impact of the Russia–Ukraine war on the United States natural gas futures prices
Ghadi Saad
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper attempts to investigate the impact of the Russia–Ukraine war on the returns and volatility of the United States (US) natural gas futures market.

The study uses secondary data of 996 trading day provided by the US Department of Energy and investing.com websites and applies the event study methodology in addition to the generalized autoregressive conditional heteroscedastic (GARCH) family models.

The findings from the exponential EGARCH (1,1) estimate are the best indication of a significant positive effects of the Ukraine–Russia war on the returns and volatility of the US natural gas futures prices. The cumulative abnormal returns (CARs) of the event study show that the natural gas futures prices reacted negatively but not significantly to the Russian–Ukraine war at the event date window [−1,1] and the [−15, −4] event window. CARs for the longer pre and post-event window display significant positive values and coincides with the standard finance theory for the case of the US natural gas futures over the Russia–Ukraine conflict.

This is the first study to examine the impact of the Russia–Ukraine war on natural gas futures prices in the United States. Thus, it provides indications on the behavior of investors in this market and proposes new empirical evidence that help in investment analyses and decisions.

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The impact of the Russia–Ukraine war on the United States natural gas futures prices10.1108/K-01-2023-0138Kybernetes2023-05-16© 2023 Emerald Publishing LimitedGhadi SaadKybernetesahead-of-printahead-of-print2023-05-1610.1108/K-01-2023-0138https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0138/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Mythical systems: sign and symbolhttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0140/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe process of elaboration of the symbolic universe leads to important insights into the role of symbols in understanding human reasoning. Symbols become explanatory axes of universal global realities. Myths were constructed on these explanatory paths forming a superstructure of all belief systems with paraconsistent logic for the symbolism and a symbolic syntax. Myths and symbols are to be found in all cultures. Some of the most powerful and influential ones occur in popular culture since these often have the greatest immediate social impact. Semiotic and logical development of the symbols is in mythical systems. The dissolution of the myth and the degradation of the myth's symbols constitute a long-drawn-out process in modern Western society and wherever s influence reaches. Myth is a story that may contain symbolic elements, but compared to the symbols or images of the exceptional, myth is characterized by a “story.” Starting from a minimal definition to define myths and propose the following definition: Myth is a traditional tale that relates memorable and exemplary actions of extraordinary personages in prestigious and distant times, and myths have various forms and functions, perhaps some more clearly defined with a signifier than others, and different approaches can be combined for a better understanding of the myths. Dispensing with such simplistic assertions, and starting from a minimal definition to define myth, myth is a traditional tale that relates memorable and exemplary actions of extraordinary personages in prestigious and distant times. Any symbol F originates in a unit that has two aspects and functions when the unit is restored. Thus, the symbol is rather “for something” than “of something” and the symbolic objects express the objects' correspondence in one unit or hendiadys. One semantic characteristic of symbols is “recognition”. The symbol F reveals a reality by means of the homogenous association of the signifier and significance in the symbol's constitution; although reality is separate, there is a homogeneous relation between the symbolizing and symbolized in symbolization.Mythical systems: sign and symbol
José Luis Usó Doménech, Hugh Gash, Josué Antonio Nescolarde-Selva, Lorena Segura-Abad
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The process of elaboration of the symbolic universe leads to important insights into the role of symbols in understanding human reasoning. Symbols become explanatory axes of universal global realities. Myths were constructed on these explanatory paths forming a superstructure of all belief systems with paraconsistent logic for the symbolism and a symbolic syntax. Myths and symbols are to be found in all cultures. Some of the most powerful and influential ones occur in popular culture since these often have the greatest immediate social impact.

Semiotic and logical development of the symbols is in mythical systems. The dissolution of the myth and the degradation of the myth's symbols constitute a long-drawn-out process in modern Western society and wherever s influence reaches. Myth is a story that may contain symbolic elements, but compared to the symbols or images of the exceptional, myth is characterized by a “story.”

Starting from a minimal definition to define myths and propose the following definition: Myth is a traditional tale that relates memorable and exemplary actions of extraordinary personages in prestigious and distant times, and myths have various forms and functions, perhaps some more clearly defined with a signifier than others, and different approaches can be combined for a better understanding of the myths. Dispensing with such simplistic assertions, and starting from a minimal definition to define myth, myth is a traditional tale that relates memorable and exemplary actions of extraordinary personages in prestigious and distant times.

Any symbol F originates in a unit that has two aspects and functions when the unit is restored. Thus, the symbol is rather “for something” than “of something” and the symbolic objects express the objects' correspondence in one unit or hendiadys. One semantic characteristic of symbols is “recognition”. The symbol F reveals a reality by means of the homogenous association of the signifier and significance in the symbol's constitution; although reality is separate, there is a homogeneous relation between the symbolizing and symbolized in symbolization.

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Mythical systems: sign and symbol10.1108/K-01-2023-0140Kybernetes2023-05-16© 2023 Emerald Publishing LimitedJosé Luis Usó DoménechHugh GashJosué Antonio Nescolarde-SelvaLorena Segura-AbadKybernetesahead-of-printahead-of-print2023-05-1610.1108/K-01-2023-0140https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0140/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The impact of entrepreneurial cognitive styles and entrepreneurial orientation on innovation performance of organizations in northern Indiahttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0144/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study explores the relationship between entrepreneurial cognitive styles, entrepreneurial orientation (EO) and innovation performance (IP) of organizations in northern India. It also investigates how the cognitive styles of entrepreneurs impact their orientation and influence their innovative performance. A quantitative research design validates the proposed hypotheses. A survey was conducted using simple random and snowball sampling to gain responses from 150 entrepreneurs based in northern India. The structural relationships in the study were examined using ANOVA (Analysis of Variance) which is a statistical method used to assess whether there are significant differences in means amongst groups by comparing the variance. Data analysis revealed that entrepreneurial cognitive styles significantly and positively impact EO. The innovativeness and proactiveness dimensions of EO affect IP. Previous researchers have worked independently on cognitive style and EO. The present paper combines the impact of cognitive style and EO on IP to identify the missing links between the three constructs, which need to be added to the existing literature. The authors' findings are valuable for entrepreneurs seeking to identify the key factors contributing to developing effective strategies at the firm level, thereby driving IP. Furthermore, the authors' insights would assist potential entrepreneurs in distinguishing between the different cognitive characteristics that differentiate entrepreneurs from non-entrepreneurs and how they strategically decide based on market situations to enhance IP.The impact of entrepreneurial cognitive styles and entrepreneurial orientation on innovation performance of organizations in northern India
Sunakshi Gupta, Suchita Jha, Manisha Paliwal, Prinka Dogra
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study explores the relationship between entrepreneurial cognitive styles, entrepreneurial orientation (EO) and innovation performance (IP) of organizations in northern India. It also investigates how the cognitive styles of entrepreneurs impact their orientation and influence their innovative performance.

A quantitative research design validates the proposed hypotheses. A survey was conducted using simple random and snowball sampling to gain responses from 150 entrepreneurs based in northern India. The structural relationships in the study were examined using ANOVA (Analysis of Variance) which is a statistical method used to assess whether there are significant differences in means amongst groups by comparing the variance.

Data analysis revealed that entrepreneurial cognitive styles significantly and positively impact EO. The innovativeness and proactiveness dimensions of EO affect IP.

Previous researchers have worked independently on cognitive style and EO. The present paper combines the impact of cognitive style and EO on IP to identify the missing links between the three constructs, which need to be added to the existing literature. The authors' findings are valuable for entrepreneurs seeking to identify the key factors contributing to developing effective strategies at the firm level, thereby driving IP. Furthermore, the authors' insights would assist potential entrepreneurs in distinguishing between the different cognitive characteristics that differentiate entrepreneurs from non-entrepreneurs and how they strategically decide based on market situations to enhance IP.

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The impact of entrepreneurial cognitive styles and entrepreneurial orientation on innovation performance of organizations in northern India10.1108/K-01-2023-0144Kybernetes2023-09-07© 2023 Emerald Publishing LimitedSunakshi GuptaSuchita JhaManisha PaliwalPrinka DograKybernetesahead-of-printahead-of-print2023-09-0710.1108/K-01-2023-0144https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0144/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The role of personal and job resources for telework's affective and behavioral outcomeshttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0147/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestRecently new forms of telework emerged, such as the hybrid model; however, little is known about how and when it promotes performance. Based on the job demands-resources (JD-R) model, the authors developed a conceptual framework to demonstrate that the hybrid model of telework positively influences performance via positive affect. Furthermore, the authors identified both personal (emotional intelligence [EI]) and job resources (autonomy) as moderators of this relationship. To test the proposed model, the authors collected data from teleworkers who were in a hybrid telework regime from the telecommunications industry (N = 290). The results showed that (1) telework positively influenced positive affect and, in turn, performance and (2) the indirect effect of telework on performance through positive affect was moderated by both EI and autonomy. These results appear to be fundamental for a better conceptual and practical understanding of how and when hybrid telework can improve performance.The role of personal and job resources for telework's affective and behavioral outcomes
Ana Junça Silva, Carolina Violante, Sílvio Brito
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Recently new forms of telework emerged, such as the hybrid model; however, little is known about how and when it promotes performance. Based on the job demands-resources (JD-R) model, the authors developed a conceptual framework to demonstrate that the hybrid model of telework positively influences performance via positive affect. Furthermore, the authors identified both personal (emotional intelligence [EI]) and job resources (autonomy) as moderators of this relationship.

To test the proposed model, the authors collected data from teleworkers who were in a hybrid telework regime from the telecommunications industry (N = 290).

The results showed that (1) telework positively influenced positive affect and, in turn, performance and (2) the indirect effect of telework on performance through positive affect was moderated by both EI and autonomy.

These results appear to be fundamental for a better conceptual and practical understanding of how and when hybrid telework can improve performance.

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The role of personal and job resources for telework's affective and behavioral outcomes10.1108/K-01-2023-0147Kybernetes2023-06-09© 2023 Emerald Publishing LimitedAna Junça SilvaCarolina ViolanteSílvio BritoKybernetesahead-of-printahead-of-print2023-06-0910.1108/K-01-2023-0147https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0147/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Employee silence as a response to cronyism in the workplace: the roles of felt violation and continuance commitmenthttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0148/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe practice of cronyism is a pervasive problem for most businesses and a great hindrance for employees, but empirical literature on its outcomes is scant. In light of such gaps, the objective of this study is to examine the relationship between organizational cronyism and employees' silence behavior through the mediating role of felt violation and the moderating role of continuance commitment. A time-lagged cross-sectional survey comprising 226 respondents is carried out in a metropolitan city of a developing country (Lahore, Pakistan). The respondents were selected using the convenience sampling technique. The findings reveal that organizational cronyism influences employees' silence (acquiescent and quiescent) both directly and indirectly (via felt violation). However, continuance commitment was noted to work as a boundary condition only between felt violation and quiescent silence. Although the study deals with common method bias by collecting data in two waves, it may restrict causality. The findings not only have implications for the academicians, but also contribute to the conservation of resources theory. This study suggests organizations develop and implement a comprehensive intervention strategy that focuses on both prevention and damage control as a result of organizational cronyism. Drawing upon the conservation of resources theory, this study adds value to the literature by empirically investigating the outcomes of cronyism at work. Moreover, the outcomes and mechanisms under consideration have largely been ignored in the literature.Employee silence as a response to cronyism in the workplace: the roles of felt violation and continuance commitment
Talat Islam, Farheen Rizvi, Waqas Farooq, Ishfaq Ahmed
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The practice of cronyism is a pervasive problem for most businesses and a great hindrance for employees, but empirical literature on its outcomes is scant. In light of such gaps, the objective of this study is to examine the relationship between organizational cronyism and employees' silence behavior through the mediating role of felt violation and the moderating role of continuance commitment.

A time-lagged cross-sectional survey comprising 226 respondents is carried out in a metropolitan city of a developing country (Lahore, Pakistan). The respondents were selected using the convenience sampling technique.

The findings reveal that organizational cronyism influences employees' silence (acquiescent and quiescent) both directly and indirectly (via felt violation). However, continuance commitment was noted to work as a boundary condition only between felt violation and quiescent silence.

Although the study deals with common method bias by collecting data in two waves, it may restrict causality. The findings not only have implications for the academicians, but also contribute to the conservation of resources theory. This study suggests organizations develop and implement a comprehensive intervention strategy that focuses on both prevention and damage control as a result of organizational cronyism.

Drawing upon the conservation of resources theory, this study adds value to the literature by empirically investigating the outcomes of cronyism at work. Moreover, the outcomes and mechanisms under consideration have largely been ignored in the literature.

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Employee silence as a response to cronyism in the workplace: the roles of felt violation and continuance commitment10.1108/K-01-2023-0148Kybernetes2023-09-22© 2023 Emerald Publishing LimitedTalat IslamFarheen RizviWaqas FarooqIshfaq AhmedKybernetesahead-of-printahead-of-print2023-09-2210.1108/K-01-2023-0148https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0148/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Local business environment and firm innovation: evidence from Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0164/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to investigate the influence of the regional business environment on local firm innovation, considering various dimensions such as administrative, financial and legal environments. Multiple regression analysis is employed to analyze archival data for firms listed on Chinese stock markets. We find that the optimizations of the administrative and financial environments positively affect firm innovation, whereas the legal environment does not exert a similar impact. Our analysis also reveals that the business environment’s optimization significantly influences innovation in firms that are small, non-state-owned and operating in high-tech industries. Furthermore, the business environment acts as a moderating variable in the relationship between firm innovation and firm value. This study contributes to a more comprehensive understanding of institutional-level determinants of firm innovation, highlighting the nuances of the legal environment and the importance of context-specific analysis, especially in emerging markets like China. Developing countries can significantly enhance firm innovation by improving the business environment, including the optimization of administrative and financial systems, reducing transaction costs and ensuring capital supply. Tailored legal frameworks and alternative institutional strategies may also be explored. This study explicitly emphasizes the governmental role in promoting firm innovation, shedding light on policy formulation and strategic alignment with local administrative policies. To the best of our knowledge, this paper is the first to explore the relationship between the business environment and firm innovation using World Bank indicators in an emerging market context, providing novel insights into the unique dynamics of legal, financial and administrative sub-environments.Local business environment and firm innovation: evidence from China
Jiapeng Wu, Dayu Gao, Cheng Xu, Yanqi Sun
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to investigate the influence of the regional business environment on local firm innovation, considering various dimensions such as administrative, financial and legal environments.

Multiple regression analysis is employed to analyze archival data for firms listed on Chinese stock markets.

We find that the optimizations of the administrative and financial environments positively affect firm innovation, whereas the legal environment does not exert a similar impact. Our analysis also reveals that the business environment’s optimization significantly influences innovation in firms that are small, non-state-owned and operating in high-tech industries. Furthermore, the business environment acts as a moderating variable in the relationship between firm innovation and firm value.

This study contributes to a more comprehensive understanding of institutional-level determinants of firm innovation, highlighting the nuances of the legal environment and the importance of context-specific analysis, especially in emerging markets like China.

Developing countries can significantly enhance firm innovation by improving the business environment, including the optimization of administrative and financial systems, reducing transaction costs and ensuring capital supply. Tailored legal frameworks and alternative institutional strategies may also be explored.

This study explicitly emphasizes the governmental role in promoting firm innovation, shedding light on policy formulation and strategic alignment with local administrative policies.

To the best of our knowledge, this paper is the first to explore the relationship between the business environment and firm innovation using World Bank indicators in an emerging market context, providing novel insights into the unique dynamics of legal, financial and administrative sub-environments.

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Local business environment and firm innovation: evidence from China10.1108/K-01-2023-0164Kybernetes2024-02-09© 2024 Emerald Publishing LimitedJiapeng WuDayu GaoCheng XuYanqi SunKybernetesahead-of-printahead-of-print2024-02-0910.1108/K-01-2023-0164https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0164/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Exploring the impact of knowledge management capability on firm performance: the mediating role of business model innovationhttps://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0166/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestKnowledge management (KM) capability plays an important role in the promotion of firm performance in the knowledge economy era. However, empirical evidence on how KM capability affects firm performance is still limited. The study therefore aims to explore the impacts of internal and external KM capabilities on firm performance via the parallel mediation of efficiency-centered and novelty-centered business model innovations (BMIs). The authors empirically analyzed a survey data of 295 Chinese innovative enterprises by applying partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). According to the results of PLS-SEM, the relationship between internal KM capability and firm performance is not significant, instead it is fully mediated by efficiency-centered and novelty-centered BMIs. External KM capability can directly and positively affect firm performance, while the relationship is also partially mediated by BMIs. Furthermore, the authors recognized the antecedent conditions for high-level and low-level firm performance by fsQCA analysis, which substantiate the above findings. It not only enriches the literature that links KM and innovation management but also contributes to the new theoretical perspective on firm sustainable growth. Methodologically, it combines symmetric and asymmetric analyses together. Additionally, it provides some insights for managers to understand how KM capability drives firm performance through BMI.Exploring the impact of knowledge management capability on firm performance: the mediating role of business model innovation
Shuting Chen, Dengke Yu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Knowledge management (KM) capability plays an important role in the promotion of firm performance in the knowledge economy era. However, empirical evidence on how KM capability affects firm performance is still limited. The study therefore aims to explore the impacts of internal and external KM capabilities on firm performance via the parallel mediation of efficiency-centered and novelty-centered business model innovations (BMIs).

The authors empirically analyzed a survey data of 295 Chinese innovative enterprises by applying partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA).

According to the results of PLS-SEM, the relationship between internal KM capability and firm performance is not significant, instead it is fully mediated by efficiency-centered and novelty-centered BMIs. External KM capability can directly and positively affect firm performance, while the relationship is also partially mediated by BMIs. Furthermore, the authors recognized the antecedent conditions for high-level and low-level firm performance by fsQCA analysis, which substantiate the above findings.

It not only enriches the literature that links KM and innovation management but also contributes to the new theoretical perspective on firm sustainable growth. Methodologically, it combines symmetric and asymmetric analyses together. Additionally, it provides some insights for managers to understand how KM capability drives firm performance through BMI.

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Exploring the impact of knowledge management capability on firm performance: the mediating role of business model innovation10.1108/K-01-2023-0166Kybernetes2023-05-26© 2023 Emerald Publishing LimitedShuting ChenDengke YuKybernetesahead-of-printahead-of-print2023-05-2610.1108/K-01-2023-0166https://www.emerald.com/insight/content/doi/10.1108/K-01-2023-0166/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A study on site selection of wind power plant based on prospect theory and VIKOR: a case study in Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-01-2024-0022/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the continuous development of the wind power industry, wind power plant (WPP) has become the focus of resource development within the industry. Site selection, as the initial stage of WPP development, is directly related to the feasibility of construction and the future revenue of WPP. Therefore, the purpose of this paper is to study the siting of WPP and establish a framework for siting decision-making. Firstly, a site selection evaluation index system is constructed from four aspects of economy, geography, environment and society using the literature review method and the Delphi method, and the weights of each index are comprehensively determined by combining the Decision-making Trial and Evaluation Laboratory (DEMATEL) and the entropy weight method (EW). Then, prospect theory and the multi-criteria compromise solution ranking method (VIKOR) are introduced to rank the potential options and determine the best site. China is used as a case study, and the robustness and reliability of the methodology are demonstrated through sensitivity analysis, comparative analysis and ablation experiment analysis. This paper aims to provide a useful reference for WPP siting research. In this paper, DEMATEL and EW are used to determine the weights of indicators, which overcome the disadvantage of single assignment. Prospect theory and VIKOR are combined to construct a decision model, which also considers the attitude of the decision-maker and the compromise solution of the decision result. For the first time, this framework is applied to WPP siting research.A study on site selection of wind power plant based on prospect theory and VIKOR: a case study in China
Hui Zhao, Simeng Wang, Chen Lu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the continuous development of the wind power industry, wind power plant (WPP) has become the focus of resource development within the industry. Site selection, as the initial stage of WPP development, is directly related to the feasibility of construction and the future revenue of WPP. Therefore, the purpose of this paper is to study the siting of WPP and establish a framework for siting decision-making.

Firstly, a site selection evaluation index system is constructed from four aspects of economy, geography, environment and society using the literature review method and the Delphi method, and the weights of each index are comprehensively determined by combining the Decision-making Trial and Evaluation Laboratory (DEMATEL) and the entropy weight method (EW). Then, prospect theory and the multi-criteria compromise solution ranking method (VIKOR) are introduced to rank the potential options and determine the best site.

China is used as a case study, and the robustness and reliability of the methodology are demonstrated through sensitivity analysis, comparative analysis and ablation experiment analysis. This paper aims to provide a useful reference for WPP siting research.

In this paper, DEMATEL and EW are used to determine the weights of indicators, which overcome the disadvantage of single assignment. Prospect theory and VIKOR are combined to construct a decision model, which also considers the attitude of the decision-maker and the compromise solution of the decision result. For the first time, this framework is applied to WPP siting research.

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A study on site selection of wind power plant based on prospect theory and VIKOR: a case study in China10.1108/K-01-2024-0022Kybernetes2024-03-12© 2024 Emerald Publishing LimitedHui ZhaoSimeng WangChen LuKybernetesahead-of-printahead-of-print2024-03-1210.1108/K-01-2024-0022https://www.emerald.com/insight/content/doi/10.1108/K-01-2024-0022/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Optimization of purchasing business process in Moroccan public universities based on COBIT and artificial intelligence techniqueshttps://www.emerald.com/insight/content/doi/10.1108/K-02-2022-0167/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe main goal of this research work is the optimization of the purchasing business process in the Moroccan public sector in terms of transparency and budgetary optimization. The authors have worked on the public university as an implementation field. The design of the research work followed the design science research (DSR) methodology for information systems. DSR is a research paradigm wherein a designer answers questions relevant to human problems through the creation of innovative artifacts, thereby contributing new knowledge to the body of scientific evidence. The authors have adopted a techno-functional approach. The technical part consists of the development of an intelligent recommendation system that supports the choice of optimal information technology (IT) equipment for decision-makers. This intelligent recommendation system relies on a set of functional and business concepts, namely the Moroccan normative laws and Control Objectives for Information and Related Technology's (COBIT) guidelines in information system governance. The modeling of business processes in public universities is established using business process model and notation (BPMN) in accordance with official regulations. The set of BPMN models constitute a powerful repository not only for business process execution but also for further optimization. Governance generally aims to reduce budgetary wastes, and the authors' recommendation system demonstrates a technical and methodological approach enabling this feature. Implementation of artificial intelligence techniques can bring great value in terms of transparency and fluidity in purchasing business process execution. Business limitations: First, the proposed system was modeled to handle one type products, which are computer-related equipment. Hence, the authors intend to extend the model to other types of products in future works. Conversely, the system proposes optimal purchasing order and assumes that decision makers will rely on this optimal purchasing order to choose between offers. In fact, as a perspective, the authors plan to work on a complete automation of the workflow to also include vendor selection and offer validation. Technical limitations: Natural language processing (NLP) is a widely used sentiment analysis (SA) technique that enabled the authors to validate the proposed system. Even working on samples of datasets, the authors noticed NLP dependency on huge computing power. The authors intend to experiment with learning and knowledge-based SA and assess the' computing power consumption and accuracy of the analysis compared to NLP. Another technical limitation is related to the web scraping technique; in fact, the users' reviews are crucial for the authors' system. To guarantee timeliness and reliable reviews, the system has to look automatically in websites, which confront the authors with the limitations of the web scraping like the permanent changing of website structure and scraping restrictions. The modeling of business processes in public universities is established using BPMN in accordance with official regulations. The set of BPMN models constitute a powerful repository not only for business process execution but also for further optimization. Governance generally aims to reduce budgetary wastes, and the authors' recommendation system demonstrates a technical and methodological approach enabling this feature. The adopted techno-functional approach enabled the authors to bring information system governance from a highly abstract level to a practical implementation where the theoretical best practices and guidelines are transformed to a tangible application.Optimization of purchasing business process in Moroccan public universities based on COBIT and artificial intelligence techniques
Zakaria Sakyoud, Abdessadek Aaroud, Khalid Akodadi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The main goal of this research work is the optimization of the purchasing business process in the Moroccan public sector in terms of transparency and budgetary optimization. The authors have worked on the public university as an implementation field.

The design of the research work followed the design science research (DSR) methodology for information systems. DSR is a research paradigm wherein a designer answers questions relevant to human problems through the creation of innovative artifacts, thereby contributing new knowledge to the body of scientific evidence. The authors have adopted a techno-functional approach. The technical part consists of the development of an intelligent recommendation system that supports the choice of optimal information technology (IT) equipment for decision-makers. This intelligent recommendation system relies on a set of functional and business concepts, namely the Moroccan normative laws and Control Objectives for Information and Related Technology's (COBIT) guidelines in information system governance.

The modeling of business processes in public universities is established using business process model and notation (BPMN) in accordance with official regulations. The set of BPMN models constitute a powerful repository not only for business process execution but also for further optimization. Governance generally aims to reduce budgetary wastes, and the authors' recommendation system demonstrates a technical and methodological approach enabling this feature. Implementation of artificial intelligence techniques can bring great value in terms of transparency and fluidity in purchasing business process execution.

Business limitations: First, the proposed system was modeled to handle one type products, which are computer-related equipment. Hence, the authors intend to extend the model to other types of products in future works. Conversely, the system proposes optimal purchasing order and assumes that decision makers will rely on this optimal purchasing order to choose between offers. In fact, as a perspective, the authors plan to work on a complete automation of the workflow to also include vendor selection and offer validation. Technical limitations: Natural language processing (NLP) is a widely used sentiment analysis (SA) technique that enabled the authors to validate the proposed system. Even working on samples of datasets, the authors noticed NLP dependency on huge computing power. The authors intend to experiment with learning and knowledge-based SA and assess the' computing power consumption and accuracy of the analysis compared to NLP. Another technical limitation is related to the web scraping technique; in fact, the users' reviews are crucial for the authors' system. To guarantee timeliness and reliable reviews, the system has to look automatically in websites, which confront the authors with the limitations of the web scraping like the permanent changing of website structure and scraping restrictions.

The modeling of business processes in public universities is established using BPMN in accordance with official regulations. The set of BPMN models constitute a powerful repository not only for business process execution but also for further optimization. Governance generally aims to reduce budgetary wastes, and the authors' recommendation system demonstrates a technical and methodological approach enabling this feature.

The adopted techno-functional approach enabled the authors to bring information system governance from a highly abstract level to a practical implementation where the theoretical best practices and guidelines are transformed to a tangible application.

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Optimization of purchasing business process in Moroccan public universities based on COBIT and artificial intelligence techniques10.1108/K-02-2022-0167Kybernetes2023-02-20© 2023 Emerald Publishing LimitedZakaria SakyoudAbdessadek AaroudKhalid AkodadiKybernetesahead-of-printahead-of-print2023-02-2010.1108/K-02-2022-0167https://www.emerald.com/insight/content/doi/10.1108/K-02-2022-0167/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Online channel mode selection in a platform supply chain in the presence of consumer returnshttps://www.emerald.com/insight/content/doi/10.1108/K-02-2022-0219/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestMotivated by the real-world practice that the boom of the online selling induces a higher product return as well, selecting which online channel mode indicates who takes ownership over the product and thus bears the loss of the product return. This paper aims to seek the optimal online channel modes for the two members in a platform supply chain in the presence of product returns. This study aims to develop a platform supply chain that consists of one platform company and one supplier. Along with an offline distribution channel, the supplier can choose two alternative online selling modes (i.e. the reselling and agency modes) to sell its product through the online marketplace. This paper applies Stackelberg game to derive the equilibrium with different business scenarios and selects the optimal online channel modes for two parties, respectively. Moreover, this paper extends to a different supply chain with a reverse channel leadership and a different product return policy for testing the robustness. Several interesting and important results are derived in this paper. Firstly, it is found that the relative pricing are largely relied on the costs of two channels. Secondly, the platform supply chain may benefit from a pure channel rather than the dual-channel when this channel enjoys a relatively low cost and/or a sufficiently high consumer preference. Then, the platform and the supplier act contradictorily when selecting their optimal online channel modes. To be specific, the platform motivates to choose the online reselling mode when both the commission rate and the slotting fee are relatively low, whereas the supplier is likely to select the online agency mode under this circumstance. Finally, a win-win situation in regards to the optimal online channel mode for two parties is achievable with numerical experiments. Based on the analytical studies, the results derived in the authors’ work can provide managerial insights to assist the supplier and the platform company in determining the operational decision and selecting the optimal online channel mode to deal with consumer returns. In addition, appropriate commission rate along with slotting fee will make both parties achieve a win-win situation in determining their optimal online channel mode. To the authors’ best knowledge, this paper makes the first move to determine the optimal online channel mode in the content of consumer returns and study how it is affected by different product return policies.Online channel mode selection in a platform supply chain in the presence of consumer returns
Bing Yang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Motivated by the real-world practice that the boom of the online selling induces a higher product return as well, selecting which online channel mode indicates who takes ownership over the product and thus bears the loss of the product return. This paper aims to seek the optimal online channel modes for the two members in a platform supply chain in the presence of product returns.

This study aims to develop a platform supply chain that consists of one platform company and one supplier. Along with an offline distribution channel, the supplier can choose two alternative online selling modes (i.e. the reselling and agency modes) to sell its product through the online marketplace. This paper applies Stackelberg game to derive the equilibrium with different business scenarios and selects the optimal online channel modes for two parties, respectively. Moreover, this paper extends to a different supply chain with a reverse channel leadership and a different product return policy for testing the robustness.

Several interesting and important results are derived in this paper. Firstly, it is found that the relative pricing are largely relied on the costs of two channels. Secondly, the platform supply chain may benefit from a pure channel rather than the dual-channel when this channel enjoys a relatively low cost and/or a sufficiently high consumer preference. Then, the platform and the supplier act contradictorily when selecting their optimal online channel modes. To be specific, the platform motivates to choose the online reselling mode when both the commission rate and the slotting fee are relatively low, whereas the supplier is likely to select the online agency mode under this circumstance. Finally, a win-win situation in regards to the optimal online channel mode for two parties is achievable with numerical experiments.

Based on the analytical studies, the results derived in the authors’ work can provide managerial insights to assist the supplier and the platform company in determining the operational decision and selecting the optimal online channel mode to deal with consumer returns. In addition, appropriate commission rate along with slotting fee will make both parties achieve a win-win situation in determining their optimal online channel mode.

To the authors’ best knowledge, this paper makes the first move to determine the optimal online channel mode in the content of consumer returns and study how it is affected by different product return policies.

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Online channel mode selection in a platform supply chain in the presence of consumer returns10.1108/K-02-2022-0219Kybernetes2023-02-15© 2023 Emerald Publishing LimitedBing YangKybernetesahead-of-printahead-of-print2023-02-1510.1108/K-02-2022-0219https://www.emerald.com/insight/content/doi/10.1108/K-02-2022-0219/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Government subsidies and corporate environmental investments: a resource-based perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-02-2022-0238/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to analyze the mechanism of the role of government subsidies on corporate environmental investment and explore how specific characteristics of firms affect corporate environmental responsibility. This paper examines the relationship between government subsidies and corporate environmental investment and models with a sample of 78,854 industries. The authors measure the corporate environmental investment by the natural logarithm of the volume of waste gas treatment facilities. The results show the positive effect of government subsidies on corporate environmental investment. In addition, state ownership positively regulates the relationship between government and corporations, but the relationship between them is negatively regulated by the slack resources. When people are increasingly concerned about corporate social and environmental responsibility, clarifying the link between government subsidies and corporate environmental investments can help policymakers formulate policies and allocate limited resources. This study uses the resource-based view as a theoretical framework to reveal the mechanism of action between government subsidies and corporate environmental responsibility, enriching the previous literature that explores the issue based on the legitimacy perspective.Government subsidies and corporate environmental investments: a resource-based perspective
Longyue Ding, Yingbo Xu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to analyze the mechanism of the role of government subsidies on corporate environmental investment and explore how specific characteristics of firms affect corporate environmental responsibility.

This paper examines the relationship between government subsidies and corporate environmental investment and models with a sample of 78,854 industries. The authors measure the corporate environmental investment by the natural logarithm of the volume of waste gas treatment facilities.

The results show the positive effect of government subsidies on corporate environmental investment. In addition, state ownership positively regulates the relationship between government and corporations, but the relationship between them is negatively regulated by the slack resources.

When people are increasingly concerned about corporate social and environmental responsibility, clarifying the link between government subsidies and corporate environmental investments can help policymakers formulate policies and allocate limited resources.

This study uses the resource-based view as a theoretical framework to reveal the mechanism of action between government subsidies and corporate environmental responsibility, enriching the previous literature that explores the issue based on the legitimacy perspective.

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Government subsidies and corporate environmental investments: a resource-based perspective10.1108/K-02-2022-0238Kybernetes2022-09-27© 2022 Emerald Publishing LimitedLongyue DingYingbo XuKybernetesahead-of-printahead-of-print2022-09-2710.1108/K-02-2022-0238https://www.emerald.com/insight/content/doi/10.1108/K-02-2022-0238/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Career development in the hospitality sector: an exploratory study from Pakistanhttps://www.emerald.com/insight/content/doi/10.1108/K-02-2022-0245/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis qualitative study deals with the career longevity phenomenon in the hospitality sector of Pakistan and aimed at exploring the factors which become the reason for continuing services in this sector for a longer period despite the prevailing perception of the short-term and unsatisfactory hospitality careers. The study has taken up an interpretive social constructivism approach to carry out the research. The purposive sampling technique is used to solicit expert insights into the dynamics of the hospitality career. A thematic analysis was employed to identify the common themes, extract the meaning from the discussion patterns of the respondents, and outline viewpoints and ideas of the respondents. The findings of the study are discussed at three levels of career, i.e. entry level, development level, and consolidation level. Long careers in the hospitality sector are a product of dedication and commitment to the job, professionalism, variety, complexity of the job, and healthy relationship with coworkers, supervisors, and guests. The study links the belief of belonging and socialization attributes to the retention of employees in the hospitality sector jobs. Secondly, the study uses a qualitative approach to provide a diverse perspective of employee–industry loyalty rather than employee–organization loyalty. Thirdly, the study brings forth practical implications for personnel managers in the hospitality sector and proposes that the management should systematically stimulate the socialization of the workers to hold the talent despite providing workers with the opportunity to join another sector. Finally, the study informs about research limitations and directions for future research.Career development in the hospitality sector: an exploratory study from Pakistan
Muhammad Hamid Murtza, Hafiz Muhammad Usman Khizar, Shahzad Ali Gill, Syed Muhammad Javed Iqbal, Saba Javaid
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This qualitative study deals with the career longevity phenomenon in the hospitality sector of Pakistan and aimed at exploring the factors which become the reason for continuing services in this sector for a longer period despite the prevailing perception of the short-term and unsatisfactory hospitality careers.

The study has taken up an interpretive social constructivism approach to carry out the research. The purposive sampling technique is used to solicit expert insights into the dynamics of the hospitality career. A thematic analysis was employed to identify the common themes, extract the meaning from the discussion patterns of the respondents, and outline viewpoints and ideas of the respondents.

The findings of the study are discussed at three levels of career, i.e. entry level, development level, and consolidation level. Long careers in the hospitality sector are a product of dedication and commitment to the job, professionalism, variety, complexity of the job, and healthy relationship with coworkers, supervisors, and guests.

The study links the belief of belonging and socialization attributes to the retention of employees in the hospitality sector jobs. Secondly, the study uses a qualitative approach to provide a diverse perspective of employee–industry loyalty rather than employee–organization loyalty. Thirdly, the study brings forth practical implications for personnel managers in the hospitality sector and proposes that the management should systematically stimulate the socialization of the workers to hold the talent despite providing workers with the opportunity to join another sector. Finally, the study informs about research limitations and directions for future research.

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Career development in the hospitality sector: an exploratory study from Pakistan10.1108/K-02-2022-0245Kybernetes2022-09-14© 2022 Emerald Publishing LimitedMuhammad Hamid MurtzaHafiz Muhammad Usman KhizarShahzad Ali GillSyed Muhammad Javed IqbalSaba JavaidKybernetesahead-of-printahead-of-print2022-09-1410.1108/K-02-2022-0245https://www.emerald.com/insight/content/doi/10.1108/K-02-2022-0245/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
An interactive possibilistic programming approach for sustainable supplier selection and inventory management problem in the physical internethttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0174/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to introduce a novel structure for the physical internet (PI)–enabled sustainable supplier selection and inventory management problem under uncertain environments. To address hybrid uncertainty both in the objective function and constraints, a novel interactive hybrid multi-objective optimization solution approach combining Me-based fuzzy possibilistic programming and interval programming approaches is tailored. Various numerical experiments are introduced to validate the feasibility of the established model and the proposed solution method. Due to its interconnectedness, the PI has the opportunity to support firms in addressing sustainability challenges and reducing initial impact. The sustainable supplier selection and inventory management have become critical operational challenges in PI-enabled supply chain problems. This is the first attempt on this issue, which uses the presented novel interactive possibilistic programming method.An interactive possibilistic programming approach for sustainable supplier selection and inventory management problem in the physical internet
Pengyun Zhao, Shoufeng Ji, Yuanyuan Ji
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to introduce a novel structure for the physical internet (PI)–enabled sustainable supplier selection and inventory management problem under uncertain environments.

To address hybrid uncertainty both in the objective function and constraints, a novel interactive hybrid multi-objective optimization solution approach combining Me-based fuzzy possibilistic programming and interval programming approaches is tailored.

Various numerical experiments are introduced to validate the feasibility of the established model and the proposed solution method.

Due to its interconnectedness, the PI has the opportunity to support firms in addressing sustainability challenges and reducing initial impact. The sustainable supplier selection and inventory management have become critical operational challenges in PI-enabled supply chain problems. This is the first attempt on this issue, which uses the presented novel interactive possibilistic programming method.

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An interactive possibilistic programming approach for sustainable supplier selection and inventory management problem in the physical internet10.1108/K-02-2023-0174Kybernetes2024-01-12© 2023 Emerald Publishing LimitedPengyun ZhaoShoufeng JiYuanyuan JiKybernetesahead-of-printahead-of-print2024-01-1210.1108/K-02-2023-0174https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0174/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
An integrated framework of digital content marketing implementation: an exploration of antecedents, processes, and consequenceshttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0178/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDue to the high penetration of social media and mobile devices in the recent decade, especially with the coronavirus, digital media tools have become a priority for marketing managers. Digital content marketing (DCM) is one of the crucial ingredients of the digital marketing strategy of businesses, which proposes value to the audience through brand-related and relevant content. The tourism industry is also trapped in the digital wave and has witnessed fundamental changes in how customers communicate. The growth of investment in DCM in this industry to introduce tourist attractions and acquire tourists calls for more research to explore multiple aspects of these initiatives' implementation. Despite the importance of DCM, there is no clear understanding of its implementation's various components. Therefore, the primary goal of the current study is to design a new comprehensive framework of DCM implementation that integrates its antecedents, process, and consequences in the tourism industry. The mixed method was applied to achieve the research goal. The initial criteria and main components of the framework were identified with a comprehensive literature review to develop the framework. To enrich the initial criteria, some semi-structured interviews with experts were conducted; then, the extracted criteria and sub-criteria were prioritized and weighted using the quantitative best-worst method (BWM). The results indicate that the proposed integrated framework contains three categories of antecedents, processes, and consequences and 12 main concepts. The weights and ranks of the extracted concepts and their sub-criteria are calculated using BWM. The proposed framework helps managers have a big picture of the DCM strategy to successfully implement and consider the multiple dimensions of such initiatives. The proposed framework provides actionable insight for digital marketing decision-makers to manage such projects effectively and plan appropriate actions for progress. A review of content marketing reveals that there are few studies conducted that integrate the components of the DCM implementation process, including antecedents, process, and consequences. This research is one of the first in the field of DCM implementation in the tourism industry to fill this theoretical gap. The main contribution of this research is to design a new integrated framework for DCM implementation that offers a holistic view of antecedents, process, and consequences.An integrated framework of digital content marketing implementation: an exploration of antecedents, processes, and consequences
Mona Jami Pour, Zahra Karimi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Due to the high penetration of social media and mobile devices in the recent decade, especially with the coronavirus, digital media tools have become a priority for marketing managers. Digital content marketing (DCM) is one of the crucial ingredients of the digital marketing strategy of businesses, which proposes value to the audience through brand-related and relevant content. The tourism industry is also trapped in the digital wave and has witnessed fundamental changes in how customers communicate. The growth of investment in DCM in this industry to introduce tourist attractions and acquire tourists calls for more research to explore multiple aspects of these initiatives' implementation. Despite the importance of DCM, there is no clear understanding of its implementation's various components. Therefore, the primary goal of the current study is to design a new comprehensive framework of DCM implementation that integrates its antecedents, process, and consequences in the tourism industry.

The mixed method was applied to achieve the research goal. The initial criteria and main components of the framework were identified with a comprehensive literature review to develop the framework. To enrich the initial criteria, some semi-structured interviews with experts were conducted; then, the extracted criteria and sub-criteria were prioritized and weighted using the quantitative best-worst method (BWM).

The results indicate that the proposed integrated framework contains three categories of antecedents, processes, and consequences and 12 main concepts. The weights and ranks of the extracted concepts and their sub-criteria are calculated using BWM.

The proposed framework helps managers have a big picture of the DCM strategy to successfully implement and consider the multiple dimensions of such initiatives. The proposed framework provides actionable insight for digital marketing decision-makers to manage such projects effectively and plan appropriate actions for progress.

A review of content marketing reveals that there are few studies conducted that integrate the components of the DCM implementation process, including antecedents, process, and consequences. This research is one of the first in the field of DCM implementation in the tourism industry to fill this theoretical gap. The main contribution of this research is to design a new integrated framework for DCM implementation that offers a holistic view of antecedents, process, and consequences.

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An integrated framework of digital content marketing implementation: an exploration of antecedents, processes, and consequences10.1108/K-02-2023-0178Kybernetes2023-07-17© 2023 Emerald Publishing LimitedMona Jami PourZahra KarimiKybernetesahead-of-printahead-of-print2023-07-1710.1108/K-02-2023-0178https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0178/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Quality management practices and inventory management process: the contingency and institutional approachhttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0180/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWhereas the majority of research explores the direct relationship between quality management practices and firm operational performance using data on developed economies, this paper asserts that the effect of quality management practices on firm operational performance needs to be evaluated with reference to the contingency approach, especially in developing countries. Therefore, the authors empirically test whether competitive intensity moderates the relationship between quality management practices and inventory management process. The authors employ a fixed-effect model on data from more than 7,000 observations operating in 27 Eastern and Central European countries. The findings reveal that the adoption of quality management practices decreases inventory days only in a highly competitive market. Additionally, the results indicate that this effect is changing when distinguishing between countries and sectors. This study advances research on quality management practices by emphasizing the importance of contingency and institutional approach.Quality management practices and inventory management process: the contingency and institutional approach
Sanja Pekovic
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Whereas the majority of research explores the direct relationship between quality management practices and firm operational performance using data on developed economies, this paper asserts that the effect of quality management practices on firm operational performance needs to be evaluated with reference to the contingency approach, especially in developing countries. Therefore, the authors empirically test whether competitive intensity moderates the relationship between quality management practices and inventory management process.

The authors employ a fixed-effect model on data from more than 7,000 observations operating in 27 Eastern and Central European countries.

The findings reveal that the adoption of quality management practices decreases inventory days only in a highly competitive market. Additionally, the results indicate that this effect is changing when distinguishing between countries and sectors.

This study advances research on quality management practices by emphasizing the importance of contingency and institutional approach.

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Quality management practices and inventory management process: the contingency and institutional approach10.1108/K-02-2023-0180Kybernetes2023-08-30© 2023 Emerald Publishing LimitedSanja PekovicKybernetesahead-of-printahead-of-print2023-08-3010.1108/K-02-2023-0180https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0180/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Effects of cross-border E-commerce customs declaration ceiling increase on export performance under COVID-19 conditionshttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0182/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study examines the impact of raising the ceiling value of Electronic Commerce Custom Declarations (ECCD) on Turkey's export performance processed via ECCD during the COVID-19 period. This paper examines the impact of the pandemic conditions on Cross-Border Electronic Commerce (ECCD) exports from Turkey to 47 countries over 42 months before and during the pandemic. An empirical analysis using the Pooled Mean Group (PMG) and Mean Group (MG), Panel Autoregressive Distributed Lag (ARDL) approach was conducted to identify the factors affecting export flows. The findings suggest that raising the ceiling of the ECCD trade is a vital factor in increasing exports. and this result is robust after controlling for pandemic conditions. On the other hand, although the COVID-19 shock mitigates the export volume of ECCD in the short run, it changes by reversal and increases the export level in the long run. Additionally, the number of COVID-19 cases and deaths in Turkey have a significant and negative impact on export flows in the short run, while they have a positive and significant effect in the long run. The results of this study have practical implications for policymakers, emphasizing the potential and significance of Cross-Border E-Commerce (CBEC) trade. The study is a pioneering effort in the literature of CBEC to explore how changes in the upper limit on customs declarations can affect export flows, taking into account the impact of the COVID-19 pandemic.Effects of cross-border E-commerce customs declaration ceiling increase on export performance under COVID-19 conditions
Caglayan Aslan, Omer Faruk Derindag, Salih Parmaksiz
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study examines the impact of raising the ceiling value of Electronic Commerce Custom Declarations (ECCD) on Turkey's export performance processed via ECCD during the COVID-19 period.

This paper examines the impact of the pandemic conditions on Cross-Border Electronic Commerce (ECCD) exports from Turkey to 47 countries over 42 months before and during the pandemic. An empirical analysis using the Pooled Mean Group (PMG) and Mean Group (MG), Panel Autoregressive Distributed Lag (ARDL) approach was conducted to identify the factors affecting export flows.

The findings suggest that raising the ceiling of the ECCD trade is a vital factor in increasing exports. and this result is robust after controlling for pandemic conditions. On the other hand, although the COVID-19 shock mitigates the export volume of ECCD in the short run, it changes by reversal and increases the export level in the long run. Additionally, the number of COVID-19 cases and deaths in Turkey have a significant and negative impact on export flows in the short run, while they have a positive and significant effect in the long run.

The results of this study have practical implications for policymakers, emphasizing the potential and significance of Cross-Border E-Commerce (CBEC) trade.

The study is a pioneering effort in the literature of CBEC to explore how changes in the upper limit on customs declarations can affect export flows, taking into account the impact of the COVID-19 pandemic.

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Effects of cross-border E-commerce customs declaration ceiling increase on export performance under COVID-19 conditions10.1108/K-02-2023-0182Kybernetes2023-05-10© 2023 Emerald Publishing LimitedCaglayan AslanOmer Faruk DerindagSalih ParmaksizKybernetesahead-of-printahead-of-print2023-05-1010.1108/K-02-2023-0182https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0182/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring lead users' continued participation intention in crowdsourcing innovation community in China: the effects of network externalitieshttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0190/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestLead users are essential participants in crowdsourcing innovation events; their continuance intention significantly affects the success of the crowdsourcing innovation community (CIC). Although researchers have acknowledged the influences of network externalities on users' sustained participation in general information systems, limited work has been conducted to probe these relationships in the CIC context; particularly, the predictors of lead users' continued usage intention in such context are still unclear. Hence, this paper aims to explore the precursors of lead users' continuance intention from a network externalities perspective in CIC. This work ranked users' leading-edge status to recognize lead users in the CIC. And then, the authors proposed a research model based on the network externalities theory, which was examined utilizing the partial least squares (PLS) technique. The research data were collected from an online survey of lead users (n = 229) of a CIC hosted by a China handset manufacturer. Results revealed that the number of peers, perceived complementarity and perceived compatibility significantly influence lead users' continuance intention through identification and perceived usefulness. This work contributes to the crowdsourcing innovation research and provides views regarding how lead users' sustained participation can be developed in the CICs. This work also offers an alternative theoretical framework for further research on users' continued intention in open innovation activities.Exploring lead users' continued participation intention in crowdsourcing innovation community in China: the effects of network externalities
Ruoyu Liang, Zi Ye, Jing Zhang, Wenbin Du
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Lead users are essential participants in crowdsourcing innovation events; their continuance intention significantly affects the success of the crowdsourcing innovation community (CIC). Although researchers have acknowledged the influences of network externalities on users' sustained participation in general information systems, limited work has been conducted to probe these relationships in the CIC context; particularly, the predictors of lead users' continued usage intention in such context are still unclear. Hence, this paper aims to explore the precursors of lead users' continuance intention from a network externalities perspective in CIC.

This work ranked users' leading-edge status to recognize lead users in the CIC. And then, the authors proposed a research model based on the network externalities theory, which was examined utilizing the partial least squares (PLS) technique. The research data were collected from an online survey of lead users (n = 229) of a CIC hosted by a China handset manufacturer.

Results revealed that the number of peers, perceived complementarity and perceived compatibility significantly influence lead users' continuance intention through identification and perceived usefulness.

This work contributes to the crowdsourcing innovation research and provides views regarding how lead users' sustained participation can be developed in the CICs. This work also offers an alternative theoretical framework for further research on users' continued intention in open innovation activities.

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Exploring lead users' continued participation intention in crowdsourcing innovation community in China: the effects of network externalities10.1108/K-02-2023-0190Kybernetes2023-07-12© 2023 Emerald Publishing LimitedRuoyu LiangZi YeJing ZhangWenbin DuKybernetesahead-of-printahead-of-print2023-07-1210.1108/K-02-2023-0190https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0190/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Sustainable investment initiatives and the performance of stakeholders involved in multinational technology companies' supply chains: linear or nonlinear effects?https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0195/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to examine how environmental, social and governance (ESG) initiatives and ISO 14001, which is an internationally agreed standard to set out the requirements for an environmental management system, affect firm performance in the context of the Industry 4.0 supply chain. The authors develop a new chance-constrained network data envelopment analysis (DEA) in the presence of non-positive data to estimate innovation, operational and profitability performances for three main relation groups (suppliers, partners and customers) in Microsoft's supply chain. Results of this study show the following: (1) the application of ISO 14001 will reduce profitability but increase overall performance (OP); (2) ESG implementation has a convex U-shaped influence on profitability and OP, which means that firms will benefit when ESG investment goes beyond a particular level; (3) the nonlinear U-shape is presented in the E and G components, but not in the S of the individual ESG initiatives, and (4) only specific subcomponents of S and G in the subcomponent of individual ESG initiatives are nonlinearly connected to OP. Research's results reveal that the customer group has a higher performance value than the other two groups, which suggests that this group will create competitive advantages for Microsoft. Overall, the authors provide an insightful viewpoint into supply chain management by examining the ESG initiatives, ISO 14001 and performances of Microsoft's supply chain.Sustainable investment initiatives and the performance of stakeholders involved in multinational technology companies' supply chains: linear or nonlinear effects?
Thu Huong Tran, Wen-Min Lu, Qian Long Kweh
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to examine how environmental, social and governance (ESG) initiatives and ISO 14001, which is an internationally agreed standard to set out the requirements for an environmental management system, affect firm performance in the context of the Industry 4.0 supply chain.

The authors develop a new chance-constrained network data envelopment analysis (DEA) in the presence of non-positive data to estimate innovation, operational and profitability performances for three main relation groups (suppliers, partners and customers) in Microsoft's supply chain.

Results of this study show the following: (1) the application of ISO 14001 will reduce profitability but increase overall performance (OP); (2) ESG implementation has a convex U-shaped influence on profitability and OP, which means that firms will benefit when ESG investment goes beyond a particular level; (3) the nonlinear U-shape is presented in the E and G components, but not in the S of the individual ESG initiatives, and (4) only specific subcomponents of S and G in the subcomponent of individual ESG initiatives are nonlinearly connected to OP. Research's results reveal that the customer group has a higher performance value than the other two groups, which suggests that this group will create competitive advantages for Microsoft.

Overall, the authors provide an insightful viewpoint into supply chain management by examining the ESG initiatives, ISO 14001 and performances of Microsoft's supply chain.

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Sustainable investment initiatives and the performance of stakeholders involved in multinational technology companies' supply chains: linear or nonlinear effects?10.1108/K-02-2023-0195Kybernetes2023-06-13© 2023 Emerald Publishing LimitedThu Huong TranWen-Min LuQian Long KwehKybernetesahead-of-printahead-of-print2023-06-1310.1108/K-02-2023-0195https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0195/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Asymmetric effect of renewable and non-renewable energy consumptions on corporate cash holdings: new panel data evidence from BRICS economieshttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0216/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the recent wake of environmental sustainability, more attention has been paid to the consumption of specific energy types. However, how the consumption of such energy alternatives influences multiple corporate-level decisions has not yet been well explored in the literature. The current analysis bridges this deficiency in literature by exploring the empirical relationship between energy alternatives and cash holdings. For empirical analysis, the authors sample the non-financial sector enterprises founded in five BRICS economies and employ the system GMM and fully modified ordinary least square techniques to establish the regression. The selection of econometric techniques is subject to the existence of endogeneity and cointegration. The estimated coefficients reveal a significant negative effect of renewable energy (REC) while a significant positive impact of non-renewable energy consumption (FFE) on cash holdings. Referring to low pollution emissions, less operational risk and a cheap source of energy, the more consumption of renewable energy reduces the motives of cash holdings. Primarily, the current analysis advocates an important policy regarding the utilization of renewable energy as industrial fuel inputs because it has a material impact on cash holdings and also ensures environmental sustainability. This study has equal policy outputs for industry officials, policy regulators and environmental economists. Corporate managers should do more focus on transforming the energy needs from non-renewable to renewable as such transformation can benefit in terms of both, i.e. environmental sustainability and low cash holdings. Contemporary literature mainly highlights the determinants of energy consumption. However, it is less known how the consumption of specific energy sources affects the firm's cash-holding decisions. Thus, this study enriches both energy economics and financial economics literature by offering cutting-edge evidence on the sustainable role of REC in declining cash holdings.Asymmetric effect of renewable and non-renewable energy consumptions on corporate cash holdings: new panel data evidence from BRICS economies
Umar Farooq, Yi Yang, Henglang Xie
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the recent wake of environmental sustainability, more attention has been paid to the consumption of specific energy types. However, how the consumption of such energy alternatives influences multiple corporate-level decisions has not yet been well explored in the literature. The current analysis bridges this deficiency in literature by exploring the empirical relationship between energy alternatives and cash holdings.

For empirical analysis, the authors sample the non-financial sector enterprises founded in five BRICS economies and employ the system GMM and fully modified ordinary least square techniques to establish the regression. The selection of econometric techniques is subject to the existence of endogeneity and cointegration.

The estimated coefficients reveal a significant negative effect of renewable energy (REC) while a significant positive impact of non-renewable energy consumption (FFE) on cash holdings. Referring to low pollution emissions, less operational risk and a cheap source of energy, the more consumption of renewable energy reduces the motives of cash holdings. Primarily, the current analysis advocates an important policy regarding the utilization of renewable energy as industrial fuel inputs because it has a material impact on cash holdings and also ensures environmental sustainability.

This study has equal policy outputs for industry officials, policy regulators and environmental economists. Corporate managers should do more focus on transforming the energy needs from non-renewable to renewable as such transformation can benefit in terms of both, i.e. environmental sustainability and low cash holdings.

Contemporary literature mainly highlights the determinants of energy consumption. However, it is less known how the consumption of specific energy sources affects the firm's cash-holding decisions. Thus, this study enriches both energy economics and financial economics literature by offering cutting-edge evidence on the sustainable role of REC in declining cash holdings.

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Asymmetric effect of renewable and non-renewable energy consumptions on corporate cash holdings: new panel data evidence from BRICS economies10.1108/K-02-2023-0216Kybernetes2023-08-07© 2023 Emerald Publishing LimitedUmar FarooqYi YangHenglang XieKybernetesahead-of-printahead-of-print2023-08-0710.1108/K-02-2023-0216https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0216/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Progress in network orchestration research and future prospects: a bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0221/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestNetwork orchestration has received widespread attention from scholars engaged in network-relationship governance research. This study aims to explore progress in network orchestration research and future prospects. In this study, 105 articles related to network orchestration from the Web of Science Core Collection Database for the period 2006–2022 are collected as sample data, and bibliometric relationship maps of network orchestration research are visually presented using the CiteSpace software. First, this study presents distributions of articles, methods, journals, authors, institutions and countries/regions in network orchestration research. Second, based on a reference co-citation analysis, three articles are identified as the key literature in network orchestration research. Based on a keyword co-occurrence analysis, the hotspots are found to include studies related to overall network and individual levels. A cluster analysis reveals six themes: innovation ecosystem, sustainable development, product development, sourcing, hub firm and innovation network. From a burst detection analysis, three frontiers emerge: organisation, collaboration and governance. Finally, some future research directions are proposed and important issues are raised. This study is the first to reveal the progress of network orchestration research using quantitative bibliometric methods, and it provides insights to scholars and offers practitioners with a better understanding of network orchestration.Progress in network orchestration research and future prospects: a bibliometric analysis
Xiaorui Wang, Di He
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Network orchestration has received widespread attention from scholars engaged in network-relationship governance research. This study aims to explore progress in network orchestration research and future prospects.

In this study, 105 articles related to network orchestration from the Web of Science Core Collection Database for the period 2006–2022 are collected as sample data, and bibliometric relationship maps of network orchestration research are visually presented using the CiteSpace software.

First, this study presents distributions of articles, methods, journals, authors, institutions and countries/regions in network orchestration research. Second, based on a reference co-citation analysis, three articles are identified as the key literature in network orchestration research. Based on a keyword co-occurrence analysis, the hotspots are found to include studies related to overall network and individual levels. A cluster analysis reveals six themes: innovation ecosystem, sustainable development, product development, sourcing, hub firm and innovation network. From a burst detection analysis, three frontiers emerge: organisation, collaboration and governance. Finally, some future research directions are proposed and important issues are raised.

This study is the first to reveal the progress of network orchestration research using quantitative bibliometric methods, and it provides insights to scholars and offers practitioners with a better understanding of network orchestration.

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Progress in network orchestration research and future prospects: a bibliometric analysis10.1108/K-02-2023-0221Kybernetes2023-08-24© 2023 Emerald Publishing LimitedXiaorui WangDi HeKybernetesahead-of-printahead-of-print2023-08-2410.1108/K-02-2023-0221https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0221/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Eco-innovation in the textile industry: the strategic importance of data privacy and environmental knowledge managementhttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0222/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate the impact of the ethical management of data privacy on the overall reputation of businesses. A conceptual model was proposed and tested. Data were collected from 208 small and medium-sized enterprises (SMEs) in the textile industry in Valencia, Spain using a survey instrument. Partial least squares (PLS) allowed for the analysis of the data collected. The theoretical model explains 46.1% of the variation in the organisational reputation variable. The findings indicate that ethical data privacy has a beneficial effect on an organisation's reputation and eco-innovation. The findings also demonstrate how eco-innovation drives the development of new knowledge and green skills that, in turn, communicate to stakeholders a company's ethical commitment. These results should encourage SMEs to invest in data privacy in order to meet the needs of the SMEs' increasingly technology- and environment-sensitive stakeholders and to improve their reputation. This study provides the first empirical evidence that ethical data privacy management has a positive impact on the reputation of firms. Furthermore, the originality of the research derives from the analysis of the results from an environmental perspective. Indeed, this study shows that effective data privacy management can indirectly support organisational reputation through eco-innovation and green skills.Eco-innovation in the textile industry: the strategic importance of data privacy and environmental knowledge management
Laura Di Chiacchio, Eva Martínez-Caro, Juan Gabriel Cegarra-Navarro, Alexeis Garcia-Perez
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to investigate the impact of the ethical management of data privacy on the overall reputation of businesses.

A conceptual model was proposed and tested. Data were collected from 208 small and medium-sized enterprises (SMEs) in the textile industry in Valencia, Spain using a survey instrument. Partial least squares (PLS) allowed for the analysis of the data collected.

The theoretical model explains 46.1% of the variation in the organisational reputation variable. The findings indicate that ethical data privacy has a beneficial effect on an organisation's reputation and eco-innovation. The findings also demonstrate how eco-innovation drives the development of new knowledge and green skills that, in turn, communicate to stakeholders a company's ethical commitment. These results should encourage SMEs to invest in data privacy in order to meet the needs of the SMEs' increasingly technology- and environment-sensitive stakeholders and to improve their reputation.

This study provides the first empirical evidence that ethical data privacy management has a positive impact on the reputation of firms. Furthermore, the originality of the research derives from the analysis of the results from an environmental perspective. Indeed, this study shows that effective data privacy management can indirectly support organisational reputation through eco-innovation and green skills.

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Eco-innovation in the textile industry: the strategic importance of data privacy and environmental knowledge management10.1108/K-02-2023-0222Kybernetes2023-05-19© 2023 Emerald Publishing LimitedLaura Di ChiacchioEva Martínez-CaroJuan Gabriel Cegarra-NavarroAlexeis Garcia-PerezKybernetesahead-of-printahead-of-print2023-05-1910.1108/K-02-2023-0222https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0222/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Optimal financing strategy and contract design of supply chain with yield uncertainty under cap-and-trade regulationhttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0226/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the study is to investigate the financing channels and carbon emission abatement preferences of supply chain members, and further examine the optimal contract design of the retailer. This paper develops a low-carbon supply chain composed of one retailer and one manufacturer, in which the retailer provides trade credit to the manufacturer. Considering the cap-and-trade regulation, the manufacturer with uncertain yield makes decision on whether to invest in emission abatement. There are bank loan and trade credit to finance production for the manufacturer and green credit to finance emission abatement investment. Meanwhile, the retailer may provide the manufacturer with three kinds of contracts to improve emission abatement efficiency, namely, revenue sharing, cost sharing or both sharing. The results show that the retailer prefers to offer financing service at lower interest rate, but trade (and green) credit financing is always optimal for manufacturer and supply chain. The investment in emission abatement is value-added to all players. The sharing contracts offered by the retailer at lower sharing ratios can realize Pareto improvement of the system regardless of the financing scheme. However, comparing with the revenue or cost sharing contract, the existence of optimal sharing ratios makes the both sharing contract more favorable to the retailer. The findings provide guidance for the emission-dependent manufacturer in financing and emission abatement decisions, as well as recommendations for the retailer to offer loan service and sharing contract. This paper integrates green credit into bank loan or trade credit to analyze the financing decision of the manufacturer with uncertain yield and further considers the influence of three kinds of sharing contracts introduced by the retailer on improving operational performance.Optimal financing strategy and contract design of supply chain with yield uncertainty under cap-and-trade regulation
Ting Tang, Haiyan Xu, Kebing Chen, Zhichao Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the study is to investigate the financing channels and carbon emission abatement preferences of supply chain members, and further examine the optimal contract design of the retailer.

This paper develops a low-carbon supply chain composed of one retailer and one manufacturer, in which the retailer provides trade credit to the manufacturer. Considering the cap-and-trade regulation, the manufacturer with uncertain yield makes decision on whether to invest in emission abatement. There are bank loan and trade credit to finance production for the manufacturer and green credit to finance emission abatement investment. Meanwhile, the retailer may provide the manufacturer with three kinds of contracts to improve emission abatement efficiency, namely, revenue sharing, cost sharing or both sharing.

The results show that the retailer prefers to offer financing service at lower interest rate, but trade (and green) credit financing is always optimal for manufacturer and supply chain. The investment in emission abatement is value-added to all players. The sharing contracts offered by the retailer at lower sharing ratios can realize Pareto improvement of the system regardless of the financing scheme. However, comparing with the revenue or cost sharing contract, the existence of optimal sharing ratios makes the both sharing contract more favorable to the retailer.

The findings provide guidance for the emission-dependent manufacturer in financing and emission abatement decisions, as well as recommendations for the retailer to offer loan service and sharing contract.

This paper integrates green credit into bank loan or trade credit to analyze the financing decision of the manufacturer with uncertain yield and further considers the influence of three kinds of sharing contracts introduced by the retailer on improving operational performance.

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Optimal financing strategy and contract design of supply chain with yield uncertainty under cap-and-trade regulation10.1108/K-02-2023-0226Kybernetes2023-07-04© 2023 Emerald Publishing LimitedTing TangHaiyan XuKebing ChenZhichao ZhangKybernetesahead-of-printahead-of-print2023-07-0410.1108/K-02-2023-0226https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0226/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Can sharing social-media contents associated with politics influence knowledge management in organizations?https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0227/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the organization. This research examines participants' responses to a colleague's social-media political exposure and their readiness to perform implicit KS to their colleague. Data collection uses an online questionnaire and a vignette approach. Subsequently, data analysis for 316 finished surveys employs structural equation modelling-partial least squares (SEM-PLS). The findings show that the perceived-value similarity of political posts of a colleague significantly and indirectly affects workers' readiness to do implicit KS. Besides, likes and trusts also significantly affect workers' readiness to perform implicit KS. While perceived-value similarity strongly shapes likes, likes significantly and positively affect trusts. Sharing social-media postings associated with political exposure can hinder the implicit KS in organizations and is understudied in the field of knowledge management. Especially, unlike this study which focuses on private companies, previous studies have paid more attention to public enterprises. Besides, this paper's empirical verification is obtained from private organizations in Indonesia, which is also neglected by scholars.Can sharing social-media contents associated with politics influence knowledge management in organizations?
Achmad Wildan Kurniawan, Suwandi Sumartias, Soeganda Priyatna, Karim Suryadi, Eli Sumarliah
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the organization. This research examines participants' responses to a colleague's social-media political exposure and their readiness to perform implicit KS to their colleague.

Data collection uses an online questionnaire and a vignette approach. Subsequently, data analysis for 316 finished surveys employs structural equation modelling-partial least squares (SEM-PLS).

The findings show that the perceived-value similarity of political posts of a colleague significantly and indirectly affects workers' readiness to do implicit KS. Besides, likes and trusts also significantly affect workers' readiness to perform implicit KS. While perceived-value similarity strongly shapes likes, likes significantly and positively affect trusts.

Sharing social-media postings associated with political exposure can hinder the implicit KS in organizations and is understudied in the field of knowledge management. Especially, unlike this study which focuses on private companies, previous studies have paid more attention to public enterprises. Besides, this paper's empirical verification is obtained from private organizations in Indonesia, which is also neglected by scholars.

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Can sharing social-media contents associated with politics influence knowledge management in organizations?10.1108/K-02-2023-0227Kybernetes2023-05-25© 2023 Emerald Publishing LimitedAchmad Wildan KurniawanSuwandi SumartiasSoeganda PriyatnaKarim SuryadiEli SumarliahKybernetesahead-of-printahead-of-print2023-05-2510.1108/K-02-2023-0227https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0227/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The analysis of brand reputation and willingness to pay price premium with regression analysis and classification algorithmshttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0231/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestBrand reputation (BR) is one of the most important factors that affect the consumer–brand relationship and give businesses a competitive advantage. Businesses with a strong BR can increase their market shares and product market prices, in addition to gaining a competitive advantage. In order for businesses to have these advantages, they need to know and analyze their consumers. This study aimed to develop an alternative analysis method by using classification algorithms and regression analysis to measure and evaluate the effect of consumers' BR perceptions on their willingness to pay premium prices (WPP). The research data were collected from 483 participants by the online survey method due to the COVID-19 pandemic. The data were first analyzed with regression analysis, and the effect of BR on WPP was found to be significant. Then, using artificial intelligence (AI) methods that were not used in previous studies, consumers' perceptions of BR and WPP were clustered and classified. The results revealed the highest and lowest customer groups with BR and WPP and empirically demonstrated that highly accurate practical classification models can be applied to determine strategies in line with these findings. The model proposed in this study offers an integrated approach by using AI and regression analysis together and tries to fill the gap in the literature in this field. Therefore, the novelty of this study is to quantitatively reveal and evaluate the relationship between BR and WPP by using AI classification algorithms and regression analysis together.The analysis of brand reputation and willingness to pay price premium with regression analysis and classification algorithms
Şeniz Özhan, Erkan Ozhan, Ozge Habiboglu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Brand reputation (BR) is one of the most important factors that affect the consumer–brand relationship and give businesses a competitive advantage. Businesses with a strong BR can increase their market shares and product market prices, in addition to gaining a competitive advantage. In order for businesses to have these advantages, they need to know and analyze their consumers. This study aimed to develop an alternative analysis method by using classification algorithms and regression analysis to measure and evaluate the effect of consumers' BR perceptions on their willingness to pay premium prices (WPP).

The research data were collected from 483 participants by the online survey method due to the COVID-19 pandemic. The data were first analyzed with regression analysis, and the effect of BR on WPP was found to be significant. Then, using artificial intelligence (AI) methods that were not used in previous studies, consumers' perceptions of BR and WPP were clustered and classified.

The results revealed the highest and lowest customer groups with BR and WPP and empirically demonstrated that highly accurate practical classification models can be applied to determine strategies in line with these findings.

The model proposed in this study offers an integrated approach by using AI and regression analysis together and tries to fill the gap in the literature in this field. Therefore, the novelty of this study is to quantitatively reveal and evaluate the relationship between BR and WPP by using AI classification algorithms and regression analysis together.

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The analysis of brand reputation and willingness to pay price premium with regression analysis and classification algorithms10.1108/K-02-2023-0231Kybernetes2023-12-05© 2023 Emerald Publishing LimitedŞeniz ÖzhanErkan OzhanOzge HabibogluKybernetesahead-of-printahead-of-print2023-12-0510.1108/K-02-2023-0231https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0231/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Recent trends, applications and technological evaluation of protective textile with patent analysishttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0232/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe textile sector is one of the sectors where competition is intense and requires the production of high-value-added products. This study aims to conduct patent analysis to find the technology status, recent trends, applications and technological evaluations of protective textile technologies in practice. More than 36,840 patent documents related to protective textile technologies are available for researchers, patent examiners and patent researchers. Patent analysis is conducted to report the technology status, recent trends and applications of protective textile technologies. This analysis provides insights into the possible future directions of protective textile technologies in practice. Additionally, association rule mining (ARM) is performed to find the hidden patterns among protective textile technologies. The development of protective textile technologies is revealed by the technology evaluation in this study. In addition, the sub-technology classes affecting protective textile technologies are examined using the cooperative patent classification (CPC) codes of the patent documents. Technology status and recent trends of protective textile technologies are provided in detail. The results of this study show that (1) protective textile technologies are constantly being developed, (2) the working areas of medical protective textiles are increasing, (3) there are frequent studies on fabric structures for saving lives within the framework of human needs and (4) there are four technology classes, namely A41D, Y10T, B32B and A62B impacting the other technology classes related to textile technologies such as D10B, Y10T, F41H, A62D, D04H, Y10S and D10B. To have a competitive advantage in the marketplace, evaluation of textile technologies is critical in developing “functionalized” and “technologized” textile products. In particular, evaluating technologies in developing protective textile products is extremely important to meet customer demands and present competitive products in the market. Examining these patents for technology developers, decision-makers and policymakers is an urgent and necessary job. However, studies examining the development of protective textile technologies with patent analysis are very limited in the literature. To fill this gap, technology status, recent trends and applications of protective textile technologies are reported based on patent analysis and ARM in this study.Recent trends, applications and technological evaluation of protective textile with patent analysis
Fatma Altuntas
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The textile sector is one of the sectors where competition is intense and requires the production of high-value-added products. This study aims to conduct patent analysis to find the technology status, recent trends, applications and technological evaluations of protective textile technologies in practice.

More than 36,840 patent documents related to protective textile technologies are available for researchers, patent examiners and patent researchers. Patent analysis is conducted to report the technology status, recent trends and applications of protective textile technologies. This analysis provides insights into the possible future directions of protective textile technologies in practice. Additionally, association rule mining (ARM) is performed to find the hidden patterns among protective textile technologies.

The development of protective textile technologies is revealed by the technology evaluation in this study. In addition, the sub-technology classes affecting protective textile technologies are examined using the cooperative patent classification (CPC) codes of the patent documents. Technology status and recent trends of protective textile technologies are provided in detail. The results of this study show that (1) protective textile technologies are constantly being developed, (2) the working areas of medical protective textiles are increasing, (3) there are frequent studies on fabric structures for saving lives within the framework of human needs and (4) there are four technology classes, namely A41D, Y10T, B32B and A62B impacting the other technology classes related to textile technologies such as D10B, Y10T, F41H, A62D, D04H, Y10S and D10B.

To have a competitive advantage in the marketplace, evaluation of textile technologies is critical in developing “functionalized” and “technologized” textile products. In particular, evaluating technologies in developing protective textile products is extremely important to meet customer demands and present competitive products in the market. Examining these patents for technology developers, decision-makers and policymakers is an urgent and necessary job. However, studies examining the development of protective textile technologies with patent analysis are very limited in the literature. To fill this gap, technology status, recent trends and applications of protective textile technologies are reported based on patent analysis and ARM in this study.

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Recent trends, applications and technological evaluation of protective textile with patent analysis10.1108/K-02-2023-0232Kybernetes2023-06-19© 2023 Emerald Publishing LimitedFatma AltuntasKybernetesahead-of-printahead-of-print2023-06-1910.1108/K-02-2023-0232https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0232/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How does blockchain technology affect the strategic financing decisions of platform supply chain with low-carbon product?https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0235/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTo explore how the blockchain affects the pricing and financing decisions in a low-carbon platform supply chain. Considering the dual roles of the e-commerce platform as a seller and an initiator, a typical game-theoretical method is applied to analyze the behavior of supply chain decision-makers and the impact of key variables on equilibriums. When loan interest rates are symmetric, whether blockchain is used or not, the e-commerce platform financing mode will always produce higher wholesale price and unit carbon emission reduction, while the retail price is the opposite. Higher unit additional income brought by the blockchain can bring higher economic and environmental performances, and the e-commerce platform financing mode is superior to bank financing mode. The application of blockchain may cause the manufacturer to change his/her financing choice. For bank financing, with the increase of loan interest rates, the advantages brought by blockchain will gradually disappear, but this situation will not occur under e-commerce platform financing. Blockchain is known for its information transparency properties and its ability to enhance user trust. However, the impacts of applying blockchain in a low-carbon platform supply chain with different financing options are not clear. The authors examine the manufacturer's strategic choices for platform financing and bank financing, whether to adopt blockchain, and the impact of these decisions on carbon emissions reduction, consumer surplus and social welfare. The research conclusion can provide reference for the operation and financing decisions of platform supply chain under the carbon reduction target in the digital economy era.How does blockchain technology affect the strategic financing decisions of platform supply chain with low-carbon product?
Miaomiao Wang, Xinyu Chen, Yuqing Tan, Xiaoxi Zhu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

To explore how the blockchain affects the pricing and financing decisions in a low-carbon platform supply chain.

Considering the dual roles of the e-commerce platform as a seller and an initiator, a typical game-theoretical method is applied to analyze the behavior of supply chain decision-makers and the impact of key variables on equilibriums.

When loan interest rates are symmetric, whether blockchain is used or not, the e-commerce platform financing mode will always produce higher wholesale price and unit carbon emission reduction, while the retail price is the opposite. Higher unit additional income brought by the blockchain can bring higher economic and environmental performances, and the e-commerce platform financing mode is superior to bank financing mode. The application of blockchain may cause the manufacturer to change his/her financing choice. For bank financing, with the increase of loan interest rates, the advantages brought by blockchain will gradually disappear, but this situation will not occur under e-commerce platform financing.

Blockchain is known for its information transparency properties and its ability to enhance user trust. However, the impacts of applying blockchain in a low-carbon platform supply chain with different financing options are not clear. The authors examine the manufacturer's strategic choices for platform financing and bank financing, whether to adopt blockchain, and the impact of these decisions on carbon emissions reduction, consumer surplus and social welfare. The research conclusion can provide reference for the operation and financing decisions of platform supply chain under the carbon reduction target in the digital economy era.

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How does blockchain technology affect the strategic financing decisions of platform supply chain with low-carbon product?10.1108/K-02-2023-0235Kybernetes2023-07-18© 2023 Emerald Publishing LimitedMiaomiao WangXinyu ChenYuqing TanXiaoxi ZhuKybernetesahead-of-printahead-of-print2023-07-1810.1108/K-02-2023-0235https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0235/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effect of financial soundness variables on bank performance: a macro-level analysis in MSCI Emerging Market Index countrieshttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0237/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe present study investigates the impact of financial soundness variables on bank performance in emerging countries. This study uses macro-level panel data from 17 countries from 2011 to 2020. The analysis adopts six models. While four models include bank profitability, the dependent variable of the other models is Bank Z Scores. Regulatory Capital to Risk-Weighted Assets, Liquid Assets to Total Assets, Non-Performing Loans to Total Gross Loans and Non-Interest Expenses to Gross Income are proxies of financial soundness variables. The authors estimate fixed and random effects models with the Arellano, Froot and Rogers methods. Empirical results show that Non-Performing Loans to Total Gross Loans harm ROA and ROE. Regulatory Capital to Risk-Weighted Assets negatively affects ROE. Non-Interest Expenses to Gross Income on Bank Z Scores have a significant and negative effect. Moreover, Inflation, Foreign Direct Investment and GDP are macroeconomic variables that increase bank profitability. This study contributes to the literature in different aspects. The first is the model of the study. The authors contribute to the literature regarding the variables used to measure financial soundness. Secondly, emerging countries are samples in the study. A significant part of the studies on financial soundness has focused on developed countries. Finally, the authors analyze the macro-level data. Bank soundness studies mainly investigate country-level variables. Macro-level analysis may provide an advantage in combating global financial crises.The effect of financial soundness variables on bank performance: a macro-level analysis in MSCI Emerging Market Index countries
Sabri Burak Arzova, Bertac Sakir Sahin
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The present study investigates the impact of financial soundness variables on bank performance in emerging countries.

This study uses macro-level panel data from 17 countries from 2011 to 2020. The analysis adopts six models. While four models include bank profitability, the dependent variable of the other models is Bank Z Scores. Regulatory Capital to Risk-Weighted Assets, Liquid Assets to Total Assets, Non-Performing Loans to Total Gross Loans and Non-Interest Expenses to Gross Income are proxies of financial soundness variables.

The authors estimate fixed and random effects models with the Arellano, Froot and Rogers methods. Empirical results show that Non-Performing Loans to Total Gross Loans harm ROA and ROE. Regulatory Capital to Risk-Weighted Assets negatively affects ROE. Non-Interest Expenses to Gross Income on Bank Z Scores have a significant and negative effect. Moreover, Inflation, Foreign Direct Investment and GDP are macroeconomic variables that increase bank profitability.

This study contributes to the literature in different aspects. The first is the model of the study. The authors contribute to the literature regarding the variables used to measure financial soundness. Secondly, emerging countries are samples in the study. A significant part of the studies on financial soundness has focused on developed countries. Finally, the authors analyze the macro-level data. Bank soundness studies mainly investigate country-level variables. Macro-level analysis may provide an advantage in combating global financial crises.

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The effect of financial soundness variables on bank performance: a macro-level analysis in MSCI Emerging Market Index countries10.1108/K-02-2023-0237Kybernetes2023-04-06© 2023 Emerald Publishing LimitedSabri Burak ArzovaBertac Sakir SahinKybernetesahead-of-printahead-of-print2023-04-0610.1108/K-02-2023-0237https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0237/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Analysis of the economic effect of RCEP under the “Indo-Pacific strategy”: the GTAP modelhttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0241/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study reveals the economic impact of the Indo-Pacific Strategy on the Regional Comprehensive Economic Partnership (RCEP). This paper uses the GTAP model to analyze the economic effects of RCEP under the effect of the “Indo-Pacific Strategy” under different scenarios. The results show that (1) with the improvement of the implementation effect of the US “Indo-Pacific Strategy,” the welfare level of China has gradually had a significant negative impact, while the welfare level of US Allies and partners has been further improved. (2) The implementation of the Indo-Pacific Strategy will further expand the import scale of Japan, South Korea and other Allies that are both RCEP members and the USA and slightly reduce the import scale of the European Union (EU) and other countries. (3) After the USA implemented the “Indo-Pacific Strategy,” its export scale has significantly improved, and it has been able to completely offset the adverse effects of the signing of RCEP on its exports. China's export scale has also gradually declined, and Japan has benefited the most. There are three main possible contributions to this article: first, the authors combined geopolitical factors to simulate and evaluate the economic effects of RCEP under different Indo-Pacific Strategy implementation scenarios, which is more relevant than analyzing the economic effects of RCEP in a “vacuum.” Second, the standard static GTAP model can only measure the change of equilibrium state before and after the trade policy. At the same time, the dynamic GTAP model (GTAP-Dyn) introduces mechanisms such as capital flow and capital accumulation and treats time as a continuous variable affected by exogenous variables so that each variable has a time dimension so as better to simulate the medium- and long-term economic effects. This paper refers to the dynamic recursion method of Walmsley (2006) and Yang (2011) to update the base year of the GTAP version 10.0 database to 2020, that is the time when RCEP officially reached 2020. The simulation results of shock variables introduced into the baseline scenario are more reliable. Third, the authors analyze the welfare effect of RCEP and the impact on the import and export of relevant countries from the macrolevel and examine the impact on different products in different countries from the microlevel.Analysis of the economic effect of RCEP under the “Indo-Pacific strategy”: the GTAP model
Su Pan, Xuanhao Zhang, Miraj Ahmed Bhuiyan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study reveals the economic impact of the Indo-Pacific Strategy on the Regional Comprehensive Economic Partnership (RCEP).

This paper uses the GTAP model to analyze the economic effects of RCEP under the effect of the “Indo-Pacific Strategy” under different scenarios.

The results show that (1) with the improvement of the implementation effect of the US “Indo-Pacific Strategy,” the welfare level of China has gradually had a significant negative impact, while the welfare level of US Allies and partners has been further improved. (2) The implementation of the Indo-Pacific Strategy will further expand the import scale of Japan, South Korea and other Allies that are both RCEP members and the USA and slightly reduce the import scale of the European Union (EU) and other countries. (3) After the USA implemented the “Indo-Pacific Strategy,” its export scale has significantly improved, and it has been able to completely offset the adverse effects of the signing of RCEP on its exports. China's export scale has also gradually declined, and Japan has benefited the most.

There are three main possible contributions to this article: first, the authors combined geopolitical factors to simulate and evaluate the economic effects of RCEP under different Indo-Pacific Strategy implementation scenarios, which is more relevant than analyzing the economic effects of RCEP in a “vacuum.” Second, the standard static GTAP model can only measure the change of equilibrium state before and after the trade policy. At the same time, the dynamic GTAP model (GTAP-Dyn) introduces mechanisms such as capital flow and capital accumulation and treats time as a continuous variable affected by exogenous variables so that each variable has a time dimension so as better to simulate the medium- and long-term economic effects. This paper refers to the dynamic recursion method of Walmsley (2006) and Yang (2011) to update the base year of the GTAP version 10.0 database to 2020, that is the time when RCEP officially reached 2020. The simulation results of shock variables introduced into the baseline scenario are more reliable. Third, the authors analyze the welfare effect of RCEP and the impact on the import and export of relevant countries from the macrolevel and examine the impact on different products in different countries from the microlevel.

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Analysis of the economic effect of RCEP under the “Indo-Pacific strategy”: the GTAP model10.1108/K-02-2023-0241Kybernetes2023-06-29© 2023 Emerald Publishing LimitedSu PanXuanhao ZhangMiraj Ahmed BhuiyanKybernetesahead-of-printahead-of-print2023-06-2910.1108/K-02-2023-0241https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0241/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Prescriptive digital transformation maturity model: a development and validation studyhttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0243/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components. A literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol. Results obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension. The developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification. A novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.Prescriptive digital transformation maturity model: a development and validation study
Batuhan Kocaoglu, Mehmet Kirmizi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.

A literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.

Results obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.

The developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.

A novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.

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Prescriptive digital transformation maturity model: a development and validation study10.1108/K-02-2023-0243Kybernetes2024-02-14© 2024 Emerald Publishing LimitedBatuhan KocaogluMehmet KirmiziKybernetesahead-of-printahead-of-print2024-02-1410.1108/K-02-2023-0243https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0243/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Artificial intelligence in customer retention: a bibliometric analysis and future research frameworkhttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0245/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestArtificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively influence customer behaviors. Businesses use AI to generate behaviors such as customer retention (CR). The existing literature on “AI and CR” is vastly scattered. The paper aims to review the present research on AI in CR systematically and suggest future research directions to further develop the field. The Scopus database is used to collect the data for systematic review and bibliometric analysis using the VOSviewer tool. The paper performs the following analysis: (1) year-wise publications and citations, (2) co-authorship analysis of authors, countries, and affiliations, (3) citation analysis of articles and journals, (4) co-occurrence visualization of binding terms, and (5) bibliographic coupling of articles. Five research themes are identified, namely, (1) AI and customer churn prediction in CR, (2) AI and customer service experience in CR, (3) AI and customer sentiment analysis in CR, (4) AI and customer (big data) analytics in CR, and (5) AI privacy and ethical concerns in CR. Based on the research themes, fifteen future research objectives and a future research framework are suggested. The paper has important implications for researchers and managers as it reveals vital insights into the latest trends and paths in AI-CR research and practices. It focuses on privacy and ethical issues of AI; hence, it will help the government develop policies for sustainable AI adoption for CR. To the author's best knowledge, this paper is the first attempt to comprehensively review the existing research on “AI and CR” using bibliometric analysis.Artificial intelligence in customer retention: a bibliometric analysis and future research framework
Chetanya Singh, Manoj Kumar Dash, Rajendra Sahu, Anil Kumar
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively influence customer behaviors. Businesses use AI to generate behaviors such as customer retention (CR). The existing literature on “AI and CR” is vastly scattered. The paper aims to review the present research on AI in CR systematically and suggest future research directions to further develop the field.

The Scopus database is used to collect the data for systematic review and bibliometric analysis using the VOSviewer tool. The paper performs the following analysis: (1) year-wise publications and citations, (2) co-authorship analysis of authors, countries, and affiliations, (3) citation analysis of articles and journals, (4) co-occurrence visualization of binding terms, and (5) bibliographic coupling of articles.

Five research themes are identified, namely, (1) AI and customer churn prediction in CR, (2) AI and customer service experience in CR, (3) AI and customer sentiment analysis in CR, (4) AI and customer (big data) analytics in CR, and (5) AI privacy and ethical concerns in CR. Based on the research themes, fifteen future research objectives and a future research framework are suggested.

The paper has important implications for researchers and managers as it reveals vital insights into the latest trends and paths in AI-CR research and practices. It focuses on privacy and ethical issues of AI; hence, it will help the government develop policies for sustainable AI adoption for CR.

To the author's best knowledge, this paper is the first attempt to comprehensively review the existing research on “AI and CR” using bibliometric analysis.

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Artificial intelligence in customer retention: a bibliometric analysis and future research framework10.1108/K-02-2023-0245Kybernetes2023-07-31© 2023 Emerald Publishing LimitedChetanya SinghManoj Kumar DashRajendra SahuAnil KumarKybernetesahead-of-printahead-of-print2023-07-3110.1108/K-02-2023-0245https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0245/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effect of overconfidence in a robust competing gamehttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0261/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate the effects and implications of overconfidence in a competitive game involving multiple newsvendors. This study explores how overconfidence influences system coordination, optimal stocking strategies and competition among newsvendors in the context of the well-known newsvendor stocking problem. The study applies robust optimization theory and the absolute regret minimization criterion to analyze the competitive game of overconfident newsvendors. This study considers the asymmetric information held by newsvendors regarding market demand and obtains a closed-form solution for the competing game. The effects of overconfidence on system coordination and optimal stocking strategies are examined. The results of the study indicate that overconfidence can act as a positive force in reducing the effects of overstocking caused by competition and asymmetric information among newsvendors. The analysis reveals that there exists an optimal level of overconfidence that coordinates the ordering system of multiple overconfident newsvendors, leading to first-best outcomes under certain conditions. Additionally, numerical examples confirm the obtained results. Furthermore, considering newsvendors' expected profit, the study finds that a higher degree of overconfidence does not necessarily result in lower actual expected profit. Despite the significant contributions of this study to theoretical and managerial insights, this study does have certain limitations. First, in the establishment of the belief demand function, the substitution ratio, which quantifies the transfer, is assumed to be an exogenous variable. However, in reality, this is often influenced by factors such as the price of goods and the distance between stores. Therefore, one direction worth studying in the future is to explore the uncertainty associated with the demand substitution ratio and integrate that as an endogenous variable into the optimization model. Second, this study does not address the type of product and solely focuses on quantitatively analyzing the effect of salvage value on the optimal stocking strategy. Future studies can explore the effect of degree of perishability and selling period of the product on the stocking. Third, the focus of uncertainty in this study revolves around market demand, and the implications of this uncertainty are significant. A recent study (Rahbari et al., 2023) addressed an innovative robust optimization problem related to canned foods during pandemic crises. The recent study's findings highlighted the effectiveness of expanding canned food exports to neighboring countries with economic justification as the best strategy for companies amidst the disruptions caused by the coronavirus disease 2019 (COVID-19) pandemic. Incorporating the issue of disruptions into the authors' research would be interesting and challenging. From a managerial perspective, the authors' study provides a research paradigm for game-theoretic inventory problems in scenarios where the market demand distribution is unknown. While most inventory problems are analyzed and solved based on expectation-based optimization criteria, which rely on an accurate distribution of market demand, obtaining this information in practice can often be challenging or expensive for decision-makers. Consequently, a discrepancy arises between real-world observations and theoretical identifications. This study aimed to complement previous research and address the inconsistency between observations and theoretical identification. The authors' research contributes to the existing understanding of overconfidence and assists individuals in making appropriate stocking strategies based on the individuals' level of overconfidence. Diverging significantly from the traditional view of overconfidence as a negative bias, the authors' results show the view's potential positive impact within a competitive environment, resulting in greater actual expected profits for newsvendors. This study contributes to the existing literature by examining the effects of overconfidence in a competitive game of newsvendors. This study extends the analysis of the well-known newsvendor stocking problem by incorporating overconfidence and considering the implications for system coordination and competition. The application of robust optimization theory and the absolute regret minimization criterion provides a novel approach to studying overconfidence in this context.The effect of overconfidence in a robust competing game
Jia Jia Chang, Zhi Jun Hu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to investigate the effects and implications of overconfidence in a competitive game involving multiple newsvendors. This study explores how overconfidence influences system coordination, optimal stocking strategies and competition among newsvendors in the context of the well-known newsvendor stocking problem.

The study applies robust optimization theory and the absolute regret minimization criterion to analyze the competitive game of overconfident newsvendors. This study considers the asymmetric information held by newsvendors regarding market demand and obtains a closed-form solution for the competing game. The effects of overconfidence on system coordination and optimal stocking strategies are examined.

The results of the study indicate that overconfidence can act as a positive force in reducing the effects of overstocking caused by competition and asymmetric information among newsvendors. The analysis reveals that there exists an optimal level of overconfidence that coordinates the ordering system of multiple overconfident newsvendors, leading to first-best outcomes under certain conditions. Additionally, numerical examples confirm the obtained results. Furthermore, considering newsvendors' expected profit, the study finds that a higher degree of overconfidence does not necessarily result in lower actual expected profit.

Despite the significant contributions of this study to theoretical and managerial insights, this study does have certain limitations. First, in the establishment of the belief demand function, the substitution ratio, which quantifies the transfer, is assumed to be an exogenous variable. However, in reality, this is often influenced by factors such as the price of goods and the distance between stores. Therefore, one direction worth studying in the future is to explore the uncertainty associated with the demand substitution ratio and integrate that as an endogenous variable into the optimization model. Second, this study does not address the type of product and solely focuses on quantitatively analyzing the effect of salvage value on the optimal stocking strategy. Future studies can explore the effect of degree of perishability and selling period of the product on the stocking. Third, the focus of uncertainty in this study revolves around market demand, and the implications of this uncertainty are significant. A recent study (Rahbari et al., 2023) addressed an innovative robust optimization problem related to canned foods during pandemic crises. The recent study's findings highlighted the effectiveness of expanding canned food exports to neighboring countries with economic justification as the best strategy for companies amidst the disruptions caused by the coronavirus disease 2019 (COVID-19) pandemic. Incorporating the issue of disruptions into the authors' research would be interesting and challenging.

From a managerial perspective, the authors' study provides a research paradigm for game-theoretic inventory problems in scenarios where the market demand distribution is unknown. While most inventory problems are analyzed and solved based on expectation-based optimization criteria, which rely on an accurate distribution of market demand, obtaining this information in practice can often be challenging or expensive for decision-makers. Consequently, a discrepancy arises between real-world observations and theoretical identifications. This study aimed to complement previous research and address the inconsistency between observations and theoretical identification.

The authors' research contributes to the existing understanding of overconfidence and assists individuals in making appropriate stocking strategies based on the individuals' level of overconfidence. Diverging significantly from the traditional view of overconfidence as a negative bias, the authors' results show the view's potential positive impact within a competitive environment, resulting in greater actual expected profits for newsvendors.

This study contributes to the existing literature by examining the effects of overconfidence in a competitive game of newsvendors. This study extends the analysis of the well-known newsvendor stocking problem by incorporating overconfidence and considering the implications for system coordination and competition. The application of robust optimization theory and the absolute regret minimization criterion provides a novel approach to studying overconfidence in this context.

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The effect of overconfidence in a robust competing game10.1108/K-02-2023-0261Kybernetes2023-08-08© 2023 Emerald Publishing LimitedJia Jia ChangZhi Jun HuKybernetesahead-of-printahead-of-print2023-08-0810.1108/K-02-2023-0261https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0261/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Skilled managers and capital financing decisions: navigating Chinese firms through financing constraints and growth opportunitieshttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0268/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestExecutive decisions regarding capital financing are an important management aspect, especially during financing constraints and growth opportunities. The current study examines the impact of managerial skills of a company on capital financing decisions. Furthermore, it analyzed this nexus in financing constraints and growth opportunity situations. The authors use the GMM (generalized method of moments) estimation approach on a dataset of 20,651 firm-year observations of Chinese A-share companies from 2010 to 2019. The authors’ findings are compatible with management signaling and reputation enhancement theories, since they show that managerial skill is connected with more substantial debt financing. Managers with high management skills are likely to have more debt financing as they can foresee the economic future of their companies and tactfully convey private information, lowering information inequality and enhancing their reputation. Furthermore, the authors also show that firms with restricted financial resources and growth opportunities make this relationship stronger. Capital structure and managerial skill findings are unaffected by alternative specifications, omitted factors, industry group bias and endogeneity. This study sheds fresh light on the essential manager personality trait of managing ability and how it influences complicated corporate decision-making, particularly in the tough environment due to financing constraints and competitive growth. The authors argue that high-ability managers are compelled to use debt financing not only to lessen information asymmetry but also to guarantee that the market finds their superior ability. This work contributes significantly to the managerial ability literature and the capital structure literature supporting signaling theory.Skilled managers and capital financing decisions: navigating Chinese firms through financing constraints and growth opportunities
R.M. Ammar Zahid, Muhammad Kaleem Khan, Muhammad Shafiq Kaleem
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Executive decisions regarding capital financing are an important management aspect, especially during financing constraints and growth opportunities. The current study examines the impact of managerial skills of a company on capital financing decisions. Furthermore, it analyzed this nexus in financing constraints and growth opportunity situations.

The authors use the GMM (generalized method of moments) estimation approach on a dataset of 20,651 firm-year observations of Chinese A-share companies from 2010 to 2019.

The authors’ findings are compatible with management signaling and reputation enhancement theories, since they show that managerial skill is connected with more substantial debt financing. Managers with high management skills are likely to have more debt financing as they can foresee the economic future of their companies and tactfully convey private information, lowering information inequality and enhancing their reputation. Furthermore, the authors also show that firms with restricted financial resources and growth opportunities make this relationship stronger. Capital structure and managerial skill findings are unaffected by alternative specifications, omitted factors, industry group bias and endogeneity.

This study sheds fresh light on the essential manager personality trait of managing ability and how it influences complicated corporate decision-making, particularly in the tough environment due to financing constraints and competitive growth. The authors argue that high-ability managers are compelled to use debt financing not only to lessen information asymmetry but also to guarantee that the market finds their superior ability. This work contributes significantly to the managerial ability literature and the capital structure literature supporting signaling theory.

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Skilled managers and capital financing decisions: navigating Chinese firms through financing constraints and growth opportunities10.1108/K-02-2023-0268Kybernetes2023-07-12© 2023 Emerald Publishing LimitedR.M. Ammar ZahidMuhammad Kaleem KhanMuhammad Shafiq KaleemKybernetesahead-of-printahead-of-print2023-07-1210.1108/K-02-2023-0268https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0268/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Stock price index prediction based on SSA-BiGRU-GSCV model from the perspective of long memoryhttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0286/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestBecause the dynamic characteristics of the stock market are nonlinear, it is unclear whether stock prices can be predicted. This paper aims to explore the predictability of the stock price index from a long-memory perspective. The authors propose hybrid models to predict the next-day closing price index and explore the policy effects behind stock prices. The paper aims to discuss the aforementioned ideas. The authors found a long memory in the stock price index series using modified R/S and GPH tests, and propose an improved bi-directional gated recurrent units (BiGRU) hybrid network framework to predict the next-day stock price index. The proposed framework integrates (1) A de-noising module—Singular Spectrum Analysis (SSA) algorithm, (2) a predictive module—BiGRU model, and (3) an optimization module—Grid Search Cross-validation (GSCV) algorithm. Three critical findings are long memory, fit effectiveness and model optimization. There is long memory (predictability) in the stock price index series. The proposed framework yields predictions of optimum fit. Data de-noising and parameter optimization can improve the model fit. The empirical data are obtained from the financial data of listed companies in the Wind Financial Terminal. The model can accurately predict stock price index series, guide investors to make reasonable investment decisions, and provide a basis for establishing individual industry stock investment strategies. If the index series in the stock market exhibits long-memory characteristics, the policy implication is that fractal markets, even in the nonlinear case, allow for a corresponding distribution pattern in the value of portfolio assets. The risk of stock price volatility in various sectors has expanded due to the effects of the COVID-19 pandemic and the R-U conflict on the stock market. Predicting future trends by forecasting stock prices is critical for minimizing financial risk. The ability to mitigate the epidemic’s impact and stop losses promptly is relevant to market regulators, companies and other relevant stakeholders. Although long memory exists, the stock price index series can be predicted. However, price fluctuations are unstable and chaotic, and traditional mathematical and statistical methods cannot provide precise predictions. The network framework proposed in this paper has robust horizontal connections between units, strong memory capability and stronger generalization ability than traditional network structures. The authors demonstrate significant performance improvements of SSA-BiGRU-GSCV over comparison models on Chinese stocks.Stock price index prediction based on SSA-BiGRU-GSCV model from the perspective of long memory
Zengli Mao, Chong Wu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Because the dynamic characteristics of the stock market are nonlinear, it is unclear whether stock prices can be predicted. This paper aims to explore the predictability of the stock price index from a long-memory perspective. The authors propose hybrid models to predict the next-day closing price index and explore the policy effects behind stock prices. The paper aims to discuss the aforementioned ideas.

The authors found a long memory in the stock price index series using modified R/S and GPH tests, and propose an improved bi-directional gated recurrent units (BiGRU) hybrid network framework to predict the next-day stock price index. The proposed framework integrates (1) A de-noising module—Singular Spectrum Analysis (SSA) algorithm, (2) a predictive module—BiGRU model, and (3) an optimization module—Grid Search Cross-validation (GSCV) algorithm.

Three critical findings are long memory, fit effectiveness and model optimization. There is long memory (predictability) in the stock price index series. The proposed framework yields predictions of optimum fit. Data de-noising and parameter optimization can improve the model fit.

The empirical data are obtained from the financial data of listed companies in the Wind Financial Terminal. The model can accurately predict stock price index series, guide investors to make reasonable investment decisions, and provide a basis for establishing individual industry stock investment strategies.

If the index series in the stock market exhibits long-memory characteristics, the policy implication is that fractal markets, even in the nonlinear case, allow for a corresponding distribution pattern in the value of portfolio assets. The risk of stock price volatility in various sectors has expanded due to the effects of the COVID-19 pandemic and the R-U conflict on the stock market. Predicting future trends by forecasting stock prices is critical for minimizing financial risk. The ability to mitigate the epidemic’s impact and stop losses promptly is relevant to market regulators, companies and other relevant stakeholders.

Although long memory exists, the stock price index series can be predicted. However, price fluctuations are unstable and chaotic, and traditional mathematical and statistical methods cannot provide precise predictions. The network framework proposed in this paper has robust horizontal connections between units, strong memory capability and stronger generalization ability than traditional network structures. The authors demonstrate significant performance improvements of SSA-BiGRU-GSCV over comparison models on Chinese stocks.

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Stock price index prediction based on SSA-BiGRU-GSCV model from the perspective of long memory10.1108/K-02-2023-0286Kybernetes2023-09-12© 2023 Emerald Publishing LimitedZengli MaoChong WuKybernetesahead-of-printahead-of-print2023-09-1210.1108/K-02-2023-0286https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0286/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Niklas Luhmann and Jacques Ellul on the autonomy of technologyhttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0287/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDrawing on the work of Niklas Luhmann, the paper argues that technology can be viewed as a self-referential system which is autonomous from both human beings and other function systems of society. The paper aims to develop a philosophy of technology from the work of Niklas Luhmann. To achieve this aim, it draws upon the systems-theory work of Jacques Ellul, a philosopher of technology who focuses on the autonomous potential of technological evolution. The paper draws on the work of Niklas Luhmann and Jacques Ellul to explore the theme of autonomous technology and what this means for our thinking about technological issues in the twenty-first century. Insights from these two thinkers and researchers working in the Luhmannian sociological tradition are applied to remote work. The sociological approach of Luhmann, coupled with Ellul's insights into the autonomous nature of technology, can help us develop a systems theory of technology which takes seriously its irreducibility to human functions. The paper contributes to the growing sociological literature that thematizes the Luhmannian approach to technology, helping us better understand this phenomenon and think in new ways about what technological autonomy means. The paper brings together the work of Luhmann, Ellul and contemporary researchers to advance a new understanding of technology and technological communication.Niklas Luhmann and Jacques Ellul on the autonomy of technology
Adam Lovasz
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Drawing on the work of Niklas Luhmann, the paper argues that technology can be viewed as a self-referential system which is autonomous from both human beings and other function systems of society. The paper aims to develop a philosophy of technology from the work of Niklas Luhmann. To achieve this aim, it draws upon the systems-theory work of Jacques Ellul, a philosopher of technology who focuses on the autonomous potential of technological evolution.

The paper draws on the work of Niklas Luhmann and Jacques Ellul to explore the theme of autonomous technology and what this means for our thinking about technological issues in the twenty-first century. Insights from these two thinkers and researchers working in the Luhmannian sociological tradition are applied to remote work.

The sociological approach of Luhmann, coupled with Ellul's insights into the autonomous nature of technology, can help us develop a systems theory of technology which takes seriously its irreducibility to human functions.

The paper contributes to the growing sociological literature that thematizes the Luhmannian approach to technology, helping us better understand this phenomenon and think in new ways about what technological autonomy means.

The paper brings together the work of Luhmann, Ellul and contemporary researchers to advance a new understanding of technology and technological communication.

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Niklas Luhmann and Jacques Ellul on the autonomy of technology10.1108/K-02-2023-0287Kybernetes2023-06-13© 2023 Emerald Publishing LimitedAdam LovaszKybernetesahead-of-printahead-of-print2023-06-1310.1108/K-02-2023-0287https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0287/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Nexus of workplace incivility, workplace violence and turnover intentions: a mediation study through job burnouthttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0299/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe present study aims to test the impact of workplace incivility and violence on doctors' turnover intentions. Besides, the present study also tested the mediating role of employees' burnout. The population of the present study was doctors working in 20 public sector hospitals. Where 250 doctors working in emergency departments participated, the sample size was calculated through Krejcie and Morgan's table. The data analysis was conducted through SPSS and Smart-PLS. Results of the present study supported all the relationships except the relationship between workplace violence and turnover intentions. More specifically, relationship between workplace incivility and turnover intentions was confirmed, and mediation effect of doctors' burnout was also confirmed. This present study is novel in a way that this study framed the study model using conservative resource theory and social cognitive theory covering both employees cognitive and external factors. Further, the nexus “workplace incivility → workplace violence → job burnout → turnover intentions” was tested for the first time, hence making a valuable addition to the body of literature. Further this study is a contribution to healthcare literature in context of incivility, violence, burnout, and turnover. Burnout is first time explored as moderator with workplace incivility which is another contribution.Nexus of workplace incivility, workplace violence and turnover intentions: a mediation study through job burnout
Attia Aman-Ullah, Anis Ali, Antonio Ariza-Montes, Waqas Mehmood, Ummi Naiemah Saraih
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The present study aims to test the impact of workplace incivility and violence on doctors' turnover intentions. Besides, the present study also tested the mediating role of employees' burnout.

The population of the present study was doctors working in 20 public sector hospitals. Where 250 doctors working in emergency departments participated, the sample size was calculated through Krejcie and Morgan's table. The data analysis was conducted through SPSS and Smart-PLS.

Results of the present study supported all the relationships except the relationship between workplace violence and turnover intentions. More specifically, relationship between workplace incivility and turnover intentions was confirmed, and mediation effect of doctors' burnout was also confirmed.

This present study is novel in a way that this study framed the study model using conservative resource theory and social cognitive theory covering both employees cognitive and external factors. Further, the nexus “workplace incivility → workplace violence → job burnout → turnover intentions” was tested for the first time, hence making a valuable addition to the body of literature. Further this study is a contribution to healthcare literature in context of incivility, violence, burnout, and turnover. Burnout is first time explored as moderator with workplace incivility which is another contribution.

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Nexus of workplace incivility, workplace violence and turnover intentions: a mediation study through job burnout10.1108/K-02-2023-0299Kybernetes2023-08-03© 2023 Emerald Publishing LimitedAttia Aman-UllahAnis AliAntonio Ariza-MontesWaqas MehmoodUmmi Naiemah SaraihKybernetesahead-of-printahead-of-print2023-08-0310.1108/K-02-2023-0299https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0299/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How do board network and academic connection promote digital transformation?https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0302/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to explore the antecedents of digital technology adoption by firms, specifically the role of strategic leader social ties such as board networks and executive academic connections in promoting digital transformation. Moreover, the authors also aim to examine the moderating effect of exploratory innovation strategy on the relationship between board networks, academic connections and digital transformation. This study uses the panel data of Chinese A-share listed companies from 2010 to 2019. Through text analysis of data such as company annual report, media interaction, asset annotation and International Patent Classification, the authors measure degrees of digital transformation from four dimensions: management attention, media discussion, digital input and digital output. Further, this study employs social network analysis and instrumental variable method to examine the causal relationship between strategic leader social ties and digital transformation. The study finds that an expansive board network can significantly promote the digital transformation process of companies, in which academic connection of senior executives plays a positive synergistic role with board network. Additionally, firms with exploratory innovation strategies are more likely to utilize board networks to accelerate their digital transformation process. One limitation of this study is the use of Chinese A-share listed companies as the sample, which may limit the generalizability of the findings to other contexts. Additionally, the study focuses only on two types of strategic leader social ties and does not consider other potential antecedents of digital transformation. This research provides insights for governments to promote digital economy and industrial upgrading. Policymakers can facilitate industrial digital transformation by creating a supportive policy environment that encourages university–industry collaboration. By fostering academic entrepreneurship and cross-border knowledge transfer, governments can create a thriving ecosystem for digital innovation, thereby enhancing industrial competitiveness and economic growth. This study helps to improve social welfare. By reducing production costs and enhancing customer experience, digital transformation increases economic surplus for both consumers and manufacturers, enabling society as a whole to benefit from the digital dividend. By promoting collaboration across borders and embracing a digital-friendly culture, businesses and governments can achieve long-term success in the digital age and contribute to building more prosperous and sustainable societies. This research makes several contributions to the literature on digital transformation and leadership. Firstly, this paper empirically examines the role of board network and executive academic connection in promoting the adoption of digital technology, filling the research gap of leadership antecedents of digital transformation. Secondly, the authors put forward a relatively comprehensive measure for digital transformation, which could help to advance the literature on digital transformation and provide a more nuanced perspective on this topic. Finally, the paper enriches the theoretical understanding of board network and executive academic connection from the perspective of social capital theory and organizational learning theory.How do board network and academic connection promote digital transformation?
Runyong Liao, Feng Feng
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to explore the antecedents of digital technology adoption by firms, specifically the role of strategic leader social ties such as board networks and executive academic connections in promoting digital transformation. Moreover, the authors also aim to examine the moderating effect of exploratory innovation strategy on the relationship between board networks, academic connections and digital transformation.

This study uses the panel data of Chinese A-share listed companies from 2010 to 2019. Through text analysis of data such as company annual report, media interaction, asset annotation and International Patent Classification, the authors measure degrees of digital transformation from four dimensions: management attention, media discussion, digital input and digital output. Further, this study employs social network analysis and instrumental variable method to examine the causal relationship between strategic leader social ties and digital transformation.

The study finds that an expansive board network can significantly promote the digital transformation process of companies, in which academic connection of senior executives plays a positive synergistic role with board network. Additionally, firms with exploratory innovation strategies are more likely to utilize board networks to accelerate their digital transformation process.

One limitation of this study is the use of Chinese A-share listed companies as the sample, which may limit the generalizability of the findings to other contexts. Additionally, the study focuses only on two types of strategic leader social ties and does not consider other potential antecedents of digital transformation.

This research provides insights for governments to promote digital economy and industrial upgrading. Policymakers can facilitate industrial digital transformation by creating a supportive policy environment that encourages university–industry collaboration. By fostering academic entrepreneurship and cross-border knowledge transfer, governments can create a thriving ecosystem for digital innovation, thereby enhancing industrial competitiveness and economic growth.

This study helps to improve social welfare. By reducing production costs and enhancing customer experience, digital transformation increases economic surplus for both consumers and manufacturers, enabling society as a whole to benefit from the digital dividend. By promoting collaboration across borders and embracing a digital-friendly culture, businesses and governments can achieve long-term success in the digital age and contribute to building more prosperous and sustainable societies.

This research makes several contributions to the literature on digital transformation and leadership. Firstly, this paper empirically examines the role of board network and executive academic connection in promoting the adoption of digital technology, filling the research gap of leadership antecedents of digital transformation. Secondly, the authors put forward a relatively comprehensive measure for digital transformation, which could help to advance the literature on digital transformation and provide a more nuanced perspective on this topic. Finally, the paper enriches the theoretical understanding of board network and executive academic connection from the perspective of social capital theory and organizational learning theory.

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How do board network and academic connection promote digital transformation?10.1108/K-02-2023-0302Kybernetes2023-07-14© 2023 Emerald Publishing LimitedRunyong LiaoFeng FengKybernetesahead-of-printahead-of-print2023-07-1410.1108/K-02-2023-0302https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0302/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Domestic tourism and the effects of behavioral changes, government-media trust and moderation of “maintenance of country image”: theoretical analysishttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0303/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestContemporary changes have occurred in country-level policies and tourists’ intentions in recent years. The role of maintaining a country’s image is trendy in crisis control but has not yet been discussed in domestic tourism research. Extending the Stimulus Organism Response model, this study aims to focus on “trustable WOM creation” in China. In addition, it aimed to discover how behavioral changes encourage domestic tourism intention (DTI). This study explored the mediating role of DTI and the moderating role of maintenance of country image (MCI) for trustable word of mouth (WOM) creation. Using the snowball sampling technique, a structural equation modeling analysis (Smart PLS-4) was employed to analyze the data of 487 Chinese tourists. Findings confirm that behavioral changes positively encourage domestic tourism and discourage international tourism, with significant negative moderation by MCI. MCI has an insignificant positive moderating effect between government-media trust and DTI. Furthermore, DTI positively and directly affects the creation of trustable WOM. In addition, it had a 20% mediation effect (VAF%) between behavioral changes and WOM creation, higher than the rejected mediation effect (12%), in the causal relationship between government-media trust and WOM creation. WOM creation varies from different behavioral changes, but findings suggest that government-media trust and DTI influenced it significantly. Based on the study findings, the government and media can enhance domestic tourism by maintaining the country’s image. These findings both encourage and control the recovery of tourism. This study provides a theoretical explanation for tourists' behavioral changes during the pandemic. Moreover, it shows that despite avoiding international tourism due to behavioral changes and government-media trust, MCI moderation with the mediation effect of DTI can create trustable WOM. To the best of the authors’ knowledge, this is the first study to theoretically promote tourism through DTI-induced psychology as a mediator and an organism affect prevailing among Chinese tourists.Domestic tourism and the effects of behavioral changes, government-media trust and moderation of “maintenance of country image”: theoretical analysis
Ammar Yasir, Xiaojian Hu, Murat Aktan, Pablo Farías, Abdul Rauf
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Contemporary changes have occurred in country-level policies and tourists’ intentions in recent years. The role of maintaining a country’s image is trendy in crisis control but has not yet been discussed in domestic tourism research. Extending the Stimulus Organism Response model, this study aims to focus on “trustable WOM creation” in China. In addition, it aimed to discover how behavioral changes encourage domestic tourism intention (DTI).

This study explored the mediating role of DTI and the moderating role of maintenance of country image (MCI) for trustable word of mouth (WOM) creation. Using the snowball sampling technique, a structural equation modeling analysis (Smart PLS-4) was employed to analyze the data of 487 Chinese tourists.

Findings confirm that behavioral changes positively encourage domestic tourism and discourage international tourism, with significant negative moderation by MCI. MCI has an insignificant positive moderating effect between government-media trust and DTI. Furthermore, DTI positively and directly affects the creation of trustable WOM. In addition, it had a 20% mediation effect (VAF%) between behavioral changes and WOM creation, higher than the rejected mediation effect (12%), in the causal relationship between government-media trust and WOM creation.

WOM creation varies from different behavioral changes, but findings suggest that government-media trust and DTI influenced it significantly. Based on the study findings, the government and media can enhance domestic tourism by maintaining the country’s image. These findings both encourage and control the recovery of tourism.

This study provides a theoretical explanation for tourists' behavioral changes during the pandemic. Moreover, it shows that despite avoiding international tourism due to behavioral changes and government-media trust, MCI moderation with the mediation effect of DTI can create trustable WOM. To the best of the authors’ knowledge, this is the first study to theoretically promote tourism through DTI-induced psychology as a mediator and an organism affect prevailing among Chinese tourists.

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Domestic tourism and the effects of behavioral changes, government-media trust and moderation of “maintenance of country image”: theoretical analysis10.1108/K-02-2023-0303Kybernetes2024-01-11© 2023 Emerald Publishing LimitedAmmar YasirXiaojian HuMurat AktanPablo FaríasAbdul RaufKybernetesahead-of-printahead-of-print2024-01-1110.1108/K-02-2023-0303https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0303/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Advance selling and service cancelation when consumers are overconfidenthttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0306/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to study the joint decision making of advance selling and service cancelation for service provides with limited capacity when consumers are overconfident. For the case in which consumers encounter uncertainties about product valuation and consumption states in the advance period and are overconfident about the probability of a good state, we study how the service provider chooses the optimal sales strategy among the non-advance selling strategy, the advance selling and disallowing cancelation strategy, and the advance selling and allowing cancelation strategy. We also discuss how overconfidence influences the service provider’s decision making. The results show that when service capacity is sufficient, the service provider should adopt advance selling and disallow cancelation; when service capacity is insufficient, the service provider should still implement advance selling but allow cancelation; and when service capacity is extremely insufficient, the service provider should offer spot sales. Moreover, overconfidence weakens the necessity to allow cancelation under sufficient service capacity and enhances it under insufficient service capacity but is always advantageous to advance selling. The obtained results provide managerial insights for service providers to make advance selling decisions. This paper is among the first to explore the effect of consumers’ overconfidence on the joint decision of advance selling and service cancelation under capacity constraints.Advance selling and service cancelation when consumers are overconfident
Zhongfeng Sun, Guojun Ji, Kim Hua Tan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to study the joint decision making of advance selling and service cancelation for service provides with limited capacity when consumers are overconfident.

For the case in which consumers encounter uncertainties about product valuation and consumption states in the advance period and are overconfident about the probability of a good state, we study how the service provider chooses the optimal sales strategy among the non-advance selling strategy, the advance selling and disallowing cancelation strategy, and the advance selling and allowing cancelation strategy. We also discuss how overconfidence influences the service provider’s decision making.

The results show that when service capacity is sufficient, the service provider should adopt advance selling and disallow cancelation; when service capacity is insufficient, the service provider should still implement advance selling but allow cancelation; and when service capacity is extremely insufficient, the service provider should offer spot sales. Moreover, overconfidence weakens the necessity to allow cancelation under sufficient service capacity and enhances it under insufficient service capacity but is always advantageous to advance selling.

The obtained results provide managerial insights for service providers to make advance selling decisions.

This paper is among the first to explore the effect of consumers’ overconfidence on the joint decision of advance selling and service cancelation under capacity constraints.

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Advance selling and service cancelation when consumers are overconfident10.1108/K-02-2023-0306Kybernetes2024-03-05© 2024 Emerald Publishing LimitedZhongfeng SunGuojun JiKim Hua TanKybernetesahead-of-printahead-of-print2024-03-0510.1108/K-02-2023-0306https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0306/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Mediating role of engagement and commitment to bridge empowering leadership and task performancehttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0315/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research seeks to reveal the mediating role of work engagement and affective commitment as individual aspects that have the potential to bridge the effect of empowering leadership on the task performance of Correctional Service counselors in Indonesia, especially due to the limited literature on these two aspects in the context of public organizations. Quantitative research was conducted on 350 counselors throughout Indonesia. The data was collected by distributing questionnaires online. The collected data were then analyzed using Structural Equation Modeling to test the seven research hypotheses. Empowering leadership significantly strengthens task performance, work engagement and affective commitment. For indirect effects, this study found that affective commitment partially mediates the effect of empowering leadership on task performance. Meanwhile, work engagement failed to act as a mediator because it did not significantly impact strengthening task performance. Notably, the unexpected result of work engagement's inability to significantly boost task performance deviates from the prevailing trends observed in previous empirical research, thereby adding a novel dimension to the findings of this study.Mediating role of engagement and commitment to bridge empowering leadership and task performance
Anis Eliyana, Nurul Iman Abdul Jalil, Desynta Rahmawati Gunawan, Andika Setia Pratama
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research seeks to reveal the mediating role of work engagement and affective commitment as individual aspects that have the potential to bridge the effect of empowering leadership on the task performance of Correctional Service counselors in Indonesia, especially due to the limited literature on these two aspects in the context of public organizations.

Quantitative research was conducted on 350 counselors throughout Indonesia. The data was collected by distributing questionnaires online. The collected data were then analyzed using Structural Equation Modeling to test the seven research hypotheses.

Empowering leadership significantly strengthens task performance, work engagement and affective commitment. For indirect effects, this study found that affective commitment partially mediates the effect of empowering leadership on task performance. Meanwhile, work engagement failed to act as a mediator because it did not significantly impact strengthening task performance.

Notably, the unexpected result of work engagement's inability to significantly boost task performance deviates from the prevailing trends observed in previous empirical research, thereby adding a novel dimension to the findings of this study.

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Mediating role of engagement and commitment to bridge empowering leadership and task performance10.1108/K-02-2023-0315Kybernetes2023-12-01© 2023 Emerald Publishing LimitedAnis EliyanaNurul Iman Abdul JalilDesynta Rahmawati GunawanAndika Setia PratamaKybernetesahead-of-printahead-of-print2023-12-0110.1108/K-02-2023-0315https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0315/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Navigating the research-oriented university from perspective of uncertainty reduction theory: the impact of strategic HRM on new facultyhttps://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0337/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to examine the relationship between positive emotion, self-efficacy, job satisfaction and turnover intention in the context of resource building during the socialization process of new faculty members, particularly in the context of the coronavirus disease 2019 (COVID-19) pandemic. The study utilizes a quantitative research design and employs purposive sampling to obtain 554 valid questionnaires. The study analyzes the relationship between positive emotion, self-efficacy, job satisfaction and turnover intention and examines the influence of strategic human resource management (SHRM) on these variables. The results of the study reveal that SHRM positively influences positive emotion and self-efficacy, which, in turn, positively impact job satisfaction. However, positive emotion is negatively related to turnover intention. This study contributes to the existing literature on human resource management (HRM) by examining the impact of strategic HRM on the socialization process of new faculty members. The findings of the study have significant practical implications for the implementation of HRM in research-oriented universities.Navigating the research-oriented university from perspective of uncertainty reduction theory: the impact of strategic HRM on new faculty
Michael Yao Ping Peng, Meng-Hsiu Lee, Ya-Hui Huang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to examine the relationship between positive emotion, self-efficacy, job satisfaction and turnover intention in the context of resource building during the socialization process of new faculty members, particularly in the context of the coronavirus disease 2019 (COVID-19) pandemic.

The study utilizes a quantitative research design and employs purposive sampling to obtain 554 valid questionnaires. The study analyzes the relationship between positive emotion, self-efficacy, job satisfaction and turnover intention and examines the influence of strategic human resource management (SHRM) on these variables.

The results of the study reveal that SHRM positively influences positive emotion and self-efficacy, which, in turn, positively impact job satisfaction. However, positive emotion is negatively related to turnover intention.

This study contributes to the existing literature on human resource management (HRM) by examining the impact of strategic HRM on the socialization process of new faculty members. The findings of the study have significant practical implications for the implementation of HRM in research-oriented universities.

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Navigating the research-oriented university from perspective of uncertainty reduction theory: the impact of strategic HRM on new faculty10.1108/K-02-2023-0337Kybernetes2023-08-22© 2023 Emerald Publishing LimitedMichael Yao Ping PengMeng-Hsiu LeeYa-Hui HuangKybernetesahead-of-printahead-of-print2023-08-2210.1108/K-02-2023-0337https://www.emerald.com/insight/content/doi/10.1108/K-02-2023-0337/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Unlocking the complementary effects of multiple strategic orientations on firm performance: an interplay of entrepreneurial, sustainability and market orientationhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2022-0319/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate how the interplay of multiple strategic orientations influences the growth-based performance of small and medium enterprises (SMEs). The authors have specifically examined the direct and complementary effects of multiple strategic orientations [i.e. entrepreneurial orientation (EO), market orientation (MO) and sustainability orientation (SO)] on firm performance. The data have been collected from 410 SMEs operating in Pakistan. The results revealed that the multiple strategic orientations (EO, SO and MO) have positive direct as well as complementary effects on SMEs' growth-based performance. Specifically, the joint effects of EO and MO were shown higher than other combinations and complementarities. Moreover, the direct effect of SO is found far lesser than the joint implementation of SO with either EO or MO. This study provides key insights into corporate sustainability, strategic orientations and SME performance literature. The implications for theory, practice, policy and future research are discussed.Unlocking the complementary effects of multiple strategic orientations on firm performance: an interplay of entrepreneurial, sustainability and market orientation
Hafiz Muhammad Usman Khizar, Jawad Iqbal, Junaid Khalid, Zahid Hameed
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to investigate how the interplay of multiple strategic orientations influences the growth-based performance of small and medium enterprises (SMEs). The authors have specifically examined the direct and complementary effects of multiple strategic orientations [i.e. entrepreneurial orientation (EO), market orientation (MO) and sustainability orientation (SO)] on firm performance.

The data have been collected from 410 SMEs operating in Pakistan.

The results revealed that the multiple strategic orientations (EO, SO and MO) have positive direct as well as complementary effects on SMEs' growth-based performance. Specifically, the joint effects of EO and MO were shown higher than other combinations and complementarities. Moreover, the direct effect of SO is found far lesser than the joint implementation of SO with either EO or MO.

This study provides key insights into corporate sustainability, strategic orientations and SME performance literature. The implications for theory, practice, policy and future research are discussed.

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Unlocking the complementary effects of multiple strategic orientations on firm performance: an interplay of entrepreneurial, sustainability and market orientation10.1108/K-03-2022-0319Kybernetes2023-02-28© 2023 Emerald Publishing LimitedHafiz Muhammad Usman KhizarJawad IqbalJunaid KhalidZahid HameedKybernetesahead-of-printahead-of-print2023-02-2810.1108/K-03-2022-0319https://www.emerald.com/insight/content/doi/10.1108/K-03-2022-0319/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The efficiency evaluation and influencing factor analysis of regional green innovation: a refined dynamic network slacks-based measure approachhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2022-0420/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic research, applied research and commercialization stages and explore the influencing factors of the stage efficiency. A two-step procedure is employed. The first step proposes an improved DNSBM model with flexible settings of stages' input or output efficiency and uses second order cone programming (SOCP) to solve the non-linear problem. In the second step, least absolute shrinkage and selection operator (LASSO) and Tobit models are used to explore the influencing factors of the stage efficiency. Global Dynamic Malmquist Productivity Index (GDMPI) and Dagum Gini coefficient decomposition method are introduced for further discussion of the productivity change and regional differences. On average, Chinese provincial green innovation efficiency should be improved by 24.11% to become efficient. The commercialization stage outperforms the stages of basic research and applied research. Comparisons between the proposed model and input-oriented, output-oriented and non-oriented DNSBM models show that the proposed model is more advanced because it allows some stages to have output-oriented model characteristics while the other stages have input-oriented model characteristics. The examination of the influencing factors reveals that the three stages of the green innovation system have quite diverse influencing factors. Further discussion reveals that Chinese green innovation productivity has increased by 39.85%, which is driven mainly by technology progress, and the increasing tendency of regional differences between northern and southern China should be paid attention to. This study proposes an improved dynamic three-stage slacks-based measure (SBM) model that allows calculating output efficiency in some stages and input efficiency in the other stages with the application of SOCP approach. In order to capture productivity change, this study develops a GDMPI based on the DNSBM model. In practice, the efficiency of regional green innovation in China and the factors that influence each stage are examined.The efficiency evaluation and influencing factor analysis of regional green innovation: a refined dynamic network slacks-based measure approach
Zerun Fang, Wenlin Gui, Zhaozhou Han, Lan Lan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic research, applied research and commercialization stages and explore the influencing factors of the stage efficiency.

A two-step procedure is employed. The first step proposes an improved DNSBM model with flexible settings of stages' input or output efficiency and uses second order cone programming (SOCP) to solve the non-linear problem. In the second step, least absolute shrinkage and selection operator (LASSO) and Tobit models are used to explore the influencing factors of the stage efficiency. Global Dynamic Malmquist Productivity Index (GDMPI) and Dagum Gini coefficient decomposition method are introduced for further discussion of the productivity change and regional differences.

On average, Chinese provincial green innovation efficiency should be improved by 24.11% to become efficient. The commercialization stage outperforms the stages of basic research and applied research. Comparisons between the proposed model and input-oriented, output-oriented and non-oriented DNSBM models show that the proposed model is more advanced because it allows some stages to have output-oriented model characteristics while the other stages have input-oriented model characteristics. The examination of the influencing factors reveals that the three stages of the green innovation system have quite diverse influencing factors. Further discussion reveals that Chinese green innovation productivity has increased by 39.85%, which is driven mainly by technology progress, and the increasing tendency of regional differences between northern and southern China should be paid attention to.

This study proposes an improved dynamic three-stage slacks-based measure (SBM) model that allows calculating output efficiency in some stages and input efficiency in the other stages with the application of SOCP approach. In order to capture productivity change, this study develops a GDMPI based on the DNSBM model. In practice, the efficiency of regional green innovation in China and the factors that influence each stage are examined.

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The efficiency evaluation and influencing factor analysis of regional green innovation: a refined dynamic network slacks-based measure approach10.1108/K-03-2022-0420Kybernetes2023-03-23© 2022 Emerald Publishing LimitedZerun FangWenlin GuiZhaozhou HanLan LanKybernetesahead-of-printahead-of-print2023-03-2310.1108/K-03-2022-0420https://www.emerald.com/insight/content/doi/10.1108/K-03-2022-0420/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Impact of responsible leadership on sustainable performance: a moderated mediation modelhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0342/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe increased interest of the industrial sector in sustainable concepts and leadership has lagged behind conceptual advancement. Leaders are increasingly being pushed to encourage sustainable performance. In order to examine the relationship between responsible leadership and sustainable performance, this research creates a model based on the logic of RL performance, with the concurrent mediation of epistemic motivation and moderating role of sustainable climate. The current research analyzed a sample of 520 respondents from employees recruited from public sector organizations in Pakistan who were full-time employees in Punjab province in three waves with an interval of two weeks in each wave. To collect data, the scales are adapted from past studies that were relevant to this study. The data received from the survey questionnaire are analyzed using SEM. The study's findings demonstrate a significant as well as positive association between RL and SP with β = 0.298 and p < 0.001. Further, a significant mediating impact of epistemic motivation on the relationship between RL and sustainable performance with β = 0.238 and p < 0.001 is also evident. Epistemic motivation is an important mediator because transparency in knowledge held massive importance to get sustainable outcomes and is predominant factor to exert his/her efforts. The research shows some theoretical and practical implications. To achieve the aims of sustainable development, organizations should first encourage responsible leadership behaviors. By establishing a shared vision and goals, top management can encourage responsible leadership techniques within their jurisdiction. In order to encourage responsible leadership behaviors, organizations should seek to create capacity at both organizational and social levels. It will change employee attitudes and provide the knowledge needed to achieve sustainable development objectives. This is one of the initial studies to examine the relationship between responsible leadership and sustainable performance. Further, the concept of social exchange theory is used to understand sustainable performance from a comprehensive standpoint.Impact of responsible leadership on sustainable performance: a moderated mediation model
Chunhui Huo, Muhammad Arslan Safdar, Misbah Ahmed
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The increased interest of the industrial sector in sustainable concepts and leadership has lagged behind conceptual advancement. Leaders are increasingly being pushed to encourage sustainable performance. In order to examine the relationship between responsible leadership and sustainable performance, this research creates a model based on the logic of RL performance, with the concurrent mediation of epistemic motivation and moderating role of sustainable climate.

The current research analyzed a sample of 520 respondents from employees recruited from public sector organizations in Pakistan who were full-time employees in Punjab province in three waves with an interval of two weeks in each wave. To collect data, the scales are adapted from past studies that were relevant to this study. The data received from the survey questionnaire are analyzed using SEM.

The study's findings demonstrate a significant as well as positive association between RL and SP with β = 0.298 and p < 0.001. Further, a significant mediating impact of epistemic motivation on the relationship between RL and sustainable performance with β = 0.238 and p < 0.001 is also evident. Epistemic motivation is an important mediator because transparency in knowledge held massive importance to get sustainable outcomes and is predominant factor to exert his/her efforts.

The research shows some theoretical and practical implications. To achieve the aims of sustainable development, organizations should first encourage responsible leadership behaviors. By establishing a shared vision and goals, top management can encourage responsible leadership techniques within their jurisdiction. In order to encourage responsible leadership behaviors, organizations should seek to create capacity at both organizational and social levels. It will change employee attitudes and provide the knowledge needed to achieve sustainable development objectives.

This is one of the initial studies to examine the relationship between responsible leadership and sustainable performance. Further, the concept of social exchange theory is used to understand sustainable performance from a comprehensive standpoint.

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Impact of responsible leadership on sustainable performance: a moderated mediation model10.1108/K-03-2023-0342Kybernetes2023-08-25© 2023 Emerald Publishing LimitedChunhui HuoMuhammad Arslan SafdarMisbah AhmedKybernetesahead-of-printahead-of-print2023-08-2510.1108/K-03-2023-0342https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0342/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A systematic literature review of weak signal identification and evolution for corporate foresighthttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0343/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research. The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods. The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms. The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.A systematic literature review of weak signal identification and evolution for corporate foresight
Dongyuan Zhao, Zhongjun Tang, Duokui He
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.

The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.

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A systematic literature review of weak signal identification and evolution for corporate foresight10.1108/K-03-2023-0343Kybernetes2023-05-02© 2023 Emerald Publishing LimitedDongyuan ZhaoZhongjun TangDuokui HeKybernetesahead-of-printahead-of-print2023-05-0210.1108/K-03-2023-0343https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0343/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
An analysis of reward mechanism and knowledge sharing for crowdsourcing-based open innovation contesthttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0350/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to investigate both the impact of different reward types and the adoption of knowledge-sharing practice on a crowdsourcing-based open innovation contest. Despite the benefit of knowledge sharing, contestants could struggle to find a balance between knowledge sharing and knowledge protection in open innovation. The authors' approach follows a stylised contest model in a game-theoretical setting in which contestants first decide on their efforts and then the contest sponsor chooses the winner. Moreover, the outcome of an open innovation contest is delineated as either intermediate goods that require further refinement and risk-taking versus a market-ready end product for the contest sponsor. The authors also investigate how knowledge sharing among contestants would be influenced by reward types such as fixed-monetary prizes vs performance-contingent awards. The contest sponsor will lower the prize level after adopting knowledge sharing. Therefore, the total effort will decline regardless of the reward type. Moreover, the choice of reward types depends on the contest sponsor's characteristics because the performance-contingent award is suitable for a large market size but the fixed-monetary prize can more efficiently raise the quantity of contestant inputs. Prior studies have tested the connection between contest performance and knowledge sharing in crowdsourcing-based contests; however, there is not an integrated framework to best design the operation of a contest when considering different reward types and knowledge-sharing practices.An analysis of reward mechanism and knowledge sharing for crowdsourcing-based open innovation contest
Jhih-Hua Jhang-Li, I. Robert Chiang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to investigate both the impact of different reward types and the adoption of knowledge-sharing practice on a crowdsourcing-based open innovation contest. Despite the benefit of knowledge sharing, contestants could struggle to find a balance between knowledge sharing and knowledge protection in open innovation.

The authors' approach follows a stylised contest model in a game-theoretical setting in which contestants first decide on their efforts and then the contest sponsor chooses the winner. Moreover, the outcome of an open innovation contest is delineated as either intermediate goods that require further refinement and risk-taking versus a market-ready end product for the contest sponsor. The authors also investigate how knowledge sharing among contestants would be influenced by reward types such as fixed-monetary prizes vs performance-contingent awards.

The contest sponsor will lower the prize level after adopting knowledge sharing. Therefore, the total effort will decline regardless of the reward type. Moreover, the choice of reward types depends on the contest sponsor's characteristics because the performance-contingent award is suitable for a large market size but the fixed-monetary prize can more efficiently raise the quantity of contestant inputs.

Prior studies have tested the connection between contest performance and knowledge sharing in crowdsourcing-based contests; however, there is not an integrated framework to best design the operation of a contest when considering different reward types and knowledge-sharing practices.

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An analysis of reward mechanism and knowledge sharing for crowdsourcing-based open innovation contest10.1108/K-03-2023-0350Kybernetes2023-11-03© 2023 Emerald Publishing LimitedJhih-Hua Jhang-LiI. Robert ChiangKybernetesahead-of-printahead-of-print2023-11-0310.1108/K-03-2023-0350https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0350/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Forecasting crude oil futures using an ensemble model including investor sentiment and attentionhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0364/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSince crude oil is crucial to the nation's economic growth, crude oil futures are closely related to many other markets. Accurate forecasting can offer investors trustworthy guidance. Numerous studies have begun to consider creating new metrics from social networks to improve forecasting models in light of their rapid development. To improve the forecasting of crude oil futures, the authors suggest an integrated model that combines investor sentiment and attention. This study first creates investor attention variables using Baidu search indices and investor sentiment variables for medium sulfur crude oil (SC) futures by collecting comments from financial forums. The authors feed the price series into the NeuralProphet model to generate a new feature set using the output subsequences and predicted values. Next, the authors use the CatBoost model to extract additional features from the new feature set and perform multi-step predictions. Finally, the authors explain the model using Shapley additive explanations (SHAP) values and examine the direction and magnitude of each variable's influence. The authors conduct forecasting experiments for SC futures one, two and three days in advance to evaluate the effectiveness of the proposed model. The empirical results show that the model is a reliable and effective tool for predicting, and including investor sentiment and attention variables in the model enhances its predictive power. The data analyzed in this paper span from 2018 through 2022, and the forecast objectives only apply to futures prices for those years. If the authors alter the sample data, the experimental process must be repeated, and the outcomes will differ. Additionally, because crude oil has financial characteristics, its price is influenced by various external circumstances, including global epidemics and adjustments in political and economic policies. Future studies could consider these factors in models to forecast crude oil futures price volatility. In conclusion, the proposed integrated model provides effective multistep forecasts for SC futures, and the findings will offer crucial practical guidance for policymakers and investors. This study also considers other relevant markets, such as stocks and exchange rates, to increase the forecast precision of the model. Furthermore, the model proposed in this paper, which combines investor factors, confirms the predictive ability of investor sentiment. Regulators can utilize these findings to improve their ability to predict market risks based on changes in investor sentiment. Future research can improve predictive effectiveness by considering the inclusion of macro events and further model optimization. Additionally, this model can be adapted to forecast other financial markets, such as stock markets and other futures products. The authors propose a novel integrated model that considers investor factors to enhance the accuracy of crude oil futures forecasting. This method can also be applied to other financial markets to improve their forecasting efficiency.Forecasting crude oil futures using an ensemble model including investor sentiment and attention
Xiying Yao, Xuetao Yang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Since crude oil is crucial to the nation's economic growth, crude oil futures are closely related to many other markets. Accurate forecasting can offer investors trustworthy guidance. Numerous studies have begun to consider creating new metrics from social networks to improve forecasting models in light of their rapid development. To improve the forecasting of crude oil futures, the authors suggest an integrated model that combines investor sentiment and attention.

This study first creates investor attention variables using Baidu search indices and investor sentiment variables for medium sulfur crude oil (SC) futures by collecting comments from financial forums. The authors feed the price series into the NeuralProphet model to generate a new feature set using the output subsequences and predicted values. Next, the authors use the CatBoost model to extract additional features from the new feature set and perform multi-step predictions. Finally, the authors explain the model using Shapley additive explanations (SHAP) values and examine the direction and magnitude of each variable's influence.

The authors conduct forecasting experiments for SC futures one, two and three days in advance to evaluate the effectiveness of the proposed model. The empirical results show that the model is a reliable and effective tool for predicting, and including investor sentiment and attention variables in the model enhances its predictive power.

The data analyzed in this paper span from 2018 through 2022, and the forecast objectives only apply to futures prices for those years. If the authors alter the sample data, the experimental process must be repeated, and the outcomes will differ. Additionally, because crude oil has financial characteristics, its price is influenced by various external circumstances, including global epidemics and adjustments in political and economic policies. Future studies could consider these factors in models to forecast crude oil futures price volatility.

In conclusion, the proposed integrated model provides effective multistep forecasts for SC futures, and the findings will offer crucial practical guidance for policymakers and investors. This study also considers other relevant markets, such as stocks and exchange rates, to increase the forecast precision of the model. Furthermore, the model proposed in this paper, which combines investor factors, confirms the predictive ability of investor sentiment. Regulators can utilize these findings to improve their ability to predict market risks based on changes in investor sentiment. Future research can improve predictive effectiveness by considering the inclusion of macro events and further model optimization. Additionally, this model can be adapted to forecast other financial markets, such as stock markets and other futures products.

The authors propose a novel integrated model that considers investor factors to enhance the accuracy of crude oil futures forecasting. This method can also be applied to other financial markets to improve their forecasting efficiency.

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Forecasting crude oil futures using an ensemble model including investor sentiment and attention10.1108/K-03-2023-0364Kybernetes2023-09-22© 2023 Emerald Publishing LimitedXiying YaoXuetao YangKybernetesahead-of-printahead-of-print2023-09-2210.1108/K-03-2023-0364https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0364/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Intuitionistic fuzzy gained and lost dominance score based on symmetric point criterion to prioritize zero-carbon measures for sustainable urban transportationhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0380/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAchieving a zero-carbon city requires a long-term strategic perspective. The authors propose a decision-making model which would take into account the economic, environmental and social impacts for prioritizing the zero-carbon measures for sustainable urban transportation. An integrated intuitionistic fuzzy gained and lost dominance score (IF-GLDS) model is introduced based on intuitionistic fuzzy Yager weighted aggregation (IFYWA) operators and proposed weight-determining IF-SPC procedure. In addition, a weighting tool is presented to obtain the weights of decision experts. Further, the feasibility and efficacy of developed IF-SPC-GLDS model is implemented on a multi-criteria investment company selection problem under IFS context. The results of the developed model, “introducing zero-emission zones” should be considered as the first measure to implement. The preference of this initiative offers sustainable transport in India to achieve a zero-carbon transport by having the greatest impact on the modal shift from cars to sustainable mobility modes with a lower operational and implementation cost as well as having greater public support. The developed model utilized can be relocated to other smart cities which aim to achieve a zero-carbon transport. Sensitivity and comparative analyses are discussed to reveal the robustness of obtained result. The outcomes show the feasibility of the developed methodology which yields second company as the suitable choice, when compared to and validated using the other MCDA methods from the literature, including TOPSIS, COPRAS, WASPAS and CoCoSo with intuitionistic fuzzy information. A new intuitionistic fuzzy symmetry point of criterion (IF-SPC) approach is presented to find weights of criteria under IFSs setting. Then, an IF-GLDS model is introduced using IFYWA operators to rank the options in the realistic multi-criteria decision analysis (MCDA) procedure. For this purpose, the IFYWA operators and their properties are developed to combine the IFNs. These operators can offer a flexible way to deal with the realistic MCDA problems with IFS context.Intuitionistic fuzzy gained and lost dominance score based on symmetric point criterion to prioritize zero-carbon measures for sustainable urban transportation
Ibrahim M. Hezam, Debananda Basua, Arunodaya Raj Mishra, Pratibha Rani, Fausto Cavallaro
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Achieving a zero-carbon city requires a long-term strategic perspective. The authors propose a decision-making model which would take into account the economic, environmental and social impacts for prioritizing the zero-carbon measures for sustainable urban transportation.

An integrated intuitionistic fuzzy gained and lost dominance score (IF-GLDS) model is introduced based on intuitionistic fuzzy Yager weighted aggregation (IFYWA) operators and proposed weight-determining IF-SPC procedure. In addition, a weighting tool is presented to obtain the weights of decision experts. Further, the feasibility and efficacy of developed IF-SPC-GLDS model is implemented on a multi-criteria investment company selection problem under IFS context.

The results of the developed model, “introducing zero-emission zones” should be considered as the first measure to implement. The preference of this initiative offers sustainable transport in India to achieve a zero-carbon transport by having the greatest impact on the modal shift from cars to sustainable mobility modes with a lower operational and implementation cost as well as having greater public support. The developed model utilized can be relocated to other smart cities which aim to achieve a zero-carbon transport. Sensitivity and comparative analyses are discussed to reveal the robustness of obtained result. The outcomes show the feasibility of the developed methodology which yields second company as the suitable choice, when compared to and validated using the other MCDA methods from the literature, including TOPSIS, COPRAS, WASPAS and CoCoSo with intuitionistic fuzzy information.

A new intuitionistic fuzzy symmetry point of criterion (IF-SPC) approach is presented to find weights of criteria under IFSs setting. Then, an IF-GLDS model is introduced using IFYWA operators to rank the options in the realistic multi-criteria decision analysis (MCDA) procedure. For this purpose, the IFYWA operators and their properties are developed to combine the IFNs. These operators can offer a flexible way to deal with the realistic MCDA problems with IFS context.

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Intuitionistic fuzzy gained and lost dominance score based on symmetric point criterion to prioritize zero-carbon measures for sustainable urban transportation10.1108/K-03-2023-0380Kybernetes2023-06-08© 2023 Emerald Publishing LimitedIbrahim M. HezamDebananda BasuaArunodaya Raj MishraPratibha RaniFausto CavallaroKybernetesahead-of-printahead-of-print2023-06-0810.1108/K-03-2023-0380https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0380/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring the impact of partner match on business model innovation: the mediating role of interfirm dynamic capabilities-based on ecosystem orchestration perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0382/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWithin the context of an open innovation business environment, the frequent interaction and coordination activities among heterogeneous partners have a significant impact on enterprises' business model. Nevertheless, fewer empirical research has been made to explore how to match external partners and update organizational dynamic capabilities at an ecosystem level. Therefore, this paper attempts not only to investigate the direct impact of partner match on different business model innovation (BMI) themes (efficiency-centered BMI and novelty-centered BMI) but only to shed light on the pivotal mediating role of interfirm dynamic capabilities. This paper utilized the methodology of Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the impact of diverse partner selection criteria and interfirm dynamic capabilities on two distinctive themes of BMI. More than 20 industry clusters with multiple industries were selected as representatives of the creative ecosystem, predominantly from the Yangtze River Delta region. Valid data were collected from 254 managers by both online questionnaires and offline interviews. The findings of the study show that different partner match criteria have distinct direct impacts on BMI themes. Partner complementary and partner synergy, deriving from the “task-related criteria”, are significantly correlated with both EBMI and NBMI. Conversely, partner compatibility, deriving from “Partnering-related Criteria”, shows a positive correlation with EBMI but not NBMI. Furthermore, compare the indirect effect on EBMI, the paper’ results demonstrate interfirm dynamic capabilities as mediator can more maximize external benefits to promote NBMI. The study findings effectively help enterprises implement different BMI themes. From a management perspective, whether pursuing EBMI or NBMI, enterprises should consciously seek partners who can provide complementary support or share mutual goals across diverse industries. This strategic approach can significantly enhance the opportunities for sustainable and innovative business development. Furthermore, to successfully accomplish NBMI, enterprises must cultivate interfirm dynamic capabilities encompassing a comprehensive range of cross-organizational innovation capacities, such as bolstering organizational learning capability, establishing interactive network platforms to enhance coordination capabilities and engaging in integrative activities to foster a collective mindset. This paper contributes to the match theory by introducing three critical matching criteria, enabling enterprises to discern partners based on diverse organizational characteristics. Additionally, this paper broadens the scope of the dynamic capability literature by adopting a network perspective to strengthen interaction and relationship mechanisms. The authors primarily elucidate the concept of interfirm dynamic capabilities as a formative higher-order model formed by three sub-capabilities (absorptive capacity, coordination capability and collective mind). Finally, this paper combines matching theory with dynamic capacity theory to the field of BMI, which adds depth and complexity to the existing ecosystem innovation research.Exploring the impact of partner match on business model innovation: the mediating role of interfirm dynamic capabilities-based on ecosystem orchestration perspective
Lei Shen, Yue Liu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Within the context of an open innovation business environment, the frequent interaction and coordination activities among heterogeneous partners have a significant impact on enterprises' business model. Nevertheless, fewer empirical research has been made to explore how to match external partners and update organizational dynamic capabilities at an ecosystem level. Therefore, this paper attempts not only to investigate the direct impact of partner match on different business model innovation (BMI) themes (efficiency-centered BMI and novelty-centered BMI) but only to shed light on the pivotal mediating role of interfirm dynamic capabilities.

This paper utilized the methodology of Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the impact of diverse partner selection criteria and interfirm dynamic capabilities on two distinctive themes of BMI. More than 20 industry clusters with multiple industries were selected as representatives of the creative ecosystem, predominantly from the Yangtze River Delta region. Valid data were collected from 254 managers by both online questionnaires and offline interviews.

The findings of the study show that different partner match criteria have distinct direct impacts on BMI themes. Partner complementary and partner synergy, deriving from the “task-related criteria”, are significantly correlated with both EBMI and NBMI. Conversely, partner compatibility, deriving from “Partnering-related Criteria”, shows a positive correlation with EBMI but not NBMI. Furthermore, compare the indirect effect on EBMI, the paper’ results demonstrate interfirm dynamic capabilities as mediator can more maximize external benefits to promote NBMI.

The study findings effectively help enterprises implement different BMI themes. From a management perspective, whether pursuing EBMI or NBMI, enterprises should consciously seek partners who can provide complementary support or share mutual goals across diverse industries. This strategic approach can significantly enhance the opportunities for sustainable and innovative business development. Furthermore, to successfully accomplish NBMI, enterprises must cultivate interfirm dynamic capabilities encompassing a comprehensive range of cross-organizational innovation capacities, such as bolstering organizational learning capability, establishing interactive network platforms to enhance coordination capabilities and engaging in integrative activities to foster a collective mindset.

This paper contributes to the match theory by introducing three critical matching criteria, enabling enterprises to discern partners based on diverse organizational characteristics. Additionally, this paper broadens the scope of the dynamic capability literature by adopting a network perspective to strengthen interaction and relationship mechanisms. The authors primarily elucidate the concept of interfirm dynamic capabilities as a formative higher-order model formed by three sub-capabilities (absorptive capacity, coordination capability and collective mind). Finally, this paper combines matching theory with dynamic capacity theory to the field of BMI, which adds depth and complexity to the existing ecosystem innovation research.

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Exploring the impact of partner match on business model innovation: the mediating role of interfirm dynamic capabilities-based on ecosystem orchestration perspective10.1108/K-03-2023-0382Kybernetes2023-11-17© 2023 Emerald Publishing LimitedLei ShenYue LiuKybernetesahead-of-printahead-of-print2023-11-1710.1108/K-03-2023-0382https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0382/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Investigating the impact of power outages on sustainable community development: exploring the local community’s perception in Pakistanhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0383/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the present study is to investigate the community’s view of power outages and their effect on sustainable community development. This research has three aims. This project will first investigate how a blackout affects a community’s ability to live sustainably. A survey questionnaire was developed that included 22 factors from the literature. The questionnaire was distributed to diversified segments of society from different regions of Pakistan and examined critical factors affecting sustainable community development. A total of 349 (77%) responses were received. The study results confirm that power failure negatively affects the sustainable life of a community. This study found that the reduced production of large manufacturing, decrease leisure and comfort, reduced public administrative efficiency, loss of educational opportunities and increased use of traditional energy sources are the most important factors for sustainable community development. Findings also suggest that policymakers and practitioners in public organizations need to ensure that projects are completed in a timely manner to meet growing community needs. The purpose of this research is to address knowledge gaps related to power outages and sustainable community development. The major impact of power disruptions on communities was previously disregarded in development discourse. Participants in these discussions recognize communities as genuine stakeholders and acknowledge that power outages can have a substantial impact on their economic and social development. However, previous studies have neglected to address this phenomenon.Investigating the impact of power outages on sustainable community development: exploring the local community’s perception in Pakistan
Zaigham Ali, Ammar Hussain, Shahid Hussain
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the present study is to investigate the community’s view of power outages and their effect on sustainable community development. This research has three aims. This project will first investigate how a blackout affects a community’s ability to live sustainably.

A survey questionnaire was developed that included 22 factors from the literature. The questionnaire was distributed to diversified segments of society from different regions of Pakistan and examined critical factors affecting sustainable community development. A total of 349 (77%) responses were received.

The study results confirm that power failure negatively affects the sustainable life of a community. This study found that the reduced production of large manufacturing, decrease leisure and comfort, reduced public administrative efficiency, loss of educational opportunities and increased use of traditional energy sources are the most important factors for sustainable community development. Findings also suggest that policymakers and practitioners in public organizations need to ensure that projects are completed in a timely manner to meet growing community needs.

The purpose of this research is to address knowledge gaps related to power outages and sustainable community development. The major impact of power disruptions on communities was previously disregarded in development discourse. Participants in these discussions recognize communities as genuine stakeholders and acknowledge that power outages can have a substantial impact on their economic and social development. However, previous studies have neglected to address this phenomenon.

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Investigating the impact of power outages on sustainable community development: exploring the local community’s perception in Pakistan10.1108/K-03-2023-0383Kybernetes2023-05-16© 2023 Emerald Publishing LimitedZaigham AliAmmar HussainShahid HussainKybernetesahead-of-printahead-of-print2023-05-1610.1108/K-03-2023-0383https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0383/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Grounded theory approach to non-market strategy and organizational resilience: the case of Chinese private enterprisehttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0386/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to explore the relationship between non-market strategies and organizational resilience, using a Chinese private enterprise as an example. This study collected data through semi-structured interviews and analyzed them through grounded theory, using a three-step approach of open coding, axial coding and selective coding to analyze and construct a model of the mechanism of the impact of non-market strategies on organizational resilience. The following conclusions were drawn from this study. (1) Stakeholders, internal and external environment and entrepreneurship are important motivations that influence private firms to implement non-market strategies to enhance organizational resilience, with entrepreneurship being the key driver. (2) Non-market strategies contain three dimensions, and different non-market behaviors have different mechanisms of action on the organizational resilience of firms. (3) Non-market strategies and organizational resilience form an interactive spiral relationship. This mutually reinforcing effect promotes firm growth and sustainable corporate development. The research results enrich the theoretical connotation of non-market strategies, construct a model of the mechanism of influence of non-market strategies on organizational resilience, and describe three explanatory paths for the relationship between the two–incentive mechanism, functional mechanism and transformation mechanism. This study's single case is unique and based on the Chinese context. In addition, this study adopts a rooted qualitative research approach and although the coding and model construction strictly follow the steps of grounded theory research, a degree of subjectivity is inevitable. On this basis, future research can adopt quantitative analysis methods to test and improve the model. This paper explores the important role of non-market strategies in the Chinese context under the impact of traditional market mechanisms, based on the perspective of Chinese private enterprises, and provides new insights and revelations for private enterprises to achieve sustainable development. This study innovatively explores the formation mechanism of organizational resilience from the perspective of non-market strategies, adding a new perspective to the literature. Additionally, it examines the mechanisms between long-term non-market strategy and organizational resilience, particularly their relationship in times of crisis, utilizing a rooted approach that goes beyond static analysis.Grounded theory approach to non-market strategy and organizational resilience: the case of Chinese private enterprise
Luyao Jiang, Yanan Sun, Hongbo Zhao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to explore the relationship between non-market strategies and organizational resilience, using a Chinese private enterprise as an example.

This study collected data through semi-structured interviews and analyzed them through grounded theory, using a three-step approach of open coding, axial coding and selective coding to analyze and construct a model of the mechanism of the impact of non-market strategies on organizational resilience.

The following conclusions were drawn from this study. (1) Stakeholders, internal and external environment and entrepreneurship are important motivations that influence private firms to implement non-market strategies to enhance organizational resilience, with entrepreneurship being the key driver. (2) Non-market strategies contain three dimensions, and different non-market behaviors have different mechanisms of action on the organizational resilience of firms. (3) Non-market strategies and organizational resilience form an interactive spiral relationship. This mutually reinforcing effect promotes firm growth and sustainable corporate development. The research results enrich the theoretical connotation of non-market strategies, construct a model of the mechanism of influence of non-market strategies on organizational resilience, and describe three explanatory paths for the relationship between the two–incentive mechanism, functional mechanism and transformation mechanism.

This study's single case is unique and based on the Chinese context. In addition, this study adopts a rooted qualitative research approach and although the coding and model construction strictly follow the steps of grounded theory research, a degree of subjectivity is inevitable. On this basis, future research can adopt quantitative analysis methods to test and improve the model.

This paper explores the important role of non-market strategies in the Chinese context under the impact of traditional market mechanisms, based on the perspective of Chinese private enterprises, and provides new insights and revelations for private enterprises to achieve sustainable development.

This study innovatively explores the formation mechanism of organizational resilience from the perspective of non-market strategies, adding a new perspective to the literature. Additionally, it examines the mechanisms between long-term non-market strategy and organizational resilience, particularly their relationship in times of crisis, utilizing a rooted approach that goes beyond static analysis.

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Grounded theory approach to non-market strategy and organizational resilience: the case of Chinese private enterprise10.1108/K-03-2023-0386Kybernetes2023-09-11© 2023 Emerald Publishing LimitedLuyao JiangYanan SunHongbo ZhaoKybernetesahead-of-printahead-of-print2023-09-1110.1108/K-03-2023-0386https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0386/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Not inspired enough: the mediating role of customer engagement between YouTube’s perceived advertising value and customer inspirationhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0387/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study investigates two important research questions. First, does YouTube advertising create value for customers to activate their inspired-by state (motivation), or does customer engagement in advertised brands have a mediating role? Second, does the inspired-by state influence customers’ inspired-to state (action) to purchase the advertised brand? This study employs Ducoffe’s advertising value model to investigate how customers’ engagement mediates perceived advertising value and their inspired-by state. The authors split customer inspiration into two primary states: inspired-by (i.e. the early interest in taking action) and inspired-to (i.e. the intention to act), demonstrating that the latter is positively influenced by the former. The study employs SmartPLS V3.2.9 to analyze survey data from 360 respondents in Pakistan – an emerging market. This study found that informativeness, entertainment, creativity and incentives exerted a significant positive impact on perceived advertising value. The perceived advertising value of YouTube ads fails to influence customers’ inspired-by state directly; however, customer engagement positively mediates the relationship between the perceived advertising value of YouTube and customers’ inspired-by state. Finally, the customers’ inspired-by state is successfully converted into an inspired-to state. This study has numerous practical implications for advertisers and marketers seeking to optimize social media advertising and marketing performance. YouTube ads shape consumer behavior, empowering informed choices; authentic engagement transforms the advertising landscape. This study is the first to examine the perceived advertising value of YouTube ads for eliciting customers’ inspired-by state, assessing the mediating role of customer engagement as a mechanism. Moreover, the authors examine the role of customers’ inspired-by state as a predictor of the inspired-to state.Not inspired enough: the mediating role of customer engagement between YouTube’s perceived advertising value and customer inspiration
Muhammad Shahzeb Fayyaz, Amir Zaib Abbasi, Khurram Altaf, Nasser Alqahtani, Ding Hooi Ting
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study investigates two important research questions. First, does YouTube advertising create value for customers to activate their inspired-by state (motivation), or does customer engagement in advertised brands have a mediating role? Second, does the inspired-by state influence customers’ inspired-to state (action) to purchase the advertised brand?

This study employs Ducoffe’s advertising value model to investigate how customers’ engagement mediates perceived advertising value and their inspired-by state. The authors split customer inspiration into two primary states: inspired-by (i.e. the early interest in taking action) and inspired-to (i.e. the intention to act), demonstrating that the latter is positively influenced by the former. The study employs SmartPLS V3.2.9 to analyze survey data from 360 respondents in Pakistan – an emerging market.

This study found that informativeness, entertainment, creativity and incentives exerted a significant positive impact on perceived advertising value. The perceived advertising value of YouTube ads fails to influence customers’ inspired-by state directly; however, customer engagement positively mediates the relationship between the perceived advertising value of YouTube and customers’ inspired-by state. Finally, the customers’ inspired-by state is successfully converted into an inspired-to state.

This study has numerous practical implications for advertisers and marketers seeking to optimize social media advertising and marketing performance.

YouTube ads shape consumer behavior, empowering informed choices; authentic engagement transforms the advertising landscape.

This study is the first to examine the perceived advertising value of YouTube ads for eliciting customers’ inspired-by state, assessing the mediating role of customer engagement as a mechanism. Moreover, the authors examine the role of customers’ inspired-by state as a predictor of the inspired-to state.

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Not inspired enough: the mediating role of customer engagement between YouTube’s perceived advertising value and customer inspiration10.1108/K-03-2023-0387Kybernetes2023-11-17© 2023 Emerald Publishing LimitedMuhammad Shahzeb FayyazAmir Zaib AbbasiKhurram AltafNasser AlqahtaniDing Hooi TingKybernetesahead-of-printahead-of-print2023-11-1710.1108/K-03-2023-0387https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0387/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Does personal mastery lead to creativity for complex jobs: a moderated mediation modelhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0390/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the study was to determine the relationship between personal mastery orientation and employee creativity through internalized extrinsic motivation (identified regulation) and intrinsic motivation while testing job complexity as a boundary condition. The authors tested this study model using a cross-sectional design with a sample of (N = 361). The study population was software developers from across different cities of Pakistan. Respondents were asked to rate themselves on creative behavior. Partial least square structural equation (PLS-SEM) and PROCESS macro were used for data analysis. The results of the study confirm that personal mastery orientation positively affects employee creativity. Furthermore, both identified regulation and intrinsic motivation mediate the relationship between personal mastery and employee creativity. Job complexity was shown to moderate the direct relationship between personal mastery, identified regulation and intrinsic motivation such that for higher job complexity levels, the relationship between personal mastery and both types of motivation (identified and intrinsic) becomes stronger. The authors confirm that the indirect relationship between personal mastery and employee creativity through identified regulation was contingent upon job complexity level. In comparison, the indirect relationship between personal mastery and employee creativity through intrinsic motivation is not contingent upon the level of job complexity. There are a few limitations to the authors' study. The current study is based on a cross-sectional design; therefore, this is of limited causal value. The authors suggest the studies examining similar relations to this study model use a longitudinal design. The incumbent of the job reports creative behavior; therefore, this is susceptible to common method bias (CMB). A peer-reported or supervisor-reported creative behavior should be used to eliminate the CMB in future studies. The authors' study provides valuable input in identifying the complex mechanism through which creative behavior is induced involving individual personality disposition, job attributes and various types of motivations. In this study, the authors tried to reveal the mechanism through which personal mastery orientation predicts creative behavior. In the authors' endeavor of testing the motivational paths through which personal mastery orientation predicts creative behavior, the authors confirmed the efficacy of autonomous-complex motivation based on the self-determination framework. The authors' findings add to the evidence of the importance of intrinsic motivation in inducing creative behavior and recommend that the researcher should not ignore intrinsic motivation when exploring the effectiveness of extrinsic motivation. The study's findings strengthen the argument of the continuum-like structure of the motivation types under self-determination theory(SDT). The authors argued that intrinsic motivation is a relatively stable type of motivation when creative behavior is involved and is not contingent upon the job attributes. These findings add to the evidence that intrinsic motivation is stable compared to extrinsic motivation. Another important contribution of this study is that the authors identified a boundary condition for the internalized extrinsic motivation when serving as creativity predicting mechanism and ruled the presence of a conditional effect when intrinsic motivation is involved.Does personal mastery lead to creativity for complex jobs: a moderated mediation model
Adnan Fateh, Muhammad Zia Aslam, Fakhar Shahzad
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the study was to determine the relationship between personal mastery orientation and employee creativity through internalized extrinsic motivation (identified regulation) and intrinsic motivation while testing job complexity as a boundary condition.

The authors tested this study model using a cross-sectional design with a sample of (N = 361). The study population was software developers from across different cities of Pakistan. Respondents were asked to rate themselves on creative behavior. Partial least square structural equation (PLS-SEM) and PROCESS macro were used for data analysis.

The results of the study confirm that personal mastery orientation positively affects employee creativity. Furthermore, both identified regulation and intrinsic motivation mediate the relationship between personal mastery and employee creativity. Job complexity was shown to moderate the direct relationship between personal mastery, identified regulation and intrinsic motivation such that for higher job complexity levels, the relationship between personal mastery and both types of motivation (identified and intrinsic) becomes stronger. The authors confirm that the indirect relationship between personal mastery and employee creativity through identified regulation was contingent upon job complexity level. In comparison, the indirect relationship between personal mastery and employee creativity through intrinsic motivation is not contingent upon the level of job complexity.

There are a few limitations to the authors' study. The current study is based on a cross-sectional design; therefore, this is of limited causal value. The authors suggest the studies examining similar relations to this study model use a longitudinal design. The incumbent of the job reports creative behavior; therefore, this is susceptible to common method bias (CMB). A peer-reported or supervisor-reported creative behavior should be used to eliminate the CMB in future studies.

The authors' study provides valuable input in identifying the complex mechanism through which creative behavior is induced involving individual personality disposition, job attributes and various types of motivations. In this study, the authors tried to reveal the mechanism through which personal mastery orientation predicts creative behavior. In the authors' endeavor of testing the motivational paths through which personal mastery orientation predicts creative behavior, the authors confirmed the efficacy of autonomous-complex motivation based on the self-determination framework. The authors' findings add to the evidence of the importance of intrinsic motivation in inducing creative behavior and recommend that the researcher should not ignore intrinsic motivation when exploring the effectiveness of extrinsic motivation.

The study's findings strengthen the argument of the continuum-like structure of the motivation types under self-determination theory(SDT). The authors argued that intrinsic motivation is a relatively stable type of motivation when creative behavior is involved and is not contingent upon the job attributes. These findings add to the evidence that intrinsic motivation is stable compared to extrinsic motivation. Another important contribution of this study is that the authors identified a boundary condition for the internalized extrinsic motivation when serving as creativity predicting mechanism and ruled the presence of a conditional effect when intrinsic motivation is involved.

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Does personal mastery lead to creativity for complex jobs: a moderated mediation model10.1108/K-03-2023-0390Kybernetes2023-07-25© 2023 Emerald Publishing LimitedAdnan FatehMuhammad Zia AslamFakhar ShahzadKybernetesahead-of-printahead-of-print2023-07-2510.1108/K-03-2023-0390https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0390/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
An empirical study of continuous knowledge contribution of doctors in online medical communitieshttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0397/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestContinuous knowledge contribution behaviors (CKCB) are critical for the healthy development of online medical communities (OMCs). However, it is unclear that if and how contributors' prior actions and the responses they received from the community influence the nature of their future contributions. Drawing upon the Information Systems Continuance theory and Service Feedback theory, the purpose of the study is to examine the impact of knowledge contribution performance (KCP) on doctors' CKCB. Evaluation of social motivation, financial incentive and the moderating influence of expertise level (EL) provided further insight into the pathways that motivate various forms of CKCB. In order to better understand the CKCB of physicians in OMCs, the authors divided it into two categories: A_CKCB (active CKCB) and P_CKCB (passive CKCB). Information Systems Continuance theory and Service Feedback theory are adapted and integrated with empirical findings from previous research on OMCs to develop a model of CKCB. This study used ordinary least squares (OLS) regression to test hypotheses in the preexisting research model based on data collected from a Chinese OMC platform. The results show that KCP helps develop several facets of CKCB. According to the findings, doctors' CKCB improved dramatically after receiving feedback from A_CKCB and P_CKCB, but feedback from peers did not promote CKCB. This study found that financial rewards only have a significant positive effect on P_CKCB, and that the level of expertise has a negative effect on the effect. The findings also demonstrated that doctors' level of expertise moderates the relationship between fA_CKCB (a comprehensive evaluation of doctors' A_CKCB) and A_CKCB. Future studies should look at the role of self-efficacy as a mediator and attitudes as a moderator in the link between KCP and various forms of CKCB. This will help authors figure out how important KCP is for physicians' CKCB. And future research should use more than one way to gather data to prove the above roles. This study makes a significant contribution to understanding the association between CKCB and KCP by highlighting the significance of distinguishing between the various forms of CKCB and their underlying causes. This research has advanced both the theory and practice of OMCs' user management by illuminating the central role of KCP in this context.An empirical study of continuous knowledge contribution of doctors in online medical communities
Dandan Wen, Jianhua Zhang, Fredrick Ahenkora Boamah, Yilin Liu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Continuous knowledge contribution behaviors (CKCB) are critical for the healthy development of online medical communities (OMCs). However, it is unclear that if and how contributors' prior actions and the responses they received from the community influence the nature of their future contributions. Drawing upon the Information Systems Continuance theory and Service Feedback theory, the purpose of the study is to examine the impact of knowledge contribution performance (KCP) on doctors' CKCB. Evaluation of social motivation, financial incentive and the moderating influence of expertise level (EL) provided further insight into the pathways that motivate various forms of CKCB.

In order to better understand the CKCB of physicians in OMCs, the authors divided it into two categories: A_CKCB (active CKCB) and P_CKCB (passive CKCB). Information Systems Continuance theory and Service Feedback theory are adapted and integrated with empirical findings from previous research on OMCs to develop a model of CKCB. This study used ordinary least squares (OLS) regression to test hypotheses in the preexisting research model based on data collected from a Chinese OMC platform.

The results show that KCP helps develop several facets of CKCB. According to the findings, doctors' CKCB improved dramatically after receiving feedback from A_CKCB and P_CKCB, but feedback from peers did not promote CKCB. This study found that financial rewards only have a significant positive effect on P_CKCB, and that the level of expertise has a negative effect on the effect. The findings also demonstrated that doctors' level of expertise moderates the relationship between fA_CKCB (a comprehensive evaluation of doctors' A_CKCB) and A_CKCB.

Future studies should look at the role of self-efficacy as a mediator and attitudes as a moderator in the link between KCP and various forms of CKCB. This will help authors figure out how important KCP is for physicians' CKCB. And future research should use more than one way to gather data to prove the above roles.

This study makes a significant contribution to understanding the association between CKCB and KCP by highlighting the significance of distinguishing between the various forms of CKCB and their underlying causes.

This research has advanced both the theory and practice of OMCs' user management by illuminating the central role of KCP in this context.

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An empirical study of continuous knowledge contribution of doctors in online medical communities10.1108/K-03-2023-0397Kybernetes2023-08-21© 2023 Emerald Publishing LimitedDandan WenJianhua ZhangFredrick Ahenkora BoamahYilin LiuKybernetesahead-of-printahead-of-print2023-08-2110.1108/K-03-2023-0397https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0397/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The pricing strategy of group buying under a dual-channel supply chain with price discounts and waiting timehttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0402/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAs an important form of the e-commerce industry, online group buying is under the spotlight from with two sides: cheaper price but longer waiting time. The purpose of this paper is to adequately investigate the interaction between saving and waiting time of group buying comprehensively. To fill the research gap, the authors elaborate a dual-channel supply chain (SC) with regular retail (individual buying) and group-buying channel, and formulate the demand based on the consumer utility with the positive effect of saving money and the negative effect of wasting time. The authors find that power structure only changes the optimal prices, instead of the waiting time. The selling price mainly influences consumer demands, instead of the price discount of group buying. The SC profits are only positive to the channel preference, and it is the decisive parameter of consumers' choice. The price sensitivity lays a more remarkable impact on the SC compared to the time sensitivity. Above all, the price is the main factor of group buying, instead of time. These results underscore the improvement for the dual-channel SC of group buying, providing managerial insights for the group-buying industry.The pricing strategy of group buying under a dual-channel supply chain with price discounts and waiting time
Jingyi Shi, Yanting Huang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

As an important form of the e-commerce industry, online group buying is under the spotlight from with two sides: cheaper price but longer waiting time. The purpose of this paper is to adequately investigate the interaction between saving and waiting time of group buying comprehensively.

To fill the research gap, the authors elaborate a dual-channel supply chain (SC) with regular retail (individual buying) and group-buying channel, and formulate the demand based on the consumer utility with the positive effect of saving money and the negative effect of wasting time.

The authors find that power structure only changes the optimal prices, instead of the waiting time. The selling price mainly influences consumer demands, instead of the price discount of group buying. The SC profits are only positive to the channel preference, and it is the decisive parameter of consumers' choice. The price sensitivity lays a more remarkable impact on the SC compared to the time sensitivity. Above all, the price is the main factor of group buying, instead of time.

These results underscore the improvement for the dual-channel SC of group buying, providing managerial insights for the group-buying industry.

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The pricing strategy of group buying under a dual-channel supply chain with price discounts and waiting time10.1108/K-03-2023-0402Kybernetes2023-08-21© 2023 Emerald Publishing LimitedJingyi ShiYanting HuangKybernetesahead-of-printahead-of-print2023-08-2110.1108/K-03-2023-0402https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0402/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Optimal contracting with asymmetric risk aversion information and fairness concernshttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0410/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study considers a contracting problem between a fairness concerned entrepreneur (EN) and a fair-neutral venture capitalist (VC) to explore the effects of asymmetry, agency conflicts and fairness concerns. The authors construct the model by assuming the EN's risk aversion degree is private information, which is more realistic but ignored in most studies. Under the principal–agent framework, the authors solve the VC's optimal contracting models by identifying the ranges of feasible solution, where the optimal solutions of these models are explicit and nicely reconcile the “private equity” puzzle. Moreover, validity of the optimal solutions is verified by numerical simulations. In accordance with empirical evidence, information asymmetry lowers the optimal equity share that the VC provides to EN but raises EN's profit due to lower effort disutility and information rent. Moreover, the authors find that the fairness concerns is beneficial for the EN, where it not only increases the EN's optimal equity share, but also enhances the certainty equivalence of the EN's utility regarding its profit. Relative to the benchmark model where the EN's risk aversion degree is common knowledge, the EN's efforts recommended by the optimal contract is less sensitive to the EN's fairness concerns degree when the EN does not actually announce its risk aversion degree. First, the authors incorporate asymmetry to study a two-period contracting problem and explore how it affects the equity shares allocated to the contractual parties. Second, the authors incorporate fairness concerns and analyze its effect regarding the decision-makings and profits.Optimal contracting with asymmetric risk aversion information and fairness concerns
Jiajia Chang, Zhi Jun Hu, Hui Zhao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study considers a contracting problem between a fairness concerned entrepreneur (EN) and a fair-neutral venture capitalist (VC) to explore the effects of asymmetry, agency conflicts and fairness concerns.

The authors construct the model by assuming the EN's risk aversion degree is private information, which is more realistic but ignored in most studies. Under the principal–agent framework, the authors solve the VC's optimal contracting models by identifying the ranges of feasible solution, where the optimal solutions of these models are explicit and nicely reconcile the “private equity” puzzle. Moreover, validity of the optimal solutions is verified by numerical simulations.

In accordance with empirical evidence, information asymmetry lowers the optimal equity share that the VC provides to EN but raises EN's profit due to lower effort disutility and information rent. Moreover, the authors find that the fairness concerns is beneficial for the EN, where it not only increases the EN's optimal equity share, but also enhances the certainty equivalence of the EN's utility regarding its profit. Relative to the benchmark model where the EN's risk aversion degree is common knowledge, the EN's efforts recommended by the optimal contract is less sensitive to the EN's fairness concerns degree when the EN does not actually announce its risk aversion degree.

First, the authors incorporate asymmetry to study a two-period contracting problem and explore how it affects the equity shares allocated to the contractual parties. Second, the authors incorporate fairness concerns and analyze its effect regarding the decision-makings and profits.

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Optimal contracting with asymmetric risk aversion information and fairness concerns10.1108/K-03-2023-0410Kybernetes2023-09-07© 2023 Emerald Publishing LimitedJiajia ChangZhi Jun HuHui ZhaoKybernetesahead-of-printahead-of-print2023-09-0710.1108/K-03-2023-0410https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0410/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A capital asset pricing model based on the value at risk under asymmetric Laplace distributionhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0416/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestFinancial asset return series usually exhibit nonnormal characteristics such as high peaks, heavy tails and asymmetry. Traditional risk measures like standard deviation or variance are inadequate for nonnormal distributions. Value at Risk (VaR) is consistent with people's psychological perception of risk. The asymmetric Laplace distribution (ALD) captures the heavy-tailed and biased features of the distribution. VaR is therefore used as a risk measure to explore the problem of VaR-based asset pricing. Assuming returns obey ALD, the study explores the impact of high peaks, heavy tails and asymmetric features of financial asset return data on asset pricing. A VaR-based capital asset pricing model (CAPM) was constructed under the ALD that follows the logic of the classical CAPM and derive the corresponding VaR-β coefficients under ALD. ALD-based VaR exhibits a minor tail risk than VaR under normal distribution as the mean increases. The theoretical derivation yields a more complex capital asset pricing formula involving β coefficients compared to the traditional CAPM.The empirical analysis shows that the CAPM under ALD can reflect the β-return relationship, and the results are robust. Finally, comparing the two CAPMs reveals that the β coefficients derived in this paper are smaller than those in the traditional CAPM in 69–80% of cases. The paper uses VaR as a risk measure for financial time series data following ALD to explore asset pricing problems. The findings complement existing literature on the effects of high peaks, heavy tails and asymmetry on asset pricing, providing valuable insights for investors, policymakers and regulators.A capital asset pricing model based on the value at risk under asymmetric Laplace distribution
Lili Wu, Shulin Xu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Financial asset return series usually exhibit nonnormal characteristics such as high peaks, heavy tails and asymmetry. Traditional risk measures like standard deviation or variance are inadequate for nonnormal distributions. Value at Risk (VaR) is consistent with people's psychological perception of risk. The asymmetric Laplace distribution (ALD) captures the heavy-tailed and biased features of the distribution. VaR is therefore used as a risk measure to explore the problem of VaR-based asset pricing. Assuming returns obey ALD, the study explores the impact of high peaks, heavy tails and asymmetric features of financial asset return data on asset pricing.

A VaR-based capital asset pricing model (CAPM) was constructed under the ALD that follows the logic of the classical CAPM and derive the corresponding VaR-β coefficients under ALD.

ALD-based VaR exhibits a minor tail risk than VaR under normal distribution as the mean increases. The theoretical derivation yields a more complex capital asset pricing formula involving β coefficients compared to the traditional CAPM.The empirical analysis shows that the CAPM under ALD can reflect the β-return relationship, and the results are robust. Finally, comparing the two CAPMs reveals that the β coefficients derived in this paper are smaller than those in the traditional CAPM in 69–80% of cases.

The paper uses VaR as a risk measure for financial time series data following ALD to explore asset pricing problems. The findings complement existing literature on the effects of high peaks, heavy tails and asymmetry on asset pricing, providing valuable insights for investors, policymakers and regulators.

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A capital asset pricing model based on the value at risk under asymmetric Laplace distribution10.1108/K-03-2023-0416Kybernetes2023-08-29© 2023 Emerald Publishing LimitedLili WuShulin XuKybernetesahead-of-printahead-of-print2023-08-2910.1108/K-03-2023-0416https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0416/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Migration or not? Impact of individual and urban factors on migrant workers' willingness of household registration transferhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0421/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to explore the factors that influence migrant workers' household registration transfer willingness at both individual and urban levels and to provide empirical evidence on adjusting the household registration system to accommodate economic development and migrant workers' imbalances. This paper adopts a hierarchical nonlinear model and examines individual and urban influencing factors of migrant workers' household registration transfer willingness, based on the data from China Migrants Dynamic Survey (CMDS) and the Urban Statistical Yearbooks. This paper shows that: (1) multi-factors, such as age, education, marital status, household demographics, industry and migrant workers' contract coverage, have significant effects on migrant workers' household registration transfer willingness; (2) The urban public service equalization indicators, such as regional economic, educational resources, medical care and ecological quality, have significant effects on migrant workers' willingness to transfer household registration; (3) The heterogeneity of migrant workers' willingness to transfer household registration is significant in central, eastern and western China. The authors provide a fresh perspective on population migration research in China and other countries worldwide based on the pull–push migration theory, which incorporates both individual and macro (urban) factors, enabling a comprehensive examination of the factors influencing household registration transfer willingness. This hierarchical ideology and approach (hierarchical nonlinear model) could be extended to investigate the influencing factors of various other human intentions and behaviors. Micro approaches (individual perspective) have dominated existing studies examining the factors influencing migrant workers' household registration transfer willingness. The authors combine individual and urban perspectives and adopt a more comprehensive hierarchical nonlinear model to extend the empirical evidence and provide theoretical explanations for the above issues.Migration or not? Impact of individual and urban factors on migrant workers' willingness of household registration transfer
Zhongzhu Chu, Xihui Chen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to explore the factors that influence migrant workers' household registration transfer willingness at both individual and urban levels and to provide empirical evidence on adjusting the household registration system to accommodate economic development and migrant workers' imbalances.

This paper adopts a hierarchical nonlinear model and examines individual and urban influencing factors of migrant workers' household registration transfer willingness, based on the data from China Migrants Dynamic Survey (CMDS) and the Urban Statistical Yearbooks.

This paper shows that: (1) multi-factors, such as age, education, marital status, household demographics, industry and migrant workers' contract coverage, have significant effects on migrant workers' household registration transfer willingness; (2) The urban public service equalization indicators, such as regional economic, educational resources, medical care and ecological quality, have significant effects on migrant workers' willingness to transfer household registration; (3) The heterogeneity of migrant workers' willingness to transfer household registration is significant in central, eastern and western China.

The authors provide a fresh perspective on population migration research in China and other countries worldwide based on the pull–push migration theory, which incorporates both individual and macro (urban) factors, enabling a comprehensive examination of the factors influencing household registration transfer willingness. This hierarchical ideology and approach (hierarchical nonlinear model) could be extended to investigate the influencing factors of various other human intentions and behaviors.

Micro approaches (individual perspective) have dominated existing studies examining the factors influencing migrant workers' household registration transfer willingness. The authors combine individual and urban perspectives and adopt a more comprehensive hierarchical nonlinear model to extend the empirical evidence and provide theoretical explanations for the above issues.

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Migration or not? Impact of individual and urban factors on migrant workers' willingness of household registration transfer10.1108/K-03-2023-0421Kybernetes2023-07-18© 2023 Emerald Publishing LimitedZhongzhu ChuXihui ChenKybernetesahead-of-printahead-of-print2023-07-1810.1108/K-03-2023-0421https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0421/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Investigating trust and perceived value in cryptocurrencies: do optimism, FinTech literacy and perceived financial and security risks matter?https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0435/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to empirically examine the impact of perceived risks, optimism and financial literacy on trust and the perceived value of cryptocurrencies. It will also examine the impact of trust on the perceived value of cryptocurrencies. A quantitative approach is followed. A questionnaire was designed to collect data from 308 respondents in Jordan. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) method was used to evaluate the research model and test hypotheses. The results of PLS algorithm analysis showed that perceived risks negatively impact the optimism and trust in cryptocurrencies. This study revealed that while financial literacy minimizes the perceived risks, it serves to enhance optimism and improve the perception of the value of cryptocurrencies. Furthermore, the findings of this study show that optimism plays a significant role in trust and perceived value. This study provides new insights into the literature on cryptocurrencies adoption, blockchain theory, the theory of trust in financial systems, the role of the optimism factor and the perception of the value of cryptocurrencies. It also provides important practical implications for different stakeholders.Investigating trust and perceived value in cryptocurrencies: do optimism, FinTech literacy and perceived financial and security risks matter?
Ahmed Shuhaiber, Khaled Saleh Al-Omoush, Ayman Abdalmajeed Alsmadi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to empirically examine the impact of perceived risks, optimism and financial literacy on trust and the perceived value of cryptocurrencies. It will also examine the impact of trust on the perceived value of cryptocurrencies.

A quantitative approach is followed. A questionnaire was designed to collect data from 308 respondents in Jordan. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) method was used to evaluate the research model and test hypotheses.

The results of PLS algorithm analysis showed that perceived risks negatively impact the optimism and trust in cryptocurrencies. This study revealed that while financial literacy minimizes the perceived risks, it serves to enhance optimism and improve the perception of the value of cryptocurrencies. Furthermore, the findings of this study show that optimism plays a significant role in trust and perceived value.

This study provides new insights into the literature on cryptocurrencies adoption, blockchain theory, the theory of trust in financial systems, the role of the optimism factor and the perception of the value of cryptocurrencies. It also provides important practical implications for different stakeholders.

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Investigating trust and perceived value in cryptocurrencies: do optimism, FinTech literacy and perceived financial and security risks matter?10.1108/K-03-2023-0435Kybernetes2023-10-13© 2023 Emerald Publishing LimitedAhmed ShuhaiberKhaled Saleh Al-OmoushAyman Abdalmajeed AlsmadiKybernetesahead-of-printahead-of-print2023-10-1310.1108/K-03-2023-0435https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0435/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Impact of opening-up on industrial upgrading in global value chain: a difference-in-differences estimation for Shanghai pilot free trade zonehttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0440/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUsing the Shanghai pilot free trade zone (SPFTZ) as the testing ground for further reform and opening up,the links between global value chain (GVC) and pilot free trade zone (PFTZ) programs are mutually reinforcing. GVC creates opportunities for companies to use PFTZ to reduce their costs and increase their competitiveness, while PFTZ can facilitate the movement of goods within GVC and promote the development of GVC by attracting foreign investment. Overall, in SPFTZ, the industrial structure is promoted due to trade and investment facilitation, innovation promotion, and comprehensive service platform inside SPFTZ. This study examined industrial upgrading in GVC (IUGVC) using five indicators under three quantitative dimensions: product, process, and skill upgrading. Difference-in-Differences (DID) model is employed for the impact assessment of SPFTZ. Parallel trend analysis and Granger causality analysis are performed to check the reliability of DID outcome. Finally, robustness test using exogenous control variables are carried out. A positive impact of SPFTZ is found on IUGVC, which is due to promoting effect of SPFTZ on foreign direct investment and technological innovation. Based on the study's findings, policy recommendations are given, such as providing business support to enterprises operating inside a PFTZ. From a GVC perspective, the impact of theSPFTZ establishment on IUGVC cannot be ignored, and is so far missing in the literature.Impact of opening-up on industrial upgrading in global value chain: a difference-in-differences estimation for Shanghai pilot free trade zone
Rabia Shahid, Humera Shahid, Li Shijie, Faiq Mahmood, Ning Yifan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Using the Shanghai pilot free trade zone (SPFTZ) as the testing ground for further reform and opening up,the links between global value chain (GVC) and pilot free trade zone (PFTZ) programs are mutually reinforcing. GVC creates opportunities for companies to use PFTZ to reduce their costs and increase their competitiveness, while PFTZ can facilitate the movement of goods within GVC and promote the development of GVC by attracting foreign investment. Overall, in SPFTZ, the industrial structure is promoted due to trade and investment facilitation, innovation promotion, and comprehensive service platform inside SPFTZ.

This study examined industrial upgrading in GVC (IUGVC) using five indicators under three quantitative dimensions: product, process, and skill upgrading. Difference-in-Differences (DID) model is employed for the impact assessment of SPFTZ. Parallel trend analysis and Granger causality analysis are performed to check the reliability of DID outcome. Finally, robustness test using exogenous control variables are carried out.

A positive impact of SPFTZ is found on IUGVC, which is due to promoting effect of SPFTZ on foreign direct investment and technological innovation. Based on the study's findings, policy recommendations are given, such as providing business support to enterprises operating inside a PFTZ.

From a GVC perspective, the impact of theSPFTZ establishment on IUGVC cannot be ignored, and is so far missing in the literature.

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Impact of opening-up on industrial upgrading in global value chain: a difference-in-differences estimation for Shanghai pilot free trade zone10.1108/K-03-2023-0440Kybernetes2023-09-27© 2023 Emerald Publishing LimitedRabia ShahidHumera ShahidLi ShijieFaiq MahmoodNing YifanKybernetesahead-of-printahead-of-print2023-09-2710.1108/K-03-2023-0440https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0440/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Role of tacit knowledge management process and innovation capability for stimulating organizational performance: empirical analysis, PLS-SEM approachhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0444/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article aims to explore the connections between tacit knowledge management and the capacity to create new products and services for stimulating organizational performance. This research utilizes a questionnaire-based study and 378 questionnaires gathered from different provinces of China between August and October 2022. The SmartPLS technique was used to evaluate the regression and mediation analysis on lower-order and higher-order components of the research hypotheses behind the model. This investigation's results indicate that the tacit knowledge management process (TKMP) significantly drives product and service innovation and impacts organizational performance (ORP). According to the results, TKMP did not directly influence ORP and product innovation to mediate between Tacit knowledge and organizational performance. Future research should concentrate on different combinations of influences on innovation and other consequences of introducing innovation into businesses. Moreover, researchers may add moderators to innovation and organizational performance. This study assists managers in how tacit knowledge management affects organisational performance by examining product/service innovation capabilities. Product innovation also mediates between tacit knowledge and organizational performance. Service innovation improves organizational performance, prioritizing knowledge creation, sharing and retention to increase innovation and organizational success. This study contributes to the literature on tacit knowledge management, innovation capability and organizational performance by concentrating on the tacit knowledge process and using the resource-based view. This study gives a solid theoretical and practical basis for understanding the component interactions.Role of tacit knowledge management process and innovation capability for stimulating organizational performance: empirical analysis, PLS-SEM approach
Umair Zia, Jianhua Zhang, Sajjad Alam
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article aims to explore the connections between tacit knowledge management and the capacity to create new products and services for stimulating organizational performance.

This research utilizes a questionnaire-based study and 378 questionnaires gathered from different provinces of China between August and October 2022. The SmartPLS technique was used to evaluate the regression and mediation analysis on lower-order and higher-order components of the research hypotheses behind the model.

This investigation's results indicate that the tacit knowledge management process (TKMP) significantly drives product and service innovation and impacts organizational performance (ORP). According to the results, TKMP did not directly influence ORP and product innovation to mediate between Tacit knowledge and organizational performance.

Future research should concentrate on different combinations of influences on innovation and other consequences of introducing innovation into businesses. Moreover, researchers may add moderators to innovation and organizational performance.

This study assists managers in how tacit knowledge management affects organisational performance by examining product/service innovation capabilities. Product innovation also mediates between tacit knowledge and organizational performance. Service innovation improves organizational performance, prioritizing knowledge creation, sharing and retention to increase innovation and organizational success.

This study contributes to the literature on tacit knowledge management, innovation capability and organizational performance by concentrating on the tacit knowledge process and using the resource-based view. This study gives a solid theoretical and practical basis for understanding the component interactions.

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Role of tacit knowledge management process and innovation capability for stimulating organizational performance: empirical analysis, PLS-SEM approach10.1108/K-03-2023-0444Kybernetes2023-08-03© 2023 Emerald Publishing LimitedUmair ZiaJianhua ZhangSajjad AlamKybernetesahead-of-printahead-of-print2023-08-0310.1108/K-03-2023-0444https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0444/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Unlocking the potential of technology usage in fostering education quality and students' satisfaction: a case of Pakistani higher educationhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0452/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research aims to determine the levels of education quality (EQ), technology usage (TU), students' satisfaction (SS) and the impact of EQ on SS. Also, it seeks to find out how TU as a moderator affects EQ and SS in Pakistani private higher education institutions (HEIs). A total of 440 postgraduate students at eleven private universities in Lahore, Punjab Province, Pakistan, participated in empirical research and data were obtained through the use of an online questionnaire. Simple random sampling was used to choose participants and partial least square structural equation modeling was employed to analyze the data. The findings revealed that Pakistani private HEIs have a medium level of EQ, TU and SS. Furthermore, the data reveal the existence of a significant positive relationship between EQ and SS, whereas TU as a moderator was found to negatively affect EQ and SS. Postgraduate students of private HEIs in Pakistan were considered for this investigation and this study was limited to testing only in Punjab province. Another limitation of this study is that it was based on a research framework from previous research and literature. This study employed questionnaire surveys to conduct evaluations of teachers' teaching quality by university students. Furthermore, the questionnaire employed student self-evaluations to assess the quality of teaching. The research data would be more detailed if it were possible to include teachers' self-evaluations of their teaching quality. The current study provides key insights for policymakers, higher education commission and HEIs. The results suggest leveraging the identified medium levels of EQ, TU and student satisfaction in Pakistani private HEIs. In an effort to boost the medium levels, policymakers are encouraged to enhance the teaching and learning experience by robustly integrating Web 4.0 technologies. Institutions can intervene strategically by investing in infrastructure and innovative tools aligned with students' technological needs. Likewise, policymakers and institutions can optimize learning management systems (LMS) by developing and implementing policies that encourage their adoption and optimization across HEIs. This may contribute to the accomplishment of the United Nations' sustainable development goal of providing quality education. Moreover, with the help of this research HEIs can establish minimum quality standards regarding academic teaching and learning materials. Implementing the above-mentioned practical implications might boost student satisfaction in HEIs which would benefit not only students but also the institutions. The novelty of the article lies in the fact that it addresses the gap in the existing literature by exploring the levels of EQ, TU and student satisfaction in the context of private higher education in Pakistan. Furthermore, this study investigated whether TU served as a moderator in the relationship between student satisfaction and UNESCO-recommended EQ. This study elaborates on EQ indicators recommended by UNESCO in Pakistan’s private higher education sector.Unlocking the potential of technology usage in fostering education quality and students' satisfaction: a case of Pakistani higher education
Maryam Ikram, Husaina Banu Kenayathulla, Syed Muhammad Umer Saleem
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research aims to determine the levels of education quality (EQ), technology usage (TU), students' satisfaction (SS) and the impact of EQ on SS. Also, it seeks to find out how TU as a moderator affects EQ and SS in Pakistani private higher education institutions (HEIs).

A total of 440 postgraduate students at eleven private universities in Lahore, Punjab Province, Pakistan, participated in empirical research and data were obtained through the use of an online questionnaire. Simple random sampling was used to choose participants and partial least square structural equation modeling was employed to analyze the data.

The findings revealed that Pakistani private HEIs have a medium level of EQ, TU and SS. Furthermore, the data reveal the existence of a significant positive relationship between EQ and SS, whereas TU as a moderator was found to negatively affect EQ and SS.

Postgraduate students of private HEIs in Pakistan were considered for this investigation and this study was limited to testing only in Punjab province. Another limitation of this study is that it was based on a research framework from previous research and literature. This study employed questionnaire surveys to conduct evaluations of teachers' teaching quality by university students. Furthermore, the questionnaire employed student self-evaluations to assess the quality of teaching. The research data would be more detailed if it were possible to include teachers' self-evaluations of their teaching quality.

The current study provides key insights for policymakers, higher education commission and HEIs. The results suggest leveraging the identified medium levels of EQ, TU and student satisfaction in Pakistani private HEIs. In an effort to boost the medium levels, policymakers are encouraged to enhance the teaching and learning experience by robustly integrating Web 4.0 technologies. Institutions can intervene strategically by investing in infrastructure and innovative tools aligned with students' technological needs. Likewise, policymakers and institutions can optimize learning management systems (LMS) by developing and implementing policies that encourage their adoption and optimization across HEIs. This may contribute to the accomplishment of the United Nations' sustainable development goal of providing quality education. Moreover, with the help of this research HEIs can establish minimum quality standards regarding academic teaching and learning materials. Implementing the above-mentioned practical implications might boost student satisfaction in HEIs which would benefit not only students but also the institutions.

The novelty of the article lies in the fact that it addresses the gap in the existing literature by exploring the levels of EQ, TU and student satisfaction in the context of private higher education in Pakistan. Furthermore, this study investigated whether TU served as a moderator in the relationship between student satisfaction and UNESCO-recommended EQ. This study elaborates on EQ indicators recommended by UNESCO in Pakistan’s private higher education sector.

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Unlocking the potential of technology usage in fostering education quality and students' satisfaction: a case of Pakistani higher education10.1108/K-03-2023-0452Kybernetes2023-12-21© 2023 Emerald Publishing LimitedMaryam IkramHusaina Banu KenayathullaSyed Muhammad Umer SaleemKybernetesahead-of-printahead-of-print2023-12-2110.1108/K-03-2023-0452https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0452/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Is phubbing due to social media impacting my well-being – demystifying the FOMO, CSMU, phubbing loop among school and university cohortshttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0456/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestEmergent research suggests that compulsive social media usage (CSMU) has a correlational link with well-being. Previous research in this area primarily focused on the prevalence, dynamics and consequences of social media usage. However, the knowledge of these occurrences among school and university students is still in its infancy stage. This research study addresses the knowledge gap by investigating the nexus between fear of missing out (FOMO), phubbing, CSMU and well-being. Cross-sectional surveys were conducted for collecting the data of school students and university students during COVID-19 when the exposure to the Internet and social media among the students had increased tremendously. Multivariate analysis and Moderated Mediated analysis techniques were performed to analyze the data using the structural equation modeling approach. The results indicated that while on one side, students experience “FOMO”, on the other, they phone snub the individuals available to them to interact. FOMO significantly influences well-being; phubbing also has a significant impact on well-being; phubbing partially mediates the relationship between CSMU and well-being. However, for university students, the full mediation of phubbing in the relationship between CSMU and well-being was confirmed. It was also found that sleep fully mediated the relationship between CSMU and well-being. This study provides novel highlights of the differential effects of FOMO, phubbing, sleep hygiene and well-being among the university and school-attending cohorts.Is phubbing due to social media impacting my well-being – demystifying the FOMO, CSMU, phubbing loop among school and university cohorts
Meha Joshi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Emergent research suggests that compulsive social media usage (CSMU) has a correlational link with well-being. Previous research in this area primarily focused on the prevalence, dynamics and consequences of social media usage. However, the knowledge of these occurrences among school and university students is still in its infancy stage. This research study addresses the knowledge gap by investigating the nexus between fear of missing out (FOMO), phubbing, CSMU and well-being.

Cross-sectional surveys were conducted for collecting the data of school students and university students during COVID-19 when the exposure to the Internet and social media among the students had increased tremendously. Multivariate analysis and Moderated Mediated analysis techniques were performed to analyze the data using the structural equation modeling approach.

The results indicated that while on one side, students experience “FOMO”, on the other, they phone snub the individuals available to them to interact. FOMO significantly influences well-being; phubbing also has a significant impact on well-being; phubbing partially mediates the relationship between CSMU and well-being. However, for university students, the full mediation of phubbing in the relationship between CSMU and well-being was confirmed. It was also found that sleep fully mediated the relationship between CSMU and well-being.

This study provides novel highlights of the differential effects of FOMO, phubbing, sleep hygiene and well-being among the university and school-attending cohorts.

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Is phubbing due to social media impacting my well-being – demystifying the FOMO, CSMU, phubbing loop among school and university cohorts10.1108/K-03-2023-0456Kybernetes2023-07-04© 2023 Emerald Publishing LimitedMeha JoshiKybernetesahead-of-printahead-of-print2023-07-0410.1108/K-03-2023-0456https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0456/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Understanding learners' intention toward Metaverse in higher education institutions from a developing country perspective: UTAUT and ISS integrated modelhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0459/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe Metaverse is an immersive virtual world where individuals interact with each other using an avatar. The Metaverse is promised to offer several potentials for different sectors. While the Metaverse promotes innovative interaction between individuals (e.g. learners), there is a scarcity of knowledge on what influences its acceptance and use in higher educational institutions (HEIs), particularly in developing countries. Thus, this paper aims to identify the factors that affect the users' intentions toward Metaverse technology for educational purposes in the HEIs in Jordan. A study model was created by incorporating variables from the unified theory of acceptance and use of technology (UTAUT) (performance expectancy, PE; effort expectancy, EE; social influence, SI; and facilitating conditions, FC) and information system success (ISS) model (user satisfaction, SAT; system quality, SQ; service quality, SVQ and information quality, IQ) with perceived curiosity (PC) and hedonic gratification (HG) constructs. Both PC and HG were added as context-related factors that could contribute to improving the applicability of UTAUT and ISS to a wide range of technology use contexts. Data were gathered from 441 Jordanian university students using an online questionnaire. The analysis of the structural model revealed that users' behavioural intentions toward using Metaverse were significantly affected by user satisfaction (SAT), performance expectancy (PE), facilitating conditions (FC) and hedonic gratification (HG). Also, information quality (IQ) and services quality (SVQ) were revealed to have a significant influence on user satisfaction. Likewise, the results illustrated a significant impact of systems quality (SQ), information quality (IQ) and service quality (SVQ) on PE. Lastly, a significant effect of PC on the EE factor was found. This study will shed light on a number of practical implications for developers, designers, service providers and decision-makers supporting the acceptance and adoption of the Metaverse technology in the educational context. Also, it will contribute to developing the right strategies, and Metaverse content which will draw the attention of learners. As per the surveyed literature and the researcher's prior knowledge, this is one of the first studies that integrate the UTAUT model, ISS model and two contextual factors (PC and HG) besides testing the proposed model in a developing country (Jordan). This paper is one of the few in which the individuals' acceptance behaviour of Metaverse technology was examined in the HEIs context.Understanding learners' intention toward Metaverse in higher education institutions from a developing country perspective: UTAUT and ISS integrated model
Abeer F. Alkhwaldi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The Metaverse is an immersive virtual world where individuals interact with each other using an avatar. The Metaverse is promised to offer several potentials for different sectors. While the Metaverse promotes innovative interaction between individuals (e.g. learners), there is a scarcity of knowledge on what influences its acceptance and use in higher educational institutions (HEIs), particularly in developing countries. Thus, this paper aims to identify the factors that affect the users' intentions toward Metaverse technology for educational purposes in the HEIs in Jordan.

A study model was created by incorporating variables from the unified theory of acceptance and use of technology (UTAUT) (performance expectancy, PE; effort expectancy, EE; social influence, SI; and facilitating conditions, FC) and information system success (ISS) model (user satisfaction, SAT; system quality, SQ; service quality, SVQ and information quality, IQ) with perceived curiosity (PC) and hedonic gratification (HG) constructs. Both PC and HG were added as context-related factors that could contribute to improving the applicability of UTAUT and ISS to a wide range of technology use contexts. Data were gathered from 441 Jordanian university students using an online questionnaire.

The analysis of the structural model revealed that users' behavioural intentions toward using Metaverse were significantly affected by user satisfaction (SAT), performance expectancy (PE), facilitating conditions (FC) and hedonic gratification (HG). Also, information quality (IQ) and services quality (SVQ) were revealed to have a significant influence on user satisfaction. Likewise, the results illustrated a significant impact of systems quality (SQ), information quality (IQ) and service quality (SVQ) on PE. Lastly, a significant effect of PC on the EE factor was found.

This study will shed light on a number of practical implications for developers, designers, service providers and decision-makers supporting the acceptance and adoption of the Metaverse technology in the educational context. Also, it will contribute to developing the right strategies, and Metaverse content which will draw the attention of learners.

As per the surveyed literature and the researcher's prior knowledge, this is one of the first studies that integrate the UTAUT model, ISS model and two contextual factors (PC and HG) besides testing the proposed model in a developing country (Jordan). This paper is one of the few in which the individuals' acceptance behaviour of Metaverse technology was examined in the HEIs context.

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Understanding learners' intention toward Metaverse in higher education institutions from a developing country perspective: UTAUT and ISS integrated model10.1108/K-03-2023-0459Kybernetes2023-09-18© 2023 Emerald Publishing LimitedAbeer F. AlkhwaldiKybernetesahead-of-printahead-of-print2023-09-1810.1108/K-03-2023-0459https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0459/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Dynamic scheduling for job shop with machine failure based on data mining technologieshttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0480/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestInfluenced by the constantly changing manufacturing environment, no single dispatching rule (SDR) can consistently obtain better scheduling results than other rules for the dynamic job-shop scheduling problem (DJSP). Although the dynamic SDR selection classifier (DSSC) mined by traditional data-mining-based scheduling method has shown some improvement in comparison to an SDR, the enhancement is not significant since the rule selected by DSSC is still an SDR. This paper presents a novel data-mining-based scheduling method for the DJSP with machine failure aiming at minimizing the makespan. Firstly, a scheduling priority relation model (SPRM) is constructed to determine the appropriate priority relation between two operations based on the production system state and the difference between their priority values calculated using multiple SDRs. Subsequently, a training sample acquisition mechanism based on the optimal scheduling schemes is proposed to acquire training samples for the SPRM. Furthermore, feature selection and machine learning are conducted using the genetic algorithm and extreme learning machine to mine the SPRM. Results from numerical experiments demonstrate that the SPRM, mined by the proposed method, not only achieves better scheduling results in most manufacturing environments but also maintains a higher level of stability in diverse manufacturing environments than an SDR and the DSSC. This paper constructs a SPRM and mines it based on data mining technologies to obtain better results than an SDR and the DSSC in various manufacturing environments.Dynamic scheduling for job shop with machine failure based on data mining technologies
Yong Gui, Lanxin Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Influenced by the constantly changing manufacturing environment, no single dispatching rule (SDR) can consistently obtain better scheduling results than other rules for the dynamic job-shop scheduling problem (DJSP). Although the dynamic SDR selection classifier (DSSC) mined by traditional data-mining-based scheduling method has shown some improvement in comparison to an SDR, the enhancement is not significant since the rule selected by DSSC is still an SDR.

This paper presents a novel data-mining-based scheduling method for the DJSP with machine failure aiming at minimizing the makespan. Firstly, a scheduling priority relation model (SPRM) is constructed to determine the appropriate priority relation between two operations based on the production system state and the difference between their priority values calculated using multiple SDRs. Subsequently, a training sample acquisition mechanism based on the optimal scheduling schemes is proposed to acquire training samples for the SPRM. Furthermore, feature selection and machine learning are conducted using the genetic algorithm and extreme learning machine to mine the SPRM.

Results from numerical experiments demonstrate that the SPRM, mined by the proposed method, not only achieves better scheduling results in most manufacturing environments but also maintains a higher level of stability in diverse manufacturing environments than an SDR and the DSSC.

This paper constructs a SPRM and mines it based on data mining technologies to obtain better results than an SDR and the DSSC in various manufacturing environments.

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Dynamic scheduling for job shop with machine failure based on data mining technologies10.1108/K-03-2023-0480Kybernetes2023-11-10© 2023 Emerald Publishing LimitedYong GuiLanxin ZhangKybernetesahead-of-printahead-of-print2023-11-1010.1108/K-03-2023-0480https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0480/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring the theoretical and practical implications of eigenbehavior at the intersection of second-order cybernetics and ecosystem managementhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0482/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn this conceptual paper the authors aim to discuss the implications of a second-order cybernetic approach and eigenbehavior in ecosystem management. The authors argue that traditional management practices rely on the agreement of stakeholders, but this approach cannot satisfy multiple-objective realities, making radical constructivism necessary. The authors examined this conjecture using a multi-agent simulation exercise. Agents display individual behavior consistent with the organizing principles proposed by von Foerster (eigenform and eigenbehavior), Hoffman (perception and fitness) and Maturana (domains of realization). This exercise is complemented with an ecosystem management classification exercise to show how convergence is achieved when a team of trained professionals describes entities of low versus high complexity in a spatially explicit domain. The authors showed that eigenforms can diverge significantly depending on the complexity of the problem. The capacity of observers to stabilize an eigenform and create a common ground for understanding depends on the complexity of the problem at hand and their cognitive diversity. The authors highlighted the difficulties that arose when observation and modification through the intervention of the environment cannot be detached. The authors argue that this situation deeply permeates ecosystem resource management due to the unpredictable outcomes displayed by entities embedded into open system dynamics. Finally, the authors propose that the association between indication and transformation can be operationally interconnected as Eigenperception, which corresponds to a novel dynamic state bridging the gap between noise and eigenform. This concept of Eigenperception encapsulates entities that arise from eigenbehavior, encompassing observations, meanings, human transformative actions and ecological processes, all in a simultaneous manner.Exploring the theoretical and practical implications of eigenbehavior at the intersection of second-order cybernetics and ecosystem management
Marcelo D. Miranda, Sebastián Abades
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In this conceptual paper the authors aim to discuss the implications of a second-order cybernetic approach and eigenbehavior in ecosystem management. The authors argue that traditional management practices rely on the agreement of stakeholders, but this approach cannot satisfy multiple-objective realities, making radical constructivism necessary.

The authors examined this conjecture using a multi-agent simulation exercise. Agents display individual behavior consistent with the organizing principles proposed by von Foerster (eigenform and eigenbehavior), Hoffman (perception and fitness) and Maturana (domains of realization). This exercise is complemented with an ecosystem management classification exercise to show how convergence is achieved when a team of trained professionals describes entities of low versus high complexity in a spatially explicit domain.

The authors showed that eigenforms can diverge significantly depending on the complexity of the problem. The capacity of observers to stabilize an eigenform and create a common ground for understanding depends on the complexity of the problem at hand and their cognitive diversity. The authors highlighted the difficulties that arose when observation and modification through the intervention of the environment cannot be detached. The authors argue that this situation deeply permeates ecosystem resource management due to the unpredictable outcomes displayed by entities embedded into open system dynamics.

Finally, the authors propose that the association between indication and transformation can be operationally interconnected as Eigenperception, which corresponds to a novel dynamic state bridging the gap between noise and eigenform. This concept of Eigenperception encapsulates entities that arise from eigenbehavior, encompassing observations, meanings, human transformative actions and ecological processes, all in a simultaneous manner.

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Exploring the theoretical and practical implications of eigenbehavior at the intersection of second-order cybernetics and ecosystem management10.1108/K-03-2023-0482Kybernetes2023-09-11© 2023 Emerald Publishing LimitedMarcelo D. MirandaSebastián AbadesKybernetesahead-of-printahead-of-print2023-09-1110.1108/K-03-2023-0482https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0482/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Consumers' usage of mobile payment systems: an application of the innovation resistance and coping theory on the tourism sectorhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0495/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestMobile phone payment is a significant advancement in e-commerce and retailing. This study aims to look at the influencing factors for the attainment or letdown of mobile payment systems (MPS). The coping theory (CP) and innovation resistance theory (IRT) components were applied in the tourism sector. The data were gathered from 402 tourists who utilized MPS for the first time to book their vacation. In a longitudinal study, an online questionnaire was used to contact clients of several travel businesses to predict their intentions and behavior. Covariance-based structure equation modeling (CB-SEM) was applied using IBM-SPSS AMOS to analyze the data. CP factors provided highly thought-provoking results, calling into question several apparent beliefs. At the same time, the relationships covering the aspects of the IRT were supported. It has also been found that intentions are a valid predictor of behavior. The study's findings can be used by governments, media houses, hotels and travel and tourism agencies, particularly in developing countries like Malaysia. This study adds to the existing literature by offering a complete model that demonstrates the influence of conceptualizations utilized from the most robust theories connected to technology toward MPS for trip reservations from the perspective of developing countries. Importantly, this study measures the consumers' continuous buying behavior by employing a longitudinal research design.Consumers' usage of mobile payment systems: an application of the innovation resistance and coping theory on the tourism sector
Irfan Hameed, Umair Akram, Arif Ashraf
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Mobile phone payment is a significant advancement in e-commerce and retailing. This study aims to look at the influencing factors for the attainment or letdown of mobile payment systems (MPS). The coping theory (CP) and innovation resistance theory (IRT) components were applied in the tourism sector.

The data were gathered from 402 tourists who utilized MPS for the first time to book their vacation. In a longitudinal study, an online questionnaire was used to contact clients of several travel businesses to predict their intentions and behavior. Covariance-based structure equation modeling (CB-SEM) was applied using IBM-SPSS AMOS to analyze the data.

CP factors provided highly thought-provoking results, calling into question several apparent beliefs. At the same time, the relationships covering the aspects of the IRT were supported. It has also been found that intentions are a valid predictor of behavior.

The study's findings can be used by governments, media houses, hotels and travel and tourism agencies, particularly in developing countries like Malaysia.

This study adds to the existing literature by offering a complete model that demonstrates the influence of conceptualizations utilized from the most robust theories connected to technology toward MPS for trip reservations from the perspective of developing countries. Importantly, this study measures the consumers' continuous buying behavior by employing a longitudinal research design.

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Consumers' usage of mobile payment systems: an application of the innovation resistance and coping theory on the tourism sector10.1108/K-03-2023-0495Kybernetes2023-10-03© 2023 Emerald Publishing LimitedIrfan HameedUmair AkramArif AshrafKybernetesahead-of-printahead-of-print2023-10-0310.1108/K-03-2023-0495https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0495/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How to orchestrate participants of ecosystem to foster innovation: an exploratory analysis on the network levelhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0501/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSmall and medium-sized enterprises (SMEs), typically with limited resources, strive hard to obtain the trust of ecosystem participants as an orchestrator. Accordingly, the firms do not have sufficient legitimacy to persuade other parties to join their networks. This study aims to investigate how an SME operating in the publishing industry orchestrates ecosystem participants. In particular, the study analyzes how the orchestrating firm stimulates interactions among ecosystem participants. Case study research with a qualitative approach has been documented as a well-accepted method for investigating complex phenomena and for theory building. Collected data from various informants and different collection techniques are triangulated to ensure validity. Cross-case analysis to identify common patterns is undertaken as the basis for developing a sound conclusion. The study demonstrated what orchestrating firms should do to foster innovations and how they benefit from other participants in the ecosystem. The analysis identified the orchestrator's four roles: entrepreneurship networks, knowledge activation, innovation intermediary and network leadership. Among the four roles, there are interrelationships, and to some degree, these overlap. The orchestrating firm must emerge into the ecosystem and work together with all members of the ecosystem. Managers of the orchestrating firm and network members should collaborate to find the most beneficial configuration for all ecosystem participants. This research is limited to the knowledge-intensive publishing industry. The use of specific industries closely related to innovation provides an advantage in the way that enables researchers to conduct depth analysis, but at the expense of generalizability, and therefore, future research can analyze different industries. This study focuses on networks as the unit of analysis. Previous studies assumed individual firms as the unit of analysis and ignored the fact that companies interact with other companies when pursuing open innovation. The study focuses on the interactions between actors as the unit of analysis and on the role of orchestrators undertaken by an SME.How to orchestrate participants of ecosystem to foster innovation: an exploratory analysis on the network level
Gilang Mukti Prabowo, Anjar Priyono, Suhartini, Anas Hidayat
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Small and medium-sized enterprises (SMEs), typically with limited resources, strive hard to obtain the trust of ecosystem participants as an orchestrator. Accordingly, the firms do not have sufficient legitimacy to persuade other parties to join their networks. This study aims to investigate how an SME operating in the publishing industry orchestrates ecosystem participants. In particular, the study analyzes how the orchestrating firm stimulates interactions among ecosystem participants.

Case study research with a qualitative approach has been documented as a well-accepted method for investigating complex phenomena and for theory building. Collected data from various informants and different collection techniques are triangulated to ensure validity. Cross-case analysis to identify common patterns is undertaken as the basis for developing a sound conclusion.

The study demonstrated what orchestrating firms should do to foster innovations and how they benefit from other participants in the ecosystem. The analysis identified the orchestrator's four roles: entrepreneurship networks, knowledge activation, innovation intermediary and network leadership. Among the four roles, there are interrelationships, and to some degree, these overlap. The orchestrating firm must emerge into the ecosystem and work together with all members of the ecosystem. Managers of the orchestrating firm and network members should collaborate to find the most beneficial configuration for all ecosystem participants.

This research is limited to the knowledge-intensive publishing industry. The use of specific industries closely related to innovation provides an advantage in the way that enables researchers to conduct depth analysis, but at the expense of generalizability, and therefore, future research can analyze different industries.

This study focuses on networks as the unit of analysis. Previous studies assumed individual firms as the unit of analysis and ignored the fact that companies interact with other companies when pursuing open innovation. The study focuses on the interactions between actors as the unit of analysis and on the role of orchestrators undertaken by an SME.

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How to orchestrate participants of ecosystem to foster innovation: an exploratory analysis on the network level10.1108/K-03-2023-0501Kybernetes2023-10-10© 2023 Emerald Publishing LimitedGilang Mukti PrabowoAnjar Priyono SuhartiniAnas HidayatKybernetesahead-of-printahead-of-print2023-10-1010.1108/K-03-2023-0501https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0501/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Do perceived threats to psychological distance influence tourists' reactance and online Airbnb booking intentions during COVID-19?https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0508/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe authors proposed a conceptual model by examining the influence of threats to their freedom on tourists’ psychological distance including social distance, spatial distance, and temporal distance, which effect psychological reactance and the consequent online Airbnb booking intentions. Furthermore, media intrusiveness as a moderator determines the boundary conditions between perceived threats to their freedom and social distance, spatial distance, and temporal distance. Data was gathered from 491 Chinese travelers to provide empirical evidence. The authors performed data analysis in Amos 26.0 using structural equation modeling (SEM) and Hayes (2013) PROCESS macro. The findings positively reinforced all the structural relationships of the study. Notably, media intrusiveness significantly moderates the association between perceived threats to their freedom and psychological distance (i.e. social distance, spatial distance, and temporal distance). The findings contribute significantly to the field of social psychology, advertising, and consumer behavior derive prolific implications for policymakers and sharing economy platforms. Lastly, by identifying limitations, this research opens doors for future scholars. Governments' acute precautionary measures in response to the COVID-19 outbreak have confined individual freedom across the globe. This study illuminates how tourists conceive these preventative measures as perceived threats to their freedom, and subsequently engage psychological reactance.Do perceived threats to psychological distance influence tourists' reactance and online Airbnb booking intentions during COVID-19?
Naeem Akhtar, Umar Iqbal Siddiqi, Tahir Islam
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The authors proposed a conceptual model by examining the influence of threats to their freedom on tourists’ psychological distance including social distance, spatial distance, and temporal distance, which effect psychological reactance and the consequent online Airbnb booking intentions. Furthermore, media intrusiveness as a moderator determines the boundary conditions between perceived threats to their freedom and social distance, spatial distance, and temporal distance.

Data was gathered from 491 Chinese travelers to provide empirical evidence. The authors performed data analysis in Amos 26.0 using structural equation modeling (SEM) and Hayes (2013) PROCESS macro.

The findings positively reinforced all the structural relationships of the study. Notably, media intrusiveness significantly moderates the association between perceived threats to their freedom and psychological distance (i.e. social distance, spatial distance, and temporal distance).

The findings contribute significantly to the field of social psychology, advertising, and consumer behavior derive prolific implications for policymakers and sharing economy platforms. Lastly, by identifying limitations, this research opens doors for future scholars.

Governments' acute precautionary measures in response to the COVID-19 outbreak have confined individual freedom across the globe. This study illuminates how tourists conceive these preventative measures as perceived threats to their freedom, and subsequently engage psychological reactance.

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Do perceived threats to psychological distance influence tourists' reactance and online Airbnb booking intentions during COVID-19?10.1108/K-03-2023-0508Kybernetes2023-07-05© 2023 Emerald Publishing LimitedNaeem AkhtarUmar Iqbal SiddiqiTahir IslamKybernetesahead-of-printahead-of-print2023-07-0510.1108/K-03-2023-0508https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0508/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
When identity is sanctity: servant leadership guarding against moral disengagement through building strong moral identity in the presence of organizational politicshttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0509/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study was conducted to understand how the moral identity of employees mediates the relationship between servant leadership and the moral disengagement of employees. Additionally, the study explores whether servant leadership's ability to build the moral identity of employees is contingent upon employees' perception of organizational politics. The data were collected from 500 service sector-employed knowledge workers. Data analysis was done through structural equation modeling. The study found servant leadership to be related to the moral identity of employees. Additionally, moral identity and moral disengagement were found to be negatively related. Moral identity was found to mediate the relationship between servant leadership and moral disengagement. Finally, the study found that the relationship between servant leadership and employees' moral identity was contingent upon their perception of organizational politics. The study explored the previously unexplored mediating role of moral identity linking servant leadership to the moral disengagement of employees. The study also explained how the relationship between servant leadership and the moral identity of employees was contingent upon employees' perception of organizational politics.When identity is sanctity: servant leadership guarding against moral disengagement through building strong moral identity in the presence of organizational politics
Aqib Jameel, Muhammad Mumtaz Khan, Syed Saad Ahmed
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study was conducted to understand how the moral identity of employees mediates the relationship between servant leadership and the moral disengagement of employees. Additionally, the study explores whether servant leadership's ability to build the moral identity of employees is contingent upon employees' perception of organizational politics.

The data were collected from 500 service sector-employed knowledge workers. Data analysis was done through structural equation modeling.

The study found servant leadership to be related to the moral identity of employees. Additionally, moral identity and moral disengagement were found to be negatively related. Moral identity was found to mediate the relationship between servant leadership and moral disengagement. Finally, the study found that the relationship between servant leadership and employees' moral identity was contingent upon their perception of organizational politics.

The study explored the previously unexplored mediating role of moral identity linking servant leadership to the moral disengagement of employees. The study also explained how the relationship between servant leadership and the moral identity of employees was contingent upon employees' perception of organizational politics.

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When identity is sanctity: servant leadership guarding against moral disengagement through building strong moral identity in the presence of organizational politics10.1108/K-03-2023-0509Kybernetes2023-07-25© 2023 Emerald Publishing LimitedAqib JameelMuhammad Mumtaz KhanSyed Saad AhmedKybernetesahead-of-printahead-of-print2023-07-2510.1108/K-03-2023-0509https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0509/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Are credit ratings forward-looking? – Evidence from Indiahttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0511/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to examine the informational value of credit rating changes for investors. The article analyses whether credit rating changes indicate the future financial performance of a firm. The study employs pooled time-series cross-section regression technique and two-sample t-test for analysis. The paper utilizes a firm's operating profit as a proxy of its future financial performance to understand what inference can be drawn about future financial performance from a change in a firm's credit rating. The paper finds that a firm operating profit declines in the year after a credit rating downgrade. However, no such significant relationship is evident in the case of a rating upgrade. The results are consistent across rating categories and individual years of the sample period. The study uses non-financial corporate rating data; hence, the findings may not apply to credit rating changes in financial corporates and structured finance. Investors and analysts can incorporate credit rating downgrade by CRAs as a key input in a firm's future financial forecast. Analysts and investment managers can also look at credit rating changes of firms in the same industry and draw a definite conclusion about which firm is likely to see a higher deterioration in performance. The author has not come across any literature that directly investigates credit rating changes from the perspective of information content about future financial performance.Are credit ratings forward-looking? – Evidence from India
Chandan Sharma
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to examine the informational value of credit rating changes for investors. The article analyses whether credit rating changes indicate the future financial performance of a firm.

The study employs pooled time-series cross-section regression technique and two-sample t-test for analysis. The paper utilizes a firm's operating profit as a proxy of its future financial performance to understand what inference can be drawn about future financial performance from a change in a firm's credit rating.

The paper finds that a firm operating profit declines in the year after a credit rating downgrade. However, no such significant relationship is evident in the case of a rating upgrade. The results are consistent across rating categories and individual years of the sample period.

The study uses non-financial corporate rating data; hence, the findings may not apply to credit rating changes in financial corporates and structured finance.

Investors and analysts can incorporate credit rating downgrade by CRAs as a key input in a firm's future financial forecast. Analysts and investment managers can also look at credit rating changes of firms in the same industry and draw a definite conclusion about which firm is likely to see a higher deterioration in performance.

The author has not come across any literature that directly investigates credit rating changes from the perspective of information content about future financial performance.

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Are credit ratings forward-looking? – Evidence from India10.1108/K-03-2023-0511Kybernetes2023-08-23© 2023 Emerald Publishing LimitedChandan SharmaKybernetesahead-of-printahead-of-print2023-08-2310.1108/K-03-2023-0511https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0511/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring the impact of digitalisation and technology on corruption: evidence from cross-country panel data within a cultural-economic frameworkhttps://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0522/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to contribute to the existing literature by empirically investigating the impact of digital competitiveness and technology on corruption under the moderating effect of some cultural and economic control variables and providing evidence on the links between corruption and various cultural dimensions at the country level. The cross-sectional sample covers 61 countries (41 high-income and 20 lower-income countries) during the 2016–2020 period, and the analysis was carried out for both the full sample and the subsamples. The results provide clear evidence supporting the hypothesis that digitalisation and technology significantly affect the perceived level of corruption under the moderating role of cultural framework and economic development. Furthermore, the most significant cultural dimensions of corruption are individualism versus collectivism, uncertainty avoidance, long-term orientation and indulgence versus restraint, even if, in some cases, its influence might be felt differently when the results are estimated on subsamples. Thus, in the case of indulgence versus restraint, high-income countries with higher indulgence scores would register higher scores for the corruption perception index and thus a better control of corruption, while for lower-income countries, the more indulgent these countries are, the weaker the corruption control will be. Furthermore, our results validate a powerful and significant correlation between the index of economic freedom and corruption in both digitalisation and technology. This study may have relevant implications for policymakers who need to recognise the role of digitalisation and technology in the fight against corruption but considering the cultural and economic characteristics specific to each country. To the authors' knowledge, the relationship between digital competitiveness, technology and corruption within an economic and cultural framework, while highlighting the differences between high-income and lower-income countries, has not been previously documented in the literature. Thus, this article argues that the level of digital competitiveness and the adoption of technology would significantly impact the level of perceived corruption, although this impact could be felt differently by countries in the high-income category compared to countries in the lower-level income category.Exploring the impact of digitalisation and technology on corruption: evidence from cross-country panel data within a cultural-economic framework
Cristina Bota-Avram
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to contribute to the existing literature by empirically investigating the impact of digital competitiveness and technology on corruption under the moderating effect of some cultural and economic control variables and providing evidence on the links between corruption and various cultural dimensions at the country level.

The cross-sectional sample covers 61 countries (41 high-income and 20 lower-income countries) during the 2016–2020 period, and the analysis was carried out for both the full sample and the subsamples.

The results provide clear evidence supporting the hypothesis that digitalisation and technology significantly affect the perceived level of corruption under the moderating role of cultural framework and economic development. Furthermore, the most significant cultural dimensions of corruption are individualism versus collectivism, uncertainty avoidance, long-term orientation and indulgence versus restraint, even if, in some cases, its influence might be felt differently when the results are estimated on subsamples. Thus, in the case of indulgence versus restraint, high-income countries with higher indulgence scores would register higher scores for the corruption perception index and thus a better control of corruption, while for lower-income countries, the more indulgent these countries are, the weaker the corruption control will be. Furthermore, our results validate a powerful and significant correlation between the index of economic freedom and corruption in both digitalisation and technology.

This study may have relevant implications for policymakers who need to recognise the role of digitalisation and technology in the fight against corruption but considering the cultural and economic characteristics specific to each country.

To the authors' knowledge, the relationship between digital competitiveness, technology and corruption within an economic and cultural framework, while highlighting the differences between high-income and lower-income countries, has not been previously documented in the literature. Thus, this article argues that the level of digital competitiveness and the adoption of technology would significantly impact the level of perceived corruption, although this impact could be felt differently by countries in the high-income category compared to countries in the lower-level income category.

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Exploring the impact of digitalisation and technology on corruption: evidence from cross-country panel data within a cultural-economic framework10.1108/K-03-2023-0522Kybernetes2023-06-09© 2023 Emerald Publishing LimitedCristina Bota-AvramKybernetesahead-of-printahead-of-print2023-06-0910.1108/K-03-2023-0522https://www.emerald.com/insight/content/doi/10.1108/K-03-2023-0522/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Unveiling the predictors and outcomes of TikTok addiction: the moderating role of parasocial relationshipshttps://www.emerald.com/insight/content/doi/10.1108/K-04-2022-0551/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTechnology addiction is an increasingly severe problem. TikTok has become increasingly popular recently, and its addiction is also a major concern. This study aims to examine the antecedents and outcomes of TikTok addiction. The authors collect 579 data from Chinese users using an online survey. The authors use structural equation modeling with partial least squares (PLS-SEM) to analyze data and test hypotheses. The results illustrate that perceived enjoyment, social relationship, utilitarian need and social influence positively affect TikTok addiction. Both social anxiety and loneliness have positive effects on TikTok addiction. Moreover, parasocial relationships positively moderate the association between the antecedents of self-determination theory (SDT) (perceived enjoyment, social relationship, utilitarian needs, social influence, social anxiety and loneliness) and TikTok addiction. Meanwhile, TikTok addiction intensifies conflicts, including technology-family conflict, technology-person conflict and technology-work conflict. These conflicts reduce life satisfaction. It offers practical implications for preventing and avoiding TikTok addiction to create a healthy environment. This study is one of the few to provide a complete process of TikTok addiction. It systematically investigates the antecedents and outcomes of TikTok addiction.Unveiling the predictors and outcomes of TikTok addiction: the moderating role of parasocial relationships
Naeem Akhtar, Tahir Islam
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Technology addiction is an increasingly severe problem. TikTok has become increasingly popular recently, and its addiction is also a major concern. This study aims to examine the antecedents and outcomes of TikTok addiction.

The authors collect 579 data from Chinese users using an online survey. The authors use structural equation modeling with partial least squares (PLS-SEM) to analyze data and test hypotheses.

The results illustrate that perceived enjoyment, social relationship, utilitarian need and social influence positively affect TikTok addiction. Both social anxiety and loneliness have positive effects on TikTok addiction. Moreover, parasocial relationships positively moderate the association between the antecedents of self-determination theory (SDT) (perceived enjoyment, social relationship, utilitarian needs, social influence, social anxiety and loneliness) and TikTok addiction. Meanwhile, TikTok addiction intensifies conflicts, including technology-family conflict, technology-person conflict and technology-work conflict. These conflicts reduce life satisfaction.

It offers practical implications for preventing and avoiding TikTok addiction to create a healthy environment.

This study is one of the few to provide a complete process of TikTok addiction. It systematically investigates the antecedents and outcomes of TikTok addiction.

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Unveiling the predictors and outcomes of TikTok addiction: the moderating role of parasocial relationships10.1108/K-04-2022-0551Kybernetes2023-10-02© 2023 Emerald Publishing LimitedNaeem AkhtarTahir IslamKybernetesahead-of-printahead-of-print2023-10-0210.1108/K-04-2022-0551https://www.emerald.com/insight/content/doi/10.1108/K-04-2022-0551/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How do enterprises achieve sustainable success in green manufacturing era? The impact of organizational environmental identity on green competitive advantage in Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-04-2022-0597/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDrawing on the “Resource- Capability – Competitive advantage” framework within Natural Resource-Based View, this study is purposed to address problems of manufacturing companies “turning into the green” issues, providing references for manufacturing companies to achieve green competitive advantage via internal motivation and identity perspectives. This study collected survey data from 112 Chinese manufacturing listed enterprises from the Shanghai Stock Exchange, and obtained 418 questionnaires. Following an empirical design, hierarchical regression analysis and Bootstrapping analysis were applied to examine these hypotheses. Results show that green innovation behaviors positively mediate the positive relationship between organizational environmental identity and green competitive advantage. Furthermore, slack resource not only positively moderates the interaction effect between organizational environmental identity and green product innovation behaviors, but also moderates the mediation role of green product innovation behavior in the main effect. The study is limited to the data samples and dynamic evolution between variables. More longitudinal designs and diverse enterprise fields will be considered in future. The findings provide guidance for manufacturing enterprises to gain green competitive advantage in green manufacturing era from identity value origins. Moreover, the results provide practical suggestions for manufacturing enterprises to enhance green innovation behaviors and integrate useful but slack resources. The findings provide implications for manufacturing industry to increase both the awareness of organizational environmental identity and green innovation behaviors, all of which helps promote the corporate environmental responsibility. The study breaks the limitation of the existing literature which focuses on the influence of external push factors (e.g. environmental regulation), and bring new visions in constructing green competitive advantage in green manufacturing era, not only extending the identity theory and upper echelon theory, but also enriching the current studies on green management. Also, these findings provide deeper and new insights into risks and uncertain features of green manufacturing era, analyzing how polluted manufacturing enterprises obtain green competitive advantages through the mediating role of green innovation behaviors and the moderating role of slack resource.How do enterprises achieve sustainable success in green manufacturing era? The impact of organizational environmental identity on green competitive advantage in China
Roulin Chen, Ling Cao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Drawing on the “Resource- Capability – Competitive advantage” framework within Natural Resource-Based View, this study is purposed to address problems of manufacturing companies “turning into the green” issues, providing references for manufacturing companies to achieve green competitive advantage via internal motivation and identity perspectives.

This study collected survey data from 112 Chinese manufacturing listed enterprises from the Shanghai Stock Exchange, and obtained 418 questionnaires. Following an empirical design, hierarchical regression analysis and Bootstrapping analysis were applied to examine these hypotheses.

Results show that green innovation behaviors positively mediate the positive relationship between organizational environmental identity and green competitive advantage. Furthermore, slack resource not only positively moderates the interaction effect between organizational environmental identity and green product innovation behaviors, but also moderates the mediation role of green product innovation behavior in the main effect.

The study is limited to the data samples and dynamic evolution between variables. More longitudinal designs and diverse enterprise fields will be considered in future.

The findings provide guidance for manufacturing enterprises to gain green competitive advantage in green manufacturing era from identity value origins. Moreover, the results provide practical suggestions for manufacturing enterprises to enhance green innovation behaviors and integrate useful but slack resources.

The findings provide implications for manufacturing industry to increase both the awareness of organizational environmental identity and green innovation behaviors, all of which helps promote the corporate environmental responsibility.

The study breaks the limitation of the existing literature which focuses on the influence of external push factors (e.g. environmental regulation), and bring new visions in constructing green competitive advantage in green manufacturing era, not only extending the identity theory and upper echelon theory, but also enriching the current studies on green management. Also, these findings provide deeper and new insights into risks and uncertain features of green manufacturing era, analyzing how polluted manufacturing enterprises obtain green competitive advantages through the mediating role of green innovation behaviors and the moderating role of slack resource.

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How do enterprises achieve sustainable success in green manufacturing era? The impact of organizational environmental identity on green competitive advantage in China10.1108/K-04-2022-0597Kybernetes2023-01-03© 2022 Emerald Publishing LimitedRoulin ChenLing CaoKybernetesahead-of-printahead-of-print2023-01-0310.1108/K-04-2022-0597https://www.emerald.com/insight/content/doi/10.1108/K-04-2022-0597/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
High-performance work systems and future time perspective mediation through two lenses courage and well-being: testing a serial mediation mechanismhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2022-0621/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUpon the premises of social exchange theory (SET), this study aimed at hypothesizing and examining a serial mediation model that investigated the underlying mechanism through which a high-performance work system (HPWS) affects individuals’ future time perspective (FTP). The hypothesized relationships were examined using responses collected from 275 employees from 15 local private banks and 40 established branches through a proportionate stratified sampling technique. The statistical package for social sciences (SPSS) PROCESS macro 3.0 and analysis of moment’s structure (AMOS) 24.0 were employed for data analysis purposes. The study revealed that HPWS is indirectly related to the individuals’ FTP through workplace social courage (WSC) and employee well-being (EWB) sequentially. Prescriptions for theoretical and managerial implications were discussed, and future research viewpoints with limitations were acknowledged. This study illuminated the underlying mechanism and theoretical logic linking HPWS and individuals’ FTP by proposing the serial mediating effect of WSC and EWB.High-performance work systems and future time perspective mediation through two lenses courage and well-being: testing a serial mediation mechanism
Muhammad Mohsin
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Upon the premises of social exchange theory (SET), this study aimed at hypothesizing and examining a serial mediation model that investigated the underlying mechanism through which a high-performance work system (HPWS) affects individuals’ future time perspective (FTP).

The hypothesized relationships were examined using responses collected from 275 employees from 15 local private banks and 40 established branches through a proportionate stratified sampling technique. The statistical package for social sciences (SPSS) PROCESS macro 3.0 and analysis of moment’s structure (AMOS) 24.0 were employed for data analysis purposes.

The study revealed that HPWS is indirectly related to the individuals’ FTP through workplace social courage (WSC) and employee well-being (EWB) sequentially. Prescriptions for theoretical and managerial implications were discussed, and future research viewpoints with limitations were acknowledged.

This study illuminated the underlying mechanism and theoretical logic linking HPWS and individuals’ FTP by proposing the serial mediating effect of WSC and EWB.

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High-performance work systems and future time perspective mediation through two lenses courage and well-being: testing a serial mediation mechanism10.1108/K-04-2022-0621Kybernetes2023-03-03© 2023 Emerald Publishing LimitedMuhammad MohsinKybernetesahead-of-printahead-of-print2023-03-0310.1108/K-04-2022-0621https://www.emerald.com/insight/content/doi/10.1108/K-04-2022-0621/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Auction- and negotiation-based approach with local search for cellular manufacturing systems under traffic jam constraints in magnetic production enterpriseshttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0545/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study addresses the production optimization of a cellular manufacturing system (CMS) in magnetic production enterprises. Magnetic products and raw materials are more critical to transport than general products because the attraction or repulsion between magnetic poles can easily cause traffic jams. This study needs to address a method to promote the scheduling efficiency of the problem. To address this problem, this study formulated a mixed-integer linear programming (MILP) model to describe the problem and proposed an auction and negotiation-based approach with a local search to solve it. Auction- and negotiation-based approaches can obtain feasible and high-quality solutions. A local search operator was proposed to optimize the feasible solutions using an improved conjunctive graph model. Verification tests were performed on a series of numerical examples. The results demonstrated that the proposed auction and negotiation-based approach with a local search operator is better than existing solution methods for the problem identified. Statistical analysis of the experiment results using the Statistical Package for the Social Sciences (SPSS) software demonstrated that the proposed approach is efficient, stable and suitable for solving large-scale numerical instances. An improved auction and negotiation-based approach was proposed; The conjunctive graph model was also improved to describe the problem of CMS with traffic jam constraint and build the local search operator; The authors’ proposed approach can get better solution than the existing algorithms by testing benchmark instances and real-world instances from enterprises.Auction- and negotiation-based approach with local search for cellular manufacturing systems under traffic jam constraints in magnetic production enterprises
Chengkuan Zeng, Shiming Chen, Chongjun Yan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study addresses the production optimization of a cellular manufacturing system (CMS) in magnetic production enterprises. Magnetic products and raw materials are more critical to transport than general products because the attraction or repulsion between magnetic poles can easily cause traffic jams. This study needs to address a method to promote the scheduling efficiency of the problem.

To address this problem, this study formulated a mixed-integer linear programming (MILP) model to describe the problem and proposed an auction and negotiation-based approach with a local search to solve it. Auction- and negotiation-based approaches can obtain feasible and high-quality solutions. A local search operator was proposed to optimize the feasible solutions using an improved conjunctive graph model.

Verification tests were performed on a series of numerical examples. The results demonstrated that the proposed auction and negotiation-based approach with a local search operator is better than existing solution methods for the problem identified. Statistical analysis of the experiment results using the Statistical Package for the Social Sciences (SPSS) software demonstrated that the proposed approach is efficient, stable and suitable for solving large-scale numerical instances.

An improved auction and negotiation-based approach was proposed; The conjunctive graph model was also improved to describe the problem of CMS with traffic jam constraint and build the local search operator; The authors’ proposed approach can get better solution than the existing algorithms by testing benchmark instances and real-world instances from enterprises.

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Auction- and negotiation-based approach with local search for cellular manufacturing systems under traffic jam constraints in magnetic production enterprises10.1108/K-04-2023-0545Kybernetes2023-09-22© 2023 Emerald Publishing LimitedChengkuan ZengShiming ChenChongjun YanKybernetesahead-of-printahead-of-print2023-09-2210.1108/K-04-2023-0545https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0545/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
An integrated optimization model for planning supply chains' resilience and business continuity under interrelated disruptions: a case studyhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0547/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe adverse interactions between disruptions can increase the supply chain's vulnerability. Accordingly, establishing supply chain resilience to deal with disruptions and employing business continuity planning to preserve risk management achievements is of considerable importance. The aforementioned idea is discussed in this study. This study proposes a multi-objective optimization model for employing business continuity management and organizational resilience in a supply chain for responding to multiple interrelated disruptions. The improved augmented e-constraint and the scenario-based robust optimization methods are adopted for multi-objective programming and dealing with uncertainty, respectively. A case study of the automotive battery manufacturing industry is also considered to ensure real-world conformity of the model. The results indicate that interactions between disruptions remarkably increase the supply chain's vulnerability. Choosing a higher fortification level for the supply chain and foreign suppliers reduces disruption impacts on resources and improves the supply chain's resilience and business continuity. Facilities dispersion, fortification of facilities, lateral transshipment, order deferral policy, dynamic capacity planning and direct transportation of products to markets are the most efficient resilience strategies in the under-study industry. Applying resource allocation planning and portfolio selection to adopt preventive and reactive resilience strategies simultaneously to manage multiple interrelated disruptions in a real-world automotive battery manufacturing industry, maintaining the long-term achievements of supply chain resilience using business continuity management and dynamic capacity planning are the main contributions of the presented paper.An integrated optimization model for planning supply chains' resilience and business continuity under interrelated disruptions: a case study
Mohammad Hossein Dehghani Sadrabadi, Ahmad Makui, Rouzbeh Ghousi, Armin Jabbarzadeh
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The adverse interactions between disruptions can increase the supply chain's vulnerability. Accordingly, establishing supply chain resilience to deal with disruptions and employing business continuity planning to preserve risk management achievements is of considerable importance. The aforementioned idea is discussed in this study.

This study proposes a multi-objective optimization model for employing business continuity management and organizational resilience in a supply chain for responding to multiple interrelated disruptions. The improved augmented e-constraint and the scenario-based robust optimization methods are adopted for multi-objective programming and dealing with uncertainty, respectively. A case study of the automotive battery manufacturing industry is also considered to ensure real-world conformity of the model.

The results indicate that interactions between disruptions remarkably increase the supply chain's vulnerability. Choosing a higher fortification level for the supply chain and foreign suppliers reduces disruption impacts on resources and improves the supply chain's resilience and business continuity. Facilities dispersion, fortification of facilities, lateral transshipment, order deferral policy, dynamic capacity planning and direct transportation of products to markets are the most efficient resilience strategies in the under-study industry.

Applying resource allocation planning and portfolio selection to adopt preventive and reactive resilience strategies simultaneously to manage multiple interrelated disruptions in a real-world automotive battery manufacturing industry, maintaining the long-term achievements of supply chain resilience using business continuity management and dynamic capacity planning are the main contributions of the presented paper.

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An integrated optimization model for planning supply chains' resilience and business continuity under interrelated disruptions: a case study10.1108/K-04-2023-0547Kybernetes2023-09-12© 2023 Emerald Publishing LimitedMohammad Hossein Dehghani SadrabadiAhmad MakuiRouzbeh GhousiArmin JabbarzadehKybernetesahead-of-printahead-of-print2023-09-1210.1108/K-04-2023-0547https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0547/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Understanding the social capital – happiness link among online brand communities: influence of psychological well-being and membership durationhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0566/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestBased on the principles of the social capital theory (SCT), this study aimed to generate hypotheses and evaluate a mediated moderated model that examined the impact of social capital on online brand community happiness (OBCH). Using 215 online questionnaires from users of private online brand communities (OBCs) , researchers examined the hypothesized connections between variables. The SPSS 21.0 and AMOS 26.0 were applied to fulfill the purpose. For the goodness of model fit, the authors have applied cut off criteria for fit indexes given by Hu and Bentler (1999) and model-fit measures indicators, i.e. CMIN/DF 1.397, CFI 0.958, SRMR 0.045, RMSEA 0.043 and PCLOSE 0.866, which meet the minimum acceptable criteria. Based on the results, social capital significantly affects psychological well-being (PWB), which, consequently, leads toward increased happiness among OBCs. Furthermore, membership duration moderates the relationship between PWB and OBCs. The authors have utilized a cross-sectional research design, and it limits the researcher’s ability to generalize the findings. These findings imply how social capital leverages PWB and OBCH. Moreover, the presence of membership duration helps to understand that members who spend more time in the community are happier in the OBCs. In this age of social media, it provides valuable guidance to the administrators of private Facebook groups dedicated to specific brands, enhancing the definition and development of OBC operations and community interactions. This research takes a broader look at social capital’s impact on happiness among private OBCs. The current research contributes to the existing body of work by emphasizing the role of PWB in generating happiness. The study is novel in examining the mediating moderating model of PWB and membership duration to explore deep insights for social media platforms.Understanding the social capital – happiness link among online brand communities: influence of psychological well-being and membership duration
Muhammad Adeel Abid, Muhammad Mohsin, Nadia Nasir, Tayyaba Rafique
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Based on the principles of the social capital theory (SCT), this study aimed to generate hypotheses and evaluate a mediated moderated model that examined the impact of social capital on online brand community happiness (OBCH).

Using 215 online questionnaires from users of private online brand communities (OBCs) , researchers examined the hypothesized connections between variables. The SPSS 21.0 and AMOS 26.0 were applied to fulfill the purpose.

For the goodness of model fit, the authors have applied cut off criteria for fit indexes given by Hu and Bentler (1999) and model-fit measures indicators, i.e. CMIN/DF 1.397, CFI 0.958, SRMR 0.045, RMSEA 0.043 and PCLOSE 0.866, which meet the minimum acceptable criteria. Based on the results, social capital significantly affects psychological well-being (PWB), which, consequently, leads toward increased happiness among OBCs. Furthermore, membership duration moderates the relationship between PWB and OBCs.

The authors have utilized a cross-sectional research design, and it limits the researcher’s ability to generalize the findings. These findings imply how social capital leverages PWB and OBCH. Moreover, the presence of membership duration helps to understand that members who spend more time in the community are happier in the OBCs.

In this age of social media, it provides valuable guidance to the administrators of private Facebook groups dedicated to specific brands, enhancing the definition and development of OBC operations and community interactions.

This research takes a broader look at social capital’s impact on happiness among private OBCs. The current research contributes to the existing body of work by emphasizing the role of PWB in generating happiness. The study is novel in examining the mediating moderating model of PWB and membership duration to explore deep insights for social media platforms.

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Understanding the social capital – happiness link among online brand communities: influence of psychological well-being and membership duration10.1108/K-04-2023-0566Kybernetes2024-01-05© 2023 Emerald Publishing LimitedMuhammad Adeel AbidMuhammad MohsinNadia NasirTayyaba RafiqueKybernetesahead-of-printahead-of-print2024-01-0510.1108/K-04-2023-0566https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0566/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Investigating quality factors of interactive fitness games based on Kano modelhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0569/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe rise of interactive fitness games in the post-epidemic era has resulted in the need to establish a quality evaluation index system. This study aims to develop such a system and provide a reference for enhancing the quality of interactive fitness games. To achieve this, interviews and questionnaires were conducted to identify the factors that influence the quality of interactive fitness games. The Kano model and SII (Satisfaction Increment Index)-Dissatisfaction Decrement Index (DDI) two-dimensional quadrant analysis were then used to explore differences in quality judgment between males and females, as well as their priorities for improving interactive fitness games. The study revealed that males and females have different quality judgments for “rich and diverse content,” “motivational value,” “sensitive motion recognition detection” and “portability.” However, both genders share similar views on the other quality factors. In addition, the study identified differences in the priority of improvement between men and women. “Very interesting,” “effective fitness achievement,” “motivating fitness maintenance,” “sensitive motion recognition detection,” “portability” and “educational value” were found to be of higher priority for men than women. These findings provide a valuable theoretical reference for developers and designers of interactive fitness games seeking to enhance the user experience.Investigating quality factors of interactive fitness games based on Kano model
Qianling Jiang, Zheng Wang, Jie Sun
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The rise of interactive fitness games in the post-epidemic era has resulted in the need to establish a quality evaluation index system. This study aims to develop such a system and provide a reference for enhancing the quality of interactive fitness games.

To achieve this, interviews and questionnaires were conducted to identify the factors that influence the quality of interactive fitness games. The Kano model and SII (Satisfaction Increment Index)-Dissatisfaction Decrement Index (DDI) two-dimensional quadrant analysis were then used to explore differences in quality judgment between males and females, as well as their priorities for improving interactive fitness games.

The study revealed that males and females have different quality judgments for “rich and diverse content,” “motivational value,” “sensitive motion recognition detection” and “portability.” However, both genders share similar views on the other quality factors. In addition, the study identified differences in the priority of improvement between men and women. “Very interesting,” “effective fitness achievement,” “motivating fitness maintenance,” “sensitive motion recognition detection,” “portability” and “educational value” were found to be of higher priority for men than women.

These findings provide a valuable theoretical reference for developers and designers of interactive fitness games seeking to enhance the user experience.

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Investigating quality factors of interactive fitness games based on Kano model10.1108/K-04-2023-0569Kybernetes2023-09-05© 2023 Emerald Publishing LimitedQianling JiangZheng WangJie SunKybernetesahead-of-printahead-of-print2023-09-0510.1108/K-04-2023-0569https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0569/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Risky? So, why people are getting back to invest in cryptocurrencies? The United Arab Emirates as a casehttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0572/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to investigate the determinants of users' intention to continue to invest in cryptocurrencies. The paper also aims to examine the impact of hedonic motivation and the legal environment on perceived value in cryptocurrencies. A questionnaire was designed to obtain data from 258 respondents in UAE. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) was used to evaluate the research model and test the hypotheses. The results of smart PLS path analysis showed that perceived value, hedonic motivation, gambling attitude, and price volatility were significant determinants of the continued intention to invest in cryptocurrency. This study also revealed that hedonic motivation enhances perceived value and improves the perception of cryptocurrencies value from user's perspective. This study provides new insights into the literature on cryptocurrencies adoption, and delivers advanced understanding about the determinants of user's intention to continue investing in cryptocurrencies. In addition, the study provides important practical implications for cryptocurrencies companies to promote this financial technology to users by enhancing the knowledge of policy makers about how investors think and get motivated towards a continued investment of cryptocurrencies.Risky? So, why people are getting back to invest in cryptocurrencies? The United Arab Emirates as a case
Ayman Abdalmajeed Alsmadi, Ahmed Shuhaiber, Khaled Saleh Al-Omoush
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to investigate the determinants of users' intention to continue to invest in cryptocurrencies. The paper also aims to examine the impact of hedonic motivation and the legal environment on perceived value in cryptocurrencies.

A questionnaire was designed to obtain data from 258 respondents in UAE. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) was used to evaluate the research model and test the hypotheses.

The results of smart PLS path analysis showed that perceived value, hedonic motivation, gambling attitude, and price volatility were significant determinants of the continued intention to invest in cryptocurrency. This study also revealed that hedonic motivation enhances perceived value and improves the perception of cryptocurrencies value from user's perspective.

This study provides new insights into the literature on cryptocurrencies adoption, and delivers advanced understanding about the determinants of user's intention to continue investing in cryptocurrencies. In addition, the study provides important practical implications for cryptocurrencies companies to promote this financial technology to users by enhancing the knowledge of policy makers about how investors think and get motivated towards a continued investment of cryptocurrencies.

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Risky? So, why people are getting back to invest in cryptocurrencies? The United Arab Emirates as a case10.1108/K-04-2023-0572Kybernetes2023-07-27© 2023 Emerald Publishing LimitedAyman Abdalmajeed AlsmadiAhmed ShuhaiberKhaled Saleh Al-OmoushKybernetesahead-of-printahead-of-print2023-07-2710.1108/K-04-2023-0572https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0572/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Netizens' concerns during COVID-19: a topic evolution analysis of Chinese social media platformshttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0583/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study analyzes the evolution of topics related to COVID-19 on Chinese social media platforms with the aim of identifying changes in netizens' concerns during the different stages of the pandemic. In total, 793,947 posts were collected from Zhihu, a Chinese Question and Answer website, and Dingxiangyuan, a Chinese online healthcare community, from 31 December, 2019, to 4 August, 2021. Topics were extracted during the prodromal and outbreak stages, and in the abatement–resurgence cycle. Netizens' concerns varied in different stages. During the prodromal and outbreak stages, netizens showed greater concern about COVID-19 news, the impact of COVID-19 and the prevention and control of COVID-19. During the first round of the abatement and resurgence stage, netizens remained concerned about COVID-19 news and the prevention and control of the pandemic, however, less attention was paid to the impact of COVID-19. During later stages, popularity grew in topics concerning the impact of COVID-19, while netizens engaged more in discussions about international events and the raising of spirits to fight the global pandemic. This study contributes to the practice by providing a way for the government and policy makers to retrospect the pandemic and thereby make a good preparation to take proper measures to communicate with citizens and address their demands in similar situations in the future. This study contributes to the literature by applying an adapted version of Fink's (1986) crisis life cycle to create a five-stage evolution model to understand the repeated resurgence of COVID-19 in Mainland China.Netizens' concerns during COVID-19: a topic evolution analysis of Chinese social media platforms
Zhaohua Deng, Rongyang Ma, Manli Wu, Richard Evans
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study analyzes the evolution of topics related to COVID-19 on Chinese social media platforms with the aim of identifying changes in netizens' concerns during the different stages of the pandemic.

In total, 793,947 posts were collected from Zhihu, a Chinese Question and Answer website, and Dingxiangyuan, a Chinese online healthcare community, from 31 December, 2019, to 4 August, 2021. Topics were extracted during the prodromal and outbreak stages, and in the abatement–resurgence cycle.

Netizens' concerns varied in different stages. During the prodromal and outbreak stages, netizens showed greater concern about COVID-19 news, the impact of COVID-19 and the prevention and control of COVID-19. During the first round of the abatement and resurgence stage, netizens remained concerned about COVID-19 news and the prevention and control of the pandemic, however, less attention was paid to the impact of COVID-19. During later stages, popularity grew in topics concerning the impact of COVID-19, while netizens engaged more in discussions about international events and the raising of spirits to fight the global pandemic.

This study contributes to the practice by providing a way for the government and policy makers to retrospect the pandemic and thereby make a good preparation to take proper measures to communicate with citizens and address their demands in similar situations in the future.

This study contributes to the literature by applying an adapted version of Fink's (1986) crisis life cycle to create a five-stage evolution model to understand the repeated resurgence of COVID-19 in Mainland China.

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Netizens' concerns during COVID-19: a topic evolution analysis of Chinese social media platforms10.1108/K-04-2023-0583Kybernetes2023-11-21© 2023 Emerald Publishing LimitedZhaohua DengRongyang MaManli WuRichard EvansKybernetesahead-of-printahead-of-print2023-11-2110.1108/K-04-2023-0583https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0583/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Competition or cooperation? Exploring the impact of dominant modes on the competitive relationship in CLSChttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0585/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe paper proposes a two-level closed-loop supply chain (CLSC) dynamic competitive model based on different competitive cooperation situations, and explores the impact of competitive cooperation methods on the pricing strategies, recycling and remanufacturing strategies and competitive model selection strategies of supply chain firms. This paper establishes a CLSC game consisting of a manufacturer and two retailers. Firstly, five CLSC models are established in both horizontal and vertical dimensions, each of which competes with one another. Secondly, the recycling and remanufacturing pricing strategies are analyzed under different competition or cooperation models. Finally, the results are verified through numerical analysis. The overall profitability of the CLSC is highest when the manufacturer–retailer partnership alliance is in place. The relationship between retailers and manufacturers is also found to be the best way to achieve overall optimization of the CLSC. The paper investigates the relationship between the competitive partnership and the total profit of the CLSC, taking into account how to optimize the overall benefit, and focusing on how to optimize the individual interests of each participating enterprise. The results can provide basis and guidance for managers' pricing decision and competition cooperation.Competition or cooperation? Exploring the impact of dominant modes on the competitive relationship in CLSC
Jie Jian, Xingyu Yang, Shu Niu, Jiafu Su
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The paper proposes a two-level closed-loop supply chain (CLSC) dynamic competitive model based on different competitive cooperation situations, and explores the impact of competitive cooperation methods on the pricing strategies, recycling and remanufacturing strategies and competitive model selection strategies of supply chain firms.

This paper establishes a CLSC game consisting of a manufacturer and two retailers. Firstly, five CLSC models are established in both horizontal and vertical dimensions, each of which competes with one another. Secondly, the recycling and remanufacturing pricing strategies are analyzed under different competition or cooperation models. Finally, the results are verified through numerical analysis.

The overall profitability of the CLSC is highest when the manufacturer–retailer partnership alliance is in place. The relationship between retailers and manufacturers is also found to be the best way to achieve overall optimization of the CLSC.

The paper investigates the relationship between the competitive partnership and the total profit of the CLSC, taking into account how to optimize the overall benefit, and focusing on how to optimize the individual interests of each participating enterprise. The results can provide basis and guidance for managers' pricing decision and competition cooperation.

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Competition or cooperation? Exploring the impact of dominant modes on the competitive relationship in CLSC10.1108/K-04-2023-0585Kybernetes2023-10-12© 2023 Emerald Publishing LimitedJie JianXingyu YangShu NiuJiafu SuKybernetesahead-of-printahead-of-print2023-10-1210.1108/K-04-2023-0585https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0585/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Physical inactivity among university students in Pakistanhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0593/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestPhysical activity is an eminent practice for the maintenance of physical and mental health. Physical fitness always enables students to perform their various tasks efficiently specifically in academic performance. Student health is a principal factor for the performance of all kinds of activities particularly in academic performance. This study aimed to evaluate physical activity among university students and the factors for being inactive. A questionnaire was designed and distributed among the students via WhatsApp, Skype and email, however, some responses were collected physically to maintain the quality of data. The questionnaire was categorized into demographic factors, current physical activity status and reasons for physical inactivity. Each section was further divided into questions and total 24 questions were asked from each individual for evaluation of inactiveness. The finding of this research explored that enormous number of students are doing part time jobs and unable to find enough time for relaxation. The research was limited and evaluated limited factors and explored that 60.6% of students had less time for entertainment and this is only 2 h for this 60.6% of students. Among all factors of physical activity walking was preferable for 48.34% of the students. Students want to participate in healthy activities. Moreover, students are unable to perform physical exercise due to busy schedules of jobs (47.02%), part-time job burden (15.89%), study burden (35.10%) and poor health conditions (1.32%). This study concluded that higher percentage of students have stress of limited resources and under this stress condition they are unable to take a balanced diet which they considered cost-effective. They did not perform maximum in their academic and daily activities and did not participate in sports activities. It was also observed that institutions did not provide a sufficient platform for physical activity for students. The research shows the factors which affect the student’s academic performance as being physically inactive. Evaluation of results explored that numerous students have limited resources during their career development and their attention remain diverted to overcome their limited resources which keep them physically unfit. The findings also explored that physically inactive students have heavy study and job burden which is not overcome and analyzed by their institutions.Physical inactivity among university students in Pakistan
Nafeesa Safdar, Qamar Ali, Aiman Zahra, Tanveer Hussain
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Physical activity is an eminent practice for the maintenance of physical and mental health. Physical fitness always enables students to perform their various tasks efficiently specifically in academic performance. Student health is a principal factor for the performance of all kinds of activities particularly in academic performance. This study aimed to evaluate physical activity among university students and the factors for being inactive.

A questionnaire was designed and distributed among the students via WhatsApp, Skype and email, however, some responses were collected physically to maintain the quality of data. The questionnaire was categorized into demographic factors, current physical activity status and reasons for physical inactivity. Each section was further divided into questions and total 24 questions were asked from each individual for evaluation of inactiveness.

The finding of this research explored that enormous number of students are doing part time jobs and unable to find enough time for relaxation. The research was limited and evaluated limited factors and explored that 60.6% of students had less time for entertainment and this is only 2 h for this 60.6% of students. Among all factors of physical activity walking was preferable for 48.34% of the students. Students want to participate in healthy activities. Moreover, students are unable to perform physical exercise due to busy schedules of jobs (47.02%), part-time job burden (15.89%), study burden (35.10%) and poor health conditions (1.32%).

This study concluded that higher percentage of students have stress of limited resources and under this stress condition they are unable to take a balanced diet which they considered cost-effective. They did not perform maximum in their academic and daily activities and did not participate in sports activities. It was also observed that institutions did not provide a sufficient platform for physical activity for students. The research shows the factors which affect the student’s academic performance as being physically inactive. Evaluation of results explored that numerous students have limited resources during their career development and their attention remain diverted to overcome their limited resources which keep them physically unfit. The findings also explored that physically inactive students have heavy study and job burden which is not overcome and analyzed by their institutions.

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Physical inactivity among university students in Pakistan10.1108/K-04-2023-0593Kybernetes2024-01-18© 2023 Emerald Publishing LimitedNafeesa SafdarQamar AliAiman ZahraTanveer HussainKybernetesahead-of-printahead-of-print2024-01-1810.1108/K-04-2023-0593https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0593/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The role of investor protection in stock price crash risk: a comparison of developing and developed Asian economieshttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0620/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study examines the influence of investor protection on stock price crash risk (SPCR) in Asian economies. This study used yearly data from 432 nonfinancial companies publicly listed firms in six countries (i.e., China, India, Pakistan, Hong Kong, Japan and Singapore) from 2007 to 2020 to investigate the relationship between investor protection and the risk of stock price crashes. The hypothesis was tested using a generalized least square panel regression. The results suggest that investor protection significantly affects SPCR in Asian economies. Furthermore, the findings show that the stocks of firms whose investors received the best protection were less prone to crash in developed Asian economies. However, in developing Asian economies, the stocks of firms whose investors received the best protection were more prone to crashes. It provides awareness and understanding of how the level of investor protection affects SPCR, which could be useful for decision-makers and professionals across a spectrum of financial and non-financial institutions, such as portfolio managers and traders in commercial banks, investment banks and mutual funds. This knowledge enables informed decision-making and the formulation of effective policies to manage stock market volatility. This study appears to be the first of its kind to focus on the link between investor protection and SPCR within the specific context of developed and developing Asian economies.The role of investor protection in stock price crash risk: a comparison of developing and developed Asian economies
Muhammad Jawad Haider, Maqsood Ahmad, Qiang Wu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study examines the influence of investor protection on stock price crash risk (SPCR) in Asian economies.

This study used yearly data from 432 nonfinancial companies publicly listed firms in six countries (i.e., China, India, Pakistan, Hong Kong, Japan and Singapore) from 2007 to 2020 to investigate the relationship between investor protection and the risk of stock price crashes. The hypothesis was tested using a generalized least square panel regression.

The results suggest that investor protection significantly affects SPCR in Asian economies. Furthermore, the findings show that the stocks of firms whose investors received the best protection were less prone to crash in developed Asian economies. However, in developing Asian economies, the stocks of firms whose investors received the best protection were more prone to crashes.

It provides awareness and understanding of how the level of investor protection affects SPCR, which could be useful for decision-makers and professionals across a spectrum of financial and non-financial institutions, such as portfolio managers and traders in commercial banks, investment banks and mutual funds. This knowledge enables informed decision-making and the formulation of effective policies to manage stock market volatility.

This study appears to be the first of its kind to focus on the link between investor protection and SPCR within the specific context of developed and developing Asian economies.

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The role of investor protection in stock price crash risk: a comparison of developing and developed Asian economies10.1108/K-04-2023-0620Kybernetes2023-09-14© 2023 Emerald Publishing LimitedMuhammad Jawad HaiderMaqsood AhmadQiang WuKybernetesahead-of-printahead-of-print2023-09-1410.1108/K-04-2023-0620https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0620/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A bibliometric analysis on the application of deep learning in finance: status, development and future directionshttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0637/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDeep learning (DL) is a new and relatively unexplored field that finds immense applications in many industries, especially ones that must make detailed observations, inferences and predictions based on extensive and scattered datasets. The purpose of this paper is to answer the following questions: (1) To what extent has DL penetrated the research being done in finance? (2) What areas of financial research have applications of DL, and what quality of work has been done in the niches? (3) What areas still need to be explored and have scope for future research? This paper employs bibliometric analysis, a potent yet simple methodology with numerous applications in literature reviews. This paper focuses on citation analysis, author impacts, relevant and vital journals, co-citation analysis, bibliometric coupling and co-occurrence analysis. The authors collected 693 articles published in 2000–2022 from journals indexed in the Scopus database. Multiple software (VOSviewer, RStudio (biblioshiny) and Excel) were employed to analyze the data. The findings reveal significant and renowned authors' impact in the field. The analysis indicated that the application of DL in finance has been on an upward track since 2017. The authors find four broad research areas (neural networks and stock market simulations; portfolio optimization and risk management; time series analysis and forecasting; high-frequency trading) with different degrees of intertwining and emerging research topics with the application of DL in finance. This article contributes to the literature by providing a systematic overview of the DL developments, trajectories, objectives and potential future research topics in finance. The findings of this paper act as a guide for literature review for anyone interested in doing research in the intersection of finance and DL. The article also explores multiple areas of research that have yet to be studied to a great extent and have abundant scope. Very few studies have explored the applications of machine learning (ML), namely, DL in finance, which is a much more specialized subset of ML. The authors look at the problem from the aspect of different techniques in DL that have been used in finance. This is the first qualitative (content analysis) and quantitative (bibliometric analysis) assessment of current research on DL in finance.A bibliometric analysis on the application of deep learning in finance: status, development and future directions
R.L. Manogna, Aayush Anand
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Deep learning (DL) is a new and relatively unexplored field that finds immense applications in many industries, especially ones that must make detailed observations, inferences and predictions based on extensive and scattered datasets. The purpose of this paper is to answer the following questions: (1) To what extent has DL penetrated the research being done in finance? (2) What areas of financial research have applications of DL, and what quality of work has been done in the niches? (3) What areas still need to be explored and have scope for future research?

This paper employs bibliometric analysis, a potent yet simple methodology with numerous applications in literature reviews. This paper focuses on citation analysis, author impacts, relevant and vital journals, co-citation analysis, bibliometric coupling and co-occurrence analysis. The authors collected 693 articles published in 2000–2022 from journals indexed in the Scopus database. Multiple software (VOSviewer, RStudio (biblioshiny) and Excel) were employed to analyze the data.

The findings reveal significant and renowned authors' impact in the field. The analysis indicated that the application of DL in finance has been on an upward track since 2017. The authors find four broad research areas (neural networks and stock market simulations; portfolio optimization and risk management; time series analysis and forecasting; high-frequency trading) with different degrees of intertwining and emerging research topics with the application of DL in finance. This article contributes to the literature by providing a systematic overview of the DL developments, trajectories, objectives and potential future research topics in finance.

The findings of this paper act as a guide for literature review for anyone interested in doing research in the intersection of finance and DL. The article also explores multiple areas of research that have yet to be studied to a great extent and have abundant scope.

Very few studies have explored the applications of machine learning (ML), namely, DL in finance, which is a much more specialized subset of ML. The authors look at the problem from the aspect of different techniques in DL that have been used in finance. This is the first qualitative (content analysis) and quantitative (bibliometric analysis) assessment of current research on DL in finance.

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A bibliometric analysis on the application of deep learning in finance: status, development and future directions10.1108/K-04-2023-0637Kybernetes2023-10-12© 2023 Emerald Publishing LimitedR.L. ManognaAayush AnandKybernetesahead-of-printahead-of-print2023-10-1210.1108/K-04-2023-0637https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0637/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Attaining global peace and tourism competitiveness: linkages between tourism, security measures and economic stabilityhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0642/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe Sustainable Development Goal (SDG) 16 outlines sustainability as associated with peace, good governance and justice. The perception of international tourists about security measures and risks is a key factor affecting destination choices, tourist flow and overall satisfaction. Thus, we investigate the impact of armed forces personnel, prices, economic stability, financial development and infrastructure on tourism. This research used data from 130 countries from 1995 to 2019, which were divided into four income groups. This study employs a two-step generalized method of moments (GMM) technique and a novel tourism index comprising five relevant indicators of tourism. A 1% increase in armed forces personnel expands tourism in all income groups – 0.369% High Income Countries (HICs), 0.348% Upper Middle Income Countries (UMICs), 0.247% Lower Middle Income Countries (LMICs) and 0.139% Low Income Countries (LICs). The size of the tourism-safety coefficient decreases from high to low-income groups. The impact of inflation is significantly negative in all panels, excluding LICs. The reduction in tourism was 0.033% in HICs, 0.049% in UMICs and 0.029% in LMICs for a 1% increase in prices. The increase in the global tourism index is more in LICs (0.055%), followed by LMICs (0.024%), UMICs (0.009%) and HICs (0.004%) for a 1% expansion in the gross domestic product (GDP)/capita growth. However, the magnitude of the growth-led tourism impact is greater in developing countries. A positive impact of foreign direct investment (FDI) inflow was found in all panels like 0.016% in HICs, 0.050% in UMICs and 0.119% in LMICs for a 1% increase in FDI inflow. The rise in the global tourism index is 0.097% (HICs), 0.124% (UMICs) and 0.310% (LMICs) for a 1% rise in the financial development index. The increase in the global tourism index is 0.487% (HICs), 0.420% (UMICs) and 0.136% (LICs) for a 1% rise in the infrastructure index. Empirical analysis infers important policy implications such as (a) establishment of a peaceful environment via recruitment of security personnel, use of safe city cameras, modern technology and law enforcement; (b) provision of basic facilities to tourists like sanitation, drinking water, electricity, accommodation, quality food, fuel and communication network and (c) price stability through different tools of monetary and fiscal policy. First, it explains the effect of security personnel on a comprehensive index of tourism instead of a single variable of tourism. Second, it captures the importance of economic stability (i.e., economic growth, financial development and FDI inflow) in the tourism–peace nexus.Attaining global peace and tourism competitiveness: linkages between tourism, security measures and economic stability
Xiaoying Liu, Qamar Ali, Muhammad Rizwan Yaseen, Samuel Asumadu Sarkodie, Muhammad Sohail Amjad Makhdum, Muhammad Tariq Iqbal Khan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The Sustainable Development Goal (SDG) 16 outlines sustainability as associated with peace, good governance and justice. The perception of international tourists about security measures and risks is a key factor affecting destination choices, tourist flow and overall satisfaction. Thus, we investigate the impact of armed forces personnel, prices, economic stability, financial development and infrastructure on tourism.

This research used data from 130 countries from 1995 to 2019, which were divided into four income groups. This study employs a two-step generalized method of moments (GMM) technique and a novel tourism index comprising five relevant indicators of tourism.

A 1% increase in armed forces personnel expands tourism in all income groups – 0.369% High Income Countries (HICs), 0.348% Upper Middle Income Countries (UMICs), 0.247% Lower Middle Income Countries (LMICs) and 0.139% Low Income Countries (LICs). The size of the tourism-safety coefficient decreases from high to low-income groups. The impact of inflation is significantly negative in all panels, excluding LICs. The reduction in tourism was 0.033% in HICs, 0.049% in UMICs and 0.029% in LMICs for a 1% increase in prices. The increase in the global tourism index is more in LICs (0.055%), followed by LMICs (0.024%), UMICs (0.009%) and HICs (0.004%) for a 1% expansion in the gross domestic product (GDP)/capita growth. However, the magnitude of the growth-led tourism impact is greater in developing countries. A positive impact of foreign direct investment (FDI) inflow was found in all panels like 0.016% in HICs, 0.050% in UMICs and 0.119% in LMICs for a 1% increase in FDI inflow. The rise in the global tourism index is 0.097% (HICs), 0.124% (UMICs) and 0.310% (LMICs) for a 1% rise in the financial development index. The increase in the global tourism index is 0.487% (HICs), 0.420% (UMICs) and 0.136% (LICs) for a 1% rise in the infrastructure index.

Empirical analysis infers important policy implications such as (a) establishment of a peaceful environment via recruitment of security personnel, use of safe city cameras, modern technology and law enforcement; (b) provision of basic facilities to tourists like sanitation, drinking water, electricity, accommodation, quality food, fuel and communication network and (c) price stability through different tools of monetary and fiscal policy.

First, it explains the effect of security personnel on a comprehensive index of tourism instead of a single variable of tourism. Second, it captures the importance of economic stability (i.e., economic growth, financial development and FDI inflow) in the tourism–peace nexus.

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Attaining global peace and tourism competitiveness: linkages between tourism, security measures and economic stability10.1108/K-04-2023-0642Kybernetes2024-02-21© 2024 Emerald Publishing LimitedXiaoying LiuQamar AliMuhammad Rizwan YaseenSamuel Asumadu SarkodieMuhammad Sohail Amjad MakhdumMuhammad Tariq Iqbal KhanKybernetesahead-of-printahead-of-print2024-02-2110.1108/K-04-2023-0642https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0642/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Urban tourism destination image: a bibliometric visualization reviewhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0646/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to systematically visualize the structure and trends from 2005 to 2021, which will help scholars gain a deeper appreciation for existing studies and grasp future research possibilities and directions. The approach is bibliometric, using VOSviewer and CiteSpace to analyze 765 journal articles and reviews from the Web of Science (WoS) and Scopus databases over the past 16 years. There is considerable interest in urban tourism destination image (U-TDI), partly because of the role of image in promoting the economic development of urban tourism and the associated benefits to stakeholders. Most research output concerns China, the USA, Spain and the United Kingdom (UK); research in the USA context has had a particularly wide range of influence. Highly cited journals play a crucial role, while subject structure, key articles and high-frequency keywords indicate popular topics, sub-themes and development trends. Drawing on these findings, the authors identify four topics that deserve further study. This systematic review will enhance understanding of U-TDI research and inform future research directions as well as highlighting the need to explore destination image in greater depth, it guides policymakers in the tourism industry seeking to develop city image.Urban tourism destination image: a bibliometric visualization review
Xin Guo
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to systematically visualize the structure and trends from 2005 to 2021, which will help scholars gain a deeper appreciation for existing studies and grasp future research possibilities and directions.

The approach is bibliometric, using VOSviewer and CiteSpace to analyze 765 journal articles and reviews from the Web of Science (WoS) and Scopus databases over the past 16 years.

There is considerable interest in urban tourism destination image (U-TDI), partly because of the role of image in promoting the economic development of urban tourism and the associated benefits to stakeholders. Most research output concerns China, the USA, Spain and the United Kingdom (UK); research in the USA context has had a particularly wide range of influence. Highly cited journals play a crucial role, while subject structure, key articles and high-frequency keywords indicate popular topics, sub-themes and development trends. Drawing on these findings, the authors identify four topics that deserve further study.

This systematic review will enhance understanding of U-TDI research and inform future research directions as well as highlighting the need to explore destination image in greater depth, it guides policymakers in the tourism industry seeking to develop city image.

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Urban tourism destination image: a bibliometric visualization review10.1108/K-04-2023-0646Kybernetes2023-08-01© 2023 Emerald Publishing LimitedXin GuoKybernetesahead-of-printahead-of-print2023-08-0110.1108/K-04-2023-0646https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0646/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Quality and selling format choices in a supply chain considering remanufacturing competitionhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0648/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to explore the interplay between the selection of selling formats of remanufactured products for a third-party remanufacturer (TPR) and the quality decision of an original equipment manufacturer (OEM). This study considers a remanufacturing supply chain, where the OEM sells new products through a platform retailer, but the products remanufactured by the TPR can be sold via a direct or indirect channel. The authors model a Stackelberg game and explore the optimal quality decision of the OEM and selling format choice of the TPR. The OEM's optimal decision depends mainly on consumers' discounted utility coefficient and cost-scale factor of remanufactured products. A higher consumers' valuation of the remanufactured product will not result in a higher retail price, but may lead to an increase in new product's sales. Given the cost-scale factor, the TPR prefers to sell directly no matter what the value of consumers' discounted utility coefficient is. An all-win situation is achieved with selling directly when consumers' discounted utility coefficient is sufficiently large. These results provide some support to the operational strategies of the OEM and TPR. This study firstly endogenizes the quality decision and combines the selling format selection of the TPR and the quality decision of the OEM to explore the interplay between these two important decisions.Quality and selling format choices in a supply chain considering remanufacturing competition
Wen Zhang, Mingzhuo Dai
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to explore the interplay between the selection of selling formats of remanufactured products for a third-party remanufacturer (TPR) and the quality decision of an original equipment manufacturer (OEM).

This study considers a remanufacturing supply chain, where the OEM sells new products through a platform retailer, but the products remanufactured by the TPR can be sold via a direct or indirect channel. The authors model a Stackelberg game and explore the optimal quality decision of the OEM and selling format choice of the TPR.

The OEM's optimal decision depends mainly on consumers' discounted utility coefficient and cost-scale factor of remanufactured products. A higher consumers' valuation of the remanufactured product will not result in a higher retail price, but may lead to an increase in new product's sales. Given the cost-scale factor, the TPR prefers to sell directly no matter what the value of consumers' discounted utility coefficient is. An all-win situation is achieved with selling directly when consumers' discounted utility coefficient is sufficiently large.

These results provide some support to the operational strategies of the OEM and TPR.

This study firstly endogenizes the quality decision and combines the selling format selection of the TPR and the quality decision of the OEM to explore the interplay between these two important decisions.

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Quality and selling format choices in a supply chain considering remanufacturing competition10.1108/K-04-2023-0648Kybernetes2023-11-13© 2023 Emerald Publishing LimitedWen ZhangMingzhuo DaiKybernetesahead-of-printahead-of-print2023-11-1310.1108/K-04-2023-0648https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0648/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effects of low-carbon awareness on remanufacturing strategy in the presence of competitionhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0658/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper examines how the level of low-carbon awareness (LCA) affects the remanufacturing strategy in a supply chain with an original equipment manufacturer (OEM) and an independent remanufacturer (IR) competing with each other. Game theory and operations optimization. The studies analytically characterize the threshold levels of the LCA in response to which the OEM and the IR will change their remanufacturing strategies from no remanufacturing to partial remanufacturing and then to full remanufacturing. In addition, the studies reveal that as compared with the OEM, the IR has more flexibility in terms of the market entry to remanufacturing with the level of LCA increasing. With the extended studies, it is exhibited that the above findings are robust to a good extent. It can provide decision support for remanufacturing enterprises.The effects of low-carbon awareness on remanufacturing strategy in the presence of competition
Yanyan Zheng, Peng Liu, Yingxue Zhao, Zhichao Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper examines how the level of low-carbon awareness (LCA) affects the remanufacturing strategy in a supply chain with an original equipment manufacturer (OEM) and an independent remanufacturer (IR) competing with each other.

Game theory and operations optimization.

The studies analytically characterize the threshold levels of the LCA in response to which the OEM and the IR will change their remanufacturing strategies from no remanufacturing to partial remanufacturing and then to full remanufacturing. In addition, the studies reveal that as compared with the OEM, the IR has more flexibility in terms of the market entry to remanufacturing with the level of LCA increasing. With the extended studies, it is exhibited that the above findings are robust to a good extent.

It can provide decision support for remanufacturing enterprises.

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The effects of low-carbon awareness on remanufacturing strategy in the presence of competition10.1108/K-04-2023-0658Kybernetes2023-12-04© 2023 Emerald Publishing LimitedYanyan ZhengPeng LiuYingxue ZhaoZhichao ZhangKybernetesahead-of-printahead-of-print2023-12-0410.1108/K-04-2023-0658https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0658/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How do the determinants of investment decisions get prioritized? Peeking into the minds of investorshttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0662/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestInvestment decisions hold immense significance for investors and eventually affect their portfolio performance. Investors are advised to weigh the costs and benefits associated with every decision in order to make rational investment decisions. However, behavioral finance research reveals that investors' choices often stem from a blend of economic, psychological and sociological factors, leading to irrationality. Moreover, environmental, social and corporate governance (ESG) factors, aligned with behavioral finance hypotheses, also sway opinions and stock prices. Hence, this study aims to identify how individual equity investors prioritize key determinants of investment decisions in the Indian stock market. The current research gathered data from 391 individual equity investors through a structured questionnaire. Thereafter, a fuzzy analytic hierarchy process (F-AHP) was used to meet the purpose of the research. Information availability, representative heuristics belonging to psychological factors and macroeconomic indicators falling under economic factors were discovered to be the three most prioritized criteria, whereas environmental issues within the realm of ESG factors, recommendations of brokers or investment consultants of sociological factors, and social issues belonging to ESG factors were found to be the least prioritized criteria, respectively. Only active and experienced individual equity investors were surveyed in this study. Furthermore, with a sample size of 391 participants, the study was confined to individual equity investors in one nation, India. This research has implications for individual investors, institutional investors, market regulators, corporations, financial advisors, portfolio managers, policymakers and society as a whole. To the best of the authors' knowledge, no real attempt has been made to comprehend how active and experienced individual investors prioritize critical determinants of investment decisions by taking economic, psychological, sociological and ESG factors collectively under consideration.How do the determinants of investment decisions get prioritized? Peeking into the minds of investors
Kirti Sood, Prachi Pathak, Sanjay Gupta
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Investment decisions hold immense significance for investors and eventually affect their portfolio performance. Investors are advised to weigh the costs and benefits associated with every decision in order to make rational investment decisions. However, behavioral finance research reveals that investors' choices often stem from a blend of economic, psychological and sociological factors, leading to irrationality. Moreover, environmental, social and corporate governance (ESG) factors, aligned with behavioral finance hypotheses, also sway opinions and stock prices. Hence, this study aims to identify how individual equity investors prioritize key determinants of investment decisions in the Indian stock market.

The current research gathered data from 391 individual equity investors through a structured questionnaire. Thereafter, a fuzzy analytic hierarchy process (F-AHP) was used to meet the purpose of the research.

Information availability, representative heuristics belonging to psychological factors and macroeconomic indicators falling under economic factors were discovered to be the three most prioritized criteria, whereas environmental issues within the realm of ESG factors, recommendations of brokers or investment consultants of sociological factors, and social issues belonging to ESG factors were found to be the least prioritized criteria, respectively.

Only active and experienced individual equity investors were surveyed in this study. Furthermore, with a sample size of 391 participants, the study was confined to individual equity investors in one nation, India.

This research has implications for individual investors, institutional investors, market regulators, corporations, financial advisors, portfolio managers, policymakers and society as a whole.

To the best of the authors' knowledge, no real attempt has been made to comprehend how active and experienced individual investors prioritize critical determinants of investment decisions by taking economic, psychological, sociological and ESG factors collectively under consideration.

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How do the determinants of investment decisions get prioritized? Peeking into the minds of investors10.1108/K-04-2023-0662Kybernetes2024-01-03© 2023 Emerald Publishing LimitedKirti SoodPrachi PathakSanjay GuptaKybernetesahead-of-printahead-of-print2024-01-0310.1108/K-04-2023-0662https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0662/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Internet of things and aviation: a bibliometric and visualization analysishttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0664/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestConsidering both the current opportunities of the Internet of things (IoT) and aviation, as well as the potential opportunities they may offer for the future, it is understood that they are among the important issues that need to be examined in the literature. This study aims to provide an idea by conducting bibliometric and visualization analyses of the current trends and development opportunities of IoT and aviation. In this study, descriptive and bibliometric analyses within the framework of co-author, co-citation, bibliographic coupling, and keyword co-occurrence analysis were carried out for publications found to be published between 2007 and 2023 in the Web of Science (WoS) database related to IoT and aviation. VOSviewer (ver. 1.6.18) program and the Biblioshiny application were used to create bibliometric networks and provide visualization. As a result of some descriptive and visualization analyses, the current trend of publications on IoT and aviation and future publication opportunities has been revealed. It has been understood that the subject of IoT and aviation is one of the subjects whose number of publications has increased in recent years and has not yet fully matured in terms of the number of publications and has the potential to make new publications. In this study, bibliometric analysis of IoT and aviation, which could not be found examined before in the literature, and the creation of existing bibliometric networks by visualizing were carried out.Internet of things and aviation: a bibliometric and visualization analysis
Mehmet Fatih Burak, Polathan Küsbeci
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Considering both the current opportunities of the Internet of things (IoT) and aviation, as well as the potential opportunities they may offer for the future, it is understood that they are among the important issues that need to be examined in the literature. This study aims to provide an idea by conducting bibliometric and visualization analyses of the current trends and development opportunities of IoT and aviation.

In this study, descriptive and bibliometric analyses within the framework of co-author, co-citation, bibliographic coupling, and keyword co-occurrence analysis were carried out for publications found to be published between 2007 and 2023 in the Web of Science (WoS) database related to IoT and aviation. VOSviewer (ver. 1.6.18) program and the Biblioshiny application were used to create bibliometric networks and provide visualization.

As a result of some descriptive and visualization analyses, the current trend of publications on IoT and aviation and future publication opportunities has been revealed. It has been understood that the subject of IoT and aviation is one of the subjects whose number of publications has increased in recent years and has not yet fully matured in terms of the number of publications and has the potential to make new publications.

In this study, bibliometric analysis of IoT and aviation, which could not be found examined before in the literature, and the creation of existing bibliometric networks by visualizing were carried out.

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Internet of things and aviation: a bibliometric and visualization analysis10.1108/K-04-2023-0664Kybernetes2023-07-13© 2023 Emerald Publishing LimitedMehmet Fatih BurakPolathan KüsbeciKybernetesahead-of-printahead-of-print2023-07-1310.1108/K-04-2023-0664https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0664/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The role of science fiction perception on innovator: integrating the theory of planned behavior and social support network theoryhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0675/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to explore the influence of science fiction on innovators and present a comprehensive model using the theory of planned behavior and social support theory to discuss the impact of science fiction on the intention of becoming an innovation worker. Partial least squares structural equation modeling (PLS-SEM) was adopted in this study and responses were obtained from 244 Chinese innovators. The results revealed the adequacy of the proposed model and the above-mentioned constructs in explaining innovation intention. Science fiction perception was found to influence the intention of becoming an innovation worker directly. Subjective norm, perceived behavioral control, and attitude directly influence the intention of becoming an innovation worker. Additionally, attitude is a mediator between science fiction perception and the intention of becoming an innovation worker. Moreover, social support network moderates the relationship between attitude and intention. These results shed light on the mechanism by which science fiction influence innovators as well as provide critical managerial implications for policymakers and practitioners.The role of science fiction perception on innovator: integrating the theory of planned behavior and social support network theory
Jiale Zhang, Zongyuan Liu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to explore the influence of science fiction on innovators and present a comprehensive model using the theory of planned behavior and social support theory to discuss the impact of science fiction on the intention of becoming an innovation worker.

Partial least squares structural equation modeling (PLS-SEM) was adopted in this study and responses were obtained from 244 Chinese innovators.

The results revealed the adequacy of the proposed model and the above-mentioned constructs in explaining innovation intention. Science fiction perception was found to influence the intention of becoming an innovation worker directly. Subjective norm, perceived behavioral control, and attitude directly influence the intention of becoming an innovation worker. Additionally, attitude is a mediator between science fiction perception and the intention of becoming an innovation worker. Moreover, social support network moderates the relationship between attitude and intention.

These results shed light on the mechanism by which science fiction influence innovators as well as provide critical managerial implications for policymakers and practitioners.

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The role of science fiction perception on innovator: integrating the theory of planned behavior and social support network theory10.1108/K-04-2023-0675Kybernetes2023-08-08© 2023 Emerald Publishing LimitedJiale ZhangZongyuan LiuKybernetesahead-of-printahead-of-print2023-08-0810.1108/K-04-2023-0675https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0675/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Can firm R&D benefit from digital technologies? Evidence from Chinese high-speed rail industryhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0677/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAs an emerging socio-technical paradigm, high-speed railways profoundly change individuals' lifestyle and allow for the shift toward a green transportation. Digital technologies open an opportunity window for the development of enterprises. This study aims to clarify the impact of firm digitalization on the innovation efficiency of the Chinese high-speed rail industry. In addition, human capital is the important non-physical capital of enterprises. The authors also elucidate the moderating role of human capital on the above relationship. Based on the data of Chinese high-speed railway listed companies from 2015 to 2021, this study explores the impact of digital transformation on the innovation efficiency, and further clarifies the boundary role of human capital with two-way fixed effect regression models. The empirical results indicate that digital transformation has a positive impact on the innovation efficiency of the Chinese high-speed railway enterprises. Furthermore, human capital significantly enhances the above relationship. In addition, digital transformation fosters the innovation efficiency of small- and medium-sized enterprises and private-owned enterprises, but the correlation coefficients between digital transformation and the innovation efficiency of large enterprises and state-owned enterprises are not significant. This is one of the earliest studies to explore how digital technologies shape R&D activities. From the perspective of relative efficiency, this study evaluates the effectiveness of digital transformation and provides empirical evidence for the formulation and implementation of corporate digital strategies. Moreover, this study links human capital with digital transformation and identifies condition factors that affect the effectiveness of digital transformation, thereby supplementing existing knowledge.Can firm R&D benefit from digital technologies? Evidence from Chinese high-speed rail industry
Zihao Jiang, Jiarong Shi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

As an emerging socio-technical paradigm, high-speed railways profoundly change individuals' lifestyle and allow for the shift toward a green transportation. Digital technologies open an opportunity window for the development of enterprises. This study aims to clarify the impact of firm digitalization on the innovation efficiency of the Chinese high-speed rail industry. In addition, human capital is the important non-physical capital of enterprises. The authors also elucidate the moderating role of human capital on the above relationship.

Based on the data of Chinese high-speed railway listed companies from 2015 to 2021, this study explores the impact of digital transformation on the innovation efficiency, and further clarifies the boundary role of human capital with two-way fixed effect regression models.

The empirical results indicate that digital transformation has a positive impact on the innovation efficiency of the Chinese high-speed railway enterprises. Furthermore, human capital significantly enhances the above relationship. In addition, digital transformation fosters the innovation efficiency of small- and medium-sized enterprises and private-owned enterprises, but the correlation coefficients between digital transformation and the innovation efficiency of large enterprises and state-owned enterprises are not significant.

This is one of the earliest studies to explore how digital technologies shape R&D activities. From the perspective of relative efficiency, this study evaluates the effectiveness of digital transformation and provides empirical evidence for the formulation and implementation of corporate digital strategies. Moreover, this study links human capital with digital transformation and identifies condition factors that affect the effectiveness of digital transformation, thereby supplementing existing knowledge.

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Can firm R&D benefit from digital technologies? Evidence from Chinese high-speed rail industry10.1108/K-04-2023-0677Kybernetes2023-07-19© 2023 Emerald Publishing LimitedZihao JiangJiarong ShiKybernetesahead-of-printahead-of-print2023-07-1910.1108/K-04-2023-0677https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0677/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring the promotion of blockchain adoption in the healthcare industry through government subsidieshttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0683/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestBlockchain technology has been recognized as a potential solution to the challenges in managing healthcare information. Its adoption in the healthcare industry has garnered the attention of healthcare institutions and governments. Given the significant role of subsidies in promoting technology adoption, this study applies evolutionary game theory to examine the impact of government subsidies on the adoption of blockchain technology by healthcare institutions. First, the authors analyze the interests of government administration departments and healthcare institutions separately in regards to blockchain adoption. Subsequently, the authors develop the payoff matrix of both participants and construct the evolutionary game model. And then, the authors calculate the replication dynamic equations and analyze the decision evolution of both participants through the replication dynamic equations and numerical experiments. The numerical experiments demonstrate that government subsidies are effective in encouraging healthcare institutions to adopt blockchain technology. The study also reveals the necessary amount of subsidy required to guide healthcare institutions towards adoption. Additionally, the validity of the evolutionary game model in analyzing the interaction between governments and healthcare institutions is confirmed by the results. Blockchain adoption in the healthcare industry differs from other emerging technologies, as there is the potential for it to reduce revenue for healthcare institutions. This study contributes to the analysis of theoretical models for promoting blockchain in the healthcare industry through subsidies. Additionally, it demonstrates the potential of evolutionary game theory in analyzing the adoption of blockchain technology, and the interaction between governments and healthcare institutions.Exploring the promotion of blockchain adoption in the healthcare industry through government subsidies
Keqing Li, Changyong Liang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Blockchain technology has been recognized as a potential solution to the challenges in managing healthcare information. Its adoption in the healthcare industry has garnered the attention of healthcare institutions and governments. Given the significant role of subsidies in promoting technology adoption, this study applies evolutionary game theory to examine the impact of government subsidies on the adoption of blockchain technology by healthcare institutions.

First, the authors analyze the interests of government administration departments and healthcare institutions separately in regards to blockchain adoption. Subsequently, the authors develop the payoff matrix of both participants and construct the evolutionary game model. And then, the authors calculate the replication dynamic equations and analyze the decision evolution of both participants through the replication dynamic equations and numerical experiments.

The numerical experiments demonstrate that government subsidies are effective in encouraging healthcare institutions to adopt blockchain technology. The study also reveals the necessary amount of subsidy required to guide healthcare institutions towards adoption. Additionally, the validity of the evolutionary game model in analyzing the interaction between governments and healthcare institutions is confirmed by the results.

Blockchain adoption in the healthcare industry differs from other emerging technologies, as there is the potential for it to reduce revenue for healthcare institutions. This study contributes to the analysis of theoretical models for promoting blockchain in the healthcare industry through subsidies. Additionally, it demonstrates the potential of evolutionary game theory in analyzing the adoption of blockchain technology, and the interaction between governments and healthcare institutions.

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Exploring the promotion of blockchain adoption in the healthcare industry through government subsidies10.1108/K-04-2023-0683Kybernetes2023-09-08© 2023 Emerald Publishing LimitedKeqing LiChangyong LiangKybernetesahead-of-printahead-of-print2023-09-0810.1108/K-04-2023-0683https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0683/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Data-driven optimization for production planning with multiple demand featureshttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0690/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe production planning problem with fine-grained information has hardly been considered in practice. The purpose of this study is to investigate the data-driven production planning problem when a manufacturer can observe historical demand data with high-dimensional mixed-frequency features, which provides fine-grained information. In this study, a two-step data-driven optimization model is proposed to examine production planning with the exploitation of mixed-frequency demand data is proposed. First, an Unrestricted MIxed DAta Sampling approach is proposed, which imposes Group LASSO Penalty (GP-U-MIDAS). The use of high frequency of massive demand information is analytically justified to significantly improve the predictive ability without sacrificing goodness-of-fit. Then, integrated with the GP-U-MIDAS approach, the authors develop a multiperiod production planning model with a rolling cycle. The performance is evaluated by forecasting outcomes, production planning decisions, service levels and total cost. Numerical results show that the key variables influencing market demand can be completely recognized through the GP-U-MIDAS approach; in particular, the selected accuracy of crucial features exceeds 92%. Furthermore, the proposed approach performs well regarding both in-sample fitting and out-of-sample forecasting throughout most of the horizons. Taking the total cost and service level obtained under the actual demand as the benchmark, the mean values of both the service level and total cost differences are reduced. The mean deviations of the service level and total cost are reduced to less than 2.4%. This indicates that when faced with fluctuating demand, the manufacturer can adopt the proposed model to effectively manage total costs and experience an enhanced service level. Compared with previous studies, the authors develop a two-step data-driven optimization model by directly incorporating a potentially large number of features; the model can help manufacturers effectively identify the key features of market demand, improve the accuracy of demand estimations and make informed production decisions. Moreover, demand forecasting and optimal production decisions behave robustly with shifting demand and different cost structures, which can provide manufacturers an excellent method for solving production planning problems under demand uncertainty.Data-driven optimization for production planning with multiple demand features
Xiaoli Su, Lijun Zeng, Bo Shao, Binlong Lin
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The production planning problem with fine-grained information has hardly been considered in practice. The purpose of this study is to investigate the data-driven production planning problem when a manufacturer can observe historical demand data with high-dimensional mixed-frequency features, which provides fine-grained information.

In this study, a two-step data-driven optimization model is proposed to examine production planning with the exploitation of mixed-frequency demand data is proposed. First, an Unrestricted MIxed DAta Sampling approach is proposed, which imposes Group LASSO Penalty (GP-U-MIDAS). The use of high frequency of massive demand information is analytically justified to significantly improve the predictive ability without sacrificing goodness-of-fit. Then, integrated with the GP-U-MIDAS approach, the authors develop a multiperiod production planning model with a rolling cycle. The performance is evaluated by forecasting outcomes, production planning decisions, service levels and total cost.

Numerical results show that the key variables influencing market demand can be completely recognized through the GP-U-MIDAS approach; in particular, the selected accuracy of crucial features exceeds 92%. Furthermore, the proposed approach performs well regarding both in-sample fitting and out-of-sample forecasting throughout most of the horizons. Taking the total cost and service level obtained under the actual demand as the benchmark, the mean values of both the service level and total cost differences are reduced. The mean deviations of the service level and total cost are reduced to less than 2.4%. This indicates that when faced with fluctuating demand, the manufacturer can adopt the proposed model to effectively manage total costs and experience an enhanced service level.

Compared with previous studies, the authors develop a two-step data-driven optimization model by directly incorporating a potentially large number of features; the model can help manufacturers effectively identify the key features of market demand, improve the accuracy of demand estimations and make informed production decisions. Moreover, demand forecasting and optimal production decisions behave robustly with shifting demand and different cost structures, which can provide manufacturers an excellent method for solving production planning problems under demand uncertainty.

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Data-driven optimization for production planning with multiple demand features10.1108/K-04-2023-0690Kybernetes2023-10-12© 2023 Emerald Publishing LimitedXiaoli SuLijun ZengBo ShaoBinlong LinKybernetesahead-of-printahead-of-print2023-10-1210.1108/K-04-2023-0690https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0690/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Project portfolio selection and scheduling incorporating dynamic synergyhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0694/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSelecting and scheduling optimal project portfolio simultaneously is a complex decision-making problem faced by organizations to realize the strategy. However, dynamic synergy relationships among projects complicate this problem. This study aims at constructing a project portfolio selection and scheduling (PPSS) model while quantifying the dynamic synergetic effects to provide decision support for managing PPSS problems. This study develops a mathematical model for PPSS with the objective of maximal project portfolio benefits (PPBs). To make the results align with the strategy, comprehensive PPBs are divided into financial and non-financial aspects based on the balanced scorecard. Then, synergy benefits evolve dynamically in the time horizon, and system dynamics is employed to quantify them. Lastly, a case example is conducted to verify the applicability of the proposed model. The proposed model is an applicable model for PPSS while incorporating dynamic synergy. It can help project managers obtain the results that which project should be selected and when it should start while achieving optimal PPBs. This study complements prior PPSS research in two aspects. First, financial and non-financial PPBs are designed as new criteria for PPSS, making the results follow the strategy. Second, this study illuminates the dynamic characteristic of synergy and quantifies the synergetic effect. The proposed model provides insights into managing a PPSS effectively.Project portfolio selection and scheduling incorporating dynamic synergy
Libiao Bai, Mengqin Yang, Tong Pan, Yichen Sun
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Selecting and scheduling optimal project portfolio simultaneously is a complex decision-making problem faced by organizations to realize the strategy. However, dynamic synergy relationships among projects complicate this problem. This study aims at constructing a project portfolio selection and scheduling (PPSS) model while quantifying the dynamic synergetic effects to provide decision support for managing PPSS problems.

This study develops a mathematical model for PPSS with the objective of maximal project portfolio benefits (PPBs). To make the results align with the strategy, comprehensive PPBs are divided into financial and non-financial aspects based on the balanced scorecard. Then, synergy benefits evolve dynamically in the time horizon, and system dynamics is employed to quantify them. Lastly, a case example is conducted to verify the applicability of the proposed model.

The proposed model is an applicable model for PPSS while incorporating dynamic synergy. It can help project managers obtain the results that which project should be selected and when it should start while achieving optimal PPBs.

This study complements prior PPSS research in two aspects. First, financial and non-financial PPBs are designed as new criteria for PPSS, making the results follow the strategy. Second, this study illuminates the dynamic characteristic of synergy and quantifies the synergetic effect. The proposed model provides insights into managing a PPSS effectively.

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Project portfolio selection and scheduling incorporating dynamic synergy10.1108/K-04-2023-0694Kybernetes2023-11-14© 2023 Emerald Publishing LimitedLibiao BaiMengqin YangTong PanYichen SunKybernetesahead-of-printahead-of-print2023-11-1410.1108/K-04-2023-0694https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0694/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Analysis of incentive mechanism and contractor behaviours under informatisation construction in megaprojectshttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0696/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAs the complexity and uncertainty of megaprojects make it difficult for traditional management models to address the difficulties, this paper aims to design a performance incentive contract through IT applications, thereby promoting the formation of an information-based governance mechanism for megaprojects and facilitating the transformation and upgrading of the construction management model of megaprojects to informatisation. This paper introduced IT applications into the performance assessment and used the proportion of IT applications replacing traditional manual management as a variable. It analysed different replacement ratios to obtain the optimal solution for the change of contractors behaviours and promote the optimal performance incentive for the informatisation in megaprojects. The results show that under the condition of the optimal replacement ratio, achieving the optimal state of a mutual win-win situation is possible for the benefit of both sides. The counter-intuitive finding is that the greater the replacement ratio is not, the better, but those other constraints are also taken into account. This study enriched the research of the performance configuration incentive from a practical perspective. It extended the research framework of IT incentive mechanisms in the governance of megaprojects from a management theory perspective. It clarified the role of IT applications in incentive mechanisms and the design process of optimal incentive contracts under different performance incentive states. The incentives made the contractors work harder to meet the owner's requirements, and it could improve the efficiency of megaprojects, thus better achieving megaproject objectives.Analysis of incentive mechanism and contractor behaviours under informatisation construction in megaprojects
Yuying Wang, Guohua Zhou
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

As the complexity and uncertainty of megaprojects make it difficult for traditional management models to address the difficulties, this paper aims to design a performance incentive contract through IT applications, thereby promoting the formation of an information-based governance mechanism for megaprojects and facilitating the transformation and upgrading of the construction management model of megaprojects to informatisation.

This paper introduced IT applications into the performance assessment and used the proportion of IT applications replacing traditional manual management as a variable. It analysed different replacement ratios to obtain the optimal solution for the change of contractors behaviours and promote the optimal performance incentive for the informatisation in megaprojects.

The results show that under the condition of the optimal replacement ratio, achieving the optimal state of a mutual win-win situation is possible for the benefit of both sides. The counter-intuitive finding is that the greater the replacement ratio is not, the better, but those other constraints are also taken into account.

This study enriched the research of the performance configuration incentive from a practical perspective. It extended the research framework of IT incentive mechanisms in the governance of megaprojects from a management theory perspective. It clarified the role of IT applications in incentive mechanisms and the design process of optimal incentive contracts under different performance incentive states. The incentives made the contractors work harder to meet the owner's requirements, and it could improve the efficiency of megaprojects, thus better achieving megaproject objectives.

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Analysis of incentive mechanism and contractor behaviours under informatisation construction in megaprojects10.1108/K-04-2023-0696Kybernetes2023-08-10© 2023 Emerald Publishing LimitedYuying WangGuohua ZhouKybernetesahead-of-printahead-of-print2023-08-1010.1108/K-04-2023-0696https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0696/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Ethical triage in public health emergency facilities: distributive justice – a decision modelhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0703/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestA new triage method, MBCE (Medical Bio Social Ethics), is presented with social justice, bio, and medical ethics for critical resource distribution during a pandemic. Ethical triage is a complex and challenging process that requires careful consideration of medical, social, cultural, and ethical factors to guide the decision-making process and ensure fair and transparent allocation of resources. When assigning priorities to patients, a clinician would evaluate each patient’s medical condition, age, comorbidities, and prognosis, as well as their cultural and social background and ethical factors. A statistical analysis shows no interactions among the ethical triage factors. It implies the ethical components have no moderation effect; hence, each is independent. The result also points out that medical and bioethics may have an affinity for interactions. In such cases, there seem to be some ethical factors related to bio and medical ethics that are correlated. Therefore, the triage team should be careful in evaluating patient cases. The algorithm is explained with case histories of the selected patient. A group of triage nurses and general medical practitioners assists with the triage. The MBCE triage algorithm aims to allocate scarce resources fairly and equitably. Another ethical principle in this triage algorithm is the principle of utility. In a pandemic, the principle of utility may require prioritizing patients with a higher likelihood of survival or requiring less medical care. The research presents a sensitivity analysis of a patient’s triage score to show the algorithm’s robustness. A weighted score of ethical factors combined with an assessment of triage factors combines multiple objectives to assign a fair triage score. These distinctive features of the algorithm are reasonably easy to implement and a new direction for the unbiased triage principle. The idea is to make decisions about distributing and using scarce medical resources. Triage algorithms raise ethical issues, such as discrimination and justice, guiding medical ethics in treating patients with terminal diseases or comorbidity. One of the main ethical principles in triage algorithms is the principle of distributive justice.Ethical triage in public health emergency facilities: distributive justice – a decision model
Shamsuddin Ahmed, Rayan Hamza Alsisi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

A new triage method, MBCE (Medical Bio Social Ethics), is presented with social justice, bio, and medical ethics for critical resource distribution during a pandemic. Ethical triage is a complex and challenging process that requires careful consideration of medical, social, cultural, and ethical factors to guide the decision-making process and ensure fair and transparent allocation of resources. When assigning priorities to patients, a clinician would evaluate each patient’s medical condition, age, comorbidities, and prognosis, as well as their cultural and social background and ethical factors.

A statistical analysis shows no interactions among the ethical triage factors. It implies the ethical components have no moderation effect; hence, each is independent. The result also points out that medical and bioethics may have an affinity for interactions. In such cases, there seem to be some ethical factors related to bio and medical ethics that are correlated. Therefore, the triage team should be careful in evaluating patient cases. The algorithm is explained with case histories of the selected patient. A group of triage nurses and general medical practitioners assists with the triage.

The MBCE triage algorithm aims to allocate scarce resources fairly and equitably. Another ethical principle in this triage algorithm is the principle of utility. In a pandemic, the principle of utility may require prioritizing patients with a higher likelihood of survival or requiring less medical care. The research presents a sensitivity analysis of a patient’s triage score to show the algorithm’s robustness. A weighted score of ethical factors combined with an assessment of triage factors combines multiple objectives to assign a fair triage score. These distinctive features of the algorithm are reasonably easy to implement and a new direction for the unbiased triage principle.

The idea is to make decisions about distributing and using scarce medical resources. Triage algorithms raise ethical issues, such as discrimination and justice, guiding medical ethics in treating patients with terminal diseases or comorbidity. One of the main ethical principles in triage algorithms is the principle of distributive justice.

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Ethical triage in public health emergency facilities: distributive justice – a decision model10.1108/K-04-2023-0703Kybernetes2024-03-05© 2024 Emerald Publishing LimitedShamsuddin AhmedRayan Hamza AlsisiKybernetesahead-of-printahead-of-print2024-03-0510.1108/K-04-2023-0703https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0703/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The dark side of travel: the effect of tourist harassment on destination image and destination revisit intent: a moderated mediation approachhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0706/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe authors’ examination aims to offer a quantitative perspective on the interrelationships between tourist harassment, the destination image, emotions and destination revisit intent. Furthermore, it explores the moderating role of travelers' experiences and tolerance in the link between tourist harassment, the destination image and revisit intentions. The authors’ examination seeks to fill this research gap by utilizing a combination of qualitative and quantitative methods to test eight hypotheses using AMOS 23 and PROCESS MARCO. The findings showed that tourist harassment negatively impacts the destination image and revisit intentions. Moreover, it indicated that tourists' experiences and tolerance moderate the link between harassment, the destination image and revisit intentions for travelers with high levels of experience and tolerance compared to those with low levels. This article contributes to travel research and service failure recovery research on tourist harassment and its consequences. To this end, it developed and validated a new tourist harassment scale. Moreover, it is the first study that examines the moderating role of visitors' experiences and tolerance on the link between tourist harassment, the destination image and revisit intentions. Finally, this article is the first to empirically offer destination harassment reduction techniques.The dark side of travel: the effect of tourist harassment on destination image and destination revisit intent: a moderated mediation approach
Ahmed Hamdy, Jian Zhang, Riyad Eid
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The authors’ examination aims to offer a quantitative perspective on the interrelationships between tourist harassment, the destination image, emotions and destination revisit intent. Furthermore, it explores the moderating role of travelers' experiences and tolerance in the link between tourist harassment, the destination image and revisit intentions.

The authors’ examination seeks to fill this research gap by utilizing a combination of qualitative and quantitative methods to test eight hypotheses using AMOS 23 and PROCESS MARCO.

The findings showed that tourist harassment negatively impacts the destination image and revisit intentions. Moreover, it indicated that tourists' experiences and tolerance moderate the link between harassment, the destination image and revisit intentions for travelers with high levels of experience and tolerance compared to those with low levels.

This article contributes to travel research and service failure recovery research on tourist harassment and its consequences. To this end, it developed and validated a new tourist harassment scale. Moreover, it is the first study that examines the moderating role of visitors' experiences and tolerance on the link between tourist harassment, the destination image and revisit intentions. Finally, this article is the first to empirically offer destination harassment reduction techniques.

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The dark side of travel: the effect of tourist harassment on destination image and destination revisit intent: a moderated mediation approach10.1108/K-04-2023-0706Kybernetes2023-09-15© 2023 Emerald Publishing LimitedAhmed HamdyJian ZhangRiyad EidKybernetesahead-of-printahead-of-print2023-09-1510.1108/K-04-2023-0706https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0706/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Cooperative governance mechanisms for personal information security: an evolutionary game approachhttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0717/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to investigate the cooperative governance mechanisms for personal information security, which can help enrich digital governance research and provide a reference for the formulation of protection policies for personal information security. This paper constructs an evolutionary game model consisting of regulators, digital enterprises and consumers, which is combined with the simulation method to examine the influence of different factors on personal information protection and governance. The results reveal seven stable equilibrium strategies for personal information security within the cooperative governance game system. The non-compliant processing of personal information by digital enterprises can damage the rights and interests of consumers. However, the combination of regulatory measures implemented by supervisory authorities and the rights protection measures enacted by consumers can effectively promote the self-regulation of digital enterprises. The reputation mechanism exerts a restricting effect on the opportunistic behaviour of the participants. The authors focus on the regulation of digital enterprises and do not consider the involvement of malicious actors such as hackers, and the authors will continue to focus on the game when assessing the governance of malicious actors in subsequent research. This study's results enhance digital governance research and offer a reference for developing policies that protect personal information security. This paper builds an analytical framework for cooperative governance for personal information security, which helps to understand the decision-making behaviour and motivation of different subjects and to better address issues in the governance for personal information security.Cooperative governance mechanisms for personal information security: an evolutionary game approach
Yong Sun, Ya-Feng Zhang, Yalin Wang, Sihui Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to investigate the cooperative governance mechanisms for personal information security, which can help enrich digital governance research and provide a reference for the formulation of protection policies for personal information security.

This paper constructs an evolutionary game model consisting of regulators, digital enterprises and consumers, which is combined with the simulation method to examine the influence of different factors on personal information protection and governance.

The results reveal seven stable equilibrium strategies for personal information security within the cooperative governance game system. The non-compliant processing of personal information by digital enterprises can damage the rights and interests of consumers. However, the combination of regulatory measures implemented by supervisory authorities and the rights protection measures enacted by consumers can effectively promote the self-regulation of digital enterprises. The reputation mechanism exerts a restricting effect on the opportunistic behaviour of the participants.

The authors focus on the regulation of digital enterprises and do not consider the involvement of malicious actors such as hackers, and the authors will continue to focus on the game when assessing the governance of malicious actors in subsequent research.

This study's results enhance digital governance research and offer a reference for developing policies that protect personal information security.

This paper builds an analytical framework for cooperative governance for personal information security, which helps to understand the decision-making behaviour and motivation of different subjects and to better address issues in the governance for personal information security.

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Cooperative governance mechanisms for personal information security: an evolutionary game approach10.1108/K-04-2023-0717Kybernetes2023-10-09© 2023 Emerald Publishing LimitedYong SunYa-Feng ZhangYalin WangSihui ZhangKybernetesahead-of-printahead-of-print2023-10-0910.1108/K-04-2023-0717https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0717/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A study on inventory control strategies of fresh food supply chain considering advertising delay effecthttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0719/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe existence of the advertising delay effect and its impact on supply chain operations have been demonstrated in the current study. Therefore, this study develops a timely inventory control strategy for the fresh produce supply chain to address the advertising delay effect in the fresh produce supply chain. This study proposes a game model based on the Nerlove-Arrow time delay differential equation and Pontryagin's maximum principle. Through comparative analyses of the optimal equilibrium strategies, the authors compare the optimal equilibrium strategies, product goodwill and optimal inventory trajectories for suppliers and retailers under secondary replenishment decisions and decentralized decisions. The authors find that (1) Only when the sales cycle meets certain conditions can the overall profit of the supply chain under the secondary replenishment decision be greater than that under the decentralized decision. As the price markup coefficient increases, the total profit of the supply chain first increases and then decreases. (2) With the increase in the delay time, the replenishment quantity during the initial period gradually decreases. After the delay time elapses, the inventory depletion rate under secondary replenishment decisions is faster than that under decentralized decision-making. (3) Although there is a continuously increasing maximum value of product goodwill with the increase in delay time, it becomes difficult to achieve this value for longer delays. The authors’ findings provide a theoretical basis for supply chain members of fresh agricultural products to select replenishment and inventory control strategies when adopting different levels of delay in advertising marketing. Firstly, this paper explains the impact of advertising delay effect on fresh produce supply chain from a dynamic perspective, and secondly, it provides guidance on advertising formulation and inventory replenishment for fresh produce retailers under the influence of advertising delay effect.A study on inventory control strategies of fresh food supply chain considering advertising delay effect
Yongchang Jiang, Hejie Zhu, E. Bai
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The existence of the advertising delay effect and its impact on supply chain operations have been demonstrated in the current study. Therefore, this study develops a timely inventory control strategy for the fresh produce supply chain to address the advertising delay effect in the fresh produce supply chain.

This study proposes a game model based on the Nerlove-Arrow time delay differential equation and Pontryagin's maximum principle. Through comparative analyses of the optimal equilibrium strategies, the authors compare the optimal equilibrium strategies, product goodwill and optimal inventory trajectories for suppliers and retailers under secondary replenishment decisions and decentralized decisions.

The authors find that (1) Only when the sales cycle meets certain conditions can the overall profit of the supply chain under the secondary replenishment decision be greater than that under the decentralized decision. As the price markup coefficient increases, the total profit of the supply chain first increases and then decreases. (2) With the increase in the delay time, the replenishment quantity during the initial period gradually decreases. After the delay time elapses, the inventory depletion rate under secondary replenishment decisions is faster than that under decentralized decision-making. (3) Although there is a continuously increasing maximum value of product goodwill with the increase in delay time, it becomes difficult to achieve this value for longer delays.

The authors’ findings provide a theoretical basis for supply chain members of fresh agricultural products to select replenishment and inventory control strategies when adopting different levels of delay in advertising marketing.

Firstly, this paper explains the impact of advertising delay effect on fresh produce supply chain from a dynamic perspective, and secondly, it provides guidance on advertising formulation and inventory replenishment for fresh produce retailers under the influence of advertising delay effect.

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A study on inventory control strategies of fresh food supply chain considering advertising delay effect10.1108/K-04-2023-0719Kybernetes2023-09-14© 2023 Emerald Publishing LimitedYongchang JiangHejie ZhuE. BaiKybernetesahead-of-printahead-of-print2023-09-1410.1108/K-04-2023-0719https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0719/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Understanding public opinions on Chinese short video platform by multimodal sentiment analysis using deep learning-based techniqueshttps://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0723/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the rapid development of short videos in China, the public has become accustomed to using short videos to express their opinions. This paper aims to solve problems such as how to represent the features of different modalities and achieve effective cross-modal feature fusion when analyzing the multi-modal sentiment of Chinese short videos (CSVs). This paper aims to propose a sentiment analysis model MSCNN-CPL-CAFF using multi-scale convolutional neural network and cross attention fusion mechanism to analyze the CSVs. The audio-visual and textual data of CSVs themed on “COVID-19, catering industry” are collected from CSV platform Douyin first, and then a comparative analysis is conducted with advanced baseline models. The sample number of the weak negative and neutral sentiment is the largest, and the sample number of the positive and weak positive sentiment is relatively small, accounting for only about 11% of the total samples. The MSCNN-CPL-CAFF model has achieved the Acc-2, Acc-3 and F1 score of 85.01%, 74.16 and 84.84%, respectively, which outperforms the highest value of baseline methods in accuracy and achieves competitive computation speed. This research offers some implications regarding the impact of COVID-19 on catering industry in China by focusing on multi-modal sentiment of CSVs. The methodology can be utilized to analyze the opinions of the general public on social media platform and to categorize them accordingly. This paper presents a novel deep-learning multimodal sentiment analysis model, which provides a new perspective for public opinion research on the short video platform.Understanding public opinions on Chinese short video platform by multimodal sentiment analysis using deep learning-based techniques
Wei Shi, Jing Zhang, Shaoyi He
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the rapid development of short videos in China, the public has become accustomed to using short videos to express their opinions. This paper aims to solve problems such as how to represent the features of different modalities and achieve effective cross-modal feature fusion when analyzing the multi-modal sentiment of Chinese short videos (CSVs).

This paper aims to propose a sentiment analysis model MSCNN-CPL-CAFF using multi-scale convolutional neural network and cross attention fusion mechanism to analyze the CSVs. The audio-visual and textual data of CSVs themed on “COVID-19, catering industry” are collected from CSV platform Douyin first, and then a comparative analysis is conducted with advanced baseline models.

The sample number of the weak negative and neutral sentiment is the largest, and the sample number of the positive and weak positive sentiment is relatively small, accounting for only about 11% of the total samples. The MSCNN-CPL-CAFF model has achieved the Acc-2, Acc-3 and F1 score of 85.01%, 74.16 and 84.84%, respectively, which outperforms the highest value of baseline methods in accuracy and achieves competitive computation speed.

This research offers some implications regarding the impact of COVID-19 on catering industry in China by focusing on multi-modal sentiment of CSVs. The methodology can be utilized to analyze the opinions of the general public on social media platform and to categorize them accordingly.

This paper presents a novel deep-learning multimodal sentiment analysis model, which provides a new perspective for public opinion research on the short video platform.

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Understanding public opinions on Chinese short video platform by multimodal sentiment analysis using deep learning-based techniques10.1108/K-04-2023-0723Kybernetes2023-09-12© 2023 Emerald Publishing LimitedWei ShiJing ZhangShaoyi HeKybernetesahead-of-printahead-of-print2023-09-1210.1108/K-04-2023-0723https://www.emerald.com/insight/content/doi/10.1108/K-04-2023-0723/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Linkage between hiring and retention of diverse workforce, affective commitment and counterproductive work behaviorhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2022-0742/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe social exchange theory (SET) and the principle of reciprocity advocate the give and take relationship between counterparts. Perceived justice and fairness engage employees in pro-organizational behavior, while perceived injustice or biases invoke anti-organizational behavior. On similar grounds, the current research aims to find the relationship between employee perception regarding “hiring and retention of diverse employees (HRDE),” “affective commitment,” and “counterproductive work behavior (CWB).” Furthermore, assessing differences in the perception of age diversity concerning studied variables. The data for the current study were collected from various private organizations in India with a sample size (n = 457). The data were further analyzed using factor analysis, regression analysis and analysis of variance. Unlike previous research, the findings suggested a positive effect of the variable “hiring and retention of the diverse workforce” on both “affective commitment” and “CWB.” Interestingly, “affective commitment” also indicated a positive relationship with CWB. Further, various age groups showed differences in the perception of “affective commitment” and not “HRDE” and “CWB”. The findings of the study not only focus on the brighter side of becoming a more diverse workplace (i.e. higher affective commitment) but also highlights the side effects (i.e. CWB) aiding management to be mindful for effective, sustainable management and creation of psychological safe work environment for all.Linkage between hiring and retention of diverse workforce, affective commitment and counterproductive work behavior
Ritika Dongrey, Varsha Rokade
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The social exchange theory (SET) and the principle of reciprocity advocate the give and take relationship between counterparts. Perceived justice and fairness engage employees in pro-organizational behavior, while perceived injustice or biases invoke anti-organizational behavior. On similar grounds, the current research aims to find the relationship between employee perception regarding “hiring and retention of diverse employees (HRDE),” “affective commitment,” and “counterproductive work behavior (CWB).” Furthermore, assessing differences in the perception of age diversity concerning studied variables.

The data for the current study were collected from various private organizations in India with a sample size (n = 457). The data were further analyzed using factor analysis, regression analysis and analysis of variance.

Unlike previous research, the findings suggested a positive effect of the variable “hiring and retention of the diverse workforce” on both “affective commitment” and “CWB.” Interestingly, “affective commitment” also indicated a positive relationship with CWB. Further, various age groups showed differences in the perception of “affective commitment” and not “HRDE” and “CWB”.

The findings of the study not only focus on the brighter side of becoming a more diverse workplace (i.e. higher affective commitment) but also highlights the side effects (i.e. CWB) aiding management to be mindful for effective, sustainable management and creation of psychological safe work environment for all.

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Linkage between hiring and retention of diverse workforce, affective commitment and counterproductive work behavior10.1108/K-05-2022-0742Kybernetes2023-04-10© 2023 Emerald Publishing LimitedRitika DongreyVarsha RokadeKybernetesahead-of-printahead-of-print2023-04-1010.1108/K-05-2022-0742https://www.emerald.com/insight/content/doi/10.1108/K-05-2022-0742/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Bi-objective model for multi-level supply chain by focusing on quality of agricultural products: a case studyhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2022-0745/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDue to the importance of quality to customers, this study considers criteria of quality and profit and optimizes both in a multi-echelon cold chain of perishable agricultural products whose quality immediately begins to deteriorate after harvest. The two objectives of the proposed cold chain are to maximize profit and quality. Since postharvest quality loss in the supply chain depends on various decisions and factors, in addition to strategic decisions, the authors consider the temperature setting in refrigerated facilities and transportation vehicles due to the unfixed shelf life of the products which is related to the temperature found by Arrhenius formula. The authors use bi-objective mixed-integer nonlinear programming to design a four-echelon supply chain. The authors integrate the supply chain echelons to detect the sources and factors of quality loss. The four echelons include supply, processing, storage and customer. The decisions, including facility location, assigning nodes of each echelon to corresponding nodes from the adjacent echelon, allocation of vehicles to transport the products from farms to wholesalers, processing selection, and temperature setting in refrigerated facilities, are made in an integrated way. Model verification and validation in the case study are done based on three perishable herbal plants. The model obtains a 29% profit against a total cost of 71 and 93% of original quality of the crops is maintained, indicating a 7% quality loss. The final quality of 93% is the result of making a US$6m investment in the supply chain, including the procurement of high-quality raw materials; facility establishment; high-speed, high-capacity vehicles; location assignment; processing selection and refrigeration equipment in the storage and transportation systems, helping to maximize both the final quality of the products and the total profit. The proposed supply chain model should help managers with modeling decisions, especially when it comes to cold chains for agricultural products. The model yields these results – optimal location-allocation decisions for the facilities to minimize distances between the network nodes, which save time and maintain the majority of the products’ original quality; choosing the most appropriate processing method, which reduces the perishability rate; providing high-capacity, high-speed vehicles in the logistics system, which minimizes transportation costs and maximizes the quality; and setting the right temperature in the refrigerated facilities, which mitigates the postharvest decay reaction rate of the products. Comparison of the results of the present research with those of the traditional chain (obtained through experts) shows that since the designed chain increases the profit as well as the final quality, it has benefits for the main chain stakeholders, which are customers of agricultural products. This study model is expected to have a positive impact on the environment by placing strong emphasis on quality and preventing excessive waste generation and air pollution by imposing a financial penalty on extra demand production. Since profit and quality of the final product are two important factors in all cultures and communities, the proposed supply chain model can be used in any food industry around the world. Applying the proposed model induces growth in local industries and promotes the culture of prioritizing quality in societies. To the best of the authors’ knowledge, this is the first research on a bi-objective four-echelon (supply, processing, storage and customer) postharvest supply chain for agricultural products including that integrates transportation logistics and considers the deterioration rate of products as a time-dependent variable at different levels of decision-making.Bi-objective model for multi-level supply chain by focusing on quality of agricultural products: a case study
Sareh Khazaeli, Mohammad Saeed Jabalameli, Hadi Sahebi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Due to the importance of quality to customers, this study considers criteria of quality and profit and optimizes both in a multi-echelon cold chain of perishable agricultural products whose quality immediately begins to deteriorate after harvest. The two objectives of the proposed cold chain are to maximize profit and quality. Since postharvest quality loss in the supply chain depends on various decisions and factors, in addition to strategic decisions, the authors consider the temperature setting in refrigerated facilities and transportation vehicles due to the unfixed shelf life of the products which is related to the temperature found by Arrhenius formula.

The authors use bi-objective mixed-integer nonlinear programming to design a four-echelon supply chain. The authors integrate the supply chain echelons to detect the sources and factors of quality loss. The four echelons include supply, processing, storage and customer. The decisions, including facility location, assigning nodes of each echelon to corresponding nodes from the adjacent echelon, allocation of vehicles to transport the products from farms to wholesalers, processing selection, and temperature setting in refrigerated facilities, are made in an integrated way. Model verification and validation in the case study are done based on three perishable herbal plants.

The model obtains a 29% profit against a total cost of 71 and 93% of original quality of the crops is maintained, indicating a 7% quality loss. The final quality of 93% is the result of making a US$6m investment in the supply chain, including the procurement of high-quality raw materials; facility establishment; high-speed, high-capacity vehicles; location assignment; processing selection and refrigeration equipment in the storage and transportation systems, helping to maximize both the final quality of the products and the total profit.

The proposed supply chain model should help managers with modeling decisions, especially when it comes to cold chains for agricultural products. The model yields these results – optimal location-allocation decisions for the facilities to minimize distances between the network nodes, which save time and maintain the majority of the products’ original quality; choosing the most appropriate processing method, which reduces the perishability rate; providing high-capacity, high-speed vehicles in the logistics system, which minimizes transportation costs and maximizes the quality; and setting the right temperature in the refrigerated facilities, which mitigates the postharvest decay reaction rate of the products.

Comparison of the results of the present research with those of the traditional chain (obtained through experts) shows that since the designed chain increases the profit as well as the final quality, it has benefits for the main chain stakeholders, which are customers of agricultural products. This study model is expected to have a positive impact on the environment by placing strong emphasis on quality and preventing excessive waste generation and air pollution by imposing a financial penalty on extra demand production.

Since profit and quality of the final product are two important factors in all cultures and communities, the proposed supply chain model can be used in any food industry around the world. Applying the proposed model induces growth in local industries and promotes the culture of prioritizing quality in societies.

To the best of the authors’ knowledge, this is the first research on a bi-objective four-echelon (supply, processing, storage and customer) postharvest supply chain for agricultural products including that integrates transportation logistics and considers the deterioration rate of products as a time-dependent variable at different levels of decision-making.

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Bi-objective model for multi-level supply chain by focusing on quality of agricultural products: a case study10.1108/K-05-2022-0745Kybernetes2023-06-01© 2023 Emerald Publishing LimitedSareh KhazaeliMohammad Saeed JabalameliHadi SahebiKybernetesahead-of-printahead-of-print2023-06-0110.1108/K-05-2022-0745https://www.emerald.com/insight/content/doi/10.1108/K-05-2022-0745/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Government regulation strategy for the maintenance of bike sharinghttps://www.emerald.com/insight/content/doi/10.1108/K-05-2022-0788/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe expansion of bike-sharing enterprises has led to a series of social problems, and due to the high breakage rate and high recycling cost of bike sharing, enterprises are reluctant to maintain them. Therefore, government regulation does play a leading role in maintaining bike sharing. This study’s purpose is to investigate how the government should regulate the bike-sharing enterprises that maintain bicycles. Firstly, the authors assume that there is only one bike-sharing enterprise and establish a game model that the government regulates the enterprise. Furthermore, the authors extend the model to the case that there are two competing enterprises in the market. Finally, through numerical analysis, the influence of various factors on the government strategy and revenue is analyzed. The authors find that the regulatory probability of two enterprises are regulated by the government is larger than that of one enterprise. When two bike-sharing enterprises compete without government regulation, both will choose the non-self-discipline strategy, thus falling into the Prisoner's Dilemma. If the government regulates them, then both enterprises will choose the self-discipline strategy. Finally, through numerical analysis, it is found that the self-discipline behavior of bike-sharing enterprises is related to the government regulatory probability, the cost of self-discipline, the probability of being reported and the penalties. Interestingly, the cost of government regulation will not affect the regulation probability of government. This research provides a theoretical reference for the government to make the regulation strategies of bike sharing and achieve the sustainable development of bike sharing. This research provides a theoretical reference for the government to make the regulation strategies of bike sharing and achieve the sustainable development of bike sharing.Government regulation strategy for the maintenance of bike sharing
Rufeng Wang, Siqi Wang, Guoqu Deng
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The expansion of bike-sharing enterprises has led to a series of social problems, and due to the high breakage rate and high recycling cost of bike sharing, enterprises are reluctant to maintain them. Therefore, government regulation does play a leading role in maintaining bike sharing. This study’s purpose is to investigate how the government should regulate the bike-sharing enterprises that maintain bicycles.

Firstly, the authors assume that there is only one bike-sharing enterprise and establish a game model that the government regulates the enterprise. Furthermore, the authors extend the model to the case that there are two competing enterprises in the market. Finally, through numerical analysis, the influence of various factors on the government strategy and revenue is analyzed.

The authors find that the regulatory probability of two enterprises are regulated by the government is larger than that of one enterprise. When two bike-sharing enterprises compete without government regulation, both will choose the non-self-discipline strategy, thus falling into the Prisoner's Dilemma. If the government regulates them, then both enterprises will choose the self-discipline strategy. Finally, through numerical analysis, it is found that the self-discipline behavior of bike-sharing enterprises is related to the government regulatory probability, the cost of self-discipline, the probability of being reported and the penalties. Interestingly, the cost of government regulation will not affect the regulation probability of government.

This research provides a theoretical reference for the government to make the regulation strategies of bike sharing and achieve the sustainable development of bike sharing.

This research provides a theoretical reference for the government to make the regulation strategies of bike sharing and achieve the sustainable development of bike sharing.

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Government regulation strategy for the maintenance of bike sharing10.1108/K-05-2022-0788Kybernetes2023-02-15© 2023 Emerald Publishing LimitedRufeng WangSiqi WangGuoqu DengKybernetesahead-of-printahead-of-print2023-02-1510.1108/K-05-2022-0788https://www.emerald.com/insight/content/doi/10.1108/K-05-2022-0788/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Totes and trauma 3: a schematic for trauma persistencehttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0736/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this conceptual paper is to demonstrate how memes perpetuate trauma with a schematic. This conceptual paper uses the “begin with the end in mind” meme to format the presentation of the necessary components for the schematic of how trauma persists across generations. It is the third paper in a series of applications of the recursive, test-operate-test schematic to the systemic effects of the information processes involved in trauma. The schematic presented permits evaluations of solutions to interrupt the generational trauma cycle. The required schematic components are described. Trauma (actual or perceived threat to survival) will be briefly discussed. Evolutionary processes that create the psychophysiology necessary to support nominal social expectations (NSEs) memes and metaphors will be summarized. The development of NSEs will be discussed. Metaphors and memes necessary for the creation of the schematic and esoteric events at level Learning IV will be briefly described. Finally, Figure 3, which illustrates the maintenance of NSEs and attempts to prevent their violation, will be explained. It is asserted that functional human social behavior requires NSEs. Trauma is found to persist through the presence of anti-nominal NSE memes that are transduced by the individual into anti-nominal metaphors, which then damage grid, place and dentate gyrus cell (GPDG) neurophysiology. The damaged neurocircuits allow the use of anti-nominal NSE metaphors within our individual neurophysiology. Furthermore, anti-NSE memes interfere with the self-organized criticalities (SOCs) of genetic-epigenetic processes necessary for the intergenerational transfer of functional social behavior. When anti-NSE nominal metaphors are transduced back into anti-NSEs, social niche memes, the trauma process is reiterated. Anti-NSE memes and metaphors are found to be inappropriate criteria central to the maintenance of persistent trauma. Therefore, anti-NSE memes have hijacked our epigenetics and our social niches. Solutions are available because during our evolution, the Homo clade developed esoteric capabilities and the ability to bring back what information we can from those encounters. This physiology operates around the 5HT2A neural receptors that process hallucinogens, such as psilocybin. Accessing this resource system, either through naturally occurring altered states of consciousness or through micro-dose pharmaceutical psilocybin and related neurotransmitters, produces a significant structural change in the GPDG system to reset the NSE system illustrated in the schematic to its nominal status so that we can maintain nominal NSE relationships within our meme niche(s). The source of persistent trauma in our social niche(s), the means by which the trauma is maintained and the means to mitigate and perhaps eliminate persistent trauma are identified. Based on these three conclusions, it is difficult to make decisions regarding corrective actions because of ubiquitous anti-NSE memes and because of the limitations of our ordinary consciousness. If we wish to survive as a species, we will need to discover the criteria necessary to maintain our niche(s) congruent SOCs and use them instead of tyrannical memes described by Dawkins (1989) to make decisions about ourselves and our niche(s). Significant courage is required to identify the memes that maintain trauma because many of them are culturally sacred cows. Unfortunately, we have known since Bremner's (1995) MRI study of posttraumatic stress disorder that trauma causes brain damage. Fortunately, our NSE genes compel us to pursue restitution of the memes that maintain our trauma-inducing cultures. Several original assertions are presented. While the Homo clade ancestors began the creation of the social niche(s) that led to Homo sapiens sapiens, it is asserted that the australopiths created the NSE memes which are the foundation behaviors that permit our social niche(s). Furthermore, NSEs were produced by enhanced intentionality skills and NSEs were created by both genetic and memetic processes. The evolution of intentionality-NSE neural networks is asserted as the source of intentional material manipulation. While anti-NSE memes are claimed as the source of persistent trauma, the practice of esoteric technologies is presented as a solution to persistent trauma.Totes and trauma 3: a schematic for trauma persistence
Kip Errett Patterson
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this conceptual paper is to demonstrate how memes perpetuate trauma with a schematic. This conceptual paper uses the “begin with the end in mind” meme to format the presentation of the necessary components for the schematic of how trauma persists across generations. It is the third paper in a series of applications of the recursive, test-operate-test schematic to the systemic effects of the information processes involved in trauma. The schematic presented permits evaluations of solutions to interrupt the generational trauma cycle.

The required schematic components are described. Trauma (actual or perceived threat to survival) will be briefly discussed. Evolutionary processes that create the psychophysiology necessary to support nominal social expectations (NSEs) memes and metaphors will be summarized. The development of NSEs will be discussed. Metaphors and memes necessary for the creation of the schematic and esoteric events at level Learning IV will be briefly described. Finally, Figure 3, which illustrates the maintenance of NSEs and attempts to prevent their violation, will be explained.

It is asserted that functional human social behavior requires NSEs. Trauma is found to persist through the presence of anti-nominal NSE memes that are transduced by the individual into anti-nominal metaphors, which then damage grid, place and dentate gyrus cell (GPDG) neurophysiology. The damaged neurocircuits allow the use of anti-nominal NSE metaphors within our individual neurophysiology. Furthermore, anti-NSE memes interfere with the self-organized criticalities (SOCs) of genetic-epigenetic processes necessary for the intergenerational transfer of functional social behavior. When anti-NSE nominal metaphors are transduced back into anti-NSEs, social niche memes, the trauma process is reiterated. Anti-NSE memes and metaphors are found to be inappropriate criteria central to the maintenance of persistent trauma. Therefore, anti-NSE memes have hijacked our epigenetics and our social niches. Solutions are available because during our evolution, the Homo clade developed esoteric capabilities and the ability to bring back what information we can from those encounters. This physiology operates around the 5HT2A neural receptors that process hallucinogens, such as psilocybin. Accessing this resource system, either through naturally occurring altered states of consciousness or through micro-dose pharmaceutical psilocybin and related neurotransmitters, produces a significant structural change in the GPDG system to reset the NSE system illustrated in the schematic to its nominal status so that we can maintain nominal NSE relationships within our meme niche(s).

The source of persistent trauma in our social niche(s), the means by which the trauma is maintained and the means to mitigate and perhaps eliminate persistent trauma are identified. Based on these three conclusions, it is difficult to make decisions regarding corrective actions because of ubiquitous anti-NSE memes and because of the limitations of our ordinary consciousness.

If we wish to survive as a species, we will need to discover the criteria necessary to maintain our niche(s) congruent SOCs and use them instead of tyrannical memes described by Dawkins (1989) to make decisions about ourselves and our niche(s).

Significant courage is required to identify the memes that maintain trauma because many of them are culturally sacred cows. Unfortunately, we have known since Bremner's (1995) MRI study of posttraumatic stress disorder that trauma causes brain damage. Fortunately, our NSE genes compel us to pursue restitution of the memes that maintain our trauma-inducing cultures.

Several original assertions are presented. While the Homo clade ancestors began the creation of the social niche(s) that led to Homo sapiens sapiens, it is asserted that the australopiths created the NSE memes which are the foundation behaviors that permit our social niche(s). Furthermore, NSEs were produced by enhanced intentionality skills and NSEs were created by both genetic and memetic processes. The evolution of intentionality-NSE neural networks is asserted as the source of intentional material manipulation. While anti-NSE memes are claimed as the source of persistent trauma, the practice of esoteric technologies is presented as a solution to persistent trauma.

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Totes and trauma 3: a schematic for trauma persistence10.1108/K-05-2023-0736Kybernetes2023-09-22© 2023 Emerald Publishing LimitedKip Errett PattersonKybernetesahead-of-printahead-of-print2023-09-2210.1108/K-05-2023-0736https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0736/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Are we making progress in developing knowledge management strategies that support organizational performance?https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0739/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the present study is to establish the emerging trend of studies on knowledge management (KM) strategy from 2007 to 2021 and identify the most studied constructs, methodologies used and gaps, thereby suggesting future directions. Guided by items on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, the study analyzed 46 articles published within the 15 years under review. An upward trend in KM strategy studies published from 2007 to 2021 emerged, indicating researchers' growing interest in the topic. Further, the studies reaffirmed the essence of having a KM strategy alongside other functional strategies for an organization's outstanding performance. Key KM strategy antecedents were identified: resource availability, communication, business environment, stakeholder participation, organizational culture and incentives. The need to align the KM strategy and other functional strategies with the overall business strategy was also established as critical. Finally, gaps in study methodologies and extant literature were identified, leading to suggestions for future directions. The study provides valuable insights regarding the emerging trend of studies on KM strategy over the 15 years, identification of methodologies used in the studies and the most studied constructs. To this effect, the study's uniqueness lies in the identified gaps and recommendations made for future research directions as it strives to bridge the identified gaps.Are we making progress in developing knowledge management strategies that support organizational performance?
Sanjay Kaushal, Austin Milward Nyoni, Aarti Sharma
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the present study is to establish the emerging trend of studies on knowledge management (KM) strategy from 2007 to 2021 and identify the most studied constructs, methodologies used and gaps, thereby suggesting future directions.

Guided by items on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, the study analyzed 46 articles published within the 15 years under review.

An upward trend in KM strategy studies published from 2007 to 2021 emerged, indicating researchers' growing interest in the topic. Further, the studies reaffirmed the essence of having a KM strategy alongside other functional strategies for an organization's outstanding performance. Key KM strategy antecedents were identified: resource availability, communication, business environment, stakeholder participation, organizational culture and incentives. The need to align the KM strategy and other functional strategies with the overall business strategy was also established as critical. Finally, gaps in study methodologies and extant literature were identified, leading to suggestions for future directions.

The study provides valuable insights regarding the emerging trend of studies on KM strategy over the 15 years, identification of methodologies used in the studies and the most studied constructs. To this effect, the study's uniqueness lies in the identified gaps and recommendations made for future research directions as it strives to bridge the identified gaps.

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Are we making progress in developing knowledge management strategies that support organizational performance?10.1108/K-05-2023-0739Kybernetes2023-09-26© 2023 Emerald Publishing LimitedSanjay KaushalAustin Milward NyoniAarti SharmaKybernetesahead-of-printahead-of-print2023-09-2610.1108/K-05-2023-0739https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0739/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Does digital transformation promote labor structure optimization in manufacturing enterprises? An analysis of China's pilot policy using time-varying DID modelhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0747/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to examine the impact of China's “Manufacturing and Internet Integration Development Pilot Demonstration Project” (MIP) policy on the digital transformation (DT) and labor structure optimization (LSU) of manufacturing enterprises, reveal the relationship between DT and LSU at the micro level and investigate the mechanism between them. This study employs MIP as a quasi-natural experiment and develops a time-varying difference-in-difference (DID) model based on a sample of 2,445 Chinese A-share listed manufacturing enterprises in the Shanghai and Shenzhen markets from 2013 to 2021. The implementation of MIP significantly increases DT by 0.4366 and optimizes LSU by 0.0507. By enhancing the two mediated variables of organizational learning inputs (SI) and employees' personal digital cognition (PDC), DT can optimize the LSU of pilot enterprises by 0.035 and 0.034, according to the results of the mechanism analysis. The study also reveals that the impact of MIP on LSU is highly heterogeneous. With effects of 0.0691 and 0.0632, the optimization effect is more pronounced in state-owned firms and firms with low ownership concentration, respectively. This study demonstrates the dual effects of the MIP pilot on DT and LSU. In addition, this study pioneers research on the significance of optimizing the labor structure through SI and PDC on the basis of DT, which provides an empirical foundation for the Chinese Government to expand the scope of MIP pilots and revise policy content, as well as for manufacturing enterprises to upgrade the labor structure.Does digital transformation promote labor structure optimization in manufacturing enterprises? An analysis of China's pilot policy using time-varying DID model
Ying Tian, Ke Qi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to examine the impact of China's “Manufacturing and Internet Integration Development Pilot Demonstration Project” (MIP) policy on the digital transformation (DT) and labor structure optimization (LSU) of manufacturing enterprises, reveal the relationship between DT and LSU at the micro level and investigate the mechanism between them.

This study employs MIP as a quasi-natural experiment and develops a time-varying difference-in-difference (DID) model based on a sample of 2,445 Chinese A-share listed manufacturing enterprises in the Shanghai and Shenzhen markets from 2013 to 2021.

The implementation of MIP significantly increases DT by 0.4366 and optimizes LSU by 0.0507. By enhancing the two mediated variables of organizational learning inputs (SI) and employees' personal digital cognition (PDC), DT can optimize the LSU of pilot enterprises by 0.035 and 0.034, according to the results of the mechanism analysis. The study also reveals that the impact of MIP on LSU is highly heterogeneous. With effects of 0.0691 and 0.0632, the optimization effect is more pronounced in state-owned firms and firms with low ownership concentration, respectively.

This study demonstrates the dual effects of the MIP pilot on DT and LSU. In addition, this study pioneers research on the significance of optimizing the labor structure through SI and PDC on the basis of DT, which provides an empirical foundation for the Chinese Government to expand the scope of MIP pilots and revise policy content, as well as for manufacturing enterprises to upgrade the labor structure.

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Does digital transformation promote labor structure optimization in manufacturing enterprises? An analysis of China's pilot policy using time-varying DID model10.1108/K-05-2023-0747Kybernetes2023-10-05© 2023 Emerald Publishing LimitedYing TianKe QiKybernetesahead-of-printahead-of-print2023-10-0510.1108/K-05-2023-0747https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0747/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Are the traditional socio-economic causes of poverty still pertinent nowadays? Evidence from Romania within the European Union contexthttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0749/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestFirstly, the authors aimed at offering a general perspective on poverty, highlighting important directions of thinking from the theoretical development, including poverty's main causes (like education, health, social protection, economic growth, employment and good governance). Secondly, it was investigated the problem of poverty in Romania after its accession to the European Union (EU), aiming to show (1) Romania's position among the EU member states, nearby (2) the direct and indirect effects of the selected factors particularly in this country. Based on data from Eurostat and Global Competitiveness Index (GCI), descriptive and path analyses were performed for the period between 2007 and 2020. The main results emphasized (1) the critical position of Romania among the EU member states in 2020 and the progress recorded since 2007, nearby (2) the direct and indirect effects of the selected factors on poverty in this country. The study highlighted the limited chances for the full participation of the poor people of Romania in the progress of the entire society, especially in terms of education and economic growth. The major contribution of this study is that it assumes to investigate a profound and persistent societal phenomenon in Romania that is not sufficiently analyzed, discussed and understood. Consequently, this study attained its main objective of showing that the main traditional socio-economic causes of poverty are still pertinent in the actual Romanian society.Are the traditional socio-economic causes of poverty still pertinent nowadays? Evidence from Romania within the European Union context
Simona-Roxana Ulman, Krisztina Melinda Dobay
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Firstly, the authors aimed at offering a general perspective on poverty, highlighting important directions of thinking from the theoretical development, including poverty's main causes (like education, health, social protection, economic growth, employment and good governance). Secondly, it was investigated the problem of poverty in Romania after its accession to the European Union (EU), aiming to show (1) Romania's position among the EU member states, nearby (2) the direct and indirect effects of the selected factors particularly in this country.

Based on data from Eurostat and Global Competitiveness Index (GCI), descriptive and path analyses were performed for the period between 2007 and 2020.

The main results emphasized (1) the critical position of Romania among the EU member states in 2020 and the progress recorded since 2007, nearby (2) the direct and indirect effects of the selected factors on poverty in this country. The study highlighted the limited chances for the full participation of the poor people of Romania in the progress of the entire society, especially in terms of education and economic growth.

The major contribution of this study is that it assumes to investigate a profound and persistent societal phenomenon in Romania that is not sufficiently analyzed, discussed and understood. Consequently, this study attained its main objective of showing that the main traditional socio-economic causes of poverty are still pertinent in the actual Romanian society.

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Are the traditional socio-economic causes of poverty still pertinent nowadays? Evidence from Romania within the European Union context10.1108/K-05-2023-0749Kybernetes2023-08-11© 2023 Emerald Publishing LimitedSimona-Roxana UlmanKrisztina Melinda DobayKybernetesahead-of-printahead-of-print2023-08-1110.1108/K-05-2023-0749https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0749/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Existence as a web of problem-solving systemshttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0751/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestProblem-solving, systems thinking and design thinking are disciplines practiced by all human beings and is also innate in other living objects with limited use of symbolic structures. They are necessary to achieve the goals and survive. Interpretation of problem-solving as a change in equilibrium makes it applicable throughout the inanimate world. The aim is to describe the proposed empirical systems theory that integrates problem-solving and systems thinking through design thinking. A brief historical background describes why comprehensive empirical systems theory has not been attempted before except as a restricted version in engineering systems. The methodology of the general theory follows that of conventional science, but with systemic content. Interference by required mental or physical product/systems changes states which is subject to discussion, creativity, innovation and inspiration accomplished by iteration as necessary. A problem-solving structure has been created, which is implemented in a methodical way to aid the innate ability of individuals and organisations, and is open to modifications and the use of quantitative methods. Processed natural language allows for implementation at the operational level. The proposed systems theory is an empirical theory that uses the structural properties of parts of the world. The integration makes “systems” the driver of change of state and offers fundamental concepts. The implementation shown in Figure 2 is methodical and can be applied by individuals and organisations subject to peer review and development. The method clarifies the roles of product/artifact and systems designers.Existence as a web of problem-solving systems
Janos Korn
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Problem-solving, systems thinking and design thinking are disciplines practiced by all human beings and is also innate in other living objects with limited use of symbolic structures. They are necessary to achieve the goals and survive. Interpretation of problem-solving as a change in equilibrium makes it applicable throughout the inanimate world. The aim is to describe the proposed empirical systems theory that integrates problem-solving and systems thinking through design thinking.

A brief historical background describes why comprehensive empirical systems theory has not been attempted before except as a restricted version in engineering systems. The methodology of the general theory follows that of conventional science, but with systemic content. Interference by required mental or physical product/systems changes states which is subject to discussion, creativity, innovation and inspiration accomplished by iteration as necessary.

A problem-solving structure has been created, which is implemented in a methodical way to aid the innate ability of individuals and organisations, and is open to modifications and the use of quantitative methods. Processed natural language allows for implementation at the operational level.

The proposed systems theory is an empirical theory that uses the structural properties of parts of the world. The integration makes “systems” the driver of change of state and offers fundamental concepts. The implementation shown in Figure 2 is methodical and can be applied by individuals and organisations subject to peer review and development. The method clarifies the roles of product/artifact and systems designers.

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Existence as a web of problem-solving systems10.1108/K-05-2023-0751Kybernetes2023-10-05© 2023 Emerald Publishing LimitedJanos KornKybernetesahead-of-printahead-of-print2023-10-0510.1108/K-05-2023-0751https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0751/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Why I am trapped in the spiral of abuse? A nexus of low core self-evaluations and job dependencyhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0754/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe present research aims to empirically test the “Barriers to abusive supervision model” to find how employee-related (core self-evaluations) and situational factors (perceived job dependency) make an employee trapped in the spiral of supervisory abuse. In addition, the work–family spillover lens is used to explain how employees' retaliation is targeted at their families in response to abuse from their bosses. The current study has employed a three-wave longitudinal moderated mediation design and analysed data from 265 employees working in the hospitality industry of Pakistan. The results of this study have shown that low core-self evaluations put employees in a spiral of supervisory abuse and they instil aggression towards their families. This association is further strengthened when employees are dependent on their job. This study is one of the first to use the “Barriers to Abusive supervision” model to answer who and in which conditions tend to trap in the spiral of abuse and integrate the work-to-family interface model for elaborating the outcomes to the family domain.Why I am trapped in the spiral of abuse? A nexus of low core self-evaluations and job dependency
Tehreem Fatima, Muhammad Kashif Imran, Ambreen Sarwar, Sobia Shabeer, Muhammad Rizwan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The present research aims to empirically test the “Barriers to abusive supervision model” to find how employee-related (core self-evaluations) and situational factors (perceived job dependency) make an employee trapped in the spiral of supervisory abuse. In addition, the work–family spillover lens is used to explain how employees' retaliation is targeted at their families in response to abuse from their bosses.

The current study has employed a three-wave longitudinal moderated mediation design and analysed data from 265 employees working in the hospitality industry of Pakistan.

The results of this study have shown that low core-self evaluations put employees in a spiral of supervisory abuse and they instil aggression towards their families. This association is further strengthened when employees are dependent on their job.

This study is one of the first to use the “Barriers to Abusive supervision” model to answer who and in which conditions tend to trap in the spiral of abuse and integrate the work-to-family interface model for elaborating the outcomes to the family domain.

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Why I am trapped in the spiral of abuse? A nexus of low core self-evaluations and job dependency10.1108/K-05-2023-0754Kybernetes2024-02-06© 2024 Emerald Publishing LimitedTehreem FatimaMuhammad Kashif ImranAmbreen SarwarSobia ShabeerMuhammad RizwanKybernetesahead-of-printahead-of-print2024-02-0610.1108/K-05-2023-0754https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0754/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Dynamics between economic activities, eco-friendly energy and ecological footprints: a fresh evidence from BRICS countrieshttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0759/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestEnvironmental protection and conservation of resources is a challenge for policymakers to attain sustainable growth and development. The current study uses the variable of inclusive growth instead of the traditional measure of growth. The link between inclusive growth, renewable energy, industrial production, trade openness and the environment is explored by using panel data from 1995 to 2019 in Brazil, Russia, India, China and South Africa (BRICS) countries. Before applying formal techniques, unit root tests were applied to check the stationarity of each variable. The long-run relationship among factors was found by the Kao cointegration test. The panel dynamic ordinary least squares (DLOS) was employed for regression estimation. The results verified a decrease in ecological footprint (EF) in response to a potential rise in renewable energy consumption. An upsurge in EFs was explored due to a rise in gross domestic product (GDP) per person employed and trade openness. The EF significantly decreased by 0.671% in response to a 1% rise in renewable energy consumption. It is highly suggested to enhance renewable energy usage. To achieve this, policymakers should implement and emphasize efficient energy technologies to ensure improving the environment. Efficient use of renewable energy resources will decrease global warming effects and ensure the sustainable use of scarce resources. It first took into account the variable of inclusive growth instead of traditional growth measures. It explored the impact of GDP per person employed as an indicator of inclusive growth.Dynamics between economic activities, eco-friendly energy and ecological footprints: a fresh evidence from BRICS countries
Kanwal Zahid, Qamar Ali, Zafar Iqbal, Samina Saghir, Muhammad Tariq Iqbal Khan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Environmental protection and conservation of resources is a challenge for policymakers to attain sustainable growth and development. The current study uses the variable of inclusive growth instead of the traditional measure of growth.

The link between inclusive growth, renewable energy, industrial production, trade openness and the environment is explored by using panel data from 1995 to 2019 in Brazil, Russia, India, China and South Africa (BRICS) countries. Before applying formal techniques, unit root tests were applied to check the stationarity of each variable. The long-run relationship among factors was found by the Kao cointegration test. The panel dynamic ordinary least squares (DLOS) was employed for regression estimation.

The results verified a decrease in ecological footprint (EF) in response to a potential rise in renewable energy consumption. An upsurge in EFs was explored due to a rise in gross domestic product (GDP) per person employed and trade openness. The EF significantly decreased by 0.671% in response to a 1% rise in renewable energy consumption.

It is highly suggested to enhance renewable energy usage. To achieve this, policymakers should implement and emphasize efficient energy technologies to ensure improving the environment. Efficient use of renewable energy resources will decrease global warming effects and ensure the sustainable use of scarce resources.

It first took into account the variable of inclusive growth instead of traditional growth measures. It explored the impact of GDP per person employed as an indicator of inclusive growth.

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Dynamics between economic activities, eco-friendly energy and ecological footprints: a fresh evidence from BRICS countries10.1108/K-05-2023-0759Kybernetes2023-12-12© 2023 Emerald Publishing LimitedKanwal ZahidQamar AliZafar IqbalSamina SaghirMuhammad Tariq Iqbal KhanKybernetesahead-of-printahead-of-print2023-12-1210.1108/K-05-2023-0759https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0759/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Information systems research on mergers and acquisitions: a systematic literature reviewhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0763/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThus, this study aims to determine the status-quo of research on the role of IT in M&A from 2010 to 2022 by providing a summative meta-analysis of this phenomenon. This study presents a meta-analysis of mergers and acquisitions (M&A) research in information systems (IS), aimed at accounting for themes in M&A literature over the past 13 years, research methodology, research frameworks, level of analysis and geographical distribution. A total of 47 articles from 24 peer review articles and 23 conference publications were analyzed from 2010 to 2022. Findings of the study suggest that M&A research in IS emphasizes IS integration at the expense of other under-explored dimensions such as M&A context, stakeholder involvement and within-firm conditions. Although studies on M&A have increased over the past 10 years, a significant number of studies have not been underpinned by models and theories. Also, a large number of studies adopted the qualitative approach as research methodology compared to quantitative, design science and mixed methods. This study contributes to the literature on M&A in IS by proposing an M&A in IS research framework that bridges the gap between existing and future studies on M&A in IS research by shedding more light into well research areas and opportunities for further studies.Information systems research on mergers and acquisitions: a systematic literature review
David Aboagye-Darko, Samuel Nii Boi Attuquayefio, Nathaniel Ankomah, Amanda Quist Okronipa, Jones Yeboah Nyame
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Thus, this study aims to determine the status-quo of research on the role of IT in M&A from 2010 to 2022 by providing a summative meta-analysis of this phenomenon.

This study presents a meta-analysis of mergers and acquisitions (M&A) research in information systems (IS), aimed at accounting for themes in M&A literature over the past 13 years, research methodology, research frameworks, level of analysis and geographical distribution. A total of 47 articles from 24 peer review articles and 23 conference publications were analyzed from 2010 to 2022.

Findings of the study suggest that M&A research in IS emphasizes IS integration at the expense of other under-explored dimensions such as M&A context, stakeholder involvement and within-firm conditions. Although studies on M&A have increased over the past 10 years, a significant number of studies have not been underpinned by models and theories. Also, a large number of studies adopted the qualitative approach as research methodology compared to quantitative, design science and mixed methods.

This study contributes to the literature on M&A in IS by proposing an M&A in IS research framework that bridges the gap between existing and future studies on M&A in IS research by shedding more light into well research areas and opportunities for further studies.

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Information systems research on mergers and acquisitions: a systematic literature review10.1108/K-05-2023-0763Kybernetes2023-09-08© 2023 Emerald Publishing LimitedDavid Aboagye-DarkoSamuel Nii Boi AttuquayefioNathaniel AnkomahAmanda Quist OkronipaJones Yeboah NyameKybernetesahead-of-printahead-of-print2023-09-0810.1108/K-05-2023-0763https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0763/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring the nuances of biomedical language: a study on the polysemy of the word patternhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0767/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestEffective communication is crucial in the medical field where different stakeholders use various terminologies to describe and classify healthcare concepts such as ICD, SNOMED CT, UMLS and MeSH, but the problem of polysemy can make natural language processing difficult. This study explores the contextual meanings of the term “pattern” in the biomedical literature, compares them to existing definitions, annotates a corpus for use in machine learning and proposes new definitions of terms such as “Syndrome, feature” and “pattern recognition.” Entrez API was used to retrieve articles form PubMed for the study which assembled a corpus of 398 articles using a search query for the ambiguous term “pattern” in the titles or abstracts. The python NLTK library was used to extract the terms and their contexts, and an expert check was carried out. To understand the various meanings of the term, the contextual environment was analyzed by extracting the surrounding words of the term. The expert determined the appropriate size of the context for analysis to gain a more nuanced understanding of the different meanings of the term pattern. The study found that the categories of meanings of the term “pattern” are broader in biomedical publications than in common definitions, and new categories have been emerging from the term's use in the biomedical field. The study highlights the importance of annotated corpora in advancing natural language processing techniques and provides valuable insights into the nuances of biomedical language. The study's findings demonstrate the importance of exploring contextual meanings and proposing new definitions of terms in the biomedical field to improve natural language processing techniques.Exploring the nuances of biomedical language: a study on the polysemy of the word pattern
Aida Khakimova, Oleg Zolotarev, Sanjay Kaushal
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Effective communication is crucial in the medical field where different stakeholders use various terminologies to describe and classify healthcare concepts such as ICD, SNOMED CT, UMLS and MeSH, but the problem of polysemy can make natural language processing difficult. This study explores the contextual meanings of the term “pattern” in the biomedical literature, compares them to existing definitions, annotates a corpus for use in machine learning and proposes new definitions of terms such as “Syndrome, feature” and “pattern recognition.”

Entrez API was used to retrieve articles form PubMed for the study which assembled a corpus of 398 articles using a search query for the ambiguous term “pattern” in the titles or abstracts. The python NLTK library was used to extract the terms and their contexts, and an expert check was carried out. To understand the various meanings of the term, the contextual environment was analyzed by extracting the surrounding words of the term. The expert determined the appropriate size of the context for analysis to gain a more nuanced understanding of the different meanings of the term pattern.

The study found that the categories of meanings of the term “pattern” are broader in biomedical publications than in common definitions, and new categories have been emerging from the term's use in the biomedical field. The study highlights the importance of annotated corpora in advancing natural language processing techniques and provides valuable insights into the nuances of biomedical language.

The study's findings demonstrate the importance of exploring contextual meanings and proposing new definitions of terms in the biomedical field to improve natural language processing techniques.

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Exploring the nuances of biomedical language: a study on the polysemy of the word pattern10.1108/K-05-2023-0767Kybernetes2023-07-25© 2023 Emerald Publishing LimitedAida KhakimovaOleg ZolotarevSanjay KaushalKybernetesahead-of-printahead-of-print2023-07-2510.1108/K-05-2023-0767https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0767/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Breaking the mold: how customer perceived innovativeness sets restaurants aparthttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0779/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe intense competition among restaurant brands made it difficult to retain and engage customers. Service innovation can play a vital role to serve this purpose, however, restaurant brands' efforts to bringing innovativeness may not yield desired results unless customers perceive them innovative. Therefore, the present study aims to investigate the role of customer perceived innovativeness (CPRI) in enhancing brand love and evangelism among customers. This study compares these effects between fast-food and continental restaurants to offer deeper insights. Data were collected from 303 customers of fast-food and continental restaurants through self-administered structured questionnaire. The reliability and validity were established through confirmatory factor analysis. The hypotheses were tested using structural equation modeling and multi-group SEM with MPlus. The findings of this study reveal that menu, experiential and promotional innovativeness dimensions of CPRI positively influence brand love. The effects of CPRI dimensions transcend to brand evangelism dimensions, i.e. brand purchase intension, positive brand referrals and oppositional brand referrals via brand love. The multi-group analysis showed that continental restaurants' menu innovativeness strongly impacts brand love and evangelism while promotional innovativeness matters more in the context of fast-food restaurants. This study helps restaurant managers in devising tailor made strategies for fast-food and continental restaurants by focusing on the relevant attributes to bring innovation. This research is one of the pioneering studies to investigate the relationship of CPRI with brand evangelism through the mediating role of brand love. This study also marks an initial attempt to compare fast-food and continental restaurants in the context of CPRI.Breaking the mold: how customer perceived innovativeness sets restaurants apart
Khalid Hussain, Asma Afzaal, Maha Khamis Al Balushi, Muhammad Junaid
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The intense competition among restaurant brands made it difficult to retain and engage customers. Service innovation can play a vital role to serve this purpose, however, restaurant brands' efforts to bringing innovativeness may not yield desired results unless customers perceive them innovative. Therefore, the present study aims to investigate the role of customer perceived innovativeness (CPRI) in enhancing brand love and evangelism among customers. This study compares these effects between fast-food and continental restaurants to offer deeper insights.

Data were collected from 303 customers of fast-food and continental restaurants through self-administered structured questionnaire. The reliability and validity were established through confirmatory factor analysis. The hypotheses were tested using structural equation modeling and multi-group SEM with MPlus.

The findings of this study reveal that menu, experiential and promotional innovativeness dimensions of CPRI positively influence brand love. The effects of CPRI dimensions transcend to brand evangelism dimensions, i.e. brand purchase intension, positive brand referrals and oppositional brand referrals via brand love. The multi-group analysis showed that continental restaurants' menu innovativeness strongly impacts brand love and evangelism while promotional innovativeness matters more in the context of fast-food restaurants.

This study helps restaurant managers in devising tailor made strategies for fast-food and continental restaurants by focusing on the relevant attributes to bring innovation.

This research is one of the pioneering studies to investigate the relationship of CPRI with brand evangelism through the mediating role of brand love. This study also marks an initial attempt to compare fast-food and continental restaurants in the context of CPRI.

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Breaking the mold: how customer perceived innovativeness sets restaurants apart10.1108/K-05-2023-0779Kybernetes2023-10-10© 2023 Emerald Publishing LimitedKhalid HussainAsma AfzaalMaha Khamis Al BalushiMuhammad JunaidKybernetesahead-of-printahead-of-print2023-10-1010.1108/K-05-2023-0779https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0779/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Does empowering leadership help firms to establish collaborative culture and organizational commitment to stimulate frugal innovation?https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0786/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestGiven innovation's significance, this research examines the link between empowered leadership and frugal innovation. The research also explores how collaborative cultures and organizational commitment mediate empowered leadership's effect on frugal innovation. Quantitative method is used with the approach of hierarchical regression to test the hypotheses with data obtained from Pakistani small- and medium-sized enterprises (SMEs) through the questionnaire from 288 participants. The results of this study show that empowered leadership has a considerable impact on the firm's capacity for frugal innovation. Additionally, this study shows that organizational commitment and collaborative culture significantly moderate the association between empowering leadership and frugal innovation. Future studies should examine mediating factors, including employment experience, education and perceived organizational support, and moderating variables like employee psychological empowerment and leadership styles. This research advises SMEs in developing nations to utilize frugal innovation since they cannot afford to spend extensively on technologies that add creativity and innovation to goods and services. This study advances how leadership both directly and indirectly helps organizations strengthen their capacity for frugal innovation through the mediating roles of collaborative culture and organizational commitment.Does empowering leadership help firms to establish collaborative culture and organizational commitment to stimulate frugal innovation?
Abdul Hakeem Waseel, Jianhua Zhang, Muhammad Usman Shehzad, Ayesha Saddiqa, Jinyan Liu, Sajjad Hussain
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Given innovation's significance, this research examines the link between empowered leadership and frugal innovation. The research also explores how collaborative cultures and organizational commitment mediate empowered leadership's effect on frugal innovation.

Quantitative method is used with the approach of hierarchical regression to test the hypotheses with data obtained from Pakistani small- and medium-sized enterprises (SMEs) through the questionnaire from 288 participants.

The results of this study show that empowered leadership has a considerable impact on the firm's capacity for frugal innovation. Additionally, this study shows that organizational commitment and collaborative culture significantly moderate the association between empowering leadership and frugal innovation.

Future studies should examine mediating factors, including employment experience, education and perceived organizational support, and moderating variables like employee psychological empowerment and leadership styles.

This research advises SMEs in developing nations to utilize frugal innovation since they cannot afford to spend extensively on technologies that add creativity and innovation to goods and services.

This study advances how leadership both directly and indirectly helps organizations strengthen their capacity for frugal innovation through the mediating roles of collaborative culture and organizational commitment.

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Does empowering leadership help firms to establish collaborative culture and organizational commitment to stimulate frugal innovation?10.1108/K-05-2023-0786Kybernetes2023-11-23© 2023 Emerald Publishing LimitedAbdul Hakeem WaseelJianhua ZhangMuhammad Usman ShehzadAyesha SaddiqaJinyan LiuSajjad HussainKybernetesahead-of-printahead-of-print2023-11-2310.1108/K-05-2023-0786https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0786/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Linking emotional solidarity with residents' support for religious tourism development: an empirical research from a cultural heritage contexthttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0787/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe aim of this research study is to examine the role of emotional solidarity on religious tourism support. Data for the present research work were attained from various groups of residents in Amasya province/Türkiye. The Google form-based questionnaires were self-managed by the participants. In the context of the survey, 306 complete questionnaires were gathered. For the data analysis, partial least squares structural equation modeling (PLS-SEM) technique was used via SmartPLS 4.0 software in conjunction with SPSS version 23. The analysis results show that the emotional solidarity dimensions such as welcoming nature and sympathetic understanding were found to be positively related with religious tourism support at different coefficient levels; however, emotional closeness was not statistically related. This study adds fresh insights into the field of tourist literature and has beneficial ramifications for business development in the area of religious tourism.Linking emotional solidarity with residents' support for religious tourism development: an empirical research from a cultural heritage context
Mustafa Daskin, Kenan Pala
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The aim of this research study is to examine the role of emotional solidarity on religious tourism support. Data for the present research work were attained from various groups of residents in Amasya province/Türkiye.

The Google form-based questionnaires were self-managed by the participants. In the context of the survey, 306 complete questionnaires were gathered. For the data analysis, partial least squares structural equation modeling (PLS-SEM) technique was used via SmartPLS 4.0 software in conjunction with SPSS version 23.

The analysis results show that the emotional solidarity dimensions such as welcoming nature and sympathetic understanding were found to be positively related with religious tourism support at different coefficient levels; however, emotional closeness was not statistically related.

This study adds fresh insights into the field of tourist literature and has beneficial ramifications for business development in the area of religious tourism.

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Linking emotional solidarity with residents' support for religious tourism development: an empirical research from a cultural heritage context10.1108/K-05-2023-0787Kybernetes2023-10-03© 2023 Emerald Publishing LimitedMustafa DaskinKenan PalaKybernetesahead-of-printahead-of-print2023-10-0310.1108/K-05-2023-0787https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0787/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Risk attitudes impact the entrepreneurial choices of Chinese agricultural laborers: a deep mechanism analysishttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0789/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to precisely measure the risk attitudes of Chinese agricultural laborers and then analyze the impact and mechanism of risk attitudes on the entrepreneurial choices of Chinese agricultural laborers. This paper is based on the theory of expected utility function and utilizes the authoritative China Family Panel Studies (CFPS) to accurately measure the risk attitudes of 7,639 Chinese agricultural laborers through experimental methods. In the empirical analysis, this paper employed Probit, IV-Probit and mediation effect models to examine the research hypotheses. First, agricultural laborers with the lowest risk appetite account for 54.8%, which is 8.69 times the number of agricultural laborers with the highest risk appetite. Second, agricultural laborers preferring risk are more likely to engage in entrepreneurship; this result has been validated through a series of robustness tests. Third, mechanism analysis shows that risk attitude drives the entrepreneurship of Chinese agricultural laborers through improving interpersonal trust, social interaction and formal credit behavior. Existing research has mainly investigated the impact of risk attitudes on the entrepreneurial choices of the general population, with limited attention paid to agricultural laborers. The potential mechanisms in that process remain unclear, and the measurement results of risk attitude also require further precision. Based on experimental method, this paper not only helps clarify the relationship between risk attitudes and agricultural laborers entrepreneurship in China, but also provides policy recommendations to promote agricultural laborers entrepreneurship and drive rural development.Risk attitudes impact the entrepreneurial choices of Chinese agricultural laborers: a deep mechanism analysis
Guanghao Wu, Xiuyi Shi, Jiajia Li
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to precisely measure the risk attitudes of Chinese agricultural laborers and then analyze the impact and mechanism of risk attitudes on the entrepreneurial choices of Chinese agricultural laborers.

This paper is based on the theory of expected utility function and utilizes the authoritative China Family Panel Studies (CFPS) to accurately measure the risk attitudes of 7,639 Chinese agricultural laborers through experimental methods. In the empirical analysis, this paper employed Probit, IV-Probit and mediation effect models to examine the research hypotheses.

First, agricultural laborers with the lowest risk appetite account for 54.8%, which is 8.69 times the number of agricultural laborers with the highest risk appetite. Second, agricultural laborers preferring risk are more likely to engage in entrepreneurship; this result has been validated through a series of robustness tests. Third, mechanism analysis shows that risk attitude drives the entrepreneurship of Chinese agricultural laborers through improving interpersonal trust, social interaction and formal credit behavior.

Existing research has mainly investigated the impact of risk attitudes on the entrepreneurial choices of the general population, with limited attention paid to agricultural laborers. The potential mechanisms in that process remain unclear, and the measurement results of risk attitude also require further precision. Based on experimental method, this paper not only helps clarify the relationship between risk attitudes and agricultural laborers entrepreneurship in China, but also provides policy recommendations to promote agricultural laborers entrepreneurship and drive rural development.

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Risk attitudes impact the entrepreneurial choices of Chinese agricultural laborers: a deep mechanism analysis10.1108/K-05-2023-0789Kybernetes2023-08-21© 2023 Emerald Publishing LimitedGuanghao WuXiuyi ShiJiajia LiKybernetesahead-of-printahead-of-print2023-08-2110.1108/K-05-2023-0789https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0789/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Investor gambling preferences and stock returns: evidence from the Shanghai A-share marketshttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0802/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to examine the relationship between investor gambling preferences and stock returns, using data for all firms listed in Shanghai A-share market during 2016 and 2021. This study employs price and trading volume data to capture the behavioral characteristics and gambling preferences of investors. Using the Fama-French three-factor and five-factor models to estimate benchmark returns, this study investigates whether investing in gambling stocks can yield positive excess returns. The study reveals that stocks identified as gambling stocks generate high returns in the month they are identified as such but subsequently experience a significant drop in excess returns compared to non-gambling stocks over the following one to six months. These results are found to be consistent across different methods used to classify gambling stocks and across various industry sectors. This research provides insights into the risk-return tradeoff of different stock types and the factors that fuel irrational investment behavior. This research underscores the importance of considering the behavioral elements of investment, particularly in emerging markets where individual investors have a significant impact. This study advises investors to avoid adopting a gambler or speculative mindset and instead make well-informed and calculated investment decisions that are in line with investors financial objectives and risk appetite. This approach can help create a more stable and sustainable financial market. This study provides new evidence on the relationship between gambling preferences and future stock returns in financial markets and sheds new light on the important role of irrational factors in investment decisions.Investor gambling preferences and stock returns: evidence from the Shanghai A-share markets
Larry Su
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to examine the relationship between investor gambling preferences and stock returns, using data for all firms listed in Shanghai A-share market during 2016 and 2021.

This study employs price and trading volume data to capture the behavioral characteristics and gambling preferences of investors. Using the Fama-French three-factor and five-factor models to estimate benchmark returns, this study investigates whether investing in gambling stocks can yield positive excess returns.

The study reveals that stocks identified as gambling stocks generate high returns in the month they are identified as such but subsequently experience a significant drop in excess returns compared to non-gambling stocks over the following one to six months. These results are found to be consistent across different methods used to classify gambling stocks and across various industry sectors.

This research provides insights into the risk-return tradeoff of different stock types and the factors that fuel irrational investment behavior. This research underscores the importance of considering the behavioral elements of investment, particularly in emerging markets where individual investors have a significant impact.

This study advises investors to avoid adopting a gambler or speculative mindset and instead make well-informed and calculated investment decisions that are in line with investors financial objectives and risk appetite. This approach can help create a more stable and sustainable financial market.

This study provides new evidence on the relationship between gambling preferences and future stock returns in financial markets and sheds new light on the important role of irrational factors in investment decisions.

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Investor gambling preferences and stock returns: evidence from the Shanghai A-share markets10.1108/K-05-2023-0802Kybernetes2023-07-18© 2023 Emerald Publishing LimitedLarry SuKybernetesahead-of-printahead-of-print2023-07-1810.1108/K-05-2023-0802https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0802/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Smart cities and urban dimensions to ensure sustainable development: a bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0822/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe multidimensional complexity of urban settlements is increasing and the problem of spaces and territories brought to the scale of smart cities is a critical global issue. This study aims to analyse the scientific production in the Web of Science (WoS) on the relationship between smart cities and the eight urban dimensions defined by the World Economic Forum (WEF) in the period 1990 to 2021, in order to establish which countries lead the knowledge related to the search for sustainable living conditions for people and how this knowledge contributes to improving stakeholders' decision-making. The methodological steps followed in the study were: (1) Identification and selection of keywords. (2) Design and application of an algorithm to identify these selected keywords in titles, abstracts and keywords using WoS terms to contrast them. (3) Data processing was performed from Journal Citation Report (JCR) journals during the year 2022. This study identified the authors, institutions and countries that publish the most globally on the topic of Smart Cities. The acceleration in the integration of new technologies and their impact on population conglomerates and their relationship with urban dimensions were also analysed. The evidence found indicates that the USA and China are leading in this field. This bibliometric study was designed to analyse a knowledge space not addressed in the scientific literature referred to the relationship between the concept of smart cities and the urban dimensions established by the WEF, the identification of new technologies that are converging to promote developments of new ways of managing urban dimensions and propose new knowledge spaces.Smart cities and urban dimensions to ensure sustainable development: a bibliometric analysis
Iván Manuel De la Vega Hernández, Juan Jesús Diaz Amorin
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The multidimensional complexity of urban settlements is increasing and the problem of spaces and territories brought to the scale of smart cities is a critical global issue. This study aims to analyse the scientific production in the Web of Science (WoS) on the relationship between smart cities and the eight urban dimensions defined by the World Economic Forum (WEF) in the period 1990 to 2021, in order to establish which countries lead the knowledge related to the search for sustainable living conditions for people and how this knowledge contributes to improving stakeholders' decision-making.

The methodological steps followed in the study were: (1) Identification and selection of keywords. (2) Design and application of an algorithm to identify these selected keywords in titles, abstracts and keywords using WoS terms to contrast them. (3) Data processing was performed from Journal Citation Report (JCR) journals during the year 2022.

This study identified the authors, institutions and countries that publish the most globally on the topic of Smart Cities. The acceleration in the integration of new technologies and their impact on population conglomerates and their relationship with urban dimensions were also analysed. The evidence found indicates that the USA and China are leading in this field.

This bibliometric study was designed to analyse a knowledge space not addressed in the scientific literature referred to the relationship between the concept of smart cities and the urban dimensions established by the WEF, the identification of new technologies that are converging to promote developments of new ways of managing urban dimensions and propose new knowledge spaces.

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Smart cities and urban dimensions to ensure sustainable development: a bibliometric analysis10.1108/K-05-2023-0822Kybernetes2023-08-24© 2023 Emerald Publishing LimitedIván Manuel De la Vega HernándezJuan Jesús Diaz AmorinKybernetesahead-of-printahead-of-print2023-08-2410.1108/K-05-2023-0822https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0822/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A study on risk sharing of smart city PPP projects based on EW-G1 and TOPSIS-UT: a case study in Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0824/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestBuilding a smart city is a necessary path to achieve sustainable urban development. Smart city public–private partnership (PPP) project is a necessary measure to build a smart city. Since there are many participants in smart city PPP projects, there are problems such as uneven distribution of risks; therefore, in order to ensure the normal construction and operation of the project, the reasonable sharing of risks among the participants becomes an urgent problem to be solved. In order to make each participant clearly understand the risk sharing of smart city PPP projects, this paper aims to establish a scientific and practical risk sharing model. This paper uses the literature review method and the Delphi method to construct a risk index system for smart city PPP projects and then calculates the objective and subjective weights of each risk index through the Entropy Weight (EW) and G1 methods, respectively, and uses the combined assignment method to find the comprehensive weights. Considering the nature of the risk sharing problem, this paper constructs a risk sharing model for smart city PPP projects by initially sharing the risks of smart city PPP projects through Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the independently borne risks and the jointly borne risks and then determines the sharing ratio of the jointly borne risks based on utility theory. Finally, this paper verifies the applicability and feasibility of the risk-sharing model through empirical analysis, using the smart city of Suzhou Industrial Park as a research case. It is hoped that this study can provide a useful reference for the risk sharing of PPP projects in smart cities. In this paper, the authors calculate the portfolio assignment by EW-G1 and construct a risk-sharing model by TOPSIS-Utility Theory (UT), which is applied for the first time in the study of risk sharing in smart cities.A study on risk sharing of smart city PPP projects based on EW-G1 and TOPSIS-UT: a case study in China
Hui Zhao, Xian Cheng, Jing Gao, Guikun Yu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Building a smart city is a necessary path to achieve sustainable urban development. Smart city public–private partnership (PPP) project is a necessary measure to build a smart city. Since there are many participants in smart city PPP projects, there are problems such as uneven distribution of risks; therefore, in order to ensure the normal construction and operation of the project, the reasonable sharing of risks among the participants becomes an urgent problem to be solved. In order to make each participant clearly understand the risk sharing of smart city PPP projects, this paper aims to establish a scientific and practical risk sharing model.

This paper uses the literature review method and the Delphi method to construct a risk index system for smart city PPP projects and then calculates the objective and subjective weights of each risk index through the Entropy Weight (EW) and G1 methods, respectively, and uses the combined assignment method to find the comprehensive weights. Considering the nature of the risk sharing problem, this paper constructs a risk sharing model for smart city PPP projects by initially sharing the risks of smart city PPP projects through Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the independently borne risks and the jointly borne risks and then determines the sharing ratio of the jointly borne risks based on utility theory.

Finally, this paper verifies the applicability and feasibility of the risk-sharing model through empirical analysis, using the smart city of Suzhou Industrial Park as a research case. It is hoped that this study can provide a useful reference for the risk sharing of PPP projects in smart cities.

In this paper, the authors calculate the portfolio assignment by EW-G1 and construct a risk-sharing model by TOPSIS-Utility Theory (UT), which is applied for the first time in the study of risk sharing in smart cities.

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A study on risk sharing of smart city PPP projects based on EW-G1 and TOPSIS-UT: a case study in China10.1108/K-05-2023-0824Kybernetes2023-12-07© 2023 Emerald Publishing LimitedHui ZhaoXian ChengJing GaoGuikun YuKybernetesahead-of-printahead-of-print2023-12-0710.1108/K-05-2023-0824https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0824/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How to promote open innovation in restricted situations? Digital transformation perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0825/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the context of innovation-driven development strategy, open innovation has become an important way for enterprises to gain competitive advantages on the path of innovation and development. However, with the increasing competition, enterprises' open innovation is restricted by some constraints. How to promote open innovation in the restricted situations has become an existing research gap. Based on the perspective of digital transformation, this paper discusses how to promote the open innovation of enterprises under the restricted situations and find its breakthrough path, and analyzes the moderating effect of innovation persistence and political relevance. Due to the complexity and confidentiality of military–civilian integration enterprises, they have become typical innovation-restricted enterprises. In this study, it selects a-share listed companies in the field of military–civilian integration in China in 2016–2020 as the research sample, and uses the two-way fixed-effect model to analyze the proposed variables. Finally, the robustness of the results in this paper is verified by a series of robustness tests and endogeneity tests. The results show that digital transformation facilitates open innovation in military–civil integration enterprises, and that innovation persistence and political relevance positively moderate the relationship between the two. Further, digital transformation can promote open innovation in military–civil integration enterprises by easing the financing constraints and reducing information asymmetry. Innovation persistence has a more pronounced positive moderating effect among civilian-to-military and SMEs, and digital transformation of firms in the South has a negative effect on open innovation, but innovation persistence and political relevance dampen this negative effect. Previous studies on the restrictions of open innovation or its dark side are mostly case studies and qualitative research. In contrast, the superiority and novelty of this study is in the form of a typical innovation-restricted enterprises “civil-military integration enterprise” as the research sample, based on the perspective of digital transformation, through empirical analysis method to explore how to better implementation of open innovation in the restricted situations. The findings of the study can not only enrich the application of digital transformation and open innovation theory, but also provide practical guidance for military–civil integration innovation in restricted situations.How to promote open innovation in restricted situations? Digital transformation perspective
Hao Jing, Guimin Qu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the context of innovation-driven development strategy, open innovation has become an important way for enterprises to gain competitive advantages on the path of innovation and development. However, with the increasing competition, enterprises' open innovation is restricted by some constraints. How to promote open innovation in the restricted situations has become an existing research gap. Based on the perspective of digital transformation, this paper discusses how to promote the open innovation of enterprises under the restricted situations and find its breakthrough path, and analyzes the moderating effect of innovation persistence and political relevance.

Due to the complexity and confidentiality of military–civilian integration enterprises, they have become typical innovation-restricted enterprises. In this study, it selects a-share listed companies in the field of military–civilian integration in China in 2016–2020 as the research sample, and uses the two-way fixed-effect model to analyze the proposed variables. Finally, the robustness of the results in this paper is verified by a series of robustness tests and endogeneity tests.

The results show that digital transformation facilitates open innovation in military–civil integration enterprises, and that innovation persistence and political relevance positively moderate the relationship between the two. Further, digital transformation can promote open innovation in military–civil integration enterprises by easing the financing constraints and reducing information asymmetry. Innovation persistence has a more pronounced positive moderating effect among civilian-to-military and SMEs, and digital transformation of firms in the South has a negative effect on open innovation, but innovation persistence and political relevance dampen this negative effect.

Previous studies on the restrictions of open innovation or its dark side are mostly case studies and qualitative research. In contrast, the superiority and novelty of this study is in the form of a typical innovation-restricted enterprises “civil-military integration enterprise” as the research sample, based on the perspective of digital transformation, through empirical analysis method to explore how to better implementation of open innovation in the restricted situations. The findings of the study can not only enrich the application of digital transformation and open innovation theory, but also provide practical guidance for military–civil integration innovation in restricted situations.

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How to promote open innovation in restricted situations? Digital transformation perspective10.1108/K-05-2023-0825Kybernetes2023-07-27© 2023 Emerald Publishing LimitedHao JingGuimin QuKybernetesahead-of-printahead-of-print2023-07-2710.1108/K-05-2023-0825https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0825/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The heterogeneous impacts of climate finance on environmental sustainability and social welfare in developing countrieshttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0839/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDue to their limited capacity for adaptation and dependence on natural resources for economic growth, developing countries (DCs) tend to be more prone to climate change. It is argued that climate finance (CF) is a significant financial innovation to mitigate the negative effects of climate variation. However, the heterogeneous impacts of CF on environmental sustainability (ES) and social welfare (SW) have been masked. Thus, this study aims to investigate the heterogeneous effects of CF on ES and SW in 80 CF receipt DCs from 2002 to 2018. This study also aims to investigate the effects of CF on ES and SW based on population size, income heterogeneity and the type of CF. The method of moments quantile regression (MMQR) with fixed effects is utilized. Alternatively, the fully modified least square (FMOLS) and dynamic least square (DOLS) estimators are used for the robustness test. The findings revealed that DCs with the lowest and middle quantiles of EF, carbon dioxide (CO2) emissions and human development exhibit large beneficial impacts of CF on ES and SW. In contrast, the positive effects of CF on ES breakdown for countries with the largest distributions of EF and CO2 emissions. Besides, the impacts of CF on ES and SW depend on income heterogeneity, population size and the type of CF. This study calls for a framework to integrate CF into all economic development decisions to strengthen climate-resilient SW and ES in DCs. To the best of the authors’ knowledge, this is the first study to investigate the effects of CF on ES and SW in a wide range of DCs. Thus, it complements existing related literature focusing on the effects of CF on ES and SW.The heterogeneous impacts of climate finance on environmental sustainability and social welfare in developing countries
Xueting Gong, Dinkneh Gebre Borojo, Jiang Yushi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Due to their limited capacity for adaptation and dependence on natural resources for economic growth, developing countries (DCs) tend to be more prone to climate change. It is argued that climate finance (CF) is a significant financial innovation to mitigate the negative effects of climate variation. However, the heterogeneous impacts of CF on environmental sustainability (ES) and social welfare (SW) have been masked. Thus, this study aims to investigate the heterogeneous effects of CF on ES and SW in 80 CF receipt DCs from 2002 to 2018. This study also aims to investigate the effects of CF on ES and SW based on population size, income heterogeneity and the type of CF.

The method of moments quantile regression (MMQR) with fixed effects is utilized. Alternatively, the fully modified least square (FMOLS) and dynamic least square (DOLS) estimators are used for the robustness test.

The findings revealed that DCs with the lowest and middle quantiles of EF, carbon dioxide (CO2) emissions and human development exhibit large beneficial impacts of CF on ES and SW. In contrast, the positive effects of CF on ES breakdown for countries with the largest distributions of EF and CO2 emissions. Besides, the impacts of CF on ES and SW depend on income heterogeneity, population size and the type of CF.

This study calls for a framework to integrate CF into all economic development decisions to strengthen climate-resilient SW and ES in DCs.

To the best of the authors’ knowledge, this is the first study to investigate the effects of CF on ES and SW in a wide range of DCs. Thus, it complements existing related literature focusing on the effects of CF on ES and SW.

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The heterogeneous impacts of climate finance on environmental sustainability and social welfare in developing countries10.1108/K-05-2023-0839Kybernetes2023-12-26© 2023 Emerald Publishing LimitedXueting GongDinkneh Gebre BorojoJiang YushiKybernetesahead-of-printahead-of-print2023-12-2610.1108/K-05-2023-0839https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0839/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How does leaders’ narcissistic rivalry impact employees’ service outcomes in the hospitality industry? A conservation of resources perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0841/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study examines how leaders’ narcissistic rivalry (LNR) affects the in-role performance (IRP) and proactive customer service performance (PCSP) of employees in the hospitality industry. Specifically, this study investigates the mediating role of psychological distress and the moderating role of locus of control (LOC) in the aforementioned relationships. This study administered a multi-wave, multi-source questionnaire survey with 323 employees working in 11 full-service hotels in China. Statistical analyses were performed using the PROCESS macro in SPSS 26 software and structural equation modeling using Mplus 8.3 software. The authors' results suggest that LNR can negatively affect hospitality employees’ IRP and PCSP and that these relationships are mediated by psychological distress. Additionally, the impact of LNR on psychological distress can be lessened by internal LOC. This study contributes to the literature on leader narcissism by investigating how LNR affects IRP and PCSP among hospitality employees. Drawing on conservation of resources theory, this study also identifies a novel mediating mechanism (psychological distress) connecting LNR to hospitality employees’ service outcomes. Furthermore, this study reveals the moderating role of LOC in the relationship between LNR and psychological distress.How does leaders’ narcissistic rivalry impact employees’ service outcomes in the hospitality industry? A conservation of resources perspective
Kunlin Li, Xin Sun, Jin Cheng
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study examines how leaders’ narcissistic rivalry (LNR) affects the in-role performance (IRP) and proactive customer service performance (PCSP) of employees in the hospitality industry. Specifically, this study investigates the mediating role of psychological distress and the moderating role of locus of control (LOC) in the aforementioned relationships.

This study administered a multi-wave, multi-source questionnaire survey with 323 employees working in 11 full-service hotels in China. Statistical analyses were performed using the PROCESS macro in SPSS 26 software and structural equation modeling using Mplus 8.3 software.

The authors' results suggest that LNR can negatively affect hospitality employees’ IRP and PCSP and that these relationships are mediated by psychological distress. Additionally, the impact of LNR on psychological distress can be lessened by internal LOC.

This study contributes to the literature on leader narcissism by investigating how LNR affects IRP and PCSP among hospitality employees. Drawing on conservation of resources theory, this study also identifies a novel mediating mechanism (psychological distress) connecting LNR to hospitality employees’ service outcomes. Furthermore, this study reveals the moderating role of LOC in the relationship between LNR and psychological distress.

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How does leaders’ narcissistic rivalry impact employees’ service outcomes in the hospitality industry? A conservation of resources perspective10.1108/K-05-2023-0841Kybernetes2024-01-02© 2023 Emerald Publishing LimitedKunlin LiXin SunJin ChengKybernetesahead-of-printahead-of-print2024-01-0210.1108/K-05-2023-0841https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0841/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Research on the weak demand signal identification model of innovative product based on domain ontology constructionhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0850/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper investigates the semantic association mechanisms of weak demand signals that facilitate innovative product development in terms of conceptual and temporal precedence, despite their inherent ambiguity and uncertainty. To address this challenge, a domain ontology approach is proposed to construct a customer demand scenario-based framework that eliminates the blind spots in weak demand signal identification. The framework provides a basis for identifying such signals and introduces evaluation indices, such as depth, novelty and association, which are integrated to propose a three-dimensional weak signal recognition model based on domain ontology that outperforms existing research. Empirical analysis is carried out based on customer comments of new energy vehicles on car platform such as “Auto Home” and “Bitauto”. Results demonstrate that in terms of recognition quantity, the three-dimensional weak demand signal recognition model, based on domain ontology, can accurately identify six demand weak signals. Conversely, the keyword analysis method exhibits a recognition quantity of four weak signals; in terms of recognition quality, the three-dimensional weak demand signal recognition model based on domain ontology can exclude non-demand signals such as “charging technology”, while keyword analysis methods cannot. Overall, the model proposed in this paper has higher sensitivity. This paper proposes a novel method for identifying weak demand signals that considers the frequency of the signal's novelty, depth and relevance to the target demand. To verify its effectiveness, customer review data for new energy vehicles is used. The results provide a theoretical reference for formulating government policies and identifying weak demand signals for businesses.Research on the weak demand signal identification model of innovative product based on domain ontology construction
Dongyuan Zhao, Zhongjun Tang, Fengxia Sun
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper investigates the semantic association mechanisms of weak demand signals that facilitate innovative product development in terms of conceptual and temporal precedence, despite their inherent ambiguity and uncertainty.

To address this challenge, a domain ontology approach is proposed to construct a customer demand scenario-based framework that eliminates the blind spots in weak demand signal identification. The framework provides a basis for identifying such signals and introduces evaluation indices, such as depth, novelty and association, which are integrated to propose a three-dimensional weak signal recognition model based on domain ontology that outperforms existing research.

Empirical analysis is carried out based on customer comments of new energy vehicles on car platform such as “Auto Home” and “Bitauto”. Results demonstrate that in terms of recognition quantity, the three-dimensional weak demand signal recognition model, based on domain ontology, can accurately identify six demand weak signals. Conversely, the keyword analysis method exhibits a recognition quantity of four weak signals; in terms of recognition quality, the three-dimensional weak demand signal recognition model based on domain ontology can exclude non-demand signals such as “charging technology”, while keyword analysis methods cannot. Overall, the model proposed in this paper has higher sensitivity.

This paper proposes a novel method for identifying weak demand signals that considers the frequency of the signal's novelty, depth and relevance to the target demand. To verify its effectiveness, customer review data for new energy vehicles is used. The results provide a theoretical reference for formulating government policies and identifying weak demand signals for businesses.

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Research on the weak demand signal identification model of innovative product based on domain ontology construction10.1108/K-05-2023-0850Kybernetes2023-09-18© 2023 Emerald Publishing LimitedDongyuan ZhaoZhongjun TangFengxia SunKybernetesahead-of-printahead-of-print2023-09-1810.1108/K-05-2023-0850https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0850/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Measuring academic performance among students during post-COVID-19 reopening through academic engagement and persistence: mediating role of psychological capitalhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0857/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study examined the students' academic performance through psychological capital, academic engagement and academic persistence. It also investigated the function of psychological capital in mediating the relationship between academic engagement, persistence and performance. The study utilized a quantitative method and structural equation modeling using PLS-SEM version 3. A total of 900 questionnaires were issued to Chinese university students, and 814 data were analyzed. Findings suggest that academic engagement and persistence significantly and positively impact psychological capital. Psychological capital is also mediated between academic engagement, persistence and performance. Additionally, the study made several recommendations for upcoming researchers and industry professionals. Analyzing the pupils' academic achievement after COVID-19 reopening as it indicates their attention and engagement in the study. Although previous studies explored students' academic performance regarding the post-COVID effect, the role of psychological capital and engagement in academia in the study has been studied in a post-COVID context.Measuring academic performance among students during post-COVID-19 reopening through academic engagement and persistence: mediating role of psychological capital
Liu Wanmei
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study examined the students' academic performance through psychological capital, academic engagement and academic persistence. It also investigated the function of psychological capital in mediating the relationship between academic engagement, persistence and performance.

The study utilized a quantitative method and structural equation modeling using PLS-SEM version 3. A total of 900 questionnaires were issued to Chinese university students, and 814 data were analyzed.

Findings suggest that academic engagement and persistence significantly and positively impact psychological capital. Psychological capital is also mediated between academic engagement, persistence and performance. Additionally, the study made several recommendations for upcoming researchers and industry professionals.

Analyzing the pupils' academic achievement after COVID-19 reopening as it indicates their attention and engagement in the study. Although previous studies explored students' academic performance regarding the post-COVID effect, the role of psychological capital and engagement in academia in the study has been studied in a post-COVID context.

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Measuring academic performance among students during post-COVID-19 reopening through academic engagement and persistence: mediating role of psychological capital10.1108/K-05-2023-0857Kybernetes2023-12-12© 2023 Emerald Publishing LimitedLiu WanmeiKybernetesahead-of-printahead-of-print2023-12-1210.1108/K-05-2023-0857https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0857/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Life as a relational unit, the process of ecopoiesishttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0859/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to introduce the concept of Ecopoiesis. Introduction of the concept of ecopiesis, which explains the linkage strategy between relational and energetic resources (sustainability) that enable the relational viability of living things. The design is based on the use of the relationship between abduction, epigenesis, cismogenesis and morphogenesis. This paper concludes with a counter-intuitive proposal to the dominant lines of thought, distinguishing: Complexity as vital interweaving, Aristotelian Oikos as communitarian distinction, Organism-Entorno from relational theory (beyond the interactional), in a cybernetic referential framework that allows tending to sustain and sustain life from Ecopoiesis. According to a relational theory of cognition, the sources of knowledge go beyond genetic and environmental factors. In the sphere of explanation, this study moves from “how much,” “why” and “how” to “why not.” Thus, the processes involved in understanding the living are forced to move from the logic of parts to the logic of patterns, which implies developing an explanation that considers the unique characteristics of development, encompassing the diverse origins of the organization of the living.Life as a relational unit, the process of ecopoiesis
Leonardo Lavanderos, Alejandro Malpartida
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to introduce the concept of Ecopoiesis. Introduction of the concept of ecopiesis, which explains the linkage strategy between relational and energetic resources (sustainability) that enable the relational viability of living things.

The design is based on the use of the relationship between abduction, epigenesis, cismogenesis and morphogenesis.

This paper concludes with a counter-intuitive proposal to the dominant lines of thought, distinguishing: Complexity as vital interweaving, Aristotelian Oikos as communitarian distinction, Organism-Entorno from relational theory (beyond the interactional), in a cybernetic referential framework that allows tending to sustain and sustain life from Ecopoiesis.

According to a relational theory of cognition, the sources of knowledge go beyond genetic and environmental factors. In the sphere of explanation, this study moves from “how much,” “why” and “how” to “why not.” Thus, the processes involved in understanding the living are forced to move from the logic of parts to the logic of patterns, which implies developing an explanation that considers the unique characteristics of development, encompassing the diverse origins of the organization of the living.

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Life as a relational unit, the process of ecopoiesis10.1108/K-05-2023-0859Kybernetes2023-09-29© 2023 Emerald Publishing LimitedLeonardo LavanderosAlejandro MalpartidaKybernetesahead-of-printahead-of-print2023-09-2910.1108/K-05-2023-0859https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0859/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Financial accessibility and crime – Empirical study based on panel data from Chinese citieshttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0868/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper empirically investigates the relationship between financial availability and crime by measuring it across five dimensions: banking, securities, insurance, private lending and digital inclusive finance. The study utilizes 2011–2017 data from prefecture-level cities as a representative sample. Moreover, these findings remain robust after addressing endogeneity through the use of the historical distance between cities and the railroad network as an instrumental variable. The findings demonstrate a significant negative relationship between financial accessibility and crime rates. Heterogeneity exists in the inhibitory effect of different types of financial accessibility on crime, with banking finance exhibiting a stronger inhibitory effect compared to private lending. Areas affected by natural disasters and infectious diseases exhibit a stronger inhibitory effect of financial accessibility on crime rates, particularly in areas with severe shocks of natural disasters and epidemics. This effect is attributed to the low financing threshold and easy access to private lending, which plays a more effective role than bank finance when people face extreme risks. There should be stricter regulations imposed on private lending markets and the introduction of more rational legislation aimed at guiding a healthy development within these markets; such measures serve as effective and complementary means for individuals from all walks of life to access credit financing. The regulation of financial resources by the government should always prioritize ensuring the accessibility of financial policies to cater to the needs of the majority population. This study is for the first time in an emerging economy context, the causal relationship between financial accessibility and crime. To provide a more comprehensive measure of financial accessibility in a region, this paper proposes a five-dimensional methodology.Financial accessibility and crime – Empirical study based on panel data from Chinese cities
Zifeng Wang, Dezhu Ye, Tao Liang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper empirically investigates the relationship between financial availability and crime by measuring it across five dimensions: banking, securities, insurance, private lending and digital inclusive finance.

The study utilizes 2011–2017 data from prefecture-level cities as a representative sample. Moreover, these findings remain robust after addressing endogeneity through the use of the historical distance between cities and the railroad network as an instrumental variable.

The findings demonstrate a significant negative relationship between financial accessibility and crime rates. Heterogeneity exists in the inhibitory effect of different types of financial accessibility on crime, with banking finance exhibiting a stronger inhibitory effect compared to private lending. Areas affected by natural disasters and infectious diseases exhibit a stronger inhibitory effect of financial accessibility on crime rates, particularly in areas with severe shocks of natural disasters and epidemics. This effect is attributed to the low financing threshold and easy access to private lending, which plays a more effective role than bank finance when people face extreme risks.

There should be stricter regulations imposed on private lending markets and the introduction of more rational legislation aimed at guiding a healthy development within these markets; such measures serve as effective and complementary means for individuals from all walks of life to access credit financing.

The regulation of financial resources by the government should always prioritize ensuring the accessibility of financial policies to cater to the needs of the majority population.

This study is for the first time in an emerging economy context, the causal relationship between financial accessibility and crime. To provide a more comprehensive measure of financial accessibility in a region, this paper proposes a five-dimensional methodology.

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Financial accessibility and crime – Empirical study based on panel data from Chinese cities10.1108/K-05-2023-0868Kybernetes2023-12-20© 2023 Emerald Publishing LimitedZifeng WangDezhu YeTao LiangKybernetesahead-of-printahead-of-print2023-12-2010.1108/K-05-2023-0868https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0868/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Optimal financing modes of a capital-constrained manufacturer under different sales strategieshttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0875/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestPrevious studies have rarely integrated the financing modes of a capital-constrained manufacturer with the choices of online sales strategies. To address this gap, the authors study how a manufacturer selects optimal financing modes under different sales strategies in three dual-channel supply chains. This paper considers three sales strategies, namely, combining a traditional retailer channel with one of the direct selling, reselling and agency selling channels, and two common financing modes, namely, bank financing and retailer financing. The authors obtain equilibrium outcomes of the manufacturer and traditional retailer and then provide the conditions for them to select optimal financing modes under three sales strategies. The results indicate that the manufacturer’s financing decisions rely on the initial capital and interest rates, and the manufacturer selects retailer financing only if the initial capital is relatively larger. In terms of financing mode options, the retailer financing mode is more beneficial for the manufacturer under the three sales strategies. From the perspective of sales strategies, the direct selling model is more beneficial. In addition, the higher the consumer acceptance of the online channel, the more profits the manufacturer obtains. This paper provides suggestions on how the capital-constrained manufacturer chooses financing modes and sales strategies. This paper integrates the financing mode and different sales strategies to investigate the manufacturer’s optimal operational decisions. These sales strategies allow us to investigate the manufacturer’s optimal financing modes in the presence of both different financing modes and sales strategies.Optimal financing modes of a capital-constrained manufacturer under different sales strategies
Peng Ma, Qin Yuan, Henry Xu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Previous studies have rarely integrated the financing modes of a capital-constrained manufacturer with the choices of online sales strategies. To address this gap, the authors study how a manufacturer selects optimal financing modes under different sales strategies in three dual-channel supply chains.

This paper considers three sales strategies, namely, combining a traditional retailer channel with one of the direct selling, reselling and agency selling channels, and two common financing modes, namely, bank financing and retailer financing. The authors obtain equilibrium outcomes of the manufacturer and traditional retailer and then provide the conditions for them to select optimal financing modes under three sales strategies.

The results indicate that the manufacturer’s financing decisions rely on the initial capital and interest rates, and the manufacturer selects retailer financing only if the initial capital is relatively larger. In terms of financing mode options, the retailer financing mode is more beneficial for the manufacturer under the three sales strategies. From the perspective of sales strategies, the direct selling model is more beneficial. In addition, the higher the consumer acceptance of the online channel, the more profits the manufacturer obtains.

This paper provides suggestions on how the capital-constrained manufacturer chooses financing modes and sales strategies.

This paper integrates the financing mode and different sales strategies to investigate the manufacturer’s optimal operational decisions. These sales strategies allow us to investigate the manufacturer’s optimal financing modes in the presence of both different financing modes and sales strategies.

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Optimal financing modes of a capital-constrained manufacturer under different sales strategies10.1108/K-05-2023-0875Kybernetes2023-12-25© 2023 Emerald Publishing LimitedPeng MaQin YuanHenry XuKybernetesahead-of-printahead-of-print2023-12-2510.1108/K-05-2023-0875https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0875/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Nurturing green creativity in women intrapreneurs through green HRM: testing moderated mediation model - a step toward Saudi Vision 2030https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0879/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn 2016, Kingdom of Saudi Arabia (KSA) initiated Saudi Vision 2030, an ambitious plan to lessen the country's dependency on fossil fuels and increase economic diversification. The Vision 2030 framework strives to establish a thriving economy, a vibrant society and an ambitious nation. This study aims to investigate the role of green service innovation (SI) and green work engagement (WE) in mediating the nexus between green human resource management (HRM) and green creativity (GC) under conditional role of spiritual leadership (SL). A survey was done of 300 female intrapreneurs working in the organization within Saudi Arabia. This study has collected data via stratified random sampling technique. The framework was tested using PLS-SEM software. The findings reveal that WE fully intervenes the nexus between green HRM and GC. Moreover, SL positively moderates the nexus between green HRM and SI. Thus, based on findings, it is recommended that female intrapreneurs prioritize environmentally responsible operations to gain and sustain competitive edge over rivals in Saudi competitive market.Nurturing green creativity in women intrapreneurs through green HRM: testing moderated mediation model - a step toward Saudi Vision 2030
Tahira Iram, Ahmad Raza Bilal, Tariq Saeed, Faiza Liaquat
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In 2016, Kingdom of Saudi Arabia (KSA) initiated Saudi Vision 2030, an ambitious plan to lessen the country's dependency on fossil fuels and increase economic diversification. The Vision 2030 framework strives to establish a thriving economy, a vibrant society and an ambitious nation. This study aims to investigate the role of green service innovation (SI) and green work engagement (WE) in mediating the nexus between green human resource management (HRM) and green creativity (GC) under conditional role of spiritual leadership (SL).

A survey was done of 300 female intrapreneurs working in the organization within Saudi Arabia. This study has collected data via stratified random sampling technique. The framework was tested using PLS-SEM software.

The findings reveal that WE fully intervenes the nexus between green HRM and GC. Moreover, SL positively moderates the nexus between green HRM and SI.

Thus, based on findings, it is recommended that female intrapreneurs prioritize environmentally responsible operations to gain and sustain competitive edge over rivals in Saudi competitive market.

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Nurturing green creativity in women intrapreneurs through green HRM: testing moderated mediation model - a step toward Saudi Vision 203010.1108/K-05-2023-0879Kybernetes2023-10-09© 2023 Emerald Publishing LimitedTahira IramAhmad Raza BilalTariq SaeedFaiza LiaquatKybernetesahead-of-printahead-of-print2023-10-0910.1108/K-05-2023-0879https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0879/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Linking coworker friendship with incivility: comparison between headwaiters and servers in family-style restaurantshttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0880/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUnderpinned by affective events theory (AET), this paper examines the effect of coworker friendship on coworker incivility in family-style restaurants. Furthermore, this paper seeks the mediation effect of positive workplace gossip. Using a time-lagged approach, 83 headwaiters and 326 servers at family-style restaurants located in Port Said and Ismailia responded, and their responses were analyzed using AMOS v. 24. Multigroup analysis findings proved that coworker friendship increased positive workplace gossip in favor of the server sample. At the same time, the latter decreased coworker incivility in favor of the headwaiter sample. Besides, positive workplace gossip partially mediated the coworker friendship–incivility association in favor of the server sample. Furthermore, incivility levels increase between married coworkers and their peers in favor of the server sample. From the AET lens, this paper offers valuable insights into affective and emotional reactions to closest coworkers' judgmental behavior in the restaurant industry.Linking coworker friendship with incivility: comparison between headwaiters and servers in family-style restaurants
Mukaram Ali Khan, Kareem M. Selem, Syed Sohaib Zubair, Muhammad Haroon Shoukat
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Underpinned by affective events theory (AET), this paper examines the effect of coworker friendship on coworker incivility in family-style restaurants. Furthermore, this paper seeks the mediation effect of positive workplace gossip.

Using a time-lagged approach, 83 headwaiters and 326 servers at family-style restaurants located in Port Said and Ismailia responded, and their responses were analyzed using AMOS v. 24.

Multigroup analysis findings proved that coworker friendship increased positive workplace gossip in favor of the server sample. At the same time, the latter decreased coworker incivility in favor of the headwaiter sample. Besides, positive workplace gossip partially mediated the coworker friendship–incivility association in favor of the server sample. Furthermore, incivility levels increase between married coworkers and their peers in favor of the server sample.

From the AET lens, this paper offers valuable insights into affective and emotional reactions to closest coworkers' judgmental behavior in the restaurant industry.

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Linking coworker friendship with incivility: comparison between headwaiters and servers in family-style restaurants10.1108/K-05-2023-0880Kybernetes2023-10-31© 2023 Emerald Publishing LimitedMukaram Ali KhanKareem M. SelemSyed Sohaib ZubairMuhammad Haroon ShoukatKybernetesahead-of-printahead-of-print2023-10-3110.1108/K-05-2023-0880https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0880/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How popular is a topic on social media? A multi-criteria decision-making framework based on user engagementhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0884/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSocial media is widely used to capture citizens' opinions and topics deemed important. The importance or interest social media users attribute to a topic is traditionally measured by tweet frequency. This approach is practical but overlooks other user engagement tools such as retweets, likes, quotes, and replies. As a result, it may lead to a misinterpretation of social media signals. This paper aims to propose a method that considers all user engagement indicators and ranks the topics based on the interest attributed by social media users. A multi-criteria decision-making framework was proposed, which calculates the relative importance of user engagement tools using objective (information entropy) and subjective (Bayesian Best-Worst Method) methods. The results of the two methods are aggregated with a combinative method. Then, topics are ranked based on their user engagement levels using Multi-Objective Optimization by Ratio Analysis. The proposed approach was used to determine citizens' priorities in transport policy, and the findings are compared with those obtained solely based on tweet frequency. The results revealed that the proposed multi-criteria decision-making framework generated more comprehensive and robust results. The proposed method provides a systematic way to interpret social media signals and guide institutions in making better policies, hence ensuring that the demands of users/society are properly addressed. This study presents a systematic method to prioritize user preferences in social media. It is the first in the literature to discuss the necessity of considering all user engagement indicators and proposes a reliable method that calculates their relative importance.How popular is a topic on social media? A multi-criteria decision-making framework based on user engagement
Samet Güner, Halil Ibrahim Cebeci, Emrah Aydemir
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Social media is widely used to capture citizens' opinions and topics deemed important. The importance or interest social media users attribute to a topic is traditionally measured by tweet frequency. This approach is practical but overlooks other user engagement tools such as retweets, likes, quotes, and replies. As a result, it may lead to a misinterpretation of social media signals. This paper aims to propose a method that considers all user engagement indicators and ranks the topics based on the interest attributed by social media users.

A multi-criteria decision-making framework was proposed, which calculates the relative importance of user engagement tools using objective (information entropy) and subjective (Bayesian Best-Worst Method) methods. The results of the two methods are aggregated with a combinative method. Then, topics are ranked based on their user engagement levels using Multi-Objective Optimization by Ratio Analysis.

The proposed approach was used to determine citizens' priorities in transport policy, and the findings are compared with those obtained solely based on tweet frequency. The results revealed that the proposed multi-criteria decision-making framework generated more comprehensive and robust results.

The proposed method provides a systematic way to interpret social media signals and guide institutions in making better policies, hence ensuring that the demands of users/society are properly addressed.

This study presents a systematic method to prioritize user preferences in social media. It is the first in the literature to discuss the necessity of considering all user engagement indicators and proposes a reliable method that calculates their relative importance.

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How popular is a topic on social media? A multi-criteria decision-making framework based on user engagement10.1108/K-05-2023-0884Kybernetes2023-10-16© 2023 Emerald Publishing LimitedSamet GünerHalil Ibrahim CebeciEmrah AydemirKybernetesahead-of-printahead-of-print2023-10-1610.1108/K-05-2023-0884https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0884/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A review on social segregation research: insights from bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0886/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUsing bibliometrics, this study aims to explore the intellectual structure of social segregation research, key contributors, thematic areas and hotspot topics. A bibliometric analysis was performed for more than 15,000 research papers listed in one of the famous, rich and widely used scientific databases: Web of Science (WoS). This review approach was used to identify social research hotspots on segregation, intellectual structure, borders and development trends. VOSviewer and Gephi software were employed for mapping and analysis. The study indicates a marked increase in segregation research, particularly from a spatial/urban perspective. The study reveals the interrelationship between segregation and many other social concepts, such as social equality, cohesion, integration and inclusion. In conclusion, addressing the ramifications resulting from the multiple forms of segregation will help in implementing social policies and evaluating their impact on achieving inclusive social development in general and the 2030 agenda of Sustainable Development Goals (SDGs) in specific. This study remains limited to the precision and thoroughness of the bibliographic data gained from WoS. This study is valuable for readers to gain rich insights into the state of research on social segregation. It also provides ideas for future research that prospective authors and interested research and academic institutions can investigate.A review on social segregation research: insights from bibliometric analysis
Nahed T. Zeini, Ahmed E. Okasha, Amal S. Soliman
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Using bibliometrics, this study aims to explore the intellectual structure of social segregation research, key contributors, thematic areas and hotspot topics.

A bibliometric analysis was performed for more than 15,000 research papers listed in one of the famous, rich and widely used scientific databases: Web of Science (WoS). This review approach was used to identify social research hotspots on segregation, intellectual structure, borders and development trends. VOSviewer and Gephi software were employed for mapping and analysis.

The study indicates a marked increase in segregation research, particularly from a spatial/urban perspective. The study reveals the interrelationship between segregation and many other social concepts, such as social equality, cohesion, integration and inclusion. In conclusion, addressing the ramifications resulting from the multiple forms of segregation will help in implementing social policies and evaluating their impact on achieving inclusive social development in general and the 2030 agenda of Sustainable Development Goals (SDGs) in specific.

This study remains limited to the precision and thoroughness of the bibliographic data gained from WoS.

This study is valuable for readers to gain rich insights into the state of research on social segregation. It also provides ideas for future research that prospective authors and interested research and academic institutions can investigate.

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A review on social segregation research: insights from bibliometric analysis10.1108/K-05-2023-0886Kybernetes2023-10-10© 2023 Emerald Publishing LimitedNahed T. ZeiniAhmed E. OkashaAmal S. SolimanKybernetesahead-of-printahead-of-print2023-10-1010.1108/K-05-2023-0886https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0886/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring the barriers to ESG adoption using modified TISM approachhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0888/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study explores the barriers to ESG adoption and develops a hierarchical relationship between identified barriers to determine the driving and dependence power. Through literature and unstructured interviews nine barriers affecting the adoption of ESG reporting were identified and examined using the modified Total Interpretive Structural Modelling (m-TISM) approach. Further, MICMAC analysis is used to analyse the driver-dependence power amongst the barriers. In this analysis, the variable lying at the lowest level of hierarchy are considered to be the critical factor and lack of clarity around regulatory and reporting standards is found to be very critical for ESG adoption. To address impediments to ESG adoption, the government should make ESG disclosure mandatory and clearly explain the rules, regulations and advantages associated with ESG implementation. The current study is very few among examining the barriers to ESG adoption and steppingstone towards the mandatory implementation of ESG disclosures in current scenario.Exploring the barriers to ESG adoption using modified TISM approach
Nakul Parameswar, Zuby Hasan, Charu Shri, Neha Saini
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study explores the barriers to ESG adoption and develops a hierarchical relationship between identified barriers to determine the driving and dependence power.

Through literature and unstructured interviews nine barriers affecting the adoption of ESG reporting were identified and examined using the modified Total Interpretive Structural Modelling (m-TISM) approach. Further, MICMAC analysis is used to analyse the driver-dependence power amongst the barriers.

In this analysis, the variable lying at the lowest level of hierarchy are considered to be the critical factor and lack of clarity around regulatory and reporting standards is found to be very critical for ESG adoption. To address impediments to ESG adoption, the government should make ESG disclosure mandatory and clearly explain the rules, regulations and advantages associated with ESG implementation.

The current study is very few among examining the barriers to ESG adoption and steppingstone towards the mandatory implementation of ESG disclosures in current scenario.

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Exploring the barriers to ESG adoption using modified TISM approach10.1108/K-05-2023-0888Kybernetes2023-09-19© 2023 Emerald Publishing LimitedNakul ParameswarZuby HasanCharu ShriNeha SainiKybernetesahead-of-printahead-of-print2023-09-1910.1108/K-05-2023-0888https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0888/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
What factor is essential in successful crowdfunding: a MULTIMOORA-EDAS approach to explore factors that influence the success of crowdfunding campaignshttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0893/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDue to the high rate of failure of most crowdfunding projects, knowing the most essential factor to obtain funding success on the crowdfunding platform is of great importance for fund seekers on the crowdfunding platform. The purpose of this study is to explore crowdfunding success factors to know the most essential success factor for stakeholders of the crowdfunding platform to make the best decision when seeking funds on the crowdfunding platform. This study identified and ranked crowdfunding success factors for stakeholders of crowdfunding platforms. Sixteen factors were identified and categorized under five broad headings. These were; project ideas, target capital, track records, geographical proximity and equity. To rank the identified crowdfunding success factors and subfactors, this study used the Multi-Objective Optimization Based on Ratio Analysis (MULTIMOORA) integrated with the Evaluation based on Distance from Average Solutions (EDAS). Target capital ranked first among the five categories—while duration involved in raising funds ranked first among the sixteen subfactors. An approach for analyzing how each success factor enhances a crowdfunding campaign was developed in this study. This study provides valuable insight to fund seekers on the crowdfunding platform on how funding success can be achieved by knowing which factor to consider essential when seeking funds on the crowdfunding platform. This is the first study to explore crowdfunding success factors using the MULTIMOORA-EDAS method. The use of this method will help fund seekers on the crowdfunding platform to know which crowdfunding success factor is essential, thereby aiding fund seekers to make the best decision when seeking funds on the crowdfunding platform. Also, this study is particularly helpful for business owners, platform operators and policymakers when deciding how to allocate resources, plan campaigns and implement regulations.What factor is essential in successful crowdfunding: a MULTIMOORA-EDAS approach to explore factors that influence the success of crowdfunding campaigns
Isaac Edem Djimesah, Hongjiang Zhao, Agnes Naa Dedei Okine, Elijah Duah, Kingsford Kissi Mireku, Kenneth Wilson Adjei Budu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Due to the high rate of failure of most crowdfunding projects, knowing the most essential factor to obtain funding success on the crowdfunding platform is of great importance for fund seekers on the crowdfunding platform. The purpose of this study is to explore crowdfunding success factors to know the most essential success factor for stakeholders of the crowdfunding platform to make the best decision when seeking funds on the crowdfunding platform. This study identified and ranked crowdfunding success factors for stakeholders of crowdfunding platforms. Sixteen factors were identified and categorized under five broad headings. These were; project ideas, target capital, track records, geographical proximity and equity.

To rank the identified crowdfunding success factors and subfactors, this study used the Multi-Objective Optimization Based on Ratio Analysis (MULTIMOORA) integrated with the Evaluation based on Distance from Average Solutions (EDAS).

Target capital ranked first among the five categories—while duration involved in raising funds ranked first among the sixteen subfactors. An approach for analyzing how each success factor enhances a crowdfunding campaign was developed in this study. This study provides valuable insight to fund seekers on the crowdfunding platform on how funding success can be achieved by knowing which factor to consider essential when seeking funds on the crowdfunding platform.

This is the first study to explore crowdfunding success factors using the MULTIMOORA-EDAS method. The use of this method will help fund seekers on the crowdfunding platform to know which crowdfunding success factor is essential, thereby aiding fund seekers to make the best decision when seeking funds on the crowdfunding platform. Also, this study is particularly helpful for business owners, platform operators and policymakers when deciding how to allocate resources, plan campaigns and implement regulations.

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What factor is essential in successful crowdfunding: a MULTIMOORA-EDAS approach to explore factors that influence the success of crowdfunding campaigns10.1108/K-05-2023-0893Kybernetes2023-11-09© 2023 Emerald Publishing LimitedIsaac Edem DjimesahHongjiang ZhaoAgnes Naa Dedei OkineElijah DuahKingsford Kissi MirekuKenneth Wilson Adjei BuduKybernetesahead-of-printahead-of-print2023-11-0910.1108/K-05-2023-0893https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0893/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Digital transformation: exploring cornerstones for construction industryhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0895/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDigital transformation (DT) innovation is a monumental contribution that has had a profound effect on several worldwide industries. The aim of this research is to evaluate the current and future trends in DT specifically focusing in construction industry. This study adopts a qualitative analysis approach grounded on descriptive and bibliometric analyses. In total, 283 papers from Scopus between January 2015 and April 2023 were retrieved in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) review methodology. This study examines the publishing trends, most productive nation, university, publications and authors. Keyword co-occurrence analysis and thematic evolution were analyzed through Vosviewer and Biblioshiny. The results illustrate a growing desire to use digital technologies in the construction industry, which shows the topic's power and expanding popularity. This research reveals various emerging themes based on technology usage in construction sector. Out of 14 themes, occupational health and safety, mass customization, virtual reality and artificial intelligence were identified as isolated themes. Further, this study elaborates the difficulties encountered by the construction industry while employing digital technologies and examines the interrelationships among various keywords in DT and reveals the paradoxes and hotspots. This research adds to the body of literature as it identifies the research areas and gaps in the existing DT domain in construction industry. The integration of technology in this sector has an intense positive future vision as various subareas have immense potential for technology application.Digital transformation: exploring cornerstones for construction industry
Suman Yadav, Anshika Prakash, Meenal Arora, Amit Mittal
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Digital transformation (DT) innovation is a monumental contribution that has had a profound effect on several worldwide industries. The aim of this research is to evaluate the current and future trends in DT specifically focusing in construction industry.

This study adopts a qualitative analysis approach grounded on descriptive and bibliometric analyses. In total, 283 papers from Scopus between January 2015 and April 2023 were retrieved in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) review methodology. This study examines the publishing trends, most productive nation, university, publications and authors. Keyword co-occurrence analysis and thematic evolution were analyzed through Vosviewer and Biblioshiny.

The results illustrate a growing desire to use digital technologies in the construction industry, which shows the topic's power and expanding popularity. This research reveals various emerging themes based on technology usage in construction sector. Out of 14 themes, occupational health and safety, mass customization, virtual reality and artificial intelligence were identified as isolated themes. Further, this study elaborates the difficulties encountered by the construction industry while employing digital technologies and examines the interrelationships among various keywords in DT and reveals the paradoxes and hotspots.

This research adds to the body of literature as it identifies the research areas and gaps in the existing DT domain in construction industry. The integration of technology in this sector has an intense positive future vision as various subareas have immense potential for technology application.

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Digital transformation: exploring cornerstones for construction industry10.1108/K-05-2023-0895Kybernetes2023-08-29© 2023 Emerald Publishing LimitedSuman YadavAnshika PrakashMeenal AroraAmit MittalKybernetesahead-of-printahead-of-print2023-08-2910.1108/K-05-2023-0895https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0895/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A heuristic-based benders decomposition for the hybrid relief distribution network minimizing deprivation cost of vulnerable areashttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0903/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study aims to optimize truck routes by minimizing social and economic costs. It introduces a strategy involving diverse drones and their potential for reusing at DNs based on flight range. In HTDRP-DC, trucks can select and transport various drones to LDs to reduce deprivation time. This study estimates the nonlinear deprivation cost function using a linear two-piece-wise function, leading to MILP formulations. A heuristic-based Benders Decomposition approach is implemented to address medium and large instances. Valid inequalities and a heuristic method enhance convergence boundaries, ensuring an efficient solution methodology. Research has yet to address critical factors in disaster logistics: minimizing the social and economic costs simultaneously and using drones in relief distribution; deprivation as a social cost measures the human suffering from a shortage of relief supplies. The proposed hybrid truck-drone routing problem minimizing deprivation cost (HTDRP-DC) involves distributing relief supplies to dispersed demand nodes with undamaged (LDs) or damaged (DNs) access roads, utilizing multiple trucks and diverse drones. A Benders Decomposition approach is enhanced by accelerating techniques. Incorporating deprivation and economic costs results in selecting optimal routes, effectively reducing the time required to assist affected areas. Additionally, employing various drone types and their reuse in damaged nodes reduces deprivation time and associated deprivation costs. The study employs valid inequalities and the heuristic method to solve the master problem, substantially reducing computational time and iterations compared to GAMS and classical Benders Decomposition Algorithm. The proposed heuristic-based Benders Decomposition approach is applied to a disaster in Tehran, demonstrating efficient solutions for the HTDRP-DC regarding computational time and convergence rate. Current research introduces an HTDRP-DC problem that addresses minimizing deprivation costs considering the vehicle’s arrival time as the deprivation time, offering a unique solution to optimize route selection in relief distribution. Furthermore, integrating heuristic methods and valid inequalities into the Benders Decomposition approach enhances its effectiveness in solving complex routing challenges in disaster scenarios.A heuristic-based benders decomposition for the hybrid relief distribution network minimizing deprivation cost of vulnerable areas
Sanaz Khalaj Rahimi, Donya Rahmani
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study aims to optimize truck routes by minimizing social and economic costs. It introduces a strategy involving diverse drones and their potential for reusing at DNs based on flight range. In HTDRP-DC, trucks can select and transport various drones to LDs to reduce deprivation time. This study estimates the nonlinear deprivation cost function using a linear two-piece-wise function, leading to MILP formulations. A heuristic-based Benders Decomposition approach is implemented to address medium and large instances. Valid inequalities and a heuristic method enhance convergence boundaries, ensuring an efficient solution methodology.

Research has yet to address critical factors in disaster logistics: minimizing the social and economic costs simultaneously and using drones in relief distribution; deprivation as a social cost measures the human suffering from a shortage of relief supplies. The proposed hybrid truck-drone routing problem minimizing deprivation cost (HTDRP-DC) involves distributing relief supplies to dispersed demand nodes with undamaged (LDs) or damaged (DNs) access roads, utilizing multiple trucks and diverse drones. A Benders Decomposition approach is enhanced by accelerating techniques.

Incorporating deprivation and economic costs results in selecting optimal routes, effectively reducing the time required to assist affected areas. Additionally, employing various drone types and their reuse in damaged nodes reduces deprivation time and associated deprivation costs. The study employs valid inequalities and the heuristic method to solve the master problem, substantially reducing computational time and iterations compared to GAMS and classical Benders Decomposition Algorithm. The proposed heuristic-based Benders Decomposition approach is applied to a disaster in Tehran, demonstrating efficient solutions for the HTDRP-DC regarding computational time and convergence rate.

Current research introduces an HTDRP-DC problem that addresses minimizing deprivation costs considering the vehicle’s arrival time as the deprivation time, offering a unique solution to optimize route selection in relief distribution. Furthermore, integrating heuristic methods and valid inequalities into the Benders Decomposition approach enhances its effectiveness in solving complex routing challenges in disaster scenarios.

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A heuristic-based benders decomposition for the hybrid relief distribution network minimizing deprivation cost of vulnerable areas10.1108/K-05-2023-0903Kybernetes2024-03-22© 2024 Emerald Publishing LimitedSanaz Khalaj RahimiDonya RahmaniKybernetesahead-of-printahead-of-print2024-03-2210.1108/K-05-2023-0903https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0903/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Insights into mobile learning continuance intention among school students and teachers via a hermeneutic phenomenological study during COVID-19https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0904/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to describe the m-learning experience of school students and teachers during the COVID-19 pandemic and explores the factors influencing the continuance intention of m-learning. Semistructured interviews of 24 students and 09 teachers of schools in national capital territory (NCT) Delhi, India were conducted over 03 months and transcribed verbatim. A hermeneutic phenomenological design was used to interpret the text and bring out the “lived experiences” of m-learning. The following 15 themes or factors influencing continuance intention emerged through the hermeneutic circle: (1) actual usage, (2) attitude, (3) context, (4) extrinsic motivation, (5) facilitating conditions, (6) intrinsic motivation, (7) perceived compatibility, (8) perceived content quality, (9) perceived mobile app quality, (10) perceived teaching quality, (11) perceived usefulness, (12) satisfaction, (13) self-efficacy, (14) self-management of learning and (15) social influence. The study offers insightful recommendations for school administrators, mobile device developers and app designers. In addition, suggestions for effectively using m-learning during disasters such as COVID-19 have been provided. Several future research directions, including a nuanced understanding of m-assessment and online discussions, are suggested to enhance the literature on m-learning continuance. The study enriches the literature on m-learning continuance. A qualitative approach has been used to identify relevant factors influencing m-learning continuance intention among secondary and higher secondary level (Grades 9 to 12) school students and teachers in India. In addition, a conceptual framework of the relationships among the factors has been proposed. Further, an analysis of the lived experiences of m-learning during the COVID-19 pandemic indicated several issues and challenges in using m-learning during disasters.Insights into mobile learning continuance intention among school students and teachers via a hermeneutic phenomenological study during COVID-19
Yashdeep Singh, P.K. Suri
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to describe the m-learning experience of school students and teachers during the COVID-19 pandemic and explores the factors influencing the continuance intention of m-learning.

Semistructured interviews of 24 students and 09 teachers of schools in national capital territory (NCT) Delhi, India were conducted over 03 months and transcribed verbatim. A hermeneutic phenomenological design was used to interpret the text and bring out the “lived experiences” of m-learning.

The following 15 themes or factors influencing continuance intention emerged through the hermeneutic circle: (1) actual usage, (2) attitude, (3) context, (4) extrinsic motivation, (5) facilitating conditions, (6) intrinsic motivation, (7) perceived compatibility, (8) perceived content quality, (9) perceived mobile app quality, (10) perceived teaching quality, (11) perceived usefulness, (12) satisfaction, (13) self-efficacy, (14) self-management of learning and (15) social influence.

The study offers insightful recommendations for school administrators, mobile device developers and app designers. In addition, suggestions for effectively using m-learning during disasters such as COVID-19 have been provided. Several future research directions, including a nuanced understanding of m-assessment and online discussions, are suggested to enhance the literature on m-learning continuance.

The study enriches the literature on m-learning continuance. A qualitative approach has been used to identify relevant factors influencing m-learning continuance intention among secondary and higher secondary level (Grades 9 to 12) school students and teachers in India. In addition, a conceptual framework of the relationships among the factors has been proposed. Further, an analysis of the lived experiences of m-learning during the COVID-19 pandemic indicated several issues and challenges in using m-learning during disasters.

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Insights into mobile learning continuance intention among school students and teachers via a hermeneutic phenomenological study during COVID-1910.1108/K-05-2023-0904Kybernetes2024-01-11© 2023 Emerald Publishing LimitedYashdeep SinghP.K. SuriKybernetesahead-of-printahead-of-print2024-01-1110.1108/K-05-2023-0904https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0904/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Impact of the second-hand market on durable goods remanufacturing decisions under patent protectionhttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0905/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper explores how the existence of a second-hand market can affect remanufacturing decisions for durable goods in the presence of patent protection. The authors construct a dynamic decision model between a durable goods original manufacturer and a durable goods remanufacturer considering the characteristics of the multi-cycle uses of new durable goods and remanufactured durable goods. The results show that (1) the second-hand market compresses the cost space of a durable goods original manufacturer and a remanufacturer; (2) when the second-hand market exists, the optimal pricing of new durable goods is reduced, the optimal pricing of remanufactured durable goods is increased and the patent cost of each unit of durable goods increases and (3) the presence of the second-hand market will increase the original manufacturer's and remanufacturer's profits. The research conclusion has certain reference value for the production strategy selection of each enterprise in the process of patented product remanufacturing and the government's fiscal policy formulation at each stage of the remanufacturing industry's development.Impact of the second-hand market on durable goods remanufacturing decisions under patent protection
Xiaogang Cao, Boning Xiao, Hui Wen, Mingzhe Fu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper explores how the existence of a second-hand market can affect remanufacturing decisions for durable goods in the presence of patent protection.

The authors construct a dynamic decision model between a durable goods original manufacturer and a durable goods remanufacturer considering the characteristics of the multi-cycle uses of new durable goods and remanufactured durable goods.

The results show that (1) the second-hand market compresses the cost space of a durable goods original manufacturer and a remanufacturer; (2) when the second-hand market exists, the optimal pricing of new durable goods is reduced, the optimal pricing of remanufactured durable goods is increased and the patent cost of each unit of durable goods increases and (3) the presence of the second-hand market will increase the original manufacturer's and remanufacturer's profits.

The research conclusion has certain reference value for the production strategy selection of each enterprise in the process of patented product remanufacturing and the government's fiscal policy formulation at each stage of the remanufacturing industry's development.

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Impact of the second-hand market on durable goods remanufacturing decisions under patent protection10.1108/K-05-2023-0905Kybernetes2023-10-23© 2023 Emerald Publishing LimitedXiaogang CaoBoning XiaoHui WenMingzhe FuKybernetesahead-of-printahead-of-print2023-10-2310.1108/K-05-2023-0905https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0905/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Driving sustainable growth: exploring the link between financial innovation, green finance and sustainability performance: banking evidencehttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0918/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research paper aims to explore the link between financial innovation (FINV), green finance (GRF) and sustainability performance (SUSP) with the overarching objective of driving sustainable growth. The purpose is to understand how the integration of FINV and GRF can contribute to improved SUSP for businesses and organizations. The study adopts a survey-based approach, synthesizing existing scholarly works, empirical studies and industry reports. It examines the theoretical foundations and empirical evidence to understand the relationship between FINV, GRF and SUSP. The findings highlight a positive relationship between GRF and SUSP. GRF acts as a catalyst for FINV by providing the necessary financial resources and incentives for organizations to invest in sustainable technologies and practices. It enables businesses to enhance their SUSP by adopting environmentally friendly processes, reducing carbon emissions and promoting resource efficiency. The integration of FINV and GRF fosters sustainable growth by aligning economic, environmental and social objectives. This research paper contributes to the existing literature by offering a comprehensive examination of the link between FINV, GRF and SUSP. It consolidates and synthesizes previous studies, providing a holistic view of the topic. The paper also presents practical implications for businesses and policymakers, emphasizing the need for strategic integration of GRF and FINV to drive sustainable growth. The identification of future research directions adds originality to the study, guiding scholars and practitioners toward areas of further investigation.Driving sustainable growth: exploring the link between financial innovation, green finance and sustainability performance: banking evidence
Shahid Hussain, Abdul Rasheed, Saad ur Rehman
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research paper aims to explore the link between financial innovation (FINV), green finance (GRF) and sustainability performance (SUSP) with the overarching objective of driving sustainable growth. The purpose is to understand how the integration of FINV and GRF can contribute to improved SUSP for businesses and organizations.

The study adopts a survey-based approach, synthesizing existing scholarly works, empirical studies and industry reports. It examines the theoretical foundations and empirical evidence to understand the relationship between FINV, GRF and SUSP.

The findings highlight a positive relationship between GRF and SUSP. GRF acts as a catalyst for FINV by providing the necessary financial resources and incentives for organizations to invest in sustainable technologies and practices. It enables businesses to enhance their SUSP by adopting environmentally friendly processes, reducing carbon emissions and promoting resource efficiency. The integration of FINV and GRF fosters sustainable growth by aligning economic, environmental and social objectives.

This research paper contributes to the existing literature by offering a comprehensive examination of the link between FINV, GRF and SUSP. It consolidates and synthesizes previous studies, providing a holistic view of the topic. The paper also presents practical implications for businesses and policymakers, emphasizing the need for strategic integration of GRF and FINV to drive sustainable growth. The identification of future research directions adds originality to the study, guiding scholars and practitioners toward areas of further investigation.

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Driving sustainable growth: exploring the link between financial innovation, green finance and sustainability performance: banking evidence10.1108/K-05-2023-0918Kybernetes2023-07-21© 2023 Emerald Publishing LimitedShahid HussainAbdul RasheedSaad ur RehmanKybernetesahead-of-printahead-of-print2023-07-2110.1108/K-05-2023-0918https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0918/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Comparative analysis of intelligent connected vehicle industry in China, United States and European Union from technology lifecycle perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0928/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe intelligent connected vehicle (ICV) is an important trend in automobile development, but little research has been conducted on the technological differences in the ICV industry across countries. In this regard, the authors select China, the United States (US) and the European Union (EU) as countries with developed ICV industries to reveal these differences based on the perspective of subdivision technology. The authors use logistic regression to fit lifecycles at technology level and country level based on ICV-related patents from China, the US and the EU, then use the Revealed Technological Advantage (RTA) index, Fast-Growing Specialization Index (FGSI) and International Patent Classification (IPC) numbers to conduct comparison of national technology advantages, finally use the social network analysis to investigate the evolution of characteristics and intermediate nodes of each technology innovation network. Technology lifecycles vary according to the subdivision technology and country. The global development of the ICV industry has reached the mature stage, and 2030 may be a watershed moment, ushering in a wave of new technology iterations. In various subdivision technologies, China and the US have more leading RTAs, and China and the EU have more leading FGSIs. Innovation networks in different countries expand with technology lifecycles, with that in China being the fastest. China's Universities, the US's enterprises and the EU's research institutes are active in cooperative innovation as intermediaries. This is the first study to compare the development of the ICV industry in major countries from the perspective of subdivision technology and reveal characteristics of innovation networks in each.Comparative analysis of intelligent connected vehicle industry in China, United States and European Union from technology lifecycle perspective
Hanbo Zhang, Yong Qi, Guiyang Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The intelligent connected vehicle (ICV) is an important trend in automobile development, but little research has been conducted on the technological differences in the ICV industry across countries. In this regard, the authors select China, the United States (US) and the European Union (EU) as countries with developed ICV industries to reveal these differences based on the perspective of subdivision technology.

The authors use logistic regression to fit lifecycles at technology level and country level based on ICV-related patents from China, the US and the EU, then use the Revealed Technological Advantage (RTA) index, Fast-Growing Specialization Index (FGSI) and International Patent Classification (IPC) numbers to conduct comparison of national technology advantages, finally use the social network analysis to investigate the evolution of characteristics and intermediate nodes of each technology innovation network.

Technology lifecycles vary according to the subdivision technology and country. The global development of the ICV industry has reached the mature stage, and 2030 may be a watershed moment, ushering in a wave of new technology iterations. In various subdivision technologies, China and the US have more leading RTAs, and China and the EU have more leading FGSIs. Innovation networks in different countries expand with technology lifecycles, with that in China being the fastest. China's Universities, the US's enterprises and the EU's research institutes are active in cooperative innovation as intermediaries.

This is the first study to compare the development of the ICV industry in major countries from the perspective of subdivision technology and reveal characteristics of innovation networks in each.

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Comparative analysis of intelligent connected vehicle industry in China, United States and European Union from technology lifecycle perspective10.1108/K-05-2023-0928Kybernetes2023-10-30© 2023 Emerald Publishing LimitedHanbo ZhangYong QiGuiyang ZhangKybernetesahead-of-printahead-of-print2023-10-3010.1108/K-05-2023-0928https://www.emerald.com/insight/content/doi/10.1108/K-05-2023-0928/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Trust, pandemic and communication: an analysis of the COVID-19 pandemic from an autopoietic systems perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-06-2022-0866/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article seeks to discuss trust within the context of public health crises using an autopoietic systems perspective that positions communication as one of its core concepts. This article will explore trust studies conducted during public health crises in this Millennium (from SARS to COVID-19 pandemics), including their problems; briefly summarize Luhmann's concept of Vertrauen; and use this concept to analyze trust issues during the COVID-19 pandemic. This article will explore trust studies conducted during public health crises from SARS to COVID-19 pandemics, including their problems. The perspective used is an explication of Niklas Luhmann's theory regarding Vertrauen which was derived as a framework for reading empirical facts on trust issues during the COVID-19 pandemic. The research design and exploration stages were inspired by the theory of autopoiesis systems by Niklas Luhmann. From a systems perspective, the COVID-19 pandemic has highlighted the extraordinary complexity of the linkages between social systems. Trust will continue to evolve dynamically as new variants emerge in society. Consequently, the pandemic has provided the momentum necessary for maximally exploring the concept of trust. Indonesia thus experienced significant obstacles when making and implementing disaster mitigation policies. Owing to the lack of a trust system, greater emphasis was given to control and power. There has been little preparedness to create and reinforce public trust, and this in turn has stifled efforts to stop the spread of COVID-19. This study of trust, communication and public health crises has provided space to reflect on the development of trust within the social system. This study shows that trust can prove to be a very important factor in resolving a crisis. However, the complexity of the interrelationships of the social system can affect the quality of trust. The context of Indonesia's social system which is very complex due to population density and the dynamics of the development of its social system which is very diverse as an archipelagic country has contributed to the originality of the study of trust in times of crisis in a growing contemporary society.Trust, pandemic and communication: an analysis of the COVID-19 pandemic from an autopoietic systems perspective
Hermin Indah Wahyuni
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article seeks to discuss trust within the context of public health crises using an autopoietic systems perspective that positions communication as one of its core concepts. This article will explore trust studies conducted during public health crises in this Millennium (from SARS to COVID-19 pandemics), including their problems; briefly summarize Luhmann's concept of Vertrauen; and use this concept to analyze trust issues during the COVID-19 pandemic.

This article will explore trust studies conducted during public health crises from SARS to COVID-19 pandemics, including their problems. The perspective used is an explication of Niklas Luhmann's theory regarding Vertrauen which was derived as a framework for reading empirical facts on trust issues during the COVID-19 pandemic. The research design and exploration stages were inspired by the theory of autopoiesis systems by Niklas Luhmann.

From a systems perspective, the COVID-19 pandemic has highlighted the extraordinary complexity of the linkages between social systems. Trust will continue to evolve dynamically as new variants emerge in society. Consequently, the pandemic has provided the momentum necessary for maximally exploring the concept of trust. Indonesia thus experienced significant obstacles when making and implementing disaster mitigation policies. Owing to the lack of a trust system, greater emphasis was given to control and power. There has been little preparedness to create and reinforce public trust, and this in turn has stifled efforts to stop the spread of COVID-19.

This study of trust, communication and public health crises has provided space to reflect on the development of trust within the social system. This study shows that trust can prove to be a very important factor in resolving a crisis. However, the complexity of the interrelationships of the social system can affect the quality of trust. The context of Indonesia's social system which is very complex due to population density and the dynamics of the development of its social system which is very diverse as an archipelagic country has contributed to the originality of the study of trust in times of crisis in a growing contemporary society.

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Trust, pandemic and communication: an analysis of the COVID-19 pandemic from an autopoietic systems perspective10.1108/K-06-2022-0866Kybernetes2023-08-29© 2023 Emerald Publishing LimitedHermin Indah WahyuniKybernetesahead-of-printahead-of-print2023-08-2910.1108/K-06-2022-0866https://www.emerald.com/insight/content/doi/10.1108/K-06-2022-0866/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Factors of green innovation: the role of dynamic capabilities and knowledge sharing through green creativityhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2022-0911/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe manufacturing industry has recently faced many environmental issues and pressures due to increased environmental awareness. Business leaders identified that green innovation (GI) is a crucial aspect of sustainable development (SD) and can provide a competitive edge. On the other hand, boosting SD through GI is a complicated network activity involving various partners, and there is a need to transmit or share knowledge equitably and acceptably. Following the natural resource-based view (NRBV), this research presents a novel framework for investigating how green knowledge sharing (GKS) and green dynamic capabilities (GDC) affect green creativity (GC) and GI directly and through GC. Besides, the moderation of mimetic pressure (MP) was also evaluated in these targeted relations, as it is a critical element for enhancing GI in the context of SD. Data consisted 232 respondents from Pakistani manufacturing industries, and seven substantial hypotheses were verified regarding the direct, mediating and moderating effect of targeted variables in confounding ways using partial least squares structural equation modeling (PLS-SEM). According to the empirical findings, GKS and GDC positively correlate with GC and GI. Moreover, GKS and GDC significantly and positively impact GI both directly and indirectly. Furthermore, GC partially mediates GI, whereas MP has a significant moderating effect in these relationships. A significant correlation among these constructs was observed, demonstrating the conceptual framework for this study. These findings can assist practitioners and academics gain a better understanding of how to manage and evaluate GI in manufacturing projects at both the project and firm levels. Therefore, policymakers and project managers can enhance GI by focusing more on GKS, GDC, MP and GC.Factors of green innovation: the role of dynamic capabilities and knowledge sharing through green creativity
Li Ma, Azhar Ali, Mohsin Shahzad, Adnan Khan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The manufacturing industry has recently faced many environmental issues and pressures due to increased environmental awareness. Business leaders identified that green innovation (GI) is a crucial aspect of sustainable development (SD) and can provide a competitive edge. On the other hand, boosting SD through GI is a complicated network activity involving various partners, and there is a need to transmit or share knowledge equitably and acceptably. Following the natural resource-based view (NRBV), this research presents a novel framework for investigating how green knowledge sharing (GKS) and green dynamic capabilities (GDC) affect green creativity (GC) and GI directly and through GC. Besides, the moderation of mimetic pressure (MP) was also evaluated in these targeted relations, as it is a critical element for enhancing GI in the context of SD.

Data consisted 232 respondents from Pakistani manufacturing industries, and seven substantial hypotheses were verified regarding the direct, mediating and moderating effect of targeted variables in confounding ways using partial least squares structural equation modeling (PLS-SEM).

According to the empirical findings, GKS and GDC positively correlate with GC and GI. Moreover, GKS and GDC significantly and positively impact GI both directly and indirectly. Furthermore, GC partially mediates GI, whereas MP has a significant moderating effect in these relationships.

A significant correlation among these constructs was observed, demonstrating the conceptual framework for this study. These findings can assist practitioners and academics gain a better understanding of how to manage and evaluate GI in manufacturing projects at both the project and firm levels. Therefore, policymakers and project managers can enhance GI by focusing more on GKS, GDC, MP and GC.

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Factors of green innovation: the role of dynamic capabilities and knowledge sharing through green creativity10.1108/K-06-2022-0911Kybernetes2022-11-07© 2022 Emerald Publishing LimitedLi MaAzhar AliMohsin ShahzadAdnan KhanKybernetesahead-of-printahead-of-print2022-11-0710.1108/K-06-2022-0911https://www.emerald.com/insight/content/doi/10.1108/K-06-2022-0911/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Post ERP implementation issues and challenges: exploratory case studies in the context of Saudi Arabiahttps://www.emerald.com/insight/content/doi/10.1108/K-06-2022-0914/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to investigate the post–enterprise resource planning (ERP) issues and challenges in the context of Saudi Arabia. There is a lack of research in the context of developing countries regarding post-ERP implementation issues and challenges. The high failure rate of the ERP system is a reflection of many management issues that occurred at different phases of ERP implementation. Previous research indicated that even after a successful implementation, the ERP system was unable to sustain itself in the organizations. An exploratory case study design was adopted to proceed with this research process at two organizations in Saudi Arabia. The interviews of the top and middle management are conducted and transcribed. These case studies were further analyzed using the Creswell approach to generate several themes, and descriptions provided a deeper understanding of the post ERP implementation issues and challenges. Research findings show that for successful ERP implementation, identified factors are top management support, integration, strategy, employee resistance, BPR, change management, vendor selection, team formation and culture. Moreover, factors for the post-ERP implementation that led to sustainability are top management support, training, system adoption, system testing, data migration, cost overrun, employee retention and post-implementation support. This study is unique in its type to examine the issues and challenges organizations face after deploying ERP initiatives. This research's findings were useful and supportive for the senior management interested in successfully sustaining such an initiative in the organization.Post ERP implementation issues and challenges: exploratory case studies in the context of Saudi Arabia
Faisal Mahmood, Abdul Zahid Khan, Sajid Amir Shah, Muhammad Adil
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to investigate the post–enterprise resource planning (ERP) issues and challenges in the context of Saudi Arabia. There is a lack of research in the context of developing countries regarding post-ERP implementation issues and challenges. The high failure rate of the ERP system is a reflection of many management issues that occurred at different phases of ERP implementation. Previous research indicated that even after a successful implementation, the ERP system was unable to sustain itself in the organizations.

An exploratory case study design was adopted to proceed with this research process at two organizations in Saudi Arabia. The interviews of the top and middle management are conducted and transcribed. These case studies were further analyzed using the Creswell approach to generate several themes, and descriptions provided a deeper understanding of the post ERP implementation issues and challenges.

Research findings show that for successful ERP implementation, identified factors are top management support, integration, strategy, employee resistance, BPR, change management, vendor selection, team formation and culture. Moreover, factors for the post-ERP implementation that led to sustainability are top management support, training, system adoption, system testing, data migration, cost overrun, employee retention and post-implementation support.

This study is unique in its type to examine the issues and challenges organizations face after deploying ERP initiatives. This research's findings were useful and supportive for the senior management interested in successfully sustaining such an initiative in the organization.

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Post ERP implementation issues and challenges: exploratory case studies in the context of Saudi Arabia10.1108/K-06-2022-0914Kybernetes2023-09-21© 2023 Emerald Publishing LimitedFaisal MahmoodAbdul Zahid KhanSajid Amir ShahMuhammad AdilKybernetesahead-of-printahead-of-print2023-09-2110.1108/K-06-2022-0914https://www.emerald.com/insight/content/doi/10.1108/K-06-2022-0914/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Social media addiction and employee sleep: implications for performance and wellbeing in the hospitality industryhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0939/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study is designed to investigate a critical association between social media addiction and employee sleep while considering its implications for employee well-being and performance in the hospitality industry. Based on adapted measures for the study variables, an electronic questionnaire was designed and used for the survey administered in the chain-restaurants of Pakistan. Through a non-probability convenient sampling survey, a total of 347 usable responses were obtained and analyzed for testing the hypothesized research model. Results reveal negative associations between social media addiction, sleep quality, employee performance and well-being. The results have further shown sleep quality as an underlying mediating reason that explains the associations between social media addiction, employee performance and well-being. The study addresses a gap in the literature by examining rarely explored factors such as social media addiction and sleep quality at the same time investigating its impact on performance and well-being of service employees. Significant implications for scholars and practitioners of the hospitality industry have been discussed while highlighting limitations and directions for future research.Social media addiction and employee sleep: implications for performance and wellbeing in the hospitality industry
Qian Wang, Sabahat Azam, Muhammad Hamid Murtza, Junaid M. Shaikh, Muhammad Imran Rasheed
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study is designed to investigate a critical association between social media addiction and employee sleep while considering its implications for employee well-being and performance in the hospitality industry.

Based on adapted measures for the study variables, an electronic questionnaire was designed and used for the survey administered in the chain-restaurants of Pakistan. Through a non-probability convenient sampling survey, a total of 347 usable responses were obtained and analyzed for testing the hypothesized research model.

Results reveal negative associations between social media addiction, sleep quality, employee performance and well-being. The results have further shown sleep quality as an underlying mediating reason that explains the associations between social media addiction, employee performance and well-being.

The study addresses a gap in the literature by examining rarely explored factors such as social media addiction and sleep quality at the same time investigating its impact on performance and well-being of service employees. Significant implications for scholars and practitioners of the hospitality industry have been discussed while highlighting limitations and directions for future research.

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Social media addiction and employee sleep: implications for performance and wellbeing in the hospitality industry10.1108/K-06-2023-0939Kybernetes2023-09-26© 2023 Emerald Publishing LimitedQian WangSabahat AzamMuhammad Hamid MurtzaJunaid M. ShaikhMuhammad Imran RasheedKybernetesahead-of-printahead-of-print2023-09-2610.1108/K-06-2023-0939https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0939/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Fuzzy best–worst method–based approach for warehouse location selection and a case study in Izmirhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0941/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study aims to propose a decision-support system to determine the location of a regional disaster logistics warehouse. Emphasizing the importance of disaster logistics, it considers the criteria to be evaluated for warehouse location selection. It is aimed to determine a warehouse location that will serve the disaster victims most efficiently in case of a disaster by making an application for the province of Izmir, where a massive earthquake hit in 2020. The paper proposes a fuzzy best–worst method to evaluate the alternative locations for the warehouse. The method considers the linguistic evaluations of the decision-makers and provides an advantage in terms of comparison consistency. The alternatives were identified through interviews and discussions with a group of experts in the fields of humanitarian aid and disaster relief operations. The group consists of academics and a vice-governor, who had worked in Izmir. The results of a previously conducted questionnaire were also used in determining these locations. It is shown how the method will be applied to this problem, and the most effective location for the disaster logistics warehouse in Izmir has been determined. This study contributes to disaster preparedness and brings a solution to the organization of the logistics services in Izmir.Fuzzy best–worst method–based approach for warehouse location selection and a case study in Izmir
Çağla Cergibozan, İlker Gölcük
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study aims to propose a decision-support system to determine the location of a regional disaster logistics warehouse. Emphasizing the importance of disaster logistics, it considers the criteria to be evaluated for warehouse location selection. It is aimed to determine a warehouse location that will serve the disaster victims most efficiently in case of a disaster by making an application for the province of Izmir, where a massive earthquake hit in 2020.

The paper proposes a fuzzy best–worst method to evaluate the alternative locations for the warehouse. The method considers the linguistic evaluations of the decision-makers and provides an advantage in terms of comparison consistency. The alternatives were identified through interviews and discussions with a group of experts in the fields of humanitarian aid and disaster relief operations. The group consists of academics and a vice-governor, who had worked in Izmir. The results of a previously conducted questionnaire were also used in determining these locations.

It is shown how the method will be applied to this problem, and the most effective location for the disaster logistics warehouse in Izmir has been determined.

This study contributes to disaster preparedness and brings a solution to the organization of the logistics services in Izmir.

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Fuzzy best–worst method–based approach for warehouse location selection and a case study in Izmir10.1108/K-06-2023-0941Kybernetes2024-03-26© 2024 Emerald Publishing LimitedÇağla Cergibozanİlker GölcükKybernetesahead-of-printahead-of-print2024-03-2610.1108/K-06-2023-0941https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0941/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Mediation of knowledge management processes in enabling strategic HR practices to achieve differentiation and cost-effectivenesshttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0959/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study explores how strategic human resource practices enhance the competitive capability of differentiation and cost-effectiveness by leveraging knowledge resources in Indian IT/software organizations. It examines the mediating effect of knowledge management (KM) processes in the relationship between strategic HR practices, competitive differentiation and cost-effectiveness capabilities. An online questionnaire survey collected data from 380 knowledge workers in 25 IT/software and consultancy firms. The authors checked data reliability and validity by conducting exploratory factor analysis in SPSS and confirmatory factor analysis in AMOS. The authors evaluated hypotheses using path analysis in structural equational modeling in AMOS. Strategic HR practices significantly and positively affect KM processes and competitive capabilities-differentiation and cost-efficiency. Both strategic HR practices and KM processes have a closer association with differentiation than cost-effectiveness. Knowledge management processes significantly and positively mediate between strategic HR practices and competitive capabilities. The mediation is more substantial in predicting differentiation than cost-effectiveness. It is a cross-sectional study with a constrained capacity to predict accurate causal inferences; The authors call for future studies with longitudinal design and objective measures. Further studies are required to explore the impact of various strategic HR configurations on KMP to understand how different routes stimulate a particular competitive strategy. This conceptual framework can be validated across different industry types and sizes. This study provides practical insights to HR and knowledge managers regarding devising HR and KM processes to accomplish the goals of differentiation and cost-effective, competitive strategies. This study highlights that leveraging human capital for effective KM is crucial for gaining a competitive advantage. The paper adds to the strategic HR and KM literature by exploring the mediating role of KM processes in enabling strategic HR processes to enhance differentiation and cost-effective, competitive strategies. It provides original empirical evidence from knowledge-intensive IT/software consultancies, particularly in India's emerging economy. It indicates the current state of HR practices adopted for optimum utilization of knowledge resources and the importance of differentiation strategy for Indian knowledge-intensive IT/software firms.Mediation of knowledge management processes in enabling strategic HR practices to achieve differentiation and cost-effectiveness
Karishma Trivedi, Kailash B.L. Srivastava
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study explores how strategic human resource practices enhance the competitive capability of differentiation and cost-effectiveness by leveraging knowledge resources in Indian IT/software organizations. It examines the mediating effect of knowledge management (KM) processes in the relationship between strategic HR practices, competitive differentiation and cost-effectiveness capabilities.

An online questionnaire survey collected data from 380 knowledge workers in 25 IT/software and consultancy firms. The authors checked data reliability and validity by conducting exploratory factor analysis in SPSS and confirmatory factor analysis in AMOS. The authors evaluated hypotheses using path analysis in structural equational modeling in AMOS.

Strategic HR practices significantly and positively affect KM processes and competitive capabilities-differentiation and cost-efficiency. Both strategic HR practices and KM processes have a closer association with differentiation than cost-effectiveness. Knowledge management processes significantly and positively mediate between strategic HR practices and competitive capabilities. The mediation is more substantial in predicting differentiation than cost-effectiveness.

It is a cross-sectional study with a constrained capacity to predict accurate causal inferences; The authors call for future studies with longitudinal design and objective measures. Further studies are required to explore the impact of various strategic HR configurations on KMP to understand how different routes stimulate a particular competitive strategy. This conceptual framework can be validated across different industry types and sizes.

This study provides practical insights to HR and knowledge managers regarding devising HR and KM processes to accomplish the goals of differentiation and cost-effective, competitive strategies. This study highlights that leveraging human capital for effective KM is crucial for gaining a competitive advantage.

The paper adds to the strategic HR and KM literature by exploring the mediating role of KM processes in enabling strategic HR processes to enhance differentiation and cost-effective, competitive strategies. It provides original empirical evidence from knowledge-intensive IT/software consultancies, particularly in India's emerging economy. It indicates the current state of HR practices adopted for optimum utilization of knowledge resources and the importance of differentiation strategy for Indian knowledge-intensive IT/software firms.

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Mediation of knowledge management processes in enabling strategic HR practices to achieve differentiation and cost-effectiveness10.1108/K-06-2023-0959Kybernetes2023-10-31© 2023 Emerald Publishing LimitedKarishma TrivediKailash B.L. SrivastavaKybernetesahead-of-printahead-of-print2023-10-3110.1108/K-06-2023-0959https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0959/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Do sole actual controllers really inhibit corporate innovation? The nonlinear moderating effect of cooperative culturehttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0965/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest1. Explore the important role of sole actual controller in the innovation decision of the firm and the different effects of the ownership of sole actual controller on innovation; 2. Explore whether the role played by sole actual controllers varies in different types of firms; 3. Explore the important role of cooperative culture in the internal governance of firms and whether sole actual controller firms feel a rejection effect on cooperative culture. The authors collect data on Shanghai and Shenzhen A-share listed companies from 2011 to 2021 to analyze the role of the sole actual controller on innovation investment, as well as the moderating effect of cooperative culture in corporate annual reports using natural language processing. The authors find that sole actual controllers promote corporate innovation investment and that concentrated equity inhibits corporate innovation investment, while dispersed equity concentration promotes it. In addition, cooperative culture has a nonlinear moderating effect on the relationship between SACs and innovation. On the one hand, this study focuses chiefly on the decision-making behavior of top managers, such as the SACs and shareholders, and does not account for the role of bottom-level employees or professional R&D teams in innovation. On the other hand, although this study discusses the moderating role of corporate cooperative culture, it is limited to internal cooperative culture; cooperative culture should also consider external cooperation, such as cooperation between companies or between companies and universities. First, companies should actively implement the SAC model and scientifically select a truly compassionate and visionary SAC as the dominant person in the company. Second, the Chinese government needs to standardize the identification of actual controllers, who should not be a shareholder of the company. Third, policymakers should promote the reform of the mixed system of enterprises, optimize the shareholding structure of firms, make executives an important part of corporate governance. Fourth, cooperation culture is a good start, though firms should avoid letting it become a “double-edged sword” of the management mode of the SAC. First, existing studies do not address the impact of SACs on innovation from the perspective of SACs, who have most influence the firm's decision-making. Focusing on the SAC's decision-making style has sufficient practical implications for future corporate innovation planning. This study used the natural language processing (NLP) module in ChatGPT to analyze the culture of cooperation in corporate annual reports. Currently, corporate culture is an obstacle to the study of corporate governance because of its obscurity and difficulty of quantification. The authors adopted a PSM (propensity score matching) approach to eliminate the endogeneity of the data, which makes the results more scientific.Do sole actual controllers really inhibit corporate innovation? The nonlinear moderating effect of cooperative culture
Ziyu Zhou, Haizhou Fan, Zhiying Liu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

1. Explore the important role of sole actual controller in the innovation decision of the firm and the different effects of the ownership of sole actual controller on innovation; 2. Explore whether the role played by sole actual controllers varies in different types of firms; 3. Explore the important role of cooperative culture in the internal governance of firms and whether sole actual controller firms feel a rejection effect on cooperative culture.

The authors collect data on Shanghai and Shenzhen A-share listed companies from 2011 to 2021 to analyze the role of the sole actual controller on innovation investment, as well as the moderating effect of cooperative culture in corporate annual reports using natural language processing.

The authors find that sole actual controllers promote corporate innovation investment and that concentrated equity inhibits corporate innovation investment, while dispersed equity concentration promotes it. In addition, cooperative culture has a nonlinear moderating effect on the relationship between SACs and innovation.

On the one hand, this study focuses chiefly on the decision-making behavior of top managers, such as the SACs and shareholders, and does not account for the role of bottom-level employees or professional R&D teams in innovation. On the other hand, although this study discusses the moderating role of corporate cooperative culture, it is limited to internal cooperative culture; cooperative culture should also consider external cooperation, such as cooperation between companies or between companies and universities.

First, companies should actively implement the SAC model and scientifically select a truly compassionate and visionary SAC as the dominant person in the company. Second, the Chinese government needs to standardize the identification of actual controllers, who should not be a shareholder of the company. Third, policymakers should promote the reform of the mixed system of enterprises, optimize the shareholding structure of firms, make executives an important part of corporate governance. Fourth, cooperation culture is a good start, though firms should avoid letting it become a “double-edged sword” of the management mode of the SAC.

First, existing studies do not address the impact of SACs on innovation from the perspective of SACs, who have most influence the firm's decision-making. Focusing on the SAC's decision-making style has sufficient practical implications for future corporate innovation planning. This study used the natural language processing (NLP) module in ChatGPT to analyze the culture of cooperation in corporate annual reports. Currently, corporate culture is an obstacle to the study of corporate governance because of its obscurity and difficulty of quantification. The authors adopted a PSM (propensity score matching) approach to eliminate the endogeneity of the data, which makes the results more scientific.

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Do sole actual controllers really inhibit corporate innovation? The nonlinear moderating effect of cooperative culture10.1108/K-06-2023-0965Kybernetes2023-11-27© 2023 Emerald Publishing LimitedZiyu ZhouHaizhou FanZhiying LiuKybernetesahead-of-printahead-of-print2023-11-2710.1108/K-06-2023-0965https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0965/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Study on the symbiosis evolution mechanism of the digital innovation ecosystem: considering government regulationhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0977/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to analyze the symbiotic evolution decisions of digital innovation enterprises, research institutes and the government in the digital innovation ecosystem. Based on innovation ecosystem theory and an evolutionary game model, this study constructs a tripartite symbiotic evolution game model of digital innovation ecosystems with digital innovation enterprises, research institutes and the government as the main bodies and analyzes the influencing factors as well as the evolution paths of the different behavioral strategies of each subject through numerical simulation. The research shows that the digital innovation ecosystem has the characteristic of self-organization, which requires the symbiotic cooperation of each subject. The government plays an active role in any stage of symbiotic evolution, and the system cannot enter symbiosis under a low level of subsidies and penalties. Only when the initial willingness to cooperate of digital innovation enterprises and scientific research institutes is at a medium or high level is the system likely to become symbiotic. While digital innovation enterprises are more sensitive to government subsidies and punishments, scientific research institutes are more sensitive to the distribution proportion of cooperation income. This study includes government regulation into the research scope, expands the research mode of the digital innovation ecosystem and overcomes the difficulties of empirical research in collecting dynamic large sample data. It vividly and systematically simulates the symbiotic evolution process of the digital innovation ecosystem, which provides a theoretical and practical reference for digital innovation ecosystem governance.Study on the symbiosis evolution mechanism of the digital innovation ecosystem: considering government regulation
Donglin Chen, Min Fu, Lei Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to analyze the symbiotic evolution decisions of digital innovation enterprises, research institutes and the government in the digital innovation ecosystem.

Based on innovation ecosystem theory and an evolutionary game model, this study constructs a tripartite symbiotic evolution game model of digital innovation ecosystems with digital innovation enterprises, research institutes and the government as the main bodies and analyzes the influencing factors as well as the evolution paths of the different behavioral strategies of each subject through numerical simulation.

The research shows that the digital innovation ecosystem has the characteristic of self-organization, which requires the symbiotic cooperation of each subject. The government plays an active role in any stage of symbiotic evolution, and the system cannot enter symbiosis under a low level of subsidies and penalties. Only when the initial willingness to cooperate of digital innovation enterprises and scientific research institutes is at a medium or high level is the system likely to become symbiotic. While digital innovation enterprises are more sensitive to government subsidies and punishments, scientific research institutes are more sensitive to the distribution proportion of cooperation income.

This study includes government regulation into the research scope, expands the research mode of the digital innovation ecosystem and overcomes the difficulties of empirical research in collecting dynamic large sample data. It vividly and systematically simulates the symbiotic evolution process of the digital innovation ecosystem, which provides a theoretical and practical reference for digital innovation ecosystem governance.

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Study on the symbiosis evolution mechanism of the digital innovation ecosystem: considering government regulation10.1108/K-06-2023-0977Kybernetes2024-02-19© 2024 Emerald Publishing LimitedDonglin ChenMin FuLei WangKybernetesahead-of-printahead-of-print2024-02-1910.1108/K-06-2023-0977https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0977/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Production mode selection for automakers considering product substitution under the dual-credit policyhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0981/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to compare and analyze the effect of the dual-credit policy and product substitution rate on the automakers’ operational strategies under different production modes (e.g. centralized and independent), and further illustrate which production mode is more conducive to improving new energy vehicle (NEV) development. The decision-making models for a centralized production mode where an integrated automaker produces both NEVs and fuel vehicles (FVs) and for independent production mode where an NEV automaker faces competition from a traditional FV automaker were formulated. The equilibrium solutions of each production mode were obtained by extreme value and game theory methods. The conclusions of the theoretical analysis were further verified with numerical analyses using IBM-MATLAB R2019a. Some management insights could be obtained by comparison analysis. Under the dual-credit policy, an increase in the NEV credit trading price will always raise production quantity of NEVs, but only in an independent production mode where a higher trading price will also bring higher total profits to NEV automakers. In addition, only when the NEV credit trading price is high enough, a rising product substitution rate will be more favorable to NEV production and restrain FV production. Furthermore, an independent production mode is more favorable for the initial production of NEVs, but as each of the two vehicle types captures a certain amount of market share, a centralized production mode will be more conducive to the full replacement of FVs by NEVs. The main contributions of this study include the formulation of decision-making models for FVs and NEVs in not only a centralized production mode but also an independent production mode. Moreover, this paper comprehensively analyzes how the dual-credit policy and product substitution relationship affect automakers’ production and pricing decisions. Then, the specific conditions under which each production mode is more conducive to NEV production and sales are summarized. The results proposed in this study provide scientific managerial insights for automakers and policy makers.Production mode selection for automakers considering product substitution under the dual-credit policy
Yongjian Wang, Xigang Yuan, Fei Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to compare and analyze the effect of the dual-credit policy and product substitution rate on the automakers’ operational strategies under different production modes (e.g. centralized and independent), and further illustrate which production mode is more conducive to improving new energy vehicle (NEV) development.

The decision-making models for a centralized production mode where an integrated automaker produces both NEVs and fuel vehicles (FVs) and for independent production mode where an NEV automaker faces competition from a traditional FV automaker were formulated. The equilibrium solutions of each production mode were obtained by extreme value and game theory methods. The conclusions of the theoretical analysis were further verified with numerical analyses using IBM-MATLAB R2019a. Some management insights could be obtained by comparison analysis.

Under the dual-credit policy, an increase in the NEV credit trading price will always raise production quantity of NEVs, but only in an independent production mode where a higher trading price will also bring higher total profits to NEV automakers. In addition, only when the NEV credit trading price is high enough, a rising product substitution rate will be more favorable to NEV production and restrain FV production. Furthermore, an independent production mode is more favorable for the initial production of NEVs, but as each of the two vehicle types captures a certain amount of market share, a centralized production mode will be more conducive to the full replacement of FVs by NEVs.

The main contributions of this study include the formulation of decision-making models for FVs and NEVs in not only a centralized production mode but also an independent production mode. Moreover, this paper comprehensively analyzes how the dual-credit policy and product substitution relationship affect automakers’ production and pricing decisions. Then, the specific conditions under which each production mode is more conducive to NEV production and sales are summarized. The results proposed in this study provide scientific managerial insights for automakers and policy makers.

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Production mode selection for automakers considering product substitution under the dual-credit policy10.1108/K-06-2023-0981Kybernetes2024-01-15© 2023 Emerald Publishing LimitedYongjian WangXigang YuanFei WangKybernetesahead-of-printahead-of-print2024-01-1510.1108/K-06-2023-0981https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0981/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Research on the knowledge transfer mechanism of digital platform in the digital innovation ecosystem: an improved model of SIR embedded in symbiosis theoryhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0987/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the digital economy era, digital platforms are vital infrastructure for innovation subjects to perform digital innovation activities. Achieving efficient and smooth knowledge transfer between innovation subjects through digital platforms has become a novel research subject. This study aims to examine the knowledge transfer mechanism of digital platforms in the digital innovation ecosystem through modeling and simulation to offer a theoretical basis for digital innovation subjects to acquire digital value through knowledge-sharing and thus augment their competitive advantage. This study explores the optimal symbiotic interaction rate between different users based on the classic susceptible-infected-removed (SIR) model. Additionally, it constructs a knowledge transfer mechanism model for digital platforms in the digital innovation ecosystem by combining the theories of communication dynamics and symbiosis. Finally, Matrix Laboratory (MATLAB) software is used for the model and numerical simulation. The results demonstrate that (1) the evolutionary path of the symbiotic model is key to digital platforms' knowledge transfer in the digital innovation ecosystem. In the symbiotic model, the knowledge transfer path of digital platforms is “independent symbiosis—biased symbiosis (user benefit)—reciprocal symbiosis,” aligning with the overall interests of the digital innovation ecosystem. (2) Digital platforms' knowledge transfer effects within the digital innovation ecosystem show significant differences. The most effective knowledge transfer model for digital platforms is reciprocal symbiosis, whereas the least effective is parochial symbiosis (platform benefit). (3) The symbiotic rate has a significant positive impact on the evolutionary dynamics of knowledge transfer on digital platforms, especially in the reciprocal symbiosis model. This study's results aid digital innovators in achieving efficient knowledge transfer through digital platforms and identify how symbiotic relationships affect the knowledge transfer process across the ecosystem. Accordingly, the authors propose targeted recommendations to promote the efficiency of knowledge transfer on digital platforms.Research on the knowledge transfer mechanism of digital platform in the digital innovation ecosystem: an improved model of SIR embedded in symbiosis theory
Jingtao Liu, Lianju Ning, Qifang Gao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the digital economy era, digital platforms are vital infrastructure for innovation subjects to perform digital innovation activities. Achieving efficient and smooth knowledge transfer between innovation subjects through digital platforms has become a novel research subject. This study aims to examine the knowledge transfer mechanism of digital platforms in the digital innovation ecosystem through modeling and simulation to offer a theoretical basis for digital innovation subjects to acquire digital value through knowledge-sharing and thus augment their competitive advantage.

This study explores the optimal symbiotic interaction rate between different users based on the classic susceptible-infected-removed (SIR) model. Additionally, it constructs a knowledge transfer mechanism model for digital platforms in the digital innovation ecosystem by combining the theories of communication dynamics and symbiosis. Finally, Matrix Laboratory (MATLAB) software is used for the model and numerical simulation.

The results demonstrate that (1) the evolutionary path of the symbiotic model is key to digital platforms' knowledge transfer in the digital innovation ecosystem. In the symbiotic model, the knowledge transfer path of digital platforms is “independent symbiosis—biased symbiosis (user benefit)—reciprocal symbiosis,” aligning with the overall interests of the digital innovation ecosystem. (2) Digital platforms' knowledge transfer effects within the digital innovation ecosystem show significant differences. The most effective knowledge transfer model for digital platforms is reciprocal symbiosis, whereas the least effective is parochial symbiosis (platform benefit). (3) The symbiotic rate has a significant positive impact on the evolutionary dynamics of knowledge transfer on digital platforms, especially in the reciprocal symbiosis model.

This study's results aid digital innovators in achieving efficient knowledge transfer through digital platforms and identify how symbiotic relationships affect the knowledge transfer process across the ecosystem. Accordingly, the authors propose targeted recommendations to promote the efficiency of knowledge transfer on digital platforms.

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Research on the knowledge transfer mechanism of digital platform in the digital innovation ecosystem: an improved model of SIR embedded in symbiosis theory10.1108/K-06-2023-0987Kybernetes2023-10-23© 2023 Emerald Publishing LimitedJingtao LiuLianju NingQifang GaoKybernetesahead-of-printahead-of-print2023-10-2310.1108/K-06-2023-0987https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0987/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Machiavellianism and affective commitment as predictors of unethical pro-organization behavior: exploring the moderating role of moral disengagementhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0998/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestA growing number of organizational scandals, including Apple slowing old devices to increase the sales of new ones, and research on unethical pro-organization behaviors (UPBs) have heightened the need to explore the phenomenon. Extending the current understanding, the study's major purpose is to investigate individual-level factors that may shape their willingness to engage in UPBs. It also inquires whether moral disengagement processes influence this association. After testing the reliability and validity of the latent constructs and ensuring common method bias did not contaminate the data, the study used the PLS-SEM approach to analyze the primary data collected from 408 full-time Pakistani employees. Results add to the current understanding by revealing that individual-level dark factor Machiavellianism (MACH) significantly influences employees' willingness to engage in UPBs. Accordingly, affective commitment is another individual-level factor that encourages employees to be a part of UPBs. Lastly, results unveil that employees with a higher moral disengagement are more prone to engage in UPBs. The study measured employees' willingness or intentions to engage in UPBs, not their actual involvement. Results clarify to the top management that individuals high on MACH, affective commitment and moral disengagement are more prone to be involved in UPBs. This study is among the preliminary ones that assess the direct associations between MACH, affective commitment, and UPBs, especially in the Pakistani context. Moreover, exploring the moderating role of moral disengagement between the above associations is also an under-researched phenomenon.Machiavellianism and affective commitment as predictors of unethical pro-organization behavior: exploring the moderating role of moral disengagement
Zahid Sarwar, Zhihong Song
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

A growing number of organizational scandals, including Apple slowing old devices to increase the sales of new ones, and research on unethical pro-organization behaviors (UPBs) have heightened the need to explore the phenomenon. Extending the current understanding, the study's major purpose is to investigate individual-level factors that may shape their willingness to engage in UPBs. It also inquires whether moral disengagement processes influence this association.

After testing the reliability and validity of the latent constructs and ensuring common method bias did not contaminate the data, the study used the PLS-SEM approach to analyze the primary data collected from 408 full-time Pakistani employees.

Results add to the current understanding by revealing that individual-level dark factor Machiavellianism (MACH) significantly influences employees' willingness to engage in UPBs. Accordingly, affective commitment is another individual-level factor that encourages employees to be a part of UPBs. Lastly, results unveil that employees with a higher moral disengagement are more prone to engage in UPBs.

The study measured employees' willingness or intentions to engage in UPBs, not their actual involvement.

Results clarify to the top management that individuals high on MACH, affective commitment and moral disengagement are more prone to be involved in UPBs.

This study is among the preliminary ones that assess the direct associations between MACH, affective commitment, and UPBs, especially in the Pakistani context. Moreover, exploring the moderating role of moral disengagement between the above associations is also an under-researched phenomenon.

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Machiavellianism and affective commitment as predictors of unethical pro-organization behavior: exploring the moderating role of moral disengagement10.1108/K-06-2023-0998Kybernetes2023-12-13© 2023 Emerald Publishing LimitedZahid SarwarZhihong SongKybernetesahead-of-printahead-of-print2023-12-1310.1108/K-06-2023-0998https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-0998/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Research on the tail risk contagion in the international commodity market on the China's financial market: based on a network perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1001/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestConsidering the frequency of extreme events, enhancing the global financial system's stability has become crucial. This study aims to investigate the contagion effects of extreme risk events in the international commodity market on China's financial industry. It highlights the significance of comprehending the origins, severity and potential impacts of extreme risks within China's financial market. This study uses the tail-event driven network risk (TENET) model to construct a tail risk spillover network between China's financial market and the international commodity market. Combining with the characteristics of the network, this study employs an autoregressive distributed lag (ARDL) model to examine the factors influencing systemic risks in China's financial market and to explore the early identification of indicators for systemic risks in China's financial market. The research reveals a strong tail risk contagion effect between China's financial market and the international commodity market, with a more pronounced impact from the latter to the former. Industrial raw materials, food, metals, oils, livestock and textiles notably influence China's currency market. The systemic risk in China's financial market is driven by systemic risks in the international commodity market and network centrality and can be accurately predicted with the ARDL-error correction model (ECM) model. Based on these, Chinese regulatory authorities can establish a monitoring and early warning mechanism to promptly identify contagion signs, issue timely warnings and adjust regulatory measures. This study provides new insights into predicting systemic risk in China's financial market by revealing the tail risk spillover network structure between China's financial and international commodity markets.Research on the tail risk contagion in the international commodity market on the China's financial market: based on a network perspective
Xin Liao, Wen Li
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Considering the frequency of extreme events, enhancing the global financial system's stability has become crucial. This study aims to investigate the contagion effects of extreme risk events in the international commodity market on China's financial industry. It highlights the significance of comprehending the origins, severity and potential impacts of extreme risks within China's financial market.

This study uses the tail-event driven network risk (TENET) model to construct a tail risk spillover network between China's financial market and the international commodity market. Combining with the characteristics of the network, this study employs an autoregressive distributed lag (ARDL) model to examine the factors influencing systemic risks in China's financial market and to explore the early identification of indicators for systemic risks in China's financial market.

The research reveals a strong tail risk contagion effect between China's financial market and the international commodity market, with a more pronounced impact from the latter to the former. Industrial raw materials, food, metals, oils, livestock and textiles notably influence China's currency market. The systemic risk in China's financial market is driven by systemic risks in the international commodity market and network centrality and can be accurately predicted with the ARDL-error correction model (ECM) model. Based on these, Chinese regulatory authorities can establish a monitoring and early warning mechanism to promptly identify contagion signs, issue timely warnings and adjust regulatory measures.

This study provides new insights into predicting systemic risk in China's financial market by revealing the tail risk spillover network structure between China's financial and international commodity markets.

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Research on the tail risk contagion in the international commodity market on the China's financial market: based on a network perspective10.1108/K-06-2023-1001Kybernetes2023-10-31© 2023 Emerald Publishing LimitedXin LiaoWen LiKybernetesahead-of-printahead-of-print2023-10-3110.1108/K-06-2023-1001https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1001/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Work–life balance and employee commitment in the new normal: evidence from Indian railway using mixed-method approachhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1002/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study principally aims to investigate the relationship among work–life balance (WLB), job satisfaction (JS) and employee commitment (EC) among the railway staff by integrating the social exchange theory (SET). The study also explores JS as a mediator in the context of the new normal. A mixed-method sequential explanatory design was utilized for this study. The research instrument was administered to 533 railway employees, using purposive sampling to ensure reliability and validity. Structural equation modeling (SEM) was employed to analyze the quantitative data and measure mediation effects. Additionally, 15 interviews were conducted with employees from three job positioning groups (A, B and C) to gain further insights into commitment-related concerns. The study found that WLB and JS positively influenced EC, with JS acting as a mediator between WLB and EC. Furthermore, factors such as fostering friendships among colleagues, effectively managing work–life integration and recognizing the importance of job roles were identified as crucial in enhancing the relationship between WLB and EC. The study includes SET to examine the social exchange process while considering WLB benefits as a reward from the employer and EC as the outcome of this reward. This study contributes by examining the effects of COVID-19 on the railway industry and EC. The mixed-methods sequential explanatory design gave a comprehensive understanding of the relationships between WLB, JS and EC. The study’s implications highlight the importance of implementing supportive policies, such as flexible work schedules and a supportive organizational culture, to enhance employee commitment and reduce attrition rates. The study emphasizes the significance of prioritizing employee well-being to achieve organizational goals and enhance organizational commitment.Work–life balance and employee commitment in the new normal: evidence from Indian railway using mixed-method approach
Atanu Manna, Subhajit Pahari, Debasish Biswas, Dipa Banerjee, Debasis Das
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study principally aims to investigate the relationship among work–life balance (WLB), job satisfaction (JS) and employee commitment (EC) among the railway staff by integrating the social exchange theory (SET). The study also explores JS as a mediator in the context of the new normal.

A mixed-method sequential explanatory design was utilized for this study. The research instrument was administered to 533 railway employees, using purposive sampling to ensure reliability and validity. Structural equation modeling (SEM) was employed to analyze the quantitative data and measure mediation effects. Additionally, 15 interviews were conducted with employees from three job positioning groups (A, B and C) to gain further insights into commitment-related concerns.

The study found that WLB and JS positively influenced EC, with JS acting as a mediator between WLB and EC. Furthermore, factors such as fostering friendships among colleagues, effectively managing work–life integration and recognizing the importance of job roles were identified as crucial in enhancing the relationship between WLB and EC.

The study includes SET to examine the social exchange process while considering WLB benefits as a reward from the employer and EC as the outcome of this reward. This study contributes by examining the effects of COVID-19 on the railway industry and EC. The mixed-methods sequential explanatory design gave a comprehensive understanding of the relationships between WLB, JS and EC. The study’s implications highlight the importance of implementing supportive policies, such as flexible work schedules and a supportive organizational culture, to enhance employee commitment and reduce attrition rates. The study emphasizes the significance of prioritizing employee well-being to achieve organizational goals and enhance organizational commitment.

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Work–life balance and employee commitment in the new normal: evidence from Indian railway using mixed-method approach10.1108/K-06-2023-1002Kybernetes2023-12-26© 2023 Emerald Publishing LimitedAtanu MannaSubhajit PahariDebasish BiswasDipa BanerjeeDebasis DasKybernetesahead-of-printahead-of-print2023-12-2610.1108/K-06-2023-1002https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1002/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring the impact of Internet and media sources exposure on self-care behavior: mediating the role of health anxiety, literacy and information-seeking behaviorhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1003/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestQuality of life is dependent on a healthy lifestyle and the self-care behavior of individuals. The study's purpose is to find out the determinants of individuals' self-care behavior. As such, self-care behavior is influenced by several factors that include individual knowledge, available information sources and their use, information-seeking related skills and cognitive state. A quantitative research design followed using a questionnaire-based survey method. A total of 384 responses from the Pakistani public were collected using the convenience sampling technique. Structural equation modeling (SEM) was performed for examining the possible link between the variables. Health literacy, Internet and social media use, and health information-seeking behavior had a direct/indirect positive impact on self-care behavior, but health anxiety had a negative impact. Health literacy and health information-seeking behavior positively mediated the relationship among Internet and social media use health anxiety and self-care. Improving health literacy appears to be key to supporting better self-care, but it is an exploratory study, more research is required to confirm these findings. Policymakers, health professionals and information professionals should work together to improve health literacy and support informed self-care among the population. Thus far, no previous study has examined the collective role of social media exposure, health anxiety, health literacy and health information-seeking behavior as predictors of self-care behavior. Although self-care behavior among the general population might be different compared to chronic patients, only few studies have examined the former as a unit of analysis.Exploring the impact of Internet and media sources exposure on self-care behavior: mediating the role of health anxiety, literacy and information-seeking behavior
Saira Hanif Soroya, Adeel Ur Rehman, Anthony Faiola
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Quality of life is dependent on a healthy lifestyle and the self-care behavior of individuals. The study's purpose is to find out the determinants of individuals' self-care behavior. As such, self-care behavior is influenced by several factors that include individual knowledge, available information sources and their use, information-seeking related skills and cognitive state.

A quantitative research design followed using a questionnaire-based survey method. A total of 384 responses from the Pakistani public were collected using the convenience sampling technique. Structural equation modeling (SEM) was performed for examining the possible link between the variables.

Health literacy, Internet and social media use, and health information-seeking behavior had a direct/indirect positive impact on self-care behavior, but health anxiety had a negative impact. Health literacy and health information-seeking behavior positively mediated the relationship among Internet and social media use health anxiety and self-care.

Improving health literacy appears to be key to supporting better self-care, but it is an exploratory study, more research is required to confirm these findings. Policymakers, health professionals and information professionals should work together to improve health literacy and support informed self-care among the population.

Thus far, no previous study has examined the collective role of social media exposure, health anxiety, health literacy and health information-seeking behavior as predictors of self-care behavior. Although self-care behavior among the general population might be different compared to chronic patients, only few studies have examined the former as a unit of analysis.

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Exploring the impact of Internet and media sources exposure on self-care behavior: mediating the role of health anxiety, literacy and information-seeking behavior10.1108/K-06-2023-1003Kybernetes2023-08-07© 2023 Emerald Publishing LimitedSaira Hanif SoroyaAdeel Ur RehmanAnthony FaiolaKybernetesahead-of-printahead-of-print2023-08-0710.1108/K-06-2023-1003https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1003/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Factors influencing initial public acceptance of integrating the ChatGPT-type model with government serviceshttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1011/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIntegrating the Chat Generative Pre-Trained Transformer-type (ChatGPT-type) model with government services has great development prospects. Applying this model improves service efficiency but has certain risks, thus having a dual impact on the public. For a responsible and democratic government, it is necessary to fully understand the factors influencing public acceptance and their causal relationships to truly encourage the public to accept and use government ChatGPT-type services. This study used the Latent Dirichlet allocation (LDA) model to analyze comment texts and summarize 15 factors that affect public acceptance. Multiple-related matrices were established using the grey decision-making trial and evaluation laboratory (grey-DEMATEL) method to reveal causal relationships among factors. From the two opposite extraction rules of result priority and cause priority, the authors obtained an antagonistic topological model with comprehensive influence values using the total adversarial interpretive structure model (TAISM). Fifteen factors were categorized in terms of cause and effect, and the antagonistic topological model with comprehensive influence values was also analyzed. The analysis showed that perceived risk, trust and meeting demand were the three most critical factors of public acceptance. Meanwhile, perceived risk and trust directly affected public acceptance and were affected by other factors. Supervision and accountability had the highest driving power and acted as the causal factor to influence other factors. This study identified the factors affecting public acceptance of integrating the ChatGPT-type model with government services. It analyzed the relationship between the factors to provide a reference for decision-makers. This study introduced TAISM to form the LDA-grey-DEMATEL-TAISM method to provide an analytical paradigm for studying similar influencing factors.Factors influencing initial public acceptance of integrating the ChatGPT-type model with government services
Liu Yang, Jian Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Integrating the Chat Generative Pre-Trained Transformer-type (ChatGPT-type) model with government services has great development prospects. Applying this model improves service efficiency but has certain risks, thus having a dual impact on the public. For a responsible and democratic government, it is necessary to fully understand the factors influencing public acceptance and their causal relationships to truly encourage the public to accept and use government ChatGPT-type services.

This study used the Latent Dirichlet allocation (LDA) model to analyze comment texts and summarize 15 factors that affect public acceptance. Multiple-related matrices were established using the grey decision-making trial and evaluation laboratory (grey-DEMATEL) method to reveal causal relationships among factors. From the two opposite extraction rules of result priority and cause priority, the authors obtained an antagonistic topological model with comprehensive influence values using the total adversarial interpretive structure model (TAISM).

Fifteen factors were categorized in terms of cause and effect, and the antagonistic topological model with comprehensive influence values was also analyzed. The analysis showed that perceived risk, trust and meeting demand were the three most critical factors of public acceptance. Meanwhile, perceived risk and trust directly affected public acceptance and were affected by other factors. Supervision and accountability had the highest driving power and acted as the causal factor to influence other factors.

This study identified the factors affecting public acceptance of integrating the ChatGPT-type model with government services. It analyzed the relationship between the factors to provide a reference for decision-makers. This study introduced TAISM to form the LDA-grey-DEMATEL-TAISM method to provide an analytical paradigm for studying similar influencing factors.

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Factors influencing initial public acceptance of integrating the ChatGPT-type model with government services10.1108/K-06-2023-1011Kybernetes2023-08-04© 2023 Emerald Publishing LimitedLiu YangJian WangKybernetesahead-of-printahead-of-print2023-08-0410.1108/K-06-2023-1011https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1011/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Causal inference in the age of big data: blind faith in data and technologyhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1026/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the era of big data, there is doubt about the significance of causal inference as a paramount scientific task in the social sciences. Meanwhile, data-mining techniques rooted in big data and artificial intelligence (AI) have infiltrated numerous aspects of social science research. This study aims to expound the criticality of discerning causal relationships – beyond mere correlations – and scrutinizes the ramifications of big data and AI in the identification of causality. This study discusses the challenges and opportunities for causality identification in the era of big data under the framework of potential outcomes model and structural causal model. First, even in the age of big data, correlations that lack interpretability, robustness and feasibility cannot substitute causality. Second, the richness of the sample size does not help solve the problem of systematic bias in the process of causal inference. Furthermore, current AI research targets correlations rather than causality, thus creating difficulties in advancing from observations to counterfactuals. This study provides insights into the impact of big data era on causal inference in the social sciences, with a view toward enhancing the pool of theoretical concepts available to researchers in relevant fields and accurately guiding the direction of scientific research in these fields.Causal inference in the age of big data: blind faith in data and technology
Fan Chao, Weibin Wang, Guang Yu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the era of big data, there is doubt about the significance of causal inference as a paramount scientific task in the social sciences. Meanwhile, data-mining techniques rooted in big data and artificial intelligence (AI) have infiltrated numerous aspects of social science research. This study aims to expound the criticality of discerning causal relationships – beyond mere correlations – and scrutinizes the ramifications of big data and AI in the identification of causality.

This study discusses the challenges and opportunities for causality identification in the era of big data under the framework of potential outcomes model and structural causal model.

First, even in the age of big data, correlations that lack interpretability, robustness and feasibility cannot substitute causality. Second, the richness of the sample size does not help solve the problem of systematic bias in the process of causal inference. Furthermore, current AI research targets correlations rather than causality, thus creating difficulties in advancing from observations to counterfactuals.

This study provides insights into the impact of big data era on causal inference in the social sciences, with a view toward enhancing the pool of theoretical concepts available to researchers in relevant fields and accurately guiding the direction of scientific research in these fields.

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Causal inference in the age of big data: blind faith in data and technology10.1108/K-06-2023-1026Kybernetes2023-09-07© 2023 Emerald Publishing LimitedFan ChaoWeibin WangGuang YuKybernetesahead-of-printahead-of-print2023-09-0710.1108/K-06-2023-1026https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1026/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Proposing new clustering-based algorithms for the multi-skilled resource-constrained multi-project scheduling problem with resource leveling adjustmentshttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1044/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe target of this research is to develop a mathematical model which combines the Resource-Constrained Multi-Project Scheduling Problem (RCMPSP) and the Multi-Skilled Resource-Constrained Project Scheduling Problem (MSRCPSP). Due to the importance of resource management, the proposed formulation comprises resource leveling considerations as well. The model aims to simultaneously optimize: (1) the total time to accomplish all projects and (2) the total deviation of resource consumptions from the uniform utilization levels. The K-Means (KM) and Fuzzy C-Means (FCM) clustering methods have been separately applied to discover the clusters of activities which have the most similar resource demands. The discovered clusters are given to the scheduling process as priori knowledge. Consequently, the execution times of the activities with the most common resource requests will not overlap. The intricacy of the problem led us to incorporate the KM and FCM techniques into a meta-heuristic called the Bi-objective Symbiosis Organisms Search (BSOS) algorithm so that the real-life samples of this problem could be solved. Therefore, two clustering-based algorithms, namely, the BSOS-KM and BSOS-FCM have been developed. Comparisons between the BSOS-KM, BSOS-FCM and the BSOS method without any clustering approach show that the clustering techniques could enhance the optimization process. Another hybrid clustering-based methodology called the NSGA-II-SPE has been added to the comparisons to evaluate the developed resource leveling framework. The practical importance of the model and the clustering-based algorithms have been demonstrated in planning several construction projects, where multiple water supply systems are concurrently constructed. Reviewing the literature revealed that there was a need for a hybrid formulation that embraces the characteristics of the RCMPSP and MSRCPSP with resource leveling considerations. Moreover, the application of clustering algorithms as resource leveling techniques was not studied sufficiently in the literature.Proposing new clustering-based algorithms for the multi-skilled resource-constrained multi-project scheduling problem with resource leveling adjustments
Ehsan Goudarzi, Hamid Esmaeeli, Kia Parsa, Shervin Asadzadeh
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The target of this research is to develop a mathematical model which combines the Resource-Constrained Multi-Project Scheduling Problem (RCMPSP) and the Multi-Skilled Resource-Constrained Project Scheduling Problem (MSRCPSP). Due to the importance of resource management, the proposed formulation comprises resource leveling considerations as well. The model aims to simultaneously optimize: (1) the total time to accomplish all projects and (2) the total deviation of resource consumptions from the uniform utilization levels.

The K-Means (KM) and Fuzzy C-Means (FCM) clustering methods have been separately applied to discover the clusters of activities which have the most similar resource demands. The discovered clusters are given to the scheduling process as priori knowledge. Consequently, the execution times of the activities with the most common resource requests will not overlap. The intricacy of the problem led us to incorporate the KM and FCM techniques into a meta-heuristic called the Bi-objective Symbiosis Organisms Search (BSOS) algorithm so that the real-life samples of this problem could be solved. Therefore, two clustering-based algorithms, namely, the BSOS-KM and BSOS-FCM have been developed.

Comparisons between the BSOS-KM, BSOS-FCM and the BSOS method without any clustering approach show that the clustering techniques could enhance the optimization process. Another hybrid clustering-based methodology called the NSGA-II-SPE has been added to the comparisons to evaluate the developed resource leveling framework.

The practical importance of the model and the clustering-based algorithms have been demonstrated in planning several construction projects, where multiple water supply systems are concurrently constructed.

Reviewing the literature revealed that there was a need for a hybrid formulation that embraces the characteristics of the RCMPSP and MSRCPSP with resource leveling considerations. Moreover, the application of clustering algorithms as resource leveling techniques was not studied sufficiently in the literature.

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Proposing new clustering-based algorithms for the multi-skilled resource-constrained multi-project scheduling problem with resource leveling adjustments10.1108/K-06-2023-1044Kybernetes2023-11-16© 2023 Emerald Publishing LimitedEhsan GoudarziHamid EsmaeeliKia ParsaShervin AsadzadehKybernetesahead-of-printahead-of-print2023-11-1610.1108/K-06-2023-1044https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1044/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Analysis of financial management practices in China's manufacturing sector before and during COVID-19: a comparison with Romaniahttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1045/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe objective of this study is to investigate how the coronavirus disease 2019 (COVID-19) pandemic affects firms' financial management in China's manufacturing sector. In addition, the authors analyze the changes in various financial indicators before and during the COVID-19 pandemic. Further, the authors make a cross-country comparison of the COVID-19's impact on financial management between China and Romania. The study uses the balanced panel data of 2,272 manufacturing listed companies from 2019 to 2020, and applies the t-test method and multiple regression method. The results show that firms' financial performance in most manufacturing sub-sectors decreased during the observed period. In addition, the authors find that equity financing, proper liquidity management and an expanded firm scale can improve firms' financial performance. The authors further compare the results with the Romanian results, and find that the negative impact of debt-to-equity ratio on firms' financial performance in Romania is greater than that in China and the positive impact of financial autonomy ratio and working capital ratios is greater in China than that in Romania. The findings can help corporate managers make the best financial management decision in response to crisis. This study is one of the pioneers that analyze how manufacturing companies carried out their financial management during the COVID-19 crisis in the Chinese context, and provides a cross-country analysis of corporate financial management practices in China and Romania.Analysis of financial management practices in China's manufacturing sector before and during COVID-19: a comparison with Romania
Xiaoming Chen, Jian Xu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The objective of this study is to investigate how the coronavirus disease 2019 (COVID-19) pandemic affects firms' financial management in China's manufacturing sector. In addition, the authors analyze the changes in various financial indicators before and during the COVID-19 pandemic. Further, the authors make a cross-country comparison of the COVID-19's impact on financial management between China and Romania.

The study uses the balanced panel data of 2,272 manufacturing listed companies from 2019 to 2020, and applies the t-test method and multiple regression method.

The results show that firms' financial performance in most manufacturing sub-sectors decreased during the observed period. In addition, the authors find that equity financing, proper liquidity management and an expanded firm scale can improve firms' financial performance. The authors further compare the results with the Romanian results, and find that the negative impact of debt-to-equity ratio on firms' financial performance in Romania is greater than that in China and the positive impact of financial autonomy ratio and working capital ratios is greater in China than that in Romania.

The findings can help corporate managers make the best financial management decision in response to crisis.

This study is one of the pioneers that analyze how manufacturing companies carried out their financial management during the COVID-19 crisis in the Chinese context, and provides a cross-country analysis of corporate financial management practices in China and Romania.

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Analysis of financial management practices in China's manufacturing sector before and during COVID-19: a comparison with Romania10.1108/K-06-2023-1045Kybernetes2023-08-29© 2023 Emerald Publishing LimitedXiaoming ChenJian XuKybernetesahead-of-printahead-of-print2023-08-2910.1108/K-06-2023-1045https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1045/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Optimal multi-period pricing and sales effort decisions with a logit demand model in an integrated channelhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1048/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to provide an optimal joint strategy of multi-period pricing and sales effort for a retailer with a logit choice demand in an integrated channel. Customer demand is characterized by a logit choice model, it varies over time and is influenced by price and sales effort. The multi-period decision model for the retailer is constructed using a discrete-time dynamic programming method to determine the optimal price and sales effort in each period. When the inventory level does not exceed a certain threshold, decreasing price and increasing sales effort over time or as inventory level increases are the optimal strategies. However, once the inventory level exceeds the threshold, the optimal strategy is to maintain both price and sales effort constant as the inventory level changes or to increase price and decrease sales effort over time. Additionally, the greater the influence of sales effort on demand or the higher the arrival rate of customers, the higher the optimal price and the greater the optimal sales effort level. This study contributes to the existing research on dynamic pricing and sales effort in integrated channels by incorporating a logit choice model. Furthermore, it provides valuable management insights for retailers operating in an integrated channel to make pricing and sales effort decisions based on inventory level and time period.Optimal multi-period pricing and sales effort decisions with a logit demand model in an integrated channel
Wanting Hu, Guangwei Deng
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to provide an optimal joint strategy of multi-period pricing and sales effort for a retailer with a logit choice demand in an integrated channel.

Customer demand is characterized by a logit choice model, it varies over time and is influenced by price and sales effort. The multi-period decision model for the retailer is constructed using a discrete-time dynamic programming method to determine the optimal price and sales effort in each period.

When the inventory level does not exceed a certain threshold, decreasing price and increasing sales effort over time or as inventory level increases are the optimal strategies. However, once the inventory level exceeds the threshold, the optimal strategy is to maintain both price and sales effort constant as the inventory level changes or to increase price and decrease sales effort over time. Additionally, the greater the influence of sales effort on demand or the higher the arrival rate of customers, the higher the optimal price and the greater the optimal sales effort level.

This study contributes to the existing research on dynamic pricing and sales effort in integrated channels by incorporating a logit choice model. Furthermore, it provides valuable management insights for retailers operating in an integrated channel to make pricing and sales effort decisions based on inventory level and time period.

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Optimal multi-period pricing and sales effort decisions with a logit demand model in an integrated channel10.1108/K-06-2023-1048Kybernetes2023-12-15© 2023 Emerald Publishing LimitedWanting HuGuangwei DengKybernetesahead-of-printahead-of-print2023-12-1510.1108/K-06-2023-1048https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1048/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Optimal industrial structure and economic growth: a new measurement method and applicationhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1057/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to explore the matching relationship between factor endowment and industrial structure, and its impact on economic growth. The assortative matching method is developed to quantitatively measure the matching between factor endowment and industrial structure. A series of empirical tests are then carried out to evaluate the impact on the economic development of the matching. 1) The matching between factor endowment and industrial structure has a significantly positive impact on economic growth. (2) Economic growth reaches its maximum when the gap between the two sectors narrows to zero. (3) This effect is particularly significant for countries with higher GDP per capita and GNI per capita. (4) The results remain robust after employing a series of tests. Aggressive industrial policies are not desirable. The optimal industrial structure is the one that complied with the comparative advantage of the given factor endowment in the economy. So far, there has been a significant lack of an applicable quantitative indicator for measuring the matching between factor endowment and industrial structure, which is essential for conducting empirical tests and providing evidence for related economic theories.Optimal industrial structure and economic growth: a new measurement method and application
Yunjue Huang, Dezhu Ye, Shulin Xu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to explore the matching relationship between factor endowment and industrial structure, and its impact on economic growth.

The assortative matching method is developed to quantitatively measure the matching between factor endowment and industrial structure. A series of empirical tests are then carried out to evaluate the impact on the economic development of the matching.

1) The matching between factor endowment and industrial structure has a significantly positive impact on economic growth. (2) Economic growth reaches its maximum when the gap between the two sectors narrows to zero. (3) This effect is particularly significant for countries with higher GDP per capita and GNI per capita. (4) The results remain robust after employing a series of tests.

Aggressive industrial policies are not desirable. The optimal industrial structure is the one that complied with the comparative advantage of the given factor endowment in the economy.

So far, there has been a significant lack of an applicable quantitative indicator for measuring the matching between factor endowment and industrial structure, which is essential for conducting empirical tests and providing evidence for related economic theories.

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Optimal industrial structure and economic growth: a new measurement method and application10.1108/K-06-2023-1057Kybernetes2023-10-10© 2023 Emerald Publishing LimitedYunjue HuangDezhu YeShulin XuKybernetesahead-of-printahead-of-print2023-10-1010.1108/K-06-2023-1057https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1057/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Mining safely: examining the moderating role of safety climate on mineworkers' mental health and safety behavior nexushttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1067/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study aims to investigate the impact of anxiety and depression (dimensions of mental health) on mineworkers' safety behaviors (safety compliance and safety participation) while examining the moderating role of safety climate on these relationships. A quantitative research approach with an explanatory cross-sectional survey research design was adopted. A total of 274 purposively selected mineworkers participated in the study. Responses were obtained from participants through a structured questionnaire which was analyzed using the partial least square structural equation modeling. Anxiety had a significant negative effect on safety compliance but not participation. However, depression was found to have a significant negative effect on both mineworkers' safety compliance and participation behaviors. The findings of the study also show that safety climate moderates the relationships between the dimensions of mental health and mineworkers' safety behavior except for the relationship between anxiety and mineworkers' safety participation behavior. The study offers an account of the negative effect of mental health on mineworkers' safety behavior whiles highlighting that safety climate is an important construct to mitigate the negative effects of mental illness on the safety behaviors of mineworkers.Mining safely: examining the moderating role of safety climate on mineworkers' mental health and safety behavior nexus
Emmanuel Kodwo Amoako, Saviour Ayertey Nubuor, Abdul-Razak Suleman, Amin Abdul Bawa, Bridget Akwetey-Siaw
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study aims to investigate the impact of anxiety and depression (dimensions of mental health) on mineworkers' safety behaviors (safety compliance and safety participation) while examining the moderating role of safety climate on these relationships.

A quantitative research approach with an explanatory cross-sectional survey research design was adopted. A total of 274 purposively selected mineworkers participated in the study. Responses were obtained from participants through a structured questionnaire which was analyzed using the partial least square structural equation modeling.

Anxiety had a significant negative effect on safety compliance but not participation. However, depression was found to have a significant negative effect on both mineworkers' safety compliance and participation behaviors. The findings of the study also show that safety climate moderates the relationships between the dimensions of mental health and mineworkers' safety behavior except for the relationship between anxiety and mineworkers' safety participation behavior.

The study offers an account of the negative effect of mental health on mineworkers' safety behavior whiles highlighting that safety climate is an important construct to mitigate the negative effects of mental illness on the safety behaviors of mineworkers.

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Mining safely: examining the moderating role of safety climate on mineworkers' mental health and safety behavior nexus10.1108/K-06-2023-1067Kybernetes2023-08-31© 2023 Emerald Publishing LimitedEmmanuel Kodwo AmoakoSaviour Ayertey NubuorAbdul-Razak SulemanAmin Abdul BawaBridget Akwetey-SiawKybernetesahead-of-printahead-of-print2023-08-3110.1108/K-06-2023-1067https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1067/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How big data-driven organizational capabilities shape innovation performance? An empirical study from small and medium manufacturing enterpriseshttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1070/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study mainly aims to explore the causal nexus between big data-driven organizational capabilities (BDDOC) and supply chain innovation capabilities (SCIC) and innovation performance (IP), then explore the indirect effect of SCIC and also test the moderating effects for both internal supply chain integration (ISCI) and external supply chain integration (ESCI) into the relationship between BDDOC and SCIC. In order to test the conceptual model and the hypothesized relationships between all the constructs, the data were collected using a self-reported questionnaire by workers in Jordanian small and medium manufacturing enterprises. Partial least squares-structural equation modeling (PLS-SEM) was employed to test the model. The paper reached a set of interesting results where it was confirmed that there is a positive and statistically significant relationship between BDDOC, SCIC and IP in addition to confirming the indirect effect of SCIC between BDDOC and IP. The results also showed that there is a moderating role for both ESCI and ISCI. This study can be considered the first study in the current literature that investigates these constructs as shown in the research model. Therefore, the paper presents an interesting set of theoretical and managerial contributions that may contribute to covering part of the research gap in the literature.How big data-driven organizational capabilities shape innovation performance? An empirical study from small and medium manufacturing enterprises
Ayman Wael Al-Khatib
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study mainly aims to explore the causal nexus between big data-driven organizational capabilities (BDDOC) and supply chain innovation capabilities (SCIC) and innovation performance (IP), then explore the indirect effect of SCIC and also test the moderating effects for both internal supply chain integration (ISCI) and external supply chain integration (ESCI) into the relationship between BDDOC and SCIC.

In order to test the conceptual model and the hypothesized relationships between all the constructs, the data were collected using a self-reported questionnaire by workers in Jordanian small and medium manufacturing enterprises. Partial least squares-structural equation modeling (PLS-SEM) was employed to test the model.

The paper reached a set of interesting results where it was confirmed that there is a positive and statistically significant relationship between BDDOC, SCIC and IP in addition to confirming the indirect effect of SCIC between BDDOC and IP. The results also showed that there is a moderating role for both ESCI and ISCI.

This study can be considered the first study in the current literature that investigates these constructs as shown in the research model. Therefore, the paper presents an interesting set of theoretical and managerial contributions that may contribute to covering part of the research gap in the literature.

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How big data-driven organizational capabilities shape innovation performance? An empirical study from small and medium manufacturing enterprises10.1108/K-06-2023-1070Kybernetes2023-10-11© 2023 Emerald Publishing LimitedAyman Wael Al-KhatibKybernetesahead-of-printahead-of-print2023-10-1110.1108/K-06-2023-1070https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1070/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Does employee envy drive service sabotage? Evidence from hotel organizationshttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1092/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUsing the theoretical framework of social comparison theory (SCT), this study investigates the effects of employee envy on service sabotage behaviors in the hospitality industry. It further examines the complex dynamics of self-performance and job dissatisfaction in this context. Notably, this paper seeks to determine the potential moderating role of perceived employability in the interactions between service sabotage, employee envy, job dissatisfaction and self-performance. Our research structure was divided into four distinct models. The findings of Model 1 highlight the significant impact of employee envy on service sabotage. The analysis in Model 2a shows that job dissatisfaction acts as a partial mediator in the employee envy and service sabotage linkage. On the other hand, Model 2b reveals self-performance as yet another partial mediator between envy-service sabotage relationships. In turn, Model 3 demonstrates that job dissatisfaction and self-performance play a serial mediation role in the envy-service sabotage relationship. In addition, our research shows that perceived employability effectively moderates the three proposed paths within these relationships. Our research structure was divided into four distinct models. The findings of Model 1 highlight the significant impact of employee envy on service sabotage. The analysis in Model 2a shows that job dissatisfaction acts as a partial mediator in the employee envy and service sabotage linkage. On the other hand, Model 2b reveals self-performance as yet another partial mediator between envy-service sabotage relationships. In turn, Model 3 demonstrates that job dissatisfaction and self-performance play a serial mediation role in the envy-service sabotage relationship. In addition, our research shows that perceived employability effectively moderates the three proposed paths within these relationships. Hotel managers must keep a close eye on their front-of-house staff to avoid any unintentional or direct interactions with customers. Equally important is the consistent and impartial treatment of all employees, which is an important consideration for managers to consider because it can help mitigate employee envy and job dissatisfaction. This study seeks to enhance understanding of SCT by emphasizing perceived employability as a boundary influencing the relationships between these factors and desired outcomes in the hotel industry, such as job dissatisfaction, self-performance and service sabotage. This paper is an initial attempt to investigate the underlying mechanisms in the relationship between envy and service sabotage.Does employee envy drive service sabotage? Evidence from hotel organizations
Muhammad Haroon Shoukat, Islam Elgammal, Mukaram Ali Khan, Kareem M. Selem
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Using the theoretical framework of social comparison theory (SCT), this study investigates the effects of employee envy on service sabotage behaviors in the hospitality industry. It further examines the complex dynamics of self-performance and job dissatisfaction in this context. Notably, this paper seeks to determine the potential moderating role of perceived employability in the interactions between service sabotage, employee envy, job dissatisfaction and self-performance.

Our research structure was divided into four distinct models. The findings of Model 1 highlight the significant impact of employee envy on service sabotage. The analysis in Model 2a shows that job dissatisfaction acts as a partial mediator in the employee envy and service sabotage linkage. On the other hand, Model 2b reveals self-performance as yet another partial mediator between envy-service sabotage relationships. In turn, Model 3 demonstrates that job dissatisfaction and self-performance play a serial mediation role in the envy-service sabotage relationship. In addition, our research shows that perceived employability effectively moderates the three proposed paths within these relationships.

Our research structure was divided into four distinct models. The findings of Model 1 highlight the significant impact of employee envy on service sabotage. The analysis in Model 2a shows that job dissatisfaction acts as a partial mediator in the employee envy and service sabotage linkage. On the other hand, Model 2b reveals self-performance as yet another partial mediator between envy-service sabotage relationships. In turn, Model 3 demonstrates that job dissatisfaction and self-performance play a serial mediation role in the envy-service sabotage relationship. In addition, our research shows that perceived employability effectively moderates the three proposed paths within these relationships.

Hotel managers must keep a close eye on their front-of-house staff to avoid any unintentional or direct interactions with customers. Equally important is the consistent and impartial treatment of all employees, which is an important consideration for managers to consider because it can help mitigate employee envy and job dissatisfaction.

This study seeks to enhance understanding of SCT by emphasizing perceived employability as a boundary influencing the relationships between these factors and desired outcomes in the hotel industry, such as job dissatisfaction, self-performance and service sabotage. This paper is an initial attempt to investigate the underlying mechanisms in the relationship between envy and service sabotage.

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Does employee envy drive service sabotage? Evidence from hotel organizations10.1108/K-06-2023-1092Kybernetes2024-01-30© 2024 Emerald Publishing LimitedMuhammad Haroon ShoukatIslam ElgammalMukaram Ali KhanKareem M. SelemKybernetesahead-of-printahead-of-print2024-01-3010.1108/K-06-2023-1092https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1092/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Does cycle superposition amplify bank liquidity risk under different levels of financial openness? Empirical evidence from Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1094/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to explore the impact of cycle superposition on bank liquidity risk under different levels of financial openness so that banks can better manage their liquidity risk. Meanwhile, it can also provide some ideas for banks in other emerging economies to better cope with the shocks of the global financial cycle. Employing the monthly data of 16 commercial banks in China from 2005 to 2021 and based on the time-varying parameter vector autoregressive model with stochastic volatility (TVP-SV-VAR) model, the authors first examine whether the cycle superposition can magnify the impact of China's financial cycle on bank liquidity risk. Subsequently, the authors investigate the impact of different levels of financial openness on cycle superposition amplification. Finally, the shock of the financial cycle of the world's major economies on the liquidity risk of Chinese banks is also empirically analyzed. Cycle superposition can magnify the impact of China's financial cycle on bank liquidity risk. However, there are significant differences under different levels of financial openness. Compared with low financial openness, in the period of high financial openness, the magnifying effect of cycle superposition is strengthened in the short term but obviously weakened in the long run. In addition, the authors' findings also demonstrate that although the United States is the main shock country, the influence of other developed economies, such as Japan and Eurozone countries, cannot be ignored. Firstly, the cycle superposition index is constructed. Secondly, the authors supplement the literature by providing evidence that the association between cycle superposition and bank liquidity risk also depends on financial openness. Finally, the dominant countries of the global financial cycle have been rejudged.Does cycle superposition amplify bank liquidity risk under different levels of financial openness? Empirical evidence from China
Huimin Jing, Yixin Zhu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to explore the impact of cycle superposition on bank liquidity risk under different levels of financial openness so that banks can better manage their liquidity risk. Meanwhile, it can also provide some ideas for banks in other emerging economies to better cope with the shocks of the global financial cycle.

Employing the monthly data of 16 commercial banks in China from 2005 to 2021 and based on the time-varying parameter vector autoregressive model with stochastic volatility (TVP-SV-VAR) model, the authors first examine whether the cycle superposition can magnify the impact of China's financial cycle on bank liquidity risk. Subsequently, the authors investigate the impact of different levels of financial openness on cycle superposition amplification. Finally, the shock of the financial cycle of the world's major economies on the liquidity risk of Chinese banks is also empirically analyzed.

Cycle superposition can magnify the impact of China's financial cycle on bank liquidity risk. However, there are significant differences under different levels of financial openness. Compared with low financial openness, in the period of high financial openness, the magnifying effect of cycle superposition is strengthened in the short term but obviously weakened in the long run. In addition, the authors' findings also demonstrate that although the United States is the main shock country, the influence of other developed economies, such as Japan and Eurozone countries, cannot be ignored.

Firstly, the cycle superposition index is constructed. Secondly, the authors supplement the literature by providing evidence that the association between cycle superposition and bank liquidity risk also depends on financial openness. Finally, the dominant countries of the global financial cycle have been rejudged.

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Does cycle superposition amplify bank liquidity risk under different levels of financial openness? Empirical evidence from China10.1108/K-06-2023-1094Kybernetes2023-12-13© 2023 Emerald Publishing LimitedHuimin JingYixin ZhuKybernetesahead-of-printahead-of-print2023-12-1310.1108/K-06-2023-1094https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1094/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Pricing strategy of knowledge payment products considering copyright supervision in the blockchain technology erahttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1109/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to investigate the pricing strategies for knowledge payment products, taking into account the quality level of pirated knowledge products, in the context of platform copyright supervision. This study abstracts the knowledge payment transaction process and aims to maximize producer's revenue by constructing a pricing model for knowledge payment products. It discusses pricing strategies for knowledge payment products under two scenarios: traditional supervision and blockchain supervision. The analysis explores the impact of pirated knowledge products quality level and blockchain technology on pricing strategies and consumer surplus, while providing threshold conditions for effective strategies. Deploying blockchain technology in platform operations can significantly reduce costs and increase efficiency. In both scenarios, knowledge producer needs to balance factors such as the quality of pirated knowledge products, the supervision level of platform, and consumer surplus to dynamically adjust pricing strategies in order to maximize his own revenue. This study enriches the literature on the pricing models of knowledge payment products and has practical significance in guiding knowledge producer to develop effective pricing strategies under copyright supervision.Pricing strategy of knowledge payment products considering copyright supervision in the blockchain technology era
Xiubin Gu, Yi Qu, Zhengkui Lin
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to investigate the pricing strategies for knowledge payment products, taking into account the quality level of pirated knowledge products, in the context of platform copyright supervision.

This study abstracts the knowledge payment transaction process and aims to maximize producer's revenue by constructing a pricing model for knowledge payment products. It discusses pricing strategies for knowledge payment products under two scenarios: traditional supervision and blockchain supervision. The analysis explores the impact of pirated knowledge products quality level and blockchain technology on pricing strategies and consumer surplus, while providing threshold conditions for effective strategies.

Deploying blockchain technology in platform operations can significantly reduce costs and increase efficiency. In both scenarios, knowledge producer needs to balance factors such as the quality of pirated knowledge products, the supervision level of platform, and consumer surplus to dynamically adjust pricing strategies in order to maximize his own revenue.

This study enriches the literature on the pricing models of knowledge payment products and has practical significance in guiding knowledge producer to develop effective pricing strategies under copyright supervision.

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Pricing strategy of knowledge payment products considering copyright supervision in the blockchain technology era10.1108/K-06-2023-1109Kybernetes2023-12-05© 2023 Emerald Publishing LimitedXiubin GuYi QuZhengkui LinKybernetesahead-of-printahead-of-print2023-12-0510.1108/K-06-2023-1109https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1109/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Dynamic control of pollution of municipal solid waste incinerationhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1114/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the study is to investigate strategies for enhancing pollution oversight by local governments while reducing government-enterprise collusion (GEC) levels. Additionally, the factors influencing pollution control efforts at incineration plants are explored. Potential approaches to improving them and for effectively reducing waste incineration pollution are suggested. The authors examined the most effective methods for mitigating incineration-related pollution and preventing collusion and developed a differential game model involving interactions between local governments and incineration plants. The findings of this work have significant policy implications for central governments worldwide seeking to regulate waste incineration practices. The results indicate that, first, elevating environmental assessment standards can incentivize local governments to improve their oversight efforts. Second, collusion between incineration plants and local governments can be deterred by transferring benefits from the plants to the local government, while increased supervision by the central government and the enforcement of penalties for collusion can also mitigate collusion. Third, both central and local governments can bolster their supervisory and penalty mechanisms for instances of excessive pollution, encouraging incineration plants to invest more in pollution control. Finally, when the central government finds it challenging to detect excessive incineration-related pollution, enhancing rewards and penalties at the local government level can be a viable alternative. This study stands out by considering the dynamic nature of pollutants. A differential game model is constructed which captures the evolving dynamics between local governments and incineration plants, offering insights regarding the prevention of collusion from a dynamic perspective. The findings may provide a valuable reference for governments as they develop and enforce regulations while motivating incineration plants to actively engage in reducing waste-incineration pollution.Dynamic control of pollution of municipal solid waste incineration
Hui Jie Li, Deqing Tan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the study is to investigate strategies for enhancing pollution oversight by local governments while reducing government-enterprise collusion (GEC) levels. Additionally, the factors influencing pollution control efforts at incineration plants are explored. Potential approaches to improving them and for effectively reducing waste incineration pollution are suggested.

The authors examined the most effective methods for mitigating incineration-related pollution and preventing collusion and developed a differential game model involving interactions between local governments and incineration plants. The findings of this work have significant policy implications for central governments worldwide seeking to regulate waste incineration practices.

The results indicate that, first, elevating environmental assessment standards can incentivize local governments to improve their oversight efforts. Second, collusion between incineration plants and local governments can be deterred by transferring benefits from the plants to the local government, while increased supervision by the central government and the enforcement of penalties for collusion can also mitigate collusion. Third, both central and local governments can bolster their supervisory and penalty mechanisms for instances of excessive pollution, encouraging incineration plants to invest more in pollution control. Finally, when the central government finds it challenging to detect excessive incineration-related pollution, enhancing rewards and penalties at the local government level can be a viable alternative.

This study stands out by considering the dynamic nature of pollutants. A differential game model is constructed which captures the evolving dynamics between local governments and incineration plants, offering insights regarding the prevention of collusion from a dynamic perspective. The findings may provide a valuable reference for governments as they develop and enforce regulations while motivating incineration plants to actively engage in reducing waste-incineration pollution.

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Dynamic control of pollution of municipal solid waste incineration10.1108/K-06-2023-1114Kybernetes2023-10-30© 2023 Emerald Publishing LimitedHui Jie LiDeqing TanKybernetesahead-of-printahead-of-print2023-10-3010.1108/K-06-2023-1114https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1114/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How does blockchain technology implementation affect the supply chain members' strategic decisions under the factory encroachment?https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1115/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestContract Manufacturers (CM, factory) can cultivate factory brand products by imitating Original Equipment Manufacturers' (OEM, brand owner) National Brand products, and compete with OEM through the online retailer, that is, factory encroachment. In practice, few consumers can identify the quality of those two products in the online market. Implementing blockchain technology (BTI) can help all consumers identify product quality but may change the operation decisions and incur implementation costs. This study aims to explore how will the BTI strategies affect participants' operation performance under the factory encroachment and delve into the decisions regarding NB product quality and CM encroachment. This study constructs a three-level outsourcing supply chain comprising one contract manufacturer (CM, factory), one original equipment manufacturer (OEM) and one online retailer. By utilizing the Stackelberg game, the authors first compared the results between two strategic decisions of BTI and no-BTI by online retailers under the factory encroachment scenario. Then, the NB product quality decision and the CM's encroachment decision are also investigated. BTI strategy can benefit all participants (triple win), which both occurs in exogenous and endogenous quality cases, and the triple win area will expand (shrink) as the BTI cost decreases (increases). In addition, the OEM will improve product quality to confront competition from the CM, and the OEM may not always benefit from the BTI, it depends on the maturity of the market. Interestingly, BTI could improve the consumer surplus when the proportion of novice consumers is low. Finally, this study also investigates the extended case that CM always encroaches into the market whether the online retailer choose BTI or not, which hurts OEM's profit and decreases the product quality. This study sheds light on the strategic decisions of online retailers' BTI regarding supply chain members' profits, consumer surplus and social welfare under factory encroachment. It also demonstrates that the BTI strategy, under different quality decisions (endogenous and exogenous), can be more profitable for chain members and consumers.How does blockchain technology implementation affect the supply chain members' strategic decisions under the factory encroachment?
Fan Ding, Zhangping Lu, Jingxian Chen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Contract Manufacturers (CM, factory) can cultivate factory brand products by imitating Original Equipment Manufacturers' (OEM, brand owner) National Brand products, and compete with OEM through the online retailer, that is, factory encroachment. In practice, few consumers can identify the quality of those two products in the online market. Implementing blockchain technology (BTI) can help all consumers identify product quality but may change the operation decisions and incur implementation costs. This study aims to explore how will the BTI strategies affect participants' operation performance under the factory encroachment and delve into the decisions regarding NB product quality and CM encroachment.

This study constructs a three-level outsourcing supply chain comprising one contract manufacturer (CM, factory), one original equipment manufacturer (OEM) and one online retailer. By utilizing the Stackelberg game, the authors first compared the results between two strategic decisions of BTI and no-BTI by online retailers under the factory encroachment scenario. Then, the NB product quality decision and the CM's encroachment decision are also investigated.

BTI strategy can benefit all participants (triple win), which both occurs in exogenous and endogenous quality cases, and the triple win area will expand (shrink) as the BTI cost decreases (increases). In addition, the OEM will improve product quality to confront competition from the CM, and the OEM may not always benefit from the BTI, it depends on the maturity of the market. Interestingly, BTI could improve the consumer surplus when the proportion of novice consumers is low. Finally, this study also investigates the extended case that CM always encroaches into the market whether the online retailer choose BTI or not, which hurts OEM's profit and decreases the product quality.

This study sheds light on the strategic decisions of online retailers' BTI regarding supply chain members' profits, consumer surplus and social welfare under factory encroachment. It also demonstrates that the BTI strategy, under different quality decisions (endogenous and exogenous), can be more profitable for chain members and consumers.

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How does blockchain technology implementation affect the supply chain members' strategic decisions under the factory encroachment?10.1108/K-06-2023-1115Kybernetes2023-11-14© 2023 Emerald Publishing LimitedFan DingZhangping LuJingxian ChenKybernetesahead-of-printahead-of-print2023-11-1410.1108/K-06-2023-1115https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1115/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
ChatGPT: a game changer for knowledge management in organizationshttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1126/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestGenerative AI and more specifically ChatGPT has brought a revolution in the lives  of people by providing them with required knowledge that it has learnt from an exponentially large knowledge base. In this viewpoint, we are initiating the debate and offer the first step towards Generative AI based knowledge management systems in organizations. This study is a viewpoint and develops a conceptual foundation using existing literature on how ChatGPT can enhance the KM capability based on Nonaka’s SECI model. It further supports the concept by collecting data from a public sector univesity in Hong Kong to strenghten our argument of ChatGPT mediated knowledge management system. We posit that all four processes, that is Socialization, Externalization, Combination and Internalization can significantly improve when integrated with ChatGPT. ChatGPT users are, in general, satisfied with the use of ChatGPT being capable of facilitating knowledge generation and flow in organizations. The study provides a conceptual foundation to further the knowledge on how ChatGPT can be integrated within organizations to enhance the knowledge management capability of organizations. Further, it develops an understanding on how managers and executives can use ChatGPT for effective knowledge management through improving the four processes of Nonaka’s SECI model. This is one of the earliest studies on the linkage of knowledge management with ChatGPT and lays a foundation for ChatGPT mediated knowledge management system in organizations.ChatGPT: a game changer for knowledge management in organizations
Muhammad Saleem Sumbal, Quratulain Amber
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Generative AI and more specifically ChatGPT has brought a revolution in the lives  of people by providing them with required knowledge that it has learnt from an exponentially large knowledge base. In this viewpoint, we are initiating the debate and offer the first step towards Generative AI based knowledge management systems in organizations.

This study is a viewpoint and develops a conceptual foundation using existing literature on how ChatGPT can enhance the KM capability based on Nonaka’s SECI model. It further supports the concept by collecting data from a public sector univesity in Hong Kong to strenghten our argument of ChatGPT mediated knowledge management system.

We posit that all four processes, that is Socialization, Externalization, Combination and Internalization can significantly improve when integrated with ChatGPT. ChatGPT users are, in general, satisfied with the use of ChatGPT being capable of facilitating knowledge generation and flow in organizations.

The study provides a conceptual foundation to further the knowledge on how ChatGPT can be integrated within organizations to enhance the knowledge management capability of organizations. Further, it develops an understanding on how managers and executives can use ChatGPT for effective knowledge management through improving the four processes of Nonaka’s SECI model.

This is one of the earliest studies on the linkage of knowledge management with ChatGPT and lays a foundation for ChatGPT mediated knowledge management system in organizations.

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ChatGPT: a game changer for knowledge management in organizations10.1108/K-06-2023-1126Kybernetes2024-02-21© 2024 Emerald Publishing LimitedMuhammad Saleem SumbalQuratulain AmberKybernetesahead-of-printahead-of-print2024-02-2110.1108/K-06-2023-1126https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1126/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Nexus between e-service quality and e-customer satisfaction through functional and hedonic values: case of online shopping in Pakistanhttps://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1146/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe concept of online shopping has been in vogue for the past two decades and is on the rise. Even developing countries like Pakistan are using electronic platforms to buy and sell goods and services, and the trend has been increasing ever since the COVID-19 pandemic. Drawing on the expectancy-disconfirmation theory, this study aims to test the e-service quality (E-SQ) and e-customer satisfaction (ECS) linkage with the mediating roles of functional values (FVs) and hedonic values (HVs). The data have been collected from 298 customers of AliExpress and Daraz e-commerce platforms and analyzed using covariance-based structural equation modeling (CB-SEM). The results of the study showed a significant positive relationship between E-SQ and ECS and indirect linkage through FVs and HVs have also been established. E-commerce platforms, particularly in Pakistan, should place a strong emphasis on FVs by providing accurate product details, user-friendly navigation, transparent pricing and streamlined transactions. Customers' trust and confidence will increase if they have a smooth and effective online purchasing experience. Customer satisfaction may be influenced by regular platform functionality and usability changes. The use of functional and HVs is considered to be a novel factor in testing the relationship between E-SQ and ECS.Nexus between e-service quality and e-customer satisfaction through functional and hedonic values: case of online shopping in Pakistan
Ishfaq Ahmad, Rida Akbar, Muhammad Ali Javed
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The concept of online shopping has been in vogue for the past two decades and is on the rise. Even developing countries like Pakistan are using electronic platforms to buy and sell goods and services, and the trend has been increasing ever since the COVID-19 pandemic. Drawing on the expectancy-disconfirmation theory, this study aims to test the e-service quality (E-SQ) and e-customer satisfaction (ECS) linkage with the mediating roles of functional values (FVs) and hedonic values (HVs).

The data have been collected from 298 customers of AliExpress and Daraz e-commerce platforms and analyzed using covariance-based structural equation modeling (CB-SEM).

The results of the study showed a significant positive relationship between E-SQ and ECS and indirect linkage through FVs and HVs have also been established.

E-commerce platforms, particularly in Pakistan, should place a strong emphasis on FVs by providing accurate product details, user-friendly navigation, transparent pricing and streamlined transactions. Customers' trust and confidence will increase if they have a smooth and effective online purchasing experience. Customer satisfaction may be influenced by regular platform functionality and usability changes.

The use of functional and HVs is considered to be a novel factor in testing the relationship between E-SQ and ECS.

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Nexus between e-service quality and e-customer satisfaction through functional and hedonic values: case of online shopping in Pakistan10.1108/K-06-2023-1146Kybernetes2023-11-07© 2023 Emerald Publishing LimitedIshfaq AhmadRida AkbarMuhammad Ali JavedKybernetesahead-of-printahead-of-print2023-11-0710.1108/K-06-2023-1146https://www.emerald.com/insight/content/doi/10.1108/K-06-2023-1146/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The generation of novelty by exaptation: searching for properties and dynamicshttps://www.emerald.com/insight/content/doi/10.1108/K-07-2019-0483/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to contribute to the understanding of novelty emergence in the context of an “off-line” open innovation system. Several contributions address novelty generation implying open innovation that is typically mediated by IT systems, while fewer address open innovation that takes place off-line, through new forms of collaboration happening in the so-called “physical spaces” and in widespread creativity contexts involving whole cities and territories. This research aims to clarify what the critical elements for novelty generation are, and how and why they interact in producing novelty. This paper presents the case study of the Blackshape, a high-tech start-up that has become the Italian symbol of a new bottom-up economy that is grounded on high-education, a mix of territorial competencies and young initiative, and produces the development or growth of territories experiencing present or foreseen economic retardation for various reasons. This is a case in which novelty is emergent and takes place through exaptation. The case is used to elaborate an inductive understanding of the process of novelty generation through exaptation and follows a “conceptual composition” format (Berends and Deken, 2019). This paper shows that initiatives building widespread creativity on the territory play a prominent role for emergent novelty generation, as they provide the context that sustains the efforts to keep on trying of entrepreneurs, welcomes unforeseen interaction and keeps interesting people on the territory that can be involved in random encounters. This paper adds that crucial contributions for the definition of the innovative project come from contributors that are expected to provide suggestions in other areas. Such prominent contributors are engaged in a sense “by mistake”, and here the randomness perceived by the actors experiencing it, because they are perceived to be able to provide some contributions, while they provide others that are more important to the project. This paper argues that such “perceived randomness” sustains a mechanism of selection of novelty generation partners that allows to go beyond the ability of actors themselves to design and foresee other actors’ contribution into the project. Finally, two other elements play a role: how the project is narrated, as well as, how the entrepreneurial team communicates their entrepreneurial competence for the project. This theoretical understanding builds on only one case study; further research might validate the critical role of our understanding of novelty generation elements and help develop their dynamics further. Many elements in our understanding of novelty generation have typically been understood as resulting from luck and randomness, leaving, therefore, very little hope to actors’ interest in supporting them. This paper claims that such elements and such dynamics can be sustained and novelty generation can indirectly be supported, for instance, by suggesting a high openness and sharing of one’s own project even to accidentally encountered actors, as one’s own ability to foresee how they might contribute to the project is very poor. This paper provides a tentative understanding of the elements and dynamics of novelty generation through exaptation building on theoretical elaboration that is inductively triggered and stimulated by empirical evidence.The generation of novelty by exaptation: searching for properties and dynamics
Maria Laura Frigotto, Pamela Palmi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to contribute to the understanding of novelty emergence in the context of an “off-line” open innovation system. Several contributions address novelty generation implying open innovation that is typically mediated by IT systems, while fewer address open innovation that takes place off-line, through new forms of collaboration happening in the so-called “physical spaces” and in widespread creativity contexts involving whole cities and territories. This research aims to clarify what the critical elements for novelty generation are, and how and why they interact in producing novelty.

This paper presents the case study of the Blackshape, a high-tech start-up that has become the Italian symbol of a new bottom-up economy that is grounded on high-education, a mix of territorial competencies and young initiative, and produces the development or growth of territories experiencing present or foreseen economic retardation for various reasons. This is a case in which novelty is emergent and takes place through exaptation. The case is used to elaborate an inductive understanding of the process of novelty generation through exaptation and follows a “conceptual composition” format (Berends and Deken, 2019).

This paper shows that initiatives building widespread creativity on the territory play a prominent role for emergent novelty generation, as they provide the context that sustains the efforts to keep on trying of entrepreneurs, welcomes unforeseen interaction and keeps interesting people on the territory that can be involved in random encounters. This paper adds that crucial contributions for the definition of the innovative project come from contributors that are expected to provide suggestions in other areas. Such prominent contributors are engaged in a sense “by mistake”, and here the randomness perceived by the actors experiencing it, because they are perceived to be able to provide some contributions, while they provide others that are more important to the project. This paper argues that such “perceived randomness” sustains a mechanism of selection of novelty generation partners that allows to go beyond the ability of actors themselves to design and foresee other actors’ contribution into the project. Finally, two other elements play a role: how the project is narrated, as well as, how the entrepreneurial team communicates their entrepreneurial competence for the project.

This theoretical understanding builds on only one case study; further research might validate the critical role of our understanding of novelty generation elements and help develop their dynamics further.

Many elements in our understanding of novelty generation have typically been understood as resulting from luck and randomness, leaving, therefore, very little hope to actors’ interest in supporting them. This paper claims that such elements and such dynamics can be sustained and novelty generation can indirectly be supported, for instance, by suggesting a high openness and sharing of one’s own project even to accidentally encountered actors, as one’s own ability to foresee how they might contribute to the project is very poor.

This paper provides a tentative understanding of the elements and dynamics of novelty generation through exaptation building on theoretical elaboration that is inductively triggered and stimulated by empirical evidence.

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The generation of novelty by exaptation: searching for properties and dynamics10.1108/K-07-2019-0483Kybernetes2020-04-18© 2020 Emerald Publishing LimitedMaria Laura FrigottoPamela PalmiKybernetesahead-of-printahead-of-print2020-04-1810.1108/K-07-2019-0483https://www.emerald.com/insight/content/doi/10.1108/K-07-2019-0483/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2020 Emerald Publishing Limited
Cybercrime's tendencies of the teenagers in the COVID-19 era: assessing the influence of mobile games, social networks and religious attitudeshttps://www.emerald.com/insight/content/doi/10.1108/K-07-2021-0582/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe teenager community is the most affected community by cybercrime in the COVID-19 era. Increasing social networks and facilitating teenager access to the Internet have increased the probability of cybercrimes. On the other hand, entertainment such as mobile and computer games is top-rated among teenagers. Teenagers' tendency to cybercrime may be influenced by individual, parent, social, economic and political factors. Studying the impact of social networks, mobile games and parents' religious attitudes on teenagers' tendency to cybercrimes in the COVID-19 era is the primary goal of this paper. The outbreak of COVID-19 caused a considerable change in the world and the lifestyle of all people. Information and Communication Technology (ICT) was also affected by the special conditions of this virus. Changes in ICT and rapid access to it have empowered individuals and organizations, and people have increased civic participation and interaction through ICT. However, the outbreak of COVID-19 has created new challenges for the government and citizens and may cause new crimes. Cybercrime is a type of crime that occurs in a cyber environment. These crimes range from invasions of privacy to crimes in which the offender vaguely paralyzes the macroeconomic. In this research, 265 students of high schools and universities are used for collecting data by utilizing a survey. Measuring actions have been done in all surveys employing a Likert scale. The causal pattern is assessed through a constructional equation modeling procedure to study the scheme's validity and reliability. The outcomes have indicated that social networks have no significant relationship with teenagers' tendency to cybercrimes in the COVID-19 era. Mobile games have a mild effect on teenagers' tendency to cybercrimes in the COVID-19 era, and parents' religious attitudes significantly impact teenagers' tendency to cybercrimes in the COVID-19 era. Current research also has some restrictions that must be noticed in assessing the outcomes. First, sample research was selected from high schools and universities in one city. So, the size of the model is small, and the generalization of results is limited. Second, this research may have ignored other variables that affect the tendency of teenagers' to cybercrime. Future researchers intend to investigate the parents' upbringing system's impact on teenager's trend to cybercrime in the COVID-19 era. Future research can also examine practical factors such as parental upbringing, attitudes toward technology development and virtual addiction in the COVID-19 era. In this study, teenagers' tendency to cybercrimes in the COVID-19 era is investigated, and a procedure is applied depending on a practical occasion. This article's offered sample provides a perfect framework for influencing parents' social networks, mobile games and religious attitudes on teenagers' tendency to cybercrimes in the COVID-19 era.Cybercrime's tendencies of the teenagers in the COVID-19 era: assessing the influence of mobile games, social networks and religious attitudes
Yang Li, Jiaze Li, Qi Fan, Zhihong Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The teenager community is the most affected community by cybercrime in the COVID-19 era. Increasing social networks and facilitating teenager access to the Internet have increased the probability of cybercrimes. On the other hand, entertainment such as mobile and computer games is top-rated among teenagers. Teenagers' tendency to cybercrime may be influenced by individual, parent, social, economic and political factors. Studying the impact of social networks, mobile games and parents' religious attitudes on teenagers' tendency to cybercrimes in the COVID-19 era is the primary goal of this paper.

The outbreak of COVID-19 caused a considerable change in the world and the lifestyle of all people. Information and Communication Technology (ICT) was also affected by the special conditions of this virus. Changes in ICT and rapid access to it have empowered individuals and organizations, and people have increased civic participation and interaction through ICT. However, the outbreak of COVID-19 has created new challenges for the government and citizens and may cause new crimes. Cybercrime is a type of crime that occurs in a cyber environment. These crimes range from invasions of privacy to crimes in which the offender vaguely paralyzes the macroeconomic. In this research, 265 students of high schools and universities are used for collecting data by utilizing a survey. Measuring actions have been done in all surveys employing a Likert scale. The causal pattern is assessed through a constructional equation modeling procedure to study the scheme's validity and reliability.

The outcomes have indicated that social networks have no significant relationship with teenagers' tendency to cybercrimes in the COVID-19 era. Mobile games have a mild effect on teenagers' tendency to cybercrimes in the COVID-19 era, and parents' religious attitudes significantly impact teenagers' tendency to cybercrimes in the COVID-19 era.

Current research also has some restrictions that must be noticed in assessing the outcomes. First, sample research was selected from high schools and universities in one city. So, the size of the model is small, and the generalization of results is limited. Second, this research may have ignored other variables that affect the tendency of teenagers' to cybercrime. Future researchers intend to investigate the parents' upbringing system's impact on teenager's trend to cybercrime in the COVID-19 era. Future research can also examine practical factors such as parental upbringing, attitudes toward technology development and virtual addiction in the COVID-19 era.

In this study, teenagers' tendency to cybercrimes in the COVID-19 era is investigated, and a procedure is applied depending on a practical occasion. This article's offered sample provides a perfect framework for influencing parents' social networks, mobile games and religious attitudes on teenagers' tendency to cybercrimes in the COVID-19 era.

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Cybercrime's tendencies of the teenagers in the COVID-19 era: assessing the influence of mobile games, social networks and religious attitudes10.1108/K-07-2021-0582Kybernetes2022-01-17© 2021 Emerald Publishing LimitedYang LiJiaze LiQi FanZhihong WangKybernetesahead-of-printahead-of-print2022-01-1710.1108/K-07-2021-0582https://www.emerald.com/insight/content/doi/10.1108/K-07-2021-0582/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
A pricing and transshipment hybrid strategy for perishable product in two external scenarios for supply disruptionhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2022-0918/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDifferent external supply scenarios faced by the retailers will affect their choice of strategy when supply is disrupted and becomes far less than demand, urgently. This study focuses on analyzing both demand and supply side response strategies to meet customer demand and reduce the impact of the shortage during supply disruptions. According to the quantity of products that the external market can provide, the external supply scenarios were divided into sufficient-type external supply and learning-type external supply. A two-echelon perishable goods supply chain was analyzed, and three kinds of contingency strategy models for downstream retailers were investigated. First, in the sufficient external supply scenario, the optimal price and transshipment quantity to maximize retailer's profits is discussed. Second, in the scenario of learning-type external supply, this study analyzes the optimal decision in three mechanisms of the hybrid strategy and their application: price priority mechanism, quantity priority mechanism and price–quantity balance mechanism. Furthermore, the influence of penalty cost and supply on the priority orders of different mechanisms was studied. Results show that comparing the two pure strategies (pricing strategy and transshipment strategy)it was noted that the hybrid strategy produces the best results in sufficient-type external supply scenario. In the learning-type external supply scenario, a numerical study has shown the existence of three areas in case of penalty cost and supplier's capacity, and each areas has different priority orders of the three mechanisms. Under the situation of learning external supply, the retailer's optimal strategy is affected by parameters such as penalty cost and supply volume. The main innovation of the work lies in the following: First; the external supply situation was divided into sufficiency type and learning type, which improves the external situation faced by retailers after the outbreak of emergencies, helps retailers understand the external situation, conforms to the actual situation and has certain practical application value. Second; in the context of learning external supply, there are three coping strategies for retailers, including: Price priority mechanism, Quantity priority mechanism and Pricing and transshipment balance mechanism. This will help retailers make strategic choices, make more scientific management decisions and improve the supply chain emergency management theory. Third; the demand side response was managed through the change of external supply during supply side recovery period and supply disruption. The proposed model enables managing and analyzing supply disruption efficiently and effectively via handling uncertainty by considering all aspects of decision-making process. The proposed model can be applied in various fields such as vegetable and fruit, fresh food, etc.A pricing and transshipment hybrid strategy for perishable product in two external scenarios for supply disruption
Qi Sun, Yaya Gao, Qihui Lu, Yingyi Yan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Different external supply scenarios faced by the retailers will affect their choice of strategy when supply is disrupted and becomes far less than demand, urgently. This study focuses on analyzing both demand and supply side response strategies to meet customer demand and reduce the impact of the shortage during supply disruptions.

According to the quantity of products that the external market can provide, the external supply scenarios were divided into sufficient-type external supply and learning-type external supply. A two-echelon perishable goods supply chain was analyzed, and three kinds of contingency strategy models for downstream retailers were investigated. First, in the sufficient external supply scenario, the optimal price and transshipment quantity to maximize retailer's profits is discussed. Second, in the scenario of learning-type external supply, this study analyzes the optimal decision in three mechanisms of the hybrid strategy and their application: price priority mechanism, quantity priority mechanism and price–quantity balance mechanism. Furthermore, the influence of penalty cost and supply on the priority orders of different mechanisms was studied.

Results show that comparing the two pure strategies (pricing strategy and transshipment strategy)it was noted that the hybrid strategy produces the best results in sufficient-type external supply scenario. In the learning-type external supply scenario, a numerical study has shown the existence of three areas in case of penalty cost and supplier's capacity, and each areas has different priority orders of the three mechanisms. Under the situation of learning external supply, the retailer's optimal strategy is affected by parameters such as penalty cost and supply volume.

The main innovation of the work lies in the following: First; the external supply situation was divided into sufficiency type and learning type, which improves the external situation faced by retailers after the outbreak of emergencies, helps retailers understand the external situation, conforms to the actual situation and has certain practical application value. Second; in the context of learning external supply, there are three coping strategies for retailers, including: Price priority mechanism, Quantity priority mechanism and Pricing and transshipment balance mechanism. This will help retailers make strategic choices, make more scientific management decisions and improve the supply chain emergency management theory. Third; the demand side response was managed through the change of external supply during supply side recovery period and supply disruption. The proposed model enables managing and analyzing supply disruption efficiently and effectively via handling uncertainty by considering all aspects of decision-making process. The proposed model can be applied in various fields such as vegetable and fruit, fresh food, etc.

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A pricing and transshipment hybrid strategy for perishable product in two external scenarios for supply disruption10.1108/K-07-2022-0918Kybernetes2023-03-17© 2023 Emerald Publishing LimitedQi SunYaya GaoQihui LuYingyi YanKybernetesahead-of-printahead-of-print2023-03-1710.1108/K-07-2022-0918https://www.emerald.com/insight/content/doi/10.1108/K-07-2022-0918/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
What price Romania has to pay for being one of the main providers of physicians in Europe?https://www.emerald.com/insight/content/doi/10.1108/K-07-2022-0931/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe migration of physicians is a global interest, causing imbalances between developed and developing countries. Romania is one of Europe's major providers of physicians, not because there is a surplus, but because physicians are drawn to places with better living and working conditions. Medicine in Romania is increasingly highly advanced, and Romanian physicians are well appreciated all over the world. Despite being one of the countries with the most medical graduates in the world, Romania is suffering a doctor exodus. After joining the EU, the problem of physician migration became widespread, resulting in a deficient and inefficient healthcare system. Therefore, the purpose of this study is to estimate the losses registered by Romania because of physicians' decision to migrate. These losses were calculated in two ways: utilizing the statistical life value and the amount of money invested in training a medical graduate. According to the findings, the losses in 2018 were 104.16 million euros, approximately 0.12% of GDP. The originality of this paper consists in data, being provided by the College of Physicians from Romania and the method used, this study being the only one that estimates the cost of Romanian physicians' migration. The paper adds to existing knowledge an empirical results regarding quantifying the value reflecting the departure of physicians, using value of statistical life and the amount of money invested in preparing a medical graduate.What price Romania has to pay for being one of the main providers of physicians in Europe?
Simona Andreea Apostu, Bulent Akkaya
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The migration of physicians is a global interest, causing imbalances between developed and developing countries. Romania is one of Europe's major providers of physicians, not because there is a surplus, but because physicians are drawn to places with better living and working conditions. Medicine in Romania is increasingly highly advanced, and Romanian physicians are well appreciated all over the world. Despite being one of the countries with the most medical graduates in the world, Romania is suffering a doctor exodus. After joining the EU, the problem of physician migration became widespread, resulting in a deficient and inefficient healthcare system. Therefore, the purpose of this study is to estimate the losses registered by Romania because of physicians' decision to migrate.

These losses were calculated in two ways: utilizing the statistical life value and the amount of money invested in training a medical graduate.

According to the findings, the losses in 2018 were 104.16 million euros, approximately 0.12% of GDP.

The originality of this paper consists in data, being provided by the College of Physicians from Romania and the method used, this study being the only one that estimates the cost of Romanian physicians' migration. The paper adds to existing knowledge an empirical results regarding quantifying the value reflecting the departure of physicians, using value of statistical life and the amount of money invested in preparing a medical graduate.

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What price Romania has to pay for being one of the main providers of physicians in Europe?10.1108/K-07-2022-0931Kybernetes2023-02-28© 2023 Emerald Publishing LimitedSimona Andreea ApostuBulent AkkayaKybernetesahead-of-printahead-of-print2023-02-2810.1108/K-07-2022-0931https://www.emerald.com/insight/content/doi/10.1108/K-07-2022-0931/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Manufacturer encroachment in the presence of the store-brandhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2022-0947/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to identify the conditions under which encroachment is a viable strategy for a manufacturer to gain competitive advantage and achieve higher profitability in the presence of the store-brand. This paper proposes game-theoretic models in a two-echelon supply chain consisting of a manufacturer (him) and a retailer (her), in which he distributes his national brand through the retailer, and endogenously determines whether to establish a new direct sales channel to sell the national brand when the retailer introduces her store-brand. Analytical results show that the bar for the manufacturer to encroach the end market in the presence of the store-brand is always higher than that for him to encroach in the absence of the store-brand. Although incurring channel competition, encroaching with the national brand in the presence of the retailer's store-brand can lead to either a win-lose or win-win result for the manufacturer and the retailer. Numerical studies claim that, higher brand substitution can push down the retailer's enthusiasm to introduce her new brand. Counterintuitively, when the retailer introduces her store-brand, higher brand substitution does not necessarily push up the manufacturer's enthusiasm to respond with national-brand encroachment. When consumer preferences for the two brands are heterogeneous, a higher consumer preference for the retailer's store-brand results in the retailer's higher enthusiasm to introduce her store-brand and the manufacturer's lower enthusiasm to encroach with his national brand. This study can help researchers to better understand the retailer's store-brand introduction, manufacturer encroachment and their interaction theoretically, and further provide decision support for enterprises to choose brand and channel strategies in practice.Manufacturer encroachment in the presence of the store-brand
Jiaquan Yang, Jinyu Fang, Jiafu Su
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to identify the conditions under which encroachment is a viable strategy for a manufacturer to gain competitive advantage and achieve higher profitability in the presence of the store-brand.

This paper proposes game-theoretic models in a two-echelon supply chain consisting of a manufacturer (him) and a retailer (her), in which he distributes his national brand through the retailer, and endogenously determines whether to establish a new direct sales channel to sell the national brand when the retailer introduces her store-brand.

Analytical results show that the bar for the manufacturer to encroach the end market in the presence of the store-brand is always higher than that for him to encroach in the absence of the store-brand. Although incurring channel competition, encroaching with the national brand in the presence of the retailer's store-brand can lead to either a win-lose or win-win result for the manufacturer and the retailer. Numerical studies claim that, higher brand substitution can push down the retailer's enthusiasm to introduce her new brand. Counterintuitively, when the retailer introduces her store-brand, higher brand substitution does not necessarily push up the manufacturer's enthusiasm to respond with national-brand encroachment. When consumer preferences for the two brands are heterogeneous, a higher consumer preference for the retailer's store-brand results in the retailer's higher enthusiasm to introduce her store-brand and the manufacturer's lower enthusiasm to encroach with his national brand.

This study can help researchers to better understand the retailer's store-brand introduction, manufacturer encroachment and their interaction theoretically, and further provide decision support for enterprises to choose brand and channel strategies in practice.

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Manufacturer encroachment in the presence of the store-brand10.1108/K-07-2022-0947Kybernetes2023-03-27© 2023 Emerald Publishing LimitedJiaquan YangJinyu FangJiafu SuKybernetesahead-of-printahead-of-print2023-03-2710.1108/K-07-2022-0947https://www.emerald.com/insight/content/doi/10.1108/K-07-2022-0947/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Board gender diversity and sustainability reporting quality: a generalized ordered logit approachhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2022-0963/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith growing environmental and social issues worldwide, sustainability disclosures and reporting have become a focal point of discussion. This study aims to investigate the role played by gender diversity in sustainability disclosures in the context of India, over a period of eight years. The study devises a unique sustainability reporting quality index and employs the generalized ordered logit model, which ensures that results are parsimonious even if the assumptions under a logit model are violated. The results suggest that with an increase in the percentage of women directors and the number of independent women directors on board, the sustainability reporting quality is likely to improve. The results of the study shall play a significant role for the corporate houses established in India, as it encourages them to modify their directors' selection process and ensure that women are able to break the “glass ceiling” to reach the upper echelon in the firms. The study gives an insight into the role played by women directors in sustainability reporting quality aspect, and therefore, the regulatory bodies, as well as policymakers of the Indian economy, shall formulate such regulations which can advance the presence of women on the board and in the decision-making process. This study is among the first to investigate the relationship between gender diversity and sustainability reporting quality using the generalized ordered logit model which is an improvement over the previously used techniques. Moreover, the unique cultural and institutional setting offered by India, which is an emerging economy, provides a fertile ground for understanding the role of women leaders in the workforce.Board gender diversity and sustainability reporting quality: a generalized ordered logit approach
Shubham Singhania, Jagvinder Singh, Deepti Aggrawal, Sudhir Rana
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

With growing environmental and social issues worldwide, sustainability disclosures and reporting have become a focal point of discussion. This study aims to investigate the role played by gender diversity in sustainability disclosures in the context of India, over a period of eight years.

The study devises a unique sustainability reporting quality index and employs the generalized ordered logit model, which ensures that results are parsimonious even if the assumptions under a logit model are violated.

The results suggest that with an increase in the percentage of women directors and the number of independent women directors on board, the sustainability reporting quality is likely to improve.

The results of the study shall play a significant role for the corporate houses established in India, as it encourages them to modify their directors' selection process and ensure that women are able to break the “glass ceiling” to reach the upper echelon in the firms.

The study gives an insight into the role played by women directors in sustainability reporting quality aspect, and therefore, the regulatory bodies, as well as policymakers of the Indian economy, shall formulate such regulations which can advance the presence of women on the board and in the decision-making process.

This study is among the first to investigate the relationship between gender diversity and sustainability reporting quality using the generalized ordered logit model which is an improvement over the previously used techniques. Moreover, the unique cultural and institutional setting offered by India, which is an emerging economy, provides a fertile ground for understanding the role of women leaders in the workforce.

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Board gender diversity and sustainability reporting quality: a generalized ordered logit approach10.1108/K-07-2022-0963Kybernetes2023-04-18© 2023 Emerald Publishing LimitedShubham SinghaniaJagvinder SinghDeepti AggrawalSudhir RanaKybernetesahead-of-printahead-of-print2023-04-1810.1108/K-07-2022-0963https://www.emerald.com/insight/content/doi/10.1108/K-07-2022-0963/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Resilient banking: model-based assessment of business continuity policies on commercial bankshttps://www.emerald.com/insight/content/doi/10.1108/K-07-2022-0981/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestCommercial banks face several risks, including credit, liquidity, operational and disruptive risks. In addition to these risks that are challenging for banks to control and manage, crises and disasters can exert substantially more destructive shocks. These shocks can exacerbate internal risks and cause severe damage to the bank's performance, leading banks to bankruptcy and closure. This study aims to facilitate achieving resilient banking policies through a model-based assessment of business continuity management (BCM) policies. By applying a system dynamics (SD) methodology, a systemic model that includes a causal structure of the banking business is presented. To build a simulation model, data are collected from a commercial bank in Iran. By presenting the simulation model of the bank's business, the consequences of some given crises on the bank's performance are tested, and the effectiveness of risk and crisis management policies is evaluated. Vensim Personal Learning Edition (PLE) software is used to construct the simulation model. Results indicate that the current BCM policies do not show appropriate resilience in the face of various crises. Commercial banks cannot create sustainable value for the banks' shareholders despite the possibility of profitability, as the shareholders lack adequate resilience and soundness. These commercial banks do not have the appropriate resilience for the next pandemic after coronavirus disease 2019 (COVID-19). Moreover, the robustness of the current banking business model is very fragile for the banking run crisis. A forward-looking view of resilient banking can be obtained by combining liquidity coverage, stable funding, capital adequacy and insights from stress tests. Resilient banking requires a balanced combination of robustness, soundness and profitability. The present study is a combination of bank business management, risk and resilience management and SD simulation. This approach can analyze and simulate the dynamics of bank resilience. Additionally, present of a decision support system (DSS) to analyze and simulate the outcomes of different crisis management policies and solutions is an innovative approach to developing effective and resilient banking policies.Resilient banking: model-based assessment of business continuity policies on commercial banks
Mahdi Bastan, Reza Tavakkoli-Moghaddam, Ali Bozorgi-Amiri
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Commercial banks face several risks, including credit, liquidity, operational and disruptive risks. In addition to these risks that are challenging for banks to control and manage, crises and disasters can exert substantially more destructive shocks. These shocks can exacerbate internal risks and cause severe damage to the bank's performance, leading banks to bankruptcy and closure. This study aims to facilitate achieving resilient banking policies through a model-based assessment of business continuity management (BCM) policies.

By applying a system dynamics (SD) methodology, a systemic model that includes a causal structure of the banking business is presented. To build a simulation model, data are collected from a commercial bank in Iran. By presenting the simulation model of the bank's business, the consequences of some given crises on the bank's performance are tested, and the effectiveness of risk and crisis management policies is evaluated. Vensim Personal Learning Edition (PLE) software is used to construct the simulation model.

Results indicate that the current BCM policies do not show appropriate resilience in the face of various crises. Commercial banks cannot create sustainable value for the banks' shareholders despite the possibility of profitability, as the shareholders lack adequate resilience and soundness. These commercial banks do not have the appropriate resilience for the next pandemic after coronavirus disease 2019 (COVID-19). Moreover, the robustness of the current banking business model is very fragile for the banking run crisis.

A forward-looking view of resilient banking can be obtained by combining liquidity coverage, stable funding, capital adequacy and insights from stress tests. Resilient banking requires a balanced combination of robustness, soundness and profitability.

The present study is a combination of bank business management, risk and resilience management and SD simulation. This approach can analyze and simulate the dynamics of bank resilience. Additionally, present of a decision support system (DSS) to analyze and simulate the outcomes of different crisis management policies and solutions is an innovative approach to developing effective and resilient banking policies.

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Resilient banking: model-based assessment of business continuity policies on commercial banks10.1108/K-07-2022-0981Kybernetes2023-08-30© 2023 Emerald Publishing LimitedMahdi BastanReza Tavakkoli-MoghaddamAli Bozorgi-AmiriKybernetesahead-of-printahead-of-print2023-08-3010.1108/K-07-2022-0981https://www.emerald.com/insight/content/doi/10.1108/K-07-2022-0981/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Rating pressure factors affecting logistics systems during the pandemic and the ideal logistic decision selection under the Pythagorean fuzzy environmenthttps://www.emerald.com/insight/content/doi/10.1108/K-07-2022-1007/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDue to the current pandemic, the importance of logistics functions and decisions is well understood both at the level of companies and users. Logistics systems and related decisions are of vital importance in making supply chains effective, efficient and without disruption. Logistic pressure factors may emerge at different points along the logistics process, and given the role of logistics decisions as one of the important indicators of competitiveness, the determination of the logistics pressures that are likely to increase the costs of business, and their causative factors are a vital aspect of the logistics decision-making process. The study aims to provide assistance in the selection of the most ideal logistics decision by ranking the pressure factors affecting the logistics system, especially during the pandemic period for logistics enterprises operating in Ordu and Giresun provinces and which have a corporate identity. In this study, it is aimed to make the most ideal logistics decision selection by ranking the pressure factors affecting the logistics system, especially during the pandemic period for the logistics enterprises operating in Ordu and Giresun provinces and having a corporate identity. For that purpose interval-valued Pythagorean fuzzy (IVPF)–analytic hierarchy process (AHP) based combinative distance-based assessment (CODAS) methodology was used. Additionally sensitivity and comparison analysis were discussed. Competitive pressure was found as the most important pressure factor affecting the logistics system during the pandemic period. Change in regulatory rules was the pressure factor found to have the least effect on the logistics system. Using the weights of logistics pressure factors, “Operational Decisions” was found to be the most ideal logistics decision selection. The findings provide support for the evaluation of logistical pressures and decision options by presenting a decision model capable of processing ambiguous information. During a pandemic or similar period, the study assists decision makers in determining a new route. The findings will also call business managers' attention to logistical pressure factors and lead them toward more realistic and feasible practices in the logistics decision-making process. This study provided an effective and applicable solution to a decision-making problem in the logistics sector including logistics pressure factors and the selection of logistics decisions. In this context, a methodology was presented that will allow businesses to self-evaluate their own logistics pressure factors and the selection of optimal solutions.Rating pressure factors affecting logistics systems during the pandemic and the ideal logistic decision selection under the Pythagorean fuzzy environment
Arunodaya Raj Mishra, Mustafa Ergün, Basil Oluoch Okoth, Selçuk Korucuk, Ahmet Aytekin, Çağlar Karamaşa
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Due to the current pandemic, the importance of logistics functions and decisions is well understood both at the level of companies and users. Logistics systems and related decisions are of vital importance in making supply chains effective, efficient and without disruption. Logistic pressure factors may emerge at different points along the logistics process, and given the role of logistics decisions as one of the important indicators of competitiveness, the determination of the logistics pressures that are likely to increase the costs of business, and their causative factors are a vital aspect of the logistics decision-making process. The study aims to provide assistance in the selection of the most ideal logistics decision by ranking the pressure factors affecting the logistics system, especially during the pandemic period for logistics enterprises operating in Ordu and Giresun provinces and which have a corporate identity.

In this study, it is aimed to make the most ideal logistics decision selection by ranking the pressure factors affecting the logistics system, especially during the pandemic period for the logistics enterprises operating in Ordu and Giresun provinces and having a corporate identity. For that purpose interval-valued Pythagorean fuzzy (IVPF)–analytic hierarchy process (AHP) based combinative distance-based assessment (CODAS) methodology was used. Additionally sensitivity and comparison analysis were discussed.

Competitive pressure was found as the most important pressure factor affecting the logistics system during the pandemic period. Change in regulatory rules was the pressure factor found to have the least effect on the logistics system. Using the weights of logistics pressure factors, “Operational Decisions” was found to be the most ideal logistics decision selection.

The findings provide support for the evaluation of logistical pressures and decision options by presenting a decision model capable of processing ambiguous information. During a pandemic or similar period, the study assists decision makers in determining a new route. The findings will also call business managers' attention to logistical pressure factors and lead them toward more realistic and feasible practices in the logistics decision-making process.

This study provided an effective and applicable solution to a decision-making problem in the logistics sector including logistics pressure factors and the selection of logistics decisions. In this context, a methodology was presented that will allow businesses to self-evaluate their own logistics pressure factors and the selection of optimal solutions.

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Rating pressure factors affecting logistics systems during the pandemic and the ideal logistic decision selection under the Pythagorean fuzzy environment10.1108/K-07-2022-1007Kybernetes2023-03-17© 2023 Emerald Publishing LimitedArunodaya Raj MishraMustafa ErgünBasil Oluoch OkothSelçuk KorucukAhmet AytekinÇağlar KaramaşaKybernetesahead-of-printahead-of-print2023-03-1710.1108/K-07-2022-1007https://www.emerald.com/insight/content/doi/10.1108/K-07-2022-1007/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Operational decisions of low-carbon supply chains with triple bottom line under carbon tax policyhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2022-1055/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUnder the carbon tax policy, the authors examine the operational decisions of the low-carbon supply chain with the triple bottom line. This paper uses the Stackelberg game theory to obtain the optimal wholesale prices, retail prices, sales quantities and carbon emissions in different cases, and investigates the effect of the carbon tax policy. This study’s main results are as follows: (1) the optimal retail price of the centralized supply chain is the lowest, while that of the decentralized supply chain where the manufacturer undertakes the carbon emission reduction (CER) responsibility and the corporate social responsibility (CSR) is the highest under certain conditions. (2) The sales quantity when the retailer undertakes the CER responsibility and the CSR is the largest. (3) The supply chain obtains the highest profits when the retailer undertakes the CER responsibility and the CSR. (4) The environmental performance impact decreases with the carbon tax. The results of this study can provide decision-making suggestions for low-carbon supply chains. Besides, this paper provides implications for the government to promote the low-carbon market. Most of the existing studies only consider economic responsibility and social responsibility or only consider economic responsibility and environmental responsibility. This paper is the first study that examines the operational decisions of low-carbon supply chains with the triple bottom line under the carbon tax policy.Operational decisions of low-carbon supply chains with triple bottom line under carbon tax policy
Peng Ma, Yujia Lu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Under the carbon tax policy, the authors examine the operational decisions of the low-carbon supply chain with the triple bottom line.

This paper uses the Stackelberg game theory to obtain the optimal wholesale prices, retail prices, sales quantities and carbon emissions in different cases, and investigates the effect of the carbon tax policy.

This study’s main results are as follows: (1) the optimal retail price of the centralized supply chain is the lowest, while that of the decentralized supply chain where the manufacturer undertakes the carbon emission reduction (CER) responsibility and the corporate social responsibility (CSR) is the highest under certain conditions. (2) The sales quantity when the retailer undertakes the CER responsibility and the CSR is the largest. (3) The supply chain obtains the highest profits when the retailer undertakes the CER responsibility and the CSR. (4) The environmental performance impact decreases with the carbon tax.

The results of this study can provide decision-making suggestions for low-carbon supply chains. Besides, this paper provides implications for the government to promote the low-carbon market.

Most of the existing studies only consider economic responsibility and social responsibility or only consider economic responsibility and environmental responsibility. This paper is the first study that examines the operational decisions of low-carbon supply chains with the triple bottom line under the carbon tax policy.

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Operational decisions of low-carbon supply chains with triple bottom line under carbon tax policy10.1108/K-07-2022-1055Kybernetes2023-03-28© 2023 Emerald Publishing LimitedPeng MaYujia LuKybernetesahead-of-printahead-of-print2023-03-2810.1108/K-07-2022-1055https://www.emerald.com/insight/content/doi/10.1108/K-07-2022-1055/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain managementhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2022-1057/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM). The factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM). A total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM. This research has taken up the case of Indian manufacturing industry. It can be diversified to other geographical areas and industry sectors. Further, the quantitative analysis may be undertaken with structured or semi-structured interviews for validation of the proposed model. This research provides an insight to managers regarding the implementation of BDA in SSCM by identifying and examining the influencing factors. The results may be useful for managers for the implementation of BDA and budget allocation for BDA project. The result includes green practices and environmental performance as critical factors for the implementation of BDA in SSCM. Thus the research establishes a positive relationship between BDA and sustainable manufacturing that ultimately benefits the environment and society. This research addresses the challenges in the implementation of BDA in SSCM in Indian manufacturing sector, where such application is at its nascent stage. The use of PESTEL framework for identifying and categorizing the factors makes the study more worthwhile, as it covers full spectrum of the various factors that affect the strategic business decisions.An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management
Dhanraj P. Tambuskar, Prashant Jain, Vaibhav S. Narwane
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

With big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM).

The factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM).

A total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM.

This research has taken up the case of Indian manufacturing industry. It can be diversified to other geographical areas and industry sectors. Further, the quantitative analysis may be undertaken with structured or semi-structured interviews for validation of the proposed model.

This research provides an insight to managers regarding the implementation of BDA in SSCM by identifying and examining the influencing factors. The results may be useful for managers for the implementation of BDA and budget allocation for BDA project.

The result includes green practices and environmental performance as critical factors for the implementation of BDA in SSCM. Thus the research establishes a positive relationship between BDA and sustainable manufacturing that ultimately benefits the environment and society.

This research addresses the challenges in the implementation of BDA in SSCM in Indian manufacturing sector, where such application is at its nascent stage. The use of PESTEL framework for identifying and categorizing the factors makes the study more worthwhile, as it covers full spectrum of the various factors that affect the strategic business decisions.

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An exploration into the factors influencing the implementation of big data analytics in sustainable supply chain management10.1108/K-07-2022-1057Kybernetes2023-02-27© 2023 Emerald Publishing LimitedDhanraj P. TambuskarPrashant JainVaibhav S. NarwaneKybernetesahead-of-printahead-of-print2023-02-2710.1108/K-07-2022-1057https://www.emerald.com/insight/content/doi/10.1108/K-07-2022-1057/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Private brand introduction and selling mode decision when considering risk aversionhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1178/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to study the interplay between a risk-averse national brand manufacturer's (NBM) selling mode decision and a risk-neutral e-platform's private brand (PB) introduction decision. A game theory model is used to solve selling mode decision, that is whether transform the selling mode from the wholesale mode to the marketplace mode, and PB introduction decision, that is, whether introduce the PB. The results show that for the NBM, under certain condition, the NBM's selling mode decision is not affected by the e-platform's PB introduction decision. High revenue-sharing rate is conducive only when the difference in consumer preference between the PB and the national brand (NB) is small. The NBM's risk aversion will improve the applicability of the marketplace mode. For the e-platform, high PB preference of consumers and risk-averse behavior of the NBM is not conducive to PB introduction. For the supply chain, scenarios that the NB monopolizes the market under the wholesale mode and PB introduction under the marketplace mode should be prevented. PB introduction under the wholesale mode will become the only equilibrium with the increase of risk aversion of the NBM. Finally, the authors extend the scenario that consumers prefer the PB and the e-platform is risk-averse enterprise and find that PB introduction under the wholesale mode is detrimental to the NBM but beneficial to the supply chain. The impact of consumers' PB preference on the e-platform's PB introduction is opposite to the basic model. The impact of the e-platform's risk aversion on game equilibrium is opposite to that of the NBM's risk aversion. This paper is first to study selling mode decision and PB introduction decision when considering enterprises' risk-averse attitude.Private brand introduction and selling mode decision when considering risk aversion
Lubing Lyu, Haixia Zhao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to study the interplay between a risk-averse national brand manufacturer's (NBM) selling mode decision and a risk-neutral e-platform's private brand (PB) introduction decision.

A game theory model is used to solve selling mode decision, that is whether transform the selling mode from the wholesale mode to the marketplace mode, and PB introduction decision, that is, whether introduce the PB.

The results show that for the NBM, under certain condition, the NBM's selling mode decision is not affected by the e-platform's PB introduction decision. High revenue-sharing rate is conducive only when the difference in consumer preference between the PB and the national brand (NB) is small. The NBM's risk aversion will improve the applicability of the marketplace mode. For the e-platform, high PB preference of consumers and risk-averse behavior of the NBM is not conducive to PB introduction. For the supply chain, scenarios that the NB monopolizes the market under the wholesale mode and PB introduction under the marketplace mode should be prevented. PB introduction under the wholesale mode will become the only equilibrium with the increase of risk aversion of the NBM. Finally, the authors extend the scenario that consumers prefer the PB and the e-platform is risk-averse enterprise and find that PB introduction under the wholesale mode is detrimental to the NBM but beneficial to the supply chain. The impact of consumers' PB preference on the e-platform's PB introduction is opposite to the basic model. The impact of the e-platform's risk aversion on game equilibrium is opposite to that of the NBM's risk aversion.

This paper is first to study selling mode decision and PB introduction decision when considering enterprises' risk-averse attitude.

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Private brand introduction and selling mode decision when considering risk aversion10.1108/K-07-2023-1178Kybernetes2023-11-09© 2023 Emerald Publishing LimitedLubing LyuHaixia ZhaoKybernetesahead-of-printahead-of-print2023-11-0910.1108/K-07-2023-1178https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1178/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Capital tax incentives and firm innovation: evidence from accelerated depreciation in Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1179/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate the influence and impact mechanism of capital tax incentives on firm innovation. This study employs the difference-in-differences (DID) method, in conjunction with the exogenous impact of accelerated depreciation (AD) pilot policy. This study selects Chinese listed companies from 2010 to 2017 as the research sample. Firstly, AD exerts a substantial positive effect on the quantity and quality of the innovation output of firms, and the positive impact results primarily from heightened investment in fixed assets, particularly, machinery and equipment. Secondly, the influence of the policy is pronounced in non-state-owned enterprises, mature enterprises, less capital-intensive enterprises and non-high-tech industries, which all exhibit strong innovation incentives. Lastly, the tax incentive policy significantly stimulates firm innovation in the short term, but its long-term impact on innovation incentives lacks statistical significance. This study highlights the significance of capital tax incentives in facilitating the innovation process in firms.Capital tax incentives and firm innovation: evidence from accelerated depreciation in China
Haibo Feng, Caixia Zong
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to investigate the influence and impact mechanism of capital tax incentives on firm innovation.

This study employs the difference-in-differences (DID) method, in conjunction with the exogenous impact of accelerated depreciation (AD) pilot policy. This study selects Chinese listed companies from 2010 to 2017 as the research sample.

Firstly, AD exerts a substantial positive effect on the quantity and quality of the innovation output of firms, and the positive impact results primarily from heightened investment in fixed assets, particularly, machinery and equipment. Secondly, the influence of the policy is pronounced in non-state-owned enterprises, mature enterprises, less capital-intensive enterprises and non-high-tech industries, which all exhibit strong innovation incentives. Lastly, the tax incentive policy significantly stimulates firm innovation in the short term, but its long-term impact on innovation incentives lacks statistical significance.

This study highlights the significance of capital tax incentives in facilitating the innovation process in firms.

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Capital tax incentives and firm innovation: evidence from accelerated depreciation in China10.1108/K-07-2023-1179Kybernetes2024-01-22© 2024 Emerald Publishing LimitedHaibo FengCaixia ZongKybernetesahead-of-printahead-of-print2024-01-2210.1108/K-07-2023-1179https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1179/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Navigating the digital landscape: examining the interdependencies of digital transformation and big data in driving SMEs' innovation performancehttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1183/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance. This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4. Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP. This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance. This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.Navigating the digital landscape: examining the interdependencies of digital transformation and big data in driving SMEs' innovation performance
Tian Hongyun, Jan Muhammad Sohu, Asad Ullah Khan, Ikramuddin Junejo, Sonia Najam Shaikh, Sadaf Akhtar, Muhammad Bilal
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance.

This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4.

Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP.

This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance.

This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.

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Navigating the digital landscape: examining the interdependencies of digital transformation and big data in driving SMEs' innovation performance10.1108/K-07-2023-1183Kybernetes2023-12-19© 2023 Emerald Publishing LimitedTian HongyunJan Muhammad SohuAsad Ullah KhanIkramuddin JunejoSonia Najam ShaikhSadaf AkhtarMuhammad BilalKybernetesahead-of-printahead-of-print2023-12-1910.1108/K-07-2023-1183https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1183/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Electric vehicle subsidy structure considering network externality under carbon neutrality constraintshttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1185/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestPromoting electric vehicles (EVs) is an effective way to achieve carbon neutrality. If EVs are widely adopted, this will undoubtedly be good for the environment. The purpose of this study is to analyze the impact of network externalities and subsidy on the strategies of manufacturer under a carbon neutrality constraint. In this paper, the authors propose a game-theoretic framework in an EVs supply chain consisting of a government, a manufacturer and a group of consumers. The authors examine two subsidy options and explain the choice of optimal strategies for government and manufacturer. First, the authors find that the both network externalities of charging stations and government subsidy can promote the EV market. Second, under a relaxed carbon neutrality constraint, even if the government’s purchase subsidy investment is larger than the carbon emission reduction technology subsidy investment, the purchase subsidy policy is still optimal. Third, under a strict carbon neutrality constraint, when the cost coefficient of carbon emission reduction and the effectiveness of carbon emission reduction technology are larger, social welfare will instead decrease with the increase of the effectiveness of emission reduction technology and then, the manufacturer’s investment in carbon emission reduction technology is lower. In the extended model, the authors find the effectiveness of carbon emission reduction technology can also promote the EV market and social welfare (or consumer surplus) is the same whatever the subsidy strategy. The network externalities of charging stations and the subsidy effect of the government have a superimposition effect on the promotion of EVs. When the network effect of charging stations is relatively strong, government can withdraw from the subsidized market. When the network effect of charging stations is relatively weak, government can intervene appropriately. Comparing previous studies, this study reveals the impact of government intervention, network effects and carbon neutrality constraints on the EV supply chain. From a sustainability perspective, these insights are compelling for both EV manufacturers and policymakers.Electric vehicle subsidy structure considering network externality under carbon neutrality constraints
Feng Chen, Suxiu Xu, Yue Zhai
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Promoting electric vehicles (EVs) is an effective way to achieve carbon neutrality. If EVs are widely adopted, this will undoubtedly be good for the environment. The purpose of this study is to analyze the impact of network externalities and subsidy on the strategies of manufacturer under a carbon neutrality constraint.

In this paper, the authors propose a game-theoretic framework in an EVs supply chain consisting of a government, a manufacturer and a group of consumers. The authors examine two subsidy options and explain the choice of optimal strategies for government and manufacturer.

First, the authors find that the both network externalities of charging stations and government subsidy can promote the EV market. Second, under a relaxed carbon neutrality constraint, even if the government’s purchase subsidy investment is larger than the carbon emission reduction technology subsidy investment, the purchase subsidy policy is still optimal. Third, under a strict carbon neutrality constraint, when the cost coefficient of carbon emission reduction and the effectiveness of carbon emission reduction technology are larger, social welfare will instead decrease with the increase of the effectiveness of emission reduction technology and then, the manufacturer’s investment in carbon emission reduction technology is lower. In the extended model, the authors find the effectiveness of carbon emission reduction technology can also promote the EV market and social welfare (or consumer surplus) is the same whatever the subsidy strategy.

The network externalities of charging stations and the subsidy effect of the government have a superimposition effect on the promotion of EVs. When the network effect of charging stations is relatively strong, government can withdraw from the subsidized market. When the network effect of charging stations is relatively weak, government can intervene appropriately.

Comparing previous studies, this study reveals the impact of government intervention, network effects and carbon neutrality constraints on the EV supply chain. From a sustainability perspective, these insights are compelling for both EV manufacturers and policymakers.

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Electric vehicle subsidy structure considering network externality under carbon neutrality constraints10.1108/K-07-2023-1185Kybernetes2024-01-23© 2024 Emerald Publishing LimitedFeng ChenSuxiu XuYue ZhaiKybernetesahead-of-printahead-of-print2024-01-2310.1108/K-07-2023-1185https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1185/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The optimal decision of e-retailer based on return-freight insurance – considering the loss aversion of customershttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1187/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe return behavior of customers has a great impact on the e-retail industry and has resulted in the emergence of return-freight insurance (RI). Additionally, customer loss aversion arising from returns affects e-retailers' decisions and manufacturers' profits. Therefore, the main purpose of the authors' study is to determine how e-retailers and manufacturers choose their RI strategy and pricing according to customers' loss aversion. The authors propose three scenarios: no RI, customer purchase RI and free e-retail RI (FRI). Meanwhile, the authors also model a Stackelberg game between e-retailers and manufacturers for analysis. Then, according to customer return behavior and loss aversion, the authors study the optimal pricing decision and RI premium allocation scheme for e-retailers and manufacturers under different scenarios. It was found that the loss sensitivity reduces customers' willingness to buy RI, which is not conducive to the development of e-retailers and manufacturers. Additionally, with higher loss sensitivity, e-retailers and manufacturers offer FRI to gain higher profits, which supports the implementation of the FRI strategy. The authors introduce customers' loss aversion into RI to analyze the optimal pricing decisions and profits of e-retailers and manufacturers, enriching the application of loss aversion theory. In addition, this study analyzes the two-way cost-sharing mechanism between manufacturers and e-retailers to provide FRI, which provides a theoretical basis for RI premium sharing.The optimal decision of e-retailer based on return-freight insurance – considering the loss aversion of customers
Wentao Zhan, Wenting Pan, Yi Zhao, Shengyu Zhang, Yimeng Wang, Minghui Jiang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The return behavior of customers has a great impact on the e-retail industry and has resulted in the emergence of return-freight insurance (RI). Additionally, customer loss aversion arising from returns affects e-retailers' decisions and manufacturers' profits. Therefore, the main purpose of the authors' study is to determine how e-retailers and manufacturers choose their RI strategy and pricing according to customers' loss aversion.

The authors propose three scenarios: no RI, customer purchase RI and free e-retail RI (FRI). Meanwhile, the authors also model a Stackelberg game between e-retailers and manufacturers for analysis. Then, according to customer return behavior and loss aversion, the authors study the optimal pricing decision and RI premium allocation scheme for e-retailers and manufacturers under different scenarios.

It was found that the loss sensitivity reduces customers' willingness to buy RI, which is not conducive to the development of e-retailers and manufacturers. Additionally, with higher loss sensitivity, e-retailers and manufacturers offer FRI to gain higher profits, which supports the implementation of the FRI strategy.

The authors introduce customers' loss aversion into RI to analyze the optimal pricing decisions and profits of e-retailers and manufacturers, enriching the application of loss aversion theory. In addition, this study analyzes the two-way cost-sharing mechanism between manufacturers and e-retailers to provide FRI, which provides a theoretical basis for RI premium sharing.

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The optimal decision of e-retailer based on return-freight insurance – considering the loss aversion of customers10.1108/K-07-2023-1187Kybernetes2023-09-29© 2023 Emerald Publishing LimitedWentao ZhanWenting PanYi ZhaoShengyu ZhangYimeng WangMinghui JiangKybernetesahead-of-printahead-of-print2023-09-2910.1108/K-07-2023-1187https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1187/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Influencing factors and prediction of overcapacity of new energy enterprises in Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1201/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to clarify influencing factors of overcapacity of new energy enterprises in China and accurately predict whether these enterprises have overcapacity. Based on relevant data including the experience and evidence from the capital market in China, the research establishes a generic univariate selection-comparative machine learning model to study relevant factors that affect overcapacity of new energy enterprises from five dimensions. These include the governmental intervention, market demand, corporate finance, corporate governance and corporate decision. Moreover, the bridging approach is used to strengthen findings from quantitative studies via the results from qualitative studies. The authors' results show that the overcapacity of new energy enterprises in China is brought out by the combined effect of governmental intervention corporate governance and corporate decision. Governmental interventions increase the overcapacity risk of new energy enterprises mainly by distorting investment behaviors of enterprises. Corporate decision and corporate governance factors affect the overcapacity mainly by regulating the degree of overconfidence of the management team and the agency cost. Among the eight comparable integrated models, generic univariate selection-bagging exhibits the optimal comprehensive generalization performance and its area under the receiver operating characteristic curve Area under curve (AUC) accuracy precision and recall are 0.719, 0.960, 0.975 and 0.983, respectively. The proposed integrated model analyzes causes and predicts presence of overcapacity of new energy enterprises to help governments to formulate appropriate strategies to deal with overcapacity and new energy enterprises to optimize resource allocation. Ten main features which affect the overcapacity of new energy enterprises in China are identified through generic univariate selection model. Through the bridging approach, the impact of the main features on the overcapacity of new energy enterprises and the mechanism of the influence are analyzed.Influencing factors and prediction of overcapacity of new energy enterprises in China
Wen-Qian Lou, Bin Wu, Bo-Wen Zhu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to clarify influencing factors of overcapacity of new energy enterprises in China and accurately predict whether these enterprises have overcapacity.

Based on relevant data including the experience and evidence from the capital market in China, the research establishes a generic univariate selection-comparative machine learning model to study relevant factors that affect overcapacity of new energy enterprises from five dimensions. These include the governmental intervention, market demand, corporate finance, corporate governance and corporate decision. Moreover, the bridging approach is used to strengthen findings from quantitative studies via the results from qualitative studies.

The authors' results show that the overcapacity of new energy enterprises in China is brought out by the combined effect of governmental intervention corporate governance and corporate decision. Governmental interventions increase the overcapacity risk of new energy enterprises mainly by distorting investment behaviors of enterprises. Corporate decision and corporate governance factors affect the overcapacity mainly by regulating the degree of overconfidence of the management team and the agency cost. Among the eight comparable integrated models, generic univariate selection-bagging exhibits the optimal comprehensive generalization performance and its area under the receiver operating characteristic curve Area under curve (AUC) accuracy precision and recall are 0.719, 0.960, 0.975 and 0.983, respectively.

The proposed integrated model analyzes causes and predicts presence of overcapacity of new energy enterprises to help governments to formulate appropriate strategies to deal with overcapacity and new energy enterprises to optimize resource allocation. Ten main features which affect the overcapacity of new energy enterprises in China are identified through generic univariate selection model. Through the bridging approach, the impact of the main features on the overcapacity of new energy enterprises and the mechanism of the influence are analyzed.

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Influencing factors and prediction of overcapacity of new energy enterprises in China10.1108/K-07-2023-1201Kybernetes2023-09-29© 2023 Emerald Publishing LimitedWen-Qian LouBin WuBo-Wen ZhuKybernetesahead-of-printahead-of-print2023-09-2910.1108/K-07-2023-1201https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1201/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Growth-accelerating factors of green finance for green growth: a study using TISMhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1202/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe objective is to develop an empirical model estimating the relationship and interaction amongst the factors affecting and enhancing green finance (GF) in developing economies like India. Around nine growth-accelerating enablers of green financing were found through literature and unstructured interviews and analysed using the total interpretive structural modelling (TISM) method. The hierarchical link between each factor is established using TISM, and further to evaluate the driver-dependent relationship the Matriced’ Impacts Croises Appliquee Aaun Classement (MICMAC) approach is utilised. The findings demonstrate an interrelationship between growth-accelerating factors, where the political environment and information and communication technology (ICT), have minimal dependency but a strong driving force. Political environment and ICT are found as strategic-level factors lying at the bottom of the model driving towards the dependent variables. The government should focus on enacting effective policies such as the green credit guarantee scheme and carbon credit and establishing a regulatory framework to enhance green financing. This study examines the literature to generalise the findings and focus on the primary motivators for developing green financing. To increase green financial activity, practitioners must concentrate on aspects with significant driving forces. Furthermore, it makes organisations more profitable, efficient and competitive and promotes long-term growth. The study is the first in the literature which identifies the growth-accelerating factors of green financing using the TISM and MICMAC-based hierarchical models.Growth-accelerating factors of green finance for green growth: a study using TISM
Ravita Kharb, Charu Shri, Neha Saini
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The objective is to develop an empirical model estimating the relationship and interaction amongst the factors affecting and enhancing green finance (GF) in developing economies like India.

Around nine growth-accelerating enablers of green financing were found through literature and unstructured interviews and analysed using the total interpretive structural modelling (TISM) method. The hierarchical link between each factor is established using TISM, and further to evaluate the driver-dependent relationship the Matriced’ Impacts Croises Appliquee Aaun Classement (MICMAC) approach is utilised.

The findings demonstrate an interrelationship between growth-accelerating factors, where the political environment and information and communication technology (ICT), have minimal dependency but a strong driving force. Political environment and ICT are found as strategic-level factors lying at the bottom of the model driving towards the dependent variables. The government should focus on enacting effective policies such as the green credit guarantee scheme and carbon credit and establishing a regulatory framework to enhance green financing.

This study examines the literature to generalise the findings and focus on the primary motivators for developing green financing. To increase green financial activity, practitioners must concentrate on aspects with significant driving forces. Furthermore, it makes organisations more profitable, efficient and competitive and promotes long-term growth.

The study is the first in the literature which identifies the growth-accelerating factors of green financing using the TISM and MICMAC-based hierarchical models.

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Growth-accelerating factors of green finance for green growth: a study using TISM10.1108/K-07-2023-1202Kybernetes2024-02-02© 2024 Emerald Publishing LimitedRavita KharbCharu ShriNeha SainiKybernetesahead-of-printahead-of-print2024-02-0210.1108/K-07-2023-1202https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1202/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Examining tourists' risk-related hesitation and confidence effects on developing distress and associated behavioral responses during COVID-19https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1209/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUtilizing the theoretical foundation of the stimulus-organism-response framework, the present work developed and investigated a conceptual model. The work explores the effects of perceived risk of COVID-19 on tourists' choice hesitation and choice confidence. Furthermore, it examines the impacts of choice hesitation and choice confidence on psychological distress, which, in turn, influences purchase intentions and risk-protective behavior. Additionally, the study assesses the boundary effects of vulnerability on the association between choice hesitation, choice confidence, and psychological distress. An online survey was administered in China during COVID-19 to assess the postulated hypotheses. We collected 491 responses using purposive sampling, and covariance-based structural equation modeling (CB-SEM) was performed to investigate the relationships. Results show that the perceived risk of COVID-19 positively influences the choice hesitation and negatively impact choice confidence. It was also found that choice hesitation and choice confidence positively developed psychological distress, which, in turn, negatively triggered purchase intentions and positively developed risk-protective behavior. Additionally, perceived vulnerability had a significant moderating impact on the proposed relationships, strengthening psychological distress. In the current context, this study measures bipolar behavioral outcomes using the S-O-R model. Because cognitive processes influence participation in health preventative behavior during the spread of diseases, we highlighted how the perception of risk and vulnerability to a pandemic serves as a reliable indicator of certain behaviors. This study advances understanding of how the psychological mindset of tourists copes with such circumstances. Due to the pandemic, tourists face limitations in their choices and are placing greater emphasis on adopting protective measures to mitigate associated risks.Examining tourists' risk-related hesitation and confidence effects on developing distress and associated behavioral responses during COVID-19
Rizwana Hameed, Naeem Akhtar, Anshuman Sharma
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Utilizing the theoretical foundation of the stimulus-organism-response framework, the present work developed and investigated a conceptual model. The work explores the effects of perceived risk of COVID-19 on tourists' choice hesitation and choice confidence. Furthermore, it examines the impacts of choice hesitation and choice confidence on psychological distress, which, in turn, influences purchase intentions and risk-protective behavior. Additionally, the study assesses the boundary effects of vulnerability on the association between choice hesitation, choice confidence, and psychological distress.

An online survey was administered in China during COVID-19 to assess the postulated hypotheses. We collected 491 responses using purposive sampling, and covariance-based structural equation modeling (CB-SEM) was performed to investigate the relationships.

Results show that the perceived risk of COVID-19 positively influences the choice hesitation and negatively impact choice confidence. It was also found that choice hesitation and choice confidence positively developed psychological distress, which, in turn, negatively triggered purchase intentions and positively developed risk-protective behavior. Additionally, perceived vulnerability had a significant moderating impact on the proposed relationships, strengthening psychological distress.

In the current context, this study measures bipolar behavioral outcomes using the S-O-R model. Because cognitive processes influence participation in health preventative behavior during the spread of diseases, we highlighted how the perception of risk and vulnerability to a pandemic serves as a reliable indicator of certain behaviors. This study advances understanding of how the psychological mindset of tourists copes with such circumstances. Due to the pandemic, tourists face limitations in their choices and are placing greater emphasis on adopting protective measures to mitigate associated risks.

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Examining tourists' risk-related hesitation and confidence effects on developing distress and associated behavioral responses during COVID-1910.1108/K-07-2023-1209Kybernetes2024-03-19© 2024 Emerald Publishing LimitedRizwana HameedNaeem AkhtarAnshuman SharmaKybernetesahead-of-printahead-of-print2024-03-1910.1108/K-07-2023-1209https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1209/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
A holistic view on business model-oriented energy communitieshttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1235/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to investigate and formulate several business models (BM) for various energy communities (EC) members: prosumers, storage facilities, electric vehicle (EV) charging stations, aggregators and local markets. One of the flexibility drivers is triggered by avoiding the cost and maximizing value that consists of delivering a service such as increasing generation or reducing consumption when it is valued most. The transition to greener economies led to the emergence of aggregators that aggregate bits of flexibility and handle the interest of their providers, e.g. small entities such as consumers, prosumers and other small service providers. On one hand, the research method consists of formulating six BM and implementing a BM that includes several consumers and an aggregator, namely, scheduling the household electricity consumption (downstream) and using flexibility to obtain revenue or avoid the cost. This is usually performed by reducing or shifting the consumption from peak to off-peak hours when the energy is cheaper. Thus, the role of aggregators in EC is significant as they intermediate small-scale energy threads and large entities' requirements, such as grid operators or retailers. On the other hand, in the proposed BM, the aggregators' strategy (upstream) will be to minimize the cost of electricity procurement using consumers’ flexibility. They set up markets to buy flexibility that is valued as long as their costs are reduced. Interesting insights are revealed, such as when the flexibility price doubles, the deficit coverage increases from 62% to 91% and both parties, consumers and retailers obtain financial benefits from the local market. One of the limitations of using the potential of flexibility is related to the high costs that are necessary to implement direct load control. Another issue is related to the data privacy aspects related to the breakdown of electricity consumption. Furthermore, data availability for scientific research is limited. However, this study expects that new BM for various EC members will emerge in the future largely depending on Information Communications and Technology developments. An implementation of a local flexibility market (LFM) using 114 apartments with flexible loads is proposed, demonstrating the gains obtained from trading flexibility. For LFM simulation, this study considers exemplifying a BM using 114 apartments located in a multi-apartment building representing a small urban EC situated in the New England region in North America. Open data recorded in 2016 is provided by UMassTraceRepository. As a novelty, six BM are proposed considering a bottom-up approach and including various EC members.A holistic view on business model-oriented energy communities
Adela Bâra, Simona Vasilica Oprea
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to investigate and formulate several business models (BM) for various energy communities (EC) members: prosumers, storage facilities, electric vehicle (EV) charging stations, aggregators and local markets.

One of the flexibility drivers is triggered by avoiding the cost and maximizing value that consists of delivering a service such as increasing generation or reducing consumption when it is valued most. The transition to greener economies led to the emergence of aggregators that aggregate bits of flexibility and handle the interest of their providers, e.g. small entities such as consumers, prosumers and other small service providers. On one hand, the research method consists of formulating six BM and implementing a BM that includes several consumers and an aggregator, namely, scheduling the household electricity consumption (downstream) and using flexibility to obtain revenue or avoid the cost. This is usually performed by reducing or shifting the consumption from peak to off-peak hours when the energy is cheaper. Thus, the role of aggregators in EC is significant as they intermediate small-scale energy threads and large entities' requirements, such as grid operators or retailers. On the other hand, in the proposed BM, the aggregators' strategy (upstream) will be to minimize the cost of electricity procurement using consumers’ flexibility. They set up markets to buy flexibility that is valued as long as their costs are reduced.

Interesting insights are revealed, such as when the flexibility price doubles, the deficit coverage increases from 62% to 91% and both parties, consumers and retailers obtain financial benefits from the local market.

One of the limitations of using the potential of flexibility is related to the high costs that are necessary to implement direct load control. Another issue is related to the data privacy aspects related to the breakdown of electricity consumption. Furthermore, data availability for scientific research is limited. However, this study expects that new BM for various EC members will emerge in the future largely depending on Information Communications and Technology developments.

An implementation of a local flexibility market (LFM) using 114 apartments with flexible loads is proposed, demonstrating the gains obtained from trading flexibility. For LFM simulation, this study considers exemplifying a BM using 114 apartments located in a multi-apartment building representing a small urban EC situated in the New England region in North America. Open data recorded in 2016 is provided by UMassTraceRepository.

As a novelty, six BM are proposed considering a bottom-up approach and including various EC members.

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A holistic view on business model-oriented energy communities10.1108/K-07-2023-1235Kybernetes2023-11-06© 2023 Emerald Publishing LimitedAdela BâraSimona Vasilica OpreaKybernetesahead-of-printahead-of-print2023-11-0610.1108/K-07-2023-1235https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1235/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Marketplace or reseller? The effect of asymmetric selling cost and demand informationhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1244/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWe explore the driving forces behind the channel choices of the manufacturer and the platform by considering asymmetric selling cost and demand information. This paper develops game-theoretical models to study different channel strategies for an E-commerce supply chain, in which a manufacturer distributes products through a platform that may operate in either the marketplace channel or the reseller channel. Three primary models are built and analyzed. The comparison results show that the platform would share demand information in the reseller channel only if the service cost performance is relatively high. Besides, with an increasing selling cost, the equilibrium channel might shift from the marketplace to the reseller. With increasing information accuracy, the manufacturer tends to select the marketplace channel, while the platform tends to select the reseller channel if the service cost performance is low and tends to select the marketplace channel otherwise. All these results have been numerically verified in the experiments. At last, we also resort to numerical study and find that as the service cost performance increases, the equilibrium channel may shift from the reseller channel to the marketplace channel. These results provide managerial guidance to online platforms and manufacturers regarding strategic decisions on channel management. Although prior research has paid extensive attention to the driving forces behind the online channel choice between marketplace and reseller, there is at present few study considering the case where a manufacturer selling through an online platform faces a demand information disadvantage in the reseller channel and sales inefficiency in the marketplace channel. To fill this research gap, our work illustrates the interaction between demand information asymmetry and selling cost asymmetry to identify the equilibrium channel strategy and provides useful managerial guidelines for both online platforms and manufacturers.Marketplace or reseller? The effect of asymmetric selling cost and demand information
Mengying Zhang, Zhennan Yuan, Ningning Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

We explore the driving forces behind the channel choices of the manufacturer and the platform by considering asymmetric selling cost and demand information.

This paper develops game-theoretical models to study different channel strategies for an E-commerce supply chain, in which a manufacturer distributes products through a platform that may operate in either the marketplace channel or the reseller channel.

Three primary models are built and analyzed. The comparison results show that the platform would share demand information in the reseller channel only if the service cost performance is relatively high. Besides, with an increasing selling cost, the equilibrium channel might shift from the marketplace to the reseller. With increasing information accuracy, the manufacturer tends to select the marketplace channel, while the platform tends to select the reseller channel if the service cost performance is low and tends to select the marketplace channel otherwise.

All these results have been numerically verified in the experiments. At last, we also resort to numerical study and find that as the service cost performance increases, the equilibrium channel may shift from the reseller channel to the marketplace channel. These results provide managerial guidance to online platforms and manufacturers regarding strategic decisions on channel management.

Although prior research has paid extensive attention to the driving forces behind the online channel choice between marketplace and reseller, there is at present few study considering the case where a manufacturer selling through an online platform faces a demand information disadvantage in the reseller channel and sales inefficiency in the marketplace channel. To fill this research gap, our work illustrates the interaction between demand information asymmetry and selling cost asymmetry to identify the equilibrium channel strategy and provides useful managerial guidelines for both online platforms and manufacturers.

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Marketplace or reseller? The effect of asymmetric selling cost and demand information10.1108/K-07-2023-1244Kybernetes2024-02-27© 2024 Emerald Publishing LimitedMengying ZhangZhennan YuanNingning WangKybernetesahead-of-printahead-of-print2024-02-2710.1108/K-07-2023-1244https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1244/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Psychographic and demographic segmentation and customer profiling in mobile fintech serviceshttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1251/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research aims to comprehend the factors that impact the emerging inclination of consumers toward mobile finance technology (fintech) services over banking institutions. The study focuses on users' demographics and psychographics to delineate their unique segments and profiles. The study proposes a segmentation and profiling framework that includes variance analysis, two-step cluster analysis and pairwise statistical tests. This framework is applied to a dataset of customers using a range of mobile fintech services, specifically robo-investment, peer-to-peer (P2P) payments, robo-advisory and digital savings. The analysis creates distinct customer profile clusters, which are later validated using pairwise statistical tests based on segmentation output. Empirical results reveal that P2P payment service users exhibit a higher frequency of usage, proficiency and intention to continue using the service compared to users of robo-investment or digital savings platforms. In contrast, individuals utilizing robo-advisory services are identified to have a significantly greater familiarity and intention to sustain engagement with the service compared to digital savings users. The findings provide financial institutions, especially traditional banks with actionable insights into their customer base. This information enables them to identify specific customer needs and preferences, thereby allowing them to tailor products and services accordingly. Ultimately, this understanding may strategically position traditional banks to maintain competitiveness amidst the increasing prominence of fintech enterprises. This research provides an in-depth examination of customer segments and profiles within the mobile fintech services sphere, thus giving a nuanced understanding of customer behavior and preferences and generating practical recommendations for banks and other financial institutions. This study thereby sets the stage for further research and paves the way for developing personalized products and services in the evolving fintech landscape.Psychographic and demographic segmentation and customer profiling in mobile fintech services
Agnieszka Maria Koziel, Chien-wen Shen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research aims to comprehend the factors that impact the emerging inclination of consumers toward mobile finance technology (fintech) services over banking institutions. The study focuses on users' demographics and psychographics to delineate their unique segments and profiles.

The study proposes a segmentation and profiling framework that includes variance analysis, two-step cluster analysis and pairwise statistical tests. This framework is applied to a dataset of customers using a range of mobile fintech services, specifically robo-investment, peer-to-peer (P2P) payments, robo-advisory and digital savings. The analysis creates distinct customer profile clusters, which are later validated using pairwise statistical tests based on segmentation output.

Empirical results reveal that P2P payment service users exhibit a higher frequency of usage, proficiency and intention to continue using the service compared to users of robo-investment or digital savings platforms. In contrast, individuals utilizing robo-advisory services are identified to have a significantly greater familiarity and intention to sustain engagement with the service compared to digital savings users.

The findings provide financial institutions, especially traditional banks with actionable insights into their customer base. This information enables them to identify specific customer needs and preferences, thereby allowing them to tailor products and services accordingly. Ultimately, this understanding may strategically position traditional banks to maintain competitiveness amidst the increasing prominence of fintech enterprises.

This research provides an in-depth examination of customer segments and profiles within the mobile fintech services sphere, thus giving a nuanced understanding of customer behavior and preferences and generating practical recommendations for banks and other financial institutions. This study thereby sets the stage for further research and paves the way for developing personalized products and services in the evolving fintech landscape.

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Psychographic and demographic segmentation and customer profiling in mobile fintech services10.1108/K-07-2023-1251Kybernetes2023-12-05© 2023 Emerald Publishing LimitedAgnieszka Maria KozielChien-wen ShenKybernetesahead-of-printahead-of-print2023-12-0510.1108/K-07-2023-1251https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1251/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Configuration analysis of asymmetric trust between infrastructure PPP project participantshttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1261/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTrust is the glue that holds cooperative relationships together and often exists in an asymmetric manner. The purpose of this study is to explore how to mitigate the issue of losses or increased transaction costs caused by opportunistic behavior in a soft environment where trust asymmetry is quite common and difficult to avoid. This study focuses on examining asymmetric trust between the government and the private sector in public-private partnership (PPP) projects. Drawing upon both project realities and relevant literature, the primary conditional variables influencing asymmetric trust are identified. These variables encompass power perception asymmetry, information asymmetry, interaction behavior, risk perception differences and government-side control. Subsequently, through the use of a survey questionnaire, binary-matched data from both the government and the private sector are collected. The study employs fuzzy-set qualitative comparative analysis (fsQCA) to conduct a configurational analysis, aiming to investigate the causal pathways that trigger asymmetric trust. No single conditional variable is a necessary condition for the emergence of trust asymmetry. The pathways leading to a high degree of trust asymmetry can be categorized into two types: those dominated by power perception and those involving a combination of multiple factors. Differences in power perception play a crucial role in the occurrence of high trust asymmetry, yet the influence of other conditional variables in triggering trust asymmetry should not be overlooked. The findings can contribute to advancing the study of trust relationships in the field of Chinese PPP projects. Furthermore, they hold practical value in facilitating the enhancement of trust relationships between the government and the private sector.Configuration analysis of asymmetric trust between infrastructure PPP project participants
Huimin Li, Boxin Dai, Yongchao Cao, Limin Su, Feng Li
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Trust is the glue that holds cooperative relationships together and often exists in an asymmetric manner. The purpose of this study is to explore how to mitigate the issue of losses or increased transaction costs caused by opportunistic behavior in a soft environment where trust asymmetry is quite common and difficult to avoid.

This study focuses on examining asymmetric trust between the government and the private sector in public-private partnership (PPP) projects. Drawing upon both project realities and relevant literature, the primary conditional variables influencing asymmetric trust are identified. These variables encompass power perception asymmetry, information asymmetry, interaction behavior, risk perception differences and government-side control. Subsequently, through the use of a survey questionnaire, binary-matched data from both the government and the private sector are collected. The study employs fuzzy-set qualitative comparative analysis (fsQCA) to conduct a configurational analysis, aiming to investigate the causal pathways that trigger asymmetric trust.

No single conditional variable is a necessary condition for the emergence of trust asymmetry. The pathways leading to a high degree of trust asymmetry can be categorized into two types: those dominated by power perception and those involving a combination of multiple factors. Differences in power perception play a crucial role in the occurrence of high trust asymmetry, yet the influence of other conditional variables in triggering trust asymmetry should not be overlooked.

The findings can contribute to advancing the study of trust relationships in the field of Chinese PPP projects. Furthermore, they hold practical value in facilitating the enhancement of trust relationships between the government and the private sector.

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Configuration analysis of asymmetric trust between infrastructure PPP project participants10.1108/K-07-2023-1261Kybernetes2024-03-15© 2024 Emerald Publishing LimitedHuimin LiBoxin DaiYongchao CaoLimin SuFeng LiKybernetesahead-of-printahead-of-print2024-03-1510.1108/K-07-2023-1261https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1261/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Unlocking innovation: the power of two leadership styles in Chinese higher educationhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1276/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to explore the associations between leadership styles (i.e. transformational and ethical) and innovative work behavior within higher education institutions (HEIs), additionally investigating the mediating role of work engagement and the moderating role of psychological empowerment. The basis of this study rested upon adopting a cross-sectional research framework. The data were acquired from a sample comprising 825 academic staff and 275 leaders across 226 HEIs in China. Employing a quantitative methodology, the researchers used AMOS version 26.0 and SPSS version 22.0 for statistical analysis. The results indicated that leadership styles (i.e. transformational and ethical) positively affected innovative work behavior, both directly and indirectly (via work engagement). Also, psychological empowerment moderated the linkage between leadership styles and innovative work behavior but not the association between work engagement and innovative work behavior. Despite some existing literature having discussed the correlation between leadership styles and innovative work behavior, there appears to be a conspicuous dearth of research endeavoring to explore the mediator (i.e. work engagement) and the moderator (i.e. psychological empowerment) within the above nexus, especially in the context of HEIs. Thus, this study can be considered original, introducing novel perspectives and substantial contributions to the management literature on HEIs. In addition, it offers insights for organizational managers.Unlocking innovation: the power of two leadership styles in Chinese higher education
Qingjin Lin, Loo-See Beh, Nurul Liyana Mohd Kamil
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to explore the associations between leadership styles (i.e. transformational and ethical) and innovative work behavior within higher education institutions (HEIs), additionally investigating the mediating role of work engagement and the moderating role of psychological empowerment.

The basis of this study rested upon adopting a cross-sectional research framework. The data were acquired from a sample comprising 825 academic staff and 275 leaders across 226 HEIs in China. Employing a quantitative methodology, the researchers used AMOS version 26.0 and SPSS version 22.0 for statistical analysis.

The results indicated that leadership styles (i.e. transformational and ethical) positively affected innovative work behavior, both directly and indirectly (via work engagement). Also, psychological empowerment moderated the linkage between leadership styles and innovative work behavior but not the association between work engagement and innovative work behavior.

Despite some existing literature having discussed the correlation between leadership styles and innovative work behavior, there appears to be a conspicuous dearth of research endeavoring to explore the mediator (i.e. work engagement) and the moderator (i.e. psychological empowerment) within the above nexus, especially in the context of HEIs. Thus, this study can be considered original, introducing novel perspectives and substantial contributions to the management literature on HEIs. In addition, it offers insights for organizational managers.

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Unlocking innovation: the power of two leadership styles in Chinese higher education10.1108/K-07-2023-1276Kybernetes2023-12-12© 2023 Emerald Publishing LimitedQingjin LinLoo-See BehNurul Liyana Mohd KamilKybernetesahead-of-printahead-of-print2023-12-1210.1108/K-07-2023-1276https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1276/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A priority queueing-inventory approach for inventory management in multi-channel service retailing using machine learning algorithmshttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1281/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestNowadays, in many organizations, products are not delivered instantly. So, the customers should wait to receive their needed products, which will form a queueing-inventory model. Waiting a long time in the queue to receive products may cause dissatisfaction and churn of loyal customers, which can be a significant loss for organizations. Although many studies have been done on queueing-inventory models, more practical models in this area are needed, such as considering customer prioritization. Moreover, in many models, minimizing the total cost for the organization has been overlooked. This paper will compare several machine learning (ML) algorithms to prioritize customers. Moreover, benefiting from the best ML algorithm, customers will be categorized into different classes based on their value and importance. Finally, a mathematical model will be developed to determine the allocation policy of on-hand products to each group of customers through multi-channel service retailing to minimize the organization’s total costs and increase the loyal customers' satisfaction level. To investigate the application of the proposed method, a real-life case study on vaccine distribution at Imam Khomeini Hospital in Tehran has been addressed to ensure model validation. The proposed model’s accuracy was assessed as excellent based on the results generated by the ML algorithms, problem modeling and case study. Prioritizing customers based on their value with the help of ML algorithms and optimizing the waiting queues to reduce customers' waiting time based on a mathematical model could lead to an increase in satisfaction levels among loyal customers and prevent their churn. This study’s uniqueness lies in its focus on determining the policy in which customers receive products based on their value in the queue, which is a relatively rare topic of research in queueing management systems. Additionally, the results obtained from the study provide strong validation for the model’s functionality.A priority queueing-inventory approach for inventory management in multi-channel service retailing using machine learning algorithms
Nasser Abdali, Saeideh Heidari, Mohammad Alipour-Vaezi, Fariborz Jolai, Amir Aghsami
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Nowadays, in many organizations, products are not delivered instantly. So, the customers should wait to receive their needed products, which will form a queueing-inventory model. Waiting a long time in the queue to receive products may cause dissatisfaction and churn of loyal customers, which can be a significant loss for organizations. Although many studies have been done on queueing-inventory models, more practical models in this area are needed, such as considering customer prioritization. Moreover, in many models, minimizing the total cost for the organization has been overlooked.

This paper will compare several machine learning (ML) algorithms to prioritize customers. Moreover, benefiting from the best ML algorithm, customers will be categorized into different classes based on their value and importance. Finally, a mathematical model will be developed to determine the allocation policy of on-hand products to each group of customers through multi-channel service retailing to minimize the organization’s total costs and increase the loyal customers' satisfaction level.

To investigate the application of the proposed method, a real-life case study on vaccine distribution at Imam Khomeini Hospital in Tehran has been addressed to ensure model validation. The proposed model’s accuracy was assessed as excellent based on the results generated by the ML algorithms, problem modeling and case study.

Prioritizing customers based on their value with the help of ML algorithms and optimizing the waiting queues to reduce customers' waiting time based on a mathematical model could lead to an increase in satisfaction levels among loyal customers and prevent their churn. This study’s uniqueness lies in its focus on determining the policy in which customers receive products based on their value in the queue, which is a relatively rare topic of research in queueing management systems. Additionally, the results obtained from the study provide strong validation for the model’s functionality.

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A priority queueing-inventory approach for inventory management in multi-channel service retailing using machine learning algorithms10.1108/K-07-2023-1281Kybernetes2024-01-12© 2023 Emerald Publishing LimitedNasser AbdaliSaeideh HeidariMohammad Alipour-VaeziFariborz JolaiAmir AghsamiKybernetesahead-of-printahead-of-print2024-01-1210.1108/K-07-2023-1281https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1281/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Game-theoretical study of military–civilian collaborative innovation in the context of four-party participationhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1289/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the context of constructing an integrated national strategic system, collaborative innovation among enterprises is the current social focus. Therefore, in order to find the interest relationship between multiple game subjects, to explore the influencing factors of collaborative innovation of civil-military integration enterprises. This paper constructs a collaborative innovation mechanism for military–civilian integration involving four game subjects (military enterprises, private enterprises, local governments, and science and technology intermediaries). It aims to solve and reveal the evolutionary game relationship among the four parties. To explore the mechanism of military–civilian collaborative innovation involving four players, this study employs game theory and constructs an evolutionary game model for collaborative innovation with the participation of military enterprises, civilian enterprises, local governments, and technology intermediaries. The model reveals the evolutionary game patterns among these four entities, analyzes the impact of various parameters on the evolutionary process of the game system, and numerical simulation is used to show these changes more specifically. The research findings demonstrate that active government subsidies promote cooperation throughout the system. Moreover, increasing the input-output ratio of research and development (R&D), the rate of technological spillovers, and the R&D investment of civilian enterprises all facilitate the tendency toward cooperation within the system. However, when the government chooses to actively provide subsidies, increasing R&D investment in military enterprises may hinder the tendency toward cooperation. Furthermore, central transfer payments, government punishment from the central government, and an increase in the information conversion rate of technology intermediaries may suppress the rate of cooperation within the system. Most of the previous studies on the collaborative innovation of military–civilian integration have been tripartite game models between military enterprises, private enterprises, and local governments. In contrast, this study adds science and technology intermediaries on this basis, reveals the evolution mechanism of collaborative innovation of civil-military integration enterprises from the perspective of four-party participation, and analyzes the factors influencing the cooperation of the whole system. The conclusion of this study not only enriches the collaborative innovation evolution mechanism of military–civilian integration enterprises from the perspective of multiple agents but also provides practical guidance for the innovation-driven development of military–civilian integration enterprises.Game-theoretical study of military–civilian collaborative innovation in the context of four-party participation
Ning Qi, Shiping Lu, Hao Jing
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the context of constructing an integrated national strategic system, collaborative innovation among enterprises is the current social focus. Therefore, in order to find the interest relationship between multiple game subjects, to explore the influencing factors of collaborative innovation of civil-military integration enterprises. This paper constructs a collaborative innovation mechanism for military–civilian integration involving four game subjects (military enterprises, private enterprises, local governments, and science and technology intermediaries). It aims to solve and reveal the evolutionary game relationship among the four parties.

To explore the mechanism of military–civilian collaborative innovation involving four players, this study employs game theory and constructs an evolutionary game model for collaborative innovation with the participation of military enterprises, civilian enterprises, local governments, and technology intermediaries. The model reveals the evolutionary game patterns among these four entities, analyzes the impact of various parameters on the evolutionary process of the game system, and numerical simulation is used to show these changes more specifically.

The research findings demonstrate that active government subsidies promote cooperation throughout the system. Moreover, increasing the input-output ratio of research and development (R&D), the rate of technological spillovers, and the R&D investment of civilian enterprises all facilitate the tendency toward cooperation within the system. However, when the government chooses to actively provide subsidies, increasing R&D investment in military enterprises may hinder the tendency toward cooperation. Furthermore, central transfer payments, government punishment from the central government, and an increase in the information conversion rate of technology intermediaries may suppress the rate of cooperation within the system.

Most of the previous studies on the collaborative innovation of military–civilian integration have been tripartite game models between military enterprises, private enterprises, and local governments. In contrast, this study adds science and technology intermediaries on this basis, reveals the evolution mechanism of collaborative innovation of civil-military integration enterprises from the perspective of four-party participation, and analyzes the factors influencing the cooperation of the whole system. The conclusion of this study not only enriches the collaborative innovation evolution mechanism of military–civilian integration enterprises from the perspective of multiple agents but also provides practical guidance for the innovation-driven development of military–civilian integration enterprises.

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Game-theoretical study of military–civilian collaborative innovation in the context of four-party participation10.1108/K-07-2023-1289Kybernetes2024-02-26© 2024 Emerald Publishing LimitedNing QiShiping LuHao JingKybernetesahead-of-printahead-of-print2024-02-2610.1108/K-07-2023-1289https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1289/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Assessing indirect effect of behavioral intentions on financial inclusion – a serial mediation modelhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1295/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe research examines how behavioral intentions, as a higher-order construct, indirectly affect financial inclusion through service trust, usage behavior and financial literacy in mobile money adoption. Following the positivist research philosophy, a cross-sectional study design was used to collect data through questionnaires comprised of scales adapted from prior studies. With a usable sample size of 340 respondents, this study employs partial least squares structural equation modeling to assess the model. The study revealed the significant indirect role of behavioral intention on financial inclusion through use behavior, behavioral intentions on use behavior through service trust, and use behavior on financial inclusion through financial literacy. The role of behavioral intentions on financial inclusion through serial mediation of service trust, use behavior and financial literacy was also found to be significant. This study's novelty resides in examining the indirect relationship between behavioral intentions and financial inclusion, specifically via the serial mediation of service trust, use behavior and financial literacy.Assessing indirect effect of behavioral intentions on financial inclusion – a serial mediation model
Muhammad Aamir Shaheen, Shoaib Aslam, Salman Mahmood, Mumtaz Ahmad, Sumaira Tabassum
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The research examines how behavioral intentions, as a higher-order construct, indirectly affect financial inclusion through service trust, usage behavior and financial literacy in mobile money adoption.

Following the positivist research philosophy, a cross-sectional study design was used to collect data through questionnaires comprised of scales adapted from prior studies. With a usable sample size of 340 respondents, this study employs partial least squares structural equation modeling to assess the model.

The study revealed the significant indirect role of behavioral intention on financial inclusion through use behavior, behavioral intentions on use behavior through service trust, and use behavior on financial inclusion through financial literacy. The role of behavioral intentions on financial inclusion through serial mediation of service trust, use behavior and financial literacy was also found to be significant.

This study's novelty resides in examining the indirect relationship between behavioral intentions and financial inclusion, specifically via the serial mediation of service trust, use behavior and financial literacy.

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Assessing indirect effect of behavioral intentions on financial inclusion – a serial mediation model10.1108/K-07-2023-1295Kybernetes2023-12-05© 2023 Emerald Publishing LimitedMuhammad Aamir ShaheenShoaib AslamSalman MahmoodMumtaz AhmadSumaira TabassumKybernetesahead-of-printahead-of-print2023-12-0510.1108/K-07-2023-1295https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1295/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Cognitive ability and stock market participation: evidence from Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1296/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIt is imperative for policymakers, financial institutions, and individual investors to comprehend the factors that impact stock market participation, given the growing significance of the stock market in terms of personal and national wealth. This study endeavours to explore the relationship between cognitive ability and participation in the stock market. We examine the relationship between cognitive abilities and stock market participation, and further explore the mechanism of their influence. The data from the China Family Panel Studies is utilized, and Tobit and Probit regressions are employed. Additionally, an instrumental variable approach (IV-estimate) is implemented to address the endogeneity issue linked to cognitive ability, and the study’s findings are resilient. The results reveal a significant positive relationship between cognitive ability and stock market participation. Additionally, the findings suggest that households with higher cognitive ability tend to aggregate more information, expand social networks, and take more risks. A likely explanation is that individuals with higher cognitive ability are more likely to process more external information and evaluate the subjective uncertainty of stock markets based on a well-defined probability distribution. Our findings indicate that the impact of cognitive ability on stock market participation varies among families with differing education levels, genders, marital statuses, and geographical locations. Therefore, the roles of cognitive abilities in accelerating stock market participation should be fully considered. More information channels and sources that contain financial markets’ information (e.g. mobile applications and financial education) should be provided. Thus, the significance of cognitive ability in increasing stock market participation should be fully considered. Providing more information channels and sources, such as mobile applications and financial education, that contain financial markets’ information would be helpful. Our study contributes to promoting financial literacy and inclusion by highlighting the significant positive impact of cognitive ability, where institutions can tailor their outreach efforts and information channels to better serve individuals with different cognitive ability.Cognitive ability and stock market participation: evidence from China
Shulin Xu, Ibrahim Alnafrah, Abd Alwahed Dagestani
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

It is imperative for policymakers, financial institutions, and individual investors to comprehend the factors that impact stock market participation, given the growing significance of the stock market in terms of personal and national wealth. This study endeavours to explore the relationship between cognitive ability and participation in the stock market. We examine the relationship between cognitive abilities and stock market participation, and further explore the mechanism of their influence.

The data from the China Family Panel Studies is utilized, and Tobit and Probit regressions are employed. Additionally, an instrumental variable approach (IV-estimate) is implemented to address the endogeneity issue linked to cognitive ability, and the study’s findings are resilient.

The results reveal a significant positive relationship between cognitive ability and stock market participation. Additionally, the findings suggest that households with higher cognitive ability tend to aggregate more information, expand social networks, and take more risks. A likely explanation is that individuals with higher cognitive ability are more likely to process more external information and evaluate the subjective uncertainty of stock markets based on a well-defined probability distribution. Our findings indicate that the impact of cognitive ability on stock market participation varies among families with differing education levels, genders, marital statuses, and geographical locations.

Therefore, the roles of cognitive abilities in accelerating stock market participation should be fully considered. More information channels and sources that contain financial markets’ information (e.g. mobile applications and financial education) should be provided. Thus, the significance of cognitive ability in increasing stock market participation should be fully considered. Providing more information channels and sources, such as mobile applications and financial education, that contain financial markets’ information would be helpful. Our study contributes to promoting financial literacy and inclusion by highlighting the significant positive impact of cognitive ability, where institutions can tailor their outreach efforts and information channels to better serve individuals with different cognitive ability.

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Cognitive ability and stock market participation: evidence from China10.1108/K-07-2023-1296Kybernetes2024-03-01© 2024 Emerald Publishing LimitedShulin XuIbrahim AlnafrahAbd Alwahed DagestaniKybernetesahead-of-printahead-of-print2024-03-0110.1108/K-07-2023-1296https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1296/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
To be a cyborg or not: exploring the mechanisms between digital literacy and neural implant acceptancehttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1297/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research aims to reveal the working principles of the decision mechanism that affects the use of neural implant acceptance and to discuss the leading role of digital literacy in this mechanism. In addition, it aimed to examine the theoretical connections of the research model with the conservation of resources (COR) and technology acceptance model (TAM) theories in the discussion. The authors collected data from 300 individuals in an organization operating in the health sector and analyzed the data in the Smart Partial Least Squares (PLS) 3.3.3. This way, the authors determined the relationships between the variables, the path coefficients and the significance levels. The study has found that strong digital literacy skills are linked to positive emotions and attitudes. Additionally, maintaining a positive mindset can improve one's understanding of ethics. Ethical attitudes and positive emotions can also increase the likelihood of adopting neural implants. Therefore, it is crucial to consider both technical and ethical concerns and emotions when deciding whether to use neural implants. The research results determined the links between the cognitive, emotional and ethical factors in the cyborgization process of the employees and gave original insights to the managers and employees. Determination of antecedents that affect individuals' acceptance of neural implant use.Application to 300 individuals working in a health organization.Path analysis using the least squares method via Smart PLS 3.3.3Significant path coefficients among digital literacy, positive emotions, attitude, ethical understanding and acceptance of neural implant use.To be a cyborg or not: exploring the mechanisms between digital literacy and neural implant acceptance
Kerem Toker, Mine Afacan Fındıklı, Zekiye İrem Gözübol, Ali̇ Görener
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research aims to reveal the working principles of the decision mechanism that affects the use of neural implant acceptance and to discuss the leading role of digital literacy in this mechanism. In addition, it aimed to examine the theoretical connections of the research model with the conservation of resources (COR) and technology acceptance model (TAM) theories in the discussion.

The authors collected data from 300 individuals in an organization operating in the health sector and analyzed the data in the Smart Partial Least Squares (PLS) 3.3.3. This way, the authors determined the relationships between the variables, the path coefficients and the significance levels.

The study has found that strong digital literacy skills are linked to positive emotions and attitudes. Additionally, maintaining a positive mindset can improve one's understanding of ethics. Ethical attitudes and positive emotions can also increase the likelihood of adopting neural implants. Therefore, it is crucial to consider both technical and ethical concerns and emotions when deciding whether to use neural implants.

The research results determined the links between the cognitive, emotional and ethical factors in the cyborgization process of the employees and gave original insights to the managers and employees.

  1. Determination of antecedents that affect individuals' acceptance of neural implant use.

  2. Application to 300 individuals working in a health organization.

  3. Path analysis using the least squares method via Smart PLS 3.3.3

  4. Significant path coefficients among digital literacy, positive emotions, attitude, ethical understanding and acceptance of neural implant use.

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To be a cyborg or not: exploring the mechanisms between digital literacy and neural implant acceptance10.1108/K-07-2023-1297Kybernetes2023-10-20© 2023 Emerald Publishing LimitedKerem TokerMine Afacan FındıklıZekiye İrem GözübolAli̇ GörenerKybernetesahead-of-printahead-of-print2023-10-2010.1108/K-07-2023-1297https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1297/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
User profiling for Chinese super-new generation wine consumers based on improved density peak clustering algorithmhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1309/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestFor a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences. We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups. In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid. Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing. In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.User profiling for Chinese super-new generation wine consumers based on improved density peak clustering algorithm
Yumeng Feng, Weisong Mu, Yue Li, Tianqi Liu, Jianying Feng
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.

We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.

In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.

Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.

In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.

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User profiling for Chinese super-new generation wine consumers based on improved density peak clustering algorithm10.1108/K-07-2023-1309Kybernetes2024-02-22© 2024 Emerald Publishing LimitedYumeng FengWeisong MuYue LiTianqi LiuJianying FengKybernetesahead-of-printahead-of-print2024-02-2210.1108/K-07-2023-1309https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1309/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Gender diversity effects on investment decisions: a study of Shark Tankhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1311/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper investigates gender disparity in investment decisions within the popular American TV show Shark Tank. The research uses a comprehensive dataset of 925 pitches from 14 seasons and 316 episodes, covering August 2009 to May 2023. Contrary to previous studies, the findings indicate that female entrepreneurs do n'ot face discrimination in terms of their pitching success rates, regardless of their industry affiliation. However, the authors did observe that female entrepreneurs tend to receive lower valuations, both self-assessed and in final deals. This suggests a self-imposed gender gap in venture capital and angel investing, likely stemming from lower entrepreneurial aspirations among women. To tackle this issue, the authors propose promoting female venture capital by increasing the representation of female entrepreneurs and business angels on Shark Tank. Such role models can inspire aspiring women in these fields. Additionally, the authors believe that mixed-gender founder teams, comprising both men and women, can play a significant role in developing promising startups with viable business models.Gender diversity effects on investment decisions: a study of Shark Tank
Shahid Hussain, Abdul Rasheed, Mahmoona Mahmood
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper investigates gender disparity in investment decisions within the popular American TV show Shark Tank.

The research uses a comprehensive dataset of 925 pitches from 14 seasons and 316 episodes, covering August 2009 to May 2023.

Contrary to previous studies, the findings indicate that female entrepreneurs do n'ot face discrimination in terms of their pitching success rates, regardless of their industry affiliation. However, the authors did observe that female entrepreneurs tend to receive lower valuations, both self-assessed and in final deals. This suggests a self-imposed gender gap in venture capital and angel investing, likely stemming from lower entrepreneurial aspirations among women.

To tackle this issue, the authors propose promoting female venture capital by increasing the representation of female entrepreneurs and business angels on Shark Tank. Such role models can inspire aspiring women in these fields. Additionally, the authors believe that mixed-gender founder teams, comprising both men and women, can play a significant role in developing promising startups with viable business models.

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Gender diversity effects on investment decisions: a study of Shark Tank10.1108/K-07-2023-1311Kybernetes2023-10-06© 2023 Emerald Publishing LimitedShahid HussainAbdul RasheedMahmoona MahmoodKybernetesahead-of-printahead-of-print2023-10-0610.1108/K-07-2023-1311https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1311/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The nexus of foreign direct investment and agricultural productivity: does absorptive capacity matter?https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1323/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to examine the complex effects of foreign direct investment (FDI) on China’s agricultural total factor productivity (TFP) from 2005 to 2020. It also explores the role of absorptive capacity as a moderating factor during this period. Employing provincial panel data from China, this research measures agricultural TFP using the Stochastic Frontier Approach (SFA)-Malmquist method. The impact of FDI on agricultural productivity is further analyzed using a nondynamic panel threshold model. The results highlight technological progress as the main driver of agricultural TFP growth in China. Agricultural FDI (AFDI) seems to impede TFP development, whereas nonagricultural FDI (NAFDI) shows a distinct positive spillover effect. The study reveals a threshold in absorptive capacity that affects both the direct and spillover impacts of FDI. Provinces with higher absorptive capacity are less negatively impacted by AFDI and more likely to benefit from FDI spillovers (FDISs). This study provides new insights into the intricate relationship between FDI, absorptive capacity and agricultural productivity. It underscores the importance of optimizing technological progress and research and development (R&D) to enhance agricultural productivity in China.The nexus of foreign direct investment and agricultural productivity: does absorptive capacity matter?
Yan Han, Yanqi Sun, Kevin Huang, Cheng Xu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to examine the complex effects of foreign direct investment (FDI) on China’s agricultural total factor productivity (TFP) from 2005 to 2020. It also explores the role of absorptive capacity as a moderating factor during this period.

Employing provincial panel data from China, this research measures agricultural TFP using the Stochastic Frontier Approach (SFA)-Malmquist method. The impact of FDI on agricultural productivity is further analyzed using a nondynamic panel threshold model.

The results highlight technological progress as the main driver of agricultural TFP growth in China. Agricultural FDI (AFDI) seems to impede TFP development, whereas nonagricultural FDI (NAFDI) shows a distinct positive spillover effect. The study reveals a threshold in absorptive capacity that affects both the direct and spillover impacts of FDI. Provinces with higher absorptive capacity are less negatively impacted by AFDI and more likely to benefit from FDI spillovers (FDISs).

This study provides new insights into the intricate relationship between FDI, absorptive capacity and agricultural productivity. It underscores the importance of optimizing technological progress and research and development (R&D) to enhance agricultural productivity in China.

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The nexus of foreign direct investment and agricultural productivity: does absorptive capacity matter?10.1108/K-07-2023-1323Kybernetes2024-01-18© 2023 Emerald Publishing LimitedYan HanYanqi SunKevin HuangCheng XuKybernetesahead-of-printahead-of-print2024-01-1810.1108/K-07-2023-1323https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1323/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Evolution and thematic structure of research on e-health literacyhttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1340/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study was carried out to examine the volume and annual growth pattern of research on e-health literacy research, investigate the open-access types of e-health literacy research and perform document production by country and by sources. The study also mapped the keywords used by authors to represent e-health literacy research and performed an analysis of the clusters of the keywords to reveal the thematic focus of research in the area. The research was guided by a bibliometric approach involving visualization using VosViewer. Data were sourced from Scopus database using a syntax that was tested and verified to be capable of yielding reliable data on the subject matter. The analysis in this study was based on bibliographic data and keywords. A total number of 1,176 documents were produced during 2006 and 2022. The majority of the documents (18.90%) were published based on hybrid open-access processes, and the USA has the highest contributions. The Journal of Medical Internet Research is the venue for most of the documents on the subject. The 1,176 documents were described by 5,047 keywords, 4.29 keywords per document, and the keywords were classified into five clusters that aptly capture the thematic structure of research in the area. e-Health literacy has experienced significant growth in research production from 2006 to 2022, with an average of 69 documents per year. Research on e-health literacy initially had low output but began to increase in 2018. The majority of e-health literacy documents are available through open access, with the USA being the leading contributor. The analysis of keywords reveals the multifaceted nature of e-health literacy, including access to information, attitudes, measurement tools, awareness, age factors and communication. Clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers and effective communication in healthcare. This study has practical implications for health promotion. There is also the element of patient empowerment in which case patients are allowed to take an active role in their healthcare. By understanding their health information and having access to resources that help them manage their conditions, patients can make informed decisions about their healthcare. Finally, there is the issue of improved health outcomes which can be achieved by improving patients' e-health literacy. Visualisation of e-health literacy can help bridge the gap between patients and healthcare providers, promote patient-centered care and improve health outcomes. Research production on e-Health literacy has experienced significant growth from 2006 to 2022, with an average of 69 documents per year. Many e-health literacy documents are available through open access, and the USA is the leading contributor. The analysis of keywords reveals the nature of e-health literacy, including access to information, attitudes, measurement tools, awareness and communication. The clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers, and effective communication in healthcare.Evolution and thematic structure of research on e-health literacy
Williams E. Nwagwu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study was carried out to examine the volume and annual growth pattern of research on e-health literacy research, investigate the open-access types of e-health literacy research and perform document production by country and by sources. The study also mapped the keywords used by authors to represent e-health literacy research and performed an analysis of the clusters of the keywords to reveal the thematic focus of research in the area.

The research was guided by a bibliometric approach involving visualization using VosViewer. Data were sourced from Scopus database using a syntax that was tested and verified to be capable of yielding reliable data on the subject matter. The analysis in this study was based on bibliographic data and keywords.

A total number of 1,176 documents were produced during 2006 and 2022. The majority of the documents (18.90%) were published based on hybrid open-access processes, and the USA has the highest contributions. The Journal of Medical Internet Research is the venue for most of the documents on the subject. The 1,176 documents were described by 5,047 keywords, 4.29 keywords per document, and the keywords were classified into five clusters that aptly capture the thematic structure of research in the area.

e-Health literacy has experienced significant growth in research production from 2006 to 2022, with an average of 69 documents per year. Research on e-health literacy initially had low output but began to increase in 2018. The majority of e-health literacy documents are available through open access, with the USA being the leading contributor. The analysis of keywords reveals the multifaceted nature of e-health literacy, including access to information, attitudes, measurement tools, awareness, age factors and communication. Clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers and effective communication in healthcare.

This study has practical implications for health promotion. There is also the element of patient empowerment in which case patients are allowed to take an active role in their healthcare. By understanding their health information and having access to resources that help them manage their conditions, patients can make informed decisions about their healthcare. Finally, there is the issue of improved health outcomes which can be achieved by improving patients' e-health literacy. Visualisation of e-health literacy can help bridge the gap between patients and healthcare providers, promote patient-centered care and improve health outcomes.

Research production on e-Health literacy has experienced significant growth from 2006 to 2022, with an average of 69 documents per year. Many e-health literacy documents are available through open access, and the USA is the leading contributor. The analysis of keywords reveals the nature of e-health literacy, including access to information, attitudes, measurement tools, awareness and communication. The clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers, and effective communication in healthcare.

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Evolution and thematic structure of research on e-health literacy10.1108/K-07-2023-1340Kybernetes2024-02-15© 2024 Emerald Publishing LimitedWilliams E. NwagwuKybernetesahead-of-printahead-of-print2024-02-1510.1108/K-07-2023-1340https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1340/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Unleashing the findings: exploring the interaction between intellectual capital and e-banking proactivenesshttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1341/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to present a research model to investigate the potential impact of human capital, structural capital and social capital on e-banking proactiveness. In addition, it reveals the potential impact of e-banking proactiveness on competitive intelligence and competitive agility. Also, it aims to explore the impact of competitive intelligence on competitive advantage and competitive agility. Finally, the impact of competitive agility on competitive advantage will be examined. In order to gather data, a questionnaire was prepared and administered to 211 respondents in Jordan. The research model and hypotheses were then assessed using Structural Equation Modeling – Partial Least Squares (SEM-PLS). The study demonstrated a significant impact of human capital, structural capital and social capital on e-banking proactiveness. The findings confirm that e-banking proactiveness significantly impacts competitive intelligence and achieving competition. Moreover, the findings confirm that competitive intelligence significantly impacts competitive agility. Also, the findings revealed a substantial relationship between competitive intelligence and competitive advantage. Finally, the results discovered that competitive agility significantly impacts competitive advantage. The research gives valuable insights into the elements that drive e-banking proactiveness, which can beautify the proactiveness literature is well-known. By uncovering the position of intellectual capital in fostering proactiveness, this examination contributes to deeper information on the way financial institutions can successfully respond to market modifications, patron needs and technological advancements. Future scholars can build upon these findings to discover proactiveness in different sectors and industries, thereby broadening the understanding of proactive behaviors throughout numerous contexts.Unleashing the findings: exploring the interaction between intellectual capital and e-banking proactiveness
Ayman Abdalmajeed Alsmadi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to present a research model to investigate the potential impact of human capital, structural capital and social capital on e-banking proactiveness. In addition, it reveals the potential impact of e-banking proactiveness on competitive intelligence and competitive agility. Also, it aims to explore the impact of competitive intelligence on competitive advantage and competitive agility. Finally, the impact of competitive agility on competitive advantage will be examined.

In order to gather data, a questionnaire was prepared and administered to 211 respondents in Jordan. The research model and hypotheses were then assessed using Structural Equation Modeling – Partial Least Squares (SEM-PLS).

The study demonstrated a significant impact of human capital, structural capital and social capital on e-banking proactiveness. The findings confirm that e-banking proactiveness significantly impacts competitive intelligence and achieving competition. Moreover, the findings confirm that competitive intelligence significantly impacts competitive agility. Also, the findings revealed a substantial relationship between competitive intelligence and competitive advantage. Finally, the results discovered that competitive agility significantly impacts competitive advantage.

The research gives valuable insights into the elements that drive e-banking proactiveness, which can beautify the proactiveness literature is well-known. By uncovering the position of intellectual capital in fostering proactiveness, this examination contributes to deeper information on the way financial institutions can successfully respond to market modifications, patron needs and technological advancements. Future scholars can build upon these findings to discover proactiveness in different sectors and industries, thereby broadening the understanding of proactive behaviors throughout numerous contexts.

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Unleashing the findings: exploring the interaction between intellectual capital and e-banking proactiveness10.1108/K-07-2023-1341Kybernetes2024-01-04© 2023 Emerald Publishing LimitedAyman Abdalmajeed AlsmadiKybernetesahead-of-printahead-of-print2024-01-0410.1108/K-07-2023-1341https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1341/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Mega-infrastructure development, tourism sustainability and quality of life assessment at world heritage sites: catering to COVID-19 challengeshttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1345/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestMega-infrastructure development plans pave the way for policies to upgrade the infrastructure, environmental management and different aspects of locals’ well-being. These developmental dynamics can positively affect rural tourism including heritage sites destinations. The quality of life of local people can be linked to this positive developmental change through long-term and sustainable economic revitalization projects. In terms of this process, developing large-scale infrastructure and incorporating tourism sustainability can improve the quality of life-related to different dimensions that are critical to the community's well-being. Therefore, researchers have attempted to address this issue. Data were collected between September and October 2020. The study sample size was the residents of Zhabagly village, including Zhabagaly, Abaiyl and 115 Railway settlements. Moreover, the residents were older than 18 years. A systematic random sampling technique was utilised to reach the targeted sample size and the researchers received 243 responses from the locals. Structural equation modelling (SEM) was used for analysis. The findings from the structural equation modelling suggest that sustainable tourism increases due to the positive effect of mega-infrastructure development and positively impacts the locals' quality of life. Notably, no direct effect of mega-infrastructure development on quality of life reveals the pivotal role of sustainable tourism. Therefore, during the COVID-19 period, the dimensions of sustainable tourism – economic, market, socio-cultural and environmental – played a role in securing the positive impact of mega-infrastructure development on the locals’ quality of life. This research highlighted the fact that when infrastructure projects are implemented to their full potential, they will generate sustainable tourism activities, provide eco-adventure activities, relax, treat signatories and boost the economy of all stakeholders. The study used AMOS to test the hypotheses. Qualitative research methods, including interviews with citizens, government officials and tourism managers, require further study. The infrastructural development on a mega-scale means building an upscaling tourism ecosystem. This ecosystem is marked by the availability of drinking water, waste and energy management facilities that support the elevation of living material, community, health, safety and emotional well-being. It reflects the policy-level implications for future Belt and Road initiatives (BRIs). The tourism industry's resilience during COVID-19 has practical lessons for other industries. Large-scale infrastructure construction must create favourable conditions for the rapid development of tourism. The availability of clean water, waste and energy management facilities contributes to the food production, social cohesion, physical and mental health and general well-being of the ecosystem. This is one of the few studies that used sustainable tourism as a mediator between the impact of large infrastructure projects and their impact on the quality of life of locals during the COVID-19 pandemic. Aksu-Zhabagly, a World Heritage Site in Kazakhstan, was the site of this field study.Mega-infrastructure development, tourism sustainability and quality of life assessment at world heritage sites: catering to COVID-19 challenges
Jaffar Abbas, Gulnara Mamirkulova, Ibrahim Al-Sulaiti, Khalid Ibrahim Al-Sulaiti, Imran Bashir Dar
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Mega-infrastructure development plans pave the way for policies to upgrade the infrastructure, environmental management and different aspects of locals’ well-being. These developmental dynamics can positively affect rural tourism including heritage sites destinations. The quality of life of local people can be linked to this positive developmental change through long-term and sustainable economic revitalization projects. In terms of this process, developing large-scale infrastructure and incorporating tourism sustainability can improve the quality of life-related to different dimensions that are critical to the community's well-being. Therefore, researchers have attempted to address this issue.

Data were collected between September and October 2020. The study sample size was the residents of Zhabagly village, including Zhabagaly, Abaiyl and 115 Railway settlements. Moreover, the residents were older than 18 years. A systematic random sampling technique was utilised to reach the targeted sample size and the researchers received 243 responses from the locals. Structural equation modelling (SEM) was used for analysis.

The findings from the structural equation modelling suggest that sustainable tourism increases due to the positive effect of mega-infrastructure development and positively impacts the locals' quality of life. Notably, no direct effect of mega-infrastructure development on quality of life reveals the pivotal role of sustainable tourism. Therefore, during the COVID-19 period, the dimensions of sustainable tourism – economic, market, socio-cultural and environmental – played a role in securing the positive impact of mega-infrastructure development on the locals’ quality of life.

This research highlighted the fact that when infrastructure projects are implemented to their full potential, they will generate sustainable tourism activities, provide eco-adventure activities, relax, treat signatories and boost the economy of all stakeholders. The study used AMOS to test the hypotheses. Qualitative research methods, including interviews with citizens, government officials and tourism managers, require further study.

The infrastructural development on a mega-scale means building an upscaling tourism ecosystem. This ecosystem is marked by the availability of drinking water, waste and energy management facilities that support the elevation of living material, community, health, safety and emotional well-being. It reflects the policy-level implications for future Belt and Road initiatives (BRIs). The tourism industry's resilience during COVID-19 has practical lessons for other industries.

Large-scale infrastructure construction must create favourable conditions for the rapid development of tourism. The availability of clean water, waste and energy management facilities contributes to the food production, social cohesion, physical and mental health and general well-being of the ecosystem. This is one of the few studies that used sustainable tourism as a mediator between the impact of large infrastructure projects and their impact on the quality of life of locals during the COVID-19 pandemic. Aksu-Zhabagly, a World Heritage Site in Kazakhstan, was the site of this field study.

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Mega-infrastructure development, tourism sustainability and quality of life assessment at world heritage sites: catering to COVID-19 challenges10.1108/K-07-2023-1345Kybernetes2024-01-04© 2023 Emerald Publishing LimitedJaffar AbbasGulnara MamirkulovaIbrahim Al-SulaitiKhalid Ibrahim Al-SulaitiImran Bashir DarKybernetesahead-of-printahead-of-print2024-01-0410.1108/K-07-2023-1345https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1345/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Employing S-O-R approach in linking mobile commerce ubiquity with usage behavior: roles of product reputation and brand trusthttps://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1359/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to highlight the effect of mobile commerce (m-commerce) ubiquity on usage behavior as well as the mediator mechanism of brand trust between ubiquity and usage behavior. To extend the findings, this research also examines the moderator role of product reputation on the nexus between brand trust and usage behavior in the m-commerce context. Given the quantitative approach, the authors gathered 1,565 valid responses from m-commerce app users. Data were analyzed in SmartPLS 4. Ubiquity positively impacted brand trust, and the latter positively influenced m-commerce usage behavior. Brand trust also partially mediated the effect of m-commerce ubiquity on usage behavior, along with product reputation moderating the positive effect of brand trust on usage behavior. By combining resource-based theory with signaling theory in the stimulus-organism-response (S-O-R) framework, this paper's novelty focuses on the investigation of m-commerce ubiquity, brand trust as a mediating mechanism and product reputation as a moderator in explaining usage behavior in the m-commerce context.Employing S-O-R approach in linking mobile commerce ubiquity with usage behavior: roles of product reputation and brand trust
Islam Elgammal, Chai Ching Tan, Leonardo Aureliano-Silva, Kareem M. Selem
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to highlight the effect of mobile commerce (m-commerce) ubiquity on usage behavior as well as the mediator mechanism of brand trust between ubiquity and usage behavior. To extend the findings, this research also examines the moderator role of product reputation on the nexus between brand trust and usage behavior in the m-commerce context.

Given the quantitative approach, the authors gathered 1,565 valid responses from m-commerce app users. Data were analyzed in SmartPLS 4.

Ubiquity positively impacted brand trust, and the latter positively influenced m-commerce usage behavior. Brand trust also partially mediated the effect of m-commerce ubiquity on usage behavior, along with product reputation moderating the positive effect of brand trust on usage behavior.

By combining resource-based theory with signaling theory in the stimulus-organism-response (S-O-R) framework, this paper's novelty focuses on the investigation of m-commerce ubiquity, brand trust as a mediating mechanism and product reputation as a moderator in explaining usage behavior in the m-commerce context.

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Employing S-O-R approach in linking mobile commerce ubiquity with usage behavior: roles of product reputation and brand trust10.1108/K-07-2023-1359Kybernetes2023-11-01© 2023 Emerald Publishing LimitedIslam ElgammalChai Ching TanLeonardo Aureliano-SilvaKareem M. SelemKybernetesahead-of-printahead-of-print2023-11-0110.1108/K-07-2023-1359https://www.emerald.com/insight/content/doi/10.1108/K-07-2023-1359/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Impact of service innovation and digital supply chain capability on risk protection in supporting online foods deliveryhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1082/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study has aimed to investigate the impact of service innovation capabilities (SIC), supply chain digitalization capabilities (SDC) and customer risk protection (CRP) capabilities of GrabFood on customer satisfaction. GrabFood has been chosen as a case study because GrabPay is one of the Malaysian government's digital wallet partners, and GrabFood is one of the region's leading Online Food Delivery Service (OFDS) providers. A total of 410 valid responses have been gathered from the GrabFood users for data analysis using the partial least square technique. The findings reveal that SIC, SDC and CRP of GrabFood have a highly significant influence on customer satisfaction. CRP has been found to partially mediate the relationship between SIC and customer satisfaction and the relationship between SDC and customer satisfaction. OFDS providers need to consider how to minimize the potential risk to be encountered by customers in delivering services that satisfy the customers. OFDS providers must identify the gap between their capabilities and customer perception and continuously improve their service quality to mitigate the gap.Impact of service innovation and digital supply chain capability on risk protection in supporting online foods delivery
Sing Lay Teng, Suhaiza Zailani, Muhammad Khalilur Rahman, Miraj Ahmed Bhuiyan, Abdullah Al Mamun
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study has aimed to investigate the impact of service innovation capabilities (SIC), supply chain digitalization capabilities (SDC) and customer risk protection (CRP) capabilities of GrabFood on customer satisfaction. GrabFood has been chosen as a case study because GrabPay is one of the Malaysian government's digital wallet partners, and GrabFood is one of the region's leading Online Food Delivery Service (OFDS) providers.

A total of 410 valid responses have been gathered from the GrabFood users for data analysis using the partial least square technique.

The findings reveal that SIC, SDC and CRP of GrabFood have a highly significant influence on customer satisfaction. CRP has been found to partially mediate the relationship between SIC and customer satisfaction and the relationship between SDC and customer satisfaction.

OFDS providers need to consider how to minimize the potential risk to be encountered by customers in delivering services that satisfy the customers. OFDS providers must identify the gap between their capabilities and customer perception and continuously improve their service quality to mitigate the gap.

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Impact of service innovation and digital supply chain capability on risk protection in supporting online foods delivery10.1108/K-08-2022-1082Kybernetes2023-03-30© 2023 Emerald Publishing LimitedSing Lay TengSuhaiza ZailaniMuhammad Khalilur RahmanMiraj Ahmed BhuiyanAbdullah Al MamunKybernetesahead-of-printahead-of-print2023-03-3010.1108/K-08-2022-1082https://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1082/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How government subsidies affect technology innovation in the context of Industry 4.0: evidence from Chinese new-energy enterpriseshttps://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1098/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to explore how government subsidies influence technology innovation in new-energy enterprises in the new era of Industry 4.0. Specifically, this study investigates the mediating effect of digital transformation and the moderating effect of a top management team (TMT) with digital experience. Using a sample of 225 listed new-energy companies, with annual information, patent data, and financial data for the years 2010–2020, this study employs panel fixed effect regression models to obtain the results. This study finds strong evidence that government subsidies promote the technology innovation of new-energy enterprises, and digital transformation partially mediates the effect of government subsidies on technology innovation. In addition, a TMT's digital experience moderates the effect of government subsidies on digital transformation, but has no significant moderating effect on the relationship between digital transformation and technology innovation. Further analysis shows that subsidies make a sustained contribution to both digital transformation and technological innovation over the next two years. The digital subsidies have a stronger role in promoting digital transformation and further technological innovation through digital transformation. The Chinese government needs to continue to intermittently increase subsidies for new-energy enterprises, and focus on guiding enterprises' digital transformation. Chinese new-energy enterprises should pay attention to the importance of having TMTs with digital experience, make full use of government subsidies, actively implement digital transformation, and improve their innovation levels. A new conceptual framework is proposed to examine the relationships between government subsidies, digital transformation, a TMT's digital experience, and technology innovation. This paper provides an important theoretical basis and practical reference for improving the technology innovation ability of Chinese new-energy enterprises, and the high-quality development of renewable energy in the context of Industry 4.0.How government subsidies affect technology innovation in the context of Industry 4.0: evidence from Chinese new-energy enterprises
Miaomiao Li, Guikun Cao, Haibo Li, Zhaoxing Hao, Lu Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to explore how government subsidies influence technology innovation in new-energy enterprises in the new era of Industry 4.0. Specifically, this study investigates the mediating effect of digital transformation and the moderating effect of a top management team (TMT) with digital experience.

Using a sample of 225 listed new-energy companies, with annual information, patent data, and financial data for the years 2010–2020, this study employs panel fixed effect regression models to obtain the results.

This study finds strong evidence that government subsidies promote the technology innovation of new-energy enterprises, and digital transformation partially mediates the effect of government subsidies on technology innovation. In addition, a TMT's digital experience moderates the effect of government subsidies on digital transformation, but has no significant moderating effect on the relationship between digital transformation and technology innovation. Further analysis shows that subsidies make a sustained contribution to both digital transformation and technological innovation over the next two years. The digital subsidies have a stronger role in promoting digital transformation and further technological innovation through digital transformation.

The Chinese government needs to continue to intermittently increase subsidies for new-energy enterprises, and focus on guiding enterprises' digital transformation. Chinese new-energy enterprises should pay attention to the importance of having TMTs with digital experience, make full use of government subsidies, actively implement digital transformation, and improve their innovation levels.

A new conceptual framework is proposed to examine the relationships between government subsidies, digital transformation, a TMT's digital experience, and technology innovation. This paper provides an important theoretical basis and practical reference for improving the technology innovation ability of Chinese new-energy enterprises, and the high-quality development of renewable energy in the context of Industry 4.0.

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How government subsidies affect technology innovation in the context of Industry 4.0: evidence from Chinese new-energy enterprises10.1108/K-08-2022-1098Kybernetes2023-07-04© 2023 Emerald Publishing LimitedMiaomiao LiGuikun CaoHaibo LiZhaoxing HaoLu ZhangKybernetesahead-of-printahead-of-print2023-07-0410.1108/K-08-2022-1098https://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1098/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
When workplace incivility begets ineffectual employee silence-the role of rationalized knowledge hiding and regulation of emotionhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1133/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the study is to investigate the relationship between workplace incivility (WIN) and ineffectual employee silence (IES) through rationalized knowledge-hiding (RKH) and regulation of emotion, drawing on the conservation of resources (COR) and social exchange theory (SET). The study employed a cross-sectional design and used the partial least squares (PLS)-structural equational modeling (SEM) algorithm to test the reliability, validity of the measurement and hypotheses using a sample of 252 information technology (IT) professionals. The results demonstrate that experienced WIN and RKH behavior significantly exacerbate IES. On the other side, the regulation of emotion decreases the negative influence of WIN and aids in the reduction of IES. The study suggests that organizations should take appropriate measures to alleviate WIN, which might prevent concealing information/knowledge, IES and encourage employees to practice regulation of emotion. The study significantly contributes to the relationship between uncivil behavior and ES and expands the knowledge on the mediating roles of RKH and regulation of emotion.When workplace incivility begets ineffectual employee silence-the role of rationalized knowledge hiding and regulation of emotion
Balakrishna Ballekura, Lavanya Vilvanathan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the study is to investigate the relationship between workplace incivility (WIN) and ineffectual employee silence (IES) through rationalized knowledge-hiding (RKH) and regulation of emotion, drawing on the conservation of resources (COR) and social exchange theory (SET).

The study employed a cross-sectional design and used the partial least squares (PLS)-structural equational modeling (SEM) algorithm to test the reliability, validity of the measurement and hypotheses using a sample of 252 information technology (IT) professionals.

The results demonstrate that experienced WIN and RKH behavior significantly exacerbate IES. On the other side, the regulation of emotion decreases the negative influence of WIN and aids in the reduction of IES.

The study suggests that organizations should take appropriate measures to alleviate WIN, which might prevent concealing information/knowledge, IES and encourage employees to practice regulation of emotion.

The study significantly contributes to the relationship between uncivil behavior and ES and expands the knowledge on the mediating roles of RKH and regulation of emotion.

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When workplace incivility begets ineffectual employee silence-the role of rationalized knowledge hiding and regulation of emotion10.1108/K-08-2022-1133Kybernetes2023-11-03© 2023 Emerald Publishing LimitedBalakrishna BallekuraLavanya VilvanathanKybernetesahead-of-printahead-of-print2023-11-0310.1108/K-08-2022-1133https://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1133/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Investigating the impact of biophilic design on employee performance and well-being by designing a research instrumenthttps://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1134/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the goal to indicate the importance of human–nature connection in designing workplaces, the authors investigated the effects of direct and indirect biophilic indicators on the well-being and performance of employees of an organization. The main question is what is the effect of biophilic components on the well-being and performance of employees. To answer the research questions, the authors designed and validated an instrument to evaluate correlation between biophilic components with well-being and performance. The participants include 160 employees of one organization. For the data analysis, both descriptive statistical and inferential statistics were used. Pearson's correlation test and ANOVA were conducted to explain the relationship between variables. The results indicated that biophilic components have significant positive relationships with the well-being of the employees, but no significant relationship was found between biophilic components and the performance of the employees. Using the ANOVA test, biophilic indicators that have a positive and significant effect on the well-being and performance of employees were determined. The natural scenery and warm colors has significant positive effects on social well-being, and the usage of natural landscape posters in the working rooms has a positive and significant relationship with psychological well-being. The natural lighting has a positive and significant relationship with the employees' counterproductive work behavior. Most of the questionnaires of this research were filled electronically because of the health protocols during pandemic. Almost 70% of the organization's employees had less than 5 years of work experience, which can be considered one of the interfering factors. In addition, the authors only used the questionnaire as a tool for collecting information in this study. There are other forms of information that can be explored through observations, interviews or experiments. Another limitation of this study is the lack of significant diversity in the investigated environments. Finally, the numbers of male and female participants of this study were not equal. The authors suggest studying both genders with an almost equal ratio so that the differences and needs of both groups can be understood. The designed questionnaire is a validated instrument that can be used by other researchers to evaluate the biophilic design of workplace. These findings can also be useful for managers, companies and organizations in making decisions to improve the working environment and increase the well-being and performance of their employees. The social effects of biophilic design in the workplace are significant as well. The use of biophilic components can foster a sense of connection between employees and their workplace, creating a positive social environment that supports collaboration and communication. Additionally, a biophilic workplace can promote a positive company culture that values the health and well-being of its employees, which can contribute to employee retention and satisfaction. In this study, to determine the effects of the biophilic indicators on dimensions of employees' well-being and performance, an instrument is designed and validated.Investigating the impact of biophilic design on employee performance and well-being by designing a research instrument
Leyla Alipour, Maryam Khoramian
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the goal to indicate the importance of human–nature connection in designing workplaces, the authors investigated the effects of direct and indirect biophilic indicators on the well-being and performance of employees of an organization. The main question is what is the effect of biophilic components on the well-being and performance of employees.

To answer the research questions, the authors designed and validated an instrument to evaluate correlation between biophilic components with well-being and performance. The participants include 160 employees of one organization. For the data analysis, both descriptive statistical and inferential statistics were used. Pearson's correlation test and ANOVA were conducted to explain the relationship between variables.

The results indicated that biophilic components have significant positive relationships with the well-being of the employees, but no significant relationship was found between biophilic components and the performance of the employees. Using the ANOVA test, biophilic indicators that have a positive and significant effect on the well-being and performance of employees were determined. The natural scenery and warm colors has significant positive effects on social well-being, and the usage of natural landscape posters in the working rooms has a positive and significant relationship with psychological well-being. The natural lighting has a positive and significant relationship with the employees' counterproductive work behavior.

Most of the questionnaires of this research were filled electronically because of the health protocols during pandemic. Almost 70% of the organization's employees had less than 5 years of work experience, which can be considered one of the interfering factors. In addition, the authors only used the questionnaire as a tool for collecting information in this study. There are other forms of information that can be explored through observations, interviews or experiments. Another limitation of this study is the lack of significant diversity in the investigated environments. Finally, the numbers of male and female participants of this study were not equal. The authors suggest studying both genders with an almost equal ratio so that the differences and needs of both groups can be understood.

The designed questionnaire is a validated instrument that can be used by other researchers to evaluate the biophilic design of workplace. These findings can also be useful for managers, companies and organizations in making decisions to improve the working environment and increase the well-being and performance of their employees.

The social effects of biophilic design in the workplace are significant as well. The use of biophilic components can foster a sense of connection between employees and their workplace, creating a positive social environment that supports collaboration and communication. Additionally, a biophilic workplace can promote a positive company culture that values the health and well-being of its employees, which can contribute to employee retention and satisfaction.

In this study, to determine the effects of the biophilic indicators on dimensions of employees' well-being and performance, an instrument is designed and validated.

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Investigating the impact of biophilic design on employee performance and well-being by designing a research instrument10.1108/K-08-2022-1134Kybernetes2023-07-07© 2023 Emerald Publishing LimitedLeyla AlipourMaryam KhoramianKybernetesahead-of-printahead-of-print2023-07-0710.1108/K-08-2022-1134https://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1134/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effect of perceived usefulness of recommender systems and information sources on purchase intentionhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1145/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe current study aims to empirically analyze the influence of different information sources, together with the persuasiveness of recommender systems (RSs) on the consumer’s purchase intention (PI). It also expands the research on RSs from the point of view of consumer behavior and psychology, considering perceived usefulness and relevance. In addition, it analyzes how different types of personalized recommendations, along with non-personalized ones, influence PI. The proposed model has been validated using partial least squares structural equation modeling (PLS-SEM), based on the data collected from 597 online shoppers. This study proves that both information search and RSs influence PI, being complementary rather than mutually exclusive. Recommender systems’ findings indicate that the PI is primarily influenced by the perceived relevance of RSs, the information provided by manufacturers and reviews. Moreover, only the influence of the perceived usefulness of personalized recommendations strongly affects PI. Conversely, non-personalized recommendations do not affect PI. Developers should focus on increasing the perceived usefulness and relevance of RSs. Thus, they could adopt the hybridization of RSs with the aggregation of both personal shopping behavior and social network contacts. It should integrate information signals from multiple sources to include sentiment extracted from reviews or links to the manufacturer’s page. Furthermore, the recommendation of discounted products must be only for products preferred by customers, because only these influence the PI. This research provides a structural model that examines together, for the first time, the influence on the PI of the main RSs and sources of information.The effect of perceived usefulness of recommender systems and information sources on purchase intention
Daniel Mican, Dan-Andrei Sitar-Taut
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The current study aims to empirically analyze the influence of different information sources, together with the persuasiveness of recommender systems (RSs) on the consumer’s purchase intention (PI). It also expands the research on RSs from the point of view of consumer behavior and psychology, considering perceived usefulness and relevance. In addition, it analyzes how different types of personalized recommendations, along with non-personalized ones, influence PI.

The proposed model has been validated using partial least squares structural equation modeling (PLS-SEM), based on the data collected from 597 online shoppers.

This study proves that both information search and RSs influence PI, being complementary rather than mutually exclusive. Recommender systems’ findings indicate that the PI is primarily influenced by the perceived relevance of RSs, the information provided by manufacturers and reviews. Moreover, only the influence of the perceived usefulness of personalized recommendations strongly affects PI. Conversely, non-personalized recommendations do not affect PI.

Developers should focus on increasing the perceived usefulness and relevance of RSs. Thus, they could adopt the hybridization of RSs with the aggregation of both personal shopping behavior and social network contacts. It should integrate information signals from multiple sources to include sentiment extracted from reviews or links to the manufacturer’s page. Furthermore, the recommendation of discounted products must be only for products preferred by customers, because only these influence the PI.

This research provides a structural model that examines together, for the first time, the influence on the PI of the main RSs and sources of information.

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The effect of perceived usefulness of recommender systems and information sources on purchase intention10.1108/K-08-2022-1145Kybernetes2023-03-20© 2023 Emerald Publishing LimitedDaniel MicanDan-Andrei Sitar-TautKybernetesahead-of-printahead-of-print2023-03-2010.1108/K-08-2022-1145https://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1145/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The impact of social media usage on expertise coordination and team creative performance in distributed agile software developmenthttps://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1171/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article explores how the social media usage affect team creative performance via transactive memory system, knowledge interaction and expertise coordination. The study is based on the perspective of transaction memory system and expertise coordination theory. A research model was constructed and tested, involving 289 individuals from 67 distributed agile software development teams. The results indicate that social media usage is positively correlated with transactive memory system, and social media usage and transactive memory system have positive relations to knowledge interaction and expertise coordination. Moreover, this analysis shows that knowledge interaction has a positive relationship with expertise coordination, and expertise coordination positively affects team creative performance. However, knowledge interaction has no direct relationship on team creative performance, and its indirect impact on team creative performance was fully mediated by expertise coordination. This research shows that social media usage by distributed agile software development teams can support the development of transactive memory system and promote expertise coordination. In addition, knowledge interaction alone is not enough, and expertise coordination must be achieved to increase team creative performance. First, this paper explores the mechanism of transactive memory system in distributed Agile Software Development teams from the perspective of social media, which is different from the previous information processing theory framework that confined transactive memory system to the cognitive aspects of knowledge coding, storage and retrieval. Second, this research focuses on the knowledge interaction and expertise coordination formed by team members in the process of communication in the context of social media usage, which confirms the crucial roles of social media usage and transactive memory system in team knowledge management and team creative performance. Then, this research also shows that the development of transactive memory system in the team is indeed an important factor to promote knowledge interaction and professional expertise coordination.The impact of social media usage on expertise coordination and team creative performance in distributed agile software development
Jijiao Jiang, Xiao Yang, Cong Zhou
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article explores how the social media usage affect team creative performance via transactive memory system, knowledge interaction and expertise coordination.

The study is based on the perspective of transaction memory system and expertise coordination theory. A research model was constructed and tested, involving 289 individuals from 67 distributed agile software development teams.

The results indicate that social media usage is positively correlated with transactive memory system, and social media usage and transactive memory system have positive relations to knowledge interaction and expertise coordination. Moreover, this analysis shows that knowledge interaction has a positive relationship with expertise coordination, and expertise coordination positively affects team creative performance. However, knowledge interaction has no direct relationship on team creative performance, and its indirect impact on team creative performance was fully mediated by expertise coordination. This research shows that social media usage by distributed agile software development teams can support the development of transactive memory system and promote expertise coordination. In addition, knowledge interaction alone is not enough, and expertise coordination must be achieved to increase team creative performance.

First, this paper explores the mechanism of transactive memory system in distributed Agile Software Development teams from the perspective of social media, which is different from the previous information processing theory framework that confined transactive memory system to the cognitive aspects of knowledge coding, storage and retrieval. Second, this research focuses on the knowledge interaction and expertise coordination formed by team members in the process of communication in the context of social media usage, which confirms the crucial roles of social media usage and transactive memory system in team knowledge management and team creative performance. Then, this research also shows that the development of transactive memory system in the team is indeed an important factor to promote knowledge interaction and professional expertise coordination.

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The impact of social media usage on expertise coordination and team creative performance in distributed agile software development10.1108/K-08-2022-1171Kybernetes2023-05-10© 2023 Emerald Publishing LimitedJijiao JiangXiao YangCong ZhouKybernetesahead-of-printahead-of-print2023-05-1010.1108/K-08-2022-1171https://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1171/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Outsourcing or in-house manufacturing in Hi-tech industry: supply chain process with Delphi-AHP approachhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1172/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTechnological advancements have benefited businesses all over the world in how they set up production lines, create new products/services and trade goods. Multinational corporations can communicate instantly with their distant operations by utilizing information technology tools and communication networks. Businesses have taken a significant shift and new factors have emerged which affect company's competitiveness. In case of resorting to an outsourcing option, a comprehensive approach for valuing the essential criteria is often missing. While specifically focusing on the decisions that have a huge impact on company's performance, it is crucial to pay close attention to the ways of selecting suppliers. The purpose of research is to choose the optimal manufacturing alternative from a set of possibilities. The current research utilizes the Delphi technique for collection of vital criteria such as “quality”, “cost”, “delivery”, “warranties and claims”, “supplier profile”, “relationship and communication” and their respective sub-criteria. The purpose of research is to choose the optimal manufacturing alternative from a set of possibilities. In this regard, Analytical Hierarchy Process (AHP) technique is employed. The current research enlightens that outsourcing can yield promising beneficial results. The results highlighted that in Hi-tech public sector organizations, international alternative is found best in almost all criteria especially in vital criteria such as “Quality”, “Cost”, “Delivery”, “Supplier Profile,” etc. Similarly, in case the outsourcing is done to a Domestic alternative, still the Domestic alternative is found effective in comparison to in-house manufacturing setups. The research showed unexpected results. Because previously it was assumed that in-house manufacturing would be more beneficial. However, the current findings support the “NASA” strategy which moved toward outsourcing to private sector. Limitations of the proposed methodology also produce opportunities for further exploration of the topic. One key limitation of the research described in this study is that the parameters and their sub-parameters interdependency were not taken under consideration. This means that quality and cost are not dependent upon each other. However, in reality quality and cost are interlinked. This means if quality is increased, cost is also increased. Similarly, for products having zero percent of re-claim, the product would have to be manufactured with high quality. The study is advantageous for both suppliers and purchasers, in any type of businesses where decision-making problem are under consideration. This model aids suppliers in revealing, how they can expand their profile, by focusing on the current research's selection criteria. In this way alternatives profile can now be perfected. Moreover, buyers can now rank suppliers on their quality management, financial status and other essential factors in order to conduct purchasing decisions. For the decision maker, the results illustrate which critical factors to evaluate when screening suppliers by applying current model techniques. It is obvious that nearly almost every industry is forced to look for alternatives for all of its operations if outsourcing is an option. The study's findings have major benefits for all industries with an important role in manufacturing and supply chain operations. These objectives will serve the industries well and they will be able to prioritize their alternative selection criteria based on their operations. The findings of this study can assist any organization in their selection of vendors by providing a more detailed explanation of the impact that various criteria have on the decision-making process. To the best of authors' knowledge, no previous study has used two approaches (AHP and Delphi study) to propose a model for making manufacturing decisions with domestic, in house and international alternatives in Hi-tech public sector organizations. The model not only benefits the manufacturers for choosing suitable suppliers but also aids suppliers to build their profile in an improved fashion by focusing on the vital attributes. This research benefits managers to improve their ability to make effective purchasing decisions, and also opens new avenues for researchers to further explore such findings in other areas as well.Outsourcing or in-house manufacturing in Hi-tech industry: supply chain process with Delphi-AHP approach
Sajjad Ali Qureshi, Afshan Naseem, Yasir Ahmad
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Technological advancements have benefited businesses all over the world in how they set up production lines, create new products/services and trade goods. Multinational corporations can communicate instantly with their distant operations by utilizing information technology tools and communication networks. Businesses have taken a significant shift and new factors have emerged which affect company's competitiveness. In case of resorting to an outsourcing option, a comprehensive approach for valuing the essential criteria is often missing. While specifically focusing on the decisions that have a huge impact on company's performance, it is crucial to pay close attention to the ways of selecting suppliers. The purpose of research is to choose the optimal manufacturing alternative from a set of possibilities.

The current research utilizes the Delphi technique for collection of vital criteria such as “quality”, “cost”, “delivery”, “warranties and claims”, “supplier profile”, “relationship and communication” and their respective sub-criteria. The purpose of research is to choose the optimal manufacturing alternative from a set of possibilities. In this regard, Analytical Hierarchy Process (AHP) technique is employed.

The current research enlightens that outsourcing can yield promising beneficial results. The results highlighted that in Hi-tech public sector organizations, international alternative is found best in almost all criteria especially in vital criteria such as “Quality”, “Cost”, “Delivery”, “Supplier Profile,” etc. Similarly, in case the outsourcing is done to a Domestic alternative, still the Domestic alternative is found effective in comparison to in-house manufacturing setups. The research showed unexpected results. Because previously it was assumed that in-house manufacturing would be more beneficial. However, the current findings support the “NASA” strategy which moved toward outsourcing to private sector.

Limitations of the proposed methodology also produce opportunities for further exploration of the topic. One key limitation of the research described in this study is that the parameters and their sub-parameters interdependency were not taken under consideration. This means that quality and cost are not dependent upon each other. However, in reality quality and cost are interlinked. This means if quality is increased, cost is also increased. Similarly, for products having zero percent of re-claim, the product would have to be manufactured with high quality.

The study is advantageous for both suppliers and purchasers, in any type of businesses where decision-making problem are under consideration. This model aids suppliers in revealing, how they can expand their profile, by focusing on the current research's selection criteria. In this way alternatives profile can now be perfected. Moreover, buyers can now rank suppliers on their quality management, financial status and other essential factors in order to conduct purchasing decisions. For the decision maker, the results illustrate which critical factors to evaluate when screening suppliers by applying current model techniques.

It is obvious that nearly almost every industry is forced to look for alternatives for all of its operations if outsourcing is an option. The study's findings have major benefits for all industries with an important role in manufacturing and supply chain operations. These objectives will serve the industries well and they will be able to prioritize their alternative selection criteria based on their operations. The findings of this study can assist any organization in their selection of vendors by providing a more detailed explanation of the impact that various criteria have on the decision-making process.

To the best of authors' knowledge, no previous study has used two approaches (AHP and Delphi study) to propose a model for making manufacturing decisions with domestic, in house and international alternatives in Hi-tech public sector organizations. The model not only benefits the manufacturers for choosing suitable suppliers but also aids suppliers to build their profile in an improved fashion by focusing on the vital attributes. This research benefits managers to improve their ability to make effective purchasing decisions, and also opens new avenues for researchers to further explore such findings in other areas as well.

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Outsourcing or in-house manufacturing in Hi-tech industry: supply chain process with Delphi-AHP approach10.1108/K-08-2022-1172Kybernetes2023-04-18© 2023 Emerald Publishing LimitedSajjad Ali QureshiAfshan NaseemYasir AhmadKybernetesahead-of-printahead-of-print2023-04-1810.1108/K-08-2022-1172https://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1172/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Evolution and simulation of drug safety regulations: construction of a game model for capture eventhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1184/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study focuses on drug safety regulation capture, reveals the inner mechanism and evolutionary characteristics of drug safety regulation capture and provides suggestions for effective regulation by pharmacovigilance. The article introduces prospect theory into the game strategy analysis of drug safety events, constructs a benefit perception matrix based on psychological perception and analyzes the risk selection strategies and constraints on stable outcomes for both drug companies and drug regulatory authorities. Moreover, simulation was used to analyze the choice of results of different parameters on the game strategy. The results found that the system does not have a stable equilibrium strategy under the role of cognitive psychology. The risk transfer coefficient, penalty cost, risk loss, regulatory benefit, regulatory success probability and risk discount coefficient directly acted in the direction of system evolution toward the system stable strategy. There is a critical effect on the behavioral strategies of drug manufacturers and drug supervisors, which exceeds a certain intensity before the behavioral strategies in repeated games tend to stabilize. In this article, the authors constructed the perceived benefit matrix through the prospect value function to analyze the behavioral evolution game strategies of drug companies and FDA in the regulatory process, and to evaluate the evolution law of each factor.Evolution and simulation of drug safety regulations: construction of a game model for capture event
Anxia Wan, Qianqian Huang, Ehsan Elahi, Benhong Peng
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study focuses on drug safety regulation capture, reveals the inner mechanism and evolutionary characteristics of drug safety regulation capture and provides suggestions for effective regulation by pharmacovigilance.

The article introduces prospect theory into the game strategy analysis of drug safety events, constructs a benefit perception matrix based on psychological perception and analyzes the risk selection strategies and constraints on stable outcomes for both drug companies and drug regulatory authorities. Moreover, simulation was used to analyze the choice of results of different parameters on the game strategy.

The results found that the system does not have a stable equilibrium strategy under the role of cognitive psychology. The risk transfer coefficient, penalty cost, risk loss, regulatory benefit, regulatory success probability and risk discount coefficient directly acted in the direction of system evolution toward the system stable strategy. There is a critical effect on the behavioral strategies of drug manufacturers and drug supervisors, which exceeds a certain intensity before the behavioral strategies in repeated games tend to stabilize.

In this article, the authors constructed the perceived benefit matrix through the prospect value function to analyze the behavioral evolution game strategies of drug companies and FDA in the regulatory process, and to evaluate the evolution law of each factor.

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Evolution and simulation of drug safety regulations: construction of a game model for capture event10.1108/K-08-2022-1184Kybernetes2023-03-03© 2023 Emerald Publishing LimitedAnxia WanQianqian HuangEhsan ElahiBenhong PengKybernetesahead-of-printahead-of-print2023-03-0310.1108/K-08-2022-1184https://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1184/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Contract design for a closed-loop supply chain considering information asymmetry of remanufacturing process innovationhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1196/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAsymmetric cost information exists between a supplier and a manufacturer regarding the manufacturer's process innovation for remanufacturing (PIR), which may hurt the supplier's profit. The authors therefore seek to develop a menu of nonlinear pricing contracts for channel information sharing. Based on principal–agent theory, the supplier, acting as a Stackelberg leader, designs a menu of nonlinear pricing contracts to impel the manufacturer to disclose its private cost information on PIR (i.e. PIR efficiency). In addition, the authors compare the equilibrium outcomes under asymmetric and symmetric information to examine the effects of asymmetric PIR information on the production policies and profits of the supplier and the manufacturer. The proposed contract menu encourages th4e manufacturer to spontaneously share PIR efficiency information with the supplier. Asymmetric PIR information may distort the output of new products upward or downward, but the output of remanufactured products may only be distorted downward. In addition, the manufacturer with high PIR efficiency gains information rent, and interestingly, the increase in the probability of low PIR efficiency amplifies its information rent. Finally, an asymmetric information environment may increase the threshold for the manufacturer to enter remanufacturing. The authors probe the issue of the supplier's contract design by jointly considering remanufacturing, process innovation and information asymmetry. The paper expands the influencing mechanism of process innovation information in the remanufacturing field. The authors also observe new results that may offer guidance to decision makers.Contract design for a closed-loop supply chain considering information asymmetry of remanufacturing process innovation
Senlin Zhao, Rongrong Mao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Asymmetric cost information exists between a supplier and a manufacturer regarding the manufacturer's process innovation for remanufacturing (PIR), which may hurt the supplier's profit. The authors therefore seek to develop a menu of nonlinear pricing contracts for channel information sharing.

Based on principal–agent theory, the supplier, acting as a Stackelberg leader, designs a menu of nonlinear pricing contracts to impel the manufacturer to disclose its private cost information on PIR (i.e. PIR efficiency). In addition, the authors compare the equilibrium outcomes under asymmetric and symmetric information to examine the effects of asymmetric PIR information on the production policies and profits of the supplier and the manufacturer.

The proposed contract menu encourages th4e manufacturer to spontaneously share PIR efficiency information with the supplier. Asymmetric PIR information may distort the output of new products upward or downward, but the output of remanufactured products may only be distorted downward. In addition, the manufacturer with high PIR efficiency gains information rent, and interestingly, the increase in the probability of low PIR efficiency amplifies its information rent. Finally, an asymmetric information environment may increase the threshold for the manufacturer to enter remanufacturing.

The authors probe the issue of the supplier's contract design by jointly considering remanufacturing, process innovation and information asymmetry. The paper expands the influencing mechanism of process innovation information in the remanufacturing field. The authors also observe new results that may offer guidance to decision makers.

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Contract design for a closed-loop supply chain considering information asymmetry of remanufacturing process innovation10.1108/K-08-2022-1196Kybernetes2023-05-05© 2023 Emerald Publishing LimitedSenlin ZhaoRongrong MaoKybernetesahead-of-printahead-of-print2023-05-0510.1108/K-08-2022-1196https://www.emerald.com/insight/content/doi/10.1108/K-08-2022-1196/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Cutting the clutter: how minimalism drives customer citizenship behaviour within the sharing economy-based serviceshttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1387/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUsing the stimulus-organism-response (SOR) theory, this study explores the effect of religiosity, resource sharing and environmental attitudes on minimalist behaviour in sharing economy-based services and its subsequent influence on customer citizenship behaviour. This research employed a descriptive, quantitative and cross-sectional design, examining data from 530 Indian tourists who used sharing economy-based services. The proposed conceptual model was evaluated through partial least squares-structural equation modelling (PLS-SEM), and the impact of control variables was examined via PLS-multi-group analysis (PLS-MGA). The study findings validated that religiosity, resource sharing and environmental attitudes significantly foster minimalist behaviour in sharing economy-based services. This minimalist behaviour, in turn, positively impacts customer citizenship behaviour, affecting aspects such as tolerance, feedback, advocacy and assistance to others. The model's outcomes also indicated the substantial moderating roles of age and gender. This study is novel in its exploration of how religiosity, resource sharing and environmental attitudes as stimuli can shape minimalist behaviour within sharing economy-based services and further influence customer citizenship behaviour. By uncovering the significant roles of age and gender in this context, the research offers unique insights into understanding the dynamics of consumer behaviour within the burgeoning sharing economy. The findings provide valuable direction for stakeholders in the sharing economy and policymakers aiming to cultivate positive consumer behaviours and advance the sector's sustainability.Cutting the clutter: how minimalism drives customer citizenship behaviour within the sharing economy-based services
A.K. Fazeen Rasheed, Janarthanan Balakrishnan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Using the stimulus-organism-response (SOR) theory, this study explores the effect of religiosity, resource sharing and environmental attitudes on minimalist behaviour in sharing economy-based services and its subsequent influence on customer citizenship behaviour.

This research employed a descriptive, quantitative and cross-sectional design, examining data from 530 Indian tourists who used sharing economy-based services. The proposed conceptual model was evaluated through partial least squares-structural equation modelling (PLS-SEM), and the impact of control variables was examined via PLS-multi-group analysis (PLS-MGA).

The study findings validated that religiosity, resource sharing and environmental attitudes significantly foster minimalist behaviour in sharing economy-based services. This minimalist behaviour, in turn, positively impacts customer citizenship behaviour, affecting aspects such as tolerance, feedback, advocacy and assistance to others. The model's outcomes also indicated the substantial moderating roles of age and gender.

This study is novel in its exploration of how religiosity, resource sharing and environmental attitudes as stimuli can shape minimalist behaviour within sharing economy-based services and further influence customer citizenship behaviour. By uncovering the significant roles of age and gender in this context, the research offers unique insights into understanding the dynamics of consumer behaviour within the burgeoning sharing economy. The findings provide valuable direction for stakeholders in the sharing economy and policymakers aiming to cultivate positive consumer behaviours and advance the sector's sustainability.

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Cutting the clutter: how minimalism drives customer citizenship behaviour within the sharing economy-based services10.1108/K-08-2023-1387Kybernetes2023-09-18© 2023 Emerald Publishing LimitedA.K. Fazeen RasheedJanarthanan BalakrishnanKybernetesahead-of-printahead-of-print2023-09-1810.1108/K-08-2023-1387https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1387/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How does ESG disclosure promote technological innovation? Moderating effects based on product market competitionhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1398/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe primary objective of this study is to unveil the relationships that interconnect ESG and three pillars disclosures with technological innovation while also investigating the moderating impact of product market competition. The paper seeks to identify the underlying mechanisms that facilitate technological innovation in sustainable management. Using data from 8,738 Chinese firms from 2011 to 2019, this study employs quantitative analysis to examine the relationship between ESG disclosure and technological innovation and the moderating effect. Moreover, this study explores the heterogeneous impacts while considering factors such as property rights and firm size. The findings reveal a positive correlation between ESG disclosure and technological innovation. The study also investigates the moderating role of product market competition and finds that increasing competition mitigates the positive effects of ESG disclosure on technological innovation. Additionally, the conclusions reveal that the relationship between ESG and three pillars disclosures and technological innovation, as well as the moderating role of product market competition, exhibits inconsistency across firms with different property rights and sizes. This study offers a clear understanding of the relationship between ESG disclosures and technological innovation, and how it varies across businesses of different sizes and ownership structures. It also provides fresh perspectives on the influence of product market competition on this relationship, with implications for strategy development in corporations.How does ESG disclosure promote technological innovation? Moderating effects based on product market competition
Xinyuan Wang, Yushi Yin, Dongphil Chun, Peng Li
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The primary objective of this study is to unveil the relationships that interconnect ESG and three pillars disclosures with technological innovation while also investigating the moderating impact of product market competition. The paper seeks to identify the underlying mechanisms that facilitate technological innovation in sustainable management.

Using data from 8,738 Chinese firms from 2011 to 2019, this study employs quantitative analysis to examine the relationship between ESG disclosure and technological innovation and the moderating effect. Moreover, this study explores the heterogeneous impacts while considering factors such as property rights and firm size.

The findings reveal a positive correlation between ESG disclosure and technological innovation. The study also investigates the moderating role of product market competition and finds that increasing competition mitigates the positive effects of ESG disclosure on technological innovation. Additionally, the conclusions reveal that the relationship between ESG and three pillars disclosures and technological innovation, as well as the moderating role of product market competition, exhibits inconsistency across firms with different property rights and sizes.

This study offers a clear understanding of the relationship between ESG disclosures and technological innovation, and how it varies across businesses of different sizes and ownership structures. It also provides fresh perspectives on the influence of product market competition on this relationship, with implications for strategy development in corporations.

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How does ESG disclosure promote technological innovation? Moderating effects based on product market competition10.1108/K-08-2023-1398Kybernetes2024-01-04© 2023 Emerald Publishing LimitedXinyuan WangYushi YinDongphil ChunPeng LiKybernetesahead-of-printahead-of-print2024-01-0410.1108/K-08-2023-1398https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1398/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The impact of fiscal support for agricultural expenditure on rural residents' consumption: from a perspective of level and structurehttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1408/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAs China’s industrial structure continues to upgrade and optimize, the consumption capacity of rural residents gradually improves and the role of consumption in economic growth is increasingly prominent. Against the background of weak external demand, the untapped potential of rural consumption has become a key force in expanding domestic demand. As one of the important means that the government has long relied on, fiscal support for agriculture has played a crucial role in activating the rural consumer market. This manuscript aims to explore the impact of local fiscal support for agricultural expenditure (FSAE) on rural consumption in China, as well as to examine the mediating role of the level of rural financial development. In this manuscript, the authors use the provincial panel data of 31 provinces in China from 2000 to 2020. The data of all variables mainly come from China Statistical Yearbook and China Rural Statistical Yearbook. According to the variable selection above, 651 sample data of 31 provinces and cities across China from 2000 to 2020 are organized. In terms of methodology, multiple fixed-effects panel model is applied to regression. Firstly, FSAE varies significantly, while rural consumption slowly but steadily rises, with a relatively stable consumption structure. Secondly, FSAE has a significant positive effect on rural consumption. Thirdly, mediation testing indicates that mechanisms such as income, uncertainty and financial development have significant positive mediating effects on rural consumption. Thirdly, there is evident regional heterogeneity in FSAE’s impact on rural consumption. The Western regions, under government fiscal support, show a more significant effect on the elevation of rural consumption levels, while the role of FSAE in optimizing the consumption structure of rural residents in eastern and central regions is more pronounced. Firstly, a systematic examination of local FSAE and rural consumption has been conducted, enriching relevant theories. Secondly, utilizing econometric empirical methods to research the relationship between local FSAE and rural consumption provides an exploratory extension to empirical studies on rural consumption in China. This offers empirical evidence for local fiscal support in agricultural development and the promotion of rural consumption.The impact of fiscal support for agricultural expenditure on rural residents' consumption: from a perspective of level and structure
Yuanhong Hu, Feifei Huang, Pengling Liu, Shuyu Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

As China’s industrial structure continues to upgrade and optimize, the consumption capacity of rural residents gradually improves and the role of consumption in economic growth is increasingly prominent. Against the background of weak external demand, the untapped potential of rural consumption has become a key force in expanding domestic demand. As one of the important means that the government has long relied on, fiscal support for agriculture has played a crucial role in activating the rural consumer market. This manuscript aims to explore the impact of local fiscal support for agricultural expenditure (FSAE) on rural consumption in China, as well as to examine the mediating role of the level of rural financial development.

In this manuscript, the authors use the provincial panel data of 31 provinces in China from 2000 to 2020. The data of all variables mainly come from China Statistical Yearbook and China Rural Statistical Yearbook. According to the variable selection above, 651 sample data of 31 provinces and cities across China from 2000 to 2020 are organized. In terms of methodology, multiple fixed-effects panel model is applied to regression.

Firstly, FSAE varies significantly, while rural consumption slowly but steadily rises, with a relatively stable consumption structure. Secondly, FSAE has a significant positive effect on rural consumption. Thirdly, mediation testing indicates that mechanisms such as income, uncertainty and financial development have significant positive mediating effects on rural consumption. Thirdly, there is evident regional heterogeneity in FSAE’s impact on rural consumption. The Western regions, under government fiscal support, show a more significant effect on the elevation of rural consumption levels, while the role of FSAE in optimizing the consumption structure of rural residents in eastern and central regions is more pronounced.

Firstly, a systematic examination of local FSAE and rural consumption has been conducted, enriching relevant theories. Secondly, utilizing econometric empirical methods to research the relationship between local FSAE and rural consumption provides an exploratory extension to empirical studies on rural consumption in China. This offers empirical evidence for local fiscal support in agricultural development and the promotion of rural consumption.

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The impact of fiscal support for agricultural expenditure on rural residents' consumption: from a perspective of level and structure10.1108/K-08-2023-1408Kybernetes2024-01-02© 2023 Emerald Publishing LimitedYuanhong HuFeifei HuangPengling LiuShuyu ZhangKybernetesahead-of-printahead-of-print2024-01-0210.1108/K-08-2023-1408https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1408/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Collaborative government-public efforts in driving green technology innovation for environmental governance in PPP projects: a study based on prospect theoryhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1415/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe paper aims to elucidate effective strategies for promoting the adoption of green technology innovation within the private sector, thereby enhancing the value of public–private partnership (PPP) projects during the operational phase. Utilizing prospect theory, the paper considers the government and the public as external driving forces. It establishes a tripartite evolutionary game model composed of government regulators, the private sector and the public. The paper uses numerical simulations to explore the evolutionary stable equilibrium strategies and the determinants influencing each stakeholder. The paper demonstrates that government intervention and public participation substantially promote green technology innovation within the private sector. Major influencing factors encompass the intensity of pollution taxation, governmental information disclosure and public attention. However, an optimal threshold exists for environmental publicity and innovation subsidies, as excessive levels might inhibit technological innovation. Furthermore, within government intervention strategies, compensating the public for their participation costs is essential to circumvent the public's “free-rider” tendencies and encourage active public collaboration in PPP project innovation. By constructing a tripartite evolutionary game model, the paper comprehensively examines the roles of government intervention and public participation in promoting green technology innovation within the private sector, offering fresh perspectives and strategies for the operational phase of PPP projects.Collaborative government-public efforts in driving green technology innovation for environmental governance in PPP projects: a study based on prospect theory
Zehui Bu, Jicai Liu, Xiaoxue Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The paper aims to elucidate effective strategies for promoting the adoption of green technology innovation within the private sector, thereby enhancing the value of public–private partnership (PPP) projects during the operational phase.

Utilizing prospect theory, the paper considers the government and the public as external driving forces. It establishes a tripartite evolutionary game model composed of government regulators, the private sector and the public. The paper uses numerical simulations to explore the evolutionary stable equilibrium strategies and the determinants influencing each stakeholder.

The paper demonstrates that government intervention and public participation substantially promote green technology innovation within the private sector. Major influencing factors encompass the intensity of pollution taxation, governmental information disclosure and public attention. However, an optimal threshold exists for environmental publicity and innovation subsidies, as excessive levels might inhibit technological innovation. Furthermore, within government intervention strategies, compensating the public for their participation costs is essential to circumvent the public's “free-rider” tendencies and encourage active public collaboration in PPP project innovation.

By constructing a tripartite evolutionary game model, the paper comprehensively examines the roles of government intervention and public participation in promoting green technology innovation within the private sector, offering fresh perspectives and strategies for the operational phase of PPP projects.

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Collaborative government-public efforts in driving green technology innovation for environmental governance in PPP projects: a study based on prospect theory10.1108/K-08-2023-1415Kybernetes2023-12-11© 2023 Emerald Publishing LimitedZehui BuJicai LiuXiaoxue ZhangKybernetesahead-of-printahead-of-print2023-12-1110.1108/K-08-2023-1415https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1415/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
35 years of grey system theory in economics and educationhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1416/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe Grey System Theory (GST) is an emerging area of research within artificial intelligence. Since its founding in 1982, it has seen a lot of multidisciplinary applications. In just a short period, it has garnered some considerable strengths. Based on the 1987–2021 data collected from the Web of Science (WoS), the current study reports the advancement of the GST. Research papers utilizing the GST in the fields of economics and education were retrieved from the Web of Science (WoS) platform using a set of predetermined keywords. In the final stage of the process, the papers that underwent analysis were manually chosen, with selection criteria based on the information presented in the titles and abstracts. The study identifies prominent authors, institutions, publications and journals closely associated with the subject. In terms of authors, two major clusters are identified around Liu SF and Wang ZX, while the institution with the highest number of publications is Nanjing University of Aeronautics and Astronautics. Moreover, significant keywords, trends and research directions have been extracted and analyzed. Additionally, the study highlights the regions where the theory holds substantial influence. The study is subject to certain limitations stemming from factors such as the language employed in the chosen literature, the papers included within the Web of Science (WoS) database, the designation of works categorized as “articles” in the database, the specific selection of keywords and keyword combinations, and the meticulous manual process employed for paper selection. While the manual selection process itself is not inherently limiting, it demands a greater investment of time and meticulous attention, contributing to the overall limitations of the study. The significance of the study extends not only to scholars and practitioners but also to readers who observe the development of emerging scientific disciplines. The analysis of trends revealed a growing emphasis on the application of GST in diverse domains, including supply chain management, manufacturing and economic development. Notably, the emergence of COVID-19 as a new research focal point among GST scholars is evident. The heightened interest in COVID-19 can be attributed to its global impact across various academic disciplines. However, it is improbable that this interest will persist in the long term, as the pandemic is gradually brought under control.35 years of grey system theory in economics and education
Camelia Delcea, Saad Ahmed Javed, Margareta-Stela Florescu, Corina Ioanas, Liviu-Adrian Cotfas
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The Grey System Theory (GST) is an emerging area of research within artificial intelligence. Since its founding in 1982, it has seen a lot of multidisciplinary applications. In just a short period, it has garnered some considerable strengths. Based on the 1987–2021 data collected from the Web of Science (WoS), the current study reports the advancement of the GST.

Research papers utilizing the GST in the fields of economics and education were retrieved from the Web of Science (WoS) platform using a set of predetermined keywords. In the final stage of the process, the papers that underwent analysis were manually chosen, with selection criteria based on the information presented in the titles and abstracts.

The study identifies prominent authors, institutions, publications and journals closely associated with the subject. In terms of authors, two major clusters are identified around Liu SF and Wang ZX, while the institution with the highest number of publications is Nanjing University of Aeronautics and Astronautics. Moreover, significant keywords, trends and research directions have been extracted and analyzed. Additionally, the study highlights the regions where the theory holds substantial influence.

The study is subject to certain limitations stemming from factors such as the language employed in the chosen literature, the papers included within the Web of Science (WoS) database, the designation of works categorized as “articles” in the database, the specific selection of keywords and keyword combinations, and the meticulous manual process employed for paper selection. While the manual selection process itself is not inherently limiting, it demands a greater investment of time and meticulous attention, contributing to the overall limitations of the study.

The significance of the study extends not only to scholars and practitioners but also to readers who observe the development of emerging scientific disciplines.

The analysis of trends revealed a growing emphasis on the application of GST in diverse domains, including supply chain management, manufacturing and economic development. Notably, the emergence of COVID-19 as a new research focal point among GST scholars is evident. The heightened interest in COVID-19 can be attributed to its global impact across various academic disciplines. However, it is improbable that this interest will persist in the long term, as the pandemic is gradually brought under control.

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35 years of grey system theory in economics and education10.1108/K-08-2023-1416Kybernetes2023-10-23© 2023 Emerald Publishing LimitedCamelia DelceaSaad Ahmed JavedMargareta-Stela FlorescuCorina IoanasLiviu-Adrian CotfasKybernetesahead-of-printahead-of-print2023-10-2310.1108/K-08-2023-1416https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1416/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Research on the evolution and determinants of knowledge transfer network in patent-intensive industrieshttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1419/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate the structural characteristics, spatial evolution paths and internal driving mechanisms of the knowledge transfer (KT) network in China’s patent-intensive industries (PIIs). The authors' goal is to provide valuable insights to inform policy-making that fosters the development of relevant industries. The authors also aim to offer a fresh perspective for future spatiotemporal studies on industrial KT and innovation networks. In this study, the authors analyze the patent transfer (PT) data of listed companies in China’s information and communication technology (ICT) industry, spanning from 2010 to 2021. The authors use social network analysis and the quadratic assignment procedure (QAP) method to explore the problem of China’s PIIs KT from the perspectives of technical characteristics evolution, network and spatial evolution and internal driving mechanisms. The results indicate that the knowledge fields involved in the PT of China’s ICT industry primarily focus on digital information transmission technology. From 2010 to 2021, the scale of the ICT industry’s KT network expanded rapidly. However, the polarization of industrial knowledge distribution is becoming more serious. QAP regression analysis shows that economic proximity and geographical proximity do not affect KT activities. The similarity of knowledge application capacity, innovation capacity and technology demand categories in various regions has a certain degree of impact on KT in the ICT industry. The current research on PIIs mainly focuses on measuring economic contributions and innovation efficiency, but less on KT in PIIs. This study explores KT in PIIs from the perspectives of technological characteristics, network and spatial evolution. The authors propose a theoretical framework to understand the internal driving mechanisms of industrial KT networks.Research on the evolution and determinants of knowledge transfer network in patent-intensive industries
Jianguo Li, Yuwen Gong, Hong Li
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to investigate the structural characteristics, spatial evolution paths and internal driving mechanisms of the knowledge transfer (KT) network in China’s patent-intensive industries (PIIs). The authors' goal is to provide valuable insights to inform policy-making that fosters the development of relevant industries. The authors also aim to offer a fresh perspective for future spatiotemporal studies on industrial KT and innovation networks.

In this study, the authors analyze the patent transfer (PT) data of listed companies in China’s information and communication technology (ICT) industry, spanning from 2010 to 2021. The authors use social network analysis and the quadratic assignment procedure (QAP) method to explore the problem of China’s PIIs KT from the perspectives of technical characteristics evolution, network and spatial evolution and internal driving mechanisms.

The results indicate that the knowledge fields involved in the PT of China’s ICT industry primarily focus on digital information transmission technology. From 2010 to 2021, the scale of the ICT industry’s KT network expanded rapidly. However, the polarization of industrial knowledge distribution is becoming more serious. QAP regression analysis shows that economic proximity and geographical proximity do not affect KT activities. The similarity of knowledge application capacity, innovation capacity and technology demand categories in various regions has a certain degree of impact on KT in the ICT industry.

The current research on PIIs mainly focuses on measuring economic contributions and innovation efficiency, but less on KT in PIIs. This study explores KT in PIIs from the perspectives of technological characteristics, network and spatial evolution. The authors propose a theoretical framework to understand the internal driving mechanisms of industrial KT networks.

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Research on the evolution and determinants of knowledge transfer network in patent-intensive industries10.1108/K-08-2023-1419Kybernetes2024-01-16© 2024 Emerald Publishing LimitedJianguo LiYuwen GongHong LiKybernetesahead-of-printahead-of-print2024-01-1610.1108/K-08-2023-1419https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1419/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Financial distress prediction based on ensemble feature selection and improved stacking algorithmhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1428/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWhile the Chinese securities market is booming, the phenomenon of listed companies falling into financial distress is also emerging, which affects the operation and development of enterprises and also jeopardizes the interests of investors. Therefore, it is important to understand how to accurately and reasonably predict the financial distress of enterprises. In the present study, ensemble feature selection (EFS) and improved stacking were used for financial distress prediction (FDP). Mutual information, analysis of variance (ANOVA), random forest (RF), genetic algorithms, and recursive feature elimination (RFE) were chosen for EFS to select features. Since there may be missing information when feeding the results of the base learner directly into the meta-learner, the features with high importance were fed into the meta-learner together. A screening layer was added to select the meta-learner with better performance. Finally, Optima hyperparameters were used for parameter tuning by the learners. An empirical study was conducted with a sample of A-share listed companies in China. The F1-score of the model constructed using the features screened by EFS reached 84.55%, representing an improvement of 4.37% compared to the original features. To verify the effectiveness of improved stacking, benchmark model comparison experiments were conducted. Compared to the original stacking model, the accuracy of the improved stacking model was improved by 0.44%, and the F1-score was improved by 0.51%. In addition, the improved stacking model had the highest area under the curve (AUC) value (0.905) among all the compared models. Compared to previous models, the proposed FDP model has better performance, thus bridging the research gap of feature selection. The present study provides new ideas for stacking improvement research and a reference for subsequent research in this field.Financial distress prediction based on ensemble feature selection and improved stacking algorithm
Chong Wu, Xiaofang Chen, Yongjie Jiang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

While the Chinese securities market is booming, the phenomenon of listed companies falling into financial distress is also emerging, which affects the operation and development of enterprises and also jeopardizes the interests of investors. Therefore, it is important to understand how to accurately and reasonably predict the financial distress of enterprises.

In the present study, ensemble feature selection (EFS) and improved stacking were used for financial distress prediction (FDP). Mutual information, analysis of variance (ANOVA), random forest (RF), genetic algorithms, and recursive feature elimination (RFE) were chosen for EFS to select features. Since there may be missing information when feeding the results of the base learner directly into the meta-learner, the features with high importance were fed into the meta-learner together. A screening layer was added to select the meta-learner with better performance. Finally, Optima hyperparameters were used for parameter tuning by the learners.

An empirical study was conducted with a sample of A-share listed companies in China. The F1-score of the model constructed using the features screened by EFS reached 84.55%, representing an improvement of 4.37% compared to the original features. To verify the effectiveness of improved stacking, benchmark model comparison experiments were conducted. Compared to the original stacking model, the accuracy of the improved stacking model was improved by 0.44%, and the F1-score was improved by 0.51%. In addition, the improved stacking model had the highest area under the curve (AUC) value (0.905) among all the compared models.

Compared to previous models, the proposed FDP model has better performance, thus bridging the research gap of feature selection. The present study provides new ideas for stacking improvement research and a reference for subsequent research in this field.

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Financial distress prediction based on ensemble feature selection and improved stacking algorithm10.1108/K-08-2023-1428Kybernetes2024-02-26© 2024 Emerald Publishing LimitedChong WuXiaofang ChenYongjie JiangKybernetesahead-of-printahead-of-print2024-02-2610.1108/K-08-2023-1428https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1428/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Unraveling the effects of COVID-19 on the textile industry in South Asia region: a comparative study of major playershttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1449/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe COVID-19 pandemic has caused widespread disruptions to global industries, with the textile sector in South Asia being particularly hard hit. While previous studies have focused on the performance of textile sectors in individual countries, there is a gap in the literature on the comparative impact of the pandemic on the textile industry in South Asian nations. This study aims to fill this gap by investigating the performance of the textile sector in South Asian countries and identifying best practices for overcoming the pandemic’s adverse effects. Using a comparative approach, this study analyzes the impact of COVID-19 on the performance of the textile sector in Pakistan, India and Bangladesh. Our findings reveal that COVID-19 significantly negatively impacts the textile industry in Pakistan and India. However, Bangladesh has shown effective practices to support the textile industry and mitigate the pandemic’s adverse effects. The findings of this study hold considerable implications for legislators, leaders, investors and supply chain management professionals operating within the South Asian textile sector. This research has the potential to inform policymakers in formulating strategies to facilitate the textile sector’s resilience during emergencies like the COVID-19 pandemic. This paper provides significant theoretical additions to the current body of literature regarding the impact of COVID-19 on the textile sector in South Asia. The research uses the global value chain (GVC) theory as a theoretical framework to enhance understanding of the impact of global supply chains and interdependencies on the textile sector in the region.Unraveling the effects of COVID-19 on the textile industry in South Asia region: a comparative study of major players
Zainab Zahra, Ali Raza Elahi, Waqas Khan, Bilal Mehmood, Muhammad Sohail
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The COVID-19 pandemic has caused widespread disruptions to global industries, with the textile sector in South Asia being particularly hard hit. While previous studies have focused on the performance of textile sectors in individual countries, there is a gap in the literature on the comparative impact of the pandemic on the textile industry in South Asian nations. This study aims to fill this gap by investigating the performance of the textile sector in South Asian countries and identifying best practices for overcoming the pandemic’s adverse effects.

Using a comparative approach, this study analyzes the impact of COVID-19 on the performance of the textile sector in Pakistan, India and Bangladesh.

Our findings reveal that COVID-19 significantly negatively impacts the textile industry in Pakistan and India. However, Bangladesh has shown effective practices to support the textile industry and mitigate the pandemic’s adverse effects.

The findings of this study hold considerable implications for legislators, leaders, investors and supply chain management professionals operating within the South Asian textile sector. This research has the potential to inform policymakers in formulating strategies to facilitate the textile sector’s resilience during emergencies like the COVID-19 pandemic.

This paper provides significant theoretical additions to the current body of literature regarding the impact of COVID-19 on the textile sector in South Asia. The research uses the global value chain (GVC) theory as a theoretical framework to enhance understanding of the impact of global supply chains and interdependencies on the textile sector in the region.

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Unraveling the effects of COVID-19 on the textile industry in South Asia region: a comparative study of major players10.1108/K-08-2023-1449Kybernetes2024-03-26© 2024 Emerald Publishing LimitedZainab ZahraAli Raza ElahiWaqas KhanBilal MehmoodMuhammad SohailKybernetesahead-of-printahead-of-print2024-03-2610.1108/K-08-2023-1449https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1449/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
“I deserve better grades.” Compliance-gaining perspective of dark triad traits, power distance and academic entitlement in Chinese higher educationhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1454/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDark triad (DT) personality traits, that is, Machiavellianism, narcissism and psychopathy, are socially unenthusiastic and predict a range of antisocial behaviors. Academic entitlement, similarly, demonstrates the students’ rising temptation of higher grades without putting corresponding efforts. Based on coercion theory, this research investigated power distance as mediator between DT and academic entitlement (externalized responsibility and entitled expectations). Further, this study examined DT model of personality as a predictor of academic entitlement in Chinese higher education institutions (HEIs). Chinese HEIs were ascertained for data collection. Students (with bachelor’s, master’s and Ph.D. degrees) responded to 719 questionnaires for data analysis. Hypothesized relationships were examined through partial least squares structural equation model (PLS-SEM). This study established positive and significant direct link between DT and academic entitlement. The indirect effect through power distance was found insignificant between the relationship of DT and academic entitlement. Based on coercion theory, this study extends the prevailing literature through unexplored effects of DT on academic entitlement and role of power distance in Chinese HEIs. This study validated the effect of DT on academic entitlement; however, direct-only no-mediation of power distance between the relationships is novel in Chinese HEIs. Moreover, power distance as mediator is novel between the relationships. Hence, this study provides an understanding of mentioned associations and contributes to the literature.“I deserve better grades.” Compliance-gaining perspective of dark triad traits, power distance and academic entitlement in Chinese higher education
Zahid Shafait, Umar Farooq Sahibzada
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Dark triad (DT) personality traits, that is, Machiavellianism, narcissism and psychopathy, are socially unenthusiastic and predict a range of antisocial behaviors. Academic entitlement, similarly, demonstrates the students’ rising temptation of higher grades without putting corresponding efforts. Based on coercion theory, this research investigated power distance as mediator between DT and academic entitlement (externalized responsibility and entitled expectations). Further, this study examined DT model of personality as a predictor of academic entitlement in Chinese higher education institutions (HEIs).

Chinese HEIs were ascertained for data collection. Students (with bachelor’s, master’s and Ph.D. degrees) responded to 719 questionnaires for data analysis. Hypothesized relationships were examined through partial least squares structural equation model (PLS-SEM).

This study established positive and significant direct link between DT and academic entitlement. The indirect effect through power distance was found insignificant between the relationship of DT and academic entitlement.

Based on coercion theory, this study extends the prevailing literature through unexplored effects of DT on academic entitlement and role of power distance in Chinese HEIs. This study validated the effect of DT on academic entitlement; however, direct-only no-mediation of power distance between the relationships is novel in Chinese HEIs. Moreover, power distance as mediator is novel between the relationships. Hence, this study provides an understanding of mentioned associations and contributes to the literature.

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“I deserve better grades.” Compliance-gaining perspective of dark triad traits, power distance and academic entitlement in Chinese higher education10.1108/K-08-2023-1454Kybernetes2024-01-03© 2023 Emerald Publishing LimitedZahid ShafaitUmar Farooq SahibzadaKybernetesahead-of-printahead-of-print2024-01-0310.1108/K-08-2023-1454https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1454/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Optimizing chronic healthcare payment scheme: integrating patient effort in service pricing for enhanced self-management performancehttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1476/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study aims to address a critical gap in existing healthcare payment schemes and care service pricing by recognizing the influential role of patients' decisions on self-management efforts. These decisions not only impact health outcomes but also shape the demand for care, subsequently influencing care costs. Despite the significance of this interplay, current payment schemes often overlook these dynamics. The research focuses on investigating the implications of a novel behavior-based payment scheme, designed to align incentives and establish a direct connection between patients' decisions and care costs. The primary objective is to comprehensively understand whether and how this innovative payment scheme structure influences key stakeholders, including patients, care providers, insurers and overall social welfare. In this paper, we propose a game-theoretical model to incorporate the performance of self-management with the demand for healthcare service, compare the patient's effort decision for self-management and provider's price decision for healthcare service under a behavior-based scheme with that under two implemented widely payment schemes, that is, co-payment scheme and co-insurance scheme. Our findings confirm that the behavior-based scheme incentives patient self-management more than current schemes while reducing their possibility of seeking healthcare service, which indirectly induces the provider to lower the price of the service. The stakeholders' utility under various payment schemes is sensitive to the cost of treatment and the perceived health utility of patients. Especially, patient health awareness is not always benefited provider profit, as it motivates patient self-management while diminishing the demand for care. We provide a novel framework for characterizing behavior-based payment schemes. Our results confirm the need for modification of the current payment scheme to incentivize patient self-management.Optimizing chronic healthcare payment scheme: integrating patient effort in service pricing for enhanced self-management performance
Yixin Liang, Xuejie Ren, Lindu Zhao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study aims to address a critical gap in existing healthcare payment schemes and care service pricing by recognizing the influential role of patients' decisions on self-management efforts. These decisions not only impact health outcomes but also shape the demand for care, subsequently influencing care costs. Despite the significance of this interplay, current payment schemes often overlook these dynamics. The research focuses on investigating the implications of a novel behavior-based payment scheme, designed to align incentives and establish a direct connection between patients' decisions and care costs. The primary objective is to comprehensively understand whether and how this innovative payment scheme structure influences key stakeholders, including patients, care providers, insurers and overall social welfare.

In this paper, we propose a game-theoretical model to incorporate the performance of self-management with the demand for healthcare service, compare the patient's effort decision for self-management and provider's price decision for healthcare service under a behavior-based scheme with that under two implemented widely payment schemes, that is, co-payment scheme and co-insurance scheme.

Our findings confirm that the behavior-based scheme incentives patient self-management more than current schemes while reducing their possibility of seeking healthcare service, which indirectly induces the provider to lower the price of the service. The stakeholders' utility under various payment schemes is sensitive to the cost of treatment and the perceived health utility of patients. Especially, patient health awareness is not always benefited provider profit, as it motivates patient self-management while diminishing the demand for care.

We provide a novel framework for characterizing behavior-based payment schemes. Our results confirm the need for modification of the current payment scheme to incentivize patient self-management.

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Optimizing chronic healthcare payment scheme: integrating patient effort in service pricing for enhanced self-management performance10.1108/K-08-2023-1476Kybernetes2024-02-19© 2024 Emerald Publishing LimitedYixin LiangXuejie RenLindu ZhaoKybernetesahead-of-printahead-of-print2024-02-1910.1108/K-08-2023-1476https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1476/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Artificial intelligence-driven bioenergy system: digital green innovation partner selection of bioenergy enterprises based on interval fuzzy field modelhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1495/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model. Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises. Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree. This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.Artificial intelligence-driven bioenergy system: digital green innovation partner selection of bioenergy enterprises based on interval fuzzy field model
Shi Yin, Zengying Gao, Tahir Mahmood
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.

Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.

Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.

This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.

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Artificial intelligence-driven bioenergy system: digital green innovation partner selection of bioenergy enterprises based on interval fuzzy field model10.1108/K-08-2023-1495Kybernetes2023-11-30© 2023 Emerald Publishing LimitedShi YinZengying GaoTahir MahmoodKybernetesahead-of-printahead-of-print2023-11-3010.1108/K-08-2023-1495https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1495/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Evolutionary game analysis of cooperation strategies for core enterprises of film copyright import and export under China’s supporting policieshttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1498/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper constructs a tripartite evolutionary game model between the government, the core enterprises of film copyright export and imports and uses the system dynamics model to simulate and find the optimal selection results of single and mixed government incentives under dynamic changes, aiming to promote the development of foreign trade of film copyright and innovation and development of the film industry so as to improve the overall social benefits of the film industry and provide policy enlightenment for enhancing the import power of foreign core enterprises to introduce domestic film copyrights. In this paper, a tripartite evolutionary game model of the government, the core enterprises of film copyright export and imports is constructed, the evolution process of cooperation strategy is derived, the impact of innovation income coefficient, mixed incentive policy and single incentive policy on the evolution results is analyzed, and the system dynamic model is used to simulate to find the optimal selection results of single and mixed government incentives under dynamic changes, so as to provide reference for the government’s dynamic incentive decision-making. The results show that export-oriented core firms are more sensitive to mixed incentives, while import-oriented core firms respond more quickly to single incentives. The large innovation income coefficient has a negative impact on the willingness of import-oriented core enterprises to cooperate. The study proposes measures to increase the willingness of core companies to participate. Due to the fact that numerical simulation is based on simulation, there may be a certain gap between it and the actual situation. Therefore, it is necessary to further use actual data to conduct empirical analysis on the theoretical model. This article mainly focuses on analyzing the impact of strategy choices and related parameters of various entities on the incentive mechanism and studying the foreign trade cooperation strategies of film copyright export enterprises under policy support from a theoretical model perspective. Furthermore, research has proven that in order to effectively enhance the willingness of foreign import core enterprises to participate in the foreign trade of domestic film copyrights, the government needs to coordinate the use of single incentive policies and mixed incentive policies. This study provides a major contribution for policymaker to develop film copyright import and export trade. Based on the research conclusions, this paper puts forward management countermeasures to further improve the development of the film copyright import and export trade. The first is to enrich government incentive methods and stimulate the vitality of film copyright and foreign trade market entities. The second is to guide the core enterprises of film copyright export to increase investment in innovation and stimulate the endogenous driving force of industrial development. Finally, lengthen the foreign trade industry chain of film copyright and increase the income of film derivatives. Firstly, this paper applies the research methods of evolutionary game and system dynamics simulation to the field of foreign trade research on film copyright and expands the research perspectives and methods of the film industry. Secondly, by analyzing the “cost-benefit incentive” relationship of the evolutionary game of government export-oriented core enterprises and importing core enterprises, an evolutionary game model is constructed, the quantitative point of tripartite interest decision-making is solved and the research object of the evolutionary game method is expanded. Finally, the system dynamics model is used to simulate and find the optimal selection results of single and mixed government incentives under dynamic changes, so as to provide reference for the government’s dynamic incentive decision-making.Evolutionary game analysis of cooperation strategies for core enterprises of film copyright import and export under China’s supporting policies
Bingchao Ren, Shuwen Mei
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper constructs a tripartite evolutionary game model between the government, the core enterprises of film copyright export and imports and uses the system dynamics model to simulate and find the optimal selection results of single and mixed government incentives under dynamic changes, aiming to promote the development of foreign trade of film copyright and innovation and development of the film industry so as to improve the overall social benefits of the film industry and provide policy enlightenment for enhancing the import power of foreign core enterprises to introduce domestic film copyrights.

In this paper, a tripartite evolutionary game model of the government, the core enterprises of film copyright export and imports is constructed, the evolution process of cooperation strategy is derived, the impact of innovation income coefficient, mixed incentive policy and single incentive policy on the evolution results is analyzed, and the system dynamic model is used to simulate to find the optimal selection results of single and mixed government incentives under dynamic changes, so as to provide reference for the government’s dynamic incentive decision-making.

The results show that export-oriented core firms are more sensitive to mixed incentives, while import-oriented core firms respond more quickly to single incentives. The large innovation income coefficient has a negative impact on the willingness of import-oriented core enterprises to cooperate. The study proposes measures to increase the willingness of core companies to participate.

Due to the fact that numerical simulation is based on simulation, there may be a certain gap between it and the actual situation. Therefore, it is necessary to further use actual data to conduct empirical analysis on the theoretical model.

This article mainly focuses on analyzing the impact of strategy choices and related parameters of various entities on the incentive mechanism and studying the foreign trade cooperation strategies of film copyright export enterprises under policy support from a theoretical model perspective. Furthermore, research has proven that in order to effectively enhance the willingness of foreign import core enterprises to participate in the foreign trade of domestic film copyrights, the government needs to coordinate the use of single incentive policies and mixed incentive policies. This study provides a major contribution for policymaker to develop film copyright import and export trade.

Based on the research conclusions, this paper puts forward management countermeasures to further improve the development of the film copyright import and export trade. The first is to enrich government incentive methods and stimulate the vitality of film copyright and foreign trade market entities. The second is to guide the core enterprises of film copyright export to increase investment in innovation and stimulate the endogenous driving force of industrial development. Finally, lengthen the foreign trade industry chain of film copyright and increase the income of film derivatives.

Firstly, this paper applies the research methods of evolutionary game and system dynamics simulation to the field of foreign trade research on film copyright and expands the research perspectives and methods of the film industry. Secondly, by analyzing the “cost-benefit incentive” relationship of the evolutionary game of government export-oriented core enterprises and importing core enterprises, an evolutionary game model is constructed, the quantitative point of tripartite interest decision-making is solved and the research object of the evolutionary game method is expanded. Finally, the system dynamics model is used to simulate and find the optimal selection results of single and mixed government incentives under dynamic changes, so as to provide reference for the government’s dynamic incentive decision-making.

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Evolutionary game analysis of cooperation strategies for core enterprises of film copyright import and export under China’s supporting policies10.1108/K-08-2023-1498Kybernetes2024-03-05© 2024 Emerald Publishing LimitedBingchao RenShuwen MeiKybernetesahead-of-printahead-of-print2024-03-0510.1108/K-08-2023-1498https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1498/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Analysis of the spatial urbanization effect of digital finance in Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1512/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to empirically examine the impact of digital finance on spatial urbanization and elucidate its underlying mechanisms. Using panel data of Chinese prefecture-level cities from 2011 to 2021, and using a spatial dynamic panel model, the authors analyzed the effects of digital finance on spatial urbanization and the mechanism of its action. The findings of the study reveal that digital finance, along with its sub-dimensions, namely coverage breadth, usage depth and digitization degree, all contribute to the enhancement of spatial urbanization. The information channel effect generated by the development of postal and telecommunication businesses, the goods delivery effect generated by the development of retail businesses and the wealth accumulation effect generated by the accumulation of household wealth are all important channels through which digital finance promotes spatial urbanization. Digital finance exerts a significant promotional effect on spatial urbanization in second-tier cities, third-tier cities and their subsequent tiers. This observation alludes to the regionally inclusive nature of spatial urbanization promotion facilitated by digital finance. The present study endeavors to fill this void by employing empirical analysis to investigate the ramifications of digital finance on spatial urbanization, thereby shedding light on the pivotal role played by digital finance in expediting the progression of spatial urbanization. This study undertakes an examination of the spatial spillover effects, thus providing a comprehensive exposition of the influence of digital finance on spatial urbanization. This study introduces this crucial dimension, and the empirical findings elucidate that digital finance fosters the evolution of spatial urbanization by broadening the coverage of information channels, augmenting the efficiency of goods distribution and enhancing wealth accumulation efficacy.Analysis of the spatial urbanization effect of digital finance in China
Yunping Hao, Wei Zhao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to empirically examine the impact of digital finance on spatial urbanization and elucidate its underlying mechanisms.

Using panel data of Chinese prefecture-level cities from 2011 to 2021, and using a spatial dynamic panel model, the authors analyzed the effects of digital finance on spatial urbanization and the mechanism of its action.

The findings of the study reveal that digital finance, along with its sub-dimensions, namely coverage breadth, usage depth and digitization degree, all contribute to the enhancement of spatial urbanization. The information channel effect generated by the development of postal and telecommunication businesses, the goods delivery effect generated by the development of retail businesses and the wealth accumulation effect generated by the accumulation of household wealth are all important channels through which digital finance promotes spatial urbanization. Digital finance exerts a significant promotional effect on spatial urbanization in second-tier cities, third-tier cities and their subsequent tiers. This observation alludes to the regionally inclusive nature of spatial urbanization promotion facilitated by digital finance.

The present study endeavors to fill this void by employing empirical analysis to investigate the ramifications of digital finance on spatial urbanization, thereby shedding light on the pivotal role played by digital finance in expediting the progression of spatial urbanization. This study undertakes an examination of the spatial spillover effects, thus providing a comprehensive exposition of the influence of digital finance on spatial urbanization. This study introduces this crucial dimension, and the empirical findings elucidate that digital finance fosters the evolution of spatial urbanization by broadening the coverage of information channels, augmenting the efficiency of goods distribution and enhancing wealth accumulation efficacy.

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Analysis of the spatial urbanization effect of digital finance in China10.1108/K-08-2023-1512Kybernetes2023-11-17© 2023 Emerald Publishing LimitedYunping HaoWei ZhaoKybernetesahead-of-printahead-of-print2023-11-1710.1108/K-08-2023-1512https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1512/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Understanding user perceptions toward marketing in the metaversehttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1524/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study develops a comprehensive research model and investigates the significant factors affecting positive marketing outcomes in the Metaverse through perceived social benefits and trust. The authors propose a new research model based on social exchange theory (SET) and examine the impact of cost and reward factors. Using 327 survey samples collected from current Metaverse users in South Korea, dual-stage analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) and an artificial neural network (ANN) were employed to test the study’s hypotheses. The results showed that perceived social benefit and trust had significant mediating effects on marketing outcomes, such as loyalty to the seller, product/service attitude, and purchase intention. All antecedents, except perceived performance risk, had a crucial impact on the two mediators. The most interesting finding of this study is the positive influence of knowledge-seeking efforts on perceived social benefits. This study is the first empirical research to examine the effectiveness of marketing in the Metaverse. It also proposes a new theoretical model based on SET to investigate users’ behavioral intentions regarding marketing in the Metaverse, and confirms its explanatory power. Moreover, the results of this study also offer suggestions to brands on how to market to consumers in the Metaverse.Understanding user perceptions toward marketing in the metaverse
Heetae Yang, Yeram Cho, Sang-Yeal Han
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study develops a comprehensive research model and investigates the significant factors affecting positive marketing outcomes in the Metaverse through perceived social benefits and trust.

The authors propose a new research model based on social exchange theory (SET) and examine the impact of cost and reward factors. Using 327 survey samples collected from current Metaverse users in South Korea, dual-stage analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) and an artificial neural network (ANN) were employed to test the study’s hypotheses.

The results showed that perceived social benefit and trust had significant mediating effects on marketing outcomes, such as loyalty to the seller, product/service attitude, and purchase intention. All antecedents, except perceived performance risk, had a crucial impact on the two mediators. The most interesting finding of this study is the positive influence of knowledge-seeking efforts on perceived social benefits.

This study is the first empirical research to examine the effectiveness of marketing in the Metaverse. It also proposes a new theoretical model based on SET to investigate users’ behavioral intentions regarding marketing in the Metaverse, and confirms its explanatory power. Moreover, the results of this study also offer suggestions to brands on how to market to consumers in the Metaverse.

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Understanding user perceptions toward marketing in the metaverse10.1108/K-08-2023-1524Kybernetes2024-02-09© 2024 Emerald Publishing LimitedHeetae YangYeram ChoSang-Yeal HanKybernetesahead-of-printahead-of-print2024-02-0910.1108/K-08-2023-1524https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1524/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Effect of digital skills on citizens’ digital participation: mediating effects of political interest, social issues concern and national identityhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1567/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the context of the digital age, this study aims to investigate the impact of citizens' digital participation on the scientific and democratic decision-making processes of the government. Specifically, the authors focus on the factors influencing citizens' digital participation, with a particular emphasis on their digital skills. Exploring the influence of citizens' digital skills on their digital participation is of great practical significance for eliminating the digital divide and for promoting a life characterized by enriched digital interactions with the public. This study selected the social consciousness survey database of Chinese netizens in 2017, used ordered Probit and OLS models, and comprehensively used the instrumental variable method (IV), causal stepwise regression method and bootstrap method to empirically verify and construct a mechanism model of the influence of digital skills on citizens' digital participation. The empirical findings indicate a noteworthy positive association between citizens' proficiency in digital skills and their active engagement in digital activities. This relationship is positively mediated by factors such as political interest and attention to social issues, underscoring their role in encouraging greater digital participation. Conversely, national identity exhibits a counteractive influence on this mechanism, potentially discouraging digital engagement. Notably, the impact of digital skill mastery on digital participation is more pronounced among non-elderly individuals and those residing in metropolitan areas, highlighting the significance of demographic characteristics in this context. These research results can help the government and other organizations make better decisions and facilitate improvement of citizens' digital participation by promoting their mastery of digital skills.Effect of digital skills on citizens’ digital participation: mediating effects of political interest, social issues concern and national identity
Yu Zhang, Wang Zhang, Jie Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the context of the digital age, this study aims to investigate the impact of citizens' digital participation on the scientific and democratic decision-making processes of the government. Specifically, the authors focus on the factors influencing citizens' digital participation, with a particular emphasis on their digital skills.

Exploring the influence of citizens' digital skills on their digital participation is of great practical significance for eliminating the digital divide and for promoting a life characterized by enriched digital interactions with the public. This study selected the social consciousness survey database of Chinese netizens in 2017, used ordered Probit and OLS models, and comprehensively used the instrumental variable method (IV), causal stepwise regression method and bootstrap method to empirically verify and construct a mechanism model of the influence of digital skills on citizens' digital participation.

The empirical findings indicate a noteworthy positive association between citizens' proficiency in digital skills and their active engagement in digital activities. This relationship is positively mediated by factors such as political interest and attention to social issues, underscoring their role in encouraging greater digital participation. Conversely, national identity exhibits a counteractive influence on this mechanism, potentially discouraging digital engagement. Notably, the impact of digital skill mastery on digital participation is more pronounced among non-elderly individuals and those residing in metropolitan areas, highlighting the significance of demographic characteristics in this context.

These research results can help the government and other organizations make better decisions and facilitate improvement of citizens' digital participation by promoting their mastery of digital skills.

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Effect of digital skills on citizens’ digital participation: mediating effects of political interest, social issues concern and national identity10.1108/K-08-2023-1567Kybernetes2024-01-30© 2024 Emerald Publishing LimitedYu ZhangWang ZhangJie WangKybernetesahead-of-printahead-of-print2024-01-3010.1108/K-08-2023-1567https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1567/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Blockchain technology adoption for collaborative emission reduction considering carbon information asymmetry in supply chainshttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1570/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestCollaborative emission reduction among supply chain members has emerged as a new trend to achieve climate neutrality goals and meet consumers’ low-carbon preferences. However, carbon information asymmetry and consumer mistrust represent significant obstacles. This paper investigates the value of blockchain technology (BCT) in solving the above issues. A low-carbon supply chain consisting of one supplier and one manufacturer is examined. This study discusses three scenarios: non-adoption BCT, adoption BCT without sharing the supplier’s carbon emission reduction (CER) information and adoption BCT with sharing the supplier’s CER information. We analyze the optimal decisions of the supplier and the manufacturer through the Stackelberg game, identify the conditions in which the supplier and manufacturer adopt BCT and share information from the perspectives of economic and environmental performance. The results show that adopting BCT benefits supply chain members, even if they do not share CER information through BCT. Furthermore, when the supplier’s CER efficiency is low, the manufacturer prefers that the supplier share this information. Counterintuitively, the supplier will only share CER information through BCT when the CER efficiencies of both the supplier and manufacturer are comparable. This diverges from the findings of existing studies, as the CER investments of the supplier and the manufacturer in this study are interdependent. In addition, despite the high energy consumption associated with BCT, the supplier and manufacturer embrace its adoption and share CER information for the sake of environmental benefits. The firms in low-carbon supply chains can adopt BCT to improve consumers’ trust. Furthermore, if the CER efficiencies of the firms are low, they should share CER information through BCT. Nonetheless, a lower unit usage cost of BCT is the precondition. This paper makes the first move to discuss BCT adoption and BCT-supported information sharing for collaborative emission reduction in supply chains while considering the transparency and high consumption of BCT.Blockchain technology adoption for collaborative emission reduction considering carbon information asymmetry in supply chains
Xue-Yan Wu, Xujin Pu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Collaborative emission reduction among supply chain members has emerged as a new trend to achieve climate neutrality goals and meet consumers’ low-carbon preferences. However, carbon information asymmetry and consumer mistrust represent significant obstacles. This paper investigates the value of blockchain technology (BCT) in solving the above issues.

A low-carbon supply chain consisting of one supplier and one manufacturer is examined. This study discusses three scenarios: non-adoption BCT, adoption BCT without sharing the supplier’s carbon emission reduction (CER) information and adoption BCT with sharing the supplier’s CER information. We analyze the optimal decisions of the supplier and the manufacturer through the Stackelberg game, identify the conditions in which the supplier and manufacturer adopt BCT and share information from the perspectives of economic and environmental performance.

The results show that adopting BCT benefits supply chain members, even if they do not share CER information through BCT. Furthermore, when the supplier’s CER efficiency is low, the manufacturer prefers that the supplier share this information. Counterintuitively, the supplier will only share CER information through BCT when the CER efficiencies of both the supplier and manufacturer are comparable. This diverges from the findings of existing studies, as the CER investments of the supplier and the manufacturer in this study are interdependent. In addition, despite the high energy consumption associated with BCT, the supplier and manufacturer embrace its adoption and share CER information for the sake of environmental benefits.

The firms in low-carbon supply chains can adopt BCT to improve consumers’ trust. Furthermore, if the CER efficiencies of the firms are low, they should share CER information through BCT. Nonetheless, a lower unit usage cost of BCT is the precondition.

This paper makes the first move to discuss BCT adoption and BCT-supported information sharing for collaborative emission reduction in supply chains while considering the transparency and high consumption of BCT.

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Blockchain technology adoption for collaborative emission reduction considering carbon information asymmetry in supply chains10.1108/K-08-2023-1570Kybernetes2024-02-20© 2024 Emerald Publishing LimitedXue-Yan WuXujin PuKybernetesahead-of-printahead-of-print2024-02-2010.1108/K-08-2023-1570https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1570/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
How policy designs influence the innovation performance of China's emergency industry: an institutional grammar perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1572/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study provides a configurational examination of how policy designs influence the innovation performance of the emergency industry in China. This study employs the Data Envelopment Analysis Malmquist index (DEA-Malmquist) to quantify the innovation performance of the emergency industry and then codes the innovation policies to calculate the syntactic components based on institutional grammar tools (IGTs). The configurations of syntactic components were determined by applying the fuzzy-set qualitative comparative analysis (fsQCA). The results indicate that rules- and norms-oriented policy designs would improve the innovation performance of China's emergency industry. In the developed provinces, the “Deontic” and “aIm” combinations in the policy are useful for improving performance. In the developing provinces, the ambiguity of the “aIm” and “Context” conditions in the policy is leading to low performance. Additionally, a lack of strategy-oriented policy design would also result in poor performance. Most previous studies used substitute variables to understand policy impacts. This study contributes to identifying the impacts of the syntactic components of policy designs on the innovation performance of the emergency industry. The findings can assist policymakers in developing more effective policies to stimulate innovation development in the emergency industry.How policy designs influence the innovation performance of China's emergency industry: an institutional grammar perspective
Chao Yang, Wei Jia
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study provides a configurational examination of how policy designs influence the innovation performance of the emergency industry in China.

This study employs the Data Envelopment Analysis Malmquist index (DEA-Malmquist) to quantify the innovation performance of the emergency industry and then codes the innovation policies to calculate the syntactic components based on institutional grammar tools (IGTs). The configurations of syntactic components were determined by applying the fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that rules- and norms-oriented policy designs would improve the innovation performance of China's emergency industry. In the developed provinces, the “Deontic” and “aIm” combinations in the policy are useful for improving performance. In the developing provinces, the ambiguity of the “aIm” and “Context” conditions in the policy is leading to low performance. Additionally, a lack of strategy-oriented policy design would also result in poor performance.

Most previous studies used substitute variables to understand policy impacts. This study contributes to identifying the impacts of the syntactic components of policy designs on the innovation performance of the emergency industry. The findings can assist policymakers in developing more effective policies to stimulate innovation development in the emergency industry.

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How policy designs influence the innovation performance of China's emergency industry: an institutional grammar perspective10.1108/K-08-2023-1572Kybernetes2023-11-14© 2023 Emerald Publishing LimitedChao YangWei JiaKybernetesahead-of-printahead-of-print2023-11-1410.1108/K-08-2023-1572https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1572/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
International tourism development in the digital economy era: the role of ICT services and digital financehttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1574/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to investigate how information and communication technology (ICT) services and digital finance affect the development of international tourism. The two-way fixed effect panel regression model, spatial econometric model, panel threshold regression model and panel quantile regression model are used. Data on tourism, economic and social development in 198 Chinese cities from 2011 to 2020 are analyzed. This study finds that digital economy including ICT services and digital finance has significantly promoted the development of international tourism industry, while there is a negative spatial spillover effect. The promotion effect of international tourism increases significantly after digital innovation reaches the threshold value. International tourism is benefiting more from digital economy with the development of international tourism industry. The development quality of international tourism industry has not been analyzed due to data limitations, and the mechanism has not been tested. This study creatively reveals the development of international tourism industry in the digital economy era from ICT services and digital finance perspectives. This study also shows the spatial, nonlinear and asymmetric relationship between digital economy and international tourism.International tourism development in the digital economy era: the role of ICT services and digital finance
Chien-Chiang Lee, Jiayi Shi, Hui Zhang, Huwei Wen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to investigate how information and communication technology (ICT) services and digital finance affect the development of international tourism.

The two-way fixed effect panel regression model, spatial econometric model, panel threshold regression model and panel quantile regression model are used. Data on tourism, economic and social development in 198 Chinese cities from 2011 to 2020 are analyzed.

This study finds that digital economy including ICT services and digital finance has significantly promoted the development of international tourism industry, while there is a negative spatial spillover effect. The promotion effect of international tourism increases significantly after digital innovation reaches the threshold value. International tourism is benefiting more from digital economy with the development of international tourism industry.

The development quality of international tourism industry has not been analyzed due to data limitations, and the mechanism has not been tested.

This study creatively reveals the development of international tourism industry in the digital economy era from ICT services and digital finance perspectives. This study also shows the spatial, nonlinear and asymmetric relationship between digital economy and international tourism.

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International tourism development in the digital economy era: the role of ICT services and digital finance10.1108/K-08-2023-1574Kybernetes2023-10-10© 2023 Emerald Publishing LimitedChien-Chiang LeeJiayi ShiHui ZhangHuwei WenKybernetesahead-of-printahead-of-print2023-10-1010.1108/K-08-2023-1574https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1574/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The role of artificial intelligence in corporate digital strategies: evidence from Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1583/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure. To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings. The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs. This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.The role of artificial intelligence in corporate digital strategies: evidence from China
Shaohua Yang, Murtaza Hussain, R.M. Ammar Zahid, Umer Sahil Maqsood
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.

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The role of artificial intelligence in corporate digital strategies: evidence from China10.1108/K-08-2023-1583Kybernetes2024-02-08© 2024 Emerald Publishing LimitedShaohua YangMurtaza HussainR.M. Ammar ZahidUmer Sahil MaqsoodKybernetesahead-of-printahead-of-print2024-02-0810.1108/K-08-2023-1583https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1583/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Does rural infrastructure resilience affect population loss? Empirical research based on spatial measurementshttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1590/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestBy analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world. This study considered 213 administrative villages in Longxi County in the Longzhong loess hilly region as the evaluation unit. Based on the construction of a multidimensional RIR evaluation system, the spatial spillover effect of RIR on population loss was determined using the spatial Durbin model (SDM). The average resilience of each subsystem of rural infrastructure in Longxi County was low, and there were large differences in the spatial distribution. The mean RIR index value was 0.2258, with obvious spatial directivity and agglomeration characteristics. The population loss index of Longxi County had a value of 0.1759, with 26.29 of villages having a high loss level. The population loss was relatively serious and was correlated with the spatial distribution of RIR. The villages with larger RIR index values had lower population loss. The RIR had a significant spatial spillover effect on population loss. Productive infrastructure resilience and living infrastructure resilience (LIR) had negative spillover effects on population loss, and social service infrastructure resilience (SSIR) had a positive spillover effect on population loss. By analyzing the mechanisms by which RIR impacted on population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.Does rural infrastructure resilience affect population loss? Empirical research based on spatial measurements
Jieyu Li, Libang Ma, Tianmin Tao, Zhihang Zhu, Sixia Li
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

By analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

This study considered 213 administrative villages in Longxi County in the Longzhong loess hilly region as the evaluation unit. Based on the construction of a multidimensional RIR evaluation system, the spatial spillover effect of RIR on population loss was determined using the spatial Durbin model (SDM).

The average resilience of each subsystem of rural infrastructure in Longxi County was low, and there were large differences in the spatial distribution. The mean RIR index value was 0.2258, with obvious spatial directivity and agglomeration characteristics. The population loss index of Longxi County had a value of 0.1759, with 26.29 of villages having a high loss level. The population loss was relatively serious and was correlated with the spatial distribution of RIR. The villages with larger RIR index values had lower population loss. The RIR had a significant spatial spillover effect on population loss. Productive infrastructure resilience and living infrastructure resilience (LIR) had negative spillover effects on population loss, and social service infrastructure resilience (SSIR) had a positive spillover effect on population loss.

By analyzing the mechanisms by which RIR impacted on population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

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Does rural infrastructure resilience affect population loss? Empirical research based on spatial measurements10.1108/K-08-2023-1590Kybernetes2024-02-12© 2024 Emerald Publishing LimitedJieyu LiLibang MaTianmin TaoZhihang ZhuSixia LiKybernetesahead-of-printahead-of-print2024-02-1210.1108/K-08-2023-1590https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1590/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Incorporating sustainability in organizational strategy: a framework for enhancing sustainable knowledge management and green innovationhttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1606/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI) and corporate sustainable development (CSD) in diverse Pakistani organizations. This study employs a comprehensive research methodology involving advanced statistical techniques, such as confirmatory factor analysis, structural equation modeling and hierarchical linear modeling. These methods are instrumental in exploring the complex interrelationships between SKM, GI, moderating factors and CSD. This research generates significant findings and actively contributes to sustainable development. The following sections (Sections 4 and 5) delve into the specific findings and in-depth discussions, shedding light on how industry regulation, organizational sustainability priorities, workplace culture collaboration and alignment between green culture and knowledge management practices influence the relationships between SKM, GI and CSD. These findings provide valuable insights for the research community and organizations striving for sustainability. The study’s findings have practical implications for organizations seeking to enhance their sustainability efforts and embrace a socially and environmentally conscious approach to organizational growth. This study contributes to the literature on sustainable practices and organizational development. Researchers and business people can learn a lot from it because it uses advanced econometric models in new ways and focuses on the link between knowledge management, GI and sustainable corporate development.Incorporating sustainability in organizational strategy: a framework for enhancing sustainable knowledge management and green innovation
Mohsin Rasheed, Jianhua Liu, Ehtisham Ali
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI) and corporate sustainable development (CSD) in diverse Pakistani organizations.

This study employs a comprehensive research methodology involving advanced statistical techniques, such as confirmatory factor analysis, structural equation modeling and hierarchical linear modeling. These methods are instrumental in exploring the complex interrelationships between SKM, GI, moderating factors and CSD.

This research generates significant findings and actively contributes to sustainable development. The following sections (Sections 4 and 5) delve into the specific findings and in-depth discussions, shedding light on how industry regulation, organizational sustainability priorities, workplace culture collaboration and alignment between green culture and knowledge management practices influence the relationships between SKM, GI and CSD. These findings provide valuable insights for the research community and organizations striving for sustainability.

The study’s findings have practical implications for organizations seeking to enhance their sustainability efforts and embrace a socially and environmentally conscious approach to organizational growth.

This study contributes to the literature on sustainable practices and organizational development. Researchers and business people can learn a lot from it because it uses advanced econometric models in new ways and focuses on the link between knowledge management, GI and sustainable corporate development.

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Incorporating sustainability in organizational strategy: a framework for enhancing sustainable knowledge management and green innovation10.1108/K-08-2023-1606Kybernetes2024-01-15© 2023 Emerald Publishing LimitedMohsin RasheedJianhua LiuEhtisham AliKybernetesahead-of-printahead-of-print2024-01-1510.1108/K-08-2023-1606https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1606/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Detection model for key nodes of manufacturing industry chain stability under complex networks: a naval architecture and marine engineering equipment industry chain examplehttps://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1619/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestCurrently, China’s manufacturing industry chain still faces the danger of chain breakage due to the persistent “lack of technology” issue. The definition and detection of key nodes in the industry chain are significant to the enhancement of the stability of the industry chain. Therefore, detecting the key nodes in the manufacturing industry chain is necessary. A complex network based on the links amongst listed manufacturing enterprises is built, and the authors analyse the network’s basic characteristics and vulnerability, taking into account the impact of scientific and technological innovation on the stability of the industry chain. It is found that the high structural characteristic of midstream nodes in the naval architecture and marine engineering equipment industry chain determines their importance to stability, and the key status of upstream nodes is reflected in the weakness of technological innovation. The upstream nodes should focus on improving their independent innovation and R&D capability, whilst the midstream nodes should maintain a close supply–demand cooperation relationship. The key node detection model for industry chain stability is constructed by considering various factors from the perspective of network and technological innovation. Empirical study is conducted to verify effectiveness of proposed method.Detection model for key nodes of manufacturing industry chain stability under complex networks: a naval architecture and marine engineering equipment industry chain example
Lan Xu, Xueyi Zhu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Currently, China’s manufacturing industry chain still faces the danger of chain breakage due to the persistent “lack of technology” issue. The definition and detection of key nodes in the industry chain are significant to the enhancement of the stability of the industry chain. Therefore, detecting the key nodes in the manufacturing industry chain is necessary.

A complex network based on the links amongst listed manufacturing enterprises is built, and the authors analyse the network’s basic characteristics and vulnerability, taking into account the impact of scientific and technological innovation on the stability of the industry chain.

It is found that the high structural characteristic of midstream nodes in the naval architecture and marine engineering equipment industry chain determines their importance to stability, and the key status of upstream nodes is reflected in the weakness of technological innovation. The upstream nodes should focus on improving their independent innovation and R&D capability, whilst the midstream nodes should maintain a close supply–demand cooperation relationship.

The key node detection model for industry chain stability is constructed by considering various factors from the perspective of network and technological innovation. Empirical study is conducted to verify effectiveness of proposed method.

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Detection model for key nodes of manufacturing industry chain stability under complex networks: a naval architecture and marine engineering equipment industry chain example10.1108/K-08-2023-1619Kybernetes2024-02-01© 2024 Emerald Publishing LimitedLan XuXueyi ZhuKybernetesahead-of-printahead-of-print2024-02-0110.1108/K-08-2023-1619https://www.emerald.com/insight/content/doi/10.1108/K-08-2023-1619/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The optimal capacity decision of the catering merchant in omnichannel – service, production and delivery capacityhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1205/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestOmnichannel sales have provided new impetus for the development of catering merchants. The authors thus focus on how catering merchants should manage capacities at the ordering, production and delivery stages to meet customers’ needs in different channels under third-party platform delivery and merchant self-delivery. This is of great significance for the development of the omnichannel catering industry. This paper formulates the capacity decisions of omnichannel catering merchants under the third-party platform delivery and merchant self-delivery mode. The authors mainly use queuing theory to analyze the queuing behavior of online and offline customers, and the impact of waiting time on customer shopping behavior. In addition, the authors also characterize the merchant’s capacity by the rate in queuing model. The authors find that capacities at ordering stage and food production stage are composed of base capacities and safety capacities, but the delivery capacities only have the latter. And in the self-delivery mode, merchants can develop higher safety capacities by charging delivery fees. The authors prove that regardless of the delivery mode, omnichannel sales can bring higher profits to merchants by integrating demand. The authors focus on analyzing the capacity management of omnichannel catering merchants at the ordering, production and delivery stages. And the authors also add the delivery process into the omnichannel for analysis, so as to solve the problem of capacity decision-making under different delivery modes. The management of delivery capacity and its impact on other stages’ capacities are not covered in other literature studies, which is one of the main innovations of this paper.The optimal capacity decision of the catering merchant in omnichannel – service, production and delivery capacity
Wentao Zhan, Minghui Jiang, Xueping Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Omnichannel sales have provided new impetus for the development of catering merchants. The authors thus focus on how catering merchants should manage capacities at the ordering, production and delivery stages to meet customers’ needs in different channels under third-party platform delivery and merchant self-delivery. This is of great significance for the development of the omnichannel catering industry.

This paper formulates the capacity decisions of omnichannel catering merchants under the third-party platform delivery and merchant self-delivery mode. The authors mainly use queuing theory to analyze the queuing behavior of online and offline customers, and the impact of waiting time on customer shopping behavior. In addition, the authors also characterize the merchant’s capacity by the rate in queuing model.

The authors find that capacities at ordering stage and food production stage are composed of base capacities and safety capacities, but the delivery capacities only have the latter. And in the self-delivery mode, merchants can develop higher safety capacities by charging delivery fees. The authors prove that regardless of the delivery mode, omnichannel sales can bring higher profits to merchants by integrating demand.

The authors focus on analyzing the capacity management of omnichannel catering merchants at the ordering, production and delivery stages. And the authors also add the delivery process into the omnichannel for analysis, so as to solve the problem of capacity decision-making under different delivery modes. The management of delivery capacity and its impact on other stages’ capacities are not covered in other literature studies, which is one of the main innovations of this paper.

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The optimal capacity decision of the catering merchant in omnichannel – service, production and delivery capacity10.1108/K-09-2022-1205Kybernetes2023-03-02© 2023 Emerald Publishing LimitedWentao ZhanMinghui JiangXueping WangKybernetesahead-of-printahead-of-print2023-03-0210.1108/K-09-2022-1205https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1205/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Optimal strategies for nanostores under competition in community group buyinghttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1220/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestFor nanostores, striving to become the community group-buying leader is gaining prominence. This paper aims to construct Hotelling linear models to investigate whether nanostores should be registered as leaders and their decisions in a competitive environment. This paper constructs three Hotelling linear models: neither nanostore registers as community leader, only one nanostore registers as community leader and both nanostores register as community leader. The competitive operation strategies of two general nanostores under three scenarios are solved. The study finds that nanostores without a cost advantage may benefit from being the first leader. The nanostore's preferred decisions depend on the investment cost parameters of its own and competitors which may lead to market share competition. Furthermore, consumers' sensitivity to community group-buying service has a negative effect on nanostores' profit. The study is one of the few to consider the competition between community leaders. Besides, the study considers that the utilities functions of consumers are concurrently impacted by the service decisions, along with the price in different nanostores. It can provide nanostores useful implications in the dynamic industry.Optimal strategies for nanostores under competition in community group buying
Lingli Shu, Xiaoyan Li, Xuedong Liang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

For nanostores, striving to become the community group-buying leader is gaining prominence. This paper aims to construct Hotelling linear models to investigate whether nanostores should be registered as leaders and their decisions in a competitive environment.

This paper constructs three Hotelling linear models: neither nanostore registers as community leader, only one nanostore registers as community leader and both nanostores register as community leader. The competitive operation strategies of two general nanostores under three scenarios are solved.

The study finds that nanostores without a cost advantage may benefit from being the first leader. The nanostore's preferred decisions depend on the investment cost parameters of its own and competitors which may lead to market share competition. Furthermore, consumers' sensitivity to community group-buying service has a negative effect on nanostores' profit.

The study is one of the few to consider the competition between community leaders. Besides, the study considers that the utilities functions of consumers are concurrently impacted by the service decisions, along with the price in different nanostores. It can provide nanostores useful implications in the dynamic industry.

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Optimal strategies for nanostores under competition in community group buying10.1108/K-09-2022-1220Kybernetes2023-04-28© 2023 Emerald Publishing LimitedLingli ShuXiaoyan LiXuedong LiangKybernetesahead-of-printahead-of-print2023-04-2810.1108/K-09-2022-1220https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1220/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Artificial intelligence service agents: a silver lining in rural Indiahttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1239/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study aims to examine the impact of an artificial intelligent service agent (AISA) on customer services to the rural population provided by KAYA, Kotak Life's AI-enabled insurance chatbot avatar that offers quality insurance services. Multi-stage cluster sampling method was adopted to collect the responses from the 707 customers across the rural population of southern states of India. SPSS V.2 and Smart PLS 4 were used to apply simple percentage analysis, multiple linear regression analysis, and structural equation modeling (SEM) to validate the hypothesis. The dependent variables are economic performance and market performance based on the independent variables: efficiency, security, availability, enjoyment and contact. The study revealed that efficiency and security are the highest predictors and the most influencing variables in predicting the economic and market performance of the insurance companies in determining the quality of service when rendered through AISA among the customers. Efficiency, security, availability, contact and enjoyment are the critical dimensions of AISA. It has a more significant impact on quality service (claim processing) to the rural population. It improves the economic and market performance among the insurance companies and the rural population. Customers need convenience when making claims. Even little challenges might lead to stress and unhappiness, depending on the situation. Restrictions on where customers can file claims may not be the most outstanding service insurance firms can offer, given rising travel and commuting costs and widening geographical borders. Customers value proactive communication from service providers about the status of their insurance claims.Artificial intelligence service agents: a silver lining in rural India
Hariharan Ravi, R. Vedapradha
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study aims to examine the impact of an artificial intelligent service agent (AISA) on customer services to the rural population provided by KAYA, Kotak Life's AI-enabled insurance chatbot avatar that offers quality insurance services.

Multi-stage cluster sampling method was adopted to collect the responses from the 707 customers across the rural population of southern states of India. SPSS V.2 and Smart PLS 4 were used to apply simple percentage analysis, multiple linear regression analysis, and structural equation modeling (SEM) to validate the hypothesis. The dependent variables are economic performance and market performance based on the independent variables: efficiency, security, availability, enjoyment and contact.

The study revealed that efficiency and security are the highest predictors and the most influencing variables in predicting the economic and market performance of the insurance companies in determining the quality of service when rendered through AISA among the customers. Efficiency, security, availability, contact and enjoyment are the critical dimensions of AISA. It has a more significant impact on quality service (claim processing) to the rural population. It improves the economic and market performance among the insurance companies and the rural population.

Customers need convenience when making claims. Even little challenges might lead to stress and unhappiness, depending on the situation. Restrictions on where customers can file claims may not be the most outstanding service insurance firms can offer, given rising travel and commuting costs and widening geographical borders. Customers value proactive communication from service providers about the status of their insurance claims.

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Artificial intelligence service agents: a silver lining in rural India10.1108/K-09-2022-1239Kybernetes2023-04-07© 2023 Emerald Publishing LimitedHariharan RaviR. VedapradhaKybernetesahead-of-printahead-of-print2023-04-0710.1108/K-09-2022-1239https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1239/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Does executive compensation mechanism balance performance with risk-taking? Evidence from China's banking systemhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1251/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn this study, the authors demonstrate the inherent connections between bank risk-taking, performance and executive compensation in the banking sector of China by developing a theoretical model and performing empirical tests with simultaneous equation models. The authors construct a multi-task principal-agent model to capture agency problems in China, and the model can be extended to various cases. In empirical tests, simultaneous equation models are used to examine the theoretical predictions by eliminating endogenous concerns efficiently compared with the methods in the existing literature. The results indicate that the regulator fails to provide bank managers with positive incentives to control risk, whereas the compensation guidance policy (2010) proposed by the CBRC alleviates this problem in China. Additionally, the authors established that shareholders reward bank managers for better and more stable performance. The authors propose the introduction of restricted stock options into the compensation design, as the existing compensation design fails to balance the performance and risk-taking of banks. First, the executive compensation structure and details in China are not available. In addition, the equity-based incentive compensation is forbidden. Therefore, this paper cannot provide more details about how the compensation structure affects bank manager behaviours. Secondly, the database consists only 25 listed commercial banks. Luckily, the assets of these banks could account for the vast majority of China's banking assets. The authors also expect that new methodologies such as machine learning and deep learning will be adopted in the research on bank risk management. First, the regulator should optimise the compositions and payment rule of bank executive compensations. Secondly, it is advisable to adopt restricted deferred share reward or stock option compensation in due course. Thirdly, the regulator can require the banks that undertake excessive risks and troubled by moral hazard to increase the independent director proportion on the bank board according to the authors' empirical tests that higher independent proportion prevents the risk accumulations effectively. Fourthly, except for absolute compensation, the gap between executives' salary and average employee's income should be taken account. This study provides a theoretical framework that incorporates the manager behaviours, executive compensation and bank regulations, and it provides empirical tests by solving endogenous concerns. Additionally, this study examines the effects of China's compensation guidelines issued in 2010. The authors believe that this study adds value to the existing literature by illustrating the compensation mechanism in China.Does executive compensation mechanism balance performance with risk-taking? Evidence from China's banking system
Yunsong Jiang, Chao Yuan, Jinyi Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In this study, the authors demonstrate the inherent connections between bank risk-taking, performance and executive compensation in the banking sector of China by developing a theoretical model and performing empirical tests with simultaneous equation models.

The authors construct a multi-task principal-agent model to capture agency problems in China, and the model can be extended to various cases. In empirical tests, simultaneous equation models are used to examine the theoretical predictions by eliminating endogenous concerns efficiently compared with the methods in the existing literature.

The results indicate that the regulator fails to provide bank managers with positive incentives to control risk, whereas the compensation guidance policy (2010) proposed by the CBRC alleviates this problem in China. Additionally, the authors established that shareholders reward bank managers for better and more stable performance. The authors propose the introduction of restricted stock options into the compensation design, as the existing compensation design fails to balance the performance and risk-taking of banks.

First, the executive compensation structure and details in China are not available. In addition, the equity-based incentive compensation is forbidden. Therefore, this paper cannot provide more details about how the compensation structure affects bank manager behaviours. Secondly, the database consists only 25 listed commercial banks. Luckily, the assets of these banks could account for the vast majority of China's banking assets. The authors also expect that new methodologies such as machine learning and deep learning will be adopted in the research on bank risk management.

First, the regulator should optimise the compositions and payment rule of bank executive compensations. Secondly, it is advisable to adopt restricted deferred share reward or stock option compensation in due course. Thirdly, the regulator can require the banks that undertake excessive risks and troubled by moral hazard to increase the independent director proportion on the bank board according to the authors' empirical tests that higher independent proportion prevents the risk accumulations effectively. Fourthly, except for absolute compensation, the gap between executives' salary and average employee's income should be taken account.

This study provides a theoretical framework that incorporates the manager behaviours, executive compensation and bank regulations, and it provides empirical tests by solving endogenous concerns. Additionally, this study examines the effects of China's compensation guidelines issued in 2010. The authors believe that this study adds value to the existing literature by illustrating the compensation mechanism in China.

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Does executive compensation mechanism balance performance with risk-taking? Evidence from China's banking system10.1108/K-09-2022-1251Kybernetes2023-04-27© 2023 Emerald Publishing LimitedYunsong JiangChao YuanJinyi ZhangKybernetesahead-of-printahead-of-print2023-04-2710.1108/K-09-2022-1251https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1251/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Optimal referral rewards for poverty-alleviating products based on the structural equation interpretationhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1280/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe goal of this study is to investigate the mediating effect of referral rewards on consumer willingness to recommend poverty-alleviating products and to identify the most effective referral rewards for incentivizing consumers to recommend poverty-alleviating products. Tournament rewards and piece-rate rewards are designed based on the theory of indebtedness, the related literature and the actual background. SPSS 26.0 and AMOS 17.0 are used to analyze the structural equation model. According to the structural equation analysis, the following findings were found: under the tournament reward condition, social image, feelings of indebtedness and perceived reward value negatively affect consumer willingness to recommend. Under the piece-rate reward condition, social image and feelings of indebtedness significantly negatively affect consumer recommendation willingness, while perceived reward value significantly positively affects consumer recommendation willingness. The mean recommendation willingness of the tournament reward group is significantly lower than that of the control group. In contrast, the mean recommendation willingness of the piece-rate rewards group is significantly higher than that of the control group. Based on the study findings, the authors propose that enterprises apply piece-rate rewards to incentivize consumers to recommend poverty-alleviating products when designing such rewards. In this way, the sale of poverty-alleviating products can be improved.Optimal referral rewards for poverty-alleviating products based on the structural equation interpretation
Fei Zou, Yanju Zhou
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The goal of this study is to investigate the mediating effect of referral rewards on consumer willingness to recommend poverty-alleviating products and to identify the most effective referral rewards for incentivizing consumers to recommend poverty-alleviating products.

Tournament rewards and piece-rate rewards are designed based on the theory of indebtedness, the related literature and the actual background. SPSS 26.0 and AMOS 17.0 are used to analyze the structural equation model.

According to the structural equation analysis, the following findings were found: under the tournament reward condition, social image, feelings of indebtedness and perceived reward value negatively affect consumer willingness to recommend. Under the piece-rate reward condition, social image and feelings of indebtedness significantly negatively affect consumer recommendation willingness, while perceived reward value significantly positively affects consumer recommendation willingness. The mean recommendation willingness of the tournament reward group is significantly lower than that of the control group. In contrast, the mean recommendation willingness of the piece-rate rewards group is significantly higher than that of the control group.

Based on the study findings, the authors propose that enterprises apply piece-rate rewards to incentivize consumers to recommend poverty-alleviating products when designing such rewards. In this way, the sale of poverty-alleviating products can be improved.

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Optimal referral rewards for poverty-alleviating products based on the structural equation interpretation10.1108/K-09-2022-1280Kybernetes2023-11-02© 2023 Emerald Publishing LimitedFei ZouYanju ZhouKybernetesahead-of-printahead-of-print2023-11-0210.1108/K-09-2022-1280https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1280/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effect mechanism of the celebrity persona on consumers' purchase intention: based on the analysis of the grounded theoryhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1300/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to use the grounded theory to summarize the types of celebrity persona and to construct a theoretical model for celebrity persona on consumer purchase intention. Based on the study results, it provides better suggestions for merchants and live streamers and is an expansion of previous research on live-streaming e-commerce. The grounded theory is recognized as the most scientific qualitative research method and is the ideal explorative method for generating theory. First, the participants were interviewed, and interview data were collected. Then the interview data were organized and analyzed. Finally, this paper summarizes the types of celebrity persona and constructes a theoretical model framework of celebrity persona on consumers' purchase intention. The results show that the celebrity live streamer persona can be divided into two types: personalized persona and professional persona. Through emotional attachment, the celebrity's persona affects the consumer's purchase intentions. As well as, product type plays a moderating role between celebrity persona and consumer purchase intentions. The contribution of this research is to start from the celebrity persona, link the celebrity persona with the consumer purchase intentions and expand the research scope of the celebrity persona. It opens the “black box” of the heterogeneity of celebrity live streamers' characteristics on consumer purchase intentions.The effect mechanism of the celebrity persona on consumers' purchase intention: based on the analysis of the grounded theory
Bing Lei, Saihua Shi, Wei Liu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to use the grounded theory to summarize the types of celebrity persona and to construct a theoretical model for celebrity persona on consumer purchase intention. Based on the study results, it provides better suggestions for merchants and live streamers and is an expansion of previous research on live-streaming e-commerce.

The grounded theory is recognized as the most scientific qualitative research method and is the ideal explorative method for generating theory. First, the participants were interviewed, and interview data were collected. Then the interview data were organized and analyzed. Finally, this paper summarizes the types of celebrity persona and constructes a theoretical model framework of celebrity persona on consumers' purchase intention.

The results show that the celebrity live streamer persona can be divided into two types: personalized persona and professional persona. Through emotional attachment, the celebrity's persona affects the consumer's purchase intentions. As well as, product type plays a moderating role between celebrity persona and consumer purchase intentions.

The contribution of this research is to start from the celebrity persona, link the celebrity persona with the consumer purchase intentions and expand the research scope of the celebrity persona. It opens the “black box” of the heterogeneity of celebrity live streamers' characteristics on consumer purchase intentions.

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The effect mechanism of the celebrity persona on consumers' purchase intention: based on the analysis of the grounded theory10.1108/K-09-2022-1300Kybernetes2023-03-28© 2023 Emerald Publishing LimitedBing LeiSaihua ShiWei LiuKybernetesahead-of-printahead-of-print2023-03-2810.1108/K-09-2022-1300https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1300/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
An evolutionary game-theoretic analysis of cooperation strategy between SMEs and cross-border e-commerce platforms considering the cross-network effecthttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1316/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to propose the mechanism of cross-network effect embedded, which can help cross-border e-commerce (CBEC) platforms strengthen cooperative relationships with sellers more equitably and effectively by using the network structural characteristics of the platforms themselves. A two-stage evolutionary game model has been used to confirm the influence factors. The mathematical derivation of evolutionary game analysis is combined with the simulation method to examine the role of cross-network effect in cooperation. The evolutionary game model based on the cross-network effect is proposed to achieve better adaptability to the study of cooperation strategy from the two-sided market perspective. The evolutionary game model captures the interactions of cross-network effect and the influence factors from a dynamic perspective. The cross-network effect has a certain substitution on the revenue-sharing rate of SMEs. CBEC platforms can enhance the connection between consumers and the website by improving the level of construction, which is a good way to attract sellers more cost-effectively and efficiently. This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specificCBEC platforms. This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specific CBEC platforms. Investigations that study cooperation strategy from the cross-network effect perspective in CBEC are limited. The research figured out which influence factors are affected by the cross-network effect in cooperation. A two-stage evolutionary game model was proposed to explain the interaction of the factors. The evolutionary game analysis with a simulation method was combined to highlight the role of cross-network effect on cooperation strategy to give a deeper investigation into the sustainable cooperation ofCBEC.An evolutionary game-theoretic analysis of cooperation strategy between SMEs and cross-border e-commerce platforms considering the cross-network effect
Shan Du
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to propose the mechanism of cross-network effect embedded, which can help cross-border e-commerce (CBEC) platforms strengthen cooperative relationships with sellers more equitably and effectively by using the network structural characteristics of the platforms themselves.

A two-stage evolutionary game model has been used to confirm the influence factors. The mathematical derivation of evolutionary game analysis is combined with the simulation method to examine the role of cross-network effect in cooperation. The evolutionary game model based on the cross-network effect is proposed to achieve better adaptability to the study of cooperation strategy from the two-sided market perspective.

The evolutionary game model captures the interactions of cross-network effect and the influence factors from a dynamic perspective. The cross-network effect has a certain substitution on the revenue-sharing rate of SMEs. CBEC platforms can enhance the connection between consumers and the website by improving the level of construction, which is a good way to attract sellers more cost-effectively and efficiently.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specificCBEC platforms.

This study provides a new method for the validation of the cross-network effect, especially when data collection is difficult. But this method is only a numerical simulation. So the conclusions still need to be further tested empirically. Besides, researchers are advised to explore the relationship between the added user scale and the cross-network effect in some specific CBEC platforms.

Investigations that study cooperation strategy from the cross-network effect perspective in CBEC are limited. The research figured out which influence factors are affected by the cross-network effect in cooperation. A two-stage evolutionary game model was proposed to explain the interaction of the factors. The evolutionary game analysis with a simulation method was combined to highlight the role of cross-network effect on cooperation strategy to give a deeper investigation into the sustainable cooperation ofCBEC.

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An evolutionary game-theoretic analysis of cooperation strategy between SMEs and cross-border e-commerce platforms considering the cross-network effect10.1108/K-09-2022-1316Kybernetes2023-02-28© 2023 Emerald Publishing LimitedShan DuKybernetesahead-of-printahead-of-print2023-02-2810.1108/K-09-2022-1316https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1316/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Whether the reform of the accounting system affects the corporate innovative behavior: evidence from a quasi-natural experimenthttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1321/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to investigate the impact of the accounting system reform on corporate innovation behavior and the heterogeneity and underlying mechanisms of this impact. This paper further aims to study the impact of accounting system reform on corporate value. This study takes China's A-share listed corporates as a sample and uses the exogenous policy shock of the implementation of the New Accounting Standards in 2007 to design the identification strategy of propensity score matching and difference-in-differences method. By comparing the differences between the innovation level of corporates in high-tech industries and non-high-tech industries before and after the implementation of the New Accounting Standards, the impact of the accounting system reform on corporates' innovative behavior can be identified. Results show that compared with corporates in traditional industries, high-tech corporates obtained higher patent output after the implementation of the New Accounting Standards. This reform mainly affects corporate innovation by improving corporate risk-taking. In addition, this paper finds that the reform of the accounting system has increased the market value of high-tech corporates in the long run. This study provides new empirical evidence for addressing the insufficient innovation incentives for market entities and enriches the existing literature on the economic effects of the change of accounting systems and the influencing factors of corporate innovative behavior from the accounting system perspective.Whether the reform of the accounting system affects the corporate innovative behavior: evidence from a quasi-natural experiment
Xinmeng Hou, Hongji Xie, Shulin Xu, Zefeng Tong, Zeqi Liu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to investigate the impact of the accounting system reform on corporate innovation behavior and the heterogeneity and underlying mechanisms of this impact. This paper further aims to study the impact of accounting system reform on corporate value.

This study takes China's A-share listed corporates as a sample and uses the exogenous policy shock of the implementation of the New Accounting Standards in 2007 to design the identification strategy of propensity score matching and difference-in-differences method. By comparing the differences between the innovation level of corporates in high-tech industries and non-high-tech industries before and after the implementation of the New Accounting Standards, the impact of the accounting system reform on corporates' innovative behavior can be identified.

Results show that compared with corporates in traditional industries, high-tech corporates obtained higher patent output after the implementation of the New Accounting Standards. This reform mainly affects corporate innovation by improving corporate risk-taking. In addition, this paper finds that the reform of the accounting system has increased the market value of high-tech corporates in the long run.

This study provides new empirical evidence for addressing the insufficient innovation incentives for market entities and enriches the existing literature on the economic effects of the change of accounting systems and the influencing factors of corporate innovative behavior from the accounting system perspective.

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Whether the reform of the accounting system affects the corporate innovative behavior: evidence from a quasi-natural experiment10.1108/K-09-2022-1321Kybernetes2023-03-27© 2023 Emerald Publishing LimitedXinmeng HouHongji XieShulin XuZefeng TongZeqi LiuKybernetesahead-of-printahead-of-print2023-03-2710.1108/K-09-2022-1321https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1321/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A reactive scheduling approach for the resource-constrained project scheduling problem with dynamic resource disruptionhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1339/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to develop an algorithm to study the impact of dynamic resource disruption on project makespan and provide a suitable resource disruption ratio for various complex industrial and emergency projects. This paper addresses the RCPSP in dynamic environments, which assumes resources will be disrupted randomly, that is, the information about resource disruption is not known in advance. To this end, a reactive scheduling model is proposed for the case of random dynamic disruptions of resources. To solve the reactive scheduling model, a hybrid genetic algorithm with a variable neighborhood search is proposed. The results obtained on the PSLIB instances prove the performance advantage of the algorithm; through sensitivity analysis, it can be obtained, the project makespan increases exponentially as the number of disruptions increase. Furthermore, if more than 50% of the project's resources are randomly disrupted, the project makespan will be significantly impacted. The paper focuses on the impact of dynamic resource disruptions on project makespan. Few studies have considered stochastic, dynamic resource uncertainty. In addition, this research proposes a reasonable scheduling algorithm for the research problem, and the conclusions drawn from the research provide decision support for project managers.A reactive scheduling approach for the resource-constrained project scheduling problem with dynamic resource disruption
Jiaojiao Xu, Sijun Bai
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to develop an algorithm to study the impact of dynamic resource disruption on project makespan and provide a suitable resource disruption ratio for various complex industrial and emergency projects.

This paper addresses the RCPSP in dynamic environments, which assumes resources will be disrupted randomly, that is, the information about resource disruption is not known in advance. To this end, a reactive scheduling model is proposed for the case of random dynamic disruptions of resources. To solve the reactive scheduling model, a hybrid genetic algorithm with a variable neighborhood search is proposed.

The results obtained on the PSLIB instances prove the performance advantage of the algorithm; through sensitivity analysis, it can be obtained, the project makespan increases exponentially as the number of disruptions increase. Furthermore, if more than 50% of the project's resources are randomly disrupted, the project makespan will be significantly impacted.

The paper focuses on the impact of dynamic resource disruptions on project makespan. Few studies have considered stochastic, dynamic resource uncertainty. In addition, this research proposes a reasonable scheduling algorithm for the research problem, and the conclusions drawn from the research provide decision support for project managers.

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A reactive scheduling approach for the resource-constrained project scheduling problem with dynamic resource disruption10.1108/K-09-2022-1339Kybernetes2023-03-20© 2023 Emerald Publishing LimitedJiaojiao XuSijun BaiKybernetesahead-of-printahead-of-print2023-03-2010.1108/K-09-2022-1339https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1339/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A tri-level optimization model for facility location-protection problem considering design and redesign decisions under disruptionhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1342/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestFortification-interdiction models provide system designers with a broader perspective to identify and protect vital components. Based on this concept, the authors examine how disruptions impact critical supply systems and propose the most effective protection strategies based on three levels of decision-makers. This paper aims to investigate location and fortification decisions at the first level. Moreover, a redesign problem is presented in the third level to locate backup facilities and reallocate undisrupted facilities following the realization of the disruptive agent decisions at the second level. To address this problem, the authors develop a tri-level planner-attacker-defender optimization model. The model minimizes investment and demand satisfaction costs and alleviates maximal post-disruption costs. While decisions are decentralized at different levels, the authors develop an integrated solution algorithm to solve the model using the column-and-constraint generation (CCG) method. The model and the solution approach are tested on a real supply system consisting of several hospitals and demand areas in a region in Iran. Results indicate that incorporating redesign decisions at the third level reduces maximum disruption costs. The paper makes the following contributions: presenting a novel tri-level optimization model to formulate facility location and interdiction problems simultaneously, considering corrective measures at the third level to reconfigure the system after interdiction, creating a resilient supply system that can fulfill all demands after disruptions, employing a nested CCG method to solve the model.A tri-level optimization model for facility location-protection problem considering design and redesign decisions under disruption
Sarasadat Alavi, Ali Bozorgi-Amiri, Seyed Mohammad Seyedhosseini
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Fortification-interdiction models provide system designers with a broader perspective to identify and protect vital components. Based on this concept, the authors examine how disruptions impact critical supply systems and propose the most effective protection strategies based on three levels of decision-makers. This paper aims to investigate location and fortification decisions at the first level. Moreover, a redesign problem is presented in the third level to locate backup facilities and reallocate undisrupted facilities following the realization of the disruptive agent decisions at the second level.

To address this problem, the authors develop a tri-level planner-attacker-defender optimization model. The model minimizes investment and demand satisfaction costs and alleviates maximal post-disruption costs. While decisions are decentralized at different levels, the authors develop an integrated solution algorithm to solve the model using the column-and-constraint generation (CCG) method.

The model and the solution approach are tested on a real supply system consisting of several hospitals and demand areas in a region in Iran. Results indicate that incorporating redesign decisions at the third level reduces maximum disruption costs.

The paper makes the following contributions: presenting a novel tri-level optimization model to formulate facility location and interdiction problems simultaneously, considering corrective measures at the third level to reconfigure the system after interdiction, creating a resilient supply system that can fulfill all demands after disruptions, employing a nested CCG method to solve the model.

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A tri-level optimization model for facility location-protection problem considering design and redesign decisions under disruption10.1108/K-09-2022-1342Kybernetes2023-06-12© 2023 Emerald Publishing LimitedSarasadat AlaviAli Bozorgi-AmiriSeyed Mohammad SeyedhosseiniKybernetesahead-of-printahead-of-print2023-06-1210.1108/K-09-2022-1342https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1342/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How does ethical leadership enhance employee work engagement? The roles of trust in leader and harmonious work passionhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1343/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestEmployee work engagement has become a major concern for managers as hardly 21% of employees are engaged in their work. Therefore, this study aims to unveil the association between ethical leadership and employee engagement. Specifically, the study explores the mediating role of trust in leader between ethical leadership and employee work engagement and moderating role of harmonious work passion in the association between trust in leader and employee work engagement. This study collected data from 491 employees and their immediate supervisors working in various organizations (in Pakistan) through “Google Forms”. The data were analyzed through analysis of moment structure (AMOS) and structural equation modeling (SEM) was applied to examine measurement model (for unidimensionality) and structural model (for hypotheses testing). The study noted that ethical leaders positively influence their subordinates to engage in their work. In addition, employees' trust in leader was noted to mediate the association between ethical leadership and employee work engagement. Finally, employees high in harmonious work passion are more likely to engage in their work when perceived their leaders ethical style. The study suggests to management that fair dealing and involvement in decision-making (ethical leadership) improve employee work engagement as such practices build employees' level of trust in their leaders. In addition, management is suggested to give freedom to employees while selecting their tasks as it positively contributes to their harmonious work passion which ultimately benefits the organization. Drawing upon social exchange and self-determination theory, this study is the first of its kind that explored the moderating role of harmonious work passion and mediating role of trust in leader between ethical leadership and employee work engagement.How does ethical leadership enhance employee work engagement? The roles of trust in leader and harmonious work passion
Talat Islam, Areela Khatoon, Amna Umer Cheema, Yasir Ashraf
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Employee work engagement has become a major concern for managers as hardly 21% of employees are engaged in their work. Therefore, this study aims to unveil the association between ethical leadership and employee engagement. Specifically, the study explores the mediating role of trust in leader between ethical leadership and employee work engagement and moderating role of harmonious work passion in the association between trust in leader and employee work engagement.

This study collected data from 491 employees and their immediate supervisors working in various organizations (in Pakistan) through “Google Forms”. The data were analyzed through analysis of moment structure (AMOS) and structural equation modeling (SEM) was applied to examine measurement model (for unidimensionality) and structural model (for hypotheses testing).

The study noted that ethical leaders positively influence their subordinates to engage in their work. In addition, employees' trust in leader was noted to mediate the association between ethical leadership and employee work engagement. Finally, employees high in harmonious work passion are more likely to engage in their work when perceived their leaders ethical style.

The study suggests to management that fair dealing and involvement in decision-making (ethical leadership) improve employee work engagement as such practices build employees' level of trust in their leaders. In addition, management is suggested to give freedom to employees while selecting their tasks as it positively contributes to their harmonious work passion which ultimately benefits the organization.

Drawing upon social exchange and self-determination theory, this study is the first of its kind that explored the moderating role of harmonious work passion and mediating role of trust in leader between ethical leadership and employee work engagement.

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How does ethical leadership enhance employee work engagement? The roles of trust in leader and harmonious work passion10.1108/K-09-2022-1343Kybernetes2023-02-28© 2023 Emerald Publishing LimitedTalat IslamAreela KhatoonAmna Umer CheemaYasir AshrafKybernetesahead-of-printahead-of-print2023-02-2810.1108/K-09-2022-1343https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1343/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Risk response decisions for projects in project portfolios considering objective adjustments and project interdependencieshttps://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1344/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestRisk response decisions (RRDs) are vital for project risk mitigation. Although past research has focused on RRDs for independent single projects, it has scarcely explored how to make RRDs for single projects in project portfolios (SPPPs). Consequently, this study aims to bridge the gap in extant literature by developing an integrated approach to select risk response strategies (RRSs) for SPPPs considering objective adjustments and project interdependencies (PIs). An integrated quality function deployment (QFD) method was used throughout this study. More so, a balanced score card (BSC) and stratified-Z-numbers-full consistency method (SZFUCOM) was applied to identify SPPP success criteria (SP3SC) to determine their weights. In addition, a spherical fuzzy set-design structure matrix (SFDSM) was used to quantify the correlation between the risks and the relationship between the risks and the predecessor projects. Consequently, the relationships between the risks and SP3SC and RRSs were described by the spherical fuzzy set (SFS) and Z-numbers, respectively. Besides, the results are weaved into QFD to transform SP3SC into risks and then into RRSs, while a linear optimization model is used to obtain the optimal RRSs. Lastly, a construction project portfolio (PP) was used to test the veracity of the results to prove their validity. The approach to RRDs for single projects is observed to be different from that of SPPPs. In addition, this study finds that project portfolio objective adjustments (PPOAs) and PIs have significant impacts on RRDs given that they influence the risk priorities of independent single projects and SPPPs. Moreover, the application of an integrated QFD effectively synthesized the results from the findings of this study, as well as enabled companies to determine robust RRSs. Finally, the consistency results of the SZFUCOM were better than those of the triangular fuzzy number-full consistency method. The study innovatively explores the method of RRDs for SPPP, which has been ignored by past research. SP3SC highly compatible with PP success is determined. Z-numbers are first used to evaluate the effect of RRSs to enhance the robustness of RRDs. The study proposes a method of RRDs comprehensively considering PPOAs and PIs, which provides robust methodological guidance for SPPP managers to control risks.Risk response decisions for projects in project portfolios considering objective adjustments and project interdependencies
Xu Zhang, Mark Goh, Sijun Bai, Zonghan Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Risk response decisions (RRDs) are vital for project risk mitigation. Although past research has focused on RRDs for independent single projects, it has scarcely explored how to make RRDs for single projects in project portfolios (SPPPs). Consequently, this study aims to bridge the gap in extant literature by developing an integrated approach to select risk response strategies (RRSs) for SPPPs considering objective adjustments and project interdependencies (PIs).

An integrated quality function deployment (QFD) method was used throughout this study. More so, a balanced score card (BSC) and stratified-Z-numbers-full consistency method (SZFUCOM) was applied to identify SPPP success criteria (SP3SC) to determine their weights. In addition, a spherical fuzzy set-design structure matrix (SFDSM) was used to quantify the correlation between the risks and the relationship between the risks and the predecessor projects. Consequently, the relationships between the risks and SP3SC and RRSs were described by the spherical fuzzy set (SFS) and Z-numbers, respectively. Besides, the results are weaved into QFD to transform SP3SC into risks and then into RRSs, while a linear optimization model is used to obtain the optimal RRSs. Lastly, a construction project portfolio (PP) was used to test the veracity of the results to prove their validity.

The approach to RRDs for single projects is observed to be different from that of SPPPs. In addition, this study finds that project portfolio objective adjustments (PPOAs) and PIs have significant impacts on RRDs given that they influence the risk priorities of independent single projects and SPPPs. Moreover, the application of an integrated QFD effectively synthesized the results from the findings of this study, as well as enabled companies to determine robust RRSs. Finally, the consistency results of the SZFUCOM were better than those of the triangular fuzzy number-full consistency method.

The study innovatively explores the method of RRDs for SPPP, which has been ignored by past research. SP3SC highly compatible with PP success is determined. Z-numbers are first used to evaluate the effect of RRSs to enhance the robustness of RRDs. The study proposes a method of RRDs comprehensively considering PPOAs and PIs, which provides robust methodological guidance for SPPP managers to control risks.

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Risk response decisions for projects in project portfolios considering objective adjustments and project interdependencies10.1108/K-09-2022-1344Kybernetes2023-03-20© 2023 Emerald Publishing LimitedXu ZhangMark GohSijun BaiZonghan WangKybernetesahead-of-printahead-of-print2023-03-2010.1108/K-09-2022-1344https://www.emerald.com/insight/content/doi/10.1108/K-09-2022-1344/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Factors of tacit knowledge acquisition and its mechanism of action on academic research performance: an empirical research from Chinese universitieshttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1650/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study examines the relationship between higher education improvement and tacit knowledge importance. In this context, the scarcity of empirical and theoretical studies on acquiring tacit knowledge to enhance academic performance in higher education suggests that this research area holds significant importance for experts and policymakers. Consequently, this study aims to explore the factors that influence academic research performance at Chinese universities by acquiring tacit knowledge. To achieve the study aims, the current approach utilizes the research technique based on the socialization, externalization, internalization and combination (SECI) model and knowledge management (KM) theory. To analyze the study objective, the authors collected data from post-graduate students at Chinese universities and analyzed it using structural equation modeling (SEM) to test the model and hypotheses. The results indicated that social interaction, internalization and self-motivation have a positive impact on academic research performance through the acquisition of tacit knowledge. Furthermore, the findings suggest that academic researchers can acquire more knowledge through social interaction than self-motivation, thereby advancing research progress. This study addresses the critical issues surrounding the acquisition of tacit knowledge and presents a comprehensive framework and achievements that can contribute to achieving exceptional academic performance.Factors of tacit knowledge acquisition and its mechanism of action on academic research performance: an empirical research from Chinese universities
Jianhua Zhang, Jiake Li, Sajjad Alam, Fredrick Ahenkora Boamah, Dandan Wen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study examines the relationship between higher education improvement and tacit knowledge importance. In this context, the scarcity of empirical and theoretical studies on acquiring tacit knowledge to enhance academic performance in higher education suggests that this research area holds significant importance for experts and policymakers. Consequently, this study aims to explore the factors that influence academic research performance at Chinese universities by acquiring tacit knowledge.

To achieve the study aims, the current approach utilizes the research technique based on the socialization, externalization, internalization and combination (SECI) model and knowledge management (KM) theory. To analyze the study objective, the authors collected data from post-graduate students at Chinese universities and analyzed it using structural equation modeling (SEM) to test the model and hypotheses.

The results indicated that social interaction, internalization and self-motivation have a positive impact on academic research performance through the acquisition of tacit knowledge. Furthermore, the findings suggest that academic researchers can acquire more knowledge through social interaction than self-motivation, thereby advancing research progress.

This study addresses the critical issues surrounding the acquisition of tacit knowledge and presents a comprehensive framework and achievements that can contribute to achieving exceptional academic performance.

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Factors of tacit knowledge acquisition and its mechanism of action on academic research performance: an empirical research from Chinese universities10.1108/K-09-2023-1650Kybernetes2024-03-04© 2024 Emerald Publishing LimitedJianhua ZhangJiake LiSajjad AlamFredrick Ahenkora BoamahDandan WenKybernetesahead-of-printahead-of-print2024-03-0410.1108/K-09-2023-1650https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1650/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The predictive robustness of organizational and technological enablers towards blockchain technology adoption and financial performancehttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1655/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestBlockchain technology has brought about significant transformation among organizations worldwide. This study aimed to explore the effects of organizational and technological factors on blockchain technology adoption (BTA) and financial performance (FP) in Pakistan. This is a co-relational study which used the cross-sectional data. We gathered the data from the managers of Pakistan’s small and medium-sized enterprises (SMEs), which functioned their industries with blockchain technology. We applied convenience sampling to identify the respondents. Finally, we based this study’s findings on 274 valid cases. We used structural equation modeling (SEM) in this study, to exert a positive and significant impact on organizational factors such as organizational innovativeness (OI), organizational learning capability (OLC), top management support (TMS) and organizational work climate (OWC) on BTA. In addition, the technological factors, such as complexity (CTY), technology readiness (TR), compatibility (CBTY) and technology capability (TC), have a positive and significant effect on BTA. Finally, this study’s findings show that BTA positively and significantly impacts FP. This study’s findings will help policymakers and planners to design policies to adopt other blockchain technologies to improve SMEs’ operations. Moreover, this study’s findings will inspire policymakers and planners to actively seek new ideas, knowledge and skills through acquiring new knowledge to assist with their IT-related decisions. This study empirically confirms the role of organizational and technology factors toward BTA and FP among Pakistan's SME managers.The predictive robustness of organizational and technological enablers towards blockchain technology adoption and financial performance
Nadia A. Abdelmegeed Abdelwahed, Mohammed A. Al Doghan, Ummi Naiemah Saraih, Bahadur Ali Soomro
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Blockchain technology has brought about significant transformation among organizations worldwide. This study aimed to explore the effects of organizational and technological factors on blockchain technology adoption (BTA) and financial performance (FP) in Pakistan.

This is a co-relational study which used the cross-sectional data. We gathered the data from the managers of Pakistan’s small and medium-sized enterprises (SMEs), which functioned their industries with blockchain technology. We applied convenience sampling to identify the respondents. Finally, we based this study’s findings on 274 valid cases.

We used structural equation modeling (SEM) in this study, to exert a positive and significant impact on organizational factors such as organizational innovativeness (OI), organizational learning capability (OLC), top management support (TMS) and organizational work climate (OWC) on BTA. In addition, the technological factors, such as complexity (CTY), technology readiness (TR), compatibility (CBTY) and technology capability (TC), have a positive and significant effect on BTA. Finally, this study’s findings show that BTA positively and significantly impacts FP.

This study’s findings will help policymakers and planners to design policies to adopt other blockchain technologies to improve SMEs’ operations. Moreover, this study’s findings will inspire policymakers and planners to actively seek new ideas, knowledge and skills through acquiring new knowledge to assist with their IT-related decisions.

This study empirically confirms the role of organizational and technology factors toward BTA and FP among Pakistan's SME managers.

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The predictive robustness of organizational and technological enablers towards blockchain technology adoption and financial performance10.1108/K-09-2023-1655Kybernetes2024-02-20© 2024 Emerald Publishing LimitedNadia A. Abdelmegeed AbdelwahedMohammed A. Al DoghanUmmi Naiemah SaraihBahadur Ali SoomroKybernetesahead-of-printahead-of-print2024-02-2010.1108/K-09-2023-1655https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1655/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Artificial intelligence: threat or asset to academic integrity? A bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1666/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community. This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity. With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity. This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies. This study proposes a new, innovative framework summarising the balance between AI and academic integrity.Artificial intelligence: threat or asset to academic integrity? A bibliometric analysis
Margarida Rodrigues, Rui Silva, Ana Pinto Borges, Mário Franco, Cidália Oliveira
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

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Artificial intelligence: threat or asset to academic integrity? A bibliometric analysis10.1108/K-09-2023-1666Kybernetes2024-01-29© 2024 Emerald Publishing LimitedMargarida RodriguesRui SilvaAna Pinto BorgesMário FrancoCidália OliveiraKybernetesahead-of-printahead-of-print2024-01-2910.1108/K-09-2023-1666https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1666/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Examining interdependencies among solution dimensions for sustainable development in SMEs based on Industry 4.0 concepthttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1674/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the context of promoting sustainable development in SMEs, the present study aims to investigate the relationship among solution dimensions based on the Industry 4.0 (I4.0) concept. The study employs a comprehensive methodology that includes a systematic literature review, workshop, grounded theory and interpretive structural modeling. Various dimensions concerning I4.0 sustainability are tested and evaluated using a questionnaire design followed by hypothesis formulation. Further, grounded theory is used to extract the key solution dimensions that capture the essence of I4.0 implementation in SMEs. Finally, the solution dimensions for I4.0 sustainability are modeled using the ISM approach to understand the structural interdependencies among them, and Matrice d'Impacts Croisés Multiplication Applied to a Classification (MICMAC) analysis is done to understand the driving and dependence power among these dimensions. The study identified 14 solution dimensions for the implementation of I4.0 in SMEs for sustainable development. Out of the 14 solution dimensions, human resource training programs (D4) appear at level 11, followed by top management commitment (D1), strategic collaborations (D3) and coordination among key stakeholders (D5) at level 2 in the hierarchical interpretive structural modeling (ISM) model. Also, these dimensions have an effect size of more than 0.50 which indicates a substantial correlation between the sustainability dimensions and Industry 4.0 implementation in SMEs. The study contributes to the overall goal of fostering sustainability within the SME sector, which can pave the way for various stakeholders for the successful implementation of I4.0 sustainable solution dimensions.Examining interdependencies among solution dimensions for sustainable development in SMEs based on Industry 4.0 concept
Love Kumar, Rajiv Kumar Sharma
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the context of promoting sustainable development in SMEs, the present study aims to investigate the relationship among solution dimensions based on the Industry 4.0 (I4.0) concept.

The study employs a comprehensive methodology that includes a systematic literature review, workshop, grounded theory and interpretive structural modeling. Various dimensions concerning I4.0 sustainability are tested and evaluated using a questionnaire design followed by hypothesis formulation. Further, grounded theory is used to extract the key solution dimensions that capture the essence of I4.0 implementation in SMEs. Finally, the solution dimensions for I4.0 sustainability are modeled using the ISM approach to understand the structural interdependencies among them, and Matrice d'Impacts Croisés Multiplication Applied to a Classification (MICMAC) analysis is done to understand the driving and dependence power among these dimensions.

The study identified 14 solution dimensions for the implementation of I4.0 in SMEs for sustainable development. Out of the 14 solution dimensions, human resource training programs (D4) appear at level 11, followed by top management commitment (D1), strategic collaborations (D3) and coordination among key stakeholders (D5) at level 2 in the hierarchical interpretive structural modeling (ISM) model. Also, these dimensions have an effect size of more than 0.50 which indicates a substantial correlation between the sustainability dimensions and Industry 4.0 implementation in SMEs.

The study contributes to the overall goal of fostering sustainability within the SME sector, which can pave the way for various stakeholders for the successful implementation of I4.0 sustainable solution dimensions.

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Examining interdependencies among solution dimensions for sustainable development in SMEs based on Industry 4.0 concept10.1108/K-09-2023-1674Kybernetes2024-01-09© 2023 Emerald Publishing LimitedLove KumarRajiv Kumar SharmaKybernetesahead-of-printahead-of-print2024-01-0910.1108/K-09-2023-1674https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1674/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Role of Industry 4.0 tools in organizational performance of the IT sectorhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1697/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the contemporary period, numerous businesses undergo significant adjustments, such as evaluating critical components of the corporate operations and relying on technology to keep operations running while conforming to an ever-changing set of norms and new tactics. The present study aims to (1) explore the relationship between Industry 4.0 (I4.0) tools and their impact on organizational performance and (2) find evidence supporting the moderating role of remote working and organizational agility (OA) in enhancing organizational performance. The study employed the quantitative research method, and the data were collected from individuals working in different Asian IT firms using the previously established questionnaire. The data were examined using SPSS v22. Different statistical tests have been performed to find the relationship among constructs. This study uncovers that I4.0 tools impact organizational performance, especially in the IT sector, with a particular emphasis on the moderating influence of remote work and OA. I4.0 tools encompass pivotal components such as artificial intelligence (AI), big data (BD), cloud computing (CC) and Internet of Things (IoT) indeed augment organizational performance. It can be referenced that I4.0 tools play the role of a driving force that equips organizations with the knowledge to augment their performance. Companies should encourage remote work and use I4.0 technology to support and manage it. Enabling people to work from any location, lowering the requirement for physical infrastructure and enabling a more flexible and responsive organizational structure can increase OA. In conclusion, firms in Asia may increase the performance and agility using I4.0 technology. Organizations may innovate by putting money into these technologies, encouraging remote work and creating an innovative culture. In this dynamic and technologically advanced environment, every industry is forced to look for latest tools, i.e. I4.0, tools to augment the performance. It has been concluded that I4.0 tools are “better practices” for boosting organizational performance; hence, the findings benefit firms working in the IT sector. The verdicts of this research can assist organizations in making decisions regarding the implementation of I4.0 tools. To the best of the authors' knowledge, no specific study could be found in which the relationship among these constructs had been investigated earlier in the IT sector. This research work acts as value addition to the literature as it illustrates technological advancements may increase organizational performance, especially in Asia. This research work adds to the body of knowledge by amplifying the effect of latest technologies on organizational performance, via remote work and OA.Role of Industry 4.0 tools in organizational performance of the IT sector
Abeera Islam, Afshan Naseem
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the contemporary period, numerous businesses undergo significant adjustments, such as evaluating critical components of the corporate operations and relying on technology to keep operations running while conforming to an ever-changing set of norms and new tactics. The present study aims to (1) explore the relationship between Industry 4.0 (I4.0) tools and their impact on organizational performance and (2) find evidence supporting the moderating role of remote working and organizational agility (OA) in enhancing organizational performance.

The study employed the quantitative research method, and the data were collected from individuals working in different Asian IT firms using the previously established questionnaire. The data were examined using SPSS v22. Different statistical tests have been performed to find the relationship among constructs.

This study uncovers that I4.0 tools impact organizational performance, especially in the IT sector, with a particular emphasis on the moderating influence of remote work and OA. I4.0 tools encompass pivotal components such as artificial intelligence (AI), big data (BD), cloud computing (CC) and Internet of Things (IoT) indeed augment organizational performance. It can be referenced that I4.0 tools play the role of a driving force that equips organizations with the knowledge to augment their performance.

Companies should encourage remote work and use I4.0 technology to support and manage it. Enabling people to work from any location, lowering the requirement for physical infrastructure and enabling a more flexible and responsive organizational structure can increase OA. In conclusion, firms in Asia may increase the performance and agility using I4.0 technology. Organizations may innovate by putting money into these technologies, encouraging remote work and creating an innovative culture.

In this dynamic and technologically advanced environment, every industry is forced to look for latest tools, i.e. I4.0, tools to augment the performance. It has been concluded that I4.0 tools are “better practices” for boosting organizational performance; hence, the findings benefit firms working in the IT sector. The verdicts of this research can assist organizations in making decisions regarding the implementation of I4.0 tools.

To the best of the authors' knowledge, no specific study could be found in which the relationship among these constructs had been investigated earlier in the IT sector. This research work acts as value addition to the literature as it illustrates technological advancements may increase organizational performance, especially in Asia. This research work adds to the body of knowledge by amplifying the effect of latest technologies on organizational performance, via remote work and OA.

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Role of Industry 4.0 tools in organizational performance of the IT sector10.1108/K-09-2023-1697Kybernetes2023-12-13© 2023 Emerald Publishing LimitedAbeera IslamAfshan NaseemKybernetesahead-of-printahead-of-print2023-12-1310.1108/K-09-2023-1697https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1697/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Students' help-seeking mediates the relationship between happiness and self-strength: a comparative study on Chinese and Pakistani adolescentshttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1706/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestPositive psychology helps us understand the knowledge required to contribute to adolescents' societal development and adjustability. Adolescence is the crucial stage to work on for a balanced personality. The present study concerned adolescents' self-strength, happiness, and help-seeking behaviour. The authors aimed to explore the relationship between adolescents' self-strength and happiness and investigate the mediational effect of adolescents' help-seeking behaviour on their self-strength and happiness. The research design of the current quantitative study was correlational, and 809 adolescents from China and Pakistan participated in the present study. Data were personally collected from participants through self-developed scales. We deployed Pearson correlation and simple mediation using SPSS software and found a linear, positive, strong (r = 0.654, n = 809, p = 0.000 < 0.01) and statistically significant correlation between adolescents' self-strength and happiness. The authors also found a significant indirect effect of help-seeking on adolescents' self-strength and happiness at (β = 0.373, t(907) = 7.01). Using self-reported scales to gather information was one of the study's limitations. Adolescents may have misunderstood the notion or construct narrated in words or responded biasedly despite the bilingual scales. This study offers social and practical implications for educators, parents, and school administrators to address the development of adolescents' personalities using a positive psychology lens. The findings are of significant importance for teachers working in the elementary schools. They may work on adolescents' self-strength, happiness, and help-seeking to develop balanced personalities.Students' help-seeking mediates the relationship between happiness and self-strength: a comparative study on Chinese and Pakistani adolescents
Umaira Tabassum, Xing Qiang, Jaffar Abbas, Amjad Islam Amjad, Khalid Ibrahim Al-Sulaiti
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Positive psychology helps us understand the knowledge required to contribute to adolescents' societal development and adjustability. Adolescence is the crucial stage to work on for a balanced personality. The present study concerned adolescents' self-strength, happiness, and help-seeking behaviour. The authors aimed to explore the relationship between adolescents' self-strength and happiness and investigate the mediational effect of adolescents' help-seeking behaviour on their self-strength and happiness.

The research design of the current quantitative study was correlational, and 809 adolescents from China and Pakistan participated in the present study. Data were personally collected from participants through self-developed scales.

We deployed Pearson correlation and simple mediation using SPSS software and found a linear, positive, strong (r = 0.654, n = 809, p = 0.000 < 0.01) and statistically significant correlation between adolescents' self-strength and happiness. The authors also found a significant indirect effect of help-seeking on adolescents' self-strength and happiness at (β = 0.373, t(907) = 7.01).

Using self-reported scales to gather information was one of the study's limitations. Adolescents may have misunderstood the notion or construct narrated in words or responded biasedly despite the bilingual scales.

This study offers social and practical implications for educators, parents, and school administrators to address the development of adolescents' personalities using a positive psychology lens.

The findings are of significant importance for teachers working in the elementary schools. They may work on adolescents' self-strength, happiness, and help-seeking to develop balanced personalities.

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Students' help-seeking mediates the relationship between happiness and self-strength: a comparative study on Chinese and Pakistani adolescents10.1108/K-09-2023-1706Kybernetes2024-03-26© 2024 Emerald Publishing LimitedUmaira TabassumXing QiangJaffar AbbasAmjad Islam AmjadKhalid Ibrahim Al-SulaitiKybernetesahead-of-printahead-of-print2024-03-2610.1108/K-09-2023-1706https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1706/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Agricultural price forecasting based on the spatial and temporal influences factors under spillover effectshttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1724/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIntegrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary data. However, traditional models have limitations in testing the spatial transmission relationship in time series, and the actual prediction effect is restricted by the inability to obtain the prices of other variable factors in the future. To explore the impact of spatiotemporal factors on agricultural prices and achieve the best prediction effect, the authors innovatively propose a price prediction method for China's soybean and palm oil futures prices. First, an improved Granger Causality Test was adopted to explore the spatial transmission relationship in the data; second, the Seasonal and Trend decomposition using Loess model (STL) was employed to decompose the price; then, the Apriori algorithm was applied to test the time spillover effect between data, and CRITIC was used to extract essential features; finally, the N-Beats model was selected as the prediction model for futures prices. Using the Apriori and STL algorithms, the authors found a spillover effect in agricultural prices, and past trends and seasonal data will impact future prices. Using the improved Granger causality test method to analyze the unidirectional causality relationship between the prices, the authors obtained a spatial effect among the agricultural product prices. By comparison, the N-Beats model based on the spatiotemporal factors shows excellent prediction effects on different prices. This paper addressed the problem that traditional models can only predict the current prices of different agricultural products on the same date, and traditional spatial models cannot test the characteristics of time series. This result is beneficial to the sustainable development of agriculture and provides necessary numerical and technical support to ensure national agricultural security.Agricultural price forecasting based on the spatial and temporal influences factors under spillover effects
Dezhao Tang, Qiqi Cai, Tiandan Nie, Yuanyuan Zhang, Jinghua Wu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Integrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary data. However, traditional models have limitations in testing the spatial transmission relationship in time series, and the actual prediction effect is restricted by the inability to obtain the prices of other variable factors in the future.

To explore the impact of spatiotemporal factors on agricultural prices and achieve the best prediction effect, the authors innovatively propose a price prediction method for China's soybean and palm oil futures prices. First, an improved Granger Causality Test was adopted to explore the spatial transmission relationship in the data; second, the Seasonal and Trend decomposition using Loess model (STL) was employed to decompose the price; then, the Apriori algorithm was applied to test the time spillover effect between data, and CRITIC was used to extract essential features; finally, the N-Beats model was selected as the prediction model for futures prices.

Using the Apriori and STL algorithms, the authors found a spillover effect in agricultural prices, and past trends and seasonal data will impact future prices. Using the improved Granger causality test method to analyze the unidirectional causality relationship between the prices, the authors obtained a spatial effect among the agricultural product prices. By comparison, the N-Beats model based on the spatiotemporal factors shows excellent prediction effects on different prices.

This paper addressed the problem that traditional models can only predict the current prices of different agricultural products on the same date, and traditional spatial models cannot test the characteristics of time series. This result is beneficial to the sustainable development of agriculture and provides necessary numerical and technical support to ensure national agricultural security.

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Agricultural price forecasting based on the spatial and temporal influences factors under spillover effects10.1108/K-09-2023-1724Kybernetes2023-12-05© 2023 Emerald Publishing LimitedDezhao TangQiqi CaiTiandan NieYuanyuan ZhangJinghua WuKybernetesahead-of-printahead-of-print2023-12-0510.1108/K-09-2023-1724https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1724/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Fluctuation and forecasting of gold prices in Saudi Arabia’s markethttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1725/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to analyze the fluctuations in gold prices within the Saudi Arabian market and to develop a reliable forecasting model to aid market participants and policymakers in making informed decisions. In this study, we employ a rigorous time series analysis methodology, including the ARIMA (Auto Regressive Integrated Moving Average) model, to analyze historical gold price data in the Saudi Arabian market. The approach involves identifying optimal model parameters and assessing forecast accuracy to provide actionable insights for market participants. The study showcases that the autoregressive properties of past gold prices play a pivotal role in capturing the inherent serial correlation within the market, enabling the ARIMA model to effectively forecast future gold price movements with accuracy. Our study primarily focuses on quantitative analysis, whereas few qualitative parameters are not included. Future studies may benefit from incorporating qualitative factors and expert opinions to enhance the robustness of gold price predictions and capture the full spectrum of market dynamics. Participants and policymakers may find this study helpful in navigating the complicated Saudi Arabian gold market. By understanding financial stability and investment decisions more thoroughly, individuals and institutions may be able to manage their portfolios more effectively. By combining historical insights with advanced ARIMA modeling techniques, this research provides valuable insight into gold price dynamics in the Saudi Arabian market.Fluctuation and forecasting of gold prices in Saudi Arabia’s market
Ruby Khan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to analyze the fluctuations in gold prices within the Saudi Arabian market and to develop a reliable forecasting model to aid market participants and policymakers in making informed decisions.

In this study, we employ a rigorous time series analysis methodology, including the ARIMA (Auto Regressive Integrated Moving Average) model, to analyze historical gold price data in the Saudi Arabian market. The approach involves identifying optimal model parameters and assessing forecast accuracy to provide actionable insights for market participants.

The study showcases that the autoregressive properties of past gold prices play a pivotal role in capturing the inherent serial correlation within the market, enabling the ARIMA model to effectively forecast future gold price movements with accuracy.

Our study primarily focuses on quantitative analysis, whereas few qualitative parameters are not included. Future studies may benefit from incorporating qualitative factors and expert opinions to enhance the robustness of gold price predictions and capture the full spectrum of market dynamics.

Participants and policymakers may find this study helpful in navigating the complicated Saudi Arabian gold market. By understanding financial stability and investment decisions more thoroughly, individuals and institutions may be able to manage their portfolios more effectively.

By combining historical insights with advanced ARIMA modeling techniques, this research provides valuable insight into gold price dynamics in the Saudi Arabian market.

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Fluctuation and forecasting of gold prices in Saudi Arabia’s market10.1108/K-09-2023-1725Kybernetes2024-02-22© 2024 Emerald Publishing LimitedRuby KhanKybernetesahead-of-printahead-of-print2024-02-2210.1108/K-09-2023-1725https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1725/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Autonomous vehicles and consumer acceptance: a bibliometric analysis perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1734/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestRecently, autonomous vehicles (AV) acceptance has been studied intensively. This paper aims to map and analyze the bibliometric characteristics of AV acceptance literature. Furthermore, this research aims to identify research gaps and propose future research opportunities. The bibliometric analysis was performed. Scopus database was used as the source of the literature. This study selected and analyzed 297 AV acceptance papers. The performance and science mapping analysis were performed. The developed countries tended to dominate the topic. The publication outlet tended to be in transportation or technology journals. There were four research themes in existing literature. Technology acceptance model (TAM) and UTAUT2 tended to be used for explaining AV acceptance. AV acceptance studies tended to use two types of psychological concepts for understanding AV acceptance, namely risk related concepts and functional utilitarian benefit related concepts. In the context of research design, quantitative approach tended to be used. Self-driving feature was the most exploited feature of AV in the existing literature. Three research gaps were mapped and future research opportunities were proposed. This paper provided a comprehensive information that allowed scientists to develop future research on AV acceptance. There is lack of paper that discussed the bibliometric characteristics of AV acceptance literature. This paper fulfilled the gap.Autonomous vehicles and consumer acceptance: a bibliometric analysis perspective
I Gede Mahatma Yuda Bakti, Sik Sumaedi, Medi Yarmen, Marlina Pandin, Aris Yaman, Rahmi Kartika Jati, Mauludin Hidayat
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Recently, autonomous vehicles (AV) acceptance has been studied intensively. This paper aims to map and analyze the bibliometric characteristics of AV acceptance literature. Furthermore, this research aims to identify research gaps and propose future research opportunities.

The bibliometric analysis was performed. Scopus database was used as the source of the literature. This study selected and analyzed 297 AV acceptance papers. The performance and science mapping analysis were performed.

The developed countries tended to dominate the topic. The publication outlet tended to be in transportation or technology journals. There were four research themes in existing literature. Technology acceptance model (TAM) and UTAUT2 tended to be used for explaining AV acceptance. AV acceptance studies tended to use two types of psychological concepts for understanding AV acceptance, namely risk related concepts and functional utilitarian benefit related concepts. In the context of research design, quantitative approach tended to be used. Self-driving feature was the most exploited feature of AV in the existing literature. Three research gaps were mapped and future research opportunities were proposed.

This paper provided a comprehensive information that allowed scientists to develop future research on AV acceptance.

There is lack of paper that discussed the bibliometric characteristics of AV acceptance literature. This paper fulfilled the gap.

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Autonomous vehicles and consumer acceptance: a bibliometric analysis perspective10.1108/K-09-2023-1734Kybernetes2024-02-20© 2024 Emerald Publishing LimitedI Gede Mahatma Yuda BaktiSik SumaediMedi YarmenMarlina PandinAris YamanRahmi Kartika JatiMauludin HidayatKybernetesahead-of-printahead-of-print2024-02-2010.1108/K-09-2023-1734https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1734/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Relational neurostrategyhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1740/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestNeurostrategy is an abductive decision-making process developed from the knowledge generated within the network of decision-makers. It links cognitive style with the team's decisional adaptability in relation to the organization's purpose. Neurostrategy differs from traditional methods, in which it addresses negative utility or decisional trauma, highlighting the variety of interests that are the main cause of team misalignment and allowing for the development of strategies to address them. Neurostrategy enables the classification of strategy deficiencies based on cohesion, coordination, communication and conduction (Co4). This paper introduces a novel approach called relational neurostrategy (RNS) to elucidate the knowledge processes influencing decision-making. RNS aims to “capture” the intricate processes guiding decisions, enabling the network's decisional plasticity in both forms and contents. This adaptability is crucial for effectively addressing posed challenges, while simultaneously mitigating the impact of diverse interests. The methodology also ensures transparency in the decision-making process and generates an effective solution strategy. The RNS addresses two critical aspects of the decision-making process. Firstly, it reduces unnecessary variety stemming from multiple interpretations and secondly, it minimizes the adverse impact of diverse interests within the decision-making network. This approach results in strong and credible decisions that reflect the collective intelligence, cooperation and collaborative efforts of the network, rather than being imposed as absolute truths. The RNS stands out as a distinctive decision-making method, setting itself apart from existing approaches. Its uniqueness becomes evident in its ability to address the question “what prevents the authors from … ?” from this inquiry, RNS successfully integrates unrequired variety and negative utility. By doing so, it strategically narrows down the search field to the universe of distinctions that truly constitute the problem. This innovative process not only enhances efficiency but also fosters a high level of participation in the strategic design of potential solutions. In essence, RNS brings unprecedented value by effectively navigating the intricacies of decision-making and maximizing the relevance of the identified problem space.Relational neurostrategy
Leonardo Lavanderos, Eduardo Fiol, Sergio Gonzalez, Alejandro Malpartida
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Neurostrategy is an abductive decision-making process developed from the knowledge generated within the network of decision-makers. It links cognitive style with the team's decisional adaptability in relation to the organization's purpose. Neurostrategy differs from traditional methods, in which it addresses negative utility or decisional trauma, highlighting the variety of interests that are the main cause of team misalignment and allowing for the development of strategies to address them. Neurostrategy enables the classification of strategy deficiencies based on cohesion, coordination, communication and conduction (Co4).

This paper introduces a novel approach called relational neurostrategy (RNS) to elucidate the knowledge processes influencing decision-making. RNS aims to “capture” the intricate processes guiding decisions, enabling the network's decisional plasticity in both forms and contents. This adaptability is crucial for effectively addressing posed challenges, while simultaneously mitigating the impact of diverse interests. The methodology also ensures transparency in the decision-making process and generates an effective solution strategy.

The RNS addresses two critical aspects of the decision-making process. Firstly, it reduces unnecessary variety stemming from multiple interpretations and secondly, it minimizes the adverse impact of diverse interests within the decision-making network. This approach results in strong and credible decisions that reflect the collective intelligence, cooperation and collaborative efforts of the network, rather than being imposed as absolute truths.

The RNS stands out as a distinctive decision-making method, setting itself apart from existing approaches. Its uniqueness becomes evident in its ability to address the question “what prevents the authors from … ?” from this inquiry, RNS successfully integrates unrequired variety and negative utility. By doing so, it strategically narrows down the search field to the universe of distinctions that truly constitute the problem. This innovative process not only enhances efficiency but also fosters a high level of participation in the strategic design of potential solutions. In essence, RNS brings unprecedented value by effectively navigating the intricacies of decision-making and maximizing the relevance of the identified problem space.

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Relational neurostrategy10.1108/K-09-2023-1740Kybernetes2023-12-26© 2023 Emerald Publishing LimitedLeonardo LavanderosEduardo FiolSergio GonzalezAlejandro MalpartidaKybernetesahead-of-printahead-of-print2023-12-2610.1108/K-09-2023-1740https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1740/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Online bubbles and echo chambers as social systemshttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1742/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe aim of the text is to reflect on the formation of the so-called digital echo chambers or filter bubbles, which are environments formed around particular topics whose objective is to promote a given political-ideological position. The argument the author puts forward is that echo chambers are social systems of interaction created to deal with the process of informational overload brought about by the consolidation of digital media in people’s daily lives. The author used Niklas Luhmann’s theory of social systems to explain what the author is calling social systems of interaction. Furthermore, the author made clarifications about: (1) the current debate regarding echo chambers; (2) what is the concept of “information” that the author is using to formulate the proposition and (3) what is the specificity that digital media bring when the author talks about informational overload and about the formation of echo chambers. The author concluded that echo chambers can be seen as digital interaction systems, but the concept of “interaction” must be adapted. The author also concluded that echo chambers help society to deal with the phenomenon of informational overload. There are few works which try to make a detailed analysis of echo chambers from a Luhmannian perspective. With the propositions presented in this text, along with other writings of the own, the author gives an important step in that direction by introducing the topic in the social systems researchers community.Online bubbles and echo chambers as social systems
Emerson Palmieri
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The aim of the text is to reflect on the formation of the so-called digital echo chambers or filter bubbles, which are environments formed around particular topics whose objective is to promote a given political-ideological position. The argument the author puts forward is that echo chambers are social systems of interaction created to deal with the process of informational overload brought about by the consolidation of digital media in people’s daily lives.

The author used Niklas Luhmann’s theory of social systems to explain what the author is calling social systems of interaction. Furthermore, the author made clarifications about: (1) the current debate regarding echo chambers; (2) what is the concept of “information” that the author is using to formulate the proposition and (3) what is the specificity that digital media bring when the author talks about informational overload and about the formation of echo chambers.

The author concluded that echo chambers can be seen as digital interaction systems, but the concept of “interaction” must be adapted. The author also concluded that echo chambers help society to deal with the phenomenon of informational overload.

There are few works which try to make a detailed analysis of echo chambers from a Luhmannian perspective. With the propositions presented in this text, along with other writings of the own, the author gives an important step in that direction by introducing the topic in the social systems researchers community.

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Online bubbles and echo chambers as social systems10.1108/K-09-2023-1742Kybernetes2024-01-15© 2023 Emerald Publishing LimitedEmerson PalmieriKybernetesahead-of-printahead-of-print2024-01-1510.1108/K-09-2023-1742https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1742/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
QFD-based hybrid neutrosophic MCDM approach with Six Sigma evaluation for sustainable product design in Industry 4.0https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1757/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe concept of sustainable product design (SPD) is gaining significant attention in recent research. However, due to inherent uncertainties associated with new product development and incorporation of multiple qualitative and quantitative criteria; SPD is a complex and challenging task. The purpose of this paper is to introduce a novel approach by integrating quality function deployment (QFD), multi-criteria decision making (MCDM) technique and Six Sigma evaluation for facilitating SPD in the context of Industry 4.0. The customer requirements are evaluated through the neutrosophic-decision-making trial and evaluation laboratory-analytic network process (DEMATEL-ANP)-based approach followed by utilizing QFD matrix to estimate the weights of the engineering characteristics (EC). The Six Sigma method is then employed to evaluate the alternatives’ design based on the ECs’ values. The effectiveness of the suggested approach is illustrated through an example. The result indicates that utilization of the neutrosophic MCDM technique with integration of Six Sigma methodology provides a simple, effective and computationally inexpensive method for SPD. The proposed approach is helpful in upstream evaluation of the product design with limited experimental/numerical data, maintaining a strong competitive position in the market and enhancing customer satisfaction. This work provides a novel approach to objectively quantify performance of SPD under the paradigm of Industry 4.0 using the integration of QFD-based hybrid MCDM with Six Sigma method.QFD-based hybrid neutrosophic MCDM approach with Six Sigma evaluation for sustainable product design in Industry 4.0
Anwesa Kar, Rajiv Nandan Rai
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The concept of sustainable product design (SPD) is gaining significant attention in recent research. However, due to inherent uncertainties associated with new product development and incorporation of multiple qualitative and quantitative criteria; SPD is a complex and challenging task. The purpose of this paper is to introduce a novel approach by integrating quality function deployment (QFD), multi-criteria decision making (MCDM) technique and Six Sigma evaluation for facilitating SPD in the context of Industry 4.0.

The customer requirements are evaluated through the neutrosophic-decision-making trial and evaluation laboratory-analytic network process (DEMATEL-ANP)-based approach followed by utilizing QFD matrix to estimate the weights of the engineering characteristics (EC). The Six Sigma method is then employed to evaluate the alternatives’ design based on the ECs’ values.

The effectiveness of the suggested approach is illustrated through an example. The result indicates that utilization of the neutrosophic MCDM technique with integration of Six Sigma methodology provides a simple, effective and computationally inexpensive method for SPD.

The proposed approach is helpful in upstream evaluation of the product design with limited experimental/numerical data, maintaining a strong competitive position in the market and enhancing customer satisfaction.

This work provides a novel approach to objectively quantify performance of SPD under the paradigm of Industry 4.0 using the integration of QFD-based hybrid MCDM with Six Sigma method.

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QFD-based hybrid neutrosophic MCDM approach with Six Sigma evaluation for sustainable product design in Industry 4.010.1108/K-09-2023-1757Kybernetes2024-02-19© 2024 Emerald Publishing LimitedAnwesa KarRajiv Nandan RaiKybernetesahead-of-printahead-of-print2024-02-1910.1108/K-09-2023-1757https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1757/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
A three-stage solution approach with a repeated-negotiation mechanism for the decentralized resource-constrained multi-project scheduling problemhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1763/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study develops a model and algorithm to solve the decentralized resource-constrained multi-project scheduling problem (DRCMPSP) and provides a suitable priority rule (PR) for coordinating global resource conflicts among multiple projects. This study addresses the DRCMPSP, which respects the information privacy requirements of project agents; that is, there is no single manager centrally in charge of generating multi-project scheduling. Accordingly, a three-stage model was proposed for the decentralized management of multiple projects. To solve this model, a three-stage solution approach with a repeated negotiation mechanism was proposed. The experimental results obtained using the Multi-Project Scheduling Problem LIBrary confirm that our approach outperforms existing methods, regardless of the average utilization factor (AUF). Comparative analysis revealed that delaying activities in the lower project makespan produces a lower average project delay. Furthermore, the new PR LMS performed better in problem subsets with AUF < 1 and large-scale subsets with AUF > 1. A solution approach with a repeated-negotiation mechanism suitable for the DRCMPSP and a new PR for coordinating global resource allocation are proposed.A three-stage solution approach with a repeated-negotiation mechanism for the decentralized resource-constrained multi-project scheduling problem
Hongri Mao, Jianbo Yuan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study develops a model and algorithm to solve the decentralized resource-constrained multi-project scheduling problem (DRCMPSP) and provides a suitable priority rule (PR) for coordinating global resource conflicts among multiple projects.

This study addresses the DRCMPSP, which respects the information privacy requirements of project agents; that is, there is no single manager centrally in charge of generating multi-project scheduling. Accordingly, a three-stage model was proposed for the decentralized management of multiple projects. To solve this model, a three-stage solution approach with a repeated negotiation mechanism was proposed.

The experimental results obtained using the Multi-Project Scheduling Problem LIBrary confirm that our approach outperforms existing methods, regardless of the average utilization factor (AUF). Comparative analysis revealed that delaying activities in the lower project makespan produces a lower average project delay. Furthermore, the new PR LMS performed better in problem subsets with AUF < 1 and large-scale subsets with AUF > 1.

A solution approach with a repeated-negotiation mechanism suitable for the DRCMPSP and a new PR for coordinating global resource allocation are proposed.

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A three-stage solution approach with a repeated-negotiation mechanism for the decentralized resource-constrained multi-project scheduling problem10.1108/K-09-2023-1763Kybernetes2024-03-08© 2024 Emerald Publishing LimitedHongri MaoJianbo YuanKybernetesahead-of-printahead-of-print2024-03-0810.1108/K-09-2023-1763https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1763/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Study on the characteristics and synergistic effects of industrial complex networks – empirical evidence from Chinese manufacturing https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1771/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial network topology, which is an important reason for the synergistic effect. This paper describes the topology of industrial systems using complex network theory; further, it discusses how to identify the criticality and importance of industrial nodes, and whether node characteristics cause synergistic effects. Based on the input-output data of China in 2007, 2012 and 2017, this paper constructs the industrial complex network of 30 Chinese provinces and cities, and measures the regional network characteristics of the manufacturing industry. The fixed-effect panel regression model is adopted to test the influence of agglomeration degree and centrality on synergies, and its adjustment mechanism is explored. The degree of network agglomeration in the manufacturing industry exerts a negative impact on the synergistic effect, while the centrality of the network exerts a significant promoting effect on the synergistic effect. The results of adjustment mechanism test show that enhancing the autonomous controllable ability of the regional industrial chain in the manufacturing industry can effectively reduce the effect of network characteristics on the synergistic effect. Based on input-output technology, this paper constructs a complex industrial network model, however, only basic flow data are used. Considerable in-depth and detailed research on the economic and technological connections within the industry should be conducted in the future. The selection of the evaluation index of the importance of industrial nodes also needs to be further considered. For historical reasons, it is also difficult to obtain and process data when carrying out quantitative analysis; therefore, it is necessary to make further attempts from the data source and the expression form of evaluation indicators. In a practical sense this has certain reference value for the formulation of manufacturing industrial policies the optimization of regional industrial layout and the improvement of the industrial development level. It is necessary to formulate targeted and specialized industrial development strategies according to the characteristics of the manufacturing industry appropriately regulate the autonomous controllable ability of the industrial chain and avoid to limit the development of industries which is in turn limited by regional resources. Industry competition and market congestion need to be reduced industry exchanges outside the region encouraged the industrial layout optimized and the construction of a modern industrial system accelerated. The above research results hold certain reference importance for policy formulation related to the manufacturing industry, regional industrial layout optimization and industrial development level improvement. Targeted specialized industrial development strategies need to be formulated according to the characteristics of the manufacturing industry; the autonomous controllability of the industrial chain needs to be appropriately regulated; limitation of regional resources needs to be avoided as this restricts industrial development; and industry competition and market congestion need to be reduced. Agglomeration of production factors and optimization of resource allocation is an important part of a beneficial regional economic development strategy, and it is also an inevitable choice for industrialization to develop to a certain stage under the condition of a market economy. In alignment with the research conclusions, effective suggestions can be put forward for the current major industrial policies. In the process of promoting the development of the manufacturing industry, it is necessary for regional governments to carry out unified planning and guidance on the spatial layout of each manufacturing subsector. Regional governments need to effectively allocate inter-industry resources, better share economies of scale, constantly enhance the competitive advantages and competitiveness of development zones and new districts and promote the coordinated agglomeration and development of related industries with input industries. Industrial exchanges outside the region should be encouraged, the industrial layout should be optimized and the construction of a modern industrial system should be accelerated. Complex network theory is introduced to study the industrial synergy effect. A complex industrial network of China's 30 regions is built and key network nodes are measured. Based on the dimensionality of the “industrial node – industrial chain – industrial complex network”, the research path of industrial complex networks is improved.Study on the characteristics and synergistic effects of industrial complex networks – empirical evidence from Chinese manufacturing
Chen Xuemeng, Ma Guangqi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The manufacturing industry and the producer service industry have a high degree of industrial correlation, and their integration will cause changes in the complex industrial network topology, which is an important reason for the synergistic effect. This paper describes the topology of industrial systems using complex network theory; further, it discusses how to identify the criticality and importance of industrial nodes, and whether node characteristics cause synergistic effects.

Based on the input-output data of China in 2007, 2012 and 2017, this paper constructs the industrial complex network of 30 Chinese provinces and cities, and measures the regional network characteristics of the manufacturing industry. The fixed-effect panel regression model is adopted to test the influence of agglomeration degree and centrality on synergies, and its adjustment mechanism is explored.

The degree of network agglomeration in the manufacturing industry exerts a negative impact on the synergistic effect, while the centrality of the network exerts a significant promoting effect on the synergistic effect. The results of adjustment mechanism test show that enhancing the autonomous controllable ability of the regional industrial chain in the manufacturing industry can effectively reduce the effect of network characteristics on the synergistic effect.

Based on input-output technology, this paper constructs a complex industrial network model, however, only basic flow data are used. Considerable in-depth and detailed research on the economic and technological connections within the industry should be conducted in the future. The selection of the evaluation index of the importance of industrial nodes also needs to be further considered. For historical reasons, it is also difficult to obtain and process data when carrying out quantitative analysis; therefore, it is necessary to make further attempts from the data source and the expression form of evaluation indicators.

In a practical sense this has certain reference value for the formulation of manufacturing industrial policies the optimization of regional industrial layout and the improvement of the industrial development level. It is necessary to formulate targeted and specialized industrial development strategies according to the characteristics of the manufacturing industry appropriately regulate the autonomous controllable ability of the industrial chain and avoid to limit the development of industries which is in turn limited by regional resources. Industry competition and market congestion need to be reduced industry exchanges outside the region encouraged the industrial layout optimized and the construction of a modern industrial system accelerated.

The above research results hold certain reference importance for policy formulation related to the manufacturing industry, regional industrial layout optimization and industrial development level improvement. Targeted specialized industrial development strategies need to be formulated according to the characteristics of the manufacturing industry; the autonomous controllability of the industrial chain needs to be appropriately regulated; limitation of regional resources needs to be avoided as this restricts industrial development; and industry competition and market congestion need to be reduced. Agglomeration of production factors and optimization of resource allocation is an important part of a beneficial regional economic development strategy, and it is also an inevitable choice for industrialization to develop to a certain stage under the condition of a market economy. In alignment with the research conclusions, effective suggestions can be put forward for the current major industrial policies. In the process of promoting the development of the manufacturing industry, it is necessary for regional governments to carry out unified planning and guidance on the spatial layout of each manufacturing subsector. Regional governments need to effectively allocate inter-industry resources, better share economies of scale, constantly enhance the competitive advantages and competitiveness of development zones and new districts and promote the coordinated agglomeration and development of related industries with input industries. Industrial exchanges outside the region should be encouraged, the industrial layout should be optimized and the construction of a modern industrial system should be accelerated.

Complex network theory is introduced to study the industrial synergy effect. A complex industrial network of China's 30 regions is built and key network nodes are measured. Based on the dimensionality of the “industrial node – industrial chain – industrial complex network”, the research path of industrial complex networks is improved.

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Study on the characteristics and synergistic effects of industrial complex networks – empirical evidence from Chinese manufacturing 10.1108/K-09-2023-1771Kybernetes2023-12-01© 2023 Emerald Publishing LimitedChen XuemengMa GuangqiKybernetesahead-of-printahead-of-print2023-12-0110.1108/K-09-2023-1771https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1771/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Equilibrium strategies of sharing CSR in a supply chain with manufacturer encroachmenthttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1798/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestMotivated by the real-world practice of the thriving e-commerce, manufacturers are transcending traditional boundaries of merely producing and selling directly by implementing encroachment. Concurrently, supply chain (SC) members who overlook the corporate social responsibility (CSR) sharing will be left behind, which is closely linked to their profits. This paper aims to investigate a better way to share CSR under the scenarios of manufacturer encroachment and no-encroachment. This paper constructs game-theoretic models in a SC consisting of a manufacturer (M) and a retailer (R), where the manufacturer can sell products by retailing, and may sell directly by implicating encroachment. The manufacturer and retailer jointly consider whether to share CSR and the proportion of it by taking consumer surplus into account. Furthermore, equilibriums for each model are derived using backward induction. Then, the authors analyse the impact of CSR sharing proportion and compare the equilibrium outcomes under different scenarios. Finally, the numerical analyses are presented to verify the results. Several interesting results are found in this paper. First, the retailer shares more CSR can benefit SC members and social welfare when the manufacturer does not implement encroachment. However, the results may change which is decided by the unit cost of encroachment when the manufacturer does so. Second, the proportion of CSR shared by manufacturer and the unit cost of encroachment has an interactive impact on equilibrium outcomes. Finally, both manufacturer encroachment and SC members share CSR may be the best for the perspective of SC members and consumers. Based on the analytical results, this paper provides novel managerial implications to assist manufacturer and retailer in determining the optimal strategies for CSR sharing and encroachment. Furthermore, the appropriate proportion of CSR shared by manufacturer and the unit cost of encroachment may let manufacturer, retailer and consumer surplus achieve a win-win-win situation. To the best of the authors’ knowledge, this paper is the first attempt to explore the strategy of CSR sharing under the scenarios of manufacturer encroachment and no-encroachment.Equilibrium strategies of sharing CSR in a supply chain with manufacturer encroachment
Yonghong Cheng, Jiaxin Pan, Teng Yao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Motivated by the real-world practice of the thriving e-commerce, manufacturers are transcending traditional boundaries of merely producing and selling directly by implementing encroachment. Concurrently, supply chain (SC) members who overlook the corporate social responsibility (CSR) sharing will be left behind, which is closely linked to their profits. This paper aims to investigate a better way to share CSR under the scenarios of manufacturer encroachment and no-encroachment.

This paper constructs game-theoretic models in a SC consisting of a manufacturer (M) and a retailer (R), where the manufacturer can sell products by retailing, and may sell directly by implicating encroachment. The manufacturer and retailer jointly consider whether to share CSR and the proportion of it by taking consumer surplus into account. Furthermore, equilibriums for each model are derived using backward induction. Then, the authors analyse the impact of CSR sharing proportion and compare the equilibrium outcomes under different scenarios. Finally, the numerical analyses are presented to verify the results.

Several interesting results are found in this paper. First, the retailer shares more CSR can benefit SC members and social welfare when the manufacturer does not implement encroachment. However, the results may change which is decided by the unit cost of encroachment when the manufacturer does so. Second, the proportion of CSR shared by manufacturer and the unit cost of encroachment has an interactive impact on equilibrium outcomes. Finally, both manufacturer encroachment and SC members share CSR may be the best for the perspective of SC members and consumers.

Based on the analytical results, this paper provides novel managerial implications to assist manufacturer and retailer in determining the optimal strategies for CSR sharing and encroachment. Furthermore, the appropriate proportion of CSR shared by manufacturer and the unit cost of encroachment may let manufacturer, retailer and consumer surplus achieve a win-win-win situation.

To the best of the authors’ knowledge, this paper is the first attempt to explore the strategy of CSR sharing under the scenarios of manufacturer encroachment and no-encroachment.

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Equilibrium strategies of sharing CSR in a supply chain with manufacturer encroachment10.1108/K-09-2023-1798Kybernetes2024-01-15© 2024 Emerald Publishing LimitedYonghong ChengJiaxin PanTeng YaoKybernetesahead-of-printahead-of-print2024-01-1510.1108/K-09-2023-1798https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1798/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Achieving sustainable development goals (SDGs) through corporate sustainability: a topic modeling-based bibliometric analysis approachhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1802/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestConsidering the swift adoption of innovative sustainability practices in businesses to accomplish sustainable development goals (SDGs), research on corporate sustainability has increased significantly over the years. This research intends to analyze the published literature, emphasizing the existing, emerging and future research directions on achieving the SDGs through corporate sustainability. This research analyzed the growing trends in corporate sustainability by incorporating 2,038 Scopus articles published between 1999 and 2022 using latent Dirichlet allocation (LDA) topic modeling, bibliometrics and qualitative content analysis techniques. The bibliometric data were analyzed using performance and science mapping. Thereafter, topic modeling and content analysis uncovered the topics included under the corporate sustainability umbrella. The findings indicate that investigation into corporate sustainability has considerably increased from 2015 to date. Additionally, the majority of studies on corporate sustainability are from the United States of America, the United Kingdom and Germany. Besides, the USA has the most collaboration in terms of co-authorship. S. Schaltegger was considered the most productive author. However, P. Bansal was ranked as the top author based on a co-citation analysis of authors. Further, bibliometric data were evaluated to analyze leading publications, journals and institutions. Besides, keyword co-occurrence analysis, topic modeling and content analysis highlighted the theoretical underpinnings and new patterns and provided directions for further research. This study demonstrates various existing and emerging themes in corporate sustainability, which have various repercussions for academicians and organizations. This research also examines the lagging themes in the current domain.Achieving sustainable development goals (SDGs) through corporate sustainability: a topic modeling-based bibliometric analysis approach
Meenal Arora, Jaya Gupta, Amit Mittal, Anshika Prakash
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Considering the swift adoption of innovative sustainability practices in businesses to accomplish sustainable development goals (SDGs), research on corporate sustainability has increased significantly over the years. This research intends to analyze the published literature, emphasizing the existing, emerging and future research directions on achieving the SDGs through corporate sustainability.

This research analyzed the growing trends in corporate sustainability by incorporating 2,038 Scopus articles published between 1999 and 2022 using latent Dirichlet allocation (LDA) topic modeling, bibliometrics and qualitative content analysis techniques. The bibliometric data were analyzed using performance and science mapping. Thereafter, topic modeling and content analysis uncovered the topics included under the corporate sustainability umbrella.

The findings indicate that investigation into corporate sustainability has considerably increased from 2015 to date. Additionally, the majority of studies on corporate sustainability are from the United States of America, the United Kingdom and Germany. Besides, the USA has the most collaboration in terms of co-authorship. S. Schaltegger was considered the most productive author. However, P. Bansal was ranked as the top author based on a co-citation analysis of authors. Further, bibliometric data were evaluated to analyze leading publications, journals and institutions. Besides, keyword co-occurrence analysis, topic modeling and content analysis highlighted the theoretical underpinnings and new patterns and provided directions for further research.

This study demonstrates various existing and emerging themes in corporate sustainability, which have various repercussions for academicians and organizations. This research also examines the lagging themes in the current domain.

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Achieving sustainable development goals (SDGs) through corporate sustainability: a topic modeling-based bibliometric analysis approach10.1108/K-09-2023-1802Kybernetes2024-03-07© 2024 Emerald Publishing LimitedMeenal AroraJaya GuptaAmit MittalAnshika PrakashKybernetesahead-of-printahead-of-print2024-03-0710.1108/K-09-2023-1802https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1802/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Hybrid workspace and affective well-being: the mediating role of positive work reflectionhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1804/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn a post-pandemic era, the hybrid workspace (HW) that came into practice now remains a new normal way of working for employees. This new practice has received a great deal of attention from researchers recently. However, the impact of HW on the affective well-being (AWB) of employees is less investigated. The present study focuses on the relationship between HW and affective states (positive and negative affects together) and the role of positive work reflection (PWR). This present research work is based on the cross-sectional data collected from employees of IT and software sectors in India, through the purposive convenience sampling method (N = 329). Respondents were identified through the social and industrial connections of the authors. Structural equation modeling with AMOS 24 was adopted for hypothesis testing. The empirical findings showed that HW is positively related to positive affects, negatively related to negative affects and positively associated with PWR. In addition, the PWR can partially mediate the relationship between HW and affective states, which is in line with the existing literature on PWR. By exploring the less investigated link between HW and affective states, this study offers new insights into the understanding of HW and AWB. Based on the ideas of cognitive appraisal theory, this study contributes to the literature by proposing and analyzing PWR as a mechanism that partially mediates the influence of HW on the positive and negative affects of employees. These findings will facilitate the decision-makers, employees and organizations to understand the essential benefits of HW in the form of affective states and PWR. To the best of the authors' knowledge, this is the first study to explore the relationship between HW, PWR and AWB of employees.Hybrid workspace and affective well-being: the mediating role of positive work reflection
R. Karpagavalli, L. Suganthi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In a post-pandemic era, the hybrid workspace (HW) that came into practice now remains a new normal way of working for employees. This new practice has received a great deal of attention from researchers recently. However, the impact of HW on the affective well-being (AWB) of employees is less investigated. The present study focuses on the relationship between HW and affective states (positive and negative affects together) and the role of positive work reflection (PWR).

This present research work is based on the cross-sectional data collected from employees of IT and software sectors in India, through the purposive convenience sampling method (N = 329). Respondents were identified through the social and industrial connections of the authors. Structural equation modeling with AMOS 24 was adopted for hypothesis testing.

The empirical findings showed that HW is positively related to positive affects, negatively related to negative affects and positively associated with PWR. In addition, the PWR can partially mediate the relationship between HW and affective states, which is in line with the existing literature on PWR.

By exploring the less investigated link between HW and affective states, this study offers new insights into the understanding of HW and AWB. Based on the ideas of cognitive appraisal theory, this study contributes to the literature by proposing and analyzing PWR as a mechanism that partially mediates the influence of HW on the positive and negative affects of employees. These findings will facilitate the decision-makers, employees and organizations to understand the essential benefits of HW in the form of affective states and PWR. To the best of the authors' knowledge, this is the first study to explore the relationship between HW, PWR and AWB of employees.

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Hybrid workspace and affective well-being: the mediating role of positive work reflection10.1108/K-09-2023-1804Kybernetes2024-01-09© 2023 Emerald Publishing LimitedR. KarpagavalliL. SuganthiKybernetesahead-of-printahead-of-print2024-01-0910.1108/K-09-2023-1804https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1804/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Multidimensional sentiment analysis method on social media data: comparison of emotions during and after the COVID-19 pandemichttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1808/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises. A mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results. The results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms. The primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies. Understanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies. The study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges. This research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.Multidimensional sentiment analysis method on social media data: comparison of emotions during and after the COVID-19 pandemic
Bülent Doğan, Yavuz Selim Balcioglu, Meral Elçi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises.

A mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results.

The results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms.

The primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies.

Understanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies.

The study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges.

This research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.

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Multidimensional sentiment analysis method on social media data: comparison of emotions during and after the COVID-19 pandemic10.1108/K-09-2023-1808Kybernetes2024-01-09© 2023 Emerald Publishing LimitedBülent DoğanYavuz Selim BalciogluMeral ElçiKybernetesahead-of-printahead-of-print2024-01-0910.1108/K-09-2023-1808https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1808/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Segmented compensation mechanism for technological innovation of civilian enterprises’ participation in military: a perspective of dual information asymmetryhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1828/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestBased on dual information asymmetry, the two-stage segmented compensation mechanism for technological innovation of civilian enterprises’ participation in military (CEPIM) has been discussed. On the basis of the traditional principal-agent problems, the incentive compatibility condition is introduced as well as the hybrid incentive compensation model is established, to solve optimal solution of the compensation parameters under the dynamic contract condition and the validity is verified by numerical simulation. The results show that: (1) The two-stage segmented compensation mechanism has the functions of “self-selection” and “stimulus to the strong”, (2) It promotes the civilian enterprises to obtain more innovation benefit compensation through the second stage, (3) There is an inverted U-shaped relationship between government compensation effectiveness and the innovation ability of compensation objects and (4) The “compensable threshold” and “optimal compensation threshold” should be set, respectively, to assess the applicability and priority of compensation. In this paper, through numerical simulation, the optimal solution for two-stage segmented compensation, segmented compensation coefficient, expected returns for all parties and excess expected returns have been verified under various information asymmetry. The results show that the mechanism of two-stage segmented compensation can improve the expected returns for both civilian enterprises and the government. However, under dual information asymmetry, for innovation ability of the intended compensation candidates, a “compensation threshold” should be set to determine whether the compensation should be carried out, furthermore an “optimal compensation threshold” should be set to determine the compensation priority.Segmented compensation mechanism for technological innovation of civilian enterprises’ participation in military: a perspective of dual information asymmetry
Fan Zhang, Haolin Wen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Based on dual information asymmetry, the two-stage segmented compensation mechanism for technological innovation of civilian enterprises’ participation in military (CEPIM) has been discussed.

On the basis of the traditional principal-agent problems, the incentive compatibility condition is introduced as well as the hybrid incentive compensation model is established, to solve optimal solution of the compensation parameters under the dynamic contract condition and the validity is verified by numerical simulation.

The results show that: (1) The two-stage segmented compensation mechanism has the functions of “self-selection” and “stimulus to the strong”, (2) It promotes the civilian enterprises to obtain more innovation benefit compensation through the second stage, (3) There is an inverted U-shaped relationship between government compensation effectiveness and the innovation ability of compensation objects and (4) The “compensable threshold” and “optimal compensation threshold” should be set, respectively, to assess the applicability and priority of compensation.

In this paper, through numerical simulation, the optimal solution for two-stage segmented compensation, segmented compensation coefficient, expected returns for all parties and excess expected returns have been verified under various information asymmetry. The results show that the mechanism of two-stage segmented compensation can improve the expected returns for both civilian enterprises and the government. However, under dual information asymmetry, for innovation ability of the intended compensation candidates, a “compensation threshold” should be set to determine whether the compensation should be carried out, furthermore an “optimal compensation threshold” should be set to determine the compensation priority.

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Segmented compensation mechanism for technological innovation of civilian enterprises’ participation in military: a perspective of dual information asymmetry10.1108/K-09-2023-1828Kybernetes2024-01-23© 2024 Emerald Publishing LimitedFan ZhangHaolin WenKybernetesahead-of-printahead-of-print2024-01-2310.1108/K-09-2023-1828https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1828/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Measuring the multiplier effect of regional tourism and its spatial distribution in Indonesia before and after the COVID-19https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1843/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe tourism multiplier effect (TME) is the total economic impact of tourism demand, representing the linkages between tourism and other businesses in an area. However, study about it is limited in Indonesia, especially at the provincial level and after the COVID-19 crisis. This study aims to estimate the TME in all provinces of Indonesia, test its differences in priority and non-priority areas before and after the COVID-19 crisis, analyze its spatial distribution and examine the determinant factor of TME This study applies an input-output model to measure the TME of all provinces in Indonesia, an independent sample t-test to examine the similarity of TME in priority and nonpriority areas, a paired sample t-test to examine the similarity of it before and after the COVID-19 crisis, and spatial analysis to check its spatial relationship. The result shows that regional TME ranges from 1.25 to 2.05 in 2019, which changed slightly over time. The empirical result shows the TME difference before and after the COVID-19 crisis, and there is a spatial correlation in terms of TME with the hot spots are clustered in the eastern region of Indonesia, However, there was a slight change in the position of hot spots during the COVID-19 crisis. Moreover, the spatial model shows that value-added and employment in agriculture, manufacturing, trade and transportation affect the size of TME. This study contributes to the academic literature by providing the first estimate of the TME at the provincial level in Indonesia, comparing the it in priority and non-priority areas before and after the COVID-19 crisis, and mapping its spatial distribution.Measuring the multiplier effect of regional tourism and its spatial distribution in Indonesia before and after the COVID-19
Ray Sastri, Fanglin Li, Arbi Setiyawan, Anugerah Karta Monika
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The tourism multiplier effect (TME) is the total economic impact of tourism demand, representing the linkages between tourism and other businesses in an area. However, study about it is limited in Indonesia, especially at the provincial level and after the COVID-19 crisis. This study aims to estimate the TME in all provinces of Indonesia, test its differences in priority and non-priority areas before and after the COVID-19 crisis, analyze its spatial distribution and examine the determinant factor of TME

This study applies an input-output model to measure the TME of all provinces in Indonesia, an independent sample t-test to examine the similarity of TME in priority and nonpriority areas, a paired sample t-test to examine the similarity of it before and after the COVID-19 crisis, and spatial analysis to check its spatial relationship.

The result shows that regional TME ranges from 1.25 to 2.05 in 2019, which changed slightly over time. The empirical result shows the TME difference before and after the COVID-19 crisis, and there is a spatial correlation in terms of TME with the hot spots are clustered in the eastern region of Indonesia, However, there was a slight change in the position of hot spots during the COVID-19 crisis. Moreover, the spatial model shows that value-added and employment in agriculture, manufacturing, trade and transportation affect the size of TME.

This study contributes to the academic literature by providing the first estimate of the TME at the provincial level in Indonesia, comparing the it in priority and non-priority areas before and after the COVID-19 crisis, and mapping its spatial distribution.

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Measuring the multiplier effect of regional tourism and its spatial distribution in Indonesia before and after the COVID-1910.1108/K-09-2023-1843Kybernetes2024-01-10© 2023 Emerald Publishing LimitedRay SastriFanglin LiArbi SetiyawanAnugerah Karta MonikaKybernetesahead-of-printahead-of-print2024-01-1010.1108/K-09-2023-1843https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1843/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Examining the impact of internal marketing strategies on employee-based brand equity benefitshttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1851/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe primary purpose of this research is to conceptualise and validate the comprehensive framework for effectively measuring and managing employee-based brand equity (EBBE) benefits. The study endeavours to integrate professional and socio-emotional facets of employees' into the proposed model, lending it a more holistic approach. The study focusses on the banking sector in Kosovo, employing structural equation modelling to analyse data from a sample of 325 employees. Both professional and socio-emotional perspectives significantly influenced brand knowledge, positively impacting EBBE benefits such as employee satisfaction, retention and positive word of mouth (WOM). These findings provide empirical support for the theoretical assumptions concerning the role of professional and socio-emotional perspectives in building EBBE. Theoretically, this research could bridge marketing and organisational behaviour theories by highlighting employees' role in building brand equity. Moreover, it might expand the social identity theory within an organisational context, emphasising employees' identification with the brand as a crucial element. The study offers practical implications for the banking industry and similar contexts, suggesting robust internal marketing strategies prioritising professional development and socio-emotional connectivity. Theoretically, this research could bridge marketing and organisational behaviour theories by highlighting employees' role in building brand equity. Moreover, it might expand the social identity theory within an organisational context, emphasising employees' identification with the brand as a crucial element. The paper presents an original contribution to the field of brand equity research by proposing and validating a novel framework for EBBE that uniquely integrates both professional and socio-emotional dimensions of employees' experiences. This approach is particularly innovative within the context of the banking sector, offering new empirical insights.Examining the impact of internal marketing strategies on employee-based brand equity benefits
Granit Baca, Nail Reshidi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The primary purpose of this research is to conceptualise and validate the comprehensive framework for effectively measuring and managing employee-based brand equity (EBBE) benefits. The study endeavours to integrate professional and socio-emotional facets of employees' into the proposed model, lending it a more holistic approach.

The study focusses on the banking sector in Kosovo, employing structural equation modelling to analyse data from a sample of 325 employees.

Both professional and socio-emotional perspectives significantly influenced brand knowledge, positively impacting EBBE benefits such as employee satisfaction, retention and positive word of mouth (WOM). These findings provide empirical support for the theoretical assumptions concerning the role of professional and socio-emotional perspectives in building EBBE.

Theoretically, this research could bridge marketing and organisational behaviour theories by highlighting employees' role in building brand equity. Moreover, it might expand the social identity theory within an organisational context, emphasising employees' identification with the brand as a crucial element.

The study offers practical implications for the banking industry and similar contexts, suggesting robust internal marketing strategies prioritising professional development and socio-emotional connectivity. Theoretically, this research could bridge marketing and organisational behaviour theories by highlighting employees' role in building brand equity. Moreover, it might expand the social identity theory within an organisational context, emphasising employees' identification with the brand as a crucial element.

The paper presents an original contribution to the field of brand equity research by proposing and validating a novel framework for EBBE that uniquely integrates both professional and socio-emotional dimensions of employees' experiences. This approach is particularly innovative within the context of the banking sector, offering new empirical insights.

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Examining the impact of internal marketing strategies on employee-based brand equity benefits10.1108/K-09-2023-1851Kybernetes2024-02-26© 2024 Emerald Publishing LimitedGranit BacaNail ReshidiKybernetesahead-of-printahead-of-print2024-02-2610.1108/K-09-2023-1851https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1851/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Who are the best voluntary disseminators on social networking sites? An exploration based on panel data from twitterhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1871/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUsers' voluntary forwarding behavior opens a new avenue for companies to promote their brands and products on social networking sites (SNS). However, research on voluntary information disseminators is limited. This paper aims to bring an in-depth understanding of voluntary disseminators by answering the following questions: (1) What is the underlying mechanism by which some users are more enthusiastic to voluntarily forward content of interest? (2) How to identify them? We propose a theoretical model based on the Elaboration-Likelihood Model (ELM) and examine three types of factors that moderate the effect of preference matching on individual forwarding behavior, including personal characteristics, tweet characteristics and sender–receiver relationships. Via Twitter API, we randomly crawled 1967 Twitter users' data to validate the conceptual framework. Each user’s original tweets and retweeted tweets, profile data such as the number of followers and followees and verification status were obtained. The final corpus contains 163,554 data points composed of 1,634 valid twitterers' retweeting behavior. Tweets produced by these core users' followees were also crawled. These data points constitute an unbalanced panel data and we employ different models — fixed-effects, random-effects and pooled logit models — to test the moderation effects. The robustness test shows consistency among these different models. Preference matching significantly affects users' forwarding behavior, implying that SNS users are more likely to share contents that align with their preferences. In addition, we find that popular users with lots of followers, heavy SNS users who author tweets or forward other-sourced tweets more frequently and users who tend to produce longer original contents are more enthusiastic to disseminate contents of interest. Furthermore, interaction strength has a positive moderating effect on the relationship between preference matching and individuals' forwarding decisions, suggesting that users are more likely to disseminate content of interest when it comes from strong ties. However, the moderating effect of perceived affinity is significantly negative, indicating that an online community of individuals with many common friends is not an ideal place to engage individuals in sharing information. This work brings about a deep understanding of users' voluntary forwarding behavior of content of interest. To the best of our knowledge, the current study is the first to examine (1) the underlying mechanism by which some users are more likely to voluntarily forward content of interest; and (2) how to identify these potential voluntary disseminators. By extending the ELM, we examine the moderating effect of tweet characteristics, sender–receiver relationships as well as personal characteristics. Our research findings provide practical guidelines for enterprises and government institutions to choose voluntary endorsers when trying to engage individuals in information dissemination on SNS.Who are the best voluntary disseminators on social networking sites? An exploration based on panel data from twitter
Juan Shi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Users' voluntary forwarding behavior opens a new avenue for companies to promote their brands and products on social networking sites (SNS). However, research on voluntary information disseminators is limited. This paper aims to bring an in-depth understanding of voluntary disseminators by answering the following questions: (1) What is the underlying mechanism by which some users are more enthusiastic to voluntarily forward content of interest? (2) How to identify them? We propose a theoretical model based on the Elaboration-Likelihood Model (ELM) and examine three types of factors that moderate the effect of preference matching on individual forwarding behavior, including personal characteristics, tweet characteristics and sender–receiver relationships.

Via Twitter API, we randomly crawled 1967 Twitter users' data to validate the conceptual framework. Each user’s original tweets and retweeted tweets, profile data such as the number of followers and followees and verification status were obtained. The final corpus contains 163,554 data points composed of 1,634 valid twitterers' retweeting behavior. Tweets produced by these core users' followees were also crawled. These data points constitute an unbalanced panel data and we employ different models — fixed-effects, random-effects and pooled logit models — to test the moderation effects. The robustness test shows consistency among these different models.

Preference matching significantly affects users' forwarding behavior, implying that SNS users are more likely to share contents that align with their preferences. In addition, we find that popular users with lots of followers, heavy SNS users who author tweets or forward other-sourced tweets more frequently and users who tend to produce longer original contents are more enthusiastic to disseminate contents of interest. Furthermore, interaction strength has a positive moderating effect on the relationship between preference matching and individuals' forwarding decisions, suggesting that users are more likely to disseminate content of interest when it comes from strong ties. However, the moderating effect of perceived affinity is significantly negative, indicating that an online community of individuals with many common friends is not an ideal place to engage individuals in sharing information.

This work brings about a deep understanding of users' voluntary forwarding behavior of content of interest. To the best of our knowledge, the current study is the first to examine (1) the underlying mechanism by which some users are more likely to voluntarily forward content of interest; and (2) how to identify these potential voluntary disseminators. By extending the ELM, we examine the moderating effect of tweet characteristics, sender–receiver relationships as well as personal characteristics. Our research findings provide practical guidelines for enterprises and government institutions to choose voluntary endorsers when trying to engage individuals in information dissemination on SNS.

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Who are the best voluntary disseminators on social networking sites? An exploration based on panel data from twitter10.1108/K-09-2023-1871Kybernetes2024-03-08© 2024 Emerald Publishing LimitedJuan ShiKybernetesahead-of-printahead-of-print2024-03-0810.1108/K-09-2023-1871https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1871/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The role of technology in entrepreneurship: a comprehensive systematic and bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1873/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThrough bibliometric analysis, the study intends to reveal the evolution of the trends in the Scopus database, the scope of research and the connection between technology and entrepreneurship. This study uses a comprehensive science mapping approach, integrating network visualisation to map research groups, bibliometric analysis to measure publication trends and thematic analysis to identify overarching themes. This study uses a thorough technique to examine the complex interaction between technology and entrepreneurship from 2000 to 2023. The collection includes information from various sources, creating a corpus of 2,207 documents. These sources include 698 scholarly journals, books and other publications. According to the report, the interest in technology and entrepreneurship is expanding. The three nations conducting the most study on this subject is the USA, the UK and Italy. Some of the top writers in this area include James A. Cunningham, Alison N. Link and David B. Audretsch. The study found possibilities and problems associated with the interaction between technology and entrepreneurship. Additionally, the study found several research holes in this area. The study also noted some research gaps in this field, including those related to the sustainability of society and the environment, the effects of entrepreneurship on inequality and the difficulties faced by entrepreneurs in underdeveloped nations. This study thoroughly overviews the business and technology sectors. It outlines some of the difficulties that must be overcome whilst identifying the main research trends in this field. Researchers, decision-makers and businesspeople interested in using technology for entrepreneurial endeavours can all benefit from the study’s findings. This study’s dataset’s scope, which might not include all pertinent publications, is one of its limitations. Nevertheless, the results add to a thorough picture of the state of the profession and recent developments. This study’s insights are valuable for researchers, policymakers and entrepreneurs interested in leveraging technology for entrepreneurial pursuits. The research points to a number of directions that need more inquiry, such as in-depth studies into the social and environmental implications of technology-driven entrepreneurship and methods to combat inequality.The role of technology in entrepreneurship: a comprehensive systematic and bibliometric analysis
Usha Rani Jayanna, Senthil Kumar Jaya Prakash, Ravi Aluvala, B. Venkata Rao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Through bibliometric analysis, the study intends to reveal the evolution of the trends in the Scopus database, the scope of research and the connection between technology and entrepreneurship.

This study uses a comprehensive science mapping approach, integrating network visualisation to map research groups, bibliometric analysis to measure publication trends and thematic analysis to identify overarching themes. This study uses a thorough technique to examine the complex interaction between technology and entrepreneurship from 2000 to 2023. The collection includes information from various sources, creating a corpus of 2,207 documents. These sources include 698 scholarly journals, books and other publications.

According to the report, the interest in technology and entrepreneurship is expanding. The three nations conducting the most study on this subject is the USA, the UK and Italy. Some of the top writers in this area include James A. Cunningham, Alison N. Link and David B. Audretsch.

The study found possibilities and problems associated with the interaction between technology and entrepreneurship. Additionally, the study found several research holes in this area. The study also noted some research gaps in this field, including those related to the sustainability of society and the environment, the effects of entrepreneurship on inequality and the difficulties faced by entrepreneurs in underdeveloped nations.

This study thoroughly overviews the business and technology sectors. It outlines some of the difficulties that must be overcome whilst identifying the main research trends in this field. Researchers, decision-makers and businesspeople interested in using technology for entrepreneurial endeavours can all benefit from the study’s findings.

This study’s dataset’s scope, which might not include all pertinent publications, is one of its limitations. Nevertheless, the results add to a thorough picture of the state of the profession and recent developments. This study’s insights are valuable for researchers, policymakers and entrepreneurs interested in leveraging technology for entrepreneurial pursuits.

The research points to a number of directions that need more inquiry, such as in-depth studies into the social and environmental implications of technology-driven entrepreneurship and methods to combat inequality.

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The role of technology in entrepreneurship: a comprehensive systematic and bibliometric analysis10.1108/K-09-2023-1873Kybernetes2024-01-16© 2023 Emerald Publishing LimitedUsha Rani JayannaSenthil Kumar Jaya PrakashRavi AluvalaB. Venkata RaoKybernetesahead-of-printahead-of-print2024-01-1610.1108/K-09-2023-1873https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1873/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Mapping the social value creation of renewable energy enterprises in a social open innovation milieuhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1884/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAs the backbone of the social open innovation (SOI) system, social enterprises (SEs) are the key drivers of social value creation (SVC). However, at the micro-level, research in this area is lacking, as attention is scantly paid on the comprehensive capabilities of renewable energy enterprises, their industrial heterogeneity and heterogeneous social connections, including bricolage and utility innovation. Drawing from the social resource-based view theory and institutional theory, the research investigates SOI effect on SVC, the moderating role of social ties (ST) and entrepreneurial bricolage (EB) mediation. The research methodology encompassed several key steps. Initially, a research framework was constructed based on a comprehensive literature review. Subsequently, data were collected by surveying 133 middle to senior-level managers. To assess the proposed hypotheses, a structured equation modeling analysis was conducted using a two-stage approach, which involved partial least squares and hierarchical regression techniques. The study reveals that SOI affects SVC significantly, and SOI positively impacts EB. Furthermore, political ties strengthen the positive impact of SOI on EB. Moreover, EB positively impacts SVC. Additionally, EB mediates the relationship between SOI and SVC. Firstly, the measurement of variables relies on a subjective approach. Future research could employ a quantitative comprehensive index evaluation method of assessment, thereby providing additional validation for the authors' findings. Secondly, although cross-sectional data can be utilized to explore the relationships between variables, there may be inherent biases in the results. Therefore, longitudinal data collection in future research would enable the observation of the long-term effects of SOI and EB on SVC and ST. Thirdly, it would be beneficial to examine other potential factors that could contribute to a more comprehensive understanding of the mechanisms linking SOI to SVC. First, the study underscores the significance of EB in the interplay between SOI and SVC. By embracing innovative approaches and fostering collaborations, SEs can harness EB as a powerful tool for achieving their social missions while overcoming resource constraints. Second, it is imperative for managers to foster a conducive environment for SVC within their organizations, characterized by network ties and partnerships. Simultaneously, they should proactively drive ST initiatives and remain attuned to evolving changes in external environmental laws and regulations. Third, the Malagasy government is actively advocating for social interventions and the establishment of social milieus reminiscent of corporate social responsibility. This study emphasizes the importance of ST and recognizes the pivotal role of EB in generating social value within an ecosystem that supports SOI. SEs can create lasting positive impacts on society (e.g. improving access to electricity) by embracing these principles and collaborating with stakeholders. These findings serve to enhance the underlying theoretical context of social entrepreneurship, propose nuanced insight into the methodologies for implementing SVC within the context of renewable energy enterprises and make significant contributions to the ongoing progress of research in the domains of open innovation and social entrepreneurship.Mapping the social value creation of renewable energy enterprises in a social open innovation milieu
Noa Willys, Wenyuan Li, Otu Larbi-Siaw, Ettien Fulgence Brou
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

As the backbone of the social open innovation (SOI) system, social enterprises (SEs) are the key drivers of social value creation (SVC). However, at the micro-level, research in this area is lacking, as attention is scantly paid on the comprehensive capabilities of renewable energy enterprises, their industrial heterogeneity and heterogeneous social connections, including bricolage and utility innovation. Drawing from the social resource-based view theory and institutional theory, the research investigates SOI effect on SVC, the moderating role of social ties (ST) and entrepreneurial bricolage (EB) mediation.

The research methodology encompassed several key steps. Initially, a research framework was constructed based on a comprehensive literature review. Subsequently, data were collected by surveying 133 middle to senior-level managers. To assess the proposed hypotheses, a structured equation modeling analysis was conducted using a two-stage approach, which involved partial least squares and hierarchical regression techniques.

The study reveals that SOI affects SVC significantly, and SOI positively impacts EB. Furthermore, political ties strengthen the positive impact of SOI on EB. Moreover, EB positively impacts SVC. Additionally, EB mediates the relationship between SOI and SVC.

Firstly, the measurement of variables relies on a subjective approach. Future research could employ a quantitative comprehensive index evaluation method of assessment, thereby providing additional validation for the authors' findings. Secondly, although cross-sectional data can be utilized to explore the relationships between variables, there may be inherent biases in the results. Therefore, longitudinal data collection in future research would enable the observation of the long-term effects of SOI and EB on SVC and ST. Thirdly, it would be beneficial to examine other potential factors that could contribute to a more comprehensive understanding of the mechanisms linking SOI to SVC.

First, the study underscores the significance of EB in the interplay between SOI and SVC. By embracing innovative approaches and fostering collaborations, SEs can harness EB as a powerful tool for achieving their social missions while overcoming resource constraints. Second, it is imperative for managers to foster a conducive environment for SVC within their organizations, characterized by network ties and partnerships. Simultaneously, they should proactively drive ST initiatives and remain attuned to evolving changes in external environmental laws and regulations. Third, the Malagasy government is actively advocating for social interventions and the establishment of social milieus reminiscent of corporate social responsibility.

This study emphasizes the importance of ST and recognizes the pivotal role of EB in generating social value within an ecosystem that supports SOI. SEs can create lasting positive impacts on society (e.g. improving access to electricity) by embracing these principles and collaborating with stakeholders.

These findings serve to enhance the underlying theoretical context of social entrepreneurship, propose nuanced insight into the methodologies for implementing SVC within the context of renewable energy enterprises and make significant contributions to the ongoing progress of research in the domains of open innovation and social entrepreneurship.

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Mapping the social value creation of renewable energy enterprises in a social open innovation milieu10.1108/K-09-2023-1884Kybernetes2024-01-18© 2023 Emerald Publishing LimitedNoa WillysWenyuan LiOtu Larbi-SiawEttien Fulgence BrouKybernetesahead-of-printahead-of-print2024-01-1810.1108/K-09-2023-1884https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1884/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Feedback seeking abilities of L2 writers using ChatGPT: a mixed method multiple case studyhttps://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1933/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study investigated the feedback seeking abilities of learners in L2 writing classrooms using ChatGPT as an automated written corrective feedback (AWCF) provider. Specifically, the research embarked on the exploration of L2 writers’ feedback seeking abilities in interacting with ChatGPT for feedback and their perceptions thereof in the new learning environment. Three EFL learners of distinct language proficiencies and technological competences were recruited to participate in the mixed method multiple case study. The researcher used observation and in-depth interview to collect the ChatGPT prompts written by the participants and their reflections of feedback seeking in the project. The study revealed that: (1) students with different academic profiles display varied abilities to utilize the feedback seeking strategies; (2) the significance of feedback seeking agency was agreed upon and (3) the promoting factors for the development of students’ feedback seeking abilities are the proactivity of involvement and the command of metacognitive regulatory skills. Additionally, a conceptual model of feedback seeking in an AI-mediated learning environment was postulated. The research has its conceptual and practical implications for researchers and educators expecting to incorporate ChatGPT in teaching and learning. The research unveiled the significance and potential of using state-of-the-art technologies in education. However, since we are still in an early phase applying such tools in authentic pedagogical environments, many instructional redevelopment and rearrangement should be considered and implemented. The work is a pioneering effort to explore learners' feedback seeking abilities in a ChatGPT-enhanced learning environment. It pointed out new directions for process-, and student-oriented research in the era of changes.Feedback seeking abilities of L2 writers using ChatGPT: a mixed method multiple case study
Da Yan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study investigated the feedback seeking abilities of learners in L2 writing classrooms using ChatGPT as an automated written corrective feedback (AWCF) provider. Specifically, the research embarked on the exploration of L2 writers’ feedback seeking abilities in interacting with ChatGPT for feedback and their perceptions thereof in the new learning environment.

Three EFL learners of distinct language proficiencies and technological competences were recruited to participate in the mixed method multiple case study. The researcher used observation and in-depth interview to collect the ChatGPT prompts written by the participants and their reflections of feedback seeking in the project.

The study revealed that: (1) students with different academic profiles display varied abilities to utilize the feedback seeking strategies; (2) the significance of feedback seeking agency was agreed upon and (3) the promoting factors for the development of students’ feedback seeking abilities are the proactivity of involvement and the command of metacognitive regulatory skills.

Additionally, a conceptual model of feedback seeking in an AI-mediated learning environment was postulated. The research has its conceptual and practical implications for researchers and educators expecting to incorporate ChatGPT in teaching and learning. The research unveiled the significance and potential of using state-of-the-art technologies in education. However, since we are still in an early phase applying such tools in authentic pedagogical environments, many instructional redevelopment and rearrangement should be considered and implemented.

The work is a pioneering effort to explore learners' feedback seeking abilities in a ChatGPT-enhanced learning environment. It pointed out new directions for process-, and student-oriented research in the era of changes.

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Feedback seeking abilities of L2 writers using ChatGPT: a mixed method multiple case study10.1108/K-09-2023-1933Kybernetes2024-03-04© 2024 Emerald Publishing LimitedDa YanKybernetesahead-of-printahead-of-print2024-03-0410.1108/K-09-2023-1933https://www.emerald.com/insight/content/doi/10.1108/K-09-2023-1933/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Adoption of Islamic Fintech in lending services through prediction of behavioural intentionhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1362/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to provide a better comprehension of the behavioural intentions that influence the adoption of Islamic financial technology (Fintech) in Malaysia for two kinds of Islamic lending Fintech services, which are crowdfunding and peer-to-peer (P2P) lending. From May to July 2022 the primary data were collected by using a questionnaire distributed online to survey 437 Islamic Fintech clients in Malaysia. Structural equation modelling has been used to analyse the data based on using the partial least squares approach. The findings of this paper shows that planned behaviour, acceptance model and technology's use models are positively impacting factors that influence customers' opinions on adapting Islamic Fintech services in lending. The acceptance model was found to exert a negative impact on the intention to adopt Islamic lending P2P Fintech service. In addition, technology's use has a negative impact on the intention to adopt Islamic lending crowdfunding Fintech service. First, the study is limited to Islamic Fintech customers in Malaysia only, second, the study adopted an online survey but there is no guarantee that the geography area was fully covered. Another limitation is that the study covers only Islamic Fintech services in lending, thus the study did not attend to variables such as religiosity and the authors believe that this will provide useful insights for future research. Despite the importance of this topic, there has been a lack of empirical evidence until now. In this paper, the authors take stock of the empirical evidence in the literature through the importance of the adoption Fintech. This study provides a broad view of the market potentials for Fintech providers from the demand side on a wide range of Islamic Fintech services rather than focussing only on payment, transfer, etc. as presented in previous studies.Adoption of Islamic Fintech in lending services through prediction of behavioural intention
Ayman Abdalmajeed Alsmadi, Najed Aalrawashdeh, Anwar Al-Gasaymeh, Amer Moh'd Al_hazimeh, Loai Alhawamdeh
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to provide a better comprehension of the behavioural intentions that influence the adoption of Islamic financial technology (Fintech) in Malaysia for two kinds of Islamic lending Fintech services, which are crowdfunding and peer-to-peer (P2P) lending.

From May to July 2022 the primary data were collected by using a questionnaire distributed online to survey 437 Islamic Fintech clients in Malaysia. Structural equation modelling has been used to analyse the data based on using the partial least squares approach.

The findings of this paper shows that planned behaviour, acceptance model and technology's use models are positively impacting factors that influence customers' opinions on adapting Islamic Fintech services in lending. The acceptance model was found to exert a negative impact on the intention to adopt Islamic lending P2P Fintech service. In addition, technology's use has a negative impact on the intention to adopt Islamic lending crowdfunding Fintech service.

First, the study is limited to Islamic Fintech customers in Malaysia only, second, the study adopted an online survey but there is no guarantee that the geography area was fully covered. Another limitation is that the study covers only Islamic Fintech services in lending, thus the study did not attend to variables such as religiosity and the authors believe that this will provide useful insights for future research.

Despite the importance of this topic, there has been a lack of empirical evidence until now. In this paper, the authors take stock of the empirical evidence in the literature through the importance of the adoption Fintech. This study provides a broad view of the market potentials for Fintech providers from the demand side on a wide range of Islamic Fintech services rather than focussing only on payment, transfer, etc. as presented in previous studies.

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Adoption of Islamic Fintech in lending services through prediction of behavioural intention10.1108/K-10-2022-1362Kybernetes2023-02-28© 2023 Emerald Publishing LimitedAyman Abdalmajeed AlsmadiNajed AalrawashdehAnwar Al-GasaymehAmer Moh'd Al_hazimehLoai AlhawamdehKybernetesahead-of-printahead-of-print2023-02-2810.1108/K-10-2022-1362https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1362/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A review of research on entrepreneurship and crowdfunding: insights from bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1363/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe aim of the study is to examine the role of crowdfunding in entrepreneurial development with the help of a systematic review of the literature and bibliometric analysis. The present research employed bibliometric analysis to study collected data from the database. Using proper keywords, data was retrieved from Scopus. With the scaler and analytical method of bibliometric analysis, the research attempts to answer the following questions, including prominent journals, authors, keywords and cluster analysis based on keyword occurrence. The mapping/networking chart is created using the VOSviewer software. The result of the study suggests that it is an attractive and emerging phenomenon for academicians. The most papers were published in 2021, Small Business Economics and California Management Review are the most prolific journals, while Vismara S is the most significant author with 4 publications and 488 citations. Short JC, School of Management, Royal Holland and USA collaborate most. Cluster analysis of the study will help the future researcher to broaden the existing literature utilising the distinct topics. This research aids entrepreneurs, academia, crowdfunding practitioners and policymakers in identifying application areas for crowdfunding. In conclusion, crowdfunding will enhance the entrepreneurial ecosystem. This study elaborates the significance of crowdfunding in the development of entrepreneurship, using SLR and bibliometric analysis. The study findings identified crowdfunding's usage, applications and potential future research areas, as well as evaluated, reviewed and assessed their significance in entrepreneurial development. The theme-based cluster was determined based on the frequency of occurrence of the keywords.A review of research on entrepreneurship and crowdfunding: insights from bibliometric analysis
Amit Kumar, Gaurav Agrawal
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The aim of the study is to examine the role of crowdfunding in entrepreneurial development with the help of a systematic review of the literature and bibliometric analysis.

The present research employed bibliometric analysis to study collected data from the database. Using proper keywords, data was retrieved from Scopus. With the scaler and analytical method of bibliometric analysis, the research attempts to answer the following questions, including prominent journals, authors, keywords and cluster analysis based on keyword occurrence. The mapping/networking chart is created using the VOSviewer software.

The result of the study suggests that it is an attractive and emerging phenomenon for academicians. The most papers were published in 2021, Small Business Economics and California Management Review are the most prolific journals, while Vismara S is the most significant author with 4 publications and 488 citations. Short JC, School of Management, Royal Holland and USA collaborate most. Cluster analysis of the study will help the future researcher to broaden the existing literature utilising the distinct topics.

This research aids entrepreneurs, academia, crowdfunding practitioners and policymakers in identifying application areas for crowdfunding. In conclusion, crowdfunding will enhance the entrepreneurial ecosystem.

This study elaborates the significance of crowdfunding in the development of entrepreneurship, using SLR and bibliometric analysis. The study findings identified crowdfunding's usage, applications and potential future research areas, as well as evaluated, reviewed and assessed their significance in entrepreneurial development. The theme-based cluster was determined based on the frequency of occurrence of the keywords.

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A review of research on entrepreneurship and crowdfunding: insights from bibliometric analysis10.1108/K-10-2022-1363Kybernetes2023-04-27© 2023 Emerald Publishing LimitedAmit KumarGaurav AgrawalKybernetesahead-of-printahead-of-print2023-04-2710.1108/K-10-2022-1363https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1363/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Inter-organisational cooperation in the context of health units: a mixed-method approachhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1376/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study focuses on the reasons leading health organisations to adopt a cooperation strategy and the benefits they can draw from that inter-organisational relation. To this end, a mixed research approach – qualitative and quantitative – was adopted, taking a real case between a Health Centre Group in inland Portugal (ACeS-CB) and the Faculty of Health Sciences at a university situated in the same region (FCS-UBI). To gather information, a questionnaire survey was directed to medical students in this faculty, together with semi-structured interviews with those in charge of both types of organisation in the inter-organisational cooperation studied here. After content analysis of the interviews and descriptive analysis of the questionnaires, it was concluded that this cooperation is based on a relation of a formal nature, as each organisation is independent from the other, as are their administrative and management organs. The benefits obtained from this cooperative relation regard mainly the share of human resources, particularly elements of the clinical staff in ACeS-CB who have taken on teaching duties at FCS-UBI. Articulation of theoretical training with clinical practice and the exchange of knowledge were other benefits identified. The study also reveals that students perceive this inter-organisational cooperation as satisfactory, corresponding to what was defined by those in charge of the institutions as its main objectives. This study focuses on the reasons leading health organisations to adopt a strategy of cooperation with other organisations in the same sector and the benefits they can obtain from that relation. It represents a tool to support managers in health organisations and other stakeholders in an inter-organisational cooperation relation, in planning strategies and understanding the impact of this type of cooperation.Inter-organisational cooperation in the context of health units: a mixed-method approach
Mário Franco, Carlos Mineiro
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study focuses on the reasons leading health organisations to adopt a cooperation strategy and the benefits they can draw from that inter-organisational relation.

To this end, a mixed research approach – qualitative and quantitative – was adopted, taking a real case between a Health Centre Group in inland Portugal (ACeS-CB) and the Faculty of Health Sciences at a university situated in the same region (FCS-UBI). To gather information, a questionnaire survey was directed to medical students in this faculty, together with semi-structured interviews with those in charge of both types of organisation in the inter-organisational cooperation studied here.

After content analysis of the interviews and descriptive analysis of the questionnaires, it was concluded that this cooperation is based on a relation of a formal nature, as each organisation is independent from the other, as are their administrative and management organs. The benefits obtained from this cooperative relation regard mainly the share of human resources, particularly elements of the clinical staff in ACeS-CB who have taken on teaching duties at FCS-UBI.

Articulation of theoretical training with clinical practice and the exchange of knowledge were other benefits identified. The study also reveals that students perceive this inter-organisational cooperation as satisfactory, corresponding to what was defined by those in charge of the institutions as its main objectives.

This study focuses on the reasons leading health organisations to adopt a strategy of cooperation with other organisations in the same sector and the benefits they can obtain from that relation. It represents a tool to support managers in health organisations and other stakeholders in an inter-organisational cooperation relation, in planning strategies and understanding the impact of this type of cooperation.

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Inter-organisational cooperation in the context of health units: a mixed-method approach10.1108/K-10-2022-1376Kybernetes2023-02-28© 2023 Emerald Publishing LimitedMário FrancoCarlos MineiroKybernetesahead-of-printahead-of-print2023-02-2810.1108/K-10-2022-1376https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1376/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effectiveness of relationship quality on knowledge transfer in project teams: the roles of project organizational structurehttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1394/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to investigate the impact of relationship quality among team members in the project team on knowledge transfer effectiveness and analyze the role of organizational structure in the influencing process. The hypotheses are verified by the Structural Equation Modeling (SEM) analysis using Smart PLS 3 software with the data collected from 236 questionnaire samples in Chinese construction industry. The results indicate that relationship quality has a direct impact on knowledge transfer in project teams and centralization has a negative impact on relationship quality. Moreover, relationship quality plays a mediating role between centralization and knowledge transfer effectiveness and formalization plays a negative moderating role in the effect of relationship quality on knowledge transfer effectiveness. This paper studies intra-project knowledge transfer from the perspective of relationship quality of project teams and explores the antecedent and moderating role of organizational structure in the influence of relationship quality on knowledge transfer.The effectiveness of relationship quality on knowledge transfer in project teams: the roles of project organizational structure
Xu Ren, Jing Xu, Yali Hao, Song Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to investigate the impact of relationship quality among team members in the project team on knowledge transfer effectiveness and analyze the role of organizational structure in the influencing process.

The hypotheses are verified by the Structural Equation Modeling (SEM) analysis using Smart PLS 3 software with the data collected from 236 questionnaire samples in Chinese construction industry.

The results indicate that relationship quality has a direct impact on knowledge transfer in project teams and centralization has a negative impact on relationship quality. Moreover, relationship quality plays a mediating role between centralization and knowledge transfer effectiveness and formalization plays a negative moderating role in the effect of relationship quality on knowledge transfer effectiveness.

This paper studies intra-project knowledge transfer from the perspective of relationship quality of project teams and explores the antecedent and moderating role of organizational structure in the influence of relationship quality on knowledge transfer.

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The effectiveness of relationship quality on knowledge transfer in project teams: the roles of project organizational structure10.1108/K-10-2022-1394Kybernetes2023-04-25© 2023 Emerald Publishing LimitedXu RenJing XuYali HaoSong WangKybernetesahead-of-printahead-of-print2023-04-2510.1108/K-10-2022-1394https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1394/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Cascading failure in guarantee networks from the perspective of equilibriumhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1396/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to test the invulnerability of the guarantee network at the equilibrium point. This paper introduces a tractable guarantee network model that captures the invulnerability of the network in terms of cascade-based attack. Furthermore, the equilibrium points are introduced for banks to determine loan origination. The proposed approach not only develops equilibrium analysis as an extended perspective in the guarantee network, but also applies cascading failure method to construct the guarantee network. The equilibrium points are examined by simulating experiment. The invulnerability of the guarantee network is quantified by the survival of firms in the simulating progress. There is less study in equilibrium analysis of the guarantee network. Additionally, cascading failure model is expressed in the presented approach. Moreover, agent-based model can be extended in generating the guarantee network in the future study. The approach of this paper presents a framework to analyze the equilibrium of the guarantee network. For this, the systemic risk of the whole guarantee network and each node's contribution are measured to predict the probability of default on cascading failure. Focusing on cascade failure process based on equilibrium point, the invulnerability of the guarantee network can be quantified.Cascading failure in guarantee networks from the perspective of equilibrium
Chao Ren, Xiaoxing Liu, Ziyan Zhu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to test the invulnerability of the guarantee network at the equilibrium point.

This paper introduces a tractable guarantee network model that captures the invulnerability of the network in terms of cascade-based attack. Furthermore, the equilibrium points are introduced for banks to determine loan origination.

The proposed approach not only develops equilibrium analysis as an extended perspective in the guarantee network, but also applies cascading failure method to construct the guarantee network. The equilibrium points are examined by simulating experiment. The invulnerability of the guarantee network is quantified by the survival of firms in the simulating progress.

There is less study in equilibrium analysis of the guarantee network. Additionally, cascading failure model is expressed in the presented approach. Moreover, agent-based model can be extended in generating the guarantee network in the future study.

The approach of this paper presents a framework to analyze the equilibrium of the guarantee network. For this, the systemic risk of the whole guarantee network and each node's contribution are measured to predict the probability of default on cascading failure. Focusing on cascade failure process based on equilibrium point, the invulnerability of the guarantee network can be quantified.

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Cascading failure in guarantee networks from the perspective of equilibrium10.1108/K-10-2022-1396Kybernetes2023-04-04© 2023 Emerald Publishing LimitedChao RenXiaoxing LiuZiyan ZhuKybernetesahead-of-printahead-of-print2023-04-0410.1108/K-10-2022-1396https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1396/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Leveraging employee engagement and creativity through ethical leadership: the role of employee ambidexterity in the hospitality industryhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1403/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe success and long-term survival of service organizations depend on employee behavior such as work engagement and creativity. In this study, The authors intend to investigate employee engagement and creativity in the hospitality industry based on the theory of social exchange. In addition, The authors explore the mediating role of employee ambidexterity between ethical leadership and employee work engagement and between ethical leadership and employee creativity. Through an online survey questionnaire, data were collected from 246 workers in the hospitality industry in Pakistan. Smart-PLS version 3 was used to analyze the data. The results of the structural equation modeling reveal that ethical leadership has a positive association with work engagement and employee creativity in the hospitality industry. Results further reveal that employee ambidexterity significantly mediates the relationships between ethical leadership and work engagement and between ethical leadership and employee creativity. This study not only makes an important contribution to the literature on the role of employee ambidexterity in the hospitality industry but will also help service businesses in managing their employees more effectively.Leveraging employee engagement and creativity through ethical leadership: the role of employee ambidexterity in the hospitality industry
Chenxing Wang, Bena Ilyas, Guqang Ni, Muhammad Imran Rasheed
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The success and long-term survival of service organizations depend on employee behavior such as work engagement and creativity. In this study, The authors intend to investigate employee engagement and creativity in the hospitality industry based on the theory of social exchange. In addition, The authors explore the mediating role of employee ambidexterity between ethical leadership and employee work engagement and between ethical leadership and employee creativity.

Through an online survey questionnaire, data were collected from 246 workers in the hospitality industry in Pakistan. Smart-PLS version 3 was used to analyze the data.

The results of the structural equation modeling reveal that ethical leadership has a positive association with work engagement and employee creativity in the hospitality industry. Results further reveal that employee ambidexterity significantly mediates the relationships between ethical leadership and work engagement and between ethical leadership and employee creativity.

This study not only makes an important contribution to the literature on the role of employee ambidexterity in the hospitality industry but will also help service businesses in managing their employees more effectively.

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Leveraging employee engagement and creativity through ethical leadership: the role of employee ambidexterity in the hospitality industry10.1108/K-10-2022-1403Kybernetes2023-08-29© 2023 Emerald Publishing LimitedChenxing WangBena IlyasGuqang NiMuhammad Imran RasheedKybernetesahead-of-printahead-of-print2023-08-2910.1108/K-10-2022-1403https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1403/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Designing a post-disaster humanitarian supply chain using machine learning and multi-criteria decision-making techniqueshttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1404/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestEvery day, small and big incidents happen all over the world, and given the human, financial and spiritual damage they cause, proper planning should be sought to deal with them so they can be appropriately managed in times of crisis. This study aims to examine humanitarian supply chain models. A new model is developed to pursue the necessary relations in an optimal way that will minimize human, financial and moral losses. In this developed model, in order to optimize the problem and minimize the amount of human and financial losses, the following subjects have been applied: magnitude of the areas in which an accident may occur as obtained by multiple attribute decision-making methods, the distances between relief centers, the number of available rescuers, the number of rescuers required and the risk level of each patient which is determined using previous data and machine learning (ML) algorithms. For this purpose, a case study in the east of Tehran has been conducted. According to the results obtained from the algorithms, problem modeling and case study, the accuracy of the proposed model is evaluated very well. Obtaining each injured person's priority using ML techniques and each area's importance or risk level, besides developing a bi-objective mathematical model and using multiple attribute decision-making methods, make this study unique among very few studies that concern ML in the humanitarian supply chain. Moreover, the findings validate the results and the model's functionality very well.Designing a post-disaster humanitarian supply chain using machine learning and multi-criteria decision-making techniques
Hossein Shakibaei, Mohammad Reza Farhadi-Ramin, Mohammad Alipour-Vaezi, Amir Aghsami, Masoud Rabbani
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Every day, small and big incidents happen all over the world, and given the human, financial and spiritual damage they cause, proper planning should be sought to deal with them so they can be appropriately managed in times of crisis. This study aims to examine humanitarian supply chain models.

A new model is developed to pursue the necessary relations in an optimal way that will minimize human, financial and moral losses. In this developed model, in order to optimize the problem and minimize the amount of human and financial losses, the following subjects have been applied: magnitude of the areas in which an accident may occur as obtained by multiple attribute decision-making methods, the distances between relief centers, the number of available rescuers, the number of rescuers required and the risk level of each patient which is determined using previous data and machine learning (ML) algorithms.

For this purpose, a case study in the east of Tehran has been conducted. According to the results obtained from the algorithms, problem modeling and case study, the accuracy of the proposed model is evaluated very well.

Obtaining each injured person's priority using ML techniques and each area's importance or risk level, besides developing a bi-objective mathematical model and using multiple attribute decision-making methods, make this study unique among very few studies that concern ML in the humanitarian supply chain. Moreover, the findings validate the results and the model's functionality very well.

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Designing a post-disaster humanitarian supply chain using machine learning and multi-criteria decision-making techniques10.1108/K-10-2022-1404Kybernetes2023-03-01© 2023 Emerald Publishing LimitedHossein ShakibaeiMohammad Reza Farhadi-RaminMohammad Alipour-VaeziAmir AghsamiMasoud RabbaniKybernetesahead-of-printahead-of-print2023-03-0110.1108/K-10-2022-1404https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1404/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Developing a scale for psychological ownership in the tourism industryhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1411/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe present study aims to identify the dimensions of destination psychological ownership (DPO) from tourists’ perspectives and to develop a reliable and valid measurement scale. The mixed method has been applied in this study for the development of a scale to measure psychological ownership (PO) of tourists. The first stage includes identifying the PO dimensions of tourists toward the tourist destinations through in-depth interviews with experts (university professors, managers and experts in the tourism industry). Theme analysis was applied to analyze the data in this stage. A quantitative survey was conducted among tourists during the second stage. Accordingly, a questionnaire was designed and its reliability and validity were investigated. Confirmatory factor analysis and structural equation modeling were used to examine the structural model and its validity. The findings revealed that the DPO from tourists’ perspectives includes six dimensions for the sense of attachment, responsibility, the sense of trust, the sense of honor, the sense of gratification and self-identity toward tourist destinations. The validity of the conceptual model was confirmed according to the results of the quantitative section of the study. The present study is one of the limited numbers of studies coping with PO, especially in the field of tourism, from the view of the consumer. The present study identifies the dimensions of the DPO of tourists and develops an instrument to measure them. Therefore, the developed questionnaire can be used as a valid and reliable instrument to measure the DPO in future research.Developing a scale for psychological ownership in the tourism industry
Zohre Farzinfar, Amirreza Konjkav Monfared, Seyed Mohammad Tabataba’i-Nasab
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The present study aims to identify the dimensions of destination psychological ownership (DPO) from tourists’ perspectives and to develop a reliable and valid measurement scale.

The mixed method has been applied in this study for the development of a scale to measure psychological ownership (PO) of tourists. The first stage includes identifying the PO dimensions of tourists toward the tourist destinations through in-depth interviews with experts (university professors, managers and experts in the tourism industry). Theme analysis was applied to analyze the data in this stage. A quantitative survey was conducted among tourists during the second stage. Accordingly, a questionnaire was designed and its reliability and validity were investigated. Confirmatory factor analysis and structural equation modeling were used to examine the structural model and its validity.

The findings revealed that the DPO from tourists’ perspectives includes six dimensions for the sense of attachment, responsibility, the sense of trust, the sense of honor, the sense of gratification and self-identity toward tourist destinations. The validity of the conceptual model was confirmed according to the results of the quantitative section of the study.

The present study is one of the limited numbers of studies coping with PO, especially in the field of tourism, from the view of the consumer. The present study identifies the dimensions of the DPO of tourists and develops an instrument to measure them. Therefore, the developed questionnaire can be used as a valid and reliable instrument to measure the DPO in future research.

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Developing a scale for psychological ownership in the tourism industry10.1108/K-10-2022-1411Kybernetes2023-04-04© 2023 Emerald Publishing LimitedZohre FarzinfarAmirreza Konjkav MonfaredSeyed Mohammad Tabataba’i-NasabKybernetesahead-of-printahead-of-print2023-04-0410.1108/K-10-2022-1411https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1411/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Rearing cost, endowment insurance and fertility desirehttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1418/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research studies the influence and mechanism of rearing cost and endowment insurance on family fertility desire from the micro perspective. Through the construction of overlapping generations (OLG) model and on the basis of this research purpose, the research hypothesis proposed by the theoretical model is tested by using the data of China household tracking survey (CFPS). (1) Endowment insurance has an inhibitory effect on family fertility desire. The marginal effects of participating in old-age insurance on total fertility desire and boy fertility desire are – 3.2% and – 3.6% respectively. (2) The cost of rearing has a significant negative impact on family fertility desire. (3) There is regional heterogeneity in the impact of endowment insurance and rearing cost on fertility desire. (4) There is no significant difference in the impact of endowment insurance on fertility desire between urban and rural areas. This research tries to fill the gap existing in the international literature by analyzing the micro mechanism of the influence degree of upbringing cost on fertility desire by introducing the rearing cost and fertility rate into the OLG, providing a micro basis for relevant quantitative calculation.Rearing cost, endowment insurance and fertility desire
Qingjie Zhang, Xinbang Cao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research studies the influence and mechanism of rearing cost and endowment insurance on family fertility desire from the micro perspective.

Through the construction of overlapping generations (OLG) model and on the basis of this research purpose, the research hypothesis proposed by the theoretical model is tested by using the data of China household tracking survey (CFPS).

(1) Endowment insurance has an inhibitory effect on family fertility desire. The marginal effects of participating in old-age insurance on total fertility desire and boy fertility desire are – 3.2% and – 3.6% respectively. (2) The cost of rearing has a significant negative impact on family fertility desire. (3) There is regional heterogeneity in the impact of endowment insurance and rearing cost on fertility desire. (4) There is no significant difference in the impact of endowment insurance on fertility desire between urban and rural areas.

This research tries to fill the gap existing in the international literature by analyzing the micro mechanism of the influence degree of upbringing cost on fertility desire by introducing the rearing cost and fertility rate into the OLG, providing a micro basis for relevant quantitative calculation.

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Rearing cost, endowment insurance and fertility desire10.1108/K-10-2022-1418Kybernetes2023-07-11© 2023 Emerald Publishing LimitedQingjie ZhangXinbang CaoKybernetesahead-of-printahead-of-print2023-07-1110.1108/K-10-2022-1418https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1418/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The nexus between empowering leadership, job engagement and employee creativity: role of creative self-efficacy in the hospitality industryhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1425/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to examine job engagement and creativity of employees in the hospitality industry of Pakistan as outcomes of empowering leadership through the mediating role of creative self-efficacy. An electronic survey was conducted to collect data from 373 employees of food-chain restaurants in Pakistan. The data was analyzed by applying structural equation modeling (SEM) through Smart PLS 3. Results indicated that empowering leadership has a positive association with job engagement and employee creativity in the hospitality industry. Further, creative self-efficacy has been found as mediating the relationship of empowering leadership with job engagement and employee creativity. The study has substantial implications for the employees, managers and organizations of the hospitality industry as well as for the scholars of services industry research.The nexus between empowering leadership, job engagement and employee creativity: role of creative self-efficacy in the hospitality industry
Michael Yao Ping Peng, Zhidong Liang, Ishrat Fatima, Qian Wang, Muhammad Imran Rasheed
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to examine job engagement and creativity of employees in the hospitality industry of Pakistan as outcomes of empowering leadership through the mediating role of creative self-efficacy.

An electronic survey was conducted to collect data from 373 employees of food-chain restaurants in Pakistan. The data was analyzed by applying structural equation modeling (SEM) through Smart PLS 3.

Results indicated that empowering leadership has a positive association with job engagement and employee creativity in the hospitality industry. Further, creative self-efficacy has been found as mediating the relationship of empowering leadership with job engagement and employee creativity.

The study has substantial implications for the employees, managers and organizations of the hospitality industry as well as for the scholars of services industry research.

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The nexus between empowering leadership, job engagement and employee creativity: role of creative self-efficacy in the hospitality industry10.1108/K-10-2022-1425Kybernetes2023-05-12© 2023 Emerald Publishing LimitedMichael Yao Ping PengZhidong LiangIshrat FatimaQian WangMuhammad Imran RasheedKybernetesahead-of-printahead-of-print2023-05-1210.1108/K-10-2022-1425https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1425/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Risk state evaluation model for China's food import using G1-LS and variable weight SPA based on bottom-line thinkinghttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1426/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTo maintain the bottom line of food import risk in China, this paper proposes a novel risk state evaluation model based on bottom-line thinking after analyzing the decision-making ideas embedded in the bottom-line thinking method. First, the order relation analysis method (G1 method) and Laplacian score (LS) are applied to calculate the constant weights of indexes. Then, the worst-case scenario of food import risk can be estimated to strive for the best result, so the penalty state variable weight function is introduced to obtain variable weights of indexes. Finally, the study measures the risk state of China's food import from the overall situation using the set pair analysis (SPA) method and identifies the key factors affecting food import risk. The risk states of food supply in eight countries are in the state of average potential and partial back potential as a whole. The results indicate that China's food import risks are at medium and upper-medium risk levels in most years, fluctuating slightly from 2010 to 2020. In addition, some factors are diagnosed as the primary control objects for holding the bottom line of food import risk in China, including food output level, food export capacity, bilateral relationship and political risk. This paper proposes a novel risk state evaluation model following bottom-line thinking for food import risk in China. Besides, SPA is first applied to the risk evaluation of food import, expanding the application field of the SPA method.Risk state evaluation model for China's food import using G1-LS and variable weight SPA based on bottom-line thinking
Ping Li, Zhipeng Chang, Wenhe Chen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

To maintain the bottom line of food import risk in China, this paper proposes a novel risk state evaluation model based on bottom-line thinking after analyzing the decision-making ideas embedded in the bottom-line thinking method.

First, the order relation analysis method (G1 method) and Laplacian score (LS) are applied to calculate the constant weights of indexes. Then, the worst-case scenario of food import risk can be estimated to strive for the best result, so the penalty state variable weight function is introduced to obtain variable weights of indexes. Finally, the study measures the risk state of China's food import from the overall situation using the set pair analysis (SPA) method and identifies the key factors affecting food import risk.

The risk states of food supply in eight countries are in the state of average potential and partial back potential as a whole. The results indicate that China's food import risks are at medium and upper-medium risk levels in most years, fluctuating slightly from 2010 to 2020. In addition, some factors are diagnosed as the primary control objects for holding the bottom line of food import risk in China, including food output level, food export capacity, bilateral relationship and political risk.

This paper proposes a novel risk state evaluation model following bottom-line thinking for food import risk in China. Besides, SPA is first applied to the risk evaluation of food import, expanding the application field of the SPA method.

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Risk state evaluation model for China's food import using G1-LS and variable weight SPA based on bottom-line thinking10.1108/K-10-2022-1426Kybernetes2023-04-17© 2023 Emerald Publishing LimitedPing LiZhipeng ChangWenhe ChenKybernetesahead-of-printahead-of-print2023-04-1710.1108/K-10-2022-1426https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1426/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Empirically investigating the organizational identity mechanism of empowering leadership affecting the innovation performance of knowledge workershttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1429/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe authors examined how the identification mechanism of the innovation performance of knowledge employees is affected by empowering leadership by influencing the organizational identification and the moderating effect of leaders on the role expectation of knowledge employees as an essential innovation subject. The authors employed a mixed-method research approach. The authors collected data from 378 knowledge employees and managers in 20 companies in China's Yangtze River Delta cities. The authors analyzed data using multiple regression analysis forecasting methods. The authors found that there was an inverted U-shaped relationship between empowering leadership and the innovation performance of knowledge employees; organizational identity played a partial mediating role between empowering leadership and the innovation performance of knowledge employees; role expectation of leaders on the innovation behavior of employees regulated the relationship between the organizational identity and innovation performance of knowledge employees. This study extends the literature on empowering leadership and innovation performance. This study empirically examines the mediating effect of organizational identity between empowering leadership and innovation performance. In addition, this study empirically examines how empowered leaders' expected innovation level moderates the association between organizational identity and innovation performance.Empirically investigating the organizational identity mechanism of empowering leadership affecting the innovation performance of knowledge workers
Huafei Wei, Jun Chen, Muhammad Adnan Zahid Chudhery, Wenjie Fang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The authors examined how the identification mechanism of the innovation performance of knowledge employees is affected by empowering leadership by influencing the organizational identification and the moderating effect of leaders on the role expectation of knowledge employees as an essential innovation subject.

The authors employed a mixed-method research approach. The authors collected data from 378 knowledge employees and managers in 20 companies in China's Yangtze River Delta cities. The authors analyzed data using multiple regression analysis forecasting methods.

The authors found that there was an inverted U-shaped relationship between empowering leadership and the innovation performance of knowledge employees; organizational identity played a partial mediating role between empowering leadership and the innovation performance of knowledge employees; role expectation of leaders on the innovation behavior of employees regulated the relationship between the organizational identity and innovation performance of knowledge employees.

This study extends the literature on empowering leadership and innovation performance. This study empirically examines the mediating effect of organizational identity between empowering leadership and innovation performance. In addition, this study empirically examines how empowered leaders' expected innovation level moderates the association between organizational identity and innovation performance.

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Empirically investigating the organizational identity mechanism of empowering leadership affecting the innovation performance of knowledge workers10.1108/K-10-2022-1429Kybernetes2023-08-15© 2023 Emerald Publishing LimitedHuafei WeiJun ChenMuhammad Adnan Zahid ChudheryWenjie FangKybernetesahead-of-printahead-of-print2023-08-1510.1108/K-10-2022-1429https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1429/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Understanding consumer behavior toward adoption of e-wallet with the moderating role of pandemic risk: an integrative perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1431/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestOver the last few decades, electronic banking has been used widely to manage financial transactions worldwide. More recently electronic wallet (e-wallet) banking has been identified as an innovative mode of e-payment and enhances e-banking customer experience. Although e-wallet banking service is more secure, fast, convenient and cost effective, compared to conventional web-based banking, adoption of e-wallet application is limited among e-banking consumers. To address this issue, the current study has conceptualized task technology fit (TTF) model, diffusion of innovation (DOI) theory and protection motivation theory towards adoption of e-wallet service. Moreover, pandemic risk is studied as moderating factor between the relationship of e-wallet and use of e-wallet banking among banking consumers. The research design of this study is based on positivism research paradigm. This study is cross-sectional and used deductive level of theory to formulate hypotheses. Research survey was conducted towards e-banking users. For statistical findings research framework is tested with 280 numerical responses. Data are estimated through partial least square structural equation modeling (PLS-SEM) approach. Statistical results demonstrates that collectively factors underpinned protection motivation theory, TTF and DOI have shown large variance R2 65.7% in adoption of e-wallet. The effect size f2 analysis has revealed that compatibility is one of the most influential factors in determining individual behavior to adopt e-wallet. Similarly, Geisser and Stone Q2 analysis has disclosed substantial predictive power to predict adoption and use of e-wallet service. Theoretically, this study integrates protection motivation theory, DOI theory and TTF model toward adoption of e-wallet service and hence contributes to information system literature. To practice this, research has suggested that factors such as pandemic risk, perceived severity and compatibility are most influential factors and hence need policy makers' attention to boost e-wallet adoption. This study is original as the study develops an integrative research model to investigate e-banking user behavior to adopt of e-wallet service. Moreover, pandemic risk is tested as moderating factor between adoption and use of e-wallet which, in turn, enhance the value of this study and directs how to deal with existing and future pandemic crisis.Understanding consumer behavior toward adoption of e-wallet with the moderating role of pandemic risk: an integrative perspective
Samar Rahi, Mahmoud Alghizzawi, Abdul Hafaz Ngah
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Over the last few decades, electronic banking has been used widely to manage financial transactions worldwide. More recently electronic wallet (e-wallet) banking has been identified as an innovative mode of e-payment and enhances e-banking customer experience. Although e-wallet banking service is more secure, fast, convenient and cost effective, compared to conventional web-based banking, adoption of e-wallet application is limited among e-banking consumers. To address this issue, the current study has conceptualized task technology fit (TTF) model, diffusion of innovation (DOI) theory and protection motivation theory towards adoption of e-wallet service. Moreover, pandemic risk is studied as moderating factor between the relationship of e-wallet and use of e-wallet banking among banking consumers.

The research design of this study is based on positivism research paradigm. This study is cross-sectional and used deductive level of theory to formulate hypotheses. Research survey was conducted towards e-banking users. For statistical findings research framework is tested with 280 numerical responses. Data are estimated through partial least square structural equation modeling (PLS-SEM) approach.

Statistical results demonstrates that collectively factors underpinned protection motivation theory, TTF and DOI have shown large variance R2 65.7% in adoption of e-wallet. The effect size f2 analysis has revealed that compatibility is one of the most influential factors in determining individual behavior to adopt e-wallet. Similarly, Geisser and Stone Q2 analysis has disclosed substantial predictive power to predict adoption and use of e-wallet service.

Theoretically, this study integrates protection motivation theory, DOI theory and TTF model toward adoption of e-wallet service and hence contributes to information system literature. To practice this, research has suggested that factors such as pandemic risk, perceived severity and compatibility are most influential factors and hence need policy makers' attention to boost e-wallet adoption.

This study is original as the study develops an integrative research model to investigate e-banking user behavior to adopt of e-wallet service. Moreover, pandemic risk is tested as moderating factor between adoption and use of e-wallet which, in turn, enhance the value of this study and directs how to deal with existing and future pandemic crisis.

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Understanding consumer behavior toward adoption of e-wallet with the moderating role of pandemic risk: an integrative perspective10.1108/K-10-2022-1431Kybernetes2023-07-31© 2023 Emerald Publishing LimitedSamar RahiMahmoud AlghizzawiAbdul Hafaz NgahKybernetesahead-of-printahead-of-print2023-07-3110.1108/K-10-2022-1431https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1431/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Metaverse office: exploring future teleworking modelhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1432/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to explore the application scenarios of metaverse offices in organizations, including immersive work experiences, weak social networks and virtual meetings. Based on the exploration of this application scenario, this study discusses four levels of organizational change that will be brought about by the future metaverse office, such as the inter-enterprise ecological collaboration model, distributed autonomous organization, flexible leadership and individual belongingness. The metaverse office has some special advantages over traditional office models, but the metaverse office still raises some issues, such as privacy, security, addiction, equity and usability. These issues brake the widespread adoption of metaverse technologies. The study recommends that researchers take these issues into account in future metaverse research and development. This study surveys the relevant literature by means of a literature review in order to analyze how metaverse technology can be applied to teleworking. Two databases including Web of Science (https://www.webofscience.com/) and Google Scholar (http://scholar.google.com) were selected for this study. Keywords such as “teleworking and metaverse” were used, and 18 publications were found to be relevant to the study. After excluding duplicates, less relevant and older literature, only 14 articles could be used as references for this study. Based on the exploration of this application scenario, this study discusses four levels of organizational change and issues that will be brought about by the metaverse office of the future. It presents the application scenarios of the metaverse office in organizations, including immersive work experience, weak social networking and virtual meetings. The pandemic triggers a desire for contactless working. The three main applications of the metaverse office also have a practical value which has been proven in some high-tech companies. It is foreseeable that an efficient, electronic and personalized office model will be enthusiastically adopted by society. Metaverse office will gradually step into people's view in the future. The concept of the metaverse office has rarely been touched upon by theoretical research, although the technology is gradually becoming known. Even its application to teleworking has only recently been reached by some organizations.Metaverse office: exploring future teleworking model
Zhisheng Chen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to explore the application scenarios of metaverse offices in organizations, including immersive work experiences, weak social networks and virtual meetings. Based on the exploration of this application scenario, this study discusses four levels of organizational change that will be brought about by the future metaverse office, such as the inter-enterprise ecological collaboration model, distributed autonomous organization, flexible leadership and individual belongingness. The metaverse office has some special advantages over traditional office models, but the metaverse office still raises some issues, such as privacy, security, addiction, equity and usability. These issues brake the widespread adoption of metaverse technologies. The study recommends that researchers take these issues into account in future metaverse research and development.

This study surveys the relevant literature by means of a literature review in order to analyze how metaverse technology can be applied to teleworking. Two databases including Web of Science (https://www.webofscience.com/) and Google Scholar (http://scholar.google.com) were selected for this study. Keywords such as “teleworking and metaverse” were used, and 18 publications were found to be relevant to the study. After excluding duplicates, less relevant and older literature, only 14 articles could be used as references for this study. Based on the exploration of this application scenario, this study discusses four levels of organizational change and issues that will be brought about by the metaverse office of the future.

It presents the application scenarios of the metaverse office in organizations, including immersive work experience, weak social networking and virtual meetings.

The pandemic triggers a desire for contactless working. The three main applications of the metaverse office also have a practical value which has been proven in some high-tech companies. It is foreseeable that an efficient, electronic and personalized office model will be enthusiastically adopted by society. Metaverse office will gradually step into people's view in the future.

The concept of the metaverse office has rarely been touched upon by theoretical research, although the technology is gradually becoming known. Even its application to teleworking has only recently been reached by some organizations.

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Metaverse office: exploring future teleworking model10.1108/K-10-2022-1432Kybernetes2023-02-28© 2023 Emerald Publishing LimitedZhisheng ChenKybernetesahead-of-printahead-of-print2023-02-2810.1108/K-10-2022-1432https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1432/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Study the supplier evaluation and selection in supply chain disruption risk based on regret theory and VIKOR methodhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1450/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the supply chain disruption risk, the issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory. Considering the influence of irrational emotions of decision makers, an evaluation model is designed by the regret theory and VIKOR method, which makes the decision-making process closer to reality. The paper has some innovations in the evaluation index system and evaluation model construction. The method has good stability under the risk of supply chain interruption. The mixed evaluation information is used to describe the attributes, and the evaluation index system is constructed by the combined method of the social network analysis method and the literature research method to ensure the accuracy and accuracy of the extracted attributes. The issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory.Study the supplier evaluation and selection in supply chain disruption risk based on regret theory and VIKOR method
Nian Zhang, Shuo Zheng, Lingyuan Tian, Guiwu Wei
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the supply chain disruption risk, the issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory.

Considering the influence of irrational emotions of decision makers, an evaluation model is designed by the regret theory and VIKOR method, which makes the decision-making process closer to reality.

The paper has some innovations in the evaluation index system and evaluation model construction. The method has good stability under the risk of supply chain interruption.

The mixed evaluation information is used to describe the attributes, and the evaluation index system is constructed by the combined method of the social network analysis method and the literature research method to ensure the accuracy and accuracy of the extracted attributes. The issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory.

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Study the supplier evaluation and selection in supply chain disruption risk based on regret theory and VIKOR method10.1108/K-10-2022-1450Kybernetes2023-06-09© 2023 Emerald Publishing LimitedNian ZhangShuo ZhengLingyuan TianGuiwu WeiKybernetesahead-of-printahead-of-print2023-06-0910.1108/K-10-2022-1450https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1450/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Dynamic evolution of the relationship quality among participants in integrated project delivery: based on supply chain theoryhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1452/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe core of the successful implementation of the integrated project delivery (IPD) mode is to establish a high-quality relationship of cooperation, trust and sharing among participants. This paper proposes recommendations to improve the relationship quality of participants from the owner's perspective. The results provide the theoretical basis and practical guidance for the popularization and application of the IPD mode. This paper analyzes the dynamic relationship among participants in IPD mode based on supply chain theory and similarity theory. A tripartite game model of the owner, designer and the contractor is constructed to obtain the evolutionary equilibrium strategies under different parameter constraints. Then, numerical simulations under various scenarios are conducted to explore the dynamic evolution and the influencing factors of the relationship quality among the participant in the IPD mode. The results show that (1) the relationship quality under certain conditions gradually improves as the project progresses until stable and high-quality cooperation is formed and (2) the owner's positive supervision cost, the distribution coefficient of incentive and punishment of participants and the scale of incentive pool are important factors influencing the relationship quality. This study incorporates the following three innovations. First, analyzing the relationship quality among the participants of IPD mode based on supply chain theory. Second, the evolutionary game theory is applied to the relationship quality analysis. Third, conclusion innovation. The authors conclude that the relationship quality may progress, decrease or cycle with the progress of the project and targeted recommendations are presented based on the results.Dynamic evolution of the relationship quality among participants in integrated project delivery: based on supply chain theory
Shenghua Yan, Weigong Chen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The core of the successful implementation of the integrated project delivery (IPD) mode is to establish a high-quality relationship of cooperation, trust and sharing among participants. This paper proposes recommendations to improve the relationship quality of participants from the owner's perspective. The results provide the theoretical basis and practical guidance for the popularization and application of the IPD mode.

This paper analyzes the dynamic relationship among participants in IPD mode based on supply chain theory and similarity theory. A tripartite game model of the owner, designer and the contractor is constructed to obtain the evolutionary equilibrium strategies under different parameter constraints. Then, numerical simulations under various scenarios are conducted to explore the dynamic evolution and the influencing factors of the relationship quality among the participant in the IPD mode.

The results show that (1) the relationship quality under certain conditions gradually improves as the project progresses until stable and high-quality cooperation is formed and (2) the owner's positive supervision cost, the distribution coefficient of incentive and punishment of participants and the scale of incentive pool are important factors influencing the relationship quality.

This study incorporates the following three innovations. First, analyzing the relationship quality among the participants of IPD mode based on supply chain theory. Second, the evolutionary game theory is applied to the relationship quality analysis. Third, conclusion innovation. The authors conclude that the relationship quality may progress, decrease or cycle with the progress of the project and targeted recommendations are presented based on the results.

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Dynamic evolution of the relationship quality among participants in integrated project delivery: based on supply chain theory10.1108/K-10-2022-1452Kybernetes2023-04-14© 2023 Emerald Publishing LimitedShenghua YanWeigong ChenKybernetesahead-of-printahead-of-print2023-04-1410.1108/K-10-2022-1452https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1452/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Network analysis of innovation mentor community of practicehttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1479/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestPositive effect of knowledge sharing (KS) on innovation has come to the fore and government-supported innovation and mentoring communities or mentor networks have become widespread. This article aims to examine the community connectedness and mentors' preferences for professional competency-based KS of such innovation community of practice networks (CoPNs). The paper constructs a directed weighted CoPN model with a node-attribute-based novel fingerprint edge weights. Based on the CoPN, Social Network Analysis (SNA) metrics and measures including Giant Component (GC) were proposed and analyzed to identify mentors' connectedness preferences. The fingerprint was proposed as a novel binarized node attribute of competence. Jaccard similarity of fingerprints was proposed as edge weights to reveal correlations between competences and preferences for KS. The work opted to conduct a survey of 28 innovation mentors to measure a CoPN. Both a name generator question and a second set of questions were employed to invite respondents to name their collaborators and indicate their professional competence. SNA metrics result in differing values for GC and the rest, which lead us to focus on GC to reveal salient metrics of connectedness. Jaccard similarity analysis results on GC demonstrate that mentors collaborate in an interdisciplinary manner. Based on the CoPN, the methods proposed may be effective in predicting preferred relationships for interdisciplinary collaborations, providing the managers with an analytical decision support tool for KS in practice.Network analysis of innovation mentor community of practice
Gunda Esra Altinisik, Mehmet Nafiz Aydin, Ziya Nazim Perdahci, Merih Pasin
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Positive effect of knowledge sharing (KS) on innovation has come to the fore and government-supported innovation and mentoring communities or mentor networks have become widespread. This article aims to examine the community connectedness and mentors' preferences for professional competency-based KS of such innovation community of practice networks (CoPNs).

The paper constructs a directed weighted CoPN model with a node-attribute-based novel fingerprint edge weights. Based on the CoPN, Social Network Analysis (SNA) metrics and measures including Giant Component (GC) were proposed and analyzed to identify mentors' connectedness preferences. The fingerprint was proposed as a novel binarized node attribute of competence. Jaccard similarity of fingerprints was proposed as edge weights to reveal correlations between competences and preferences for KS.

The work opted to conduct a survey of 28 innovation mentors to measure a CoPN. Both a name generator question and a second set of questions were employed to invite respondents to name their collaborators and indicate their professional competence. SNA metrics result in differing values for GC and the rest, which lead us to focus on GC to reveal salient metrics of connectedness. Jaccard similarity analysis results on GC demonstrate that mentors collaborate in an interdisciplinary manner.

Based on the CoPN, the methods proposed may be effective in predicting preferred relationships for interdisciplinary collaborations, providing the managers with an analytical decision support tool for KS in practice.

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Network analysis of innovation mentor community of practice10.1108/K-10-2022-1479Kybernetes2023-04-04© 2023 Emerald Publishing LimitedGunda Esra AltinisikMehmet Nafiz AydinZiya Nazim PerdahciMerih PasinKybernetesahead-of-printahead-of-print2023-04-0410.1108/K-10-2022-1479https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1479/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Weight-based teasing and depressive symptoms among Indian college students: exploring the moderating effect of gratitudehttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1486/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis instant study explores the relationship between weight-based teasing and depressive symptoms in Indian college students. It further investigates the moderating effect of gratitude on depressive symptoms occurring due to weight-based teasing. The study is theoretically based on Fredrickson's broaden-and-built theory (2001). PROCESS macro in IBM SPSS v21 was used to analyze the effect of gratitude in moderation of weight-based teasing and depressive symptoms. The study used correlation and regression analysis to assess the relationship between weight-based teasing and depressive symptoms. The study has confirmed that weight-based teasing results in the development of depressive symptoms in Indian college students. The study has also revealed that gratitude casts a significant moderating effect on depression due to weight-based teasing, i.e. a reduction in regression weight of weight-based teasing. This study is the first of its kind in India and will significantly add to the national literature on teasing and depression. Further, the study will help stakeholders like educators and policymakers to formulate psychological programs based on positive psychology 2.0 and gratitude to combat the rising issue of body shaming in India.Weight-based teasing and depressive symptoms among Indian college students: exploring the moderating effect of gratitude
Suhans Bansal, Naval Garg, Jagvinder Singh
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This instant study explores the relationship between weight-based teasing and depressive symptoms in Indian college students. It further investigates the moderating effect of gratitude on depressive symptoms occurring due to weight-based teasing.

The study is theoretically based on Fredrickson's broaden-and-built theory (2001). PROCESS macro in IBM SPSS v21 was used to analyze the effect of gratitude in moderation of weight-based teasing and depressive symptoms. The study used correlation and regression analysis to assess the relationship between weight-based teasing and depressive symptoms.

The study has confirmed that weight-based teasing results in the development of depressive symptoms in Indian college students. The study has also revealed that gratitude casts a significant moderating effect on depression due to weight-based teasing, i.e. a reduction in regression weight of weight-based teasing.

This study is the first of its kind in India and will significantly add to the national literature on teasing and depression. Further, the study will help stakeholders like educators and policymakers to formulate psychological programs based on positive psychology 2.0 and gratitude to combat the rising issue of body shaming in India.

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Weight-based teasing and depressive symptoms among Indian college students: exploring the moderating effect of gratitude10.1108/K-10-2022-1486Kybernetes2023-03-14© 2023 Emerald Publishing LimitedSuhans BansalNaval GargJagvinder SinghKybernetesahead-of-printahead-of-print2023-03-1410.1108/K-10-2022-1486https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1486/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The encroachment strategy under eco-innovation collaboration with delayed realized efficiency informationhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1491/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestEco-innovation products, which means achieving more efficient and responsible use of resources and reducing the detrimental impact on the environment, can win a competitive advantage for the enterprises. But it is not easy to implement due to the high cost of eco-innovative technologies development, the uncertainty of market needs and return risk of investment. Many enterprises seek collaborations from their upstream suppliers to jointly carry out eco-innovation, such as Apple, IBM and Nike. A unique feature of collaboration is that efforts by one party enhance the marginal value of the other party's efforts. However, the collaboration will make the partner know the eco-innovation technology and prompt the partner to encroach the market to sell competitive products by herself. Motivated by this observation, this paper considers the optimal collaboration strategy on eco-innovation between upstream and downstream supply chain member and the optimal encroachment strategy of upstream supplier in a supply chain. This paper models a supply chain wherein a supplier provides products or materials for her manufacturer and cooperates with her manufacturer in eco-innovation. Also, the supplier could encroach on the market to sell similar products by herself. Then this paper uses game theory and mathematical modeling to do relative analysis. The analysis reveals several interesting insights. First, eco-innovation collaboration makes supplier encroachment no longer only rely on the encroachment cost. The delayed realized eco-innovation efficiency information also plays a vital role. Second, different from previous research, the authors find the manufacturer's preference for supplier encroachment depends on the uncertainty of eco-innovation efficiency and potential market demand. Third, both partial and full encroachment strategies of the supplier can effectively improve the eco-innovation level. The paper is the first to take the interplay between collaboration and encroachment into account in a supply chain. The results caution enterprises and policymakers to take vertical collaboration and delayed realized information into account in the competitive supply chain before making any operational decisions. Furthermore, the authors propose that governmental intervention aimed at stimulating supplier encroachment in appropriate circumstances can contribute to the improved environmental performance of products.The encroachment strategy under eco-innovation collaboration with delayed realized efficiency information
Yating Li, Ting Chen, Xinxin Zhang, Jiahang Yuan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Eco-innovation products, which means achieving more efficient and responsible use of resources and reducing the detrimental impact on the environment, can win a competitive advantage for the enterprises. But it is not easy to implement due to the high cost of eco-innovative technologies development, the uncertainty of market needs and return risk of investment. Many enterprises seek collaborations from their upstream suppliers to jointly carry out eco-innovation, such as Apple, IBM and Nike. A unique feature of collaboration is that efforts by one party enhance the marginal value of the other party's efforts. However, the collaboration will make the partner know the eco-innovation technology and prompt the partner to encroach the market to sell competitive products by herself. Motivated by this observation, this paper considers the optimal collaboration strategy on eco-innovation between upstream and downstream supply chain member and the optimal encroachment strategy of upstream supplier in a supply chain.

This paper models a supply chain wherein a supplier provides products or materials for her manufacturer and cooperates with her manufacturer in eco-innovation. Also, the supplier could encroach on the market to sell similar products by herself. Then this paper uses game theory and mathematical modeling to do relative analysis.

The analysis reveals several interesting insights. First, eco-innovation collaboration makes supplier encroachment no longer only rely on the encroachment cost. The delayed realized eco-innovation efficiency information also plays a vital role. Second, different from previous research, the authors find the manufacturer's preference for supplier encroachment depends on the uncertainty of eco-innovation efficiency and potential market demand. Third, both partial and full encroachment strategies of the supplier can effectively improve the eco-innovation level.

The paper is the first to take the interplay between collaboration and encroachment into account in a supply chain. The results caution enterprises and policymakers to take vertical collaboration and delayed realized information into account in the competitive supply chain before making any operational decisions. Furthermore, the authors propose that governmental intervention aimed at stimulating supplier encroachment in appropriate circumstances can contribute to the improved environmental performance of products.

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The encroachment strategy under eco-innovation collaboration with delayed realized efficiency information10.1108/K-10-2022-1491Kybernetes2023-10-23© 2023 Emerald Publishing LimitedYating LiTing ChenXinxin ZhangJiahang YuanKybernetesahead-of-printahead-of-print2023-10-2310.1108/K-10-2022-1491https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1491/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Supply portfolio selection for lead-time sensitive manufacturers under operational and disruption riskshttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1493/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper proposes a two-level supply chain including suppliers and manufacturers. The purpose of this paper is to design a resilient fuzzy risk-averse supply portfolio selection approach with lead-time sensitive manufacturers under partial and complete supply facility disruption in addition to the operational risk of imprecise demand to minimize the mean-risk costs. This problem is analyzed for a risk-averse decision maker, and the authors use the conditional value-at-risk (CVaR) as a risk measure, which has particular applications in financial engineering. The methodology of the current research includes two phases of conceptual model and mathematical model. In the conceptual model phase, a new supply portfolio selection problem is presented under disruption and operational risks for lead-time sensitive manufacturers and considers resilience strategies for risk-averse decision makers. In the mathematical model phase, the stages of risk-averse two-stage fuzzy-stochastic programming model are formulated according to the above conceptual model, which minimizes the mean-CVaR costs. In this paper, several computational experiments were conducted with sensitivity analysis by GAMS (General algebraic modeling system) software to determine the efficiency and significance of the developed model. Results show that the sensitivity of manufacturers to the lead time as well as the occurrence of disruption and operational risks, significantly affect the structure of the supply portfolio selection; hence, manufacturers should be taken into account in the design of this problem. The study proposes a new two-stage fuzzy-stochastic scenario-based mathematical programming model for the resilient supply portfolio selection for risk-averse decision-makers under disruption and operational risks. This model assumes that the manufacturers are sensitive to lead time, so the demand of manufacturers depends on the suppliers who provide them with services. To manage risks, this model also considers proactive (supplier fortification, pre-positioned emergency inventory) and reactive (revision of allocation decisions) resilience strategies.Supply portfolio selection for lead-time sensitive manufacturers under operational and disruption risks
S.M. Taghavi, V. Ghezavati, H. Mohammadi Bidhandi, S.M.J. Mirzapour Al-e-Hashem
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper proposes a two-level supply chain including suppliers and manufacturers. The purpose of this paper is to design a resilient fuzzy risk-averse supply portfolio selection approach with lead-time sensitive manufacturers under partial and complete supply facility disruption in addition to the operational risk of imprecise demand to minimize the mean-risk costs. This problem is analyzed for a risk-averse decision maker, and the authors use the conditional value-at-risk (CVaR) as a risk measure, which has particular applications in financial engineering.

The methodology of the current research includes two phases of conceptual model and mathematical model. In the conceptual model phase, a new supply portfolio selection problem is presented under disruption and operational risks for lead-time sensitive manufacturers and considers resilience strategies for risk-averse decision makers. In the mathematical model phase, the stages of risk-averse two-stage fuzzy-stochastic programming model are formulated according to the above conceptual model, which minimizes the mean-CVaR costs.

In this paper, several computational experiments were conducted with sensitivity analysis by GAMS (General algebraic modeling system) software to determine the efficiency and significance of the developed model. Results show that the sensitivity of manufacturers to the lead time as well as the occurrence of disruption and operational risks, significantly affect the structure of the supply portfolio selection; hence, manufacturers should be taken into account in the design of this problem.

The study proposes a new two-stage fuzzy-stochastic scenario-based mathematical programming model for the resilient supply portfolio selection for risk-averse decision-makers under disruption and operational risks. This model assumes that the manufacturers are sensitive to lead time, so the demand of manufacturers depends on the suppliers who provide them with services. To manage risks, this model also considers proactive (supplier fortification, pre-positioned emergency inventory) and reactive (revision of allocation decisions) resilience strategies.

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Supply portfolio selection for lead-time sensitive manufacturers under operational and disruption risks10.1108/K-10-2022-1493Kybernetes2023-07-13© 2023 Emerald Publishing LimitedS.M. TaghaviV. GhezavatiH. Mohammadi BidhandiS.M.J. Mirzapour Al-e-HashemKybernetesahead-of-printahead-of-print2023-07-1310.1108/K-10-2022-1493https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1493/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effect of entrepreneurial intentions on depression: the mediating role of job insecurity and moderating roles of person vocation fit, and entrepreneurial leadership in the longitudinal studyhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1496/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe understanding regarding the impact of entrepreneurial intentions on the job insecurity and depression is limited in the longitudinal settings, organizations need to know which factors can be added to decrease the psychological and career issues of visiting or contract employees. Thus, this research aims to investigate the person vocation fit and entrepreneurial leadership as a moderator in the relation of entrepreneurial intentions, job insecurity and depression in within- and between-person level with the time of 4 months' time lag. The data was gathered by using survey method from visiting faculty of universities located in Punjab, in the longitudinal design of 4-wave months and M.plus software was used to do the mediation and moderation analysis. Results revealed that job insecurity mediated the entrepreneurial intentions and depression, the person vocation fit and entrepreneurial leadership moderated the entrepreneurial intentions and job insecurity link in the following month. This paper contributes in the literature of entrepreneurship and career management, by considering the role of person vocation fit and entrepreneurial leadership in the organizations of emerging countries that have high unemployment rate and mental health issues. This paper provides nuanced understanding of how these two constructs have influenced the entrepreneurial intentions-job insecurity-depression within- and between-person level in the visiting or contract employees. Therefore, made strong contribution to the theory of person- environment fit, the entrepreneurial event theory and the contingency theory in the longitudinal data. In addition, to generalize the results, this theoretical framework should be tested in the other geographic area and industries. The findings give practitioners, e.g. managers, policy- makers and counselors, with an idea how to decrease the feelings of job insecurity and depression in visiting or contract employees. They can promote the culture of innovation by giving training of entrepreneurial leadership and hiring the employees who have person vocation fit, all of these factors can lead to enhance the positive organizational image in potential and existing employees as well as it will also decrease the unemployment issue in emerging countries. In past, scholars focused on the consequences of job insecurity and its harms but none emphasized on the aspects of entrepreneurship regarding the visiting faculty of universities. Like how entrepreneurial intentions can gradually decrease the job insecurity and depression among them and how the strengthen of person vocation fit and entrepreneurial leadership role their play monthly in this regard.The effect of entrepreneurial intentions on depression: the mediating role of job insecurity and moderating roles of person vocation fit, and entrepreneurial leadership in the longitudinal study
Sobia Shabeer
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The understanding regarding the impact of entrepreneurial intentions on the job insecurity and depression is limited in the longitudinal settings, organizations need to know which factors can be added to decrease the psychological and career issues of visiting or contract employees. Thus, this research aims to investigate the person vocation fit and entrepreneurial leadership as a moderator in the relation of entrepreneurial intentions, job insecurity and depression in within- and between-person level with the time of 4 months' time lag.

The data was gathered by using survey method from visiting faculty of universities located in Punjab, in the longitudinal design of 4-wave months and M.plus software was used to do the mediation and moderation analysis.

Results revealed that job insecurity mediated the entrepreneurial intentions and depression, the person vocation fit and entrepreneurial leadership moderated the entrepreneurial intentions and job insecurity link in the following month.

This paper contributes in the literature of entrepreneurship and career management, by considering the role of person vocation fit and entrepreneurial leadership in the organizations of emerging countries that have high unemployment rate and mental health issues. This paper provides nuanced understanding of how these two constructs have influenced the entrepreneurial intentions-job insecurity-depression within- and between-person level in the visiting or contract employees. Therefore, made strong contribution to the theory of person- environment fit, the entrepreneurial event theory and the contingency theory in the longitudinal data. In addition, to generalize the results, this theoretical framework should be tested in the other geographic area and industries.

The findings give practitioners, e.g. managers, policy- makers and counselors, with an idea how to decrease the feelings of job insecurity and depression in visiting or contract employees. They can promote the culture of innovation by giving training of entrepreneurial leadership and hiring the employees who have person vocation fit, all of these factors can lead to enhance the positive organizational image in potential and existing employees as well as it will also decrease the unemployment issue in emerging countries.

In past, scholars focused on the consequences of job insecurity and its harms but none emphasized on the aspects of entrepreneurship regarding the visiting faculty of universities. Like how entrepreneurial intentions can gradually decrease the job insecurity and depression among them and how the strengthen of person vocation fit and entrepreneurial leadership role their play monthly in this regard.

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The effect of entrepreneurial intentions on depression: the mediating role of job insecurity and moderating roles of person vocation fit, and entrepreneurial leadership in the longitudinal study10.1108/K-10-2022-1496Kybernetes2023-07-03© 2023 Emerald Publishing LimitedSobia ShabeerKybernetesahead-of-printahead-of-print2023-07-0310.1108/K-10-2022-1496https://www.emerald.com/insight/content/doi/10.1108/K-10-2022-1496/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Recovery time of the hotel and restaurant sector in Indonesia after COVID-19 crisis: a survival analysishttps://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2051/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis. This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas. The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery. This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.Recovery time of the hotel and restaurant sector in Indonesia after COVID-19 crisis: a survival analysis
Ray Sastri, Fanglin Li, Hafiz Muhammad Naveed, Arbi Setiyawan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.

This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.

The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.

This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.

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Recovery time of the hotel and restaurant sector in Indonesia after COVID-19 crisis: a survival analysis10.1108/K-10-2023-2051Kybernetes2024-03-20© 2024 Emerald Publishing LimitedRay SastriFanglin LiHafiz Muhammad NaveedArbi SetiyawanKybernetesahead-of-printahead-of-print2024-03-2010.1108/K-10-2023-2051https://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2051/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Mediating effect of ecospirituality on the relationship between green training and voluntary workplace green behaviour in construction projects in Nigeriahttps://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2101/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe impact of mankind on the environment and the usage of natural resources might be influenced by spirituality, through the consciousness of creating an improved moral sense regarding the consequences of human activities and the necessity to alter these to achieve sustainable development. However, the spiritual element in the form of ecospirituality (ES) has not been sufficiently considered in pro-environmental studies as it relates to the influence of green training (GT) on voluntary workplace green behaviour (VWGB) in the construction sector. This study aims to determine the effect of GT on VWGB and the mediating effect of ES on the relationship between GT and VWGB on construction projects. This study’s data were gathered through a questionnaire survey of construction site managers and project managers by adopting the probability sampling method. 249 appropriately completed questionnaires were returned. The data obtained were analysed by means of the partial least squares structural equation modelling technique (PLS-SEM). The outcomes of the study show that GT has a significant positive impact on VWGB, while ES has a significant mediating effect on the relationship between GT and VWGB, both supporting the study’s hypotheses. These findings point to the fact that the hitherto conflicting results reported in earlier studies on the GT–VWGB relationship can be attributed to the lack of consideration given to ES. Hence, special attention should be given to ES. This research presents actions to enhance the transformation of GT into VWGB by giving due consideration to ES, which was not taken into account in previous studies.Mediating effect of ecospirituality on the relationship between green training and voluntary workplace green behaviour in construction projects in Nigeria
Hilary Omatule Onubi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The impact of mankind on the environment and the usage of natural resources might be influenced by spirituality, through the consciousness of creating an improved moral sense regarding the consequences of human activities and the necessity to alter these to achieve sustainable development. However, the spiritual element in the form of ecospirituality (ES) has not been sufficiently considered in pro-environmental studies as it relates to the influence of green training (GT) on voluntary workplace green behaviour (VWGB) in the construction sector. This study aims to determine the effect of GT on VWGB and the mediating effect of ES on the relationship between GT and VWGB on construction projects.

This study’s data were gathered through a questionnaire survey of construction site managers and project managers by adopting the probability sampling method. 249 appropriately completed questionnaires were returned. The data obtained were analysed by means of the partial least squares structural equation modelling technique (PLS-SEM).

The outcomes of the study show that GT has a significant positive impact on VWGB, while ES has a significant mediating effect on the relationship between GT and VWGB, both supporting the study’s hypotheses.

These findings point to the fact that the hitherto conflicting results reported in earlier studies on the GT–VWGB relationship can be attributed to the lack of consideration given to ES. Hence, special attention should be given to ES.

This research presents actions to enhance the transformation of GT into VWGB by giving due consideration to ES, which was not taken into account in previous studies.

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Mediating effect of ecospirituality on the relationship between green training and voluntary workplace green behaviour in construction projects in Nigeria10.1108/K-10-2023-2101Kybernetes2024-03-26© 2024 Emerald Publishing LimitedHilary Omatule OnubiKybernetesahead-of-printahead-of-print2024-03-2610.1108/K-10-2023-2101https://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2101/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Green information technology and green information systems: science mapping of present and future trendshttps://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2139/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study provide an in-depth review on the knowledge structure of green information technology (GIT) adoption and behavior. Environmental degradation has escalated even further with information and digital technology development. Researchers have come up with a new concept of GIT to dampen the carbon emission due to the excessive use of IT in today’s everyday usage. A similar terminology, green information system (GIS), is a rather broad understanding of GIT, which relates to the environmental management system to improve operations in the organization and will be included in the scope of the study. This study presents a science mapping analysis through a bibliometric review to explore emerging trends and predict future trends based on 293 publications in the Web of Science. The bibliographic coupling analysis discovered five themes related to the theoretical foundation of GIT and the determinants of their adoption. The five themes are (1) theoretical foundation in GIT, (2) determinants of green IT and IS adoption, (3) fundamental of GIT and information science, (4) green technologies and green computing and (5) determinants of managers green IT adoption behavior. While co-word analysis presents the impact of GIT, driving performance and energy efficiency through the adoption of GIT producing four themes, (1) GIT acceptance through the theory of planned behavior, (2) impact of GIT’s: strategies for sustainable implementation, (3) driving sustainable performance through green innovation in information systems and technology and (4) energy efficiency and sustainability in green computing and cloud computing. The finding is relevant to managers, researchers and stakeholders bounded by environmental responsibilities to mitigate its impact on the socioeconomic and environment through GIT adoption. The contribution of this study is presenting an in-depth analysis of the knowledge structure through bibliometric analysis by providing network visualization on one of the crucial pro-environmental behavior.Green information technology and green information systems: science mapping of present and future trends
Mohd Nazim Mat Nawi, Muhammad Ashraf Fauzi, Irene Wei Kiong Ting, Walton Wider, Gabari Barry Amaka
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study provide an in-depth review on the knowledge structure of green information technology (GIT) adoption and behavior. Environmental degradation has escalated even further with information and digital technology development. Researchers have come up with a new concept of GIT to dampen the carbon emission due to the excessive use of IT in today’s everyday usage. A similar terminology, green information system (GIS), is a rather broad understanding of GIT, which relates to the environmental management system to improve operations in the organization and will be included in the scope of the study.

This study presents a science mapping analysis through a bibliometric review to explore emerging trends and predict future trends based on 293 publications in the Web of Science.

The bibliographic coupling analysis discovered five themes related to the theoretical foundation of GIT and the determinants of their adoption. The five themes are (1) theoretical foundation in GIT, (2) determinants of green IT and IS adoption, (3) fundamental of GIT and information science, (4) green technologies and green computing and (5) determinants of managers green IT adoption behavior. While co-word analysis presents the impact of GIT, driving performance and energy efficiency through the adoption of GIT producing four themes, (1) GIT acceptance through the theory of planned behavior, (2) impact of GIT’s: strategies for sustainable implementation, (3) driving sustainable performance through green innovation in information systems and technology and (4) energy efficiency and sustainability in green computing and cloud computing.

The finding is relevant to managers, researchers and stakeholders bounded by environmental responsibilities to mitigate its impact on the socioeconomic and environment through GIT adoption.

The contribution of this study is presenting an in-depth analysis of the knowledge structure through bibliometric analysis by providing network visualization on one of the crucial pro-environmental behavior.

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Green information technology and green information systems: science mapping of present and future trends10.1108/K-10-2023-2139Kybernetes2024-03-04© 2024 Emerald Publishing LimitedMohd Nazim Mat NawiMuhammad Ashraf FauziIrene Wei Kiong TingWalton WiderGabari Barry AmakaKybernetesahead-of-printahead-of-print2024-03-0410.1108/K-10-2023-2139https://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2139/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
A novel B&B recommendation method based on improved intuitionistic fuzzy setshttps://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2153/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to propose a bed and breakfast (B&B) recommendation method that takes into account review timeliness and user preferences to help consumers choose the most satisfactory B&B. This paper proposes a B&B ranking method based on improved intuitionistic fuzzy sets. First, text mining and cluster analysis are combined to identify the concerns of consumers and construct an attribute set. Second, an attribute-level-based text sentiment analysis is established. The authors propose an improved intuitionistic fuzzy set, which is more in line with the actual situation of sentiment analysis of online reviews. Next, subjective-objective combinatorial assignments are applied, considering the consumers’ preferences. Finally, the vlsekriterijumska optimizacija i kompromisno resenje (VIKOR) algorithm, based on the improved score function, is advised to evaluate B&Bs. A case study is presented to illustrate the use of the proposed method. Comparative analysis with other multi-attribute decision-making (MADM) methods proves the effectiveness and superiority of the VIKOR algorithm based on the improved intuitionistic fuzzy sets proposed in this paper. Proposing a B&B recommendation method that takes into account review timeliness and user customization is the innovation of this paper. In this approach, the authors propose improved intuitionistic fuzzy sets. Compared with the traditional intuitionistic fuzzy set, the improved intuitionistic fuzzy set increases the abstention membership, which is more in line with the actual situation of attribute-level sentiment analysis of online reviews.A novel B&B recommendation method based on improved intuitionistic fuzzy sets
Chong Wu, Zijiao Zhang, Chang Liu, Yiwen Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to propose a bed and breakfast (B&B) recommendation method that takes into account review timeliness and user preferences to help consumers choose the most satisfactory B&B.

This paper proposes a B&B ranking method based on improved intuitionistic fuzzy sets. First, text mining and cluster analysis are combined to identify the concerns of consumers and construct an attribute set. Second, an attribute-level-based text sentiment analysis is established. The authors propose an improved intuitionistic fuzzy set, which is more in line with the actual situation of sentiment analysis of online reviews. Next, subjective-objective combinatorial assignments are applied, considering the consumers’ preferences. Finally, the vlsekriterijumska optimizacija i kompromisno resenje (VIKOR) algorithm, based on the improved score function, is advised to evaluate B&Bs.

A case study is presented to illustrate the use of the proposed method. Comparative analysis with other multi-attribute decision-making (MADM) methods proves the effectiveness and superiority of the VIKOR algorithm based on the improved intuitionistic fuzzy sets proposed in this paper.

Proposing a B&B recommendation method that takes into account review timeliness and user customization is the innovation of this paper. In this approach, the authors propose improved intuitionistic fuzzy sets. Compared with the traditional intuitionistic fuzzy set, the improved intuitionistic fuzzy set increases the abstention membership, which is more in line with the actual situation of attribute-level sentiment analysis of online reviews.

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A novel B&B recommendation method based on improved intuitionistic fuzzy sets10.1108/K-10-2023-2153Kybernetes2024-01-23© 2023 Emerald Publishing LimitedChong WuZijiao ZhangChang LiuYiwen ZhangKybernetesahead-of-printahead-of-print2024-01-2310.1108/K-10-2023-2153https://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2153/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Application of grey system model with intelligent parameters in predicting regional electricity consumptionhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2189/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestGiven the regional heterogeneity of economic development, electricity consumption in various regions exhibits a discrepant growth pattern. The purpose of this study is to construct a grey system forecasting model with intelligent parameters for predicting provincial electricity consumption in China. First, parameter optimization and structural expansion are simultaneously integrated into a unified grey system prediction framework, enhancing its adaptive capabilities. Second, by setting the minimum simulation percentage error as the optimization goal, the authors apply the particle swarm optimization (PSO) algorithm to search for the optimal grey generation order and background value coefficient. Third, to assess the performance across diverse power consumption systems, the authors use two electricity consumption cases and select eight other benchmark models to analyze the simulation and prediction errors. Further, the authors conduct simulations and trend predictions using data from all 31 provinces in China, analyzing and predicting the development trends in electricity consumption for each province from 2021 to 2026. The study identifies significant heterogeneity in the development trends of electricity consumption systems among diverse provinces in China. The grey prediction model, optimized with multiple intelligent parameters, demonstrates superior adaptability and dynamic adjustment capabilities compared to traditional fixed-parameter models. Outperforming benchmark models across various evaluation indicators such as root mean square error (RMSE), average percentage error and Theil’s index, the new model establishes its robustness in predicting electricity system behavior. Acknowledging the limitations of traditional grey prediction models in capturing diverse growth patterns under fixed-generation orders, single structures and unadjustable background values, this study proposes a fractional grey intelligent prediction model with multiple parameter optimization. By incorporating multiple parameter optimizations and structure expansion, it substantiates the model’s superiority in forecasting provincial electricity consumption.Application of grey system model with intelligent parameters in predicting regional electricity consumption
Wenhao Zhou, Hailin Li, Hufeng Li, Liping Zhang, Weibin Lin
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Given the regional heterogeneity of economic development, electricity consumption in various regions exhibits a discrepant growth pattern. The purpose of this study is to construct a grey system forecasting model with intelligent parameters for predicting provincial electricity consumption in China.

First, parameter optimization and structural expansion are simultaneously integrated into a unified grey system prediction framework, enhancing its adaptive capabilities. Second, by setting the minimum simulation percentage error as the optimization goal, the authors apply the particle swarm optimization (PSO) algorithm to search for the optimal grey generation order and background value coefficient. Third, to assess the performance across diverse power consumption systems, the authors use two electricity consumption cases and select eight other benchmark models to analyze the simulation and prediction errors. Further, the authors conduct simulations and trend predictions using data from all 31 provinces in China, analyzing and predicting the development trends in electricity consumption for each province from 2021 to 2026.

The study identifies significant heterogeneity in the development trends of electricity consumption systems among diverse provinces in China. The grey prediction model, optimized with multiple intelligent parameters, demonstrates superior adaptability and dynamic adjustment capabilities compared to traditional fixed-parameter models. Outperforming benchmark models across various evaluation indicators such as root mean square error (RMSE), average percentage error and Theil’s index, the new model establishes its robustness in predicting electricity system behavior.

Acknowledging the limitations of traditional grey prediction models in capturing diverse growth patterns under fixed-generation orders, single structures and unadjustable background values, this study proposes a fractional grey intelligent prediction model with multiple parameter optimization. By incorporating multiple parameter optimizations and structure expansion, it substantiates the model’s superiority in forecasting provincial electricity consumption.

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Application of grey system model with intelligent parameters in predicting regional electricity consumption10.1108/K-10-2023-2189Kybernetes2024-01-05© 2023 Emerald Publishing LimitedWenhao ZhouHailin LiHufeng LiLiping ZhangWeibin LinKybernetesahead-of-printahead-of-print2024-01-0510.1108/K-10-2023-2189https://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2189/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Impact of certification on efficiency: a study of the inverted U-shaped moderating role of supply chain complexityhttps://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2201/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to find the impact of supply chain certification (SCCert) on supply chain efficiency (SCEffi) with the inverted U-shaped moderator role of supply chain complexity (SCComp). In order to test the conceptual model and the hypothesized relationships between all the constructs, the 307 useable survey responses were collected using the purposive sampling technique on a seven-point Likert scale. The SPSS26.0 and AMOS24.0 were used to analyze data, and the hierarchical regression analysis was used to test the model. This study reached a set of interesting results where it was confirmed that there is a significant relationship between SCCert and SCEffi. It further confirmed the inverted U-shaped moderating effect of SCComp between SCCert and SCEffi: on the left side of the threshold, the increase of SCComp will enhance the promotion effect of SCCert on SCEffi, while on the right side of the threshold, excessive SCComp will rather weaken the promotion effect of SCCert on SCEffi. The findings provide implications for supply chain efficiency enablers to introduce/promote certification upgrading actions. The study provides a framework for solving the power and constraint problem of supply chain efficiency change. Findings provide deeper and new insights into threshold feature of supply chain complexity, analyzing how supply chain certification activity realize supply chain efficiency reform through the moderating role of supply chain complexity.Impact of certification on efficiency: a study of the inverted U-shaped moderating role of supply chain complexity
Jingmin Wang, Ligang Cui, Maozeng Xu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to find the impact of supply chain certification (SCCert) on supply chain efficiency (SCEffi) with the inverted U-shaped moderator role of supply chain complexity (SCComp).

In order to test the conceptual model and the hypothesized relationships between all the constructs, the 307 useable survey responses were collected using the purposive sampling technique on a seven-point Likert scale. The SPSS26.0 and AMOS24.0 were used to analyze data, and the hierarchical regression analysis was used to test the model.

This study reached a set of interesting results where it was confirmed that there is a significant relationship between SCCert and SCEffi. It further confirmed the inverted U-shaped moderating effect of SCComp between SCCert and SCEffi: on the left side of the threshold, the increase of SCComp will enhance the promotion effect of SCCert on SCEffi, while on the right side of the threshold, excessive SCComp will rather weaken the promotion effect of SCCert on SCEffi.

The findings provide implications for supply chain efficiency enablers to introduce/promote certification upgrading actions. The study provides a framework for solving the power and constraint problem of supply chain efficiency change.

Findings provide deeper and new insights into threshold feature of supply chain complexity, analyzing how supply chain certification activity realize supply chain efficiency reform through the moderating role of supply chain complexity.

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Impact of certification on efficiency: a study of the inverted U-shaped moderating role of supply chain complexity10.1108/K-10-2023-2201Kybernetes2024-01-09© 2023 Emerald Publishing LimitedJingmin WangLigang CuiMaozeng XuKybernetesahead-of-printahead-of-print2024-01-0910.1108/K-10-2023-2201https://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2201/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Executive team risk appetite, financial development and re-innovation strategy after enterprise innovation failure: evidence from Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2214/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article empirically tests the impact of risk appetite of the executive team on the re-innovation strategy after technological innovation failure using a panel regression model from the perspective of regional financial development level of enterprises. By means of time series global principal component analysis and panel regression model method, the study validated and analyzed the impact of risk appetite of the executive team on the re-innovation strategy after enterprise technological innovation failure. The research found that the higher the risk appetite of executive team, the more inclined the enterprise is to choose the “focusing on quantity, ignoring quality” re-innovation strategy after technological innovation failure. The better the financial development level of the region where the enterprise is located, the better it can effectively reduce the re-innovation strategy of “focusing on quantity, ignoring quality” of the enterprise due to the high risk appetite of the executive team. The findings of this study are helpful in improving the financial development level of the region where the enterprise is located. It can help the executive team of the enterprise to more objectively choose the innovation strategy after technological innovation failure, and reduce the phenomenon that the executive team of the enterprise only pays attention to the quantity of re-innovation and underestimates the quality of re-innovation after technological innovation failure due to its high risk appetite.Executive team risk appetite, financial development and re-innovation strategy after enterprise innovation failure: evidence from China
Yang Zhang, Wentao Zhou, Xiaoyao Pan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article empirically tests the impact of risk appetite of the executive team on the re-innovation strategy after technological innovation failure using a panel regression model from the perspective of regional financial development level of enterprises.

By means of time series global principal component analysis and panel regression model method, the study validated and analyzed the impact of risk appetite of the executive team on the re-innovation strategy after enterprise technological innovation failure.

The research found that the higher the risk appetite of executive team, the more inclined the enterprise is to choose the “focusing on quantity, ignoring quality” re-innovation strategy after technological innovation failure. The better the financial development level of the region where the enterprise is located, the better it can effectively reduce the re-innovation strategy of “focusing on quantity, ignoring quality” of the enterprise due to the high risk appetite of the executive team.

The findings of this study are helpful in improving the financial development level of the region where the enterprise is located. It can help the executive team of the enterprise to more objectively choose the innovation strategy after technological innovation failure, and reduce the phenomenon that the executive team of the enterprise only pays attention to the quantity of re-innovation and underestimates the quality of re-innovation after technological innovation failure due to its high risk appetite.

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Executive team risk appetite, financial development and re-innovation strategy after enterprise innovation failure: evidence from China10.1108/K-10-2023-2214Kybernetes2024-02-23© 2024 Emerald Publishing LimitedYang ZhangWentao ZhouXiaoyao PanKybernetesahead-of-printahead-of-print2024-02-2310.1108/K-10-2023-2214https://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2214/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Outsourcing or not? OEM's entry decision considering brand spillover effecthttps://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2225/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn this paper, the authors study the entry and outsourcing strategies of manufacturer while considering the brand spillover effect resulting from outsourcing. The supply chain comprises two manufacturers: one being the entrant with a strong brand, and the other as the incumbent with a weak brand. The entrant decides whether and how to enter the market. Stackelberg game is applied to study the optimal strategies for the manufacturers. This paper conducts a comparative analysis on four situations, yielding conclusions and managerial insights. The results show that, for the entrant, there is no need to worry about the brand spillover effect in the outsourcing process, which is very interesting and counterintuitive. To get further, the authors find the reason: The spillover effect causes the entrant’s equilibrium retail price to grow faster than the wholesale price. They also prove that a stronger brand effect empowers the entrant to challenge industry barriers, while the impact of the brand spillover effect is the opposite. For the incumbent who acts as the weak party in this issue, it is demonstrated that the optimal choice is to continue selling when facing the encroachment and outsourcing call from the entrant. Differing from previous studies, the authors notice the brand spillover effect caused by outsourcing when studying company’s entry strategy. They further divide the brand effect into two parts, one of which does not exhibit a spillover.Outsourcing or not? OEM's entry decision considering brand spillover effect
Hua Ke, Yaqin Zhou
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In this paper, the authors study the entry and outsourcing strategies of manufacturer while considering the brand spillover effect resulting from outsourcing. The supply chain comprises two manufacturers: one being the entrant with a strong brand, and the other as the incumbent with a weak brand. The entrant decides whether and how to enter the market.

Stackelberg game is applied to study the optimal strategies for the manufacturers. This paper conducts a comparative analysis on four situations, yielding conclusions and managerial insights.

The results show that, for the entrant, there is no need to worry about the brand spillover effect in the outsourcing process, which is very interesting and counterintuitive. To get further, the authors find the reason: The spillover effect causes the entrant’s equilibrium retail price to grow faster than the wholesale price. They also prove that a stronger brand effect empowers the entrant to challenge industry barriers, while the impact of the brand spillover effect is the opposite. For the incumbent who acts as the weak party in this issue, it is demonstrated that the optimal choice is to continue selling when facing the encroachment and outsourcing call from the entrant.

Differing from previous studies, the authors notice the brand spillover effect caused by outsourcing when studying company’s entry strategy. They further divide the brand effect into two parts, one of which does not exhibit a spillover.

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Outsourcing or not? OEM's entry decision considering brand spillover effect10.1108/K-10-2023-2225Kybernetes2024-03-11© 2024 Emerald Publishing LimitedHua KeYaqin ZhouKybernetesahead-of-printahead-of-print2024-03-1110.1108/K-10-2023-2225https://www.emerald.com/insight/content/doi/10.1108/K-10-2023-2225/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Find their country-of-origin Facebook and cross the threshold of overseas legitimacy: a multi-case study of Chinese enterpriseshttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1514/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestOwing to dual constraints including liability of foreignness and liability of origin when emerging multinationals internationalize, they inevitably face the challenge of overseas legitimation. However, few studies have explored how latecomers cross the threshold of legitimacy in the dynamic context of transnational operation. The purpose of this paper is to unravel the evolution process, triggers and specific strategies of overseas legitimacy threshold crossing of emerging multinationals. Through the longitudinal case study of Haier Group and Goldwind Sci & Tech Co., Ltd, this study investigates the periodical characteristics of overseas legitimacy threshold crossings and the co-evolution among critical factors influencing the legitimation process in the host country. First, it summarizes that the legitimacy threshold in the host country experiences a sequential process from pragmatic legitimacy to normative legitimacy, and finally cognitive legitimacy. It is an inevitable choice for emerging multinational enterprises to realize and sustain legitimation from passive adaptation to active creation. Second, it reveals that the triggers for crossing the threshold of overseas legitimacy include periodically dynamic factors – international network linkage and resource system reconfiguration, as well as cross-stage spiral interaction effects. Third, it determines the specific strategies for crossing the threshold of overseas legitimacy, namely, replacement, upgrading and reconstruction of organizational identity, and reveals the important role of insisting on the country-of-origin Facebook in promoting the legitimation. This study enriches the legitimacy threshold crossing literature from an evolutional perspective, especially the traditional static legitimacy research. This study also reveals the key impacting factors – international network linkage and resource system reconfiguration – and their evolution process interacted with the legitimation process. The emerging multinationals should break the stereotypes from developed markets in that only creating new cognitive patterns through active legitimate strategies can they truly cross the legitimacy threshold in the host country. The emerging multinationals also need to retain their own home country legitimacy traits – Facebook and balance the relation between the image of the home country and the image of host country. This paper investigates the process of overseas legitimacy threshold crossing for emerging multinationals in a dynamic context of transnational operation, particularly with respect to the evolutionary role played by international network linkage and resource system reconfiguration.Find their country-of-origin Facebook and cross the threshold of overseas legitimacy: a multi-case study of Chinese enterprises
Supeng Zheng, Yusen Xu, Haifen Lin, Yunqi Chen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Owing to dual constraints including liability of foreignness and liability of origin when emerging multinationals internationalize, they inevitably face the challenge of overseas legitimation. However, few studies have explored how latecomers cross the threshold of legitimacy in the dynamic context of transnational operation. The purpose of this paper is to unravel the evolution process, triggers and specific strategies of overseas legitimacy threshold crossing of emerging multinationals.

Through the longitudinal case study of Haier Group and Goldwind Sci & Tech Co., Ltd, this study investigates the periodical characteristics of overseas legitimacy threshold crossings and the co-evolution among critical factors influencing the legitimation process in the host country.

First, it summarizes that the legitimacy threshold in the host country experiences a sequential process from pragmatic legitimacy to normative legitimacy, and finally cognitive legitimacy. It is an inevitable choice for emerging multinational enterprises to realize and sustain legitimation from passive adaptation to active creation. Second, it reveals that the triggers for crossing the threshold of overseas legitimacy include periodically dynamic factors – international network linkage and resource system reconfiguration, as well as cross-stage spiral interaction effects. Third, it determines the specific strategies for crossing the threshold of overseas legitimacy, namely, replacement, upgrading and reconstruction of organizational identity, and reveals the important role of insisting on the country-of-origin Facebook in promoting the legitimation.

This study enriches the legitimacy threshold crossing literature from an evolutional perspective, especially the traditional static legitimacy research. This study also reveals the key impacting factors – international network linkage and resource system reconfiguration – and their evolution process interacted with the legitimation process.

The emerging multinationals should break the stereotypes from developed markets in that only creating new cognitive patterns through active legitimate strategies can they truly cross the legitimacy threshold in the host country. The emerging multinationals also need to retain their own home country legitimacy traits – Facebook and balance the relation between the image of the home country and the image of host country.

This paper investigates the process of overseas legitimacy threshold crossing for emerging multinationals in a dynamic context of transnational operation, particularly with respect to the evolutionary role played by international network linkage and resource system reconfiguration.

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Find their country-of-origin Facebook and cross the threshold of overseas legitimacy: a multi-case study of Chinese enterprises10.1108/K-11-2022-1514Kybernetes2023-06-29© 2023 Emerald Publishing LimitedSupeng ZhengYusen XuHaifen LinYunqi ChenKybernetesahead-of-printahead-of-print2023-06-2910.1108/K-11-2022-1514https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1514/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Are the motives of holding cash differing between developed and emerging financial markets?https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1527/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study compares the motives of holding cash between developed (Australian) and developing (Malaysian) financial markets. For the period 2006–2020, the t-test, fixed-effect and generalised method of moment (GMM) model have been applied to a sample of 1878 (1,165 Australian and 713 Malaysian) firms. The empirical results reveal that firms in developed financial markets hold higher cash compared to the developing financial markets. The findings confirm that motives to hold cash differ between developed and developing financial markets. The GMM findings further show that cash holdings (CH) in Australia are higher due to higher ratios of cash flow, research and development (R&D) and return on assets (ROA), and lower due to larger dividend payments. In the Malaysian market, however, cash flows and R&D are ineffectual, ROA falls and dividend payments rise CH. The study helps managers, practitioners and investors understand that firms' distinct economic, institutional, accounting and financial environments are important. To attain the desired outcomes, they must thus comprehend and consider these considerations while developing suitable liquidity strategies. To the authors' best knowledge, this is the initial research demonstrating how varied cash motives and their ramifications are in developed and developing financial markets. Therefore, this study identifies the importance that CH motives varied among financial markets and that findings from a particular market cannot be generalised to other markets because of the market and financial structural variations.Are the motives of holding cash differing between developed and emerging financial markets?
Tahir Akhtar
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study compares the motives of holding cash between developed (Australian) and developing (Malaysian) financial markets.

For the period 2006–2020, the t-test, fixed-effect and generalised method of moment (GMM) model have been applied to a sample of 1878 (1,165 Australian and 713 Malaysian) firms.

The empirical results reveal that firms in developed financial markets hold higher cash compared to the developing financial markets. The findings confirm that motives to hold cash differ between developed and developing financial markets. The GMM findings further show that cash holdings (CH) in Australia are higher due to higher ratios of cash flow, research and development (R&D) and return on assets (ROA), and lower due to larger dividend payments. In the Malaysian market, however, cash flows and R&D are ineffectual, ROA falls and dividend payments rise CH.

The study helps managers, practitioners and investors understand that firms' distinct economic, institutional, accounting and financial environments are important. To attain the desired outcomes, they must thus comprehend and consider these considerations while developing suitable liquidity strategies.

To the authors' best knowledge, this is the initial research demonstrating how varied cash motives and their ramifications are in developed and developing financial markets. Therefore, this study identifies the importance that CH motives varied among financial markets and that findings from a particular market cannot be generalised to other markets because of the market and financial structural variations.

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Are the motives of holding cash differing between developed and emerging financial markets?10.1108/K-11-2022-1527Kybernetes2023-02-10© 2023 Emerald Publishing LimitedTahir AkhtarKybernetesahead-of-printahead-of-print2023-02-1010.1108/K-11-2022-1527https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1527/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Spatial correlation and influencing factors of the urban land transaction market in the Yangtze River Delta urban agglomerationhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1532/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestLand transactions are a key indicator of urban sustainable development and urban space expansion. Therefore, this paper aims to study the spatial correlation of different types of land transactions. Based on the big data of land micro transactions in Yangtze River Delta urban agglomeration, this paper uses the generalized forecast error variance decomposition (GFEVD) method to measure the correlation level of urban land markets. Also, social network analysis (SNA) is used to describe spatial correlation network characteristics of an urban agglomeration land market. In the meantime, the factors that influence the spatial correlation of urban land markets are investigated through a quadratic assignment procedure (QAP). The price growth rate of urban residential land was higher than that of industrial land and commercial land. The spatial relevance of urban residential land is the highest, while the spatial relevance of the urban commercial land market is the lowest. The urban industrial land market, commercial land market and residential land market all present a typical network structure. Population distance (POD) and Engel coefficient distance (EGD) are negatively correlated with the correlation degree of the urban residential land network; traffic distance (TRD) and economic distance (ECD) are negatively correlated with the correlation degree of the urban industrial land network and commercial land network. This paper uses a systematically-integrated series of problem-solving models to better explain the development path of urban land markets and to realize the integration of the interdisciplinary methods of geography, statistics and big data analysis.Spatial correlation and influencing factors of the urban land transaction market in the Yangtze River Delta urban agglomeration
Changjun Jiang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Land transactions are a key indicator of urban sustainable development and urban space expansion. Therefore, this paper aims to study the spatial correlation of different types of land transactions.

Based on the big data of land micro transactions in Yangtze River Delta urban agglomeration, this paper uses the generalized forecast error variance decomposition (GFEVD) method to measure the correlation level of urban land markets. Also, social network analysis (SNA) is used to describe spatial correlation network characteristics of an urban agglomeration land market. In the meantime, the factors that influence the spatial correlation of urban land markets are investigated through a quadratic assignment procedure (QAP).

The price growth rate of urban residential land was higher than that of industrial land and commercial land. The spatial relevance of urban residential land is the highest, while the spatial relevance of the urban commercial land market is the lowest. The urban industrial land market, commercial land market and residential land market all present a typical network structure. Population distance (POD) and Engel coefficient distance (EGD) are negatively correlated with the correlation degree of the urban residential land network; traffic distance (TRD) and economic distance (ECD) are negatively correlated with the correlation degree of the urban industrial land network and commercial land network.

This paper uses a systematically-integrated series of problem-solving models to better explain the development path of urban land markets and to realize the integration of the interdisciplinary methods of geography, statistics and big data analysis.

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Spatial correlation and influencing factors of the urban land transaction market in the Yangtze River Delta urban agglomeration10.1108/K-11-2022-1532Kybernetes2023-04-07© 2023 Emerald Publishing LimitedChangjun JiangKybernetesahead-of-printahead-of-print2023-04-0710.1108/K-11-2022-1532https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1532/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The influence of entrepreneurial innovations in building competitive advantage: the mediating role of entrepreneurial thinkinghttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1540/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDespite the widespread recognition of the significance of entrepreneurial innovations in driving financial success and building firms' competitive advantage, there is a lack of empirical investigation into their impact on organizations. This research paper aims to address this gap by exploring how entrepreneurial innovations can contribute to firms' competitive advantage and the mediating role of entrepreneurial thinking in this relationship. To answer these research questions, this paper utilizes the resource-based view (RBV) of the firm and the dynamic capabilities view (DCV). The study employed a quantitative research design, and survey data were collected from 102 chief executive officers (CEOs) of Jordanian manufacturing companies in various industries. Structural equation modeling was used to test the hypothesized relationships. The findings of this study suggest that there is a positive and significant impact of entrepreneurial innovation and thinking on the competitive advantage of firms. The authors also found that entrepreneurial thinking positively mediates this relationship. This study’s results support the RBV and DCV perspectives, which suggest that firms need to leverage unique resources and capabilities and develop dynamic capabilities to achieve a sustained competitive advantage. The significance of this study lies in its contribution to the literature on the relationship between entrepreneurial innovation, thinking and competitive advantage. While previous research has explored these concepts separately, this study integrates them into a comprehensive framework that highlights the mediating role of entrepreneurial thinking in the relationship between entrepreneurial innovation and competitive advantage.The influence of entrepreneurial innovations in building competitive advantage: the mediating role of entrepreneurial thinking
Yousef Alsafadi, Hasan Yousef Aljuhmani
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Despite the widespread recognition of the significance of entrepreneurial innovations in driving financial success and building firms' competitive advantage, there is a lack of empirical investigation into their impact on organizations. This research paper aims to address this gap by exploring how entrepreneurial innovations can contribute to firms' competitive advantage and the mediating role of entrepreneurial thinking in this relationship. To answer these research questions, this paper utilizes the resource-based view (RBV) of the firm and the dynamic capabilities view (DCV).

The study employed a quantitative research design, and survey data were collected from 102 chief executive officers (CEOs) of Jordanian manufacturing companies in various industries. Structural equation modeling was used to test the hypothesized relationships.

The findings of this study suggest that there is a positive and significant impact of entrepreneurial innovation and thinking on the competitive advantage of firms. The authors also found that entrepreneurial thinking positively mediates this relationship. This study’s results support the RBV and DCV perspectives, which suggest that firms need to leverage unique resources and capabilities and develop dynamic capabilities to achieve a sustained competitive advantage.

The significance of this study lies in its contribution to the literature on the relationship between entrepreneurial innovation, thinking and competitive advantage. While previous research has explored these concepts separately, this study integrates them into a comprehensive framework that highlights the mediating role of entrepreneurial thinking in the relationship between entrepreneurial innovation and competitive advantage.

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The influence of entrepreneurial innovations in building competitive advantage: the mediating role of entrepreneurial thinking10.1108/K-11-2022-1540Kybernetes2023-06-14© 2023 Emerald Publishing LimitedYousef AlsafadiHasan Yousef AljuhmaniKybernetesahead-of-printahead-of-print2023-06-1410.1108/K-11-2022-1540https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1540/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A multi-stage approach for design concept evaluation based on complex network and bounded confidence to achieve consensushttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1565/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestA successful process of design concept evaluation has positive influence on subsequent processes. This study aims to consider the evaluation information at multiple stages and the interaction among evaluators and improve the credibility of evaluation results. This paper proposes a multi-stage approach for design concept evaluation based on complex network and bounded confidence. First, a network is constructed according to the evaluation data. Depending on the consensus degree of evaluation opinions, the number of evaluation rounds is determined. Then, bounded confidence rules are applied for the modification of preference information. Last, a planning function is constructed to calculate the weight of each stage and aggregate information at multiple evaluation stages. The results indicate that the opinions of the evaluators tend to be consistent after multiple stages of interactive adjustment, and the ordering of design concept alternatives tends to be stable with the progress of the evaluation. Updating preferences according to the bounded confidence rules, only the opinions within the trust threshold are considered. The attribute information of the node itself is inadequately considered. This method addresses the need for considering the evaluation information at each stage and minimizes the impact of disagreements within the evaluation group on the evaluation results.A multi-stage approach for design concept evaluation based on complex network and bounded confidence to achieve consensus
Yukun Hu, Suihuai Yu, Dengkai Chen, Jianjie Chu, Yanpu Yang, Qing Ao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

A successful process of design concept evaluation has positive influence on subsequent processes. This study aims to consider the evaluation information at multiple stages and the interaction among evaluators and improve the credibility of evaluation results.

This paper proposes a multi-stage approach for design concept evaluation based on complex network and bounded confidence. First, a network is constructed according to the evaluation data. Depending on the consensus degree of evaluation opinions, the number of evaluation rounds is determined. Then, bounded confidence rules are applied for the modification of preference information. Last, a planning function is constructed to calculate the weight of each stage and aggregate information at multiple evaluation stages.

The results indicate that the opinions of the evaluators tend to be consistent after multiple stages of interactive adjustment, and the ordering of design concept alternatives tends to be stable with the progress of the evaluation.

Updating preferences according to the bounded confidence rules, only the opinions within the trust threshold are considered. The attribute information of the node itself is inadequately considered.

This method addresses the need for considering the evaluation information at each stage and minimizes the impact of disagreements within the evaluation group on the evaluation results.

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A multi-stage approach for design concept evaluation based on complex network and bounded confidence to achieve consensus10.1108/K-11-2022-1565Kybernetes2023-06-20© 2023 Emerald Publishing LimitedYukun HuSuihuai YuDengkai ChenJianjie ChuYanpu YangQing AoKybernetesahead-of-printahead-of-print2023-06-2010.1108/K-11-2022-1565https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1565/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Towards an organizational model based on the human being seen as an allopoietic gray box information processorhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1566/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe paper aims to contribute conceptually to the conversation about organizational models and to the future development of an organizational diagnostic method, based on the human being seen as an allopoietic information processing gray box. Methodologically, the approach is qualitative and interpretative, using the concepts of autopoiesis and allopoiesis of H. Maturana and F. Varela, the ideas of cybernetic machine, black box and functional homomorphism of W.R. Ashby, moving from the human being to the organizations producing goods and/or services. Observing the human being as an allopoietic gray box allowed us to confirm the human being as an information-producing entity and the nervous system as its productive component. The functions distinguished were to emote, feel, perceive, think, memorize, decide, communicate, regulate, control, coordinate and move. Similarly, the proposed organizational model is composed of the same functions in which emoting is homologated with distributed leadership for the achievement of the organizational climate and to move with production. Notwithstanding the circularity of affectation between the functional components, the climate is the basis of organizational operation and consequently, the decisional closure distributed between owners and employees. This is a theoretical proposal that needs to be discussed, and although there are precedents that could help in this regard, it is essential to enrich the model and derive thereof specific tools that can be applied. A general model is provided from which methods of organizational design, diagnosis and treatment could be derived. The proposed model is expected to be a contribution to organizational research discussion. It is considered that the work has a certain degree of originality when proposing a functional organizational model of a general nature, based on the emotionality of the people that constitute it.Towards an organizational model based on the human being seen as an allopoietic gray box information processor
Mario Iván Tarride
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The paper aims to contribute conceptually to the conversation about organizational models and to the future development of an organizational diagnostic method, based on the human being seen as an allopoietic information processing gray box.

Methodologically, the approach is qualitative and interpretative, using the concepts of autopoiesis and allopoiesis of H. Maturana and F. Varela, the ideas of cybernetic machine, black box and functional homomorphism of W.R. Ashby, moving from the human being to the organizations producing goods and/or services.

Observing the human being as an allopoietic gray box allowed us to confirm the human being as an information-producing entity and the nervous system as its productive component. The functions distinguished were to emote, feel, perceive, think, memorize, decide, communicate, regulate, control, coordinate and move. Similarly, the proposed organizational model is composed of the same functions in which emoting is homologated with distributed leadership for the achievement of the organizational climate and to move with production. Notwithstanding the circularity of affectation between the functional components, the climate is the basis of organizational operation and consequently, the decisional closure distributed between owners and employees.

This is a theoretical proposal that needs to be discussed, and although there are precedents that could help in this regard, it is essential to enrich the model and derive thereof specific tools that can be applied.

A general model is provided from which methods of organizational design, diagnosis and treatment could be derived.

The proposed model is expected to be a contribution to organizational research discussion.

It is considered that the work has a certain degree of originality when proposing a functional organizational model of a general nature, based on the emotionality of the people that constitute it.

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Towards an organizational model based on the human being seen as an allopoietic gray box information processor10.1108/K-11-2022-1566Kybernetes2023-04-11© 2023 Emerald Publishing LimitedMario Iván TarrideKybernetesahead-of-printahead-of-print2023-04-1110.1108/K-11-2022-1566https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1566/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A gendered multigroup analysis of teachers' in-role and extra-role performance: the effect of time pressure during COVID-19https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1572/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study investigated the in-role and extra-role performance of male and female teachers. Multigroup Analysis is applied to the unique combination of independent variable time pressures, mediating variable psychological empowerment and dependent variable teacher in-role and extra-role performance. The reason for employing a distinctive methodology is because of male and female characteristics. In addition, data were gathered during COVID-19 using convenient sampling techniques from male and female teachers working in Pakistani higher education institutions. The results showed that time has a significant impact on how well male and female teachers do their jobs. According to the gendered characteristics, psychological empowerment significantly intervenes between time pressure and teacher performance. Furthermore, the result provides policymakers with guidelines while assigning the task to teachers. This article highlighted the issues of performance under time pressure imposed by an educational institution's employer and developed the mechanism for effective and efficient policies to improve the performance of teachers. Under the lens of the cognitive theory of load, this study contributes to the literature on time pressure, psychological empowerment and teacher performance by introducing a novel concept and novel research framework.A gendered multigroup analysis of teachers' in-role and extra-role performance: the effect of time pressure during COVID-19
Shahzad Ali, Nor Azam Abdul Razak, Bakti Hasan-Basri, Hasnain Ali
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study investigated the in-role and extra-role performance of male and female teachers. Multigroup Analysis is applied to the unique combination of independent variable time pressures, mediating variable psychological empowerment and dependent variable teacher in-role and extra-role performance.

The reason for employing a distinctive methodology is because of male and female characteristics. In addition, data were gathered during COVID-19 using convenient sampling techniques from male and female teachers working in Pakistani higher education institutions.

The results showed that time has a significant impact on how well male and female teachers do their jobs. According to the gendered characteristics, psychological empowerment significantly intervenes between time pressure and teacher performance. Furthermore, the result provides policymakers with guidelines while assigning the task to teachers.

This article highlighted the issues of performance under time pressure imposed by an educational institution's employer and developed the mechanism for effective and efficient policies to improve the performance of teachers.

Under the lens of the cognitive theory of load, this study contributes to the literature on time pressure, psychological empowerment and teacher performance by introducing a novel concept and novel research framework.

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A gendered multigroup analysis of teachers' in-role and extra-role performance: the effect of time pressure during COVID-1910.1108/K-11-2022-1572Kybernetes2023-07-11© 2023 Emerald Publishing LimitedShahzad AliNor Azam Abdul RazakBakti Hasan-BasriHasnain AliKybernetesahead-of-printahead-of-print2023-07-1110.1108/K-11-2022-1572https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1572/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The impact of digital finance on stock price crash risk: evidence from Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1579/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe paper's purpose is to investigate the effects of digital finance on the risk of stock price crashes and the underlying transmission mechanisms, and to provide suggestions to inhibit the stock crash risk (CR). This paper selects all companies that were listed on the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2011 to 2020. It then uses the two-way fixed effect model and the intermediary effect model to verify such effects. The overall outcomes demonstrate such a result that the CR of listed companies in China can be significantly reduced by the development of digital finance, and the overall transparency of business financial information and the equity pledge of controlling shareholders are the two underlying transmission mechanisms that digital finance can cause effects on the CR of stocks. The main limitations are that there may exist some problems in the method for evaluating the CR of stocks. And there may be a problem of endogeneity caused by the empirical model cannot control all correlation variables. This paper would provide policy implications, for different roles, to inhibit the stock CR and to make the development of the economy more stabilize. Digital finance can promote economic development while restraining financial risks at the same time. Therefore, although this study is based on the relevant data from China, it can also provide a reference for other economies with different basic conditions from China, to promote the overall development of the world economy. The current academic research on digital finance or stock price CR has been relatively sufficient, but there are few papers that combined both. By combining digital finance with stock CR, this paper researches the influence of digital finance on the CR of stocks through empirical analysis. So, this paper would provide new research ideas and evidence for potential influence factors of the CR of stocks, fill the gap in this research field and provide certain help for subsequent scholars to conduct relevant research.The impact of digital finance on stock price crash risk: evidence from China
Wenjing Wang, Moting Wang, Yizhi Dong
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The paper's purpose is to investigate the effects of digital finance on the risk of stock price crashes and the underlying transmission mechanisms, and to provide suggestions to inhibit the stock crash risk (CR).

This paper selects all companies that were listed on the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2011 to 2020. It then uses the two-way fixed effect model and the intermediary effect model to verify such effects.

The overall outcomes demonstrate such a result that the CR of listed companies in China can be significantly reduced by the development of digital finance, and the overall transparency of business financial information and the equity pledge of controlling shareholders are the two underlying transmission mechanisms that digital finance can cause effects on the CR of stocks.

The main limitations are that there may exist some problems in the method for evaluating the CR of stocks. And there may be a problem of endogeneity caused by the empirical model cannot control all correlation variables.

This paper would provide policy implications, for different roles, to inhibit the stock CR and to make the development of the economy more stabilize.

Digital finance can promote economic development while restraining financial risks at the same time. Therefore, although this study is based on the relevant data from China, it can also provide a reference for other economies with different basic conditions from China, to promote the overall development of the world economy.

The current academic research on digital finance or stock price CR has been relatively sufficient, but there are few papers that combined both. By combining digital finance with stock CR, this paper researches the influence of digital finance on the CR of stocks through empirical analysis. So, this paper would provide new research ideas and evidence for potential influence factors of the CR of stocks, fill the gap in this research field and provide certain help for subsequent scholars to conduct relevant research.

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The impact of digital finance on stock price crash risk: evidence from China10.1108/K-11-2022-1579Kybernetes2023-02-16© 2023 Emerald Publishing LimitedWenjing WangMoting WangYizhi DongKybernetesahead-of-printahead-of-print2023-02-1610.1108/K-11-2022-1579https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1579/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Video platform pricing strategy considering content purchasehttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1580/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the paper is to construct a model that considers video purchase and then identifies the logical relationships implied by the parameters to explore video platform operation mechanisms. The authors analyzed the video platform system using a mathematical modeling approach and numerical optimization techniques. Through pricing decisions, the authors obtained equilibrium results for the profitability of the video platforms and analyzed the favorable market factors. The authors then extended the model by analyzing the competitive strategies of the two video platforms in the market. The authors find that advertiser profitability, ad nuisance, video sensitivity and video creator network effects are important factors influencing the pricing strategy of video platforms. During positive market conditions, video platforms tend to lower their prices until they absorb enough users. As market conditions change, the price adjustment strategies of video platforms are affected by parameter changes and inter-parameter relationships. The study considers the network effects of video creators, which provides a realistic reference for scholars and managers. In addition, the authors consider the bargaining power of platforms when purchasing content. The authors provide a fresh perspective for scholars while filling a gap in the field as video platforms can acquire a portion of the content on the market by setting a purchase price.Video platform pricing strategy considering content purchase
Weifeng Li, Minghui Jiang, Wentao Zhan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the paper is to construct a model that considers video purchase and then identifies the logical relationships implied by the parameters to explore video platform operation mechanisms.

The authors analyzed the video platform system using a mathematical modeling approach and numerical optimization techniques. Through pricing decisions, the authors obtained equilibrium results for the profitability of the video platforms and analyzed the favorable market factors. The authors then extended the model by analyzing the competitive strategies of the two video platforms in the market.

The authors find that advertiser profitability, ad nuisance, video sensitivity and video creator network effects are important factors influencing the pricing strategy of video platforms. During positive market conditions, video platforms tend to lower their prices until they absorb enough users. As market conditions change, the price adjustment strategies of video platforms are affected by parameter changes and inter-parameter relationships.

The study considers the network effects of video creators, which provides a realistic reference for scholars and managers. In addition, the authors consider the bargaining power of platforms when purchasing content. The authors provide a fresh perspective for scholars while filling a gap in the field as video platforms can acquire a portion of the content on the market by setting a purchase price.

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Video platform pricing strategy considering content purchase10.1108/K-11-2022-1580Kybernetes2023-05-15© 2023 Emerald Publishing LimitedWeifeng LiMinghui JiangWentao ZhanKybernetesahead-of-printahead-of-print2023-05-1510.1108/K-11-2022-1580https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1580/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Work–family conflict and organizational outcomes: moderating effect of intrinsic motivation among women in health care sector of Pakistanhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1581/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study analyses the organizational consequences of work–family conflict (WFC) among female nurses in health care sector. Moreover, this study focuses on the moderating effect of intrinsic motivation on the association between WFC dimensions with different organizational outcomes. Data are collected from 347 female nurses working in health care sector at Islamabad, Rawalpindi, Lahore, Multan and Bahawalpur regions of Pakistan, using random sampling technique. Regression analysis is used to test the hypotheses of this study. The findings demonstrate that WFC conflict lowers job satisfaction, affective commitment and organizational citizenship behaviour. Contrary, WFC reduces job satisfaction, affective commitment and organizational citizenship behaviour and increases turnover intentions among female nurses. Moreover, intrinsic motivation moderates the association between WFC and certain organizational outcomes. The study offers valuable insights for female nurses at health care sector about WFC and finally leads to theoretical contributions and practical implications for the healthcare sector of Pakistan.Work–family conflict and organizational outcomes: moderating effect of intrinsic motivation among women in health care sector of Pakistan
Hira Jamshed, Sadaf Noor, Hafiz Yasir Ali, Hafiz Muhammad Arshad, Muhammad Asrar-ul-Haq
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study analyses the organizational consequences of work–family conflict (WFC) among female nurses in health care sector. Moreover, this study focuses on the moderating effect of intrinsic motivation on the association between WFC dimensions with different organizational outcomes.

Data are collected from 347 female nurses working in health care sector at Islamabad, Rawalpindi, Lahore, Multan and Bahawalpur regions of Pakistan, using random sampling technique. Regression analysis is used to test the hypotheses of this study.

The findings demonstrate that WFC conflict lowers job satisfaction, affective commitment and organizational citizenship behaviour. Contrary, WFC reduces job satisfaction, affective commitment and organizational citizenship behaviour and increases turnover intentions among female nurses. Moreover, intrinsic motivation moderates the association between WFC and certain organizational outcomes.

The study offers valuable insights for female nurses at health care sector about WFC and finally leads to theoretical contributions and practical implications for the healthcare sector of Pakistan.

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Work–family conflict and organizational outcomes: moderating effect of intrinsic motivation among women in health care sector of Pakistan10.1108/K-11-2022-1581Kybernetes2023-07-25© 2023 Emerald Publishing LimitedHira JamshedSadaf NoorHafiz Yasir AliHafiz Muhammad ArshadMuhammad Asrar-ul-HaqKybernetesahead-of-printahead-of-print2023-07-2510.1108/K-11-2022-1581https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1581/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Can innovation improve the residents' subjective well-being? Evidence from Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1584/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper attempts to study the relationship between the level of urban innovation and subjective well-being (SWB). The following questions are discussed: (1) Does improving the level of innovation in cities affect the SWB of residents? (2) If urban innovation levels affect residents' SWB, can improving urban innovation level improve residents' SWB? (2) If urban innovation level improves residents' SWB, what is the possible mechanism? (3) Is there any difference in the effect of urban innovation level on the SWB of different groups? This paper chooses the ordinary least squares (OLS) regression method for baseline regression with robust standard errors, and the regression results of Oprobit will be presented in detail in the robustness test section. The model is constructed by matching the micro data and the macro data. Meanwhile, the instrumental variable (IV) method is also used to deal with the possible endogeneity problem. This paper finds that urban innovation has significantly improved the SWB of residents. This finding still holds after considering the endogeneity issue and conducting a series of robustness tests. Moreover, the level of innovation positively influences residents' SWB mainly through the paths of increasing income levels, improving environmental quality and promoting convenience in life. What's more, urban innovation has a more significant effect on the SWB of low-income groups and those with low education levels. Finally, based on the findings, this paper also proposes some policy recommendations to further improve the SWB of residents. Given the limitations of the data, the above study deals with China. In the future, international data can be further used to further explore the impact of the innovation level of international cities on the SWB of residents and then the research conclusions can be applied to the international community to provide theoretical basis and empirical support for policy makers of various countries, which will help improve the SWB of residents of various countries and enrich the theoretical and empirical research on the impact of innovation on the SWB of residents. Well-being is a goal constantly pursued by human beings. This paper shows that urban innovation has significantly improved the SWB of residents. The findings provide guides to improve the SWB of residents and provide a certain theoretical basis and empirical reference for policy makers. The possible innovations or contributions of this paper include: (1) based on the China Household Income Survey (CHIP) and the “Report on Innovation of Chinese Cities and Industries”, this paper studies the impact of urban innovation levels on residents' SWB, supplementing the gaps in existing literature; (2) through group analysis, the heterogeneity of the impact of urban innovation level on groups with different incomes and education levels was discussed and (3) the mechanism of urban innovation level on residents' SWB was identified. These studies and discussions provide a basis for more effective improvement of residents' SWB and provide a valuable reference for promoting people's pursuit of a better life.Can innovation improve the residents' subjective well-being? Evidence from China
Man Zhao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper attempts to study the relationship between the level of urban innovation and subjective well-being (SWB). The following questions are discussed: (1) Does improving the level of innovation in cities affect the SWB of residents? (2) If urban innovation levels affect residents' SWB, can improving urban innovation level improve residents' SWB? (2) If urban innovation level improves residents' SWB, what is the possible mechanism? (3) Is there any difference in the effect of urban innovation level on the SWB of different groups?

This paper chooses the ordinary least squares (OLS) regression method for baseline regression with robust standard errors, and the regression results of Oprobit will be presented in detail in the robustness test section. The model is constructed by matching the micro data and the macro data. Meanwhile, the instrumental variable (IV) method is also used to deal with the possible endogeneity problem.

This paper finds that urban innovation has significantly improved the SWB of residents. This finding still holds after considering the endogeneity issue and conducting a series of robustness tests. Moreover, the level of innovation positively influences residents' SWB mainly through the paths of increasing income levels, improving environmental quality and promoting convenience in life. What's more, urban innovation has a more significant effect on the SWB of low-income groups and those with low education levels. Finally, based on the findings, this paper also proposes some policy recommendations to further improve the SWB of residents.

Given the limitations of the data, the above study deals with China. In the future, international data can be further used to further explore the impact of the innovation level of international cities on the SWB of residents and then the research conclusions can be applied to the international community to provide theoretical basis and empirical support for policy makers of various countries, which will help improve the SWB of residents of various countries and enrich the theoretical and empirical research on the impact of innovation on the SWB of residents.

Well-being is a goal constantly pursued by human beings. This paper shows that urban innovation has significantly improved the SWB of residents. The findings provide guides to improve the SWB of residents and provide a certain theoretical basis and empirical reference for policy makers.

The possible innovations or contributions of this paper include: (1) based on the China Household Income Survey (CHIP) and the “Report on Innovation of Chinese Cities and Industries”, this paper studies the impact of urban innovation levels on residents' SWB, supplementing the gaps in existing literature; (2) through group analysis, the heterogeneity of the impact of urban innovation level on groups with different incomes and education levels was discussed and (3) the mechanism of urban innovation level on residents' SWB was identified. These studies and discussions provide a basis for more effective improvement of residents' SWB and provide a valuable reference for promoting people's pursuit of a better life.

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Can innovation improve the residents' subjective well-being? Evidence from China10.1108/K-11-2022-1584Kybernetes2023-09-06© 2023 Emerald Publishing LimitedMan ZhaoKybernetesahead-of-printahead-of-print2023-09-0610.1108/K-11-2022-1584https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1584/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Modeling the effect of word-of-mouth advertising on a mobile game installation based on the Bass diffusion model using system dynamicshttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1585/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe basic purpose of this study is to increase the installation rate of mobile games and their life cycle. Little research has been conducted into the competitive market of mobile games and word-of-mouth (WOM), advertisement and quality simultaneously. In this paper, the authors aim to assist developers with a better understanding of how to invest in the game industry. The primitive modeling has been made based on the Bass diffusion model and its extensions using features related to the game industry. Modeling and simulation have been performed using the system dynamics method. The results show that if game developers only focus on advertising at the introduction of the game to the market, and neglect quality features, uninstall rate of adopters increases and the game life cycle decreases. And if developers only focus on the quality improvement of the game, and ignore advertisement, they couldn't create enough WOM and thus game installation wouldn't grow enough to create revenue. Furthermore, as long as the pleasure of the game is high for its adopters, developers shouldn't give up on investing in advertising to create even higher WOM. And also in communities with higher levels of variety-seeking among game players, quality is important at the start and advertisement is vital in the following steps of the game life cycle. And if the contact rate among people is high, developers could focus on quality more than the advertisement. Even though WOM in mobile game installation is crucial, fewer studies have been done in this area and they only address the problem using qualitative or statistical methods. The quantitative system dynamics approach based on the Bass diffusion model, used in this research, fixes the shortcomings of the previous studies. Moreover, due to serious competition in the mobile game industry, only those developers can remain in the market who can predict the future trend of the game market. Furthermore, game development is a creative process and its key factors include engaging the gamers and monetizing.Modeling the effect of word-of-mouth advertising on a mobile game installation based on the Bass diffusion model using system dynamics
Mostafa Jafari, Mohammadreza Parsanejad, Mahshidsadat Makki
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The basic purpose of this study is to increase the installation rate of mobile games and their life cycle. Little research has been conducted into the competitive market of mobile games and word-of-mouth (WOM), advertisement and quality simultaneously. In this paper, the authors aim to assist developers with a better understanding of how to invest in the game industry.

The primitive modeling has been made based on the Bass diffusion model and its extensions using features related to the game industry. Modeling and simulation have been performed using the system dynamics method.

The results show that if game developers only focus on advertising at the introduction of the game to the market, and neglect quality features, uninstall rate of adopters increases and the game life cycle decreases. And if developers only focus on the quality improvement of the game, and ignore advertisement, they couldn't create enough WOM and thus game installation wouldn't grow enough to create revenue. Furthermore, as long as the pleasure of the game is high for its adopters, developers shouldn't give up on investing in advertising to create even higher WOM. And also in communities with higher levels of variety-seeking among game players, quality is important at the start and advertisement is vital in the following steps of the game life cycle. And if the contact rate among people is high, developers could focus on quality more than the advertisement.

Even though WOM in mobile game installation is crucial, fewer studies have been done in this area and they only address the problem using qualitative or statistical methods. The quantitative system dynamics approach based on the Bass diffusion model, used in this research, fixes the shortcomings of the previous studies. Moreover, due to serious competition in the mobile game industry, only those developers can remain in the market who can predict the future trend of the game market. Furthermore, game development is a creative process and its key factors include engaging the gamers and monetizing.

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Modeling the effect of word-of-mouth advertising on a mobile game installation based on the Bass diffusion model using system dynamics10.1108/K-11-2022-1585Kybernetes2023-05-11© 2023 Emerald Publishing LimitedMostafa JafariMohammadreza ParsanejadMahshidsadat MakkiKybernetesahead-of-printahead-of-print2023-05-1110.1108/K-11-2022-1585https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1585/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Do retailer competition and partial vertical shareholding contribute to carbon abatement and the social environment?https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1592/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper considers carbon abatement in a competitive supply chain that is composed of a manufacturer and two retailers under vertical shareholding. The authors emphasize the equilibrium decision problem of stakeholders under vertical shareholding and different power structures. A game-theoretic approach was used to probe the influence of power structure and retailer competition on manufacturers' carbon abatement under vertical shareholding. The carbon abatement decisions, environmental imp4cacts (EIs) and social welfare (SW) of different scenarios under vertical shareholding are obtained. The findings show that manufacturers are preferable to carbon abatement and capture optimal profits when shareholding is above a threshold under the retailer power equilibrium, but they may exert a worse negative impact on the environment. The dominant position of the held retailer is not always favorable to capturing the optimal SW and mitigating EIs. In addition, under the combined effect of competition level and shareholding, retailer power equilibrium scenarios are more favorable to improving SW and reducing EIs. This paper inspects the combined influence of retailer competition and power structure on manufacturers' carbon abatement. Distinguishing from previous literature, the authors also consider the impact of vertical shareholding and consumer preferences. In addition, the authors analyze the SW and EIs in different scenarios.Do retailer competition and partial vertical shareholding contribute to carbon abatement and the social environment?
Hua Wang, Cuicui Wang, Yanle Xie
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper considers carbon abatement in a competitive supply chain that is composed of a manufacturer and two retailers under vertical shareholding. The authors emphasize the equilibrium decision problem of stakeholders under vertical shareholding and different power structures.

A game-theoretic approach was used to probe the influence of power structure and retailer competition on manufacturers' carbon abatement under vertical shareholding. The carbon abatement decisions, environmental imp4cacts (EIs) and social welfare (SW) of different scenarios under vertical shareholding are obtained.

The findings show that manufacturers are preferable to carbon abatement and capture optimal profits when shareholding is above a threshold under the retailer power equilibrium, but they may exert a worse negative impact on the environment. The dominant position of the held retailer is not always favorable to capturing the optimal SW and mitigating EIs. In addition, under the combined effect of competition level and shareholding, retailer power equilibrium scenarios are more favorable to improving SW and reducing EIs.

This paper inspects the combined influence of retailer competition and power structure on manufacturers' carbon abatement. Distinguishing from previous literature, the authors also consider the impact of vertical shareholding and consumer preferences. In addition, the authors analyze the SW and EIs in different scenarios.

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Do retailer competition and partial vertical shareholding contribute to carbon abatement and the social environment?10.1108/K-11-2022-1592Kybernetes2023-12-04© 2023 Emerald Publishing LimitedHua WangCuicui WangYanle XieKybernetesahead-of-printahead-of-print2023-12-0410.1108/K-11-2022-1592https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1592/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How does channel integration quality promote omnichannel customer citizenship behavior? The moderating role of the number of channels used and genderhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1594/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestBuilding on stimulus organism response theory, the current study examines the influence of channel integration quality dimensions (channel service configuration and integrated interactions) on the omnichannel retail store's shoppers' satisfaction, trust and commitment, subsequently leading to customer citizenship behavior (CCB). It examines the relationships proposed against boundary conditions, the number of channels used during the purchase and gender. The research is descriptive, quantitative and cross-sectional investigation. It was conducted using data from 451 Indian omnichannel shoppers using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM and PLS-MGA. The results indicate that channel service configuration positively impact the dimensions of relationship quality of the omnichannel shoppers. However, integrated interactions influence trust and commitment directly but affect satisfaction indirectly through trust. Subsequently, relationship quality significantly explains CCB. The model results show r2 = 0.402 for CCB; that is, 40.2% of CCB is explained by channel integration and relationship quality. The moderating effect of the number of purchase channels used and gender on all proposed relationships were tested. PLS-MGA results revealed channel service configuration led to shopper commitment, subsequently impacting CCB. The effect was more among shoppers who used more than 2 channels. The impact of channel service configuration on commitment was seen more among female shoppers. Male and female shoppers exhibited satisfaction-driven and trust-driven citizenship behavior, respectively. The study is carried out in the Indian population, where omnichannel retailing is still in the nascent stage. This is the first study to demonstrate channel integration quality may influence customer citizenship behavior through relationship quality dimensions, tested against boundary conditions, the number of channels used during the purchase and gender. The findings from this research would help retail store managers design their omnichannel operations to encourage firm-beneficial value co-creation behaviors among omnichannel shoppers.How does channel integration quality promote omnichannel customer citizenship behavior? The moderating role of the number of channels used and gender
Thamaraiselvan Natarajan, Deepak Ramanan Veera Raghavan, Jegan Jayapal
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Building on stimulus organism response theory, the current study examines the influence of channel integration quality dimensions (channel service configuration and integrated interactions) on the omnichannel retail store's shoppers' satisfaction, trust and commitment, subsequently leading to customer citizenship behavior (CCB). It examines the relationships proposed against boundary conditions, the number of channels used during the purchase and gender.

The research is descriptive, quantitative and cross-sectional investigation. It was conducted using data from 451 Indian omnichannel shoppers using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM and PLS-MGA.

The results indicate that channel service configuration positively impact the dimensions of relationship quality of the omnichannel shoppers. However, integrated interactions influence trust and commitment directly but affect satisfaction indirectly through trust. Subsequently, relationship quality significantly explains CCB. The model results show r2 = 0.402 for CCB; that is, 40.2% of CCB is explained by channel integration and relationship quality. The moderating effect of the number of purchase channels used and gender on all proposed relationships were tested. PLS-MGA results revealed channel service configuration led to shopper commitment, subsequently impacting CCB. The effect was more among shoppers who used more than 2 channels. The impact of channel service configuration on commitment was seen more among female shoppers. Male and female shoppers exhibited satisfaction-driven and trust-driven citizenship behavior, respectively.

The study is carried out in the Indian population, where omnichannel retailing is still in the nascent stage.

This is the first study to demonstrate channel integration quality may influence customer citizenship behavior through relationship quality dimensions, tested against boundary conditions, the number of channels used during the purchase and gender. The findings from this research would help retail store managers design their omnichannel operations to encourage firm-beneficial value co-creation behaviors among omnichannel shoppers.

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How does channel integration quality promote omnichannel customer citizenship behavior? The moderating role of the number of channels used and gender10.1108/K-11-2022-1594Kybernetes2023-05-05© 2023 Emerald Publishing LimitedThamaraiselvan NatarajanDeepak Ramanan Veera RaghavanJegan JayapalKybernetesahead-of-printahead-of-print2023-05-0510.1108/K-11-2022-1594https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1594/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Halal industry in Uzbekistan: analysis using the Viable System Modelhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1598/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUzbekistan, a former Soviet Union state whose population is 96% Muslim, is aiming to penetrate the global halal market. Since 2016, its government has been committed to establishing a halal economy, purportedly comprising halal product exports and inbound halal tourism services. Given that a conducive halal ecosystem is a critical condition for creating and sustaining a viable halal economy, the current condition of the halal industry in the country must be diagnosed. For this purpose, we developed a diagnostic framework based on the halal principles and the Viable System Model (VSM) to identify the existing players and stakeholders in the halal industry ecosystem in Uzbekistan and their respective roles and functions, as well as the information flows amongst them. The study utilised the qualitative methodology with the data gathered mainly from in-depth interviews with industry experts and consumers in Uzbekistan. The findings revealed that the country has considerable potential to develop its halal tourism market due to its beautiful landscape, rich history and cultural heritage, which is supported by a full-fledged development policy. Uzbekistan's industrial sector exhibits substantial readiness to serve the Muslim market; however, the country lacks a specific policy for the development of the halal manufacturing export industry. Our findings generate emergent themes that are relevant to the operations and future viability of halal industry of a Muslim country in a transitioning economy. These emerging themes further strengthened existing conceptualisation of the Viable System Model in terms of the elements of the environment and the function of policymaking in contributing toward a system's viability. Implications of the findings and suggestions for future research are also provided.Halal industry in Uzbekistan: analysis using the Viable System Model
Khairul Akmaliah Adham, Adlin Masood, Nur Sa'adah Muhamad, Zizah Che Senik
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Uzbekistan, a former Soviet Union state whose population is 96% Muslim, is aiming to penetrate the global halal market. Since 2016, its government has been committed to establishing a halal economy, purportedly comprising halal product exports and inbound halal tourism services. Given that a conducive halal ecosystem is a critical condition for creating and sustaining a viable halal economy, the current condition of the halal industry in the country must be diagnosed. For this purpose, we developed a diagnostic framework based on the halal principles and the Viable System Model (VSM) to identify the existing players and stakeholders in the halal industry ecosystem in Uzbekistan and their respective roles and functions, as well as the information flows amongst them.

The study utilised the qualitative methodology with the data gathered mainly from in-depth interviews with industry experts and consumers in Uzbekistan.

The findings revealed that the country has considerable potential to develop its halal tourism market due to its beautiful landscape, rich history and cultural heritage, which is supported by a full-fledged development policy. Uzbekistan's industrial sector exhibits substantial readiness to serve the Muslim market; however, the country lacks a specific policy for the development of the halal manufacturing export industry.

Our findings generate emergent themes that are relevant to the operations and future viability of halal industry of a Muslim country in a transitioning economy. These emerging themes further strengthened existing conceptualisation of the Viable System Model in terms of the elements of the environment and the function of policymaking in contributing toward a system's viability. Implications of the findings and suggestions for future research are also provided.

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Halal industry in Uzbekistan: analysis using the Viable System Model10.1108/K-11-2022-1598Kybernetes2023-06-08© 2023 Emerald Publishing LimitedKhairul Akmaliah AdhamAdlin MasoodNur Sa'adah MuhamadZizah Che SenikKybernetesahead-of-printahead-of-print2023-06-0810.1108/K-11-2022-1598https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1598/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Training investment, human capital upgrading and firm innovation: the role of government training subsidieshttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1617/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestHuman capital is acquired not only through formal education (e.g. general skills) but also through training at the workplace. Prior studies have ignored the role of government subsidies explicitly for on-the-job training, which may influence firm training decisions and firm innovation performance. Hence, the authors establish a comprehensive theoretical framework to consider these issues and fill these gaps. Considering the Chinese manufacturing firms listed in the Shanghai and Shenzhen Stock Exchange from 2010 to 2017, the authors investigate the influence of training investment on innovation performance by illustrating the role of human capital updating in enhancing firm innovation. The authors also explore serval mechanisms on how training investment influences innovation performance. The authors propose that training investment promotes firm innovation performance, whereas government training subsidies negatively moderate this relationship. The authors also reveal how technicists' involvement and corporate culture mediate the relationship between training investment and innovation performance. This study provides policy implications for stimulating firm innovation by improving learning and absorption ability, strengthening cultural identity and implementing system norms. Effective policies should be adopted to provide subsidies for on-the-job training of enterprises, particularly for firms with technical executives and firms in diversified life-cycle. This work contributes to the literature on the role of on-the-job training in promoting firm innovation and reveals the crowding-out effect of subsidies. This study also shows the heterogeneous effects of training investment on firm innovation.Training investment, human capital upgrading and firm innovation: the role of government training subsidies
Huiqiang Ni, Wenlong Liu, Zhen Yang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Human capital is acquired not only through formal education (e.g. general skills) but also through training at the workplace. Prior studies have ignored the role of government subsidies explicitly for on-the-job training, which may influence firm training decisions and firm innovation performance. Hence, the authors establish a comprehensive theoretical framework to consider these issues and fill these gaps.

Considering the Chinese manufacturing firms listed in the Shanghai and Shenzhen Stock Exchange from 2010 to 2017, the authors investigate the influence of training investment on innovation performance by illustrating the role of human capital updating in enhancing firm innovation. The authors also explore serval mechanisms on how training investment influences innovation performance.

The authors propose that training investment promotes firm innovation performance, whereas government training subsidies negatively moderate this relationship. The authors also reveal how technicists' involvement and corporate culture mediate the relationship between training investment and innovation performance.

This study provides policy implications for stimulating firm innovation by improving learning and absorption ability, strengthening cultural identity and implementing system norms. Effective policies should be adopted to provide subsidies for on-the-job training of enterprises, particularly for firms with technical executives and firms in diversified life-cycle.

This work contributes to the literature on the role of on-the-job training in promoting firm innovation and reveals the crowding-out effect of subsidies. This study also shows the heterogeneous effects of training investment on firm innovation.

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Training investment, human capital upgrading and firm innovation: the role of government training subsidies10.1108/K-11-2022-1617Kybernetes2023-04-26© 2023 Emerald Publishing LimitedHuiqiang NiWenlong LiuZhen YangKybernetesahead-of-printahead-of-print2023-04-2610.1108/K-11-2022-1617https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1617/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The adoption of smart banking services from a dual perspective: a qualitative studyhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1618/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to understand the facilitators and inhibitors that might influence customers' adoption of smart banking services (SBS) in Pakistan. Semi-structured interviews were conducted with 33 bank customers in Multan and Lahore using a case study design. Cases were selected using a purposive sampling strategy with maximum variation. A thematic content analysis (TCA) was performed to analyze the qualitative data. The findings of this study support the notion that SBS has become a sine qua non of 21st-century banking owing to performance expectancy, effort expectancy, social influence, price value, facilitating conditions, habit and hedonic motivation. However, information privacy concerns and big brother effect impair customers' cognitive, personal and social experiences, creating an obstacle toward SBS adoption. Studying SBS adoption only in Pakistan represents the perspective of a developing country, which limits the generalizability of the findings. Pakistani customers' demand for SBS can be linked to its performance. By upgrading technology, banks can improve the usefulness of these services. The first scholarly inquiry explores the facilitators and inhibitors that could influence the adoption of SBS in Pakistan.The adoption of smart banking services from a dual perspective: a qualitative study
Muhammad Hassaan, Gang Li, Asif Yaseen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to understand the facilitators and inhibitors that might influence customers' adoption of smart banking services (SBS) in Pakistan.

Semi-structured interviews were conducted with 33 bank customers in Multan and Lahore using a case study design. Cases were selected using a purposive sampling strategy with maximum variation. A thematic content analysis (TCA) was performed to analyze the qualitative data.

The findings of this study support the notion that SBS has become a sine qua non of 21st-century banking owing to performance expectancy, effort expectancy, social influence, price value, facilitating conditions, habit and hedonic motivation. However, information privacy concerns and big brother effect impair customers' cognitive, personal and social experiences, creating an obstacle toward SBS adoption.

Studying SBS adoption only in Pakistan represents the perspective of a developing country, which limits the generalizability of the findings.

Pakistani customers' demand for SBS can be linked to its performance. By upgrading technology, banks can improve the usefulness of these services.

The first scholarly inquiry explores the facilitators and inhibitors that could influence the adoption of SBS in Pakistan.

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The adoption of smart banking services from a dual perspective: a qualitative study10.1108/K-11-2022-1618Kybernetes2023-04-28© 2023 Emerald Publishing LimitedMuhammad HassaanGang LiAsif YaseenKybernetesahead-of-printahead-of-print2023-04-2810.1108/K-11-2022-1618https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1618/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How to deeply embed the digital economy into the product quality upgrade? The moderating effect of resource allocationhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1619/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper evaluates the level of the digital economy in Chinese cities based on digital industrialization and industrial digitalization. The research focuses on the effects of spatial mechanism of the urban digital economy on the quality of firms’ exported products. The authors use the principal component analysis method to evaluate the level of China’s urban digital economy, and spatial metrology to measure the spatial effects of the digital economy on product quality. The findings suggest that the urban digital economy can expand the quality of firms’ exports. The digital economy has spatial dependence, spatial spillover and spatial heterogeneity on product quality. At the same time, the spatial effect has a significant nonlinear effect and threshold effect. Further decomposition shows that industrial digitalization is the core factor of enterprises’ export products quality, and the micro-mechanism of this impact is mainly manifested in optimization of resource allocation. The innovation of this paper is reflected explicitly in exploring the quality upgrading of export products from the background of the digital economy, providing a reference for the improvement of China’s export trade competitiveness and the cultivation of a trade power. The authors studied two different mechanisms (specialization division of labor and optimization of resource allocation) to explain the spatial imbalance of export product quality to provide empirical support for enterprises and government departments to formulate quality upgrading policies accurately.How to deeply embed the digital economy into the product quality upgrade? The moderating effect of resource allocation
Chenghui Dong, Dexue Liu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper evaluates the level of the digital economy in Chinese cities based on digital industrialization and industrial digitalization. The research focuses on the effects of spatial mechanism of the urban digital economy on the quality of firms’ exported products.

The authors use the principal component analysis method to evaluate the level of China’s urban digital economy, and spatial metrology to measure the spatial effects of the digital economy on product quality.

The findings suggest that the urban digital economy can expand the quality of firms’ exports. The digital economy has spatial dependence, spatial spillover and spatial heterogeneity on product quality. At the same time, the spatial effect has a significant nonlinear effect and threshold effect. Further decomposition shows that industrial digitalization is the core factor of enterprises’ export products quality, and the micro-mechanism of this impact is mainly manifested in optimization of resource allocation.

The innovation of this paper is reflected explicitly in exploring the quality upgrading of export products from the background of the digital economy, providing a reference for the improvement of China’s export trade competitiveness and the cultivation of a trade power. The authors studied two different mechanisms (specialization division of labor and optimization of resource allocation) to explain the spatial imbalance of export product quality to provide empirical support for enterprises and government departments to formulate quality upgrading policies accurately.

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How to deeply embed the digital economy into the product quality upgrade? The moderating effect of resource allocation10.1108/K-11-2022-1619Kybernetes2023-06-15© 2023 Emerald Publishing LimitedChenghui DongDexue LiuKybernetesahead-of-printahead-of-print2023-06-1510.1108/K-11-2022-1619https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1619/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
When and how big data analytics and work practices impact on financial performance: an intellectual capital perspective from banking industryhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1623/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to determine the role of intellectual capital (IC) on financial performance (FP), the mediating effect of high-performance work practices (HPWPs) and the moderating role of big data analytics on the banking sector operating in Pakistan. This study collected quantitative and cross-sectional data using structured questionnaire forms distributed to selected targeted respondents using a convenient sampling technique. The 518 useable questionnaires were analysed using the SmartPLS software through a structural equation modelling technique to test the proposed research hypotheses. The study results revealed that IC has shown an impact on FP. The role of HPWP significantly mediates between IC and FP, while the moderating role of big data analytics remains insignificant. This study highlights IC's role in enhancing FP in the Pakistani banking sector. It will bring a higher quality IC in the banking sector, and they will be better positioned to serve the community. Policymakers need to invest in IC and HPWP and utilise BDA, which will boost FP and uplift the quality of the banking sector. This study extends the concept of IC and adds the theoretical role of HPWPs and big data analytics in the literature on IC, along with the contextual application. The study also develops a unique role of the integrated IC model theory with a relationship to the banking sector of Pakistan.When and how big data analytics and work practices impact on financial performance: an intellectual capital perspective from banking industry
Azhar Hussain, Qasim Ali Nisar, Waqas Khan, Umair Imran Niazi, Maida Malik
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to determine the role of intellectual capital (IC) on financial performance (FP), the mediating effect of high-performance work practices (HPWPs) and the moderating role of big data analytics on the banking sector operating in Pakistan.

This study collected quantitative and cross-sectional data using structured questionnaire forms distributed to selected targeted respondents using a convenient sampling technique. The 518 useable questionnaires were analysed using the SmartPLS software through a structural equation modelling technique to test the proposed research hypotheses.

The study results revealed that IC has shown an impact on FP. The role of HPWP significantly mediates between IC and FP, while the moderating role of big data analytics remains insignificant.

This study highlights IC's role in enhancing FP in the Pakistani banking sector. It will bring a higher quality IC in the banking sector, and they will be better positioned to serve the community. Policymakers need to invest in IC and HPWP and utilise BDA, which will boost FP and uplift the quality of the banking sector.

This study extends the concept of IC and adds the theoretical role of HPWPs and big data analytics in the literature on IC, along with the contextual application. The study also develops a unique role of the integrated IC model theory with a relationship to the banking sector of Pakistan.

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When and how big data analytics and work practices impact on financial performance: an intellectual capital perspective from banking industry10.1108/K-11-2022-1623Kybernetes2023-05-15© 2023 Emerald Publishing LimitedAzhar HussainQasim Ali NisarWaqas KhanUmair Imran NiaziMaida MalikKybernetesahead-of-printahead-of-print2023-05-1510.1108/K-11-2022-1623https://www.emerald.com/insight/content/doi/10.1108/K-11-2022-1623/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Unveiling metaverse sentiments using machine learning approacheshttps://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2268/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe metaverse, which is now revolutionizing how brands strategize their business needs, necessitates understanding individual opinions. Sentiment analysis deciphers emotions and uncovers a deeper understanding of user opinions and trends within this digital realm. Further, sentiments signify the underlying factor that triggers one’s intent to use technology like the metaverse. Positive sentiments often correlate with positive user experiences, while negative sentiments may signify issues or frustrations. Brands may consider these sentiments and implement them on their metaverse platforms for a seamless user experience. The current study adopts machine learning sentiment analysis techniques using Support Vector Machine, Doc2Vec, RNN, and CNN to explore the sentiment of individuals toward metaverse in a user-generated context. The topics were discovered using the topic modeling method, and sentiment analysis was performed subsequently. The results revealed that the users had a positive notion about the experience and orientation of the metaverse while having a negative attitude towards the economy, data, and cyber security. The accuracy of each model has been analyzed, and it has been concluded that CNN provides better accuracy on an average of 89% compared to the other models. Analyzing sentiment can reveal how the general public perceives the metaverse. Positive sentiment may suggest enthusiasm and readiness for adoption, while negative sentiment might indicate skepticism or concerns. Given the positive user notions about the metaverse’s experience and orientation, developers should continue to focus on creating innovative and immersive virtual environments. At the same time, users' concerns about data, cybersecurity and the economy are critical. The negative attitude toward the metaverse’s economy suggests a need for innovation in economic models within the metaverse. Also, developers and platform operators should prioritize robust data security measures. Implementing strong encryption and two-factor authentication and educating users about cybersecurity best practices can address these concerns and enhance user trust. In terms of societal dynamics, the metaverse could revolutionize communication and relationships by altering traditional notions of proximity and the presence of its users. Further, virtual economies might emerge, with virtual assets having real-world value, presenting both opportunities and challenges for industries and regulators. The current study contributes to research as it is the first of its kind to explore the sentiments of individuals toward the metaverse using deep learning techniques and evaluate the accuracy of these models.Unveiling metaverse sentiments using machine learning approaches
Thamaraiselvan Natarajan, P. Pragha, Krantiraditya Dhalmahapatra, Deepak Ramanan Veera Raghavan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The metaverse, which is now revolutionizing how brands strategize their business needs, necessitates understanding individual opinions. Sentiment analysis deciphers emotions and uncovers a deeper understanding of user opinions and trends within this digital realm. Further, sentiments signify the underlying factor that triggers one’s intent to use technology like the metaverse. Positive sentiments often correlate with positive user experiences, while negative sentiments may signify issues or frustrations. Brands may consider these sentiments and implement them on their metaverse platforms for a seamless user experience.

The current study adopts machine learning sentiment analysis techniques using Support Vector Machine, Doc2Vec, RNN, and CNN to explore the sentiment of individuals toward metaverse in a user-generated context. The topics were discovered using the topic modeling method, and sentiment analysis was performed subsequently.

The results revealed that the users had a positive notion about the experience and orientation of the metaverse while having a negative attitude towards the economy, data, and cyber security. The accuracy of each model has been analyzed, and it has been concluded that CNN provides better accuracy on an average of 89% compared to the other models.

Analyzing sentiment can reveal how the general public perceives the metaverse. Positive sentiment may suggest enthusiasm and readiness for adoption, while negative sentiment might indicate skepticism or concerns. Given the positive user notions about the metaverse’s experience and orientation, developers should continue to focus on creating innovative and immersive virtual environments. At the same time, users' concerns about data, cybersecurity and the economy are critical. The negative attitude toward the metaverse’s economy suggests a need for innovation in economic models within the metaverse. Also, developers and platform operators should prioritize robust data security measures. Implementing strong encryption and two-factor authentication and educating users about cybersecurity best practices can address these concerns and enhance user trust.

In terms of societal dynamics, the metaverse could revolutionize communication and relationships by altering traditional notions of proximity and the presence of its users. Further, virtual economies might emerge, with virtual assets having real-world value, presenting both opportunities and challenges for industries and regulators.

The current study contributes to research as it is the first of its kind to explore the sentiments of individuals toward the metaverse using deep learning techniques and evaluate the accuracy of these models.

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Unveiling metaverse sentiments using machine learning approaches10.1108/K-11-2023-2268Kybernetes2024-03-21© 2024 Emerald Publishing LimitedThamaraiselvan NatarajanP. PraghaKrantiraditya DhalmahapatraDeepak Ramanan Veera RaghavanKybernetesahead-of-printahead-of-print2024-03-2110.1108/K-11-2023-2268https://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2268/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Agricultural insurance and pesticides selection in China: traditional or green?https://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2284/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestNumerical literature shows that agricultural insurance can affect pesticide investments, but few of them are devoted to explain how agricultural insurance affects farmers’ selection on green or traditional pesticides. This paper aims to develop a theoretical model about how agricultural insurance influences on green pesticides selections and tests our conclusions by using the data from China land economic survey (CLES) from 2020 to 2021. We employ probit model to capture the effects of agricultural insurance on green pesticides adoption. We indicate that green pesticides have a stronger effect on stabilizing yield and increasing income than traditional pesticides, but there are still risks disturbing farmers’ decisions on green pesticides usage. By providing premium subsidies after the farmers are affected by natural risk, agricultural insurance improves the farmers’ expected income and encourages farmers to use green pesticides. Further, we further confirm these conclusions by considering different scenarios such as climate risks, farmers’ entrepreneurship and credit constraints. We find that the effects are more salient if croplands are under higher natural risks and, farmers are equipped with entrepreneurship and formal credit. This paper implies that the agricultural insurance decoupled with green technologies also have salient positive effects on agricultural pollution control. The potential contributions of this paper can be outlined in three aspects in detail. Firstly, this paper aims to revel the effects of agricultural insurance on pesticide selection by structuring a general theoretical model. By using the CLES data from 2020 to 2021, we confirm that agricultural insurance increases the probability for adopting green pesticides. Secondly, this paper discusses the effects of farmers’ characteristics on the results and finds that if farmers have entrepreneurship, the effects of agricultural insurance on green pesticide usage will be more salient. Thirdly, it uncovers some practices in China, which will supply experiences for other developing countries. For example, this paper further demonstrates that “insurance + credit” plan the present Chinese government carried out will be an important measure for strengthening effects of agricultural insurance on green pesticides usage. Moreover, it shows that decouple agricultural policies will also guide farmers to use green technologies eventually if the technologies are reliable and farmers can afford.Agricultural insurance and pesticides selection in China: traditional or green?
Zhuang Zhang, You Hua Chen
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Numerical literature shows that agricultural insurance can affect pesticide investments, but few of them are devoted to explain how agricultural insurance affects farmers’ selection on green or traditional pesticides. This paper aims to develop a theoretical model about how agricultural insurance influences on green pesticides selections and tests our conclusions by using the data from China land economic survey (CLES) from 2020 to 2021.

We employ probit model to capture the effects of agricultural insurance on green pesticides adoption.

We indicate that green pesticides have a stronger effect on stabilizing yield and increasing income than traditional pesticides, but there are still risks disturbing farmers’ decisions on green pesticides usage. By providing premium subsidies after the farmers are affected by natural risk, agricultural insurance improves the farmers’ expected income and encourages farmers to use green pesticides. Further, we further confirm these conclusions by considering different scenarios such as climate risks, farmers’ entrepreneurship and credit constraints. We find that the effects are more salient if croplands are under higher natural risks and, farmers are equipped with entrepreneurship and formal credit. This paper implies that the agricultural insurance decoupled with green technologies also have salient positive effects on agricultural pollution control.

The potential contributions of this paper can be outlined in three aspects in detail. Firstly, this paper aims to revel the effects of agricultural insurance on pesticide selection by structuring a general theoretical model. By using the CLES data from 2020 to 2021, we confirm that agricultural insurance increases the probability for adopting green pesticides. Secondly, this paper discusses the effects of farmers’ characteristics on the results and finds that if farmers have entrepreneurship, the effects of agricultural insurance on green pesticide usage will be more salient. Thirdly, it uncovers some practices in China, which will supply experiences for other developing countries. For example, this paper further demonstrates that “insurance + credit” plan the present Chinese government carried out will be an important measure for strengthening effects of agricultural insurance on green pesticides usage. Moreover, it shows that decouple agricultural policies will also guide farmers to use green technologies eventually if the technologies are reliable and farmers can afford.

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Agricultural insurance and pesticides selection in China: traditional or green?10.1108/K-11-2023-2284Kybernetes2024-02-26© 2024 Emerald Publishing LimitedZhuang ZhangYou Hua ChenKybernetesahead-of-printahead-of-print2024-02-2610.1108/K-11-2023-2284https://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2284/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
“Tektology”, VSM and the digital agehttps://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2310/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestI examine Bogdanov’s notion of Tektology within the context of modern communication systems and political agendas. The practicality of Tektology from the perspective of 21st century sensibilities. I argue that, like the implications of creating a suitable environment in Red Star, the practicality of enabling tektology in the 21st century is unlikely. Tektology was an idea created in the early 20th century and the social conditions of that era-especially in Russia. The work associated with it is Stafford Beers VSM – an idea of combining the two was suggested by Jackson in 2023. Clearly, the early ideas rely on the source material of that era which are taken within the context of now. A mixture of early 20th and 21st century references are referred to. To limit such a topic as this to the word limits of the journal necessitates reducing discussion, for example the link between Tektology and Happiness. It is not possible to test these ideas in a practical sense. The discussion relies upon what Tektology proposes and the way in which ICT is used in the 21 century. The only practical attempt of using technology as a major control system is that of Beer’s Chilean project but Tektolgy was more ambitious; it was aimed at creating a new society. The paper can only relate to observations about the way ICTs are used and controlled presently The paper highlights the way that communication platforms are used and controlled in western society and elsewhere. While attempts have been made to link Tektology to modern communication technologies few consider it within the context of 21st century cultural, political and media experience.“Tektology”, VSM and the digital age
Frank Stowell
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

I examine Bogdanov’s notion of Tektology within the context of modern communication systems and political agendas.

The practicality of Tektology from the perspective of 21st century sensibilities.

I argue that, like the implications of creating a suitable environment in Red Star, the practicality of enabling tektology in the 21st century is unlikely.

Tektology was an idea created in the early 20th century and the social conditions of that era-especially in Russia. The work associated with it is Stafford Beers VSM – an idea of combining the two was suggested by Jackson in 2023. Clearly, the early ideas rely on the source material of that era which are taken within the context of now. A mixture of early 20th and 21st century references are referred to. To limit such a topic as this to the word limits of the journal necessitates reducing discussion, for example the link between Tektology and Happiness.

It is not possible to test these ideas in a practical sense. The discussion relies upon what Tektology proposes and the way in which ICT is used in the 21 century. The only practical attempt of using technology as a major control system is that of Beer’s Chilean project but Tektolgy was more ambitious; it was aimed at creating a new society. The paper can only relate to observations about the way ICTs are used and controlled presently

The paper highlights the way that communication platforms are used and controlled in western society and elsewhere.

While attempts have been made to link Tektology to modern communication technologies few consider it within the context of 21st century cultural, political and media experience.

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“Tektology”, VSM and the digital age10.1108/K-11-2023-2310Kybernetes2024-03-21© 2024 Emerald Publishing LimitedFrank StowellKybernetesahead-of-printahead-of-print2024-03-2110.1108/K-11-2023-2310https://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2310/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Happy knowledge creators sustain nations: scale development and validation of happiness at workhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2334/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe significant role of universities in generating and diffusing new knowledge in the interest of society has positioned faculty as knowledge creators. The present study contributes to the domain of positive psychology by heeding the happiness call in academia. The research intends to develop and validate a scale for measuring happiness at work (HAW) for knowledge creators. The study is systematically designed across a series of four independent studies: (1) Dimensionality and item analysis, (2) scale purification, (3) scale refinement and nomological validation and (4) generalizability. Additionally, common method bias (CMB) was checked utilizing the marker variable technique. HAW has been established as a second-order reflective-reflective construct with six factors, namely work satisfaction, self-directedness, self-love, positive thinking, positive social relationships and work-family balance. The nomological validity and generalizability of the scale have also been established. The study is an attempt to address an important topic of HAW among knowledge creators. By conceptualizing HAW as a combination of intraindividual and organizational factors, this study offers a comprehensive measure of HAW that was previously absent in the literature. The results of the study will assist management in making strategic decisions to ensure the HAW of knowledge creators. Knowledge creators’ happiness is a major concern in academia and has received little attention till date. The primary contribution of this study is the conceptualization and development of a validated scale for measuring knowledge creators’ HAW. A valid and reliable scale for measuring HAW would enable researchers to gain fresh perspectives on the essence, attributes and quantification of this particularly noteworthy construct.Happy knowledge creators sustain nations: scale development and validation of happiness at work
Puja Khatri, Preeti Kumari, Asha Thomas
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The significant role of universities in generating and diffusing new knowledge in the interest of society has positioned faculty as knowledge creators. The present study contributes to the domain of positive psychology by heeding the happiness call in academia. The research intends to develop and validate a scale for measuring happiness at work (HAW) for knowledge creators.

The study is systematically designed across a series of four independent studies: (1) Dimensionality and item analysis, (2) scale purification, (3) scale refinement and nomological validation and (4) generalizability. Additionally, common method bias (CMB) was checked utilizing the marker variable technique.

HAW has been established as a second-order reflective-reflective construct with six factors, namely work satisfaction, self-directedness, self-love, positive thinking, positive social relationships and work-family balance. The nomological validity and generalizability of the scale have also been established.

The study is an attempt to address an important topic of HAW among knowledge creators. By conceptualizing HAW as a combination of intraindividual and organizational factors, this study offers a comprehensive measure of HAW that was previously absent in the literature. The results of the study will assist management in making strategic decisions to ensure the HAW of knowledge creators.

Knowledge creators’ happiness is a major concern in academia and has received little attention till date. The primary contribution of this study is the conceptualization and development of a validated scale for measuring knowledge creators’ HAW. A valid and reliable scale for measuring HAW would enable researchers to gain fresh perspectives on the essence, attributes and quantification of this particularly noteworthy construct.

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Happy knowledge creators sustain nations: scale development and validation of happiness at work10.1108/K-11-2023-2334Kybernetes2024-03-13© 2024 Emerald Publishing LimitedPuja KhatriPreeti KumariAsha ThomasKybernetesahead-of-printahead-of-print2024-03-1310.1108/K-11-2023-2334https://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2334/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
A two-stage decision model for sustainable-resilient supplier selection and order allocation under uncertain environmenthttps://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2347/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe paper aims to propose an innovative two-stage decision model to address the sustainable-resilient supplier selection and order allocation (SSOA) problem in the single-valued neutrosophic (SVN) environment. First, the sustainable and resilient performances of suppliers are evaluated by the proposed integrated SVN-base-criterion method (BCM)-an acronym in Portuguese of interactive and multi-criteria decision-making (TODIM) method, with consideration of the uncertainty in the decision-making process. Then, a novel multi-objective optimization model is formulated, and the best sustainable-resilient order allocation solution is found using the U-NSGA-III algorithm and TOPSIS method. Finally, based on a real-life case in the automotive manufacturing industry, experiments are conducted to demonstrate the application of the proposed two-stage decision model. The paper provides an effective decision tool for the SSOA process in an uncertain environment. The proposed SVN-BCM-TODIM approach can effectively handle the uncertainties from the decision-maker’s confidence degree and incomplete decision information and evaluate suppliers’ performance in different dimensions while avoiding the compensatory effect between criteria. Moreover, the proposed order allocation model proposes an original way to improve sustainable-resilient procurement values. The paper provides a supplier selection process that can effectively integrate sustainability and resilience evaluation in an uncertain environment and develops a sustainable-resilient procurement optimization model.A two-stage decision model for sustainable-resilient supplier selection and order allocation under uncertain environment
Lin Sun, Chunxia Yu, Jing Li, Qi Yuan, Shaoqiong Zhao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The paper aims to propose an innovative two-stage decision model to address the sustainable-resilient supplier selection and order allocation (SSOA) problem in the single-valued neutrosophic (SVN) environment.

First, the sustainable and resilient performances of suppliers are evaluated by the proposed integrated SVN-base-criterion method (BCM)-an acronym in Portuguese of interactive and multi-criteria decision-making (TODIM) method, with consideration of the uncertainty in the decision-making process. Then, a novel multi-objective optimization model is formulated, and the best sustainable-resilient order allocation solution is found using the U-NSGA-III algorithm and TOPSIS method. Finally, based on a real-life case in the automotive manufacturing industry, experiments are conducted to demonstrate the application of the proposed two-stage decision model.

The paper provides an effective decision tool for the SSOA process in an uncertain environment. The proposed SVN-BCM-TODIM approach can effectively handle the uncertainties from the decision-maker’s confidence degree and incomplete decision information and evaluate suppliers’ performance in different dimensions while avoiding the compensatory effect between criteria. Moreover, the proposed order allocation model proposes an original way to improve sustainable-resilient procurement values.

The paper provides a supplier selection process that can effectively integrate sustainability and resilience evaluation in an uncertain environment and develops a sustainable-resilient procurement optimization model.

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A two-stage decision model for sustainable-resilient supplier selection and order allocation under uncertain environment10.1108/K-11-2023-2347Kybernetes2024-03-15© 2024 Emerald Publishing LimitedLin SunChunxia YuJing LiQi YuanShaoqiong ZhaoKybernetesahead-of-printahead-of-print2024-03-1510.1108/K-11-2023-2347https://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2347/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Bibliometric mapping in the landscape of cybernetics: insights into global research networkshttps://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2365/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis bibliometric mapping study aimed to provide comprehensive insights into the global research landscape of cybernetics. Utilizing the biblioshiny function in R Studio, we conducted an analysis spanning 1958 to 2023, sourcing data from Scopus. This research focuses on key terms such as cybernetics, cybernetics systems, complex adaptive systems, viable system models (VSM), agent-based modeling, feedback loops and complexity systems. The analysis leveraged R Studio’s biblioshiny function to perform bibliometric mapping. Keyword searches were conducted within titles, abstracts and keywords, targeting terms central to cybernetics. The timespan, 1958–2023, provides a comprehensive overview of the evolution of cybernetics-related literature. The data were extracted from Scopus to ensure a robust and widely recognized source. The results revealed a rich and interconnected global research network in cybernetics. The word cloud analysis highlights prominent terms such as “agent-based modeling,” “complex adaptive systems,” “feedback loop,” “viable system model” and “cybernetics.” Notably, the journal Kybernetes has emerged as a focal point, with significant citations, solidifying its position as a key source within the cybernetics research domain. The bibliometric map provides visual clarity regarding the relationships between various concepts and their evolution over time. This study contributes original insights by employing advanced bibliometric techniques in R Studio to map the cybernetics research landscape. The comprehensive analysis sheds light on the evolution of key concepts and the global collaborative networks shaping cybernetics research. The identification of influential sources, such as Kybernetes, adds value to researchers seeking to navigate and contribute to the dynamic field of cybernetics. Furthermore, this study highlights that cybernetics not only provides a useful framework for understanding and managing major economic shocks but also offers perspectives for understanding phenomena in various fields such as economics, medicine, environmental sciences and climate change.Bibliometric mapping in the landscape of cybernetics: insights into global research networks
Ionut Nica
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This bibliometric mapping study aimed to provide comprehensive insights into the global research landscape of cybernetics. Utilizing the biblioshiny function in R Studio, we conducted an analysis spanning 1958 to 2023, sourcing data from Scopus. This research focuses on key terms such as cybernetics, cybernetics systems, complex adaptive systems, viable system models (VSM), agent-based modeling, feedback loops and complexity systems.

The analysis leveraged R Studio’s biblioshiny function to perform bibliometric mapping. Keyword searches were conducted within titles, abstracts and keywords, targeting terms central to cybernetics. The timespan, 1958–2023, provides a comprehensive overview of the evolution of cybernetics-related literature. The data were extracted from Scopus to ensure a robust and widely recognized source.

The results revealed a rich and interconnected global research network in cybernetics. The word cloud analysis highlights prominent terms such as “agent-based modeling,” “complex adaptive systems,” “feedback loop,” “viable system model” and “cybernetics.” Notably, the journal Kybernetes has emerged as a focal point, with significant citations, solidifying its position as a key source within the cybernetics research domain. The bibliometric map provides visual clarity regarding the relationships between various concepts and their evolution over time.

This study contributes original insights by employing advanced bibliometric techniques in R Studio to map the cybernetics research landscape. The comprehensive analysis sheds light on the evolution of key concepts and the global collaborative networks shaping cybernetics research. The identification of influential sources, such as Kybernetes, adds value to researchers seeking to navigate and contribute to the dynamic field of cybernetics. Furthermore, this study highlights that cybernetics not only provides a useful framework for understanding and managing major economic shocks but also offers perspectives for understanding phenomena in various fields such as economics, medicine, environmental sciences and climate change.

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Bibliometric mapping in the landscape of cybernetics: insights into global research networks10.1108/K-11-2023-2365Kybernetes2024-02-13© 2024 Emerald Publishing LimitedIonut NicaKybernetesahead-of-printahead-of-print2024-02-1310.1108/K-11-2023-2365https://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2365/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Ship coping strategies for hurricane-induced port disruptionshttps://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2379/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDisruptions at ports may destroy the planned ship schedules profoundly, which is an imperative operation problem that shipping companies need to overcome. This paper attempts to help shipping companies cope with port disruptions through recovery scheduling. This paper studies the ship coping strategies for the port disruptions caused by severe weather. A novel mixed-integer nonlinear programming model is proposed to solve the ship schedule recovery problem (SSRP). A distributionally robust mean conditional value-at-risk (CVaR) optimization model was constructed to handle the SSRP with port disruption uncertainties, for which we derive tractable counterparts under the polyhedral ambiguity sets. The results show that the size of ambiguity set, confidence level and risk-aversion parameter can significantly affect the optimal values, decision-makers should choose a reasonable parameter combination. Besides, sailing speed adjustment and handling rate adjustment are effective strategies in SSRP but may not be sufficient to recover the schedule; therefore, port skipping and swapping are necessary when multiple or longer disruptions occur at ports. Since the port disruption is difficult to forecast, we attempt to take the uncertainties into account to achieve more meaningful results. To the best of our knowledge, there is barely a research study focusing on the uncertain port disruptions in the SSRP. Moreover, this is the first paper that applies distributionally robust optimization (DRO) to deal with uncertain port disruptions through the equivalent counterpart of DRO with polyhedral ambiguity set, in which a robust mean-CVaR optimization formulation is adopted as the objective function for a trade-off between the expected total costs and the risk.Ship coping strategies for hurricane-induced port disruptions
Yan Zhou, Chuanxu Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Disruptions at ports may destroy the planned ship schedules profoundly, which is an imperative operation problem that shipping companies need to overcome. This paper attempts to help shipping companies cope with port disruptions through recovery scheduling.

This paper studies the ship coping strategies for the port disruptions caused by severe weather. A novel mixed-integer nonlinear programming model is proposed to solve the ship schedule recovery problem (SSRP). A distributionally robust mean conditional value-at-risk (CVaR) optimization model was constructed to handle the SSRP with port disruption uncertainties, for which we derive tractable counterparts under the polyhedral ambiguity sets.

The results show that the size of ambiguity set, confidence level and risk-aversion parameter can significantly affect the optimal values, decision-makers should choose a reasonable parameter combination. Besides, sailing speed adjustment and handling rate adjustment are effective strategies in SSRP but may not be sufficient to recover the schedule; therefore, port skipping and swapping are necessary when multiple or longer disruptions occur at ports.

Since the port disruption is difficult to forecast, we attempt to take the uncertainties into account to achieve more meaningful results. To the best of our knowledge, there is barely a research study focusing on the uncertain port disruptions in the SSRP. Moreover, this is the first paper that applies distributionally robust optimization (DRO) to deal with uncertain port disruptions through the equivalent counterpart of DRO with polyhedral ambiguity set, in which a robust mean-CVaR optimization formulation is adopted as the objective function for a trade-off between the expected total costs and the risk.

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Ship coping strategies for hurricane-induced port disruptions10.1108/K-11-2023-2379Kybernetes2024-03-27© 2024 Emerald Publishing LimitedYan ZhouChuanxu WangKybernetesahead-of-printahead-of-print2024-03-2710.1108/K-11-2023-2379https://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2379/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Do relational outcomes always generate willingness to pay for social enterprises’ products? The moderating effect of sustainability orientationhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2389/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study evaluated the effects of adherence to social missions and relational outcomes on willingness to pay for products from social enterprises. The study’s conceptual model was based on the social resource–based view. Three social enterprises in Taiwan were analysed, and the determinants of willingness to pay for products from these enterprises were investigated. An online survey was conducted, and 404 valid responses were collected and analysed using structural equation modelling. The moderating effect of sustainability orientation was evaluated using the multigroup method. The results indicated that adherence to social missions was a critical predictor of relational outcomes and willingness to pay. In addition, sustainability orientation positively moderated the effect of relational outcomes on willingness to pay. This study enriches the literature by applying the social resource–based view to the context of social enterprises. The study findings have key implications for managers and practitioners of social enterprises seeking to build relationships with stakeholders.Do relational outcomes always generate willingness to pay for social enterprises’ products? The moderating effect of sustainability orientation
Ching Yin Ip
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study evaluated the effects of adherence to social missions and relational outcomes on willingness to pay for products from social enterprises.

The study’s conceptual model was based on the social resource–based view. Three social enterprises in Taiwan were analysed, and the determinants of willingness to pay for products from these enterprises were investigated. An online survey was conducted, and 404 valid responses were collected and analysed using structural equation modelling. The moderating effect of sustainability orientation was evaluated using the multigroup method.

The results indicated that adherence to social missions was a critical predictor of relational outcomes and willingness to pay. In addition, sustainability orientation positively moderated the effect of relational outcomes on willingness to pay.

This study enriches the literature by applying the social resource–based view to the context of social enterprises. The study findings have key implications for managers and practitioners of social enterprises seeking to build relationships with stakeholders.

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Do relational outcomes always generate willingness to pay for social enterprises’ products? The moderating effect of sustainability orientation10.1108/K-11-2023-2389Kybernetes2024-03-22© 2024 Emerald Publishing LimitedChing Yin IpKybernetesahead-of-printahead-of-print2024-03-2210.1108/K-11-2023-2389https://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2389/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Predicting Generation Z consumers’ food waste reduction behavior through social media marketing activities: a mediated modelhttps://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2422/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe present study aims to examine the impact of social media marketing activities (SMMAs) on the adoption of food waste reduction behavior among Generation Z consumers within the restaurant service industry in Pakistan. The study focuses on the impact of social media advertisements and investigates the mediating influence of waste reduction intentions on actual behavior. This underscores the significance of contextual and emotional variables in comprehending consumer behaviors. The study used a cross-sectional research methodology to examine the impact of SMMAs on the behavior of Generation Z consumers in Pakistan’s food service industry with regard to reducing food waste. A study was conducted to investigate the restaurant purchasing behaviors of a sample consisting of 449 individuals belonging to the millennial generation, often known as Generation Z. The majority of variables related to SMMA, except for interactivity and personalization, were shown to have a positive impact on individuals’ intents to reduce food waste. The study observed a significant relationship between consumers’ intentions to decrease waste and their actual behavior in waste reduction. Furthermore, this relationship was shown to be influenced by the mediating role of waste reduction intention. Examining how social media affects Pakistani Generation Z’s efforts to reduce food waste is what makes this study distinctive. According to the research, the majority of social media factors positively influence intentions to reduce waste. The relationship between intentions and actual behavior, which highlights the impact of social media campaigns and emotional aspects in promoting waste reduction, is one of the important conclusions.Predicting Generation Z consumers’ food waste reduction behavior through social media marketing activities: a mediated model
Saman Attiq, Sumia Mumtaz, Amir Zaib Abbasi, Shahid Bashir
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The present study aims to examine the impact of social media marketing activities (SMMAs) on the adoption of food waste reduction behavior among Generation Z consumers within the restaurant service industry in Pakistan. The study focuses on the impact of social media advertisements and investigates the mediating influence of waste reduction intentions on actual behavior. This underscores the significance of contextual and emotional variables in comprehending consumer behaviors.

The study used a cross-sectional research methodology to examine the impact of SMMAs on the behavior of Generation Z consumers in Pakistan’s food service industry with regard to reducing food waste. A study was conducted to investigate the restaurant purchasing behaviors of a sample consisting of 449 individuals belonging to the millennial generation, often known as Generation Z.

The majority of variables related to SMMA, except for interactivity and personalization, were shown to have a positive impact on individuals’ intents to reduce food waste. The study observed a significant relationship between consumers’ intentions to decrease waste and their actual behavior in waste reduction. Furthermore, this relationship was shown to be influenced by the mediating role of waste reduction intention.

Examining how social media affects Pakistani Generation Z’s efforts to reduce food waste is what makes this study distinctive. According to the research, the majority of social media factors positively influence intentions to reduce waste. The relationship between intentions and actual behavior, which highlights the impact of social media campaigns and emotional aspects in promoting waste reduction, is one of the important conclusions.

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Predicting Generation Z consumers’ food waste reduction behavior through social media marketing activities: a mediated model10.1108/K-11-2023-2422Kybernetes2024-03-13© 2024 Emerald Publishing LimitedSaman AttiqSumia MumtazAmir Zaib AbbasiShahid BashirKybernetesahead-of-printahead-of-print2024-03-1310.1108/K-11-2023-2422https://www.emerald.com/insight/content/doi/10.1108/K-11-2023-2422/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Does service-oriented manufacturing affect the sustainability performance of Chinese green manufacturing firms: an integrated study including empirical analysis and agent-based simulationhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2021-1367/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThere are two purposes in this paper. The first one is to explore the impact mechanisms and paths of service-oriented manufacturing (SOM) on the sustainability performance of green manufacturing firms and to pay particular attention to the mediating role of enterprise costs in the relationship between the two. The second one is to reveal the dynamic process and laws of SOM influencing on the sustainability performance of green manufacturing enterprises. This paper employs a combination of dynamic and static research from two aspects. On the one hand, based on 495 green manufacturing firms in China, the authors verify the SEM of SOM, enterprise cost and sustainability performance of green manufacturing firms through empirical research, analyze the path relationship and mediation effect, and demonstrate its complex impact mechanism. On the other hand, the authors use agent-based modeling and simulation to reveal the dynamic influence of SOM on the sustainability performance of green manufacturing enterprises and explore its dynamic laws and future development trends. The study results indicate that (1) SOM has a direct positive effect on firm sustainability performance. (2) Reducing firm costs has a positive effect on firm sustainability performance, and firm costs play a partial mediating role in the mechanism by which SOM influences firm sustainability performance. (3) The dynamic impact of SOM on sustainability performance increases significantly over time. (4) Significant firm heterogeneity exists in the process by which SOM improves sustainability performance. (5) There are differences in the promotion of SOM for economic performance, environmental performance and social performance. This paper makes two main contributions. First, compared with previous research on sustainability performance focusing on a certain dimension, this paper organically integrates the three dimensions of sustainability performance, regards them as a whole and considers the paths to improve sustainability performance. Second, this paper focuses on the complex relationship among SOM, enterprise costs and sustainability performance and reveals different sustainability performance improvement paths and dynamic impact processes, thereby expanding and deepening previous research on sustainability on the subject. These contributions lead to a better understanding of the driving forces and realization path for green manufacturing firms' sustainability performance from an integrated static and dynamic perspective.Does service-oriented manufacturing affect the sustainability performance of Chinese green manufacturing firms: an integrated study including empirical analysis and agent-based simulation
Ruihan Zhang, Han Gao
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

There are two purposes in this paper. The first one is to explore the impact mechanisms and paths of service-oriented manufacturing (SOM) on the sustainability performance of green manufacturing firms and to pay particular attention to the mediating role of enterprise costs in the relationship between the two. The second one is to reveal the dynamic process and laws of SOM influencing on the sustainability performance of green manufacturing enterprises.

This paper employs a combination of dynamic and static research from two aspects. On the one hand, based on 495 green manufacturing firms in China, the authors verify the SEM of SOM, enterprise cost and sustainability performance of green manufacturing firms through empirical research, analyze the path relationship and mediation effect, and demonstrate its complex impact mechanism. On the other hand, the authors use agent-based modeling and simulation to reveal the dynamic influence of SOM on the sustainability performance of green manufacturing enterprises and explore its dynamic laws and future development trends.

The study results indicate that (1) SOM has a direct positive effect on firm sustainability performance. (2) Reducing firm costs has a positive effect on firm sustainability performance, and firm costs play a partial mediating role in the mechanism by which SOM influences firm sustainability performance. (3) The dynamic impact of SOM on sustainability performance increases significantly over time. (4) Significant firm heterogeneity exists in the process by which SOM improves sustainability performance. (5) There are differences in the promotion of SOM for economic performance, environmental performance and social performance.

This paper makes two main contributions. First, compared with previous research on sustainability performance focusing on a certain dimension, this paper organically integrates the three dimensions of sustainability performance, regards them as a whole and considers the paths to improve sustainability performance. Second, this paper focuses on the complex relationship among SOM, enterprise costs and sustainability performance and reveals different sustainability performance improvement paths and dynamic impact processes, thereby expanding and deepening previous research on sustainability on the subject. These contributions lead to a better understanding of the driving forces and realization path for green manufacturing firms' sustainability performance from an integrated static and dynamic perspective.

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Does service-oriented manufacturing affect the sustainability performance of Chinese green manufacturing firms: an integrated study including empirical analysis and agent-based simulation10.1108/K-12-2021-1367Kybernetes2023-02-27© 2022 Emerald Publishing LimitedRuihan ZhangHan GaoKybernetesahead-of-printahead-of-print2023-02-2710.1108/K-12-2021-1367https://www.emerald.com/insight/content/doi/10.1108/K-12-2021-1367/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
IoT-based entrepreneurial city: a new model of urban governance to achieve economic sustainabilityhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1629/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestOne of the challenges of urban management is to provide an entrepreneurial environment for the general population, which can be realized by the development of the entrepreneurial city, which will ultimately cause economic sustainability. In order to create an entrepreneur city, it is necessary to create and develop some infrastructures, one of the most important of which is Internet of things (IoT)-based technological infrastructures, so that municipalities have a leading role. The purpose of this paper is to investigate this phenomenon. The research method is a case study type, and a triangulation mixed-method research design has been used for it. For data collection in the quantitative section, questionnaire tools and in the qualitative section, interview tools as well as coding related upstream documents in the municipality were used. The findings showed that with the development of the IoT infrastructure, the conditions will be provided for creating an entrepreneurial city and its formation process will be accelerated, so that it will eventually leading to economic sustainability. It was also found that the conditions for the development of urban entrepreneurship based on IoT in the metropolis in question are not favorable. Finally, suggestions were made to improve this situation. This study contributes to the entrepreneurship literature and economic sustainability by explaining a new concept of an entrepreneurial city and defines the role of IoT infrastructure in its development. Existing literature on the systematic use of IoT in applied fields is still scarce, and this study provides useful insights into it.IoT-based entrepreneurial city: a new model of urban governance to achieve economic sustainability
Mohammad Eynolghozat, Babak Ziyae, Mehran Rezvani
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

One of the challenges of urban management is to provide an entrepreneurial environment for the general population, which can be realized by the development of the entrepreneurial city, which will ultimately cause economic sustainability. In order to create an entrepreneur city, it is necessary to create and develop some infrastructures, one of the most important of which is Internet of things (IoT)-based technological infrastructures, so that municipalities have a leading role. The purpose of this paper is to investigate this phenomenon.

The research method is a case study type, and a triangulation mixed-method research design has been used for it. For data collection in the quantitative section, questionnaire tools and in the qualitative section, interview tools as well as coding related upstream documents in the municipality were used.

The findings showed that with the development of the IoT infrastructure, the conditions will be provided for creating an entrepreneurial city and its formation process will be accelerated, so that it will eventually leading to economic sustainability. It was also found that the conditions for the development of urban entrepreneurship based on IoT in the metropolis in question are not favorable. Finally, suggestions were made to improve this situation.

This study contributes to the entrepreneurship literature and economic sustainability by explaining a new concept of an entrepreneurial city and defines the role of IoT infrastructure in its development. Existing literature on the systematic use of IoT in applied fields is still scarce, and this study provides useful insights into it.

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IoT-based entrepreneurial city: a new model of urban governance to achieve economic sustainability10.1108/K-12-2022-1629Kybernetes2023-04-21© 2023 Emerald Publishing LimitedMohammad EynolghozatBabak ZiyaeMehran RezvaniKybernetesahead-of-printahead-of-print2023-04-2110.1108/K-12-2022-1629https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1629/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A new gray optimization model for disposing or re-commercializing unsold goods in reverse logistics networks with a cross-docking centerhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1637/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper investigates a problem in a reverse logistics (RLs) network to decide whether to dispose of unsold goods in primary stores or re-commercialize them in outlet centers. By deducting the costs associated with each policy from its revenue, this study aims to maximize the profit from managing unsold goods. A new mixed-integer linear programming model has been developed to address the problem, which considers the selling prices of products in primary and secondary stores and the costs of transportation, cross-docking and returning unwanted items. As a result of uncertain nature of the cost and time parameters, gray numbers are used to deal with it. In addition, an innovative uncertain solution approach for gray programming problems is presented that considers objective function satisfaction level as an indicator of optimism. According to the results, higher costs, including transportation, cross-docking and return costs, make sending goods to outlet centers unprofitable and more goods are disposed of in primary stores. Prices in primary and secondary stores heavily influence the number of discarded goods. Higher prices in primary stores result in more disposed of goods, while higher prices in secondary stores result in fewer. As a result of the proposed method, the objective function satisfaction level can be viewed as a measure of optimism. An integral contribution of this study is developing a new mixed-integer linear programming model for selecting the appropriate goods for re-commercialization and choosing the best outlet center based on the products' price and total profit. Another novelty of the proposed model is considering the matching percentage of boxes with secondary stores’ desired product lists and the probability of returning goods due to non-compliance with delivery dates. Moreover, a new uncertain solution approach is developed to solve mathematical programming problems with gray parameters.A new gray optimization model for disposing or re-commercializing unsold goods in reverse logistics networks with a cross-docking center
Mohsen Rajabzadeh, Seyed Meysam Mousavi, Farzad Azimi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper investigates a problem in a reverse logistics (RLs) network to decide whether to dispose of unsold goods in primary stores or re-commercialize them in outlet centers. By deducting the costs associated with each policy from its revenue, this study aims to maximize the profit from managing unsold goods.

A new mixed-integer linear programming model has been developed to address the problem, which considers the selling prices of products in primary and secondary stores and the costs of transportation, cross-docking and returning unwanted items. As a result of uncertain nature of the cost and time parameters, gray numbers are used to deal with it. In addition, an innovative uncertain solution approach for gray programming problems is presented that considers objective function satisfaction level as an indicator of optimism.

According to the results, higher costs, including transportation, cross-docking and return costs, make sending goods to outlet centers unprofitable and more goods are disposed of in primary stores. Prices in primary and secondary stores heavily influence the number of discarded goods. Higher prices in primary stores result in more disposed of goods, while higher prices in secondary stores result in fewer. As a result of the proposed method, the objective function satisfaction level can be viewed as a measure of optimism.

An integral contribution of this study is developing a new mixed-integer linear programming model for selecting the appropriate goods for re-commercialization and choosing the best outlet center based on the products' price and total profit. Another novelty of the proposed model is considering the matching percentage of boxes with secondary stores’ desired product lists and the probability of returning goods due to non-compliance with delivery dates. Moreover, a new uncertain solution approach is developed to solve mathematical programming problems with gray parameters.

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A new gray optimization model for disposing or re-commercializing unsold goods in reverse logistics networks with a cross-docking center10.1108/K-12-2022-1637Kybernetes2024-01-26© 2024 Emerald Publishing LimitedMohsen RajabzadehSeyed Meysam MousaviFarzad AzimiKybernetesahead-of-printahead-of-print2024-01-2610.1108/K-12-2022-1637https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1637/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Identification and evaluation of collaborative relationships of internal project stakeholders: a social network analysis approachhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1648/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe present research is trying to construct the network of relationships between different department of an organization during the design and development of car engine. Analyzing the structure of the network, finding the patterns of collaborations, and determining the important departments are the main purposes of the present research. Improving relationships during a project life is an effective way to enhance employee performance in project-oriented organizations. This paper examines the collaborative relationships between internal project stakeholders through social network analysis (SNA) in a project for the design and development of car engine. In the first step of the research, the network of internal stakeholders was studied based on collaboration in the common activities performed by the resources. Then, the network of correspondences between internal stakeholders was studied. Finally, the two networks were integrated into a single network. In the integrated network, the “fuel and combustion department” had the largest degree centrality (i.e. highest collaboration with others). The “integration department” was found to have the highest closeness centrality (i.e. more rapid access to other nodes). Furthermore, the “procurement department” had the highest betweenness centrality (i.e. the most strategic department). Our results revealed the potential capabilities of SNA method for the project management in the vehicle industry. The obtained results of the present research show us the value of applying SNA methods and concepts to analyze the inter-organizational network of the Project Stakeholders relationship.Identification and evaluation of collaborative relationships of internal project stakeholders: a social network analysis approach
Mohammad Ali Fallah, Mehrdad Agha Mohammad Ali Kermani, Alireza Moini, Javad Mashayekh
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The present research is trying to construct the network of relationships between different department of an organization during the design and development of car engine. Analyzing the structure of the network, finding the patterns of collaborations, and determining the important departments are the main purposes of the present research.

Improving relationships during a project life is an effective way to enhance employee performance in project-oriented organizations. This paper examines the collaborative relationships between internal project stakeholders through social network analysis (SNA) in a project for the design and development of car engine. In the first step of the research, the network of internal stakeholders was studied based on collaboration in the common activities performed by the resources. Then, the network of correspondences between internal stakeholders was studied. Finally, the two networks were integrated into a single network.

In the integrated network, the “fuel and combustion department” had the largest degree centrality (i.e. highest collaboration with others). The “integration department” was found to have the highest closeness centrality (i.e. more rapid access to other nodes). Furthermore, the “procurement department” had the highest betweenness centrality (i.e. the most strategic department). Our results revealed the potential capabilities of SNA method for the project management in the vehicle industry.

The obtained results of the present research show us the value of applying SNA methods and concepts to analyze the inter-organizational network of the Project Stakeholders relationship.

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Identification and evaluation of collaborative relationships of internal project stakeholders: a social network analysis approach10.1108/K-12-2022-1648Kybernetes2023-06-16© 2023 Emerald Publishing LimitedMohammad Ali FallahMehrdad Agha Mohammad Ali KermaniAlireza MoiniJavad MashayekhKybernetesahead-of-printahead-of-print2023-06-1610.1108/K-12-2022-1648https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1648/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Social media, echo chambers and contingency: a system theoretical approach about communication in the digital spacehttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1650/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThere is a growing worry about people possibly isolating themselves in online bubbles and avoiding contact with ideas that differ from their beliefs, creating a scenario of ideological polarization. To investigate into this matter, this work aims for a reflection about the contingency of communication in social media. Does social media make the experience of communication in the digital space more contingent (providing it with more possibilities, with people accessing different contents and ideas) or less contingent (reducing the available possibilities, making people isolate themselves)? This is a theoretical work, constructed through bibliographical reviews. To reflect about the question that are posed, the author selected Niklas Luhmann's social systems theory to approach the concept of contingency. In addition to that, the author presented the main arguments of the debates about echo chambers and online bubbles. In the end, the author combined the two reviews together using elements of the Luhmannian theory and drew some conclusions about the initial question. The study concluded that social media have an ambivalent potential regarding contingency in the digital space: it can both expand or reduce the available possibilities of communication, depending on criteria like topic, potential of diffusion and focus of attention. There is no one-side effect. The approach at echo chambers does not reflect “the” form of contingency in social media, but “a” form. Therefore, the study cannot provide any general conclusions about the relation between contingency and social media. The digital space is a large one, and more studies are required to achieve more substantial propositions. The research has an originality value both for systems theory and social media studies. First, because, as far as the author knows, no other system-theoretical argument has taken the connection between contingency and social media as a primary analysis object. Second, because of a theoretical interpretation effort, the studies of echo chambers indicate mixed results about the phenomenon of online isolation, but no attempt was made to make sense of these mixed results from a specific sociological theory. The author did that by using Luhmann's theoretical framework, which proved to be a good tool for explaining and unifying these different results on a more abstract level.Social media, echo chambers and contingency: a system theoretical approach about communication in the digital space
Emerson Rodrigues da Cunha Palmieri
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

There is a growing worry about people possibly isolating themselves in online bubbles and avoiding contact with ideas that differ from their beliefs, creating a scenario of ideological polarization. To investigate into this matter, this work aims for a reflection about the contingency of communication in social media. Does social media make the experience of communication in the digital space more contingent (providing it with more possibilities, with people accessing different contents and ideas) or less contingent (reducing the available possibilities, making people isolate themselves)?

This is a theoretical work, constructed through bibliographical reviews. To reflect about the question that are posed, the author selected Niklas Luhmann's social systems theory to approach the concept of contingency. In addition to that, the author presented the main arguments of the debates about echo chambers and online bubbles. In the end, the author combined the two reviews together using elements of the Luhmannian theory and drew some conclusions about the initial question.

The study concluded that social media have an ambivalent potential regarding contingency in the digital space: it can both expand or reduce the available possibilities of communication, depending on criteria like topic, potential of diffusion and focus of attention. There is no one-side effect.

The approach at echo chambers does not reflect “the” form of contingency in social media, but “a” form. Therefore, the study cannot provide any general conclusions about the relation between contingency and social media. The digital space is a large one, and more studies are required to achieve more substantial propositions.

The research has an originality value both for systems theory and social media studies. First, because, as far as the author knows, no other system-theoretical argument has taken the connection between contingency and social media as a primary analysis object. Second, because of a theoretical interpretation effort, the studies of echo chambers indicate mixed results about the phenomenon of online isolation, but no attempt was made to make sense of these mixed results from a specific sociological theory. The author did that by using Luhmann's theoretical framework, which proved to be a good tool for explaining and unifying these different results on a more abstract level.

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Social media, echo chambers and contingency: a system theoretical approach about communication in the digital space10.1108/K-12-2022-1650Kybernetes2023-04-06© 2023 Emerald Publishing LimitedEmerson Rodrigues da Cunha PalmieriKybernetesahead-of-printahead-of-print2023-04-0610.1108/K-12-2022-1650https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1650/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The under-loading cascading failure model: a tool for assessing the vulnerability of SME cooperation networkshttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1651/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe behavior of the entities in a small and medium-sized enterprise (SME) cooperation network is influenced by the core enterprise. Addressing the problem of how the network vulnerability changes when the core enterprise is attacked is a challenging topic. The purpose of this paper is to reveal the failure process of SME cooperation networks caused by the failure of the core SME from the perspective of cascading failure. According to the Torch High Technology Industry Development Center, Ministry of Science & Technology in China, 296 SMEs in Jiangsu province were used to construct an SME cooperation network of technology-based SMEs and an under-loading cascading failure model. The weight-based attack strategy was selected to mimic a deliberate node attack and was used to analyze the vulnerability of the SME cooperation network. Some important conclusions are obtained from the simulation analysis: (1) The minimum boundary of node enterprises has a negative relationship with networks' invulnerability, while the breakdown probability has an inverted-U relationship with networks' invulnerability. (2) The combined effect of minimum boundary and breakdown probability indicates that the vulnerability of networks is mainly determined by the breakdown probability; while, minimum boundary helps prevent cascading failure occur. Furthermore, according to the case study, adapting capital needs and resilience in the cooperation network is the core problem in improving the robustness of SME cooperation networks. This research proposed an under-loading cascading failure model to investigate the under-loading failure process caused by the shortage of resources when the core enterprise fails or withdraws from the SME cooperation network. Two key parameters in the proposed model—minimum capacity and breakdown probability—could serve as a guide for research on the vulnerability of SME cooperation networks. Additionally, practical meanings for each parameter in the proposed model are given, to suggest novel insights regarding network protection to facilitate the robustness and vulnerability in real SME cooperation networks.The under-loading cascading failure model: a tool for assessing the vulnerability of SME cooperation networks
Hang Yin, Jishan Hou, Chengju Gong, Chen Xu
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The behavior of the entities in a small and medium-sized enterprise (SME) cooperation network is influenced by the core enterprise. Addressing the problem of how the network vulnerability changes when the core enterprise is attacked is a challenging topic. The purpose of this paper is to reveal the failure process of SME cooperation networks caused by the failure of the core SME from the perspective of cascading failure.

According to the Torch High Technology Industry Development Center, Ministry of Science & Technology in China, 296 SMEs in Jiangsu province were used to construct an SME cooperation network of technology-based SMEs and an under-loading cascading failure model. The weight-based attack strategy was selected to mimic a deliberate node attack and was used to analyze the vulnerability of the SME cooperation network.

Some important conclusions are obtained from the simulation analysis: (1) The minimum boundary of node enterprises has a negative relationship with networks' invulnerability, while the breakdown probability has an inverted-U relationship with networks' invulnerability. (2) The combined effect of minimum boundary and breakdown probability indicates that the vulnerability of networks is mainly determined by the breakdown probability; while, minimum boundary helps prevent cascading failure occur. Furthermore, according to the case study, adapting capital needs and resilience in the cooperation network is the core problem in improving the robustness of SME cooperation networks.

This research proposed an under-loading cascading failure model to investigate the under-loading failure process caused by the shortage of resources when the core enterprise fails or withdraws from the SME cooperation network. Two key parameters in the proposed model—minimum capacity and breakdown probability—could serve as a guide for research on the vulnerability of SME cooperation networks. Additionally, practical meanings for each parameter in the proposed model are given, to suggest novel insights regarding network protection to facilitate the robustness and vulnerability in real SME cooperation networks.

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The under-loading cascading failure model: a tool for assessing the vulnerability of SME cooperation networks10.1108/K-12-2022-1651Kybernetes2023-03-09© 2023 Emerald Publishing LimitedHang YinJishan HouChengju GongChen XuKybernetesahead-of-printahead-of-print2023-03-0910.1108/K-12-2022-1651https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1651/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Cyberbullying in higher education: a review of the literature based on bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1667/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to review cyberbullying incidents among students in higher education institutions (HEIs). Cyberbullying has become a threat to students' wellbeing as it penetrates one life due to the pervasive availability of digital technologies. Through a bibliometric analysis, this study analyzes 361 journal publications from the Web of Science (WoS) based on bibliographic coupling and co-word analysis. Significant themes were found related to cyberbullying in HEIs, particularly related to the impact and determinants of cyberbullying on students. Bibliographic coupling produces three clusters on the current research fronts, while co-word analysis produces four clusters on the prediction of future trends. Implications of this phenomenon warrant comprehensive intervention by the HEIs management to dampen its impact on students' wellbeing. Findings would enhance the fundamental understanding through science mapping on the prevalent and potential incidence of cyberbullying. Crucial insights will benefit the government, HEIs’ management, educators, scholars, policymakers and parents to overcome this dreadful phenomenon of cyberbullying. Several managerial interventions and mitigation strategies are proposed to reduce and control the occurrence of cyberbullying. This study presents a bibliometric review to uncover the knowledge structure of cyberbullying studies in HEIs.Cyberbullying in higher education: a review of the literature based on bibliometric analysis
Muhammad Ashraf Fauzi
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to review cyberbullying incidents among students in higher education institutions (HEIs). Cyberbullying has become a threat to students' wellbeing as it penetrates one life due to the pervasive availability of digital technologies.

Through a bibliometric analysis, this study analyzes 361 journal publications from the Web of Science (WoS) based on bibliographic coupling and co-word analysis.

Significant themes were found related to cyberbullying in HEIs, particularly related to the impact and determinants of cyberbullying on students. Bibliographic coupling produces three clusters on the current research fronts, while co-word analysis produces four clusters on the prediction of future trends. Implications of this phenomenon warrant comprehensive intervention by the HEIs management to dampen its impact on students' wellbeing. Findings would enhance the fundamental understanding through science mapping on the prevalent and potential incidence of cyberbullying.

Crucial insights will benefit the government, HEIs’ management, educators, scholars, policymakers and parents to overcome this dreadful phenomenon of cyberbullying. Several managerial interventions and mitigation strategies are proposed to reduce and control the occurrence of cyberbullying.

This study presents a bibliometric review to uncover the knowledge structure of cyberbullying studies in HEIs.

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Cyberbullying in higher education: a review of the literature based on bibliometric analysis10.1108/K-12-2022-1667Kybernetes2023-04-21© 2023 Emerald Publishing LimitedMuhammad Ashraf FauziKybernetesahead-of-printahead-of-print2023-04-2110.1108/K-12-2022-1667https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1667/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Factors leading to sustainable consumption behavior: an empirical investigation among millennial consumershttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1675/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestPromoting sustainable consumption is key to global sustainable development. The current study aims to explore the impact of environmental risk perception, environmental knowledge, social pressure and health consciousness on sustainable behavior intention among millennial consumers. This study used a survey method and a self-administered questionnaire to obtain data from the millennial generation. Smart partial least square (PLS) 4.0 was used to analyze data. This research used judgmental sampling and collected 596 valid responses. The present study indicates that sustainable consumption is becoming more prevalent among millennials. The authors observed that a high level of environmental risk perception, environmental knowledge, social pressure and health consciousness are the antecedents of sustainable behavioral intention, ultimately leading to sustainable consumption behavior. The current study highlights the millennial generation's sustainable consumption behavior. Researchers, policymakers, scientists, managers, industry professionals and brand managers can use the research findings to establish a sustainable framework. This research finds that promoting ecological consumption and environmental consciousness can help developing countries achieve environmental sustainability and ecological balance. The research findings add to the literature by offering new insights into customers' pricing perception for sustainable products and sustainable product availability toward sustainable consumption behavior in developing countries.Factors leading to sustainable consumption behavior: an empirical investigation among millennial consumers
Abdul Ghaffar, Tahir Islam
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Promoting sustainable consumption is key to global sustainable development. The current study aims to explore the impact of environmental risk perception, environmental knowledge, social pressure and health consciousness on sustainable behavior intention among millennial consumers.

This study used a survey method and a self-administered questionnaire to obtain data from the millennial generation. Smart partial least square (PLS) 4.0 was used to analyze data. This research used judgmental sampling and collected 596 valid responses.

The present study indicates that sustainable consumption is becoming more prevalent among millennials. The authors observed that a high level of environmental risk perception, environmental knowledge, social pressure and health consciousness are the antecedents of sustainable behavioral intention, ultimately leading to sustainable consumption behavior.

The current study highlights the millennial generation's sustainable consumption behavior. Researchers, policymakers, scientists, managers, industry professionals and brand managers can use the research findings to establish a sustainable framework.

This research finds that promoting ecological consumption and environmental consciousness can help developing countries achieve environmental sustainability and ecological balance. The research findings add to the literature by offering new insights into customers' pricing perception for sustainable products and sustainable product availability toward sustainable consumption behavior in developing countries.

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Factors leading to sustainable consumption behavior: an empirical investigation among millennial consumers10.1108/K-12-2022-1675Kybernetes2023-04-07© 2023 Emerald Publishing LimitedAbdul GhaffarTahir IslamKybernetesahead-of-printahead-of-print2023-04-0710.1108/K-12-2022-1675https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1675/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A stacked ensemble learning method for customer lifetime value predictionhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1676/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the growth of organizations and businesses, customer acquisition and retention processes have become more complex in the long run. That is why customer lifetime value (CLV) has become crucial to sales managers. Predicting the CLV is a strategic weapon and competitive advantage in increasing profitability and identifying customers with more splendid profitability and is one of the essential key performance indicators (KPI) used in customer segmentation. Thus, this paper proposes a stacked ensemble learning method, a combination of multiple machine learning methods, for CLV prediction. In order to utilize customers’ behavioral features for predicting the value of each customer’s CLV, the data of a textile sales company was used as a case study. The proposed stacked ensemble learning method is compared with several popular predictive methods named deep neural networks, bagging support vector regression, light gradient boosting machine, random forest and extreme gradient boosting. Empirical results indicate that the regression performance of the stacked ensemble learning method outperformed other methods in terms of normalized rooted mean squared error, normalized mean absolute error and coefficient of determination, at 0.248, 0.364 and 0.848, respectively. In addition, the prediction capability of the proposed method improved significantly after optimizing its hyperparameters. This paper proposes a stacked ensemble learning method as a new method for accurate CLV prediction. The results and comparisons support the robustness and efficiency of the proposed method for CLV prediction.A stacked ensemble learning method for customer lifetime value prediction
Nader Asadi Ejgerdi, Mehrdad Kazerooni
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the growth of organizations and businesses, customer acquisition and retention processes have become more complex in the long run. That is why customer lifetime value (CLV) has become crucial to sales managers. Predicting the CLV is a strategic weapon and competitive advantage in increasing profitability and identifying customers with more splendid profitability and is one of the essential key performance indicators (KPI) used in customer segmentation. Thus, this paper proposes a stacked ensemble learning method, a combination of multiple machine learning methods, for CLV prediction.

In order to utilize customers’ behavioral features for predicting the value of each customer’s CLV, the data of a textile sales company was used as a case study. The proposed stacked ensemble learning method is compared with several popular predictive methods named deep neural networks, bagging support vector regression, light gradient boosting machine, random forest and extreme gradient boosting.

Empirical results indicate that the regression performance of the stacked ensemble learning method outperformed other methods in terms of normalized rooted mean squared error, normalized mean absolute error and coefficient of determination, at 0.248, 0.364 and 0.848, respectively. In addition, the prediction capability of the proposed method improved significantly after optimizing its hyperparameters.

This paper proposes a stacked ensemble learning method as a new method for accurate CLV prediction. The results and comparisons support the robustness and efficiency of the proposed method for CLV prediction.

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A stacked ensemble learning method for customer lifetime value prediction10.1108/K-12-2022-1676Kybernetes2023-03-30© 2023 Emerald Publishing LimitedNader Asadi EjgerdiMehrdad KazerooniKybernetesahead-of-printahead-of-print2023-03-3010.1108/K-12-2022-1676https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1676/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A novel scenic spots assessment and recommendation method based on network attention: augmented mining model using probabilistic linguistic term set combined with VIKORhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1682/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose is to provide decision support for tourists recommending scenic spots and corresponding suggestions for the management of scenic spots. Based on the Baidu index data generated, this paper analyzes the temporal and spatial characteristics of network attention of 5A scenic spots in Sichuan Province. The online comment data are used to build the assessment model of scenic spots based on network attention, and the comment information of tourists is mined and analyzed through statistical analysis. At the same time, the key attributes of scenic spots from the perspective of network attention are evaluated and analyzed by using the probabilistic linguistic term set. Finally, this paper further constructs a recommendation model based on the key attribute set of scenic spots. This paper uses different types of tourism network information, integrates multi-types of data and methods, fully excavates the value information of tourism network information, constructs the research framework of “scenic spot assessment + scenic spot recommendation” from the perspective of network attention, analyzes the network attention characteristics of scenic spots, evaluates the performance of scenic spots, and implements scenic spot recommendation. This paper integrates multi-source data and multidisciplinary theoretical methods to form a scenic spot research framework of “assessment + recommendation” from the perspective of network attention.A novel scenic spots assessment and recommendation method based on network attention: augmented mining model using probabilistic linguistic term set combined with VIKOR
Yuyan Luo, Xiaojing Yu, Fei Xie, Zheng Yang, Jun Wang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose is to provide decision support for tourists recommending scenic spots and corresponding suggestions for the management of scenic spots.

Based on the Baidu index data generated, this paper analyzes the temporal and spatial characteristics of network attention of 5A scenic spots in Sichuan Province. The online comment data are used to build the assessment model of scenic spots based on network attention, and the comment information of tourists is mined and analyzed through statistical analysis. At the same time, the key attributes of scenic spots from the perspective of network attention are evaluated and analyzed by using the probabilistic linguistic term set. Finally, this paper further constructs a recommendation model based on the key attribute set of scenic spots.

This paper uses different types of tourism network information, integrates multi-types of data and methods, fully excavates the value information of tourism network information, constructs the research framework of “scenic spot assessment + scenic spot recommendation” from the perspective of network attention, analyzes the network attention characteristics of scenic spots, evaluates the performance of scenic spots, and implements scenic spot recommendation.

This paper integrates multi-source data and multidisciplinary theoretical methods to form a scenic spot research framework of “assessment + recommendation” from the perspective of network attention.

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A novel scenic spots assessment and recommendation method based on network attention: augmented mining model using probabilistic linguistic term set combined with VIKOR10.1108/K-12-2022-1682Kybernetes2023-06-09© 2023 Emerald Publishing LimitedYuyan LuoXiaojing YuFei XieZheng YangJun WangKybernetesahead-of-printahead-of-print2023-06-0910.1108/K-12-2022-1682https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1682/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Technology protocols and new health regulations for pandemic severity control: an S-O-R theoretical risk reduction approachhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1684/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDeveloped countries control pandemics using smart decisions and processes based on medical standards and modern technologies. Studies on risk-reduction and humantechnology interaction are scarce. This study developed a model to examine the relationship between citizens, pandemic-related technology and official safety practices. This study investigated the mediating role of new health regulations and moderating role of safety incentives due to COVID-19 case reduction in pandemic severity control. This study included 407 operations managers, nursing staff conducting pandemic testing and reporting, doctors and security personnel in China. An artificial neural network (ANN) was used to check nonlinear regressions and model predictability. The results demonstrated the impact of the introduction of new technology protocols on the implementation of new health regulations and aided pandemic severity control. The safety incentive of case reductions moderated the relationship between new health regulations and pandemic severity control. New health regulations mediated the relationship between the introduction of new technology protocols and pandemic severity control. Further research should be conducted on pandemic severity in diversely populated cities, particularly those that require safety measures and controls. Future studies should focus on cloud computing for nurses, busy campuses and communal living spaces. Authorities should involve citizens in pandemic-related technical advances to reduce local viral transmission and infection. New health regulations improved people's interactions with new technological protocols and understanding of pandemic severity. Pandemic management authorities should work with medical and security employees. This study is the first to demonstrate that a safety framework with technology-oriented techniques could reduce future pandemics using managerial initiatives.Technology protocols and new health regulations for pandemic severity control: an S-O-R theoretical risk reduction approach
Ali Ausaf, Haixia Yuan, Saba Ali Nasir
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Developed countries control pandemics using smart decisions and processes based on medical standards and modern technologies. Studies on risk-reduction and humantechnology interaction are scarce. This study developed a model to examine the relationship between citizens, pandemic-related technology and official safety practices.

This study investigated the mediating role of new health regulations and moderating role of safety incentives due to COVID-19 case reduction in pandemic severity control. This study included 407 operations managers, nursing staff conducting pandemic testing and reporting, doctors and security personnel in China. An artificial neural network (ANN) was used to check nonlinear regressions and model predictability.

The results demonstrated the impact of the introduction of new technology protocols on the implementation of new health regulations and aided pandemic severity control. The safety incentive of case reductions moderated the relationship between new health regulations and pandemic severity control. New health regulations mediated the relationship between the introduction of new technology protocols and pandemic severity control.

Further research should be conducted on pandemic severity in diversely populated cities, particularly those that require safety measures and controls. Future studies should focus on cloud computing for nurses, busy campuses and communal living spaces.

Authorities should involve citizens in pandemic-related technical advances to reduce local viral transmission and infection. New health regulations improved people's interactions with new technological protocols and understanding of pandemic severity. Pandemic management authorities should work with medical and security employees.

This study is the first to demonstrate that a safety framework with technology-oriented techniques could reduce future pandemics using managerial initiatives.

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Technology protocols and new health regulations for pandemic severity control: an S-O-R theoretical risk reduction approach10.1108/K-12-2022-1684Kybernetes2023-06-20© 2023 Emerald Publishing LimitedAli AusafHaixia YuanSaba Ali NasirKybernetesahead-of-printahead-of-print2023-06-2010.1108/K-12-2022-1684https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1684/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Differential game analysis between government and waste incineration plants on the management of municipal solid waste classificationhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1687/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to study how the government stimulates incineration plants to participate in waste classification management, and how to adjust the subsidy strategy for them. Considering that the classification behavior of residents will produce herd effect, and waste classification can reduce the disposal cost of incineration plants, the authors constructed a differential game model between the government and waste incineration plants, and analyzed the input strategy of the government and incineration plants when they cooperate in the management of municipal waste classification. Increasing the input level of supervision or raising subsidy price, the government can promote incineration plants to increase the input level of incentive. Moreover, from a long-term perspective, increasing the input level of supervision is more effective. Compared with government supervision, the method of incineration plants incentive can more effectively increase the amount of waste disposal. Furthermore, the government supervision and the incineration plants incentive have a positive interaction effect on improving the amount of waste disposal. Increasing the input level of incineration plants incentive or the level of waste-to-energy technology can increase the amount of waste disposal, and from a long-term perspective, increasing the level of R&D investment is more beneficial to increasing the amount of waste disposal. The results are helpful to improve the investment in the management of waste classification, and also provide a certain theoretical basis for the government's subsidy policy for incineration plants, so as to reduce the financial pressure of the government.Differential game analysis between government and waste incineration plants on the management of municipal solid waste classification
Huijie Li, Deqing Tan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to study how the government stimulates incineration plants to participate in waste classification management, and how to adjust the subsidy strategy for them.

Considering that the classification behavior of residents will produce herd effect, and waste classification can reduce the disposal cost of incineration plants, the authors constructed a differential game model between the government and waste incineration plants, and analyzed the input strategy of the government and incineration plants when they cooperate in the management of municipal waste classification.

Increasing the input level of supervision or raising subsidy price, the government can promote incineration plants to increase the input level of incentive. Moreover, from a long-term perspective, increasing the input level of supervision is more effective. Compared with government supervision, the method of incineration plants incentive can more effectively increase the amount of waste disposal. Furthermore, the government supervision and the incineration plants incentive have a positive interaction effect on improving the amount of waste disposal. Increasing the input level of incineration plants incentive or the level of waste-to-energy technology can increase the amount of waste disposal, and from a long-term perspective, increasing the level of R&D investment is more beneficial to increasing the amount of waste disposal.

The results are helpful to improve the investment in the management of waste classification, and also provide a certain theoretical basis for the government's subsidy policy for incineration plants, so as to reduce the financial pressure of the government.

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Differential game analysis between government and waste incineration plants on the management of municipal solid waste classification10.1108/K-12-2022-1687Kybernetes2023-03-23© 2023 Emerald Publishing LimitedHuijie LiDeqing TanKybernetesahead-of-printahead-of-print2023-03-2310.1108/K-12-2022-1687https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1687/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Nexus between corporate innovation and investor sentiment: empirical evidence from the UShttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1688/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study examines the connection between investor sentiment and corporate innovation in the United States, considering the magnitude of corporate information asymmetry, the implied cost of capital and the financial constraints. The authors employ a two-step GMM framework to examine the hypotheses of this study by utilizing annual data from 2001 to 2021 for US corporations. The empirical evidence demonstrates a significant impact of investor sentiment on corporate innovation for firms with a lower information asymmetry and implied cost of capital than those with a higher information asymmetry and cost of capital. Although the financial constraint channel remained positive, it had little impact on the innovations of US corporations. Overall, the study's results show that companies make more valuable and high-quality patents when investors are optimistic. This research has policy implications for all managers, investors, analysts and state officers, particularly in the USA and other developed countries. Managers and investors of all types should predict the role of corporate innovation in increasing shareholder wealth. To the authors' knowledge, this is the first study to examine the relationship between investor sentiment and corporate innovation in the United States, considering the extent of corporate information asymmetry, the implied cost of capital and the financial limitations. The study's empirical findings uniquely contribute to the existing literature on corporate innovation and investor sentiment in the current context.Nexus between corporate innovation and investor sentiment: empirical evidence from the US
Safyan Majid, Faisal Abbas, Muhammad Nasir Malik
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study examines the connection between investor sentiment and corporate innovation in the United States, considering the magnitude of corporate information asymmetry, the implied cost of capital and the financial constraints.

The authors employ a two-step GMM framework to examine the hypotheses of this study by utilizing annual data from 2001 to 2021 for US corporations.

The empirical evidence demonstrates a significant impact of investor sentiment on corporate innovation for firms with a lower information asymmetry and implied cost of capital than those with a higher information asymmetry and cost of capital. Although the financial constraint channel remained positive, it had little impact on the innovations of US corporations. Overall, the study's results show that companies make more valuable and high-quality patents when investors are optimistic.

This research has policy implications for all managers, investors, analysts and state officers, particularly in the USA and other developed countries. Managers and investors of all types should predict the role of corporate innovation in increasing shareholder wealth.

To the authors' knowledge, this is the first study to examine the relationship between investor sentiment and corporate innovation in the United States, considering the extent of corporate information asymmetry, the implied cost of capital and the financial limitations. The study's empirical findings uniquely contribute to the existing literature on corporate innovation and investor sentiment in the current context.

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Nexus between corporate innovation and investor sentiment: empirical evidence from the US10.1108/K-12-2022-1688Kybernetes2023-04-03© 2023 Emerald Publishing LimitedSafyan MajidFaisal AbbasMuhammad Nasir MalikKybernetesahead-of-printahead-of-print2023-04-0310.1108/K-12-2022-1688https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1688/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The relationship between industrial policy and exploratory innovation – evidence from high-tech enterprise identification policy in Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1699/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe relationship between industrial policy and exploratory innovation is imperfect. The authors use Chinese high-tech enterprise identification policy (HTEP) as a natural experimental group to test policy impacts, spillover effects and mechanisms of action. First, HTEP promotes exploratory innovation. In addition, HTEP has a greater impact on non-exploratory innovation. Second, HTEP has spillover effects in two phases: HTEP (2008) and the 2016 policy reform. HTEP affects exploratory innovation in nearby non-high-tech firms, and the policy effect decreases monotonically with increasing distance from the treatment group. Third, HTEP affects innovation capacity through financing constraints, technical personnel flow and knowledge flow, which explains not only policy effects but also spillover effects. Fourth, the analysis of policy heterogeneity shows that the 2016 policy reforms reinforce the positive effect of HTEP (2008). By deducting the effects of other policies, the HTEP effect is found to be less volatile. In terms of the continuity of policy identification, continuous uninterrupted identification has a crucial impact on the improvement of firms’ innovation capacity compared to repeated certification and certification expiration. Finally, HTEP has a crowding-out effect in state-owned enterprises and large firms’ innovation. This paper contributes to the existing literature in several ways. First, the authors enrich the literature on industrial policy through exploratory innovation research. While previous studies have focused on R&D investment and patents (Dai and Wang, 2019), exploratory innovation helps firms break away from the inherent knowledge mindset and achieve sustainable innovation. Second, few studies have explored the characteristics of industrial policies. In this paper, the authors subdivide the sample into repeated certification, continuous certification and certification expiration according to high-tech enterprise identification. In addition, the authors compare the differences in policy implementation effects between the 2016 policy reform and the 2008 policy to provide new directions for business managers and policy makers. Third, innovation factors guided by industrial policies may cluster in specific regions, which in turn manifest externalities. This is when the policy spillover effect is worth considering. This paper fills a gap in the industrial policy literature by examining the spillover effects. Finally, this paper also explores the mechanisms of policy effects from three perspectives: financing constraints, technician mobility and knowledge mobility, which can affect not only the innovation of beneficiary firms directly but also indirectly the innovation of neighboring non-beneficiary firms.The relationship between industrial policy and exploratory innovation – evidence from high-tech enterprise identification policy in China
Pengyu Chen, SangKyum Kim
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The relationship between industrial policy and exploratory innovation is imperfect.

The authors use Chinese high-tech enterprise identification policy (HTEP) as a natural experimental group to test policy impacts, spillover effects and mechanisms of action.

First, HTEP promotes exploratory innovation. In addition, HTEP has a greater impact on non-exploratory innovation. Second, HTEP has spillover effects in two phases: HTEP (2008) and the 2016 policy reform. HTEP affects exploratory innovation in nearby non-high-tech firms, and the policy effect decreases monotonically with increasing distance from the treatment group. Third, HTEP affects innovation capacity through financing constraints, technical personnel flow and knowledge flow, which explains not only policy effects but also spillover effects. Fourth, the analysis of policy heterogeneity shows that the 2016 policy reforms reinforce the positive effect of HTEP (2008). By deducting the effects of other policies, the HTEP effect is found to be less volatile. In terms of the continuity of policy identification, continuous uninterrupted identification has a crucial impact on the improvement of firms’ innovation capacity compared to repeated certification and certification expiration. Finally, HTEP has a crowding-out effect in state-owned enterprises and large firms’ innovation.

This paper contributes to the existing literature in several ways. First, the authors enrich the literature on industrial policy through exploratory innovation research. While previous studies have focused on R&D investment and patents (Dai and Wang, 2019), exploratory innovation helps firms break away from the inherent knowledge mindset and achieve sustainable innovation. Second, few studies have explored the characteristics of industrial policies. In this paper, the authors subdivide the sample into repeated certification, continuous certification and certification expiration according to high-tech enterprise identification. In addition, the authors compare the differences in policy implementation effects between the 2016 policy reform and the 2008 policy to provide new directions for business managers and policy makers. Third, innovation factors guided by industrial policies may cluster in specific regions, which in turn manifest externalities. This is when the policy spillover effect is worth considering. This paper fills a gap in the industrial policy literature by examining the spillover effects. Finally, this paper also explores the mechanisms of policy effects from three perspectives: financing constraints, technician mobility and knowledge mobility, which can affect not only the innovation of beneficiary firms directly but also indirectly the innovation of neighboring non-beneficiary firms.

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The relationship between industrial policy and exploratory innovation – evidence from high-tech enterprise identification policy in China10.1108/K-12-2022-1699Kybernetes2023-02-07© 2023 Emerald Publishing LimitedPengyu ChenSangKyum KimKybernetesahead-of-printahead-of-print2023-02-0710.1108/K-12-2022-1699https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1699/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Drug abuse and suicidal thoughts among employees: an emerging economy perspectivehttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1706/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAnchored with turbulence emanating from the COVID-19 pandemic, the work environment has become more stressful with debilitating effects on the well-being of employees. Employees rely on varying means of coping including drug abuse. However, the association between drug abuse and suicidal thoughts among employees in Ghana is unknown. Therefore, this study sought to examine the relationship between drug abuse and suicidal thoughts among employees in Ghana. In a cross-sectional survey, this study purposively sampled 470 employees from three sectors of the Ghanaian economy (telecommunication, banking and manufacturing). The data was analysed using the multivariate analysis (MANOVA), Pearson’s r test and hierarchical regression. Analysis of data revealed a positive relationship between drug abuse and suicidal thoughts, indicating that drug abuse is a risk factor for suicidal thoughts. Besides, it was also revealed that banking sector employees have a higher risk of having suicidal thoughts than employees in the telecommunication and manufacturing sectors. Managers of organisations need to redesign work to embrace the challenging circumstances brought about as a result of COVID-19 and post-COVID implications. The work environment needs to be more supportive to shield employees from the physical and emotional demands of work during and after this period of the COVID-19 pandemic. Today than ever, investment in the implementation of employee-assisted programmes (EAPs) and employee well-being programmes (EWPs) to equip employees with the needed skills to cope with stressful conditions has been more than justified. From a broader perspective, this study identifies drug abuse as a key risk factor for suicidal thoughts among employees, thereby highlighting the fact that smoking cessation programs and drug management therapies are an integral part of well-being programmes aimed at establishing equilibrium and gradually creating a wide gap between employees and suicidal thoughts.Drug abuse and suicidal thoughts among employees: an emerging economy perspective
Kwesi Amponsah-Tawiah, Joshua King Safo Lartey, Abdul-Razak Suleman
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Anchored with turbulence emanating from the COVID-19 pandemic, the work environment has become more stressful with debilitating effects on the well-being of employees. Employees rely on varying means of coping including drug abuse. However, the association between drug abuse and suicidal thoughts among employees in Ghana is unknown. Therefore, this study sought to examine the relationship between drug abuse and suicidal thoughts among employees in Ghana.

In a cross-sectional survey, this study purposively sampled 470 employees from three sectors of the Ghanaian economy (telecommunication, banking and manufacturing). The data was analysed using the multivariate analysis (MANOVA), Pearson’s r test and hierarchical regression.

Analysis of data revealed a positive relationship between drug abuse and suicidal thoughts, indicating that drug abuse is a risk factor for suicidal thoughts. Besides, it was also revealed that banking sector employees have a higher risk of having suicidal thoughts than employees in the telecommunication and manufacturing sectors.

Managers of organisations need to redesign work to embrace the challenging circumstances brought about as a result of COVID-19 and post-COVID implications. The work environment needs to be more supportive to shield employees from the physical and emotional demands of work during and after this period of the COVID-19 pandemic. Today than ever, investment in the implementation of employee-assisted programmes (EAPs) and employee well-being programmes (EWPs) to equip employees with the needed skills to cope with stressful conditions has been more than justified.

From a broader perspective, this study identifies drug abuse as a key risk factor for suicidal thoughts among employees, thereby highlighting the fact that smoking cessation programs and drug management therapies are an integral part of well-being programmes aimed at establishing equilibrium and gradually creating a wide gap between employees and suicidal thoughts.

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Drug abuse and suicidal thoughts among employees: an emerging economy perspective10.1108/K-12-2022-1706Kybernetes2023-04-07© 2023 Emerald Publishing LimitedKwesi Amponsah-TawiahJoshua King Safo LarteyAbdul-Razak SulemanKybernetesahead-of-printahead-of-print2023-04-0710.1108/K-12-2022-1706https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1706/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Does integrated store service quality stimulate omnichannel shoppers' augmenting, co-developing, influencing and mobilizing behaviors? Moderating role of perceived relationship investmenthttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1717/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestBuilding on Stimulus Organism Response theory, the current study examines the influence of Integrated store service quality (ISSQ) on the omnichannel customer experience dimensions (Cognitive, Affective and Relational), subsequently leading to their psychological ownership of the store, which eventually explains their Augmenting, Co-developing, Influencing and Mobilizing behaviors. The moderating role of omnichannel shopper perceived relationship investment in a few proposed relationships was tested. The research is a descriptive, quantitative and cross-sectional investigation. A purposive sampling technique was used. It was conducted using data collected from 554 Indian omnichannel shoppers using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM. The results indicate that ISSQ positively impacts all three dimensions of omnichannel customer experience (cognitive, affective and relational). All three dimensions directly affect psychological ownership, eventually impacting their (Augmenting, Co-developing, Influencing and Mobilizing) engagement behaviors. The moderating effect of the omnichannel shopper, perceived relationship investment, revealed that it had a significant positive impact on the relationship between dimensions of omnichannel customer experience and psychological ownership of shoppers towards the store, which eventually fosters the customer–retailer value co-creation like engagement behaviors. The study is conducted in the Indian population, where omnichannel retailing is still nascent. This study addresses the need to investigate other dimensions (apart from cognitive and affective) of the omnichannel customer experience that might eventually influence various service firms' customer engagement behaviors. This study is the first to show that integrated store service quality might stimulate (Augmenting, Co-developing, Influencing and Mobilizing) engagement behaviors through customer experience dimensions and the customer's sense of belongingness to the store. The moderating role of omnichannel shoppers' perceived relationship investment in a few proposed relationships was tested.Does integrated store service quality stimulate omnichannel shoppers' augmenting, co-developing, influencing and mobilizing behaviors? Moderating role of perceived relationship investment
Thamaraiselvan Natarajan, Deepak Ramanan V
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Building on Stimulus Organism Response theory, the current study examines the influence of Integrated store service quality (ISSQ) on the omnichannel customer experience dimensions (Cognitive, Affective and Relational), subsequently leading to their psychological ownership of the store, which eventually explains their Augmenting, Co-developing, Influencing and Mobilizing behaviors. The moderating role of omnichannel shopper perceived relationship investment in a few proposed relationships was tested.

The research is a descriptive, quantitative and cross-sectional investigation. A purposive sampling technique was used. It was conducted using data collected from 554 Indian omnichannel shoppers using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM.

The results indicate that ISSQ positively impacts all three dimensions of omnichannel customer experience (cognitive, affective and relational). All three dimensions directly affect psychological ownership, eventually impacting their (Augmenting, Co-developing, Influencing and Mobilizing) engagement behaviors. The moderating effect of the omnichannel shopper, perceived relationship investment, revealed that it had a significant positive impact on the relationship between dimensions of omnichannel customer experience and psychological ownership of shoppers towards the store, which eventually fosters the customer–retailer value co-creation like engagement behaviors.

The study is conducted in the Indian population, where omnichannel retailing is still nascent.

This study addresses the need to investigate other dimensions (apart from cognitive and affective) of the omnichannel customer experience that might eventually influence various service firms' customer engagement behaviors. This study is the first to show that integrated store service quality might stimulate (Augmenting, Co-developing, Influencing and Mobilizing) engagement behaviors through customer experience dimensions and the customer's sense of belongingness to the store. The moderating role of omnichannel shoppers' perceived relationship investment in a few proposed relationships was tested.

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Does integrated store service quality stimulate omnichannel shoppers' augmenting, co-developing, influencing and mobilizing behaviors? Moderating role of perceived relationship investment10.1108/K-12-2022-1717Kybernetes2023-03-27© 2023 Emerald Publishing LimitedThamaraiselvan NatarajanDeepak Ramanan VKybernetesahead-of-printahead-of-print2023-03-2710.1108/K-12-2022-1717https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1717/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Factors affecting the resilience of subway operations under emergencies – using improved DEMATEL modelhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1718/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSubway systems are highly susceptible to external disturbances from emergencies, triggering a series of consequences such as the paralysis of the internal network transportation functions, causing significant economic and safety losses to cities. Therefore, it is necessary to analyze the factors affecting the resilience of the subway system to reduce the impact of disaster incidents. Using the interval type-2 fuzzy linguistic term set and the K-medoids clustering algorithm, this paper improves the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to construct a subway resilience factor analysis model for emergencies. Through comparative analysis, this study confirms the superior performance of the proposed approach in enhancing the precision of the DEMATEL method. The results indicate that the operation and management level of emergency command organizations is the key resilience factors of subway operations in China. Furthermore, based on real case analyses, the corresponding suggestions and measures are put forward to improve the overall operation resilience level of the subway. This paper identifies four emergency scenarios and 15 resilience factors affecting subway operations through literature review and expert consultation. The improved fuzzy DEMATEL method is applied to explore the levels of influence and causal mechanisms among the resilience factors of the subway system under the four emergency scenarios.Factors affecting the resilience of subway operations under emergencies – using improved DEMATEL model
Zehui Bu, Jicai Liu, Xiaoxue Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Subway systems are highly susceptible to external disturbances from emergencies, triggering a series of consequences such as the paralysis of the internal network transportation functions, causing significant economic and safety losses to cities. Therefore, it is necessary to analyze the factors affecting the resilience of the subway system to reduce the impact of disaster incidents.

Using the interval type-2 fuzzy linguistic term set and the K-medoids clustering algorithm, this paper improves the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to construct a subway resilience factor analysis model for emergencies. Through comparative analysis, this study confirms the superior performance of the proposed approach in enhancing the precision of the DEMATEL method.

The results indicate that the operation and management level of emergency command organizations is the key resilience factors of subway operations in China. Furthermore, based on real case analyses, the corresponding suggestions and measures are put forward to improve the overall operation resilience level of the subway.

This paper identifies four emergency scenarios and 15 resilience factors affecting subway operations through literature review and expert consultation. The improved fuzzy DEMATEL method is applied to explore the levels of influence and causal mechanisms among the resilience factors of the subway system under the four emergency scenarios.

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Factors affecting the resilience of subway operations under emergencies – using improved DEMATEL model10.1108/K-12-2022-1718Kybernetes2023-07-18© 2023 Emerald Publishing LimitedZehui BuJicai LiuXiaoxue ZhangKybernetesahead-of-printahead-of-print2023-07-1810.1108/K-12-2022-1718https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1718/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Seize market opportunities: market segmentation, profile and monitoring through user-generated contenthttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1721/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the study is to propose a normative approach for market segmentation, profile and monitoring using computing and information technology to analyze User-Generated Content (UGC). The specific steps include performing a structural analysis of the UGC and extracting the base variables and values from it, generating a consumer characteristics matrix for segmenting process, and finally describing the segments' preferences, regional and dynamic characteristics. The authors verify the feasibility of the method with publicly available data. The external validity of the method is also tested through questionnaires and product regional sales data. The authors apply the proposed methodology to analyze 53,526 UGCs in the New Energy Vehicle (NEV) market and classify consumers into four segments: Brand-Value Suitors (32%), Rational Consumers (21%), High-Quality Fanciers (26%) and Utility-driven Consumers (21%). The authors describe four segments' preferences, dynamic changes over the past six years and regional characteristics among China's top five sales cities. Then, the authors verify the external validity of the methodology through a questionnaire survey and actual NEV sales in China. The proposed method enables companies to utilize computing and information technology to understand the market structure and grasp the dynamic trends of market segments, which assists them in developing R&D and marketing plans. This study contributes to the research on UGC-based universal market segmentation methods. In addition, the proposed UGC structural analysis algorithm implements a more fine-grained data analysis.Seize market opportunities: market segmentation, profile and monitoring through user-generated content
Xiaoyan Jiang, Jie Lin, Chao Wang, Lixin Zhou
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the study is to propose a normative approach for market segmentation, profile and monitoring using computing and information technology to analyze User-Generated Content (UGC).

The specific steps include performing a structural analysis of the UGC and extracting the base variables and values from it, generating a consumer characteristics matrix for segmenting process, and finally describing the segments' preferences, regional and dynamic characteristics. The authors verify the feasibility of the method with publicly available data. The external validity of the method is also tested through questionnaires and product regional sales data.

The authors apply the proposed methodology to analyze 53,526 UGCs in the New Energy Vehicle (NEV) market and classify consumers into four segments: Brand-Value Suitors (32%), Rational Consumers (21%), High-Quality Fanciers (26%) and Utility-driven Consumers (21%). The authors describe four segments' preferences, dynamic changes over the past six years and regional characteristics among China's top five sales cities. Then, the authors verify the external validity of the methodology through a questionnaire survey and actual NEV sales in China.

The proposed method enables companies to utilize computing and information technology to understand the market structure and grasp the dynamic trends of market segments, which assists them in developing R&D and marketing plans.

This study contributes to the research on UGC-based universal market segmentation methods. In addition, the proposed UGC structural analysis algorithm implements a more fine-grained data analysis.

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Seize market opportunities: market segmentation, profile and monitoring through user-generated content10.1108/K-12-2022-1721Kybernetes2023-07-12© 2023 Emerald Publishing LimitedXiaoyan JiangJie LinChao WangLixin ZhouKybernetesahead-of-printahead-of-print2023-07-1210.1108/K-12-2022-1721https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1721/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Punish or reward? How to strengthen supervision of nucleic acid testinghttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1722/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestNucleic acid testing is an effective method of accurate prevention and control and a key measure to block the spread of the epidemic. However, the fraud in nucleic acid testing occurred frequently during epidemics. This paper aims to provide a viable scheme for the government to strengthen the supervision of nucleic acid testing and to provide a new condition for the punishment for the negative act of the government and the upper limit of the reward for nucleic acid testing institution of no data fraud. This paper formulates an evolutionary game model between the government and nucleic acid testing institution under four different mechanisms of reward and punishment to solve the issue of nucleic acid testing supervision. The authors discuss the stability of equilibrium points under the four distinct strategies and conduct simulation experiments. The authors find that the strategy of dynamic reward and static penalty outperforms the strategies of static reward and static penalty, dynamic reward and static penalty, static reward and dynamic penalty, dynamic reward and dynamic penalty. The results reveal the appropriate punishment for the negative act of the government can enhance the positivity of the government's supervision in the strategy of dynamic reward and static penalty, while the upper limit of the reward for nucleic acid testing institution of no data fraud cannot be too high. Otherwise, it will backfire. Another interesting and counterintuitive result is that in the strategy of dynamic reward and dynamic penalty, the upper limit of the penalty for data fraud of nucleic acid testing institution cannot be augmented recklessly. Otherwise, it will diminish the government's positivity for supervision. Most of the existing evolutionary game researches related to the reward and punishment mechanism and data fraud merely highlight that increasing the intensity of reward and punishment can help improve the government's supervision initiative and can minimize data fraud of nucleic acid institution, but they fall short of the boundary conditions for the punishment and reward mechanism. Previous literature only study the supervision of nucleic acid testing qualitatively and lacks quantitative research. Moreover, they do not depict the problem scenario of testing data fraud of nucleic acid institution regulated by the government via the evolutionary game model. Thus, this study effectively bridges these gaps. This research is universal and can be extended to other industries.Punish or reward? How to strengthen supervision of nucleic acid testing
Ji Kai, Ming Liu, Yue Wang, Ding Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Nucleic acid testing is an effective method of accurate prevention and control and a key measure to block the spread of the epidemic. However, the fraud in nucleic acid testing occurred frequently during epidemics. This paper aims to provide a viable scheme for the government to strengthen the supervision of nucleic acid testing and to provide a new condition for the punishment for the negative act of the government and the upper limit of the reward for nucleic acid testing institution of no data fraud.

This paper formulates an evolutionary game model between the government and nucleic acid testing institution under four different mechanisms of reward and punishment to solve the issue of nucleic acid testing supervision. The authors discuss the stability of equilibrium points under the four distinct strategies and conduct simulation experiments.

The authors find that the strategy of dynamic reward and static penalty outperforms the strategies of static reward and static penalty, dynamic reward and static penalty, static reward and dynamic penalty, dynamic reward and dynamic penalty. The results reveal the appropriate punishment for the negative act of the government can enhance the positivity of the government's supervision in the strategy of dynamic reward and static penalty, while the upper limit of the reward for nucleic acid testing institution of no data fraud cannot be too high. Otherwise, it will backfire. Another interesting and counterintuitive result is that in the strategy of dynamic reward and dynamic penalty, the upper limit of the penalty for data fraud of nucleic acid testing institution cannot be augmented recklessly. Otherwise, it will diminish the government's positivity for supervision.

Most of the existing evolutionary game researches related to the reward and punishment mechanism and data fraud merely highlight that increasing the intensity of reward and punishment can help improve the government's supervision initiative and can minimize data fraud of nucleic acid institution, but they fall short of the boundary conditions for the punishment and reward mechanism. Previous literature only study the supervision of nucleic acid testing qualitatively and lacks quantitative research. Moreover, they do not depict the problem scenario of testing data fraud of nucleic acid institution regulated by the government via the evolutionary game model. Thus, this study effectively bridges these gaps. This research is universal and can be extended to other industries.

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Punish or reward? How to strengthen supervision of nucleic acid testing10.1108/K-12-2022-1722Kybernetes2023-07-12© 2023 Emerald Publishing LimitedJi KaiMing LiuYue WangDing ZhangKybernetesahead-of-printahead-of-print2023-07-1210.1108/K-12-2022-1722https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1722/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Resilience strategies in coping to disruptions of wheat supply chain caused by the Russia–Ukraine war crisis: case study from an emerging economyhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1728/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe Russia–Ukraine war has disrupted the wheat supply worldwide. Given that wheat is one of the most important agri-food products in the world, it is necessary to pay attention to the wheat supply chain during the global crises. The use of resilience strategies is one of the solutions to face the supply chain disruptions. In addition, there is a possibility of multiple crises occurring in global societies simultaneously. In this research, the resilience strategies of backup suppliers (BS) and inventory pre-prepositioning (IP) were discussed in order to cope with the wheat supply chain disruptions. Furthermore, the p-Robust Scenario-based Stochastic Programming (PRSSP) approach was used to optimize the wheat supply chain under conditions of disruptions from two perspectives, feasibility and optimality. After implementing the problem of a real case in Iran, the results showed that the use of resilience strategy reduced costs by 9.33%. It was also found that if resilience strategies were used, system's flexibility and decision-making power increased. Besides, the results indicated that if resilience strategies were used and another crisis like the COVID-19 pandemic occurred, supply chain costs would increase less than when resilience strategies were not used. In this study, the design of the wheat supply chain was discussed according to the wheat supply disruptions due to the Russia–Ukraine war and its implementation on a real case. In the following, various resilience strategies were used to cope with the wheat supply chain disruptions. Finally, the effect of the COVID-19 pandemic on the wheat supply chain in the conditions of disruptions caused by the Russia–Ukraine war was investigated.Resilience strategies in coping to disruptions of wheat supply chain caused by the Russia–Ukraine war crisis: case study from an emerging economy
Misagh Rahbari, Alireza Arshadi Khamseh, Yaser Sadati-Keneti
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The Russia–Ukraine war has disrupted the wheat supply worldwide. Given that wheat is one of the most important agri-food products in the world, it is necessary to pay attention to the wheat supply chain during the global crises. The use of resilience strategies is one of the solutions to face the supply chain disruptions. In addition, there is a possibility of multiple crises occurring in global societies simultaneously.

In this research, the resilience strategies of backup suppliers (BS) and inventory pre-prepositioning (IP) were discussed in order to cope with the wheat supply chain disruptions. Furthermore, the p-Robust Scenario-based Stochastic Programming (PRSSP) approach was used to optimize the wheat supply chain under conditions of disruptions from two perspectives, feasibility and optimality.

After implementing the problem of a real case in Iran, the results showed that the use of resilience strategy reduced costs by 9.33%. It was also found that if resilience strategies were used, system's flexibility and decision-making power increased. Besides, the results indicated that if resilience strategies were used and another crisis like the COVID-19 pandemic occurred, supply chain costs would increase less than when resilience strategies were not used.

In this study, the design of the wheat supply chain was discussed according to the wheat supply disruptions due to the Russia–Ukraine war and its implementation on a real case. In the following, various resilience strategies were used to cope with the wheat supply chain disruptions. Finally, the effect of the COVID-19 pandemic on the wheat supply chain in the conditions of disruptions caused by the Russia–Ukraine war was investigated.

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Resilience strategies in coping to disruptions of wheat supply chain caused by the Russia–Ukraine war crisis: case study from an emerging economy10.1108/K-12-2022-1728Kybernetes2023-04-24© 2023 Emerald Publishing LimitedMisagh RahbariAlireza Arshadi KhamsehYaser Sadati-KenetiKybernetesahead-of-printahead-of-print2023-04-2410.1108/K-12-2022-1728https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1728/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Evaluation research on the independent controllability of high-end equipment manufacturing industry based on dual incentive control line: an empirical analysis from Jiangsu Provincehttps://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1765/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn order to analyze the level of independent controllability and its evolution of high-end equipment manufacturing industry from Jiangsu Province, this article introduces the dual-excitation control line method to construct a comprehensive evaluation model for independent controllability. Through the collection of information of high-end equipment manufacturing industry's independent and controllable capabilities on different indicators, the three aspects of advancement, autonomy and controllability, an empirical evaluation of 10 enterprises in the high-end equipment cluster in Jiangsu Province was conducted in terms of advancement, autonomy and controllability. It effectively reveals the area and evolution characteristics of the “reward” and “punishment” of different indicators of each representative enterprise and reflects the development status and different characteristics of each representative enterprise on the three indicators. The research results provide decision-making guidance for enterprises in the management and control of advanced manufacturing systems with independent and controllable capabilities. Existing research focuses on the evaluation of enterprises' independent controllability only on a single angle or index. This paper maps the dynamic evaluation problem of multiple time-point data to the evaluation problem of single time-point multi-index data and investigates the fluctuation of the performance of the same enterprise under different indexes, so as to comprehensively evaluate the independent controllable level of high-end equipment manufacturing industry and analyze the reasons. Further, this paper first establishes an evaluation index system of independent controllable level of high-end equipment manufacturing industry and quantitatively measures the advanced, independent, controllable and other aspects of typical enterprises in this industry by constructing a double incentive control line evaluation model.Evaluation research on the independent controllability of high-end equipment manufacturing industry based on dual incentive control line: an empirical analysis from Jiangsu Province
Yiming Li, Hongzhuan Chen, Shuo Cheng, Abdul Waheed Siyal
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

In order to analyze the level of independent controllability and its evolution of high-end equipment manufacturing industry from Jiangsu Province, this article introduces the dual-excitation control line method to construct a comprehensive evaluation model for independent controllability.

Through the collection of information of high-end equipment manufacturing industry's independent and controllable capabilities on different indicators, the three aspects of advancement, autonomy and controllability, an empirical evaluation of 10 enterprises in the high-end equipment cluster in Jiangsu Province was conducted in terms of advancement, autonomy and controllability.

It effectively reveals the area and evolution characteristics of the “reward” and “punishment” of different indicators of each representative enterprise and reflects the development status and different characteristics of each representative enterprise on the three indicators. The research results provide decision-making guidance for enterprises in the management and control of advanced manufacturing systems with independent and controllable capabilities.

Existing research focuses on the evaluation of enterprises' independent controllability only on a single angle or index. This paper maps the dynamic evaluation problem of multiple time-point data to the evaluation problem of single time-point multi-index data and investigates the fluctuation of the performance of the same enterprise under different indexes, so as to comprehensively evaluate the independent controllable level of high-end equipment manufacturing industry and analyze the reasons. Further, this paper first establishes an evaluation index system of independent controllable level of high-end equipment manufacturing industry and quantitatively measures the advanced, independent, controllable and other aspects of typical enterprises in this industry by constructing a double incentive control line evaluation model.

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Evaluation research on the independent controllability of high-end equipment manufacturing industry based on dual incentive control line: an empirical analysis from Jiangsu Province10.1108/K-12-2022-1765Kybernetes2023-05-09© 2023 Emerald Publishing LimitedYiming LiHongzhuan ChenShuo ChengAbdul Waheed SiyalKybernetesahead-of-printahead-of-print2023-05-0910.1108/K-12-2022-1765https://www.emerald.com/insight/content/doi/10.1108/K-12-2022-1765/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Land prices, digital instruments and retail performancehttps://www.emerald.com/insight/content/doi/10.1108/K-12-2023-2529/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe results indicate that land prices exert pressure on retail performance (RP) and that the enhancement of digital means has a positive effect on RP. Additionally, digital instruments (DI) play a significant moderating role in the relationship between land prices and RP. This paper empirically examines the impact of land prices on RP using panel data from 239 Chinese cities between 2011 and 2022. The use of lagged land prices as instrumental variables effectively alleviates endogeneity issues. Both two-stage least squares (2SLS) and generalized method of moments (GMM) regression results suggest that higher land prices are associated with improved RP. Further analysis reveals that the increase in land prices leads to scale effects, structural effects and technological effects, contributing to the enhancement of RP. The impact of land prices on RP becomes more pronounced in larger cities and economically developed regions experience the pressure from land prices earlier. The findings of this study have practical implications for discussions on retail industry development, site selection for retail businesses and the establishment of sustainable mechanisms for expanding domestic demand.Land prices, digital instruments and retail performance
Zhang GuoWei
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The results indicate that land prices exert pressure on retail performance (RP) and that the enhancement of digital means has a positive effect on RP. Additionally, digital instruments (DI) play a significant moderating role in the relationship between land prices and RP.

This paper empirically examines the impact of land prices on RP using panel data from 239 Chinese cities between 2011 and 2022.

The use of lagged land prices as instrumental variables effectively alleviates endogeneity issues. Both two-stage least squares (2SLS) and generalized method of moments (GMM) regression results suggest that higher land prices are associated with improved RP. Further analysis reveals that the increase in land prices leads to scale effects, structural effects and technological effects, contributing to the enhancement of RP. The impact of land prices on RP becomes more pronounced in larger cities and economically developed regions experience the pressure from land prices earlier.

The findings of this study have practical implications for discussions on retail industry development, site selection for retail businesses and the establishment of sustainable mechanisms for expanding domestic demand.

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Land prices, digital instruments and retail performance10.1108/K-12-2023-2529Kybernetes2024-02-22© 2024 Emerald Publishing LimitedZhang GuoWeiKybernetesahead-of-printahead-of-print2024-02-2210.1108/K-12-2023-2529https://www.emerald.com/insight/content/doi/10.1108/K-12-2023-2529/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
More sharing, more engagement? The impact of free knowledge sharing on customer engagement in online health communitieshttps://www.emerald.com/insight/content/doi/10.1108/K-12-2023-2562/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestKnowledge sharing in online health communities (OHCs) disrupts consumers' health information-seeking behavior patterns such as seeking health information and consulting. Based on social exchange theory, this study explores how the two dimensions of experts' free knowledge sharing (general and specific) affect customer transactional and nontransactional engagement behavior and how the quality of experts' free knowledge sharing moderates the above relationships. We adopted negative binomial regression models using homepage data of 2,982 experts crawled from Haodf.com using Python. The results show that experts' free general knowledge sharing and free specific knowledge sharing positively facilitate both transactional and nontransactional engagement of consumers. The results also demonstrate that experts' efforts in knowledge-sharing quality weaken the positive effect of their knowledge-sharing quantity on customer engagement. This study provides new insights into the importance of experts' free knowledge sharing in OHCs. This study also revealed a “trade-off” between experts' knowledge-sharing quality and quantity. These findings could help OHCs managers optimize knowledge-sharing recommendation mechanisms to encourage experts to share more health knowledge voluntarily and improve the efficiency of healthcare information dissemination to promote customer engagement.More sharing, more engagement? The impact of free knowledge sharing on customer engagement in online health communities
Zhen Xu, Ruohong Hao, Xuanxuan Lyu, Jiang Jiang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Knowledge sharing in online health communities (OHCs) disrupts consumers' health information-seeking behavior patterns such as seeking health information and consulting. Based on social exchange theory, this study explores how the two dimensions of experts' free knowledge sharing (general and specific) affect customer transactional and nontransactional engagement behavior and how the quality of experts' free knowledge sharing moderates the above relationships.

We adopted negative binomial regression models using homepage data of 2,982 experts crawled from Haodf.com using Python.

The results show that experts' free general knowledge sharing and free specific knowledge sharing positively facilitate both transactional and nontransactional engagement of consumers. The results also demonstrate that experts' efforts in knowledge-sharing quality weaken the positive effect of their knowledge-sharing quantity on customer engagement.

This study provides new insights into the importance of experts' free knowledge sharing in OHCs. This study also revealed a “trade-off” between experts' knowledge-sharing quality and quantity. These findings could help OHCs managers optimize knowledge-sharing recommendation mechanisms to encourage experts to share more health knowledge voluntarily and improve the efficiency of healthcare information dissemination to promote customer engagement.

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More sharing, more engagement? The impact of free knowledge sharing on customer engagement in online health communities10.1108/K-12-2023-2562Kybernetes2024-03-11© 2024 Emerald Publishing LimitedZhen XuRuohong HaoXuanxuan LyuJiang JiangKybernetesahead-of-printahead-of-print2024-03-1110.1108/K-12-2023-2562https://www.emerald.com/insight/content/doi/10.1108/K-12-2023-2562/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The spillover effect of sudden environmental disasters on energy technology innovation: evidence from Chinahttps://www.emerald.com/insight/content/doi/10.1108/K-12-2023-2565/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestExamine the effects of sudden environmental disasters on the advancement of both renewable and conventional energy technologies. Utilizing panel data from 31 Chinese provinces spanning 2011 to 2022, the SEM (Spatial Error Model) dual fixed model is utilized to examine the impact of sudden environmental disasters on energy technologies. The findings reveal that: (1) Sudden environmental disasters exert a markedly positive influence on the Innovation of Renewable Energy Technologies (IRET), while their impact on conventional energy technologies is positively non-significant. (2) Sudden environmental disasters not only significantly enhance innovation in local renewable energy technologies but also extend this positive influence to neighboring regions, demonstrating a spatial spillover phenomenon. (3) Research and Development (R&D) funding serves as a partial mediator in the relationship between sudden environmental disasters and renewable ETI. In contrast, Foreign Direct Investment (FDI) exhibits a masking effect. Consequently, the study advocates for intensified efforts in post-disaster reconstruction following abrupt environmental events, an elevation in the quality of foreign direct investments, and leveraging research funding to catalyze innovation in renewable energy technologies amid unforeseen environmental crises.The spillover effect of sudden environmental disasters on energy technology innovation: evidence from China
Shan Liang, Hui Ming Zhang
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

Examine the effects of sudden environmental disasters on the advancement of both renewable and conventional energy technologies.

Utilizing panel data from 31 Chinese provinces spanning 2011 to 2022, the SEM (Spatial Error Model) dual fixed model is utilized to examine the impact of sudden environmental disasters on energy technologies.

The findings reveal that: (1) Sudden environmental disasters exert a markedly positive influence on the Innovation of Renewable Energy Technologies (IRET), while their impact on conventional energy technologies is positively non-significant. (2) Sudden environmental disasters not only significantly enhance innovation in local renewable energy technologies but also extend this positive influence to neighboring regions, demonstrating a spatial spillover phenomenon. (3) Research and Development (R&D) funding serves as a partial mediator in the relationship between sudden environmental disasters and renewable ETI. In contrast, Foreign Direct Investment (FDI) exhibits a masking effect.

Consequently, the study advocates for intensified efforts in post-disaster reconstruction following abrupt environmental events, an elevation in the quality of foreign direct investments, and leveraging research funding to catalyze innovation in renewable energy technologies amid unforeseen environmental crises.

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The spillover effect of sudden environmental disasters on energy technology innovation: evidence from China10.1108/K-12-2023-2565Kybernetes2024-02-23© 2024 Emerald Publishing LimitedShan LiangHui Ming ZhangKybernetesahead-of-printahead-of-print2024-02-2310.1108/K-12-2023-2565https://www.emerald.com/insight/content/doi/10.1108/K-12-2023-2565/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Analyzing the concept of participatory learning: strategies, trends and future directions in educationhttps://www.emerald.com/insight/content/doi/10.1108/K-12-2023-2581/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe research questions probe into the heart of participatory learning’s scholarly landscape. They inquire about historical trends, shifts in research interest, and regional contributions, highlighting the global reach of participatory learning discourse. The study also reaches into the most cited papers, emphasizing their pivotal role in shaping the field’s trajectory. The research design of our study involves a retrospective analysis focused on the topic of participatory learning in education. A retrospective analysis is a methodological approach that entails examining existing literature, data, and publications within a specific field to identify trends, patterns, and insights over a defined period. In the context of participatory learning in education, this research design allows us to gain a comprehensive understanding of the evolution, contributions, and emerging directions within this pedagogical approach. The culmination of this study lies in formulating 75 thought-provoking future research questions. These questions are designed to guide the future trajectory of participatory learning research, addressing existing gaps and propelling the field toward new horizons. The findings of the study contribute to a panoramic view of participatory learning’s evolution, global impact, and potential for reshaping education. It is a compass for researchers, educators, and policymakers navigating the intricate landscape of participatory learning in education. Themes and topics are thoroughly explored, unrevealed the multidimensional nature of participatory learning research. The investigation spans time, revealing enduring themes while unveiling emerging areas of inquiry that capture the attention of researchers and practitioners. Current trends and focus areas are scrutinized, offering insights into the ever-evolving scholarly pursuits within participatory learning. This comprehensive study investigates the evolution and impact of research on participatory learning in education from 1995 to 2023. The research objectives encompass a broad spectrum, including trend analysis, geographical distribution assessment and identification of influential papers, thematic exploration, and the formulation of future research questions. Through a meticulous examination of published literature, this study aims to shed light on the development of participatory learning as a transformative educational approach. This study’s originality lies in its comprehensive analysis of participatory learning in education from 1995 to 2023, revealing temporal trends, global contributions, influential papers, thematic nuances, and emerging trends. By amalgamating these dimensions, it offers a holistic view of participatory learning’s evolution, impact, and future directions, enriching the understanding of this transformative educational approach and guiding further research and practice.Analyzing the concept of participatory learning: strategies, trends and future directions in education
Vijaya Lakshmi Dara, Chitra Kesavan
Kybernetes, Vol. ahead-of-print, No. ahead-of-print, pp.-

The research questions probe into the heart of participatory learning’s scholarly landscape. They inquire about historical trends, shifts in research interest, and regional contributions, highlighting the global reach of participatory learning discourse. The study also reaches into the most cited papers, emphasizing their pivotal role in shaping the field’s trajectory.

The research design of our study involves a retrospective analysis focused on the topic of participatory learning in education. A retrospective analysis is a methodological approach that entails examining existing literature, data, and publications within a specific field to identify trends, patterns, and insights over a defined period. In the context of participatory learning in education, this research design allows us to gain a comprehensive understanding of the evolution, contributions, and emerging directions within this pedagogical approach.

The culmination of this study lies in formulating 75 thought-provoking future research questions. These questions are designed to guide the future trajectory of participatory learning research, addressing existing gaps and propelling the field toward new horizons. The findings of the study contribute to a panoramic view of participatory learning’s evolution, global impact, and potential for reshaping education. It is a compass for researchers, educators, and policymakers navigating the intricate landscape of participatory learning in education.

Themes and topics are thoroughly explored, unrevealed the multidimensional nature of participatory learning research. The investigation spans time, revealing enduring themes while unveiling emerging areas of inquiry that capture the attention of researchers and practitioners. Current trends and focus areas are scrutinized, offering insights into the ever-evolving scholarly pursuits within participatory learning.

This comprehensive study investigates the evolution and impact of research on participatory learning in education from 1995 to 2023. The research objectives encompass a broad spectrum, including trend analysis, geographical distribution assessment and identification of influential papers, thematic exploration, and the formulation of future research questions. Through a meticulous examination of published literature, this study aims to shed light on the development of participatory learning as a transformative educational approach.

This study’s originality lies in its comprehensive analysis of participatory learning in education from 1995 to 2023, revealing temporal trends, global contributions, influential papers, thematic nuances, and emerging trends. By amalgamating these dimensions, it offers a holistic view of participatory learning’s evolution, impact, and future directions, enriching the understanding of this transformative educational approach and guiding further research and practice.

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Analyzing the concept of participatory learning: strategies, trends and future directions in education10.1108/K-12-2023-2581Kybernetes2024-03-21© 2024 Emerald Publishing LimitedVijaya Lakshmi DaraChitra KesavanKybernetesahead-of-printahead-of-print2024-03-2110.1108/K-12-2023-2581https://www.emerald.com/insight/content/doi/10.1108/K-12-2023-2581/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited