International Journal of Quality & Reliability ManagementTable of Contents for International Journal of Quality & Reliability Management. List of articles from the current issue, including Just Accepted (EarlyCite)https://www.emerald.com/insight/publication/issn/0265-671X/vol/41/iss/4?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestInternational Journal of Quality & Reliability ManagementEmerald Publishing LimitedInternational Journal of Quality & Reliability ManagementInternational Journal of Quality & Reliability Managementhttps://www.emerald.com/insight/proxy/containerImg?link=/resource/publication/journal/ded26b8db0875a9bec0074da545b8878/urn:emeraldgroup.com:asset:id:binary:ijqrm.cover.jpghttps://www.emerald.com/insight/publication/issn/0265-671X/vol/41/iss/4?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestQuality management research in Arab countries: current status and future directionshttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2022-0294/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to review the current status of quality management (QM) research in Arab countries between 2001 and 2020. The study adopted the content analysis methodology, searching through various databases and search engines for relevant publications using several keywords. The selected publications were classified according to several criteria and the obtained results were presented in the form of frequencies and percentages. Most research publications regarding QM were journal articles. The number of publications has steadily increased between 2001 and 2020. Moreover, QM research largely uses the quantitative research design. Questionnaire surveys are widely used as a data collection method; basic statistical analysis techniques are commonly employed to analyze the data. There is a tendency toward empirical research versus conceptual research. A few journal articles were published in reputed peer-reviewed international journals with low citation. Overall, Arab scholars research on QM and related topics over the past two decades is not significant for the field considering the number of published papers, citations and the papers published in reputed peer-reviewed international journals. This study has several limitations. First, it does not cover non-English information sources due to the overall lack of Arabic publication databases. Second, it uses a limited number of criteria to classify the selected publications. Third, it adopts the content analysis methodology to classify the selected publications. This method has several limitations, which may negatively affect the results. Nevertheless, the study offers several implications for research scholars, educators and practitioners. This is the first study to attempt a comprehensive overview of the state of research on QM in Arab countries between 2001 and 2020 using the content analysis methodology.Quality management research in Arab countries: current status and future directions
Darwish Abdulrahman Yousef
International Journal of Quality & Reliability Management, Vol. 41, No. 4, pp.993-1019

This study aims to review the current status of quality management (QM) research in Arab countries between 2001 and 2020.

The study adopted the content analysis methodology, searching through various databases and search engines for relevant publications using several keywords. The selected publications were classified according to several criteria and the obtained results were presented in the form of frequencies and percentages.

Most research publications regarding QM were journal articles. The number of publications has steadily increased between 2001 and 2020. Moreover, QM research largely uses the quantitative research design. Questionnaire surveys are widely used as a data collection method; basic statistical analysis techniques are commonly employed to analyze the data. There is a tendency toward empirical research versus conceptual research. A few journal articles were published in reputed peer-reviewed international journals with low citation. Overall, Arab scholars research on QM and related topics over the past two decades is not significant for the field considering the number of published papers, citations and the papers published in reputed peer-reviewed international journals.

This study has several limitations. First, it does not cover non-English information sources due to the overall lack of Arabic publication databases. Second, it uses a limited number of criteria to classify the selected publications. Third, it adopts the content analysis methodology to classify the selected publications. This method has several limitations, which may negatively affect the results. Nevertheless, the study offers several implications for research scholars, educators and practitioners.

This is the first study to attempt a comprehensive overview of the state of research on QM in Arab countries between 2001 and 2020 using the content analysis methodology.

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Quality management research in Arab countries: current status and future directions10.1108/IJQRM-10-2022-0294International Journal of Quality & Reliability Management2023-09-29© 2023 Emerald Publishing LimitedDarwish Abdulrahman YousefInternational Journal of Quality & Reliability Management4142023-09-2910.1108/IJQRM-10-2022-0294https://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2022-0294/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A hybrid integrated multi-criteria decision-making approach for risk assessment: a study of automotive parts industryhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0010/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to enable the analysts of reliability and safety systems to evaluate the risk and prioritize failure modes ideally to prefer measures for reducing the risk of undesired events. To address the constraints considered in the conventional failure mode and effects analysis (FMEA) method for criticality assessment, the authors propose a new hybrid model combining different multi-criteria decision-making (MCDM) methods. The analytical hierarchy process (AHP) is used to construct a criticality matrix and calculate the weights of different criteria based on five criticalities: personnel, equipment, time, cost and quality. In addition, a preference ranking organization method for enrichment evaluation (PROMETHEE) method is used to improve the prioritization of the failure modes. A comparative work in which the robust data envelopment analysis (RDEA)-FMEA approach was used to evaluate the validity and effectiveness of the suggested approach and simplify the comparative analysis. This work aims to highlight the real case study of the automotive parts industry. Using this analysis enables assessing the risk efficiently and gives an alternative ranking to that acquired by the traditional FMEA method. The obtained findings offer that combining of two multi-criteria decision approaches and integrating their outcomes allow for instilling confidence in decision-makers concerning the risk assessment and the ranking of the different failure modes. This research gives encouraging outcomes concerning the risk assessment and failure modes ranking in order to reduce the frequency of occurrence and gravity of the undesired events by handling different forms of uncertainty and divergent judgments of experts.A hybrid integrated multi-criteria decision-making approach for risk assessment: a study of automotive parts industry
Ammar Chakhrit, Mohammed Bougofa, Islam Hadj Mohamed Guetarni, Abderraouf Bouafia, Rabeh Kharzi, Naima Nehal, Mohammed Chennoufi
International Journal of Quality & Reliability Management, Vol. 41, No. 4, pp.1020-1043

This paper aims to enable the analysts of reliability and safety systems to evaluate the risk and prioritize failure modes ideally to prefer measures for reducing the risk of undesired events.

To address the constraints considered in the conventional failure mode and effects analysis (FMEA) method for criticality assessment, the authors propose a new hybrid model combining different multi-criteria decision-making (MCDM) methods. The analytical hierarchy process (AHP) is used to construct a criticality matrix and calculate the weights of different criteria based on five criticalities: personnel, equipment, time, cost and quality. In addition, a preference ranking organization method for enrichment evaluation (PROMETHEE) method is used to improve the prioritization of the failure modes. A comparative work in which the robust data envelopment analysis (RDEA)-FMEA approach was used to evaluate the validity and effectiveness of the suggested approach and simplify the comparative analysis.

This work aims to highlight the real case study of the automotive parts industry. Using this analysis enables assessing the risk efficiently and gives an alternative ranking to that acquired by the traditional FMEA method. The obtained findings offer that combining of two multi-criteria decision approaches and integrating their outcomes allow for instilling confidence in decision-makers concerning the risk assessment and the ranking of the different failure modes.

This research gives encouraging outcomes concerning the risk assessment and failure modes ranking in order to reduce the frequency of occurrence and gravity of the undesired events by handling different forms of uncertainty and divergent judgments of experts.

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A hybrid integrated multi-criteria decision-making approach for risk assessment: a study of automotive parts industry10.1108/IJQRM-01-2023-0010International Journal of Quality & Reliability Management2023-09-28© 2023 Emerald Publishing LimitedAmmar ChakhritMohammed BougofaIslam Hadj Mohamed GuetarniAbderraouf BouafiaRabeh KharziNaima NehalMohammed ChennoufiInternational Journal of Quality & Reliability Management4142023-09-2810.1108/IJQRM-01-2023-0010https://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0010/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Critical failure factors for Quality 4.0: an exploratory qualitative studyhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2023-0240/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate the adoption of Quality 4.0 (Q4.0) and assess the critical failure factors (CFFs) for its implementation and how its failure is measured. A qualitative study based on in-depth interviews with quality managers and executives was conducted to establish the CFFs for Q4.0. The significant CFFs highlighted were resistance to change and a lack of understanding of the concept of Q4.0. There was also a complete lack of access to or availability of training around Q4.0. The study enhances the body of literature on Q4.0 and is one of the first research studies to provide insight into the CFFs of Q4.0. Based on the discussions with experts in the area of quality in various large and small organizations, one can understand the types of Q4.0 initiatives and the CFFs of Q4.0. By identifying the CFFs, one can establish the steps for improvements for organizations worldwide if they want to implement Q4.0 in the future on the competitive global stage. The concept of Q4.0 is at the very nascent stage, and thus, the CFFs have not been found in the extant literature. As a result, the article aids businesses in understanding possible problems that might derail their Q4.0 activities.Critical failure factors for Quality 4.0: an exploratory qualitative study
Jiju Antony, Arshia Kaul, Shreeranga Bhat, Michael Sony, Vasundhara Kaul, Maryam Zulfiqar, Olivia McDermott
International Journal of Quality & Reliability Management, Vol. 41, No. 4, pp.1044-1062

This study aims to investigate the adoption of Quality 4.0 (Q4.0) and assess the critical failure factors (CFFs) for its implementation and how its failure is measured.

A qualitative study based on in-depth interviews with quality managers and executives was conducted to establish the CFFs for Q4.0.

The significant CFFs highlighted were resistance to change and a lack of understanding of the concept of Q4.0. There was also a complete lack of access to or availability of training around Q4.0.

The study enhances the body of literature on Q4.0 and is one of the first research studies to provide insight into the CFFs of Q4.0.

Based on the discussions with experts in the area of quality in various large and small organizations, one can understand the types of Q4.0 initiatives and the CFFs of Q4.0. By identifying the CFFs, one can establish the steps for improvements for organizations worldwide if they want to implement Q4.0 in the future on the competitive global stage.

The concept of Q4.0 is at the very nascent stage, and thus, the CFFs have not been found in the extant literature. As a result, the article aids businesses in understanding possible problems that might derail their Q4.0 activities.

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Critical failure factors for Quality 4.0: an exploratory qualitative study10.1108/IJQRM-07-2023-0240International Journal of Quality & Reliability Management2023-10-12© 2020 Jiju Antony, Arshia Kaul, Shreeranga Bhat, Michael Sony, Vasundhara Kaul, Maryam Zulfiqar and Olivia McDermottJiju AntonyArshia KaulShreeranga BhatMichael SonyVasundhara KaulMaryam ZulfiqarOlivia McDermottInternational Journal of Quality & Reliability Management4142023-10-1210.1108/IJQRM-07-2023-0240https://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2023-0240/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2020 Jiju Antony, Arshia Kaul, Shreeranga Bhat, Michael Sony, Vasundhara Kaul, Maryam Zulfiqar and Olivia McDermotthttp://creativecommons.org/licences/by/4.0/legalcode
Proposal of a facilitating methodology for fuzzy FMEA implementation with application in process risk analysis in the aeronautical sectorhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2023-0237/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy variations, supported by a case application in the aeronautical sector. Based on experts' opinions in risk analysis within the aeronautical sector, rules governing the relationship between severity, occurrence, detection and risk factor were defined. This served as input for developing a fuzzyfied FMEA tool using the Matlab Fuzzy Logic Toolbox. The tool was applied to the sealing process in a company within the aeronautical sector, using triangular and trapezoidal membership functions, and the results were compared with the traditional FMEA approach. The results of the comparative application of traditional FMEA and fuzzyfied FMEA using triangular and trapezoidal functions have yielded valuable insights into risk analysis. The findings indicated that fuzzyfied FMEA maintained coherence with the traditional analysis in identifying higher-risk effects, aligning with the prioritization of critical failure modes. Additionally, fuzzyfied FMEA allowed for a more refined prioritization by accounting for variations in each variable through fuzzy rules, thereby improving the accuracy of risk analysis and providing a more realistic representation of potential hazards. The application of the developed fuzzyfied FMEA approach showed promise in enhancing risk assessment in the aeronautical sector by considering uncertainties and offering a more detailed and context-specific analysis compared to conventional FMEA. This study emphasizes the potential of fuzzyfied FMEA in enhancing risk assessment by accurately identifying critical failure modes and providing a more realistic representation of potential hazards. The application case reveals that the proposed tool can be integrated with expert knowledge to improve decision-making processes and risk mitigation strategies within the aeronautical industry. Due to its straightforward approach, this facilitating methodology could also prove beneficial in other industrial sectors. This paper presents the development and application of a facilitating methodology for implementing Fuzzy FMEA, comparing it with the traditional approach and incorporating variations using triangular and trapezoidal functions. This proposed methodology uses the Toolbox Fuzzy Logic of Matlab to create a fuzzyfied FMEA tool, enabling a more nuanced and context-specific risk analysis by considering uncertainties.Proposal of a facilitating methodology for fuzzy FMEA implementation with application in process risk analysis in the aeronautical sector
Bianca Arcifa de Resende, Franco Giuseppe Dedini, Jony Javorsky Eckert, Tiago F.A.C. Sigahi, Jefferson de Souza Pinto, Rosley Anholon
International Journal of Quality & Reliability Management, Vol. 41, No. 4, pp.1063-1088

This study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy variations, supported by a case application in the aeronautical sector.

Based on experts' opinions in risk analysis within the aeronautical sector, rules governing the relationship between severity, occurrence, detection and risk factor were defined. This served as input for developing a fuzzyfied FMEA tool using the Matlab Fuzzy Logic Toolbox. The tool was applied to the sealing process in a company within the aeronautical sector, using triangular and trapezoidal membership functions, and the results were compared with the traditional FMEA approach.

The results of the comparative application of traditional FMEA and fuzzyfied FMEA using triangular and trapezoidal functions have yielded valuable insights into risk analysis. The findings indicated that fuzzyfied FMEA maintained coherence with the traditional analysis in identifying higher-risk effects, aligning with the prioritization of critical failure modes. Additionally, fuzzyfied FMEA allowed for a more refined prioritization by accounting for variations in each variable through fuzzy rules, thereby improving the accuracy of risk analysis and providing a more realistic representation of potential hazards. The application of the developed fuzzyfied FMEA approach showed promise in enhancing risk assessment in the aeronautical sector by considering uncertainties and offering a more detailed and context-specific analysis compared to conventional FMEA.

This study emphasizes the potential of fuzzyfied FMEA in enhancing risk assessment by accurately identifying critical failure modes and providing a more realistic representation of potential hazards. The application case reveals that the proposed tool can be integrated with expert knowledge to improve decision-making processes and risk mitigation strategies within the aeronautical industry. Due to its straightforward approach, this facilitating methodology could also prove beneficial in other industrial sectors.

This paper presents the development and application of a facilitating methodology for implementing Fuzzy FMEA, comparing it with the traditional approach and incorporating variations using triangular and trapezoidal functions. This proposed methodology uses the Toolbox Fuzzy Logic of Matlab to create a fuzzyfied FMEA tool, enabling a more nuanced and context-specific risk analysis by considering uncertainties.

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Proposal of a facilitating methodology for fuzzy FMEA implementation with application in process risk analysis in the aeronautical sector10.1108/IJQRM-07-2023-0237International Journal of Quality & Reliability Management2023-10-24© 2023 Emerald Publishing LimitedBianca Arcifa de ResendeFranco Giuseppe DediniJony Javorsky EckertTiago F.A.C. SigahiJefferson de Souza PintoRosley AnholonInternational Journal of Quality & Reliability Management4142023-10-2410.1108/IJQRM-07-2023-0237https://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2023-0237/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The impact of quality on health-insurance users' satisfaction in Saudi Arabia: the mediating role of brand image and utilitarian valuehttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2022-0209/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study assesses the quality of health-insurance services and their impact on customer satisfaction, examining the mediating role of utilitarian value and brand image in this relationship. Survey data were collected from 345 health-insurance companies' customers selected through convenience sampling and were analyzed using SmartPLS. Service quality statistically significantly influences customer satisfaction with health insurance in Saudi Arabia, whereas brand image and utilitarian value partially mediate this relationship. The structural path between service quality and brand image was statistically significant and positive. The utilitarian dimension positively affects customer satisfaction and service quality. This study is significant to the management, as it provides insight into the expectations of health-insurance users. The focus is to gain a competitive advantage by improving customer service and brand image. This investigation contributes to the field by exploring the mediating role of utilitarian value and brand image in the relationship between health-insurance quality and customer satisfaction based on the information provided by insurance policyholders in Saudi Arabia.The impact of quality on health-insurance users' satisfaction in Saudi Arabia: the mediating role of brand image and utilitarian value
Safinaz Hassan Abourokbah, Khalid Sami Husain
International Journal of Quality & Reliability Management, Vol. 41, No. 4, pp.1089-1110

This study assesses the quality of health-insurance services and their impact on customer satisfaction, examining the mediating role of utilitarian value and brand image in this relationship.

Survey data were collected from 345 health-insurance companies' customers selected through convenience sampling and were analyzed using SmartPLS.

Service quality statistically significantly influences customer satisfaction with health insurance in Saudi Arabia, whereas brand image and utilitarian value partially mediate this relationship. The structural path between service quality and brand image was statistically significant and positive. The utilitarian dimension positively affects customer satisfaction and service quality.

This study is significant to the management, as it provides insight into the expectations of health-insurance users. The focus is to gain a competitive advantage by improving customer service and brand image.

This investigation contributes to the field by exploring the mediating role of utilitarian value and brand image in the relationship between health-insurance quality and customer satisfaction based on the information provided by insurance policyholders in Saudi Arabia.

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The impact of quality on health-insurance users' satisfaction in Saudi Arabia: the mediating role of brand image and utilitarian value10.1108/IJQRM-07-2022-0209International Journal of Quality & Reliability Management2023-10-25© 2023 Emerald Publishing LimitedSafinaz Hassan AbourokbahKhalid Sami HusainInternational Journal of Quality & Reliability Management4142023-10-2510.1108/IJQRM-07-2022-0209https://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2022-0209/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The influence of library service quality, library image, place, personal control and trust on loyalty: the mediating role of perceived service value and satisfactionhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2023-0167/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestOne of the organization's main goals is to maintain their customers' loyalty, as this can give them a competitive advantage. Therefore, this study is intended to look into the impact of library service quality using LibQUAL + TM dimensions (library service effect, personal control and library as a place), library image and trust on users’ loyalty with the mediating effect of perceived service value and satisfaction. Data for hypotheses testing were gathered from Minhaj University Lahore (MUL), a private sector university's staff, administration and students, using a survey questionnaire. About 500 questionnaires were randomly distributed, and 407 were utilized as the final sample for analysis. Structural equation modelling (SEM), using SmartPLS 4 and SPSS 25, were used to analyze the empirical data. First, research reveals that library image, users’ trust, library service effect and personal control significantly influence user satisfaction. Second, the library as a place and personal control are not a significant indicator of perceived service value. Third, perceived service value and satisfaction have a direct positive relationship with users' loyalty. Fourth, trust and library service effect is indirectly related to loyalty via perceived service value. Fifth, satisfaction does not mediate the relationship between library as a place and loyalty. Customer satisfaction must be guaranteed by library administration if it hopes to win users’ loyalty. In light of the fact that a variety of factors can affect customer satisfaction, their perception and loyalty, library management should enhance not just the quality of library services along with other factors such as library image and users’ trust. The study examined the independent impact of library image and users’ trust on satisfaction, perceived service value and users’ loyalty, which, within the framework of the library, has never been addressed in literature.The influence of library service quality, library image, place, personal control and trust on loyalty: the mediating role of perceived service value and satisfaction
Shahab Alam Malik, Taqdees Fatima, Yong Jia, Hina Pannu
International Journal of Quality & Reliability Management, Vol. 41, No. 4, pp.1111-1129

One of the organization's main goals is to maintain their customers' loyalty, as this can give them a competitive advantage. Therefore, this study is intended to look into the impact of library service quality using LibQUAL + TM dimensions (library service effect, personal control and library as a place), library image and trust on users’ loyalty with the mediating effect of perceived service value and satisfaction.

Data for hypotheses testing were gathered from Minhaj University Lahore (MUL), a private sector university's staff, administration and students, using a survey questionnaire. About 500 questionnaires were randomly distributed, and 407 were utilized as the final sample for analysis. Structural equation modelling (SEM), using SmartPLS 4 and SPSS 25, were used to analyze the empirical data.

First, research reveals that library image, users’ trust, library service effect and personal control significantly influence user satisfaction. Second, the library as a place and personal control are not a significant indicator of perceived service value. Third, perceived service value and satisfaction have a direct positive relationship with users' loyalty. Fourth, trust and library service effect is indirectly related to loyalty via perceived service value. Fifth, satisfaction does not mediate the relationship between library as a place and loyalty.

Customer satisfaction must be guaranteed by library administration if it hopes to win users’ loyalty. In light of the fact that a variety of factors can affect customer satisfaction, their perception and loyalty, library management should enhance not just the quality of library services along with other factors such as library image and users’ trust.

The study examined the independent impact of library image and users’ trust on satisfaction, perceived service value and users’ loyalty, which, within the framework of the library, has never been addressed in literature.

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The influence of library service quality, library image, place, personal control and trust on loyalty: the mediating role of perceived service value and satisfaction10.1108/IJQRM-05-2023-0167International Journal of Quality & Reliability Management2023-10-27© 2023 Emerald Publishing LimitedShahab Alam MalikTaqdees FatimaYong JiaHina PannuInternational Journal of Quality & Reliability Management4142023-10-2710.1108/IJQRM-05-2023-0167https://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2023-0167/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Process capability index under autoregressive process AR (2)https://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0053/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe paper aims to identify the effect of ignorance of correlatedness among process observations and to implement new sampling schemes; skip and mixed sampling, in order to reduce the effect of autocorrelation on process capability index (PCI) Cpm. Autocorrelated observations are generated using autoregressive process of order two (AR (2)) using Monte Carlo simulations. The PCI is computed based on these observations assuming the independence. The skip and mixed sampling schemes are then used to form sub-groups among correlated observations. The PCI obtained using sub-groups from skip and mixed sampling schemes are assessed using sample mean and sample standard deviation. The paper provides empirical insights into how the effect of autocorrelation decreases in the estimated value of PCI Cpm. The use of new sampling schemes, skip and mixed sampling, reduces the effect of autocorrelation on estimates of PCI Cpm. This paper fulfills an identified need to study how to reduce the effect of autocorrelation on PCI Cpm.Process capability index under autoregressive process AR (2)
Vikas Ghute, Mahesh Deshpande
International Journal of Quality & Reliability Management, Vol. 41, No. 4, pp.1130-1141

The paper aims to identify the effect of ignorance of correlatedness among process observations and to implement new sampling schemes; skip and mixed sampling, in order to reduce the effect of autocorrelation on process capability index (PCI) Cpm.

Autocorrelated observations are generated using autoregressive process of order two (AR (2)) using Monte Carlo simulations. The PCI is computed based on these observations assuming the independence. The skip and mixed sampling schemes are then used to form sub-groups among correlated observations. The PCI obtained using sub-groups from skip and mixed sampling schemes are assessed using sample mean and sample standard deviation.

The paper provides empirical insights into how the effect of autocorrelation decreases in the estimated value of PCI Cpm. The use of new sampling schemes, skip and mixed sampling, reduces the effect of autocorrelation on estimates of PCI Cpm.

This paper fulfills an identified need to study how to reduce the effect of autocorrelation on PCI Cpm.

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Process capability index under autoregressive process AR (2)10.1108/IJQRM-02-2023-0053International Journal of Quality & Reliability Management2023-11-24© 2023 Emerald Publishing LimitedVikas GhuteMahesh DeshpandeInternational Journal of Quality & Reliability Management4142023-11-2410.1108/IJQRM-02-2023-0053https://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0053/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Appraise the role of novelty-seeking on consumers’ satisfaction using online food delivery applicationshttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-11-2022-0341/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe primary intent of this study was to assess the influence of novelty-seeking on the satisfaction of consumers. The investigation concentrated on Malaysian consumers who have experience using online food delivery (OFD) applications. To perform the research, non-probability and convenience sampling methods were enforced to gather the required data. An online questionnaire in the form of a Google Survey was conducted in Kuala Lumpur, Malaysia. Upon completion of the survey, the results were analyzed using SPSS software. Both the Service Quality (SERVQUAL) model and expectation disconfirmation theory (EDT) were exploited to shed light on the impact of consumer satisfaction. Analysis of responses from the 250 participants unveiled that novelty-seeking positively influences consumer satisfaction. The finding depicted that reliability and responsiveness have the most positive impact on consumer satisfaction whereas tangibility has no effect on the satisfaction of consumers by using OFD applications. This study had three main limitations: first, the limitations on access to the participants during the pandemic; second, combining quantitative and qualitative methods to obtain more accurate results; third, the study was limited to the context of Kuala Lumpur, Malaysia. The conclusions brought to the fore that OFD marketers should provide appropriate service quality while concentrating on novelty and well-designed apps to surge consumer satisfaction. OFD apps have facilitated customers' access to various meals and helped food vendors survive in the competitive marketplace. A new aspect, novelty-seeking, is added to the SERVQUAL dimensions (i.e. empathy, tangibility, reliability, assurance and responsiveness) identified in the literature review.Appraise the role of novelty-seeking on consumers’ satisfaction using online food delivery applications
Seyedeh Fatemeh Kalantarzadeh Tezerjany
International Journal of Quality & Reliability Management, Vol. 41, No. 4, pp.1142-1164

The primary intent of this study was to assess the influence of novelty-seeking on the satisfaction of consumers. The investigation concentrated on Malaysian consumers who have experience using online food delivery (OFD) applications.

To perform the research, non-probability and convenience sampling methods were enforced to gather the required data. An online questionnaire in the form of a Google Survey was conducted in Kuala Lumpur, Malaysia. Upon completion of the survey, the results were analyzed using SPSS software. Both the Service Quality (SERVQUAL) model and expectation disconfirmation theory (EDT) were exploited to shed light on the impact of consumer satisfaction.

Analysis of responses from the 250 participants unveiled that novelty-seeking positively influences consumer satisfaction. The finding depicted that reliability and responsiveness have the most positive impact on consumer satisfaction whereas tangibility has no effect on the satisfaction of consumers by using OFD applications.

This study had three main limitations: first, the limitations on access to the participants during the pandemic; second, combining quantitative and qualitative methods to obtain more accurate results; third, the study was limited to the context of Kuala Lumpur, Malaysia.

The conclusions brought to the fore that OFD marketers should provide appropriate service quality while concentrating on novelty and well-designed apps to surge consumer satisfaction.

OFD apps have facilitated customers' access to various meals and helped food vendors survive in the competitive marketplace. A new aspect, novelty-seeking, is added to the SERVQUAL dimensions (i.e. empathy, tangibility, reliability, assurance and responsiveness) identified in the literature review.

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Appraise the role of novelty-seeking on consumers’ satisfaction using online food delivery applications10.1108/IJQRM-11-2022-0341International Journal of Quality & Reliability Management2023-11-15© 2023 Emerald Publishing LimitedSeyedeh Fatemeh Kalantarzadeh TezerjanyInternational Journal of Quality & Reliability Management4142023-11-1510.1108/IJQRM-11-2022-0341https://www.emerald.com/insight/content/doi/10.1108/IJQRM-11-2022-0341/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Improving shuttle services quality in VUCA world: evidence from the IT industryhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0069/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAs the world is becoming more volatile and uncertain, organizations face much complexity in their daily operations. Further, there is a much ambiguity in business operations to achieve the effective utilization of resources. The work optimizes a novel constraint programming model approach of the utilization of shuttle services vehicle while considering cost savings, employee wellbeing and other real an Information Technology enabled service (ITES) industry constraints. The present work considers a novel extension of the vehicle routing problem related to the shuttle service operation in an ITES industry in VUCA context. Additionally, the model considers the women safety aspects, which engages the company to provide a security guard for women employees in the night shift. Numerical experiments were conducted on real instances data of ITES industrial partner. The results show that the vehicle utilization increased from 75% up to 96% while ensuring in parallel the wellbeing of employees and women safety during the night shift. Finally, the proposed model is converted to a decision support application allowing ITES partner to plan employees shuttle service operations efficiently. Study has evaluated the shuttle services optimization for ITES industry using data from industrial which makes it a unique contribution to literature in shuttle operations. Further, the study used constraint programming to evaluate the vehicle utilization and security allocation, thereby introducing new parameter on security allocation in open VRP problem.Improving shuttle services quality in VUCA world: evidence from the IT industry
Kalpana Pitchaimani, Tarik Zouadi, K.S. Lokesh, V. Raja Sreedharan
International Journal of Quality & Reliability Management, Vol. 41, No. 4, pp.1165-1184

As the world is becoming more volatile and uncertain, organizations face much complexity in their daily operations. Further, there is a much ambiguity in business operations to achieve the effective utilization of resources. The work optimizes a novel constraint programming model approach of the utilization of shuttle services vehicle while considering cost savings, employee wellbeing and other real an Information Technology enabled service (ITES) industry constraints.

The present work considers a novel extension of the vehicle routing problem related to the shuttle service operation in an ITES industry in VUCA context. Additionally, the model considers the women safety aspects, which engages the company to provide a security guard for women employees in the night shift.

Numerical experiments were conducted on real instances data of ITES industrial partner. The results show that the vehicle utilization increased from 75% up to 96% while ensuring in parallel the wellbeing of employees and women safety during the night shift. Finally, the proposed model is converted to a decision support application allowing ITES partner to plan employees shuttle service operations efficiently.

Study has evaluated the shuttle services optimization for ITES industry using data from industrial which makes it a unique contribution to literature in shuttle operations. Further, the study used constraint programming to evaluate the vehicle utilization and security allocation, thereby introducing new parameter on security allocation in open VRP problem.

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Improving shuttle services quality in VUCA world: evidence from the IT industry10.1108/IJQRM-03-2023-0069International Journal of Quality & Reliability Management2023-11-22© 2023 Emerald Publishing LimitedKalpana PitchaimaniTarik ZouadiK.S. LokeshV. Raja SreedharanInternational Journal of Quality & Reliability Management4142023-11-2210.1108/IJQRM-03-2023-0069https://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0069/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Pattern analysis of auto parts failures in the after-sales service network; an interconnected approach of association rules mining and Bayesian networks in the automotive industryhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0031/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWarranty-based big data analysis has attracted a great deal of attention because of its key capabilities and role in improving product quality while minimizing costs. Information and details about particular parts (components) repair and replacement during the warranty term, usually stored in the after-sales service database, can be used to solve problems in a variety of sectors. Due to the small number of studies related to the complete analysis of parts failure patterns in the automotive industry in the literature, this paper focuses on discovering and assessing the impact of lesser-studied factors on the failure of auto parts in the warranty period from the after-sales data of an automotive manufacturer. The interconnected method used in this study for analyzing failure patterns is formed by combining association rules (AR) mining and Bayesian networks (BNs). This research utilized AR analysis to extract valuable information from warranty data, exploring the relationship between component failure, time and location. Additionally, BNs were employed to investigate other potential factors influencing component failure, which could not be identified using Association Rules alone. This approach provided a more comprehensive evaluation of the data and valuable insights for decision-making in relevant industries. This study's findings are believed to be practical in achieving a better dissection and providing a comprehensive package that can be utilized to increase component quality and overcome cross-sectional solutions. The integration of these methods allowed for a wider exploration of potential factors influencing component failure, enhancing the validity and depth of the research findings.Pattern analysis of auto parts failures in the after-sales service network; an interconnected approach of association rules mining and Bayesian networks in the automotive industry
Ahmad Ebrahimi, Sara Mojtahedi
International Journal of Quality & Reliability Management, Vol. 41, No. 4, pp.1185-1207

Warranty-based big data analysis has attracted a great deal of attention because of its key capabilities and role in improving product quality while minimizing costs. Information and details about particular parts (components) repair and replacement during the warranty term, usually stored in the after-sales service database, can be used to solve problems in a variety of sectors. Due to the small number of studies related to the complete analysis of parts failure patterns in the automotive industry in the literature, this paper focuses on discovering and assessing the impact of lesser-studied factors on the failure of auto parts in the warranty period from the after-sales data of an automotive manufacturer.

The interconnected method used in this study for analyzing failure patterns is formed by combining association rules (AR) mining and Bayesian networks (BNs).

This research utilized AR analysis to extract valuable information from warranty data, exploring the relationship between component failure, time and location. Additionally, BNs were employed to investigate other potential factors influencing component failure, which could not be identified using Association Rules alone. This approach provided a more comprehensive evaluation of the data and valuable insights for decision-making in relevant industries.

This study's findings are believed to be practical in achieving a better dissection and providing a comprehensive package that can be utilized to increase component quality and overcome cross-sectional solutions. The integration of these methods allowed for a wider exploration of potential factors influencing component failure, enhancing the validity and depth of the research findings.

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Pattern analysis of auto parts failures in the after-sales service network; an interconnected approach of association rules mining and Bayesian networks in the automotive industry10.1108/IJQRM-02-2023-0031International Journal of Quality & Reliability Management2023-11-17© 2023 Emerald Publishing LimitedAhmad EbrahimiSara MojtahediInternational Journal of Quality & Reliability Management4142023-11-1710.1108/IJQRM-02-2023-0031https://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0031/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Optimizing quality enhancement cells in higher education institutions: analyzing management support, quality infrastructure and staff traininghttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2021-0007/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate the relationship between management support, quality infrastructure, staff training and the effectiveness of quality enhancement cells (QECs) established in higher education institutions. Data were acquired via a structured questionnaire dispatched to faculty members across 12 public and private universities, primarily situated in Punjab, Pakistan. Among the 200 questionnaires distributed, 180 were retrieved and 140 were deemed valid. The proposed relationships were examined using SPSS–25 and PLS–SEM. The results show a positive and significant relationship between management support, quality infrastructure and staff training with QECs' effectiveness. The study also highlights that the effectiveness of QECs is “Good” in only two of the 12 universities, while in most universities it is “Barely Acceptable”. Furthermore, QECs' effectiveness is slightly better in public universities compared to private institutions. The study employs convenience sampling and a cross-sectional approach, focusing on faculty members from 12 universities, primarily in Punjab, Pakistan. To enhance future research, larger samples and probability-based sampling should be considered, while involving quality managers and students for a broader perspective. The research suggests policymakers and university leaders should strengthen their support by providing resources, quality infrastructure and training for academic and administrative staff. This would enhance the effectiveness of QECs and improve the overall quality of education in both public and private universities. This study contributes to the literature on quality assurance in higher education by emphasizing the significance of QECs concerning management support, quality infrastructure and staff training – areas that are often overlooked in Pakistani universities.Optimizing quality enhancement cells in higher education institutions: analyzing management support, quality infrastructure and staff training
Shahzaf Iqbal, Kamran Moosa, Che Azlan Bin Taib
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to investigate the relationship between management support, quality infrastructure, staff training and the effectiveness of quality enhancement cells (QECs) established in higher education institutions.

Data were acquired via a structured questionnaire dispatched to faculty members across 12 public and private universities, primarily situated in Punjab, Pakistan. Among the 200 questionnaires distributed, 180 were retrieved and 140 were deemed valid. The proposed relationships were examined using SPSS–25 and PLS–SEM.

The results show a positive and significant relationship between management support, quality infrastructure and staff training with QECs' effectiveness. The study also highlights that the effectiveness of QECs is “Good” in only two of the 12 universities, while in most universities it is “Barely Acceptable”. Furthermore, QECs' effectiveness is slightly better in public universities compared to private institutions.

The study employs convenience sampling and a cross-sectional approach, focusing on faculty members from 12 universities, primarily in Punjab, Pakistan. To enhance future research, larger samples and probability-based sampling should be considered, while involving quality managers and students for a broader perspective.

The research suggests policymakers and university leaders should strengthen their support by providing resources, quality infrastructure and training for academic and administrative staff. This would enhance the effectiveness of QECs and improve the overall quality of education in both public and private universities.

This study contributes to the literature on quality assurance in higher education by emphasizing the significance of QECs concerning management support, quality infrastructure and staff training – areas that are often overlooked in Pakistani universities.

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Optimizing quality enhancement cells in higher education institutions: analyzing management support, quality infrastructure and staff training10.1108/IJQRM-01-2021-0007International Journal of Quality & Reliability Management2024-01-09© 2023 Emerald Publishing LimitedShahzaf IqbalKamran MoosaChe Azlan Bin TaibInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-01-0910.1108/IJQRM-01-2021-0007https://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2021-0007/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Competitive priorities and engagement: can they be a source of satisfaction? Customer-centered modelhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0001/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate and test the impact of competitive priorities, in terms of quality, speed, dependability, flexibility, cost and patient engagement, on patient satisfaction with healthcare services. It considers patients’ rather than managers’ points of view to collect responses about competitive priorities. This research employed a cross-sectional survey design to analyze a sample of customers through an empirical study of 488 patients in Qatar’s healthcare service context. The confirmatory factor analysis results show that competitive priorities and engagement positively and significantly impact patient satisfaction. Researchers can use this methodology to explore the role of competitive priorities in different service contexts and sectors. The researchers conducted the study in Qatar; therefore, the results are not generalizable to all healthcare sectors. However, regardless of geographic location, the research approach can be used in healthcare. Managers can employ the developed scales to diagnose competitive priorities and improve customer service experiences. The paper is original as it suggests using competitive priorities as a measurement tool for predicting patient satisfaction compared to prior research that mostly measured competitive priorities based on internal perspectives (managers’ perspectives). Further, this paper is original because it depends on the external perspective (customers’ perspective) for the competitive priorities for measuring patient satisfaction.Competitive priorities and engagement: can they be a source of satisfaction? Customer-centered model
Abdulkareem Salameh Awwad, Abdel Latef Anouze, Elizabeth A. Cudney
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to investigate and test the impact of competitive priorities, in terms of quality, speed, dependability, flexibility, cost and patient engagement, on patient satisfaction with healthcare services. It considers patients’ rather than managers’ points of view to collect responses about competitive priorities.

This research employed a cross-sectional survey design to analyze a sample of customers through an empirical study of 488 patients in Qatar’s healthcare service context.

The confirmatory factor analysis results show that competitive priorities and engagement positively and significantly impact patient satisfaction.

Researchers can use this methodology to explore the role of competitive priorities in different service contexts and sectors. The researchers conducted the study in Qatar; therefore, the results are not generalizable to all healthcare sectors. However, regardless of geographic location, the research approach can be used in healthcare.

Managers can employ the developed scales to diagnose competitive priorities and improve customer service experiences.

The paper is original as it suggests using competitive priorities as a measurement tool for predicting patient satisfaction compared to prior research that mostly measured competitive priorities based on internal perspectives (managers’ perspectives). Further, this paper is original because it depends on the external perspective (customers’ perspective) for the competitive priorities for measuring patient satisfaction.

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Competitive priorities and engagement: can they be a source of satisfaction? Customer-centered model10.1108/IJQRM-01-2023-0001International Journal of Quality & Reliability Management2023-12-05© 2023 Emerald Publishing LimitedAbdulkareem Salameh AwwadAbdel Latef AnouzeElizabeth A. CudneyInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-12-0510.1108/IJQRM-01-2023-0001https://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0001/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Essential building blocks for future blended learning with the right amount of blendhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0008/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to shed light on how the composition of future blended learning (BL) courses can be changed to provide students with quality academic learning experiences. The model suggested in this study will guide instructors on how to design their course learning outcomes to ensure effective delivery. The new model has been developed by combining Bloom's taxonomy and Carman's model. Later, a new framework entitled “PATHCO” based on an extensive literature review is applied to enhance the quality of all five components of Carman's model. The PATHCO conceptual framework has been developed to ensure quality in the five main teaching and learning factors. This framework covers criteria like pedagogical, assessments, technical, health care and organizational. Further research is required to broaden the main elements of the suggested framework and to validate this research through a case study. The COVID-19 pandemic has transformed the landscape of the education sector by encouraging an extensive acceptance of technology-enhanced learning and teaching. Blended learning (BL) has become the most appropriate medium to deliver online learning (OL). However, educators and students have reported dissatisfaction with the BL mode of delivery. To address this dissatisfaction, this study outlines, using the PATHCO model, all the essential building blocks which are required to find the right blend of both face-to-face and online components.Essential building blocks for future blended learning with the right amount of blend
Vandana Savara, Yousef Assaf, Mustafa Hariri, Haya Bassam Alastal, Rania Asad
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to shed light on how the composition of future blended learning (BL) courses can be changed to provide students with quality academic learning experiences. The model suggested in this study will guide instructors on how to design their course learning outcomes to ensure effective delivery.

The new model has been developed by combining Bloom's taxonomy and Carman's model. Later, a new framework entitled “PATHCO” based on an extensive literature review is applied to enhance the quality of all five components of Carman's model.

The PATHCO conceptual framework has been developed to ensure quality in the five main teaching and learning factors. This framework covers criteria like pedagogical, assessments, technical, health care and organizational. Further research is required to broaden the main elements of the suggested framework and to validate this research through a case study.

The COVID-19 pandemic has transformed the landscape of the education sector by encouraging an extensive acceptance of technology-enhanced learning and teaching. Blended learning (BL) has become the most appropriate medium to deliver online learning (OL). However, educators and students have reported dissatisfaction with the BL mode of delivery. To address this dissatisfaction, this study outlines, using the PATHCO model, all the essential building blocks which are required to find the right blend of both face-to-face and online components.

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Essential building blocks for future blended learning with the right amount of blend10.1108/IJQRM-01-2023-0008International Journal of Quality & Reliability Management2023-12-04© 2023 Emerald Publishing LimitedVandana SavaraYousef AssafMustafa HaririHaya Bassam AlastalRania AsadInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-12-0410.1108/IJQRM-01-2023-0008https://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0008/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A rule-based machine learning methodology for the proactive improvement of OEE: a real case studyhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0012/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe Overall Equipment Effectiveness (OEE) is considered a standard for measuring equipment productivity in terms of efficiency. Still, Artificial Intelligence solutions are rarely used for analyzing OEE results and identifying corrective actions. Therefore, the approach proposed in this paper aims to provide a new rule-based Machine Learning (ML) framework for OEE enhancement and the selection of improvement actions. Association Rules (ARs) are used as a rule-based ML method for extracting knowledge from huge data. First, the dominant loss class is identified and traditional methodologies are used with ARs for anomaly classification and prioritization. Once selected priority anomalies, a detailed analysis is conducted to investigate their influence on the OEE loss factors using ARs and Network Analysis (NA). Then, a Deming Cycle is used as a roadmap for applying the proposed methodology, testing and implementing proactive actions by monitoring the OEE variation. The method proposed in this work has also been tested in an automotive company for framework validation and impact measuring. In particular, results highlighted that the rule-based ML methodology for OEE improvement addressed seven anomalies within a year through appropriate proactive actions: on average, each action has ensured an OEE gain of 5.4%. The originality is related to the dual application of association rules in two different ways for extracting knowledge from the overall OEE. In particular, the co-occurrences of priority anomalies and their impact on asset Availability, Performance and Quality are investigated.A rule-based machine learning methodology for the proactive improvement of OEE: a real case study
Laura Lucantoni, Sara Antomarioni, Filippo Emanuele Ciarapica, Maurizio Bevilacqua
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The Overall Equipment Effectiveness (OEE) is considered a standard for measuring equipment productivity in terms of efficiency. Still, Artificial Intelligence solutions are rarely used for analyzing OEE results and identifying corrective actions. Therefore, the approach proposed in this paper aims to provide a new rule-based Machine Learning (ML) framework for OEE enhancement and the selection of improvement actions.

Association Rules (ARs) are used as a rule-based ML method for extracting knowledge from huge data. First, the dominant loss class is identified and traditional methodologies are used with ARs for anomaly classification and prioritization. Once selected priority anomalies, a detailed analysis is conducted to investigate their influence on the OEE loss factors using ARs and Network Analysis (NA). Then, a Deming Cycle is used as a roadmap for applying the proposed methodology, testing and implementing proactive actions by monitoring the OEE variation.

The method proposed in this work has also been tested in an automotive company for framework validation and impact measuring. In particular, results highlighted that the rule-based ML methodology for OEE improvement addressed seven anomalies within a year through appropriate proactive actions: on average, each action has ensured an OEE gain of 5.4%.

The originality is related to the dual application of association rules in two different ways for extracting knowledge from the overall OEE. In particular, the co-occurrences of priority anomalies and their impact on asset Availability, Performance and Quality are investigated.

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A rule-based machine learning methodology for the proactive improvement of OEE: a real case study10.1108/IJQRM-01-2023-0012International Journal of Quality & Reliability Management2023-12-12© 2023 Laura Lucantoni, Sara Antomarioni, Filippo Emanuele Ciarapica and Maurizio BevilacquaLaura LucantoniSara AntomarioniFilippo Emanuele CiarapicaMaurizio BevilacquaInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-12-1210.1108/IJQRM-01-2023-0012https://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0012/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Laura Lucantoni, Sara Antomarioni, Filippo Emanuele Ciarapica and Maurizio Bevilacquahttp://creativecommons.org/licences/by/4.0/legalcode
Governance mechanism to improve sustainability report quality: the impact on information risk and stock market participationhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0017/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to examine the effect of sustainability report quality (SRQ) on information risk. This research also aims to examine the effect of SRQ on stock market participation through information risk. The research sample includes 120 firm-years listed on the Sri Kehati Index period of 2017–2021. The hypothesis test uses firm and industry effect regression analysis. SRQ is measured by the existence of a sustainability committee and external assurance. The information risk is measured by bid-ask spread. Stock market participation is measured by volume of stock trading. Based on the data analysis, this investigation finds that SRQ reduces information risk. This research also finds that SRQ improves stock market participation by reducing information risk. First, this examination gives new evidence of SRQ to promote information environment improvement. Second, this examination contributes to providing the role of SRQ in an emerging market, such as Indonesia. Third, this examination contributes to providing the evaluation standard for sustainability reporting quality in Indonesia, since Indonesia has no specific standard for the sustainability report. Fourth, this examination contributes to filling the previous gap.Governance mechanism to improve sustainability report quality: the impact on information risk and stock market participation
Dormauli Justina, I Wayan Nuka Lantara
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to examine the effect of sustainability report quality (SRQ) on information risk. This research also aims to examine the effect of SRQ on stock market participation through information risk.

The research sample includes 120 firm-years listed on the Sri Kehati Index period of 2017–2021. The hypothesis test uses firm and industry effect regression analysis. SRQ is measured by the existence of a sustainability committee and external assurance. The information risk is measured by bid-ask spread. Stock market participation is measured by volume of stock trading.

Based on the data analysis, this investigation finds that SRQ reduces information risk. This research also finds that SRQ improves stock market participation by reducing information risk.

First, this examination gives new evidence of SRQ to promote information environment improvement. Second, this examination contributes to providing the role of SRQ in an emerging market, such as Indonesia. Third, this examination contributes to providing the evaluation standard for sustainability reporting quality in Indonesia, since Indonesia has no specific standard for the sustainability report. Fourth, this examination contributes to filling the previous gap.

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Governance mechanism to improve sustainability report quality: the impact on information risk and stock market participation10.1108/IJQRM-01-2023-0017International Journal of Quality & Reliability Management2023-12-04© 2023 Emerald Publishing LimitedDormauli JustinaI Wayan Nuka LantaraInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-12-0410.1108/IJQRM-01-2023-0017https://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0017/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Modelling the barriers to blockchain implementation in human resource functionhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0018/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe aim of this paper is to explore and analyse the challenges in effective implementation of blockchain by human resource management (HRM) functions. This paper also aims to assess the interplay between the barriers in causing the challenges during blockchain execution. Ten barriers are discovered from the past studies. Based on the expert views on the identified barriers interpretive structural modelling (ISM) is administered to understand the interplay of these 10 challenges resulting in ineffective or non-implementation of HR blockchain. The application of ISM has helped in categorizing the variables into strategic, operational and performance outcomes. Results of ISM indicate key barriers like lack of expertise, data privacy, technical infeasibility, complexity in implantation and lack of used cases. The research is limited to 10 barriers. There can be other barriers that can also be studied. Second, the research is proposing a conceptual model that needs further validation. This paper has significant implications for the theoretical and practical body of knowledge. So far, most studies are exploring and describing HRM from a digital perspective. Most HR studies are on artificial intelligence, the Internet of Things and smart HRM. Previous studies on blockchain for HRM are mostly describing the advantages of going for it. Based on the findings, it can also be suggested that policy formulators must advance the technical regulatory framework. Blockchain technology can be effectively implemented only if the top management is committed to it because they can only frame the rules and right control framework, affirm the governance process and strategize improvement. The study offers insights into the organization's decision makers for effectively implementing blockchain into their HR systems. Some specific recommendations based on the results are also made. The paper is an innovative attempt to analyse the barriers to HR blockchain.Modelling the barriers to blockchain implementation in human resource function
Alpana Agarwal, Komal Kapoor, Sandeep Walia
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The aim of this paper is to explore and analyse the challenges in effective implementation of blockchain by human resource management (HRM) functions. This paper also aims to assess the interplay between the barriers in causing the challenges during blockchain execution.

Ten barriers are discovered from the past studies. Based on the expert views on the identified barriers interpretive structural modelling (ISM) is administered to understand the interplay of these 10 challenges resulting in ineffective or non-implementation of HR blockchain.

The application of ISM has helped in categorizing the variables into strategic, operational and performance outcomes. Results of ISM indicate key barriers like lack of expertise, data privacy, technical infeasibility, complexity in implantation and lack of used cases.

The research is limited to 10 barriers. There can be other barriers that can also be studied. Second, the research is proposing a conceptual model that needs further validation.

This paper has significant implications for the theoretical and practical body of knowledge. So far, most studies are exploring and describing HRM from a digital perspective. Most HR studies are on artificial intelligence, the Internet of Things and smart HRM. Previous studies on blockchain for HRM are mostly describing the advantages of going for it.

Based on the findings, it can also be suggested that policy formulators must advance the technical regulatory framework. Blockchain technology can be effectively implemented only if the top management is committed to it because they can only frame the rules and right control framework, affirm the governance process and strategize improvement.

The study offers insights into the organization's decision makers for effectively implementing blockchain into their HR systems. Some specific recommendations based on the results are also made. The paper is an innovative attempt to analyse the barriers to HR blockchain.

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Modelling the barriers to blockchain implementation in human resource function10.1108/IJQRM-01-2023-0018International Journal of Quality & Reliability Management2023-08-11© 2023 Emerald Publishing LimitedAlpana AgarwalKomal KapoorSandeep WaliaInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-08-1110.1108/IJQRM-01-2023-0018https://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2023-0018/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Global perspectives on operational excellence: unveiling critical failure factors and sustainable pathwayshttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2024-0013/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this global study is to investigate the critical failure factors (CFFs) in the deployment of operational excellence (OPEX) programs as well as the key performance indicators (KPIs) that can be used to measure OPEX failures. The study also empirically analyzes various OPEX methodologies adopted by various organizations at a global level. This global study utilized an online survey to collect data. The questionnaire was sent to 800 senior managers, resulting in 249 useful responses. The study results suggest that Six Sigma is the most widely utilized across the OPEX methodologies, followed by Lean Six Sigma and Lean. Agile manufacturing is the least utilized OPEX methodology. The top four CFFs were poor project selection and prioritization, poor leadership, a lack of proper communication and resistance to change issues. This study extends the current body of knowledge on OPEX by first delineating the CFFs for OPEX and identifying the differing effects of these CFFs across various organizational settings. Senior managers and OPEX professionals can use the findings to take remedial actions and improve the sustainability of OPEX initiatives in their respective organizations. This study uniquely identifies critical factors leading to OPEX initiative failures, providing practical insights for industry professionals and academia and fostering a deeper understanding of potential pitfalls. The research highlights a distinctive focus on social and environmental performance metrics, urging a paradigm shift for sustained OPEX success and differentiating itself in addressing broader sustainability concerns. By recognizing the interconnectedness of 12 CFFs, the study offers a pioneering foundation for future research and the development of a comprehensive management theory on OPEX failures.Global perspectives on operational excellence: unveiling critical failure factors and sustainable pathways
Jiju Antony, Michael Sony, Raja Jayaraman, Vikas Swarnakar, Guilherme da Luz Tortorella, Jose Arturo Garza-Reyes, Rajeev Rathi, Leopoldo Gutierrez, Olivia McDermott, Bart Alex Lameijer
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this global study is to investigate the critical failure factors (CFFs) in the deployment of operational excellence (OPEX) programs as well as the key performance indicators (KPIs) that can be used to measure OPEX failures. The study also empirically analyzes various OPEX methodologies adopted by various organizations at a global level.

This global study utilized an online survey to collect data. The questionnaire was sent to 800 senior managers, resulting in 249 useful responses.

The study results suggest that Six Sigma is the most widely utilized across the OPEX methodologies, followed by Lean Six Sigma and Lean. Agile manufacturing is the least utilized OPEX methodology. The top four CFFs were poor project selection and prioritization, poor leadership, a lack of proper communication and resistance to change issues.

This study extends the current body of knowledge on OPEX by first delineating the CFFs for OPEX and identifying the differing effects of these CFFs across various organizational settings. Senior managers and OPEX professionals can use the findings to take remedial actions and improve the sustainability of OPEX initiatives in their respective organizations.

This study uniquely identifies critical factors leading to OPEX initiative failures, providing practical insights for industry professionals and academia and fostering a deeper understanding of potential pitfalls. The research highlights a distinctive focus on social and environmental performance metrics, urging a paradigm shift for sustained OPEX success and differentiating itself in addressing broader sustainability concerns. By recognizing the interconnectedness of 12 CFFs, the study offers a pioneering foundation for future research and the development of a comprehensive management theory on OPEX failures.

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Global perspectives on operational excellence: unveiling critical failure factors and sustainable pathways10.1108/IJQRM-01-2024-0013International Journal of Quality & Reliability Management2024-03-14© 2024 Emerald Publishing LimitedJiju AntonyMichael SonyRaja JayaramanVikas SwarnakarGuilherme da Luz TortorellaJose Arturo Garza-ReyesRajeev RathiLeopoldo GutierrezOlivia McDermottBart Alex LameijerInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-1410.1108/IJQRM-01-2024-0013https://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2024-0013/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Evaluating the impact of COVID-19 mitigation measures on quality assurance of cross-border construction logistics and supply chainhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2024-0024/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWhile COVID-19 mitigation measures (CMMs) aided in steady recovery during the pandemic, they also impeded movement across economies/borders, affecting quality assurance (QA) of Cross-border Construction Logistics and Supply Chain (Cb-CLSC). However, prior studies on the pandemic in the construction project industry have not revealed how CMMs have impacted QA. Thus, this study aims to evaluate the impact of the CMMs on the QA of Cb-CLSC. This is achieved by adopting an embedded mixed-method approach involving a desk literature review and engaging 150 experts from different economies across the globe using expert surveys, and results verified via semi-structured expert interviews. Structural equation modelling-based multiple regression analysis (SEM-MRA) was integrated to examine the impact of the CMMs on the QA, along with descriptive and content analysis. The study confirmed that CMMs have not only impacted the QA negatively but also influenced the positioning of the QA for the post-pandemic era and probably to survive the risks of future pandemics. Among all the identified CMMs, the top three critical measures include “lockdown (CMM2)”, “use of personal protective equipment, such as nose masks, disinfects, etc. (CMM5)”, and “electronic/virtual meetings (CMM7)”. However, CMM5 possesses the highest contributory power to form CMM in impacting the QA, and this can be regarded as largely positive by strengthening health and safety management systems. Its negative impact lies with the project cost increment and the inconveniences of using nose and face masks. This study provides a better understanding to construction practitioners and policy makers on how the pandemic policies, i.e. CMMs, have impacted QA and can aid in formulating planning and operational decisions to adequately position the QA for the post-pandemic era and to endure the risks of future pandemics. The study contributes to knowledge in that it provides a better understanding of how the pandemic policies, such as CMMs, have impacted QA and can aid in formulating planning and operational decisions to adequately position the QA for the post-pandemic era and to endure the risks of future pandemics. This area of study has been given limited attention among prior studies during the pandemic.Evaluating the impact of COVID-19 mitigation measures on quality assurance of cross-border construction logistics and supply chain
Frank Ato Ghansah, Weisheng Lu
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

While COVID-19 mitigation measures (CMMs) aided in steady recovery during the pandemic, they also impeded movement across economies/borders, affecting quality assurance (QA) of Cross-border Construction Logistics and Supply Chain (Cb-CLSC). However, prior studies on the pandemic in the construction project industry have not revealed how CMMs have impacted QA. Thus, this study aims to evaluate the impact of the CMMs on the QA of Cb-CLSC.

This is achieved by adopting an embedded mixed-method approach involving a desk literature review and engaging 150 experts from different economies across the globe using expert surveys, and results verified via semi-structured expert interviews. Structural equation modelling-based multiple regression analysis (SEM-MRA) was integrated to examine the impact of the CMMs on the QA, along with descriptive and content analysis.

The study confirmed that CMMs have not only impacted the QA negatively but also influenced the positioning of the QA for the post-pandemic era and probably to survive the risks of future pandemics. Among all the identified CMMs, the top three critical measures include “lockdown (CMM2)”, “use of personal protective equipment, such as nose masks, disinfects, etc. (CMM5)”, and “electronic/virtual meetings (CMM7)”. However, CMM5 possesses the highest contributory power to form CMM in impacting the QA, and this can be regarded as largely positive by strengthening health and safety management systems. Its negative impact lies with the project cost increment and the inconveniences of using nose and face masks.

This study provides a better understanding to construction practitioners and policy makers on how the pandemic policies, i.e. CMMs, have impacted QA and can aid in formulating planning and operational decisions to adequately position the QA for the post-pandemic era and to endure the risks of future pandemics.

The study contributes to knowledge in that it provides a better understanding of how the pandemic policies, such as CMMs, have impacted QA and can aid in formulating planning and operational decisions to adequately position the QA for the post-pandemic era and to endure the risks of future pandemics. This area of study has been given limited attention among prior studies during the pandemic.

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Evaluating the impact of COVID-19 mitigation measures on quality assurance of cross-border construction logistics and supply chain10.1108/IJQRM-01-2024-0024International Journal of Quality & Reliability Management2024-03-26© 2024 Emerald Publishing LimitedFrank Ato GhansahWeisheng LuInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-2610.1108/IJQRM-01-2024-0024https://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2024-0024/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Theory of constraints in healthcare: a systematic literature reviewhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2022-0056/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTheory of Constraints (TOC), though a well-established process improvement methodology in manufacturing, is still a novel philosophy for healthcare and an exhaustive review of literature is needed to summarize the key findings of various researchers. Such a review can provide a direction to the researchers and academicians interested in exploring the application of TOC in the healthcare sector. This paper aims to review the existing literature of TOC tools and techniques applied to the healthcare environment, and to investigate motivating factors, benefits and key gaps for identifying directions for future research in the domain of healthcare. In this paper, different electronic repositories were searched using multiple keywords. The current study identified 36 articles published between January 1999 to mid-2021 to conceptualize and summarize the research questions used in the study. Descriptive analysis along with pictorial representations have been used for better visualization of work. This paper presents a thorough literature review of TOC in healthcare and identifies the evolution, current trends, tools used, nature of services chosen for application and research gaps and recommends future direction for research. A variety of motivating factors and benefits of TOC in healthcare are identified. Another key finding of this study is that almost all implementations listed in literature reported positive outcomes and substantial improvements in the performance of the healthcare unit chosen for study. This paper provides valuable insight to researchers, practitioners and policymakers on the potential of TOC to improve quality of services, flow of patients, revenues, process efficiency and cost reduction in different health care settings. A number of findings and suggestions compiled in the paper from literature study can be used for diagnosing, learning and making substantial changes in healthcare. The methodologies used by different researchers were analysed and combined to propose a generic step by step procedure to apply TOC. This methodology will guide the practising managers about the appropriate tools of TOC for their specific need. Good health is always the first desire of all men and women around the globe. The global aim of healthcare is to quickly cure more patients and ensure healthier population both today and in future. This article will work as a foundation for future applications of TOC in healthcare and guide upcoming applications in the booming healthcare sector. The paper will help the healthcare managers in serving a greater number of patients with limited available resources. This paper provides original collaborative work compiled by the authors. Since no comprehensive systematic review of TOC in healthcare has been reported earlier, this study would be a valuable asset for researchers in this field. A model has been presented that links various benefits with one another and clarifies the need to focus on process improvement which naturally results in these benefits. Similarly, a model has been presented to guide the users in implementation of TOC in healthcare.Theory of constraints in healthcare: a systematic literature review
Mohit Datt, Ajay Gupta, Sushendra Kumar Misra, Mahesh Gupta
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Theory of Constraints (TOC), though a well-established process improvement methodology in manufacturing, is still a novel philosophy for healthcare and an exhaustive review of literature is needed to summarize the key findings of various researchers. Such a review can provide a direction to the researchers and academicians interested in exploring the application of TOC in the healthcare sector. This paper aims to review the existing literature of TOC tools and techniques applied to the healthcare environment, and to investigate motivating factors, benefits and key gaps for identifying directions for future research in the domain of healthcare.

In this paper, different electronic repositories were searched using multiple keywords. The current study identified 36 articles published between January 1999 to mid-2021 to conceptualize and summarize the research questions used in the study. Descriptive analysis along with pictorial representations have been used for better visualization of work.

This paper presents a thorough literature review of TOC in healthcare and identifies the evolution, current trends, tools used, nature of services chosen for application and research gaps and recommends future direction for research. A variety of motivating factors and benefits of TOC in healthcare are identified. Another key finding of this study is that almost all implementations listed in literature reported positive outcomes and substantial improvements in the performance of the healthcare unit chosen for study.

This paper provides valuable insight to researchers, practitioners and policymakers on the potential of TOC to improve quality of services, flow of patients, revenues, process efficiency and cost reduction in different health care settings. A number of findings and suggestions compiled in the paper from literature study can be used for diagnosing, learning and making substantial changes in healthcare. The methodologies used by different researchers were analysed and combined to propose a generic step by step procedure to apply TOC. This methodology will guide the practising managers about the appropriate tools of TOC for their specific need.

Good health is always the first desire of all men and women around the globe. The global aim of healthcare is to quickly cure more patients and ensure healthier population both today and in future. This article will work as a foundation for future applications of TOC in healthcare and guide upcoming applications in the booming healthcare sector. The paper will help the healthcare managers in serving a greater number of patients with limited available resources.

This paper provides original collaborative work compiled by the authors. Since no comprehensive systematic review of TOC in healthcare has been reported earlier, this study would be a valuable asset for researchers in this field. A model has been presented that links various benefits with one another and clarifies the need to focus on process improvement which naturally results in these benefits. Similarly, a model has been presented to guide the users in implementation of TOC in healthcare.

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Theory of constraints in healthcare: a systematic literature review10.1108/IJQRM-02-2022-0056International Journal of Quality & Reliability Management2024-02-26© 2024 Emerald Publishing LimitedMohit DattAjay GuptaSushendra Kumar MisraMahesh GuptaInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-2610.1108/IJQRM-02-2022-0056https://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2022-0056/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
A bibliometric and content analysis discourse on business application of blockchain technologyhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0025/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe article aims to provide a bibliometric and content analysis of the business application of blockchain technology. Bibliometric analysis and content analysis were undertaken to accomplish the stated objectives of the study. The results revealed publication and country collaboration trends, declining, emerging, and niche research areas, the topmost influential articles, authors, and most relevant journals. As researchers have been myopic towards some mainstream research agendas studying the specific contexts of blockchain applications, this research believes a holistic approach to understanding blockchain technology's versatility to disrupt different business processes across a myriad of industries is lacking. In addition, to strengthen the research's conclusions, a content analysis of the most significant articles is conducted as part of the study.A bibliometric and content analysis discourse on business application of blockchain technology
Ajay Chandel, Neeraj Bhanot, Rahul Sharma
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The article aims to provide a bibliometric and content analysis of the business application of blockchain technology.

Bibliometric analysis and content analysis were undertaken to accomplish the stated objectives of the study.

The results revealed publication and country collaboration trends, declining, emerging, and niche research areas, the topmost influential articles, authors, and most relevant journals.

As researchers have been myopic towards some mainstream research agendas studying the specific contexts of blockchain applications, this research believes a holistic approach to understanding blockchain technology's versatility to disrupt different business processes across a myriad of industries is lacking. In addition, to strengthen the research's conclusions, a content analysis of the most significant articles is conducted as part of the study.

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A bibliometric and content analysis discourse on business application of blockchain technology10.1108/IJQRM-02-2023-0025International Journal of Quality & Reliability Management2023-08-22© 2023 Emerald Publishing LimitedAjay ChandelNeeraj BhanotRahul SharmaInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-08-2210.1108/IJQRM-02-2023-0025https://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0025/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A comparative study on sustainability standards with specific reference to GRI standards and BRSR frameworkhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0028/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe main objective of the study was to compare Business Responsibility and Sustainability Report (BRSR) norms with Global Reporting Initiative (GRI) standards, so as to establish whether BRSR norms match the global standards and best practices or not. Additionally, an effort was made to ascertain and highlight areas where BRSR norms are more comprehensive, just match, or require further refinement to be at par with the GRI standards. The study highlights the similarities and dissimilarities between the internationally accepted GRI standards and the BRSR framework; thereby suggesting areas of improvement for the BRSR framework. Scrutinised all the 36 standards of the Global reporting initiative and BRSR format and guidelines of the Securities Exchange Board of India. The Content Analysis Technique was used to ascertain the percentages of similarities between the two frameworks. The content analysis found that there are 52.30% similarities between BRSR norms and GRI standards. Further, this study shows the factors that led to the dissimilarities between BRSR and GRI standards. This study found 18 areas where BRSR is more informative than GRI, and 7 areas where BRSR could be further refined. This study contributes to research in the sustainability reporting framework to be adopted by Indian listed companies. There are a few Indian listed companies who are already reporting as per the GRI framework and might perceive the BRSR as a separate reporting altogether. But as found in this study, more than half of the BRSR framework is similar to the GRI framework; thus, half the work is almost done. As such this study helps Indian firms in developing an understanding of the BRSR and puts in perspective its standing among global sustainability reporting standards. This study shall help institutional investors, rating agencies, and external assurers to better visualize an Indian entity, by referring to its Business Responsibility and Sustainability Reporting.A comparative study on sustainability standards with specific reference to GRI standards and BRSR framework
Naresh Nial, Pranay Parashar
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The main objective of the study was to compare Business Responsibility and Sustainability Report (BRSR) norms with Global Reporting Initiative (GRI) standards, so as to establish whether BRSR norms match the global standards and best practices or not. Additionally, an effort was made to ascertain and highlight areas where BRSR norms are more comprehensive, just match, or require further refinement to be at par with the GRI standards. The study highlights the similarities and dissimilarities between the internationally accepted GRI standards and the BRSR framework; thereby suggesting areas of improvement for the BRSR framework.

Scrutinised all the 36 standards of the Global reporting initiative and BRSR format and guidelines of the Securities Exchange Board of India. The Content Analysis Technique was used to ascertain the percentages of similarities between the two frameworks.

The content analysis found that there are 52.30% similarities between BRSR norms and GRI standards. Further, this study shows the factors that led to the dissimilarities between BRSR and GRI standards. This study found 18 areas where BRSR is more informative than GRI, and 7 areas where BRSR could be further refined.

This study contributes to research in the sustainability reporting framework to be adopted by Indian listed companies. There are a few Indian listed companies who are already reporting as per the GRI framework and might perceive the BRSR as a separate reporting altogether. But as found in this study, more than half of the BRSR framework is similar to the GRI framework; thus, half the work is almost done. As such this study helps Indian firms in developing an understanding of the BRSR and puts in perspective its standing among global sustainability reporting standards. This study shall help institutional investors, rating agencies, and external assurers to better visualize an Indian entity, by referring to its Business Responsibility and Sustainability Reporting.

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A comparative study on sustainability standards with specific reference to GRI standards and BRSR framework10.1108/IJQRM-02-2023-0028International Journal of Quality & Reliability Management2024-02-12© 2024 Emerald Publishing LimitedNaresh NialPranay ParasharInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-1210.1108/IJQRM-02-2023-0028https://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0028/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The role of quality management systems in fostering the international competitiveness of companieshttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0040/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThere is a strong consensus among scholars that the international competitiveness of companies strongly depends on the support of institutions, which reduces uncertainty in transactions by giving form to economic interactions, while less attention was paid to the role of international standards within this context. This study intends to propose its contribution by deepening the role of process certifications in the competitiveness and internationalization strategies of companies, with specific reference to the wood-furniture sector. Data were collected using a questionnaire survey distributed via computer-assisted web interviewing (CAWI) methodology and sent to a sample of 2,845 Italian companies which operate in the wood-furniture industry, using simple random sampling. Thanks to the survey administration, 228 companies participated to the survey. The study shows that it is companies operating in international markets that define this tool as relevant; this underlines how certification is seen as a kind of business card for entering international markets. In this context, the role of business leadership emerges as fundamental in the practical definition of the objectives to be set by adopting a quality management systems and in the subsequent commitment to obtain them. Up to now, the literature has taken these elements into analysis mainly considering the consumers' perspective. In sectors with a higher content of innovation, technology and design, such as the wood-furniture sector, the literature appears to be poor in terms of contributions.The role of quality management systems in fostering the international competitiveness of companies
Federica Murmura, Fabio Musso, Laura Bravi, Giada Pierli
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

There is a strong consensus among scholars that the international competitiveness of companies strongly depends on the support of institutions, which reduces uncertainty in transactions by giving form to economic interactions, while less attention was paid to the role of international standards within this context. This study intends to propose its contribution by deepening the role of process certifications in the competitiveness and internationalization strategies of companies, with specific reference to the wood-furniture sector.

Data were collected using a questionnaire survey distributed via computer-assisted web interviewing (CAWI) methodology and sent to a sample of 2,845 Italian companies which operate in the wood-furniture industry, using simple random sampling. Thanks to the survey administration, 228 companies participated to the survey.

The study shows that it is companies operating in international markets that define this tool as relevant; this underlines how certification is seen as a kind of business card for entering international markets. In this context, the role of business leadership emerges as fundamental in the practical definition of the objectives to be set by adopting a quality management systems and in the subsequent commitment to obtain them.

Up to now, the literature has taken these elements into analysis mainly considering the consumers' perspective. In sectors with a higher content of innovation, technology and design, such as the wood-furniture sector, the literature appears to be poor in terms of contributions.

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The role of quality management systems in fostering the international competitiveness of companies10.1108/IJQRM-02-2023-0040International Journal of Quality & Reliability Management2023-12-18© 2023 Federica Murmura, Fabio Musso, Laura Bravi and Giada PierliFederica MurmuraFabio MussoLaura BraviGiada PierliInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-12-1810.1108/IJQRM-02-2023-0040https://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0040/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Federica Murmura, Fabio Musso, Laura Bravi and Giada Pierlihttp://creativecommons.org/licences/by/4.0/legalcode
Optimizing defect rework for a software start-up's schedule variation: a Six-Sigma-based approachhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0045/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestManaging project completion within the stipulated time is significant to all firms' sustainability. Especially for software start-up firms, it is of utmost importance. For any schedule variation, these firms must spend 25 to 40 percent of the development cost reworking quality defects. Significantly, the existing literature does not support defect rework opportunities under quality aspects among Indian IT start-ups. The present study aims to fill this niche by proposing a unique mathematical model of the defect rework aligned with the Six Sigma quality approach. An optimization model was formulated, comprising the two objectives: rework “time” and rework “cost.” A case study was developed in relevance, and for the model solution, we used MATLAB and an elitist, Nondominated Sorting Genetic Algorithm (NSGA-II). The output of the proposed approach reduced the “time” by 31 percent at a minimum “cost”. The derived “Pareto Optimal” front can be used to estimate the “cost” for a pre-determined rework “time” and vice versa, thus adding value to the existing literature. This work has deployed a decision tree for defect prediction, but it is often criticized for overfitting. This is one of the limitations of this paper. Apart from this, comparing the predicted defect count with other prediction models hasn’t been attempted. NSGA-II has been applied to solve the optimization problem; however, the optimal results obtained have yet to be compared with other algorithms. Further study is envisaged. The Pareto front provides an effective visual aid for managers to compare multiple strategies to decide the best possible rework “cost” and “time” for their projects. It is beneficial for cost-sensitive start-ups to estimate the rework “cost” and “time” to negotiate with their customers effectively. This paper proposes a novel quality management framework under the Six Sigma approach, which integrates optimization of critical metrics. As part of this study, a unique mathematical model of the software defect rework process was developed (combined with the proposed framework) to obtain the optimal solution for the perennial problem of schedule slippage in the rework process of software development.Optimizing defect rework for a software start-up's schedule variation: a Six-Sigma-based approach
Satyajit Mahato, Supriyo Roy
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Managing project completion within the stipulated time is significant to all firms' sustainability. Especially for software start-up firms, it is of utmost importance. For any schedule variation, these firms must spend 25 to 40 percent of the development cost reworking quality defects. Significantly, the existing literature does not support defect rework opportunities under quality aspects among Indian IT start-ups. The present study aims to fill this niche by proposing a unique mathematical model of the defect rework aligned with the Six Sigma quality approach.

An optimization model was formulated, comprising the two objectives: rework “time” and rework “cost.” A case study was developed in relevance, and for the model solution, we used MATLAB and an elitist, Nondominated Sorting Genetic Algorithm (NSGA-II).

The output of the proposed approach reduced the “time” by 31 percent at a minimum “cost”. The derived “Pareto Optimal” front can be used to estimate the “cost” for a pre-determined rework “time” and vice versa, thus adding value to the existing literature.

This work has deployed a decision tree for defect prediction, but it is often criticized for overfitting. This is one of the limitations of this paper. Apart from this, comparing the predicted defect count with other prediction models hasn’t been attempted. NSGA-II has been applied to solve the optimization problem; however, the optimal results obtained have yet to be compared with other algorithms. Further study is envisaged.

The Pareto front provides an effective visual aid for managers to compare multiple strategies to decide the best possible rework “cost” and “time” for their projects. It is beneficial for cost-sensitive start-ups to estimate the rework “cost” and “time” to negotiate with their customers effectively.

This paper proposes a novel quality management framework under the Six Sigma approach, which integrates optimization of critical metrics. As part of this study, a unique mathematical model of the software defect rework process was developed (combined with the proposed framework) to obtain the optimal solution for the perennial problem of schedule slippage in the rework process of software development.

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Optimizing defect rework for a software start-up's schedule variation: a Six-Sigma-based approach10.1108/IJQRM-02-2023-0045International Journal of Quality & Reliability Management2024-03-08© 2024 Emerald Publishing LimitedSatyajit MahatoSupriyo RoyInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-0810.1108/IJQRM-02-2023-0045https://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0045/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Time truncated attribute control chart for the generalized Rayleigh distributed quality characteristics and beyondhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0049/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestFirst is to develop the time truncated median control chart for the Rayleigh distribution (RD) and generalized RD (GRD), respectively. Second is to evaluate the performance of the proposed attribute control chart which depends on the average run length (ARL) and third is to include real life examples for application purpose of the proposed attribute control chart. (1) Select a random sample of size n from each subgroup from the production process and put them on a test for specified time t, where t = ? × µe. Then, count the numbers of failed items in each subgroup up to time t. (2) Step 2: Using np chart, define D = np, the number of failures, which also a random variable follows the Binomial distribution. It is better to use D = np chart rather than p chart because the authors are using number of failure rather than proportion of failure p. When the process is in control, then the parameters of the binomial distribution are n and p0, respectively. (3) Step 3: The process is said to be in control if LCL = D = UCL; otherwise, the process is said to be out of control. Hence, LCL and UCL for the proposed control chart. From the findings, it is concluded that the GRD has smaller ARL values than the RD for specified values of parameters, which indicate that GRD performing well for out of control signal as compared to the RD. This developed control chart is applicable when real life situation coincide with RD and GRD. Researcher can directly use presented study and save consumers from accepting bad lot and also encourage producers to make good quality products so that society can take benefit from their products. This article dealt with time truncated attribute median control chart for non-normal distributions, namely, the RD and GRD, respectively. The structure of the proposed control chart is developed based on median lifetime of the RD and GRD, respectively.Time truncated attribute control chart for the generalized Rayleigh distributed quality characteristics and beyond
Mahendra Saha, Pratibha Pareek, Harsh Tripathi, Anju Devi
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

First is to develop the time truncated median control chart for the Rayleigh distribution (RD) and generalized RD (GRD), respectively. Second is to evaluate the performance of the proposed attribute control chart which depends on the average run length (ARL) and third is to include real life examples for application purpose of the proposed attribute control chart.

(1) Select a random sample of size n from each subgroup from the production process and put them on a test for specified time t, where t = ? × µe. Then, count the numbers of failed items in each subgroup up to time t. (2) Step 2: Using np chart, define D = np, the number of failures, which also a random variable follows the Binomial distribution. It is better to use D = np chart rather than p chart because the authors are using number of failure rather than proportion of failure p. When the process is in control, then the parameters of the binomial distribution are n and p0, respectively. (3) Step 3: The process is said to be in control if LCL = D = UCL; otherwise, the process is said to be out of control. Hence, LCL and UCL for the proposed control chart.

From the findings, it is concluded that the GRD has smaller ARL values than the RD for specified values of parameters, which indicate that GRD performing well for out of control signal as compared to the RD.

This developed control chart is applicable when real life situation coincide with RD and GRD.

Researcher can directly use presented study and save consumers from accepting bad lot and also encourage producers to make good quality products so that society can take benefit from their products.

This article dealt with time truncated attribute median control chart for non-normal distributions, namely, the RD and GRD, respectively. The structure of the proposed control chart is developed based on median lifetime of the RD and GRD, respectively.

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Time truncated attribute control chart for the generalized Rayleigh distributed quality characteristics and beyond10.1108/IJQRM-02-2023-0049International Journal of Quality & Reliability Management2024-01-09© 2023 Emerald Publishing LimitedMahendra SahaPratibha PareekHarsh TripathiAnju DeviInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-01-0910.1108/IJQRM-02-2023-0049https://www.emerald.com/insight/content/doi/10.1108/IJQRM-02-2023-0049/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Identification and prioritization of the factors influencing blockchain adoption in the banking sector: integrating fuzzy AHP with TOE frameworkhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0079/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe objective of this research is to identify and prioritize the critical factors that influence the adoption of blockchain technology within the banking sector. A well-known theoretical framework, the “Technology Organization Environment (TOE),” was chosen to analyze what criteria and sub-criteria affect blockchain adoption in the banking sector after a thorough assessment of the prior literature. Following that, 3 evaluation criteria and 14 sub-criteria were selected and verified using expert opinion. A survey design was created, and data for the study has been collected from various information technology (IT) managers/officers in the banking sector. A fuzzy analytic hierarchy process (Fuzzy-AHP) was then used to meet the purpose of the research. The study identified that the organizational dimension is the most significant criteria for blockchain adoption in the banking sector, followed by the environmental dimension. In contrast, the technological dimension is the least influential criterion. Clientele pressure, IT resources, financial resources, pressure from competitors and relative advantage are the most influential sub-criteria for blockchain adoption. This study provides valuable insights to bank managers, blockchain and IT developers, third-party service providers and policymakers. For instance, adopting the same blockchain platform is easier for both large and small banks for banking operations by using third-party service provider. At the same time, banks should have the banks' own core team to implement the blockchain-based systems or to have control over the third-party service providers during the adoption stage. To the best of the authors' knowledge, no empirical studies have used a holistic organizational context to understand the factors influencing the adoption of blockchain technology from traditional to blockchain-based banking systems.Identification and prioritization of the factors influencing blockchain adoption in the banking sector: integrating fuzzy AHP with TOE framework
Tanveer Kajla, Kirti Sood, Sanjay Gupta, Sahil Raj, Harpreet Singh
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The objective of this research is to identify and prioritize the critical factors that influence the adoption of blockchain technology within the banking sector.

A well-known theoretical framework, the “Technology Organization Environment (TOE),” was chosen to analyze what criteria and sub-criteria affect blockchain adoption in the banking sector after a thorough assessment of the prior literature. Following that, 3 evaluation criteria and 14 sub-criteria were selected and verified using expert opinion. A survey design was created, and data for the study has been collected from various information technology (IT) managers/officers in the banking sector. A fuzzy analytic hierarchy process (Fuzzy-AHP) was then used to meet the purpose of the research.

The study identified that the organizational dimension is the most significant criteria for blockchain adoption in the banking sector, followed by the environmental dimension. In contrast, the technological dimension is the least influential criterion. Clientele pressure, IT resources, financial resources, pressure from competitors and relative advantage are the most influential sub-criteria for blockchain adoption.

This study provides valuable insights to bank managers, blockchain and IT developers, third-party service providers and policymakers. For instance, adopting the same blockchain platform is easier for both large and small banks for banking operations by using third-party service provider. At the same time, banks should have the banks' own core team to implement the blockchain-based systems or to have control over the third-party service providers during the adoption stage.

To the best of the authors' knowledge, no empirical studies have used a holistic organizational context to understand the factors influencing the adoption of blockchain technology from traditional to blockchain-based banking systems.

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Identification and prioritization of the factors influencing blockchain adoption in the banking sector: integrating fuzzy AHP with TOE framework10.1108/IJQRM-03-2023-0079International Journal of Quality & Reliability Management2023-08-24© 2023 Emerald Publishing LimitedTanveer KajlaKirti SoodSanjay GuptaSahil RajHarpreet SinghInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-08-2410.1108/IJQRM-03-2023-0079https://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0079/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Use and acceptance of crypto currencies in India: an evaluation of block chain application in financial sector using PLS SEM and ANN approachhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0093/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to create and evaluate a model for cryptocurrency adoption by investigating how age, education, and gender impact Behavioural Intention. A hybrid approach that combined partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) was used for the purpose. This study uses a multi-analytical hybrid approach, combining PLS-SEM and ANN to illustrate the impact of various identified variables on behavioral intention toward using cryptocurrency. Multi-group analysis (MGA) is applied to determine whether different data groups of age, gender and education have significant differences in the parameter estimates that are specific to each group. The findings indicate that Social Influence (SI) has the greatest impact on Behavioral Intention (BI), which suggests that the viewpoints and recommendations of influential and well-known individuals can serve as a motivating factor to invest in cryptocurrencies. Furthermore, education was found to be a moderating factor in the relationship found between behavioral intention and design. Prior studies on technology adoption have utilized superficial SEM and ANN methods, whereas a more effective outcome has been suggested by implementing a dual-stage PLS-SEM and ANN approach utilizing a deep neural network architecture. This methodology can enhance the accuracy of nonlinear connections in the model and augment the deep learning capacity. The research is based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) and expands upon this model by integrating elements of design and trust. This is an important addition, as design can influence individuals' willingness to try new technologies, while trust is a critical factor in determining whether individuals will adopt and use new technology. Cryptocurrencies are a relatively new phenomenon in India, and their use and adoption have grown significantly in recent years. However, this development has not been without controversy, as the implications of cryptocurrencies for society, the economy and governance remain uncertain. The results reveal that social influence is an important predictor for the adoption of cryptocurrency in India, and this can help financial institutions and regulators in making policy decisions accordingly. Given the emerging nature of cryptocurrency adoption in India, there is certainly a need for further empirical research in this area. The current study aims to address this research gap and achieve the following objectives: (a) to determine if a dual-stage PLS-SEM and ANN analysis utilizing deep learning techniques can yield more comprehensive research findings than a PLS-SEM approach and (b) to identify variables that can forecast the intention to adopt cryptocurrency.Use and acceptance of crypto currencies in India: an evaluation of block chain application in financial sector using PLS SEM and ANN approach
Niraj Mishra, Praveen Srivastava, Satyajit Mahato, Shradha Shivani
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to create and evaluate a model for cryptocurrency adoption by investigating how age, education, and gender impact Behavioural Intention. A hybrid approach that combined partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) was used for the purpose.

This study uses a multi-analytical hybrid approach, combining PLS-SEM and ANN to illustrate the impact of various identified variables on behavioral intention toward using cryptocurrency. Multi-group analysis (MGA) is applied to determine whether different data groups of age, gender and education have significant differences in the parameter estimates that are specific to each group.

The findings indicate that Social Influence (SI) has the greatest impact on Behavioral Intention (BI), which suggests that the viewpoints and recommendations of influential and well-known individuals can serve as a motivating factor to invest in cryptocurrencies. Furthermore, education was found to be a moderating factor in the relationship found between behavioral intention and design.

Prior studies on technology adoption have utilized superficial SEM and ANN methods, whereas a more effective outcome has been suggested by implementing a dual-stage PLS-SEM and ANN approach utilizing a deep neural network architecture. This methodology can enhance the accuracy of nonlinear connections in the model and augment the deep learning capacity.

The research is based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) and expands upon this model by integrating elements of design and trust. This is an important addition, as design can influence individuals' willingness to try new technologies, while trust is a critical factor in determining whether individuals will adopt and use new technology.

Cryptocurrencies are a relatively new phenomenon in India, and their use and adoption have grown significantly in recent years. However, this development has not been without controversy, as the implications of cryptocurrencies for society, the economy and governance remain uncertain. The results reveal that social influence is an important predictor for the adoption of cryptocurrency in India, and this can help financial institutions and regulators in making policy decisions accordingly.

Given the emerging nature of cryptocurrency adoption in India, there is certainly a need for further empirical research in this area. The current study aims to address this research gap and achieve the following objectives: (a) to determine if a dual-stage PLS-SEM and ANN analysis utilizing deep learning techniques can yield more comprehensive research findings than a PLS-SEM approach and (b) to identify variables that can forecast the intention to adopt cryptocurrency.

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Use and acceptance of crypto currencies in India: an evaluation of block chain application in financial sector using PLS SEM and ANN approach10.1108/IJQRM-03-2023-0093International Journal of Quality & Reliability Management2023-08-07© 2023 Emerald Publishing LimitedNiraj MishraPraveen SrivastavaSatyajit MahatoShradha ShivaniInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-08-0710.1108/IJQRM-03-2023-0093https://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0093/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Blockchain for data protection and cyber fraud reduction: systematic literature review and technology adoption dynamics among gen Y and Zhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0094/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to investigate the role of blockchain technology in reducing online fraud among Gen Y and Gen Z. This study uses a two-phase approach. Firstly, a systematic literature review is conducted to examine various aspects of blockchain technology and cyber security. Secondly, the Technology Adoption Model is used to study the adoption dynamics of blockchain-based platforms for online data exchange among 415 Gen Y and Z users. The results indicate that efficiency and security, perceived ease of use, perceived usefulness, and trust have a positive effect on behavioral intention and attitude towards use. This is the first study to examine the role of blockchain technology to reduce fraud among Gen Y and Gen Z. This study provides new insights into the adoption of blockchain-based platforms for online data exchange among Gen Y and Gen Z. The study highlights the critical areas of concern for the adoption of blockchain technology and provides managerial implications for fintech firms, banks, and e-commerce platforms. It is unique in its focus on the potential for blockchain technology to reduce fraud among Gen Y and Gen Z, which has not been previously explored in the literature.Blockchain for data protection and cyber fraud reduction: systematic literature review and technology adoption dynamics among gen Y and Z
Ankit Suri, Yogesh Sharma, Lokesh Jindal, Rajeev Sijariya
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to investigate the role of blockchain technology in reducing online fraud among Gen Y and Gen Z.

This study uses a two-phase approach. Firstly, a systematic literature review is conducted to examine various aspects of blockchain technology and cyber security. Secondly, the Technology Adoption Model is used to study the adoption dynamics of blockchain-based platforms for online data exchange among 415 Gen Y and Z users.

The results indicate that efficiency and security, perceived ease of use, perceived usefulness, and trust have a positive effect on behavioral intention and attitude towards use. This is the first study to examine the role of blockchain technology to reduce fraud among Gen Y and Gen Z.

This study provides new insights into the adoption of blockchain-based platforms for online data exchange among Gen Y and Gen Z. The study highlights the critical areas of concern for the adoption of blockchain technology and provides managerial implications for fintech firms, banks, and e-commerce platforms. It is unique in its focus on the potential for blockchain technology to reduce fraud among Gen Y and Gen Z, which has not been previously explored in the literature.

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Blockchain for data protection and cyber fraud reduction: systematic literature review and technology adoption dynamics among gen Y and Z10.1108/IJQRM-03-2023-0094International Journal of Quality & Reliability Management2024-02-22© 2024 Emerald Publishing LimitedAnkit SuriYogesh SharmaLokesh JindalRajeev SijariyaInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-2210.1108/IJQRM-03-2023-0094https://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0094/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
A solution approach proposal with a lean perspective for the poultry sector with WRM and BWM integrationhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0105/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to analyze lean wastes for the poultry sector in Turkey and link lean tools to this study, focusing on identifying each lean waste that affects poultry production and proposing solutions for preventing these lean wastes in the sector. The proposed solutions aim to improve processes by suggesting different lean tools and their applications for the poultry sector. The study consists of two different applications. First, the waste relationship matrix (WRM) was created to reveal the relationship between seven lean wastes and their importance order. Then, after determining lean tools for eliminating lean wastes, the optimum weight ranking and consistency ratio of the most suitable lean tools were calculated for these wastes and ranked with the best-worst method (BWM). Results showed that overproduction is the most critical waste that impacts other wastes, followed by defect waste. Due to the nature of the sector, these wastes not only result in economic loss for the company but also in food waste and loss and issues related to animal welfare. Furthermore, the Kaizen approach and 5S implementation are the methods to eliminate these wastes. Detailed discussion on the link between lean tools and lean wastes is provided for the poultry sector. This is the first study that theoretically and empirically identifies the potential lean waste affecting the poultry sector and provides lean tools for eliminating these wastes. Sector-specific explanations and discussions are presented in the study to show the applicability of lean approaches in the poultry sector to eliminate waste. In addition, this study is the first to integrate the WRM and BWM.A solution approach proposal with a lean perspective for the poultry sector with WRM and BWM integration
Elif Kiran, Yesim Deniz Ozkan-Ozen, Yucel Ozturkoglu
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to analyze lean wastes for the poultry sector in Turkey and link lean tools to this study, focusing on identifying each lean waste that affects poultry production and proposing solutions for preventing these lean wastes in the sector. The proposed solutions aim to improve processes by suggesting different lean tools and their applications for the poultry sector.

The study consists of two different applications. First, the waste relationship matrix (WRM) was created to reveal the relationship between seven lean wastes and their importance order. Then, after determining lean tools for eliminating lean wastes, the optimum weight ranking and consistency ratio of the most suitable lean tools were calculated for these wastes and ranked with the best-worst method (BWM).

Results showed that overproduction is the most critical waste that impacts other wastes, followed by defect waste. Due to the nature of the sector, these wastes not only result in economic loss for the company but also in food waste and loss and issues related to animal welfare. Furthermore, the Kaizen approach and 5S implementation are the methods to eliminate these wastes. Detailed discussion on the link between lean tools and lean wastes is provided for the poultry sector.

This is the first study that theoretically and empirically identifies the potential lean waste affecting the poultry sector and provides lean tools for eliminating these wastes. Sector-specific explanations and discussions are presented in the study to show the applicability of lean approaches in the poultry sector to eliminate waste. In addition, this study is the first to integrate the WRM and BWM.

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A solution approach proposal with a lean perspective for the poultry sector with WRM and BWM integration10.1108/IJQRM-03-2023-0105International Journal of Quality & Reliability Management2023-11-30© 2023 Emerald Publishing LimitedElif KiranYesim Deniz Ozkan-OzenYucel OzturkogluInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-11-3010.1108/IJQRM-03-2023-0105https://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0105/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A convolutional neural network to identify the change point of a multistage process profile with cascade propertyhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0111/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWhen a process experiences an out-of-control condition, identification of the change point is capable of leading practitioners to an effective root cause analysis. The change point addresses the time when a special cause(s) manifests itself into the process. In the statistical process monitoring when the chart signals an out-of-control condition, the change point analysis is an important step for the root cause analysis of the process. This paper attempts to propose a model approaching the artificial neural network to identify the change point of a multistage process with cascade property in the case that the process is modeled properly by a simple linear profile. In practice, many processes can be modeled by a functional relationship rather than a single random variable or a random vector. This approach of modeling is referred to as the profile in the statistical process control literature. In this paper, two models based on multilayer perceptron (MLP) and convolutional neural network (CNN) approaches are proposed for identifying the change point of the profile of a multistage process. The capability of the proposed models are evaluated and compared using several numerical scenarios. The numerical analysis of the proposed neural networks indicates that the two proposed models are capable of identifying the change point in different scenarios effectively. The comparative sensitivity analysis shows that the capability of the proposed convolutional network is superior compared to MLP network. To the best of the authors' knowledge, this is the first time that: (1) A model is proposed to identify the change point of the profile of a multistage process. (2) A convolutional neural network is modeled for identifying the change point of an out-of-control condition.A convolutional neural network to identify the change point of a multistage process profile with cascade property
Karim Atashgar, Mahnaz Boush
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

When a process experiences an out-of-control condition, identification of the change point is capable of leading practitioners to an effective root cause analysis. The change point addresses the time when a special cause(s) manifests itself into the process. In the statistical process monitoring when the chart signals an out-of-control condition, the change point analysis is an important step for the root cause analysis of the process. This paper attempts to propose a model approaching the artificial neural network to identify the change point of a multistage process with cascade property in the case that the process is modeled properly by a simple linear profile.

In practice, many processes can be modeled by a functional relationship rather than a single random variable or a random vector. This approach of modeling is referred to as the profile in the statistical process control literature. In this paper, two models based on multilayer perceptron (MLP) and convolutional neural network (CNN) approaches are proposed for identifying the change point of the profile of a multistage process.

The capability of the proposed models are evaluated and compared using several numerical scenarios. The numerical analysis of the proposed neural networks indicates that the two proposed models are capable of identifying the change point in different scenarios effectively. The comparative sensitivity analysis shows that the capability of the proposed convolutional network is superior compared to MLP network.

To the best of the authors' knowledge, this is the first time that: (1) A model is proposed to identify the change point of the profile of a multistage process. (2) A convolutional neural network is modeled for identifying the change point of an out-of-control condition.

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A convolutional neural network to identify the change point of a multistage process profile with cascade property10.1108/IJQRM-03-2023-0111International Journal of Quality & Reliability Management2023-07-04© 2023 Emerald Publishing LimitedKarim AtashgarMahnaz BoushInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-07-0410.1108/IJQRM-03-2023-0111https://www.emerald.com/insight/content/doi/10.1108/IJQRM-03-2023-0111/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How to offer good service? A study on behavior of consumer expectations over time in educational servicehttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-04-2021-0116/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article evaluates how consumer expectations evolve over time and if three antecedents (negative experiences, alternative attractiveness and level of visitation) explain possible changes in expectations. A conceptual model is structured with six hypotheses that are tested through articulated studies. First, a study with a longitudinal approach is developed and applied to a sample of students. Data collection is carried out over three periods and a latent growth model (LGM) is applied. Further ahead, another essay is developed to reexamine the moderating role of corporate image and level of visitation on the effect of negative experiences on expectations. For this, the role-playing approach is applied. Study 1 reveals that patterns of expectations change from one service meeting to another, and these mutations are influenced by negative experiences and alternative attractiveness. Three pieces of evidence are highlighted. First, negative experiences produce contradictory and simultaneous movements in consumer expectations. Negative experiences reduce desired expectations and, at the same time, increase adequate expectations. These effects change in magnitude because of the corporate image. This confirms the moderating role of the corporate image in the relationship between negative experiences and expectations. This does not happen with the level of visitation, in which the moderating function is not sustained. The findings about moderating effects are confirmed by Study 2. Second, as customers have alternative companies, the minimum level of expectation rises. Alternative attractiveness positively impacts only adequate expectations. Third, the results do not support the relationship between the level of visitation and expectations. This reveals that more frequent customers do not necessarily have higher expectations. This paper is the first to provide empirical results about the moderating effects of corporate image and level of visitation on the relationship between negative experiences and expectations.How to offer good service? A study on behavior of consumer expectations over time in educational service
Evadio Pereira Filho, Miguel Eduardo Moreno Añez, Kleber Cavalcanti Nobrega, Leandro Trigueiro Fernandes
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article evaluates how consumer expectations evolve over time and if three antecedents (negative experiences, alternative attractiveness and level of visitation) explain possible changes in expectations.

A conceptual model is structured with six hypotheses that are tested through articulated studies. First, a study with a longitudinal approach is developed and applied to a sample of students. Data collection is carried out over three periods and a latent growth model (LGM) is applied. Further ahead, another essay is developed to reexamine the moderating role of corporate image and level of visitation on the effect of negative experiences on expectations. For this, the role-playing approach is applied.

Study 1 reveals that patterns of expectations change from one service meeting to another, and these mutations are influenced by negative experiences and alternative attractiveness. Three pieces of evidence are highlighted. First, negative experiences produce contradictory and simultaneous movements in consumer expectations. Negative experiences reduce desired expectations and, at the same time, increase adequate expectations. These effects change in magnitude because of the corporate image. This confirms the moderating role of the corporate image in the relationship between negative experiences and expectations. This does not happen with the level of visitation, in which the moderating function is not sustained. The findings about moderating effects are confirmed by Study 2. Second, as customers have alternative companies, the minimum level of expectation rises. Alternative attractiveness positively impacts only adequate expectations. Third, the results do not support the relationship between the level of visitation and expectations. This reveals that more frequent customers do not necessarily have higher expectations.

This paper is the first to provide empirical results about the moderating effects of corporate image and level of visitation on the relationship between negative experiences and expectations.

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How to offer good service? A study on behavior of consumer expectations over time in educational service10.1108/IJQRM-04-2021-0116International Journal of Quality & Reliability Management2024-02-20© 2024 Emerald Publishing LimitedEvadio Pereira FilhoMiguel Eduardo Moreno AñezKleber Cavalcanti NobregaLeandro Trigueiro FernandesInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-2010.1108/IJQRM-04-2021-0116https://www.emerald.com/insight/content/doi/10.1108/IJQRM-04-2021-0116/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Optimal and economic design of modified double sampling plan under new Weibull–Pareto distributionhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-04-2022-0132/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to design a modified version of the double sampling plan to handle the inspection processes requiring a minimum sample size to assure the median life for the products under the new Weibull–Pareto distribution. The economic design of the proposed plan is also considered to assure the product's lifetime with minimum cost. The authors have developed an optimization model for obtaining the required plan parameters by solving simultaneously two non-linear inequalities and such inequalities have been formed based on the two points on the operating characteristic curve approach. The results show that the average sample number, average total inspection and total inspection cost under the proposed plan are smaller than the same of a single sampling plan. This means that the proposed plan will be more efficient than a single sampling plan in reducing inspection effort and cost while providing the desired protection. The proposed modified double sampling plan designed to assure the median life of the products under the new Weibull–Pareto distribution is not available in the literature. The proposed plan will be very useful in assuring the product median lifetime with minimum sample size as well as minimum cost in all the manufacturing industries.Optimal and economic design of modified double sampling plan under new Weibull–Pareto distribution
M. Sankara Narayanan, P. Jeyadurga, S. Balamurali
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to design a modified version of the double sampling plan to handle the inspection processes requiring a minimum sample size to assure the median life for the products under the new Weibull–Pareto distribution. The economic design of the proposed plan is also considered to assure the product's lifetime with minimum cost.

The authors have developed an optimization model for obtaining the required plan parameters by solving simultaneously two non-linear inequalities and such inequalities have been formed based on the two points on the operating characteristic curve approach.

The results show that the average sample number, average total inspection and total inspection cost under the proposed plan are smaller than the same of a single sampling plan. This means that the proposed plan will be more efficient than a single sampling plan in reducing inspection effort and cost while providing the desired protection.

The proposed modified double sampling plan designed to assure the median life of the products under the new Weibull–Pareto distribution is not available in the literature. The proposed plan will be very useful in assuring the product median lifetime with minimum sample size as well as minimum cost in all the manufacturing industries.

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Optimal and economic design of modified double sampling plan under new Weibull–Pareto distribution10.1108/IJQRM-04-2022-0132International Journal of Quality & Reliability Management2023-11-28© 2023 Emerald Publishing LimitedM. Sankara NarayananP. JeyadurgaS. BalamuraliInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-11-2810.1108/IJQRM-04-2022-0132https://www.emerald.com/insight/content/doi/10.1108/IJQRM-04-2022-0132/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Application of lean and quality improvement methods for improving operational performance in coal supply chains: a case studyhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-04-2023-0138/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe application of lean and quality improvement methods is very common in process improvement projects at organisational levels. The purpose of this research is to assess the adoption of Lean Six Sigma™ approaches for addressing a complex process-related issue in the coal industry. The sticky coal problem was investigated from the perspective of process-related issues. Issues were addressed using a blended Lean value stream of supply chain interfaces and waste minimisation through the Six Sigma™ DMAIC problem-solving approach, taking into consideration cross-organisational processes. It was found that the tendency to “solve the problem” at the receiving location without communication to the upstream was, and is still, a common practice that led to the main problem of downstream issues. The application of DMAIC Six Sigma™ helped to address the broader problem. The overall operations were improved significantly, showing the reduction of sticky coal/wagon hang-up in the downstream coal handling terminal. The Lean Six Sigma approaches were adopted using DMAIC across cross-organisational supply chain processes. However, blending Lean and Six Sigma methods needs to be empirically tested across other sectors. The proposed methodology, using a framework of Lean Six Sigma approaches, could be used to guide practitioners in addressing similar complex and recurring issues in the manufacturing sector. This research introduces a novel approach to process analysis, selection and contextualised improvement using a combination of Lean Six Sigma™ tools, techniques and methodologies sustained within a supply chain with certified ISO 9001 quality management systems.Application of lean and quality improvement methods for improving operational performance in coal supply chains: a case study
Premaratne Samaranayake, Michael W. McLean, Samanthi Kumari Weerabahu
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The application of lean and quality improvement methods is very common in process improvement projects at organisational levels. The purpose of this research is to assess the adoption of Lean Six Sigma™ approaches for addressing a complex process-related issue in the coal industry.

The sticky coal problem was investigated from the perspective of process-related issues. Issues were addressed using a blended Lean value stream of supply chain interfaces and waste minimisation through the Six Sigma™ DMAIC problem-solving approach, taking into consideration cross-organisational processes.

It was found that the tendency to “solve the problem” at the receiving location without communication to the upstream was, and is still, a common practice that led to the main problem of downstream issues. The application of DMAIC Six Sigma™ helped to address the broader problem. The overall operations were improved significantly, showing the reduction of sticky coal/wagon hang-up in the downstream coal handling terminal.

The Lean Six Sigma approaches were adopted using DMAIC across cross-organisational supply chain processes. However, blending Lean and Six Sigma methods needs to be empirically tested across other sectors.

The proposed methodology, using a framework of Lean Six Sigma approaches, could be used to guide practitioners in addressing similar complex and recurring issues in the manufacturing sector.

This research introduces a novel approach to process analysis, selection and contextualised improvement using a combination of Lean Six Sigma™ tools, techniques and methodologies sustained within a supply chain with certified ISO 9001 quality management systems.

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Application of lean and quality improvement methods for improving operational performance in coal supply chains: a case study10.1108/IJQRM-04-2023-0138International Journal of Quality & Reliability Management2024-01-19© 2024 Emerald Publishing LimitedPremaratne SamaranayakeMichael W. McLeanSamanthi Kumari WeerabahuInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-01-1910.1108/IJQRM-04-2023-0138https://www.emerald.com/insight/content/doi/10.1108/IJQRM-04-2023-0138/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Towards environmental sustainability: the nexus between green supply chain management, total quality management, and environmental management practiceshttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2022-0145/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the increasing concern over environmental pollution and global warming, companies are required to act responsibly to mitigate these environmental issues. Their activities should adhere to the standards of environmental sustainability. Thus, this study aimed to investigate the impact of green supply chain management (GSCM) and total quality management (TQM) on environmental sustainability, with environmental management practices (EMP) as the moderating factor. A quantitative study was adopted using the management data from various manufacturing companies in Jordan. A total of 362 responses were collected, and the proposed hypotheses were tested using a structural equation model. The study findings revealed that both GSCM and TQM significantly and positively influenced environmental sustainability. The impact of TQM on environmental sustainability was higher than that of GSCM. Moreover, no evidence was found on the moderating role of EMP. The study’s results highlighted to the decision-makers the main practices to expand the quality implementation across their supply chain to improve environmental sustainability. The study also demonstrated the reasons behind the insignificance of EMPs in strengthening the relationships between GSCM, TQM, and environmental sustainability. While there are very few studies examining the relationships between GSCM and TQM on environmental sustainability. This study adds to the literature body as one of a few empirical studies that tested the integrated effect of GSCM and TQM practices within the context of the manufacturing industry in a developing country. Moreover, this study takes a holistic approach by tapping into EMP to confirm whether it moderated the relationships between GSCM, TQM, and environmental sustainability.Towards environmental sustainability: the nexus between green supply chain management, total quality management, and environmental management practices
Luay Jum’a, Ziad Alkalha, Maher Alaraj
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the increasing concern over environmental pollution and global warming, companies are required to act responsibly to mitigate these environmental issues. Their activities should adhere to the standards of environmental sustainability. Thus, this study aimed to investigate the impact of green supply chain management (GSCM) and total quality management (TQM) on environmental sustainability, with environmental management practices (EMP) as the moderating factor.

A quantitative study was adopted using the management data from various manufacturing companies in Jordan. A total of 362 responses were collected, and the proposed hypotheses were tested using a structural equation model.

The study findings revealed that both GSCM and TQM significantly and positively influenced environmental sustainability. The impact of TQM on environmental sustainability was higher than that of GSCM. Moreover, no evidence was found on the moderating role of EMP.

The study’s results highlighted to the decision-makers the main practices to expand the quality implementation across their supply chain to improve environmental sustainability. The study also demonstrated the reasons behind the insignificance of EMPs in strengthening the relationships between GSCM, TQM, and environmental sustainability.

While there are very few studies examining the relationships between GSCM and TQM on environmental sustainability. This study adds to the literature body as one of a few empirical studies that tested the integrated effect of GSCM and TQM practices within the context of the manufacturing industry in a developing country. Moreover, this study takes a holistic approach by tapping into EMP to confirm whether it moderated the relationships between GSCM, TQM, and environmental sustainability.

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Towards environmental sustainability: the nexus between green supply chain management, total quality management, and environmental management practices10.1108/IJQRM-05-2022-0145International Journal of Quality & Reliability Management2024-02-06© 2023 Emerald Publishing LimitedLuay Jum’aZiad AlkalhaMaher AlarajInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-0610.1108/IJQRM-05-2022-0145https://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2022-0145/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effects of quality management on the development of organisational exploration: an empirical research on the organic agro-food industryhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2022-0161/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to analyse the role of quality management on the development of organisational exploration. Partial Least Square was used on a sample of 350 companies within the Spanish organic agro-food industry. The study results provide empirical evidence of the positive and significant impact that quality management has on the development of organisational exploration. Causal relationships cannot be applied to this study due to cross-sectional data being used rather than longitudinal data. Quality management must be considered by managers an essential tool to the development of organisational exploration. As a systematic approach, that moves towards to the development of policies, attitudes and behaviours which foster and boots the development of organisational exploration. Quality management is a widely used management approach, which organisations use to improve the quality of their products, services and their overall performance. Organisational exploration is seen as a fundamental tool to ensure sustainability, profitability and the future survival of organisations; however, there is disagreement throughout previous research. Some authors point out the importance of quality management in developing activities that promote organisational exploration, whereas other authors see quality management as an inhibitor. Given the great controversy in previous research, our study clarifies the role of quality management in the development of organisational exploration.The effects of quality management on the development of organisational exploration: an empirical research on the organic agro-food industry
Aldo Giovanni Caypa-Altare, Maria D. Moreno-Luzon
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to analyse the role of quality management on the development of organisational exploration.

Partial Least Square was used on a sample of 350 companies within the Spanish organic agro-food industry.

The study results provide empirical evidence of the positive and significant impact that quality management has on the development of organisational exploration.

Causal relationships cannot be applied to this study due to cross-sectional data being used rather than longitudinal data.

Quality management must be considered by managers an essential tool to the development of organisational exploration. As a systematic approach, that moves towards to the development of policies, attitudes and behaviours which foster and boots the development of organisational exploration.

Quality management is a widely used management approach, which organisations use to improve the quality of their products, services and their overall performance. Organisational exploration is seen as a fundamental tool to ensure sustainability, profitability and the future survival of organisations; however, there is disagreement throughout previous research. Some authors point out the importance of quality management in developing activities that promote organisational exploration, whereas other authors see quality management as an inhibitor. Given the great controversy in previous research, our study clarifies the role of quality management in the development of organisational exploration.

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The effects of quality management on the development of organisational exploration: an empirical research on the organic agro-food industry10.1108/IJQRM-05-2022-0161International Journal of Quality & Reliability Management2024-03-26© 2024 Emerald Publishing LimitedAldo Giovanni Caypa-AltareMaria D. Moreno-LuzonInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-2610.1108/IJQRM-05-2022-0161https://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2022-0161/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Developing a competency model for maintenance 4.0 stakeholdershttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2023-0151/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestCompetencies are significant predictors of employee outcome. Nowadays, new technologies are changing maintenance processes and workflow. The role of employees and their competencies will therefore undergo decisive changes in the future. Therefore, a well-designed competency model for maintenance departments is important. The purpose of this paper is to develop a maintenance 4.0 competency model applicable to all industrial sectors by adapting it to the specificities of each sector. The research methods consist of a comprehensive literature review on the main characteristics of the competency model and the individual competencies needed for the maintenance 4.0 employees. Interviews were conducted in order to validate and prioritize the required competencies for maintenance 4.0 employees identified in the literature. The maintenance 4.0 competency model combines the required competencies in maintenance 4.0 and crosses the three hierarchical levels: managers, engineers and technicians. These competencies are organized in terms of four categories: technical, personal, social and methodological. In addition, a degree of importance for each competency is assigned as very important, moderately important and slightly important. As a result, this study identified the essential competencies for maintenance 4.0 stakeholders, where 12 competencies are considered very important for maintenance 4.0 technicians, 19 for engineers and 18 for managers. This work has some limitations. First, although the articles related to competencies and their classification were selected very carefully, it is difficult to eliminate the probability of overlooking publications. Second, the limitation of the study is based on the difficulty of implementing the model in a case study, given that a minority of industrial companies have implemented maintenance 4.0 technologies in Morocco. This work has practical implications for both individuals and institutions (companies and academies) to cope with new competency requirements in maintenance 4.0. Organizations can use the model in the recruitment process and for the identification of training needs. The results of the research will also contribute to identifying the scope of competencies of the maintenance 4.0 actors (engineer, manager and technician), which, in practice, contributes to the creation of requirements for the candidates applying for a job in the maintenance department. Additionally, educational institutions should make the necessary changes to their curricula to suitably prepare students for the required maintenance 4.0 competencies. The social implications of the article result from the contribution to the development of maintenance competencies. Individuals can use this model for their own personal development. Furthermore, companies can use this model to define job profiles for vacancies in M4.0. Therefore, using the model for training program implementation has a positive effect on employee job satisfaction and employees ’morale. This research develops a novel maintenance 4.0 competency model by categorizing the maintenance workforce into three hierarchical levels: managers, engineers and technicians. In addition, the competency requirement is prioritized to three degrees: very important, moderately important and slightly important. According to the previous studies conducted on maintenance 4.0 and employees' competencies, this study revealed that no research has developed a competency model for maintenance 4.0. Hence, this model is unique, generic and integrative since it presents the most relevant competencies for the three hierarchical levels. Moreover, this work combines the results of the literature review and the experts' returns. This model can be useful in the recruitment of new maintenance employees, the evaluation of their performance and the identification of training needs to cope with new changes in maintenance competencies.Developing a competency model for maintenance 4.0 stakeholders
Fadoua Benhamza Hlihel, Youness Chater, Abderrazak Boumane
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Competencies are significant predictors of employee outcome. Nowadays, new technologies are changing maintenance processes and workflow. The role of employees and their competencies will therefore undergo decisive changes in the future. Therefore, a well-designed competency model for maintenance departments is important. The purpose of this paper is to develop a maintenance 4.0 competency model applicable to all industrial sectors by adapting it to the specificities of each sector.

The research methods consist of a comprehensive literature review on the main characteristics of the competency model and the individual competencies needed for the maintenance 4.0 employees. Interviews were conducted in order to validate and prioritize the required competencies for maintenance 4.0 employees identified in the literature.

The maintenance 4.0 competency model combines the required competencies in maintenance 4.0 and crosses the three hierarchical levels: managers, engineers and technicians. These competencies are organized in terms of four categories: technical, personal, social and methodological. In addition, a degree of importance for each competency is assigned as very important, moderately important and slightly important. As a result, this study identified the essential competencies for maintenance 4.0 stakeholders, where 12 competencies are considered very important for maintenance 4.0 technicians, 19 for engineers and 18 for managers.

This work has some limitations. First, although the articles related to competencies and their classification were selected very carefully, it is difficult to eliminate the probability of overlooking publications. Second, the limitation of the study is based on the difficulty of implementing the model in a case study, given that a minority of industrial companies have implemented maintenance 4.0 technologies in Morocco.

This work has practical implications for both individuals and institutions (companies and academies) to cope with new competency requirements in maintenance 4.0. Organizations can use the model in the recruitment process and for the identification of training needs. The results of the research will also contribute to identifying the scope of competencies of the maintenance 4.0 actors (engineer, manager and technician), which, in practice, contributes to the creation of requirements for the candidates applying for a job in the maintenance department. Additionally, educational institutions should make the necessary changes to their curricula to suitably prepare students for the required maintenance 4.0 competencies.

The social implications of the article result from the contribution to the development of maintenance competencies. Individuals can use this model for their own personal development. Furthermore, companies can use this model to define job profiles for vacancies in M4.0. Therefore, using the model for training program implementation has a positive effect on employee job satisfaction and employees ’morale.

This research develops a novel maintenance 4.0 competency model by categorizing the maintenance workforce into three hierarchical levels: managers, engineers and technicians. In addition, the competency requirement is prioritized to three degrees: very important, moderately important and slightly important. According to the previous studies conducted on maintenance 4.0 and employees' competencies, this study revealed that no research has developed a competency model for maintenance 4.0. Hence, this model is unique, generic and integrative since it presents the most relevant competencies for the three hierarchical levels. Moreover, this work combines the results of the literature review and the experts' returns. This model can be useful in the recruitment of new maintenance employees, the evaluation of their performance and the identification of training needs to cope with new changes in maintenance competencies.

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Developing a competency model for maintenance 4.0 stakeholders10.1108/IJQRM-05-2023-0151International Journal of Quality & Reliability Management2024-01-09© 2023 Emerald Publishing LimitedFadoua Benhamza HlihelYouness ChaterAbderrazak BoumaneInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-01-0910.1108/IJQRM-05-2023-0151https://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2023-0151/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Behavioural intention of consumers to use app-based shopping on green tech products in an emerging economyhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2023-0164/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this research article is to explore the behavioural intention of consumers to use app-based shopping for green-tech products in the emerging economy of Bangladesh. The study investigates the indirect effects of perceived ease of use, usefulness, perceived delivery and perceived security on the behavioural intention to use app-based shopping for purchasing green-tech products by considering the mediating role of perceived trust. A quantitative research approach was applied to collect data from the respondents who had previously used app-based shopping for green-tech products in Bangladesh. An online, self-administered survey questionnaire was used to collect data from 348 respondents. The survey data was analysed using SmartPLS-4 to measure the reliability and validity of the constructs. In addition, partial least squares structural equation modelling (PLS-SEM) was employed to test the research model and hypotheses. The study's results reveal that perceived usefulness, ease of use, security and delivery positively and significantly influence perceived trust, leading to a higher behavioural intention to use app-based shopping for green-tech products. Additionally, perceived trust significantly mediates the relationship between the behavioural intention to use app-based shopping and perceived usefulness, perceived ease of use, perceived security and perceived delivery. The study's findings have important implications for app-based shopping services to support customers interested in purchasing green-tech products in an emerging economy. The results also indicate that green-tech product companies must adopt new service delivery channels and ensure consumers' convenience and cost and time savings. The present research findings suggest that green-tech product companies need to ensure that they integrate digital technologies into their services for secure and timely delivery of products, improving customer convenience. The study's findings can be insightful for app-based shopping service providers to foster their businesses by focussing on developing a positive trust perception in the consumer's mind, leading to a positive intention to use the app-based shopping services. The present study will enrich the current literature by investigating how consumers' perceived trust affects their behavioural intention to use app-based online shopping for purchasing green-tech products. It will also expand the existing knowledge on app-based shopping by exploring how perceived delivery impacts perceived trust, which subsequently affects customers' intentions to adopt the purchase of green-tech products.Behavioural intention of consumers to use app-based shopping on green tech products in an emerging economy
Selim Ahmed, Dewan Mehrab Ashrafi, Pradeep Paraman, Bablu Kumar Dhar, Sanmugam Annamalah
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this research article is to explore the behavioural intention of consumers to use app-based shopping for green-tech products in the emerging economy of Bangladesh. The study investigates the indirect effects of perceived ease of use, usefulness, perceived delivery and perceived security on the behavioural intention to use app-based shopping for purchasing green-tech products by considering the mediating role of perceived trust.

A quantitative research approach was applied to collect data from the respondents who had previously used app-based shopping for green-tech products in Bangladesh. An online, self-administered survey questionnaire was used to collect data from 348 respondents. The survey data was analysed using SmartPLS-4 to measure the reliability and validity of the constructs. In addition, partial least squares structural equation modelling (PLS-SEM) was employed to test the research model and hypotheses.

The study's results reveal that perceived usefulness, ease of use, security and delivery positively and significantly influence perceived trust, leading to a higher behavioural intention to use app-based shopping for green-tech products. Additionally, perceived trust significantly mediates the relationship between the behavioural intention to use app-based shopping and perceived usefulness, perceived ease of use, perceived security and perceived delivery.

The study's findings have important implications for app-based shopping services to support customers interested in purchasing green-tech products in an emerging economy. The results also indicate that green-tech product companies must adopt new service delivery channels and ensure consumers' convenience and cost and time savings. The present research findings suggest that green-tech product companies need to ensure that they integrate digital technologies into their services for secure and timely delivery of products, improving customer convenience.

The study's findings can be insightful for app-based shopping service providers to foster their businesses by focussing on developing a positive trust perception in the consumer's mind, leading to a positive intention to use the app-based shopping services. The present study will enrich the current literature by investigating how consumers' perceived trust affects their behavioural intention to use app-based online shopping for purchasing green-tech products. It will also expand the existing knowledge on app-based shopping by exploring how perceived delivery impacts perceived trust, which subsequently affects customers' intentions to adopt the purchase of green-tech products.

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Behavioural intention of consumers to use app-based shopping on green tech products in an emerging economy10.1108/IJQRM-05-2023-0164International Journal of Quality & Reliability Management2023-12-26© 2023 Emerald Publishing LimitedSelim AhmedDewan Mehrab AshrafiPradeep ParamanBablu Kumar DharSanmugam AnnamalahInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-12-2610.1108/IJQRM-05-2023-0164https://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2023-0164/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Application of Six Sigma methodology in the analysis of variance: process shift versus inflation coefficienthttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2023-0170/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this article is to study the link between mean shift and inflation coefficient when the underlying null hypothesis is rejected in the analysis of variance (ANOVA) application after the preliminary test on the model specification. A new approach is proposed to study the link between mean shift and inflation coefficient when the underlying null hypothesis is rejected in the ANOVA application. First, we determine this relationship from the general perspective of Six Sigma methodology under the normality assumption. Then, the approach is extended to a balanced two-stage nested design with a random effects model in which a preliminary test is used to fix the main test statistic. The features of mean-shifted and inflated (but centred) processes with the same specification limits from the perspective of Six Sigma are studied. The shift and inflation coefficients are derived for the two-stage balanced ANOVA model. We obtained good predictions for the process shift, given the inflation coefficient, which has been demonstrated using numerical results and applied to case studies. It is understood that the proposed method may be used as a tool to obtain an efficient variance estimator under mean shift. In this work, as a new research approach, we studied the link between mean shift and inflation coefficients when the underlying null hypothesis is rejected in the ANOVA. Derivations for these coefficients are presented. The results when the null hypothesis is accepted are also studied. This needs the help of preliminary tests to decide on the model assumptions, and hence the researchers are expected to be familiar with the application of preliminary tests. After studying the proposed approach with extensive numerical results, we have provided two practical examples that demonstrate the significance of the approach for real-time practitioners. The practitioners are expected to take additional care before deciding on the model assumptions by applying preliminary tests. The proposed approach is original in the sense that there have been no similar approaches existing in the literature that combine Six Sigma and preliminary tests in ANOVA applications.Application of Six Sigma methodology in the analysis of variance: process shift versus inflation coefficient
Ravichandran Joghee, Reesa Varghese
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this article is to study the link between mean shift and inflation coefficient when the underlying null hypothesis is rejected in the analysis of variance (ANOVA) application after the preliminary test on the model specification.

A new approach is proposed to study the link between mean shift and inflation coefficient when the underlying null hypothesis is rejected in the ANOVA application. First, we determine this relationship from the general perspective of Six Sigma methodology under the normality assumption. Then, the approach is extended to a balanced two-stage nested design with a random effects model in which a preliminary test is used to fix the main test statistic.

The features of mean-shifted and inflated (but centred) processes with the same specification limits from the perspective of Six Sigma are studied. The shift and inflation coefficients are derived for the two-stage balanced ANOVA model. We obtained good predictions for the process shift, given the inflation coefficient, which has been demonstrated using numerical results and applied to case studies. It is understood that the proposed method may be used as a tool to obtain an efficient variance estimator under mean shift.

In this work, as a new research approach, we studied the link between mean shift and inflation coefficients when the underlying null hypothesis is rejected in the ANOVA. Derivations for these coefficients are presented. The results when the null hypothesis is accepted are also studied. This needs the help of preliminary tests to decide on the model assumptions, and hence the researchers are expected to be familiar with the application of preliminary tests.

After studying the proposed approach with extensive numerical results, we have provided two practical examples that demonstrate the significance of the approach for real-time practitioners. The practitioners are expected to take additional care before deciding on the model assumptions by applying preliminary tests.

The proposed approach is original in the sense that there have been no similar approaches existing in the literature that combine Six Sigma and preliminary tests in ANOVA applications.

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Application of Six Sigma methodology in the analysis of variance: process shift versus inflation coefficient10.1108/IJQRM-05-2023-0170International Journal of Quality & Reliability Management2024-03-22© 2024 Emerald Publishing LimitedRavichandran JogheeReesa VargheseInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-2210.1108/IJQRM-05-2023-0170https://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2023-0170/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The effect of lean, agile, resilient and sustainable (LARS) HRM on the environmental performance: the mediating role of green innovationhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2023-0176/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe current study’s goal is to investigate how lean, agile, resilient and sustainable human resource management (LARS HRM) affects green innovation and environmental performance, both directly and indirectly. Partial least squares-structural equation modeling (PLS-SEM) was used to analyze the data based on a sample of 273 Tunisian businesses in the industrial and service sectors that were certified ISO 9001. With the exception of AHRM–GPdtI, the results show that the mainstream advanced theory on direct effects was verified. With regard to indirect effects, everything of the literature that was presented was accepted, with the exception of the relationship between AHRM–GPdtI–EP, AHRM–GPssI–EP and RHRM–GPdtI–EP. This research is distinctive in that it aims to incorporate every LARGS paradigm within the HRM field. By taking green innovation into consideration, it closes the current gaps on the direct and indirect effects of LARS HRM on environmental performance. Our study is unique in that it incorporates large, industry-operating, certified ISO 9001 firms with those in the service sector, with the goal of achieving greater generalization of results.The effect of lean, agile, resilient and sustainable (LARS) HRM on the environmental performance: the mediating role of green innovation
Imen Ouragini, Imen Ben Achour, Lassaad Lakhal
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The current study’s goal is to investigate how lean, agile, resilient and sustainable human resource management (LARS HRM) affects green innovation and environmental performance, both directly and indirectly.

Partial least squares-structural equation modeling (PLS-SEM) was used to analyze the data based on a sample of 273 Tunisian businesses in the industrial and service sectors that were certified ISO 9001.

With the exception of AHRM–GPdtI, the results show that the mainstream advanced theory on direct effects was verified. With regard to indirect effects, everything of the literature that was presented was accepted, with the exception of the relationship between AHRM–GPdtI–EP, AHRM–GPssI–EP and RHRM–GPdtI–EP.

This research is distinctive in that it aims to incorporate every LARGS paradigm within the HRM field. By taking green innovation into consideration, it closes the current gaps on the direct and indirect effects of LARS HRM on environmental performance. Our study is unique in that it incorporates large, industry-operating, certified ISO 9001 firms with those in the service sector, with the goal of achieving greater generalization of results.

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The effect of lean, agile, resilient and sustainable (LARS) HRM on the environmental performance: the mediating role of green innovation10.1108/IJQRM-05-2023-0176International Journal of Quality & Reliability Management2024-02-23© 2024 Emerald Publishing LimitedImen OuraginiImen Ben AchourLassaad LakhalInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-2310.1108/IJQRM-05-2023-0176https://www.emerald.com/insight/content/doi/10.1108/IJQRM-05-2023-0176/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Maintenance policies considering degradation and cost processes for a multi-component systemhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2022-0168/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper models the deterioration process of a multi-component system. Each deterioration process is modelled by the Wiener process. The purposes of this paper are to address these issues and consider the cost process based on the multi-component system. Condition-based Maintenance is a method for reducing the probability of system failures as well as the operating cost. Nowadays, a system is composed of multiple components. If the deteriorating process of each component can be monitored and then modelled by a stochastic process, the deteriorating process of the system is a stochastic process. The cost of repairing failures of the components in the system forms a stochastic process as well and is known as a cost process. When a linear combination of the processes, which can be the deterioration processes and the cost processes, exceeds a pre-specified threshold, a replacement policy will be carried out to preventively maintain the system. Under this setting, this paper investigates maintenance policies based on the deterioration process and the cost process. Numerical examples are given to illustrate the optimisation process.Maintenance policies considering degradation and cost processes for a multi-component system
Jiaqi Yin, Shaomin Wu, Virginia Spiegler
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper models the deterioration process of a multi-component system. Each deterioration process is modelled by the Wiener process. The purposes of this paper are to address these issues and consider the cost process based on the multi-component system.

Condition-based Maintenance is a method for reducing the probability of system failures as well as the operating cost. Nowadays, a system is composed of multiple components. If the deteriorating process of each component can be monitored and then modelled by a stochastic process, the deteriorating process of the system is a stochastic process. The cost of repairing failures of the components in the system forms a stochastic process as well and is known as a cost process.

When a linear combination of the processes, which can be the deterioration processes and the cost processes, exceeds a pre-specified threshold, a replacement policy will be carried out to preventively maintain the system.

Under this setting, this paper investigates maintenance policies based on the deterioration process and the cost process. Numerical examples are given to illustrate the optimisation process.

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Maintenance policies considering degradation and cost processes for a multi-component system10.1108/IJQRM-06-2022-0168International Journal of Quality & Reliability Management2023-03-14© 2023 Emerald Publishing LimitedJiaqi YinShaomin WuVirginia SpieglerInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-03-1410.1108/IJQRM-06-2022-0168https://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2022-0168/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Risk-based reliability assessment and testing stop time based software system modelinghttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2022-0186/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe ideology of this article is to study the performance concerns of SDN Controllers, with the help of developed SRGM and thereby obtain its optimal testing duration. The effect of undetected uncertainty in the parameter values have also been catered in the proposal. These uncertainties in the parameter values are studied as the risk of not meeting desired set of requirements, whose removal causes additional cost. Considering these two constructs as attributes of MAUT, the controller's optimal testing duration is obtained. The article focuses towards obtaining the optimal duration for which the SDN Controllers must be tested. It was observed that the inculcation of risk-attribute has provided the higher utility value as compared to any other existing scenarios. Plenty of SRGM have been proposed in the literature which talks about the testing stop time determination problems. But, none of them have considered the impact of risk of not meeting the requirements (reliability) along with cost to obtain its testing stop time. Further, validation of the proposed model in presented with the help of two releases versions of SDN controller platform, ONOS, entitled as “Kingfisher” and “Loon” and has acquired promising results.Risk-based reliability assessment and testing stop time based software system modeling
Priyanka Gupta, Adarsh Anand, Yoshinobu Tamura, Mangey Ram
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The ideology of this article is to study the performance concerns of SDN Controllers, with the help of developed SRGM and thereby obtain its optimal testing duration. The effect of undetected uncertainty in the parameter values have also been catered in the proposal.

These uncertainties in the parameter values are studied as the risk of not meeting desired set of requirements, whose removal causes additional cost. Considering these two constructs as attributes of MAUT, the controller's optimal testing duration is obtained.

The article focuses towards obtaining the optimal duration for which the SDN Controllers must be tested. It was observed that the inculcation of risk-attribute has provided the higher utility value as compared to any other existing scenarios.

Plenty of SRGM have been proposed in the literature which talks about the testing stop time determination problems. But, none of them have considered the impact of risk of not meeting the requirements (reliability) along with cost to obtain its testing stop time. Further, validation of the proposed model in presented with the help of two releases versions of SDN controller platform, ONOS, entitled as “Kingfisher” and “Loon” and has acquired promising results.

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Risk-based reliability assessment and testing stop time based software system modeling10.1108/IJQRM-06-2022-0186International Journal of Quality & Reliability Management2023-07-04© 2023 Emerald Publishing LimitedPriyanka GuptaAdarsh AnandYoshinobu TamuraMangey RamInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-07-0410.1108/IJQRM-06-2022-0186https://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2022-0186/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The impact of TQM practices on organizational performance and on innovation: the mediating role of organizational learninghttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2022-0188/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article examines the direct effect of total quality management (TQM) practices on organizational performance (OP) and innovation (INN), as well as their indirect effect through organizational learning (OL) as a mediating variable. In addition, this survey examines company size as a contextual variable in the relationship between TQM and outcome variables. A conceptual framework is proposed to test causal links between TQM, OP, INN and OL. To empirically test this framework, 110 questionnaires were collected from large Tunisian quality-certified industries, and 167 questionnaires were collected from small and medium-sized industries (SMIs) in order to examine the effect of company size. In this order, a multigroup analysis (MGA) is performed. Using the structural equation modeling technique, seven hypotheses are investigated. The results reveal that TQM has a direct and significant positive effect on OP and INN. Data analysis shows that there is a significant positive effect between TQM and OL, while OL positively influences OP and INN. Furthermore, the results illustrate a mediating effect of OL between TQM and OP and INN. The results reveal that large industries and SMIs show significant differences in the relationship, including the conceptual model. The conceptual framework can be used by practitioners for effective implementation of TQM practices to simultaneously improve operational performance, quality performance and INN. This study also focuses on the role of OL in large-scale industries. While the relationships between TQM, INN and OP have been examined separately in previous studies, this study examines the relationship between these variables in a unique model in Tunisian industries, including OL as a mediating variable. In addition, it is one of the few studies that considers firm size as a contextual variable and provides an analysis of its effect on the relationships between these variables. This study presents new data and empirical insights into the relationship between these variables.The impact of TQM practices on organizational performance and on innovation: the mediating role of organizational learning
Oumayma Tajouri, Lassaad Lakhal
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article examines the direct effect of total quality management (TQM) practices on organizational performance (OP) and innovation (INN), as well as their indirect effect through organizational learning (OL) as a mediating variable. In addition, this survey examines company size as a contextual variable in the relationship between TQM and outcome variables.

A conceptual framework is proposed to test causal links between TQM, OP, INN and OL. To empirically test this framework, 110 questionnaires were collected from large Tunisian quality-certified industries, and 167 questionnaires were collected from small and medium-sized industries (SMIs) in order to examine the effect of company size. In this order, a multigroup analysis (MGA) is performed.

Using the structural equation modeling technique, seven hypotheses are investigated. The results reveal that TQM has a direct and significant positive effect on OP and INN. Data analysis shows that there is a significant positive effect between TQM and OL, while OL positively influences OP and INN. Furthermore, the results illustrate a mediating effect of OL between TQM and OP and INN. The results reveal that large industries and SMIs show significant differences in the relationship, including the conceptual model.

The conceptual framework can be used by practitioners for effective implementation of TQM practices to simultaneously improve operational performance, quality performance and INN. This study also focuses on the role of OL in large-scale industries.

While the relationships between TQM, INN and OP have been examined separately in previous studies, this study examines the relationship between these variables in a unique model in Tunisian industries, including OL as a mediating variable. In addition, it is one of the few studies that considers firm size as a contextual variable and provides an analysis of its effect on the relationships between these variables. This study presents new data and empirical insights into the relationship between these variables.

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The impact of TQM practices on organizational performance and on innovation: the mediating role of organizational learning10.1108/IJQRM-06-2022-0188International Journal of Quality & Reliability Management2024-01-01© 2023 Emerald Publishing LimitedOumayma TajouriLassaad LakhalInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-01-0110.1108/IJQRM-06-2022-0188https://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2022-0188/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The factors obstructing the blockchain adoption in supply chain finance: a hybrid fuzzy DELPHI-AHP-DEMATEL approachhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2022-0198/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSupply chain finance (SCF) is an advanced financing solution for medium and small organizations. However, due to its nascent stage, SCF is still struggling with its application in the supply chain. The blockchain application in SCF can bring lots of opportunities and smart techniques to deal with financing to organizations. However, some factors restrict the proper adoption of blockchain in SCF. Therefore, this study aims to identify and analyze the factors obstructing blockchain adoption in SCF. The present study applied a hybrid fuzzy DELPHI-AHP-DEMATEL to validate and analyze the factors. The fuzzy Delphi techniques were adopted to validate the identified factors. Thereafter, the analytic hierarchy process (AHP) has been used to prioritize the validated factors. Further, the decision-making trial and evaluation laboratory (DEMATEL) method has opted to classify the factors into cause-and-effect groups. The result of the study revealed that lack of technological competence and confidentiality leaking are the most prioritized factors and act as the prime factors for the obstacles in the blockchain application in the SCF. The application of the DEMATEL method revealed that the highest causing factor is authenticity, and the highest effecting factor is high cost. The current study enhances the knowledge and information of managers and policymakers about the challenges associated with the blockchain application in SCF as well as provides better insight to deal with various factors obstructing blockchain adoption in SCF. The current study is the first of its kind, where factors obstructing blockchain adoption in SCF are identified and validated with the help of experts and practitioners by incorporating the fuzzy Delphi method. Thereafter, the validated factors are prioritized by using fuzzy AHP and fuzzy DEMATEL techniques helps to identify the cause-and-effect group, which opens the door for future research work.The factors obstructing the blockchain adoption in supply chain finance: a hybrid fuzzy DELPHI-AHP-DEMATEL approach
P.S. Biswa Bhusan Sahoo, Vikas Thakur
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Supply chain finance (SCF) is an advanced financing solution for medium and small organizations. However, due to its nascent stage, SCF is still struggling with its application in the supply chain. The blockchain application in SCF can bring lots of opportunities and smart techniques to deal with financing to organizations. However, some factors restrict the proper adoption of blockchain in SCF. Therefore, this study aims to identify and analyze the factors obstructing blockchain adoption in SCF.

The present study applied a hybrid fuzzy DELPHI-AHP-DEMATEL to validate and analyze the factors. The fuzzy Delphi techniques were adopted to validate the identified factors. Thereafter, the analytic hierarchy process (AHP) has been used to prioritize the validated factors. Further, the decision-making trial and evaluation laboratory (DEMATEL) method has opted to classify the factors into cause-and-effect groups.

The result of the study revealed that lack of technological competence and confidentiality leaking are the most prioritized factors and act as the prime factors for the obstacles in the blockchain application in the SCF. The application of the DEMATEL method revealed that the highest causing factor is authenticity, and the highest effecting factor is high cost.

The current study enhances the knowledge and information of managers and policymakers about the challenges associated with the blockchain application in SCF as well as provides better insight to deal with various factors obstructing blockchain adoption in SCF.

The current study is the first of its kind, where factors obstructing blockchain adoption in SCF are identified and validated with the help of experts and practitioners by incorporating the fuzzy Delphi method. Thereafter, the validated factors are prioritized by using fuzzy AHP and fuzzy DEMATEL techniques helps to identify the cause-and-effect group, which opens the door for future research work.

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The factors obstructing the blockchain adoption in supply chain finance: a hybrid fuzzy DELPHI-AHP-DEMATEL approach10.1108/IJQRM-06-2022-0198International Journal of Quality & Reliability Management2023-08-17© 2023 Emerald Publishing LimitedP.S. Biswa Bhusan SahooVikas ThakurInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-08-1710.1108/IJQRM-06-2022-0198https://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2022-0198/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Prioritization of critical factors toward Industry 4.0 adoption in service industries: an emerging economy perspectivehttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2023-0184/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSignificant developments in the service sector have been brought about by Industry 4.0. Automated digital technologies make it possible to upgrade existing services and develop modern industrial services. This study prioritizes critical factors for adopting Industry 4.0 in the Indian service industries. The author identified four criteria and fifteen significant factors from the relevant literature that have been corroborated by industry experts. Models are then developed by the analytical hierarchy process (AHP) and analytical network process (ANP) approach to ascertain the significant factors for adopting Industry 4.0 in service industries. Further, sensitivity analysis has been conducted to determine the sensitivities of the rank of criteria and sub-factors to corroborate the results. The outcome reveals the top significant criteria as organizational criteria (0.5019) and innovation criteria (0.3081). This study prioritizes six significant factors information technology (IT) specialization, digital decentralization of all departments, organizational size, smart services through customer data, top management support and Industry 4.0 infrastructure in the transition toward Industry 4.0 in the service industries. The potential factors identified in this study will assist managers in determining strategies to effectively manage the Industry 4.0 transition by concentrating on top priorities when leveraging Industry 4.0. The significance of organizational and innovation criteria given more weight will lay the groundwork for future Industry 4.0 implementation guidelines in service industries. Our research is novel since, to our knowledge, no previous study has investigated the potential critical factors from organizational, environmental, innovation and cost dimensions. Thus, the potential critical factors identified are the contributions of this study.Prioritization of critical factors toward Industry 4.0 adoption in service industries: an emerging economy perspective
Poonam Sahoo, Pavan Kumar Saraf, Rashmi Uchil
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Significant developments in the service sector have been brought about by Industry 4.0. Automated digital technologies make it possible to upgrade existing services and develop modern industrial services. This study prioritizes critical factors for adopting Industry 4.0 in the Indian service industries.

The author identified four criteria and fifteen significant factors from the relevant literature that have been corroborated by industry experts. Models are then developed by the analytical hierarchy process (AHP) and analytical network process (ANP) approach to ascertain the significant factors for adopting Industry 4.0 in service industries. Further, sensitivity analysis has been conducted to determine the sensitivities of the rank of criteria and sub-factors to corroborate the results.

The outcome reveals the top significant criteria as organizational criteria (0.5019) and innovation criteria (0.3081). This study prioritizes six significant factors information technology (IT) specialization, digital decentralization of all departments, organizational size, smart services through customer data, top management support and Industry 4.0 infrastructure in the transition toward Industry 4.0 in the service industries.

The potential factors identified in this study will assist managers in determining strategies to effectively manage the Industry 4.0 transition by concentrating on top priorities when leveraging Industry 4.0. The significance of organizational and innovation criteria given more weight will lay the groundwork for future Industry 4.0 implementation guidelines in service industries.

Our research is novel since, to our knowledge, no previous study has investigated the potential critical factors from organizational, environmental, innovation and cost dimensions. Thus, the potential critical factors identified are the contributions of this study.

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Prioritization of critical factors toward Industry 4.0 adoption in service industries: an emerging economy perspective10.1108/IJQRM-06-2023-0184International Journal of Quality & Reliability Management2024-02-15© 2024 Emerald Publishing LimitedPoonam SahooPavan Kumar SarafRashmi UchilInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-1510.1108/IJQRM-06-2023-0184https://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2023-0184/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Are women satisfied with childbirth services provided in public health facilities? Evidence from two districts in Bihar, Indiahttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2023-0188/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to measure the level of satisfaction among women with childbirth services provided at public health facilities. Further, to analyse the impact of their socio-economic and obstetric characteristics on their level of satisfaction. To accomplish these objectives a cross-sectional survey was conducted in two districts of an Indian state, Bihar. Structured questionnaire was developed based on the scale proposed by Okumu and Oyugi (2018) both for vaginal and caesarean birth patients. For empirical analysis multiple linear regression model was employed. Results suggest that majority of mothers are satisfied with the care they received during childbirth, regardless of whether they chose a caesarean (55%) or vaginal delivery (53%). Women report the lowest levels of satisfaction with postpartum care and the privacy that was preserved by healthcare personnel at health facility. Further the study also confirms the association between patient’s socio-economic characteristics and their satisfaction level. This is the first study of its kind to highlight the situation of public healthcare system in Bihar, which is the third most populated state in India with poor social and health indicators.Are women satisfied with childbirth services provided in public health facilities? Evidence from two districts in Bihar, India
Kumari Youkta, Rajendra Narayan Paramanik
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to measure the level of satisfaction among women with childbirth services provided at public health facilities. Further, to analyse the impact of their socio-economic and obstetric characteristics on their level of satisfaction.

To accomplish these objectives a cross-sectional survey was conducted in two districts of an Indian state, Bihar. Structured questionnaire was developed based on the scale proposed by Okumu and Oyugi (2018) both for vaginal and caesarean birth patients. For empirical analysis multiple linear regression model was employed.

Results suggest that majority of mothers are satisfied with the care they received during childbirth, regardless of whether they chose a caesarean (55%) or vaginal delivery (53%). Women report the lowest levels of satisfaction with postpartum care and the privacy that was preserved by healthcare personnel at health facility. Further the study also confirms the association between patient’s socio-economic characteristics and their satisfaction level.

This is the first study of its kind to highlight the situation of public healthcare system in Bihar, which is the third most populated state in India with poor social and health indicators.

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Are women satisfied with childbirth services provided in public health facilities? Evidence from two districts in Bihar, India10.1108/IJQRM-06-2023-0188International Journal of Quality & Reliability Management2024-03-21© 2024 Emerald Publishing LimitedKumari YouktaRajendra Narayan ParamanikInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-2110.1108/IJQRM-06-2023-0188https://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2023-0188/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Construction of taxonomy of conceptualization of sustainability in improving the industrial production processhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2023-0198/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIndustrialization is a major contributor to pollution and the worsening of some social problems. A change in this context would help in a new industrial model aiming at a viable and sustainable manufacturing system. This research aims to verify the state of the art of sustainability within the industrial production process through a systematic literature review, verifying the main characteristics in relation to industrial sustainability that the literature demonstrates. The development of the research took place in three stages: a survey of articles with Journal Citation Reports (JCR), the construction of the database and descriptive analysis and text mining analyses of social networks and content. The survey took place through academically endorsed research platforms, totaling a total of 352 scientific articles, which included 18 quality management tools and worked with at least one sustainability indicator (financial, social and environmental). Lean manufacturing, integrated management system and Six Sigma were the most cited quality tools, and articles containing the three indicators were found more frequently. It was found that most authors treated sustainability only as an environmental contribution. Knowledge of the organization's structural and management issues is essential for implementing sustainability and production process improvement. This work is the first to develop a systematic analysis regarding the use of sustainability implementation in the industrial production process, considering a wide scope of production process tools, guiding on the characteristics of sustainability relating to the main critical success factors (CSFs), motivations, difficulties and benefits that lead industries in different parts of the world to implement sustainability.Construction of taxonomy of conceptualization of sustainability in improving the industrial production process
Fábio de Oliveira Neves, Eduardo Gomes Salgado, Henrique Ewbank, Paulo Sampaio
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Industrialization is a major contributor to pollution and the worsening of some social problems. A change in this context would help in a new industrial model aiming at a viable and sustainable manufacturing system. This research aims to verify the state of the art of sustainability within the industrial production process through a systematic literature review, verifying the main characteristics in relation to industrial sustainability that the literature demonstrates.

The development of the research took place in three stages: a survey of articles with Journal Citation Reports (JCR), the construction of the database and descriptive analysis and text mining analyses of social networks and content. The survey took place through academically endorsed research platforms, totaling a total of 352 scientific articles, which included 18 quality management tools and worked with at least one sustainability indicator (financial, social and environmental).

Lean manufacturing, integrated management system and Six Sigma were the most cited quality tools, and articles containing the three indicators were found more frequently. It was found that most authors treated sustainability only as an environmental contribution. Knowledge of the organization's structural and management issues is essential for implementing sustainability and production process improvement.

This work is the first to develop a systematic analysis regarding the use of sustainability implementation in the industrial production process, considering a wide scope of production process tools, guiding on the characteristics of sustainability relating to the main critical success factors (CSFs), motivations, difficulties and benefits that lead industries in different parts of the world to implement sustainability.

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Construction of taxonomy of conceptualization of sustainability in improving the industrial production process10.1108/IJQRM-06-2023-0198International Journal of Quality & Reliability Management2023-12-08© 2023 Emerald Publishing LimitedFábio de Oliveira NevesEduardo Gomes SalgadoHenrique EwbankPaulo SampaioInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-12-0810.1108/IJQRM-06-2023-0198https://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2023-0198/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Optimal estimation of reliability parameter for inverse Pareto distribution with application to insurance datahttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2023-0213/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to develop optimal estimation procedures for the stress-strength reliability (SSR) parameter R = P(X > Y) of an inverse Pareto distribution (IPD). We estimate the SSR parameter R = P(X > Y) of the IPD under the minimum risk and bounded risk point estimation problems, where X and Y are strength and stress variables, respectively. The total loss function considered is a combination of estimation error (squared error) and cost, utilizing which we minimize the associated risk in order to estimate the reliability parameter. As no fixed-sample technique can be used to solve the proposed point estimation problems, we propose some “cost and time efficient” adaptive sampling techniques (two-stage and purely sequential sampling methods) to tackle them. We state important results based on the proposed sampling methodologies. These include estimations of the expected sample size, standard deviation (SD) and mean square error (MSE) of the terminal estimator of reliability parameters. The theoretical values of reliability parameters and the associated sample size and risk functions are well supported by exhaustive simulation analyses. The applicability of our suggested methodology is further corroborated by a real dataset based on insurance claims. This study will be useful for scenarios where various logistical concerns are involved in the reliability analysis. The methodologies proposed in this study can reduce the number of sampling operations substantially and save time and cost to a great extent.Optimal estimation of reliability parameter for inverse Pareto distribution with application to insurance data
Neeraj Joshi, Sudeep R. Bapat, Raghu Nandan Sengupta
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to develop optimal estimation procedures for the stress-strength reliability (SSR) parameter R = P(X > Y) of an inverse Pareto distribution (IPD).

We estimate the SSR parameter R = P(X > Y) of the IPD under the minimum risk and bounded risk point estimation problems, where X and Y are strength and stress variables, respectively. The total loss function considered is a combination of estimation error (squared error) and cost, utilizing which we minimize the associated risk in order to estimate the reliability parameter. As no fixed-sample technique can be used to solve the proposed point estimation problems, we propose some “cost and time efficient” adaptive sampling techniques (two-stage and purely sequential sampling methods) to tackle them.

We state important results based on the proposed sampling methodologies. These include estimations of the expected sample size, standard deviation (SD) and mean square error (MSE) of the terminal estimator of reliability parameters. The theoretical values of reliability parameters and the associated sample size and risk functions are well supported by exhaustive simulation analyses. The applicability of our suggested methodology is further corroborated by a real dataset based on insurance claims.

This study will be useful for scenarios where various logistical concerns are involved in the reliability analysis. The methodologies proposed in this study can reduce the number of sampling operations substantially and save time and cost to a great extent.

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Optimal estimation of reliability parameter for inverse Pareto distribution with application to insurance data10.1108/IJQRM-06-2023-0213International Journal of Quality & Reliability Management2024-02-16© 2024 Emerald Publishing LimitedNeeraj JoshiSudeep R. BapatRaghu Nandan SenguptaInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-1610.1108/IJQRM-06-2023-0213https://www.emerald.com/insight/content/doi/10.1108/IJQRM-06-2023-0213/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Supply chain quality management 4.0: conceptual and maturity frameworkshttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2021-0251/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe research objective is rooted in the principle of providing new insights and a collective perspective regarded as Supply Chain Quality Management 4.0 (SCQM4.0), an integration of all three concepts – Industrie 4.0, quality management and supply chain management. A thorough review of historical developments and existing integration trends among Industrie 4.0, quality and supply chain approaches along with future research directions outlined in the main literature, was conducted. This work establishes a knowledge base on research topics, issues of integration and synergies with a concentration on the potential for deeper integration with supply chain operations. This article not only introduced the term SCQM4.0 and proposed a definition for it, but also contributed a novel conceptual SCQM4.0 framework and evolutionary perspective through the SCQM4.0 maturation model. Stemming from the gaps, opportunities and benefits identified in the literature, the conceptual SCQM4.0 framework builds on the high potential of the SCQM4.0 constructs to achieve successful governance and implementation. Under the SCQM4.0 maturity framework, it provides a clear evolutionary path underpinned by the SCQM4.0 constructs. In the effort toward a successful SCQM4.0 implementation, the proposed SCQM4.0 maturity frameworks will be a “road map” for businesses to develop fully and actively in supply chain operations, bringing quality products and services for the company. Industry practitioners are encouraged to perform gap analysis and direct the implementation of the strategy to establish an excellent SCQM4.0. This is one of the pioneering studies integrating all three concepts (Industrie 4.0, quality management and supply chain management), connecting the link and discovering more synergies to support the future development of more holistic management models. SCQM4.0 is expected to expand on the strengths, synergies and established relationships between technologies 4.0, quality and supply chain, contributing toward a pioneering and quality supply chain.Supply chain quality management 4.0: conceptual and maturity frameworks
Loan Thi Cam Bui, Maria Carvalho, Hai Thanh Pham, Tram Thi Bich Nguyen, An Thi Binh Duong, Huy Truong Quang
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The research objective is rooted in the principle of providing new insights and a collective perspective regarded as Supply Chain Quality Management 4.0 (SCQM4.0), an integration of all three concepts – Industrie 4.0, quality management and supply chain management.

A thorough review of historical developments and existing integration trends among Industrie 4.0, quality and supply chain approaches along with future research directions outlined in the main literature, was conducted. This work establishes a knowledge base on research topics, issues of integration and synergies with a concentration on the potential for deeper integration with supply chain operations.

This article not only introduced the term SCQM4.0 and proposed a definition for it, but also contributed a novel conceptual SCQM4.0 framework and evolutionary perspective through the SCQM4.0 maturation model. Stemming from the gaps, opportunities and benefits identified in the literature, the conceptual SCQM4.0 framework builds on the high potential of the SCQM4.0 constructs to achieve successful governance and implementation. Under the SCQM4.0 maturity framework, it provides a clear evolutionary path underpinned by the SCQM4.0 constructs.

In the effort toward a successful SCQM4.0 implementation, the proposed SCQM4.0 maturity frameworks will be a “road map” for businesses to develop fully and actively in supply chain operations, bringing quality products and services for the company. Industry practitioners are encouraged to perform gap analysis and direct the implementation of the strategy to establish an excellent SCQM4.0.

This is one of the pioneering studies integrating all three concepts (Industrie 4.0, quality management and supply chain management), connecting the link and discovering more synergies to support the future development of more holistic management models. SCQM4.0 is expected to expand on the strengths, synergies and established relationships between technologies 4.0, quality and supply chain, contributing toward a pioneering and quality supply chain.

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Supply chain quality management 4.0: conceptual and maturity frameworks10.1108/IJQRM-07-2021-0251International Journal of Quality & Reliability Management2022-06-13© 2022 Emerald Publishing LimitedLoan Thi Cam BuiMaria CarvalhoHai Thanh PhamTram Thi Bich NguyenAn Thi Binh DuongHuy Truong QuangInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2022-06-1310.1108/IJQRM-07-2021-0251https://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2021-0251/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Enhancing the website usage using process mininghttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2022-0211/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAs the number of web applications is increasing day by day web mining acts as an important tool to extract useful information from weblogs and analyse them according to the attributes and predict the usage of a website. The main aim of this paper is to inspect how process mining can be used to predict the web usability of hotel booking sites based on the number of users on each page, and the time of stay of each user. Through this paper, the authors analyse the web usability of a website through process mining by finding the web usability metrics. This work proposes an approach to finding the usage of a website using the attributes available in the weblog which predicts the actual footfall on a website. PROM (Process Mining tool) is used for the analysis of the event log of a hotel booking site. In this work, authors have used a case study to apply the PROM (process mining tool) to pre-process the event log dataset for analysis to discover better-structured process maps than without pre-processing. This article first provided an overview of process mining, then focused on web mining and later discussed process mining techniques. It also described different target languages: system nets (i.e. Petri nets with an initial and a final state), inductive miner and heuristic miner, graphs showing the change in behaviour of the dataset and predicting the outcome, that is the webpage having the maximum number of hits. In this work, a case study has been used to apply the PROM (process mining tool) to pre-process the event log dataset for analysis to discover better-structured process maps than without pre-processing.Enhancing the website usage using process mining
Chetna Choudhary, Deepti Mehrotra, Avinash K. Shrivastava
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

As the number of web applications is increasing day by day web mining acts as an important tool to extract useful information from weblogs and analyse them according to the attributes and predict the usage of a website. The main aim of this paper is to inspect how process mining can be used to predict the web usability of hotel booking sites based on the number of users on each page, and the time of stay of each user. Through this paper, the authors analyse the web usability of a website through process mining by finding the web usability metrics. This work proposes an approach to finding the usage of a website using the attributes available in the weblog which predicts the actual footfall on a website.

PROM (Process Mining tool) is used for the analysis of the event log of a hotel booking site. In this work, authors have used a case study to apply the PROM (process mining tool) to pre-process the event log dataset for analysis to discover better-structured process maps than without pre-processing.

This article first provided an overview of process mining, then focused on web mining and later discussed process mining techniques. It also described different target languages: system nets (i.e. Petri nets with an initial and a final state), inductive miner and heuristic miner, graphs showing the change in behaviour of the dataset and predicting the outcome, that is the webpage having the maximum number of hits.

In this work, a case study has been used to apply the PROM (process mining tool) to pre-process the event log dataset for analysis to discover better-structured process maps than without pre-processing.

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Enhancing the website usage using process mining10.1108/IJQRM-07-2022-0211International Journal of Quality & Reliability Management2023-06-26© 2023 Emerald Publishing LimitedChetna ChoudharyDeepti MehrotraAvinash K. ShrivastavaInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-06-2610.1108/IJQRM-07-2022-0211https://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2022-0211/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Assessment of the factors for the adoption of Internet of things (IoT) in the logistics: a PLS-SEM (partial least squares structural equation modeling) approachhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2022-0228/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to investigate the influence that technological, environmental and organizational factors have on the rate of Internet of Things (IoT) adoption within the logistics industry. In addition, the moderating effect that the risk factor has on the technological, environmental and organizational factors regarding the implementation of IoT in logistics. For the purpose of testing the models and hypotheses, a survey was carried out in order to collect the responses from currently employed individuals at various companies working in the field of logistics or IoT. For the purpose of analysis, the authors made use of the partial least squares structure equation model (PLS-SEM) technique. Findings of this study concluded that technology- and environmental-related factors significantly affect the adoption of IoT in logistics, while risk acts as a moderator for the technological-related factor only in the adoption of IoT in logistics. The relevance of the authors' study lies in the growing importance of IoT in logistics and the need for logistics companies to understand the factors that impact the adoption of IoT in their operations. By identifying and analyzing the factors that influence IoT adoption in logistics, the authors' study provides valuable insights that can help logistics companies make informed decisions about whether and how to adopt IoT. The research will help organizations make strategies for the successful adoption of IoT and ease the lives of all the stakeholders. In this research, the authors attempted to find the factors that influence the adoption of IoT in logistics management. The influence of the technological, environmental, organizational and risk-related factors on the adoption of IoT in logistics management was studied. The moderating effect of risk over these factors on the adoption of IoT in logistics was also analyzed. This is original work and has never been done earlier.Assessment of the factors for the adoption of Internet of things (IoT) in the logistics: a PLS-SEM (partial least squares structural equation modeling) approach
Ankur Kumar, Ambika Srivastava, Subhas C. Misra
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to investigate the influence that technological, environmental and organizational factors have on the rate of Internet of Things (IoT) adoption within the logistics industry. In addition, the moderating effect that the risk factor has on the technological, environmental and organizational factors regarding the implementation of IoT in logistics.

For the purpose of testing the models and hypotheses, a survey was carried out in order to collect the responses from currently employed individuals at various companies working in the field of logistics or IoT. For the purpose of analysis, the authors made use of the partial least squares structure equation model (PLS-SEM) technique.

Findings of this study concluded that technology- and environmental-related factors significantly affect the adoption of IoT in logistics, while risk acts as a moderator for the technological-related factor only in the adoption of IoT in logistics.

The relevance of the authors' study lies in the growing importance of IoT in logistics and the need for logistics companies to understand the factors that impact the adoption of IoT in their operations. By identifying and analyzing the factors that influence IoT adoption in logistics, the authors' study provides valuable insights that can help logistics companies make informed decisions about whether and how to adopt IoT.

The research will help organizations make strategies for the successful adoption of IoT and ease the lives of all the stakeholders.

In this research, the authors attempted to find the factors that influence the adoption of IoT in logistics management. The influence of the technological, environmental, organizational and risk-related factors on the adoption of IoT in logistics management was studied. The moderating effect of risk over these factors on the adoption of IoT in logistics was also analyzed. This is original work and has never been done earlier.

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Assessment of the factors for the adoption of Internet of things (IoT) in the logistics: a PLS-SEM (partial least squares structural equation modeling) approach10.1108/IJQRM-07-2022-0228International Journal of Quality & Reliability Management2023-12-13© 2023 Emerald Publishing LimitedAnkur KumarAmbika SrivastavaSubhas C. MisraInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-12-1310.1108/IJQRM-07-2022-0228https://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2022-0228/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Supply chain risk prioritization: a multi-criteria based Intuitionistic Fuzzy TOPSIS approachhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2023-0214/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIdentifying and prioritizing supply chain risk is significant from any product’s quality and reliability perspective. Under an input-process-output workflow, conventional risk prioritization uses a risk priority number (RPN) aligned to the risk analysis. Imprecise information coupled with a lack of dealing with hesitancy margins enlarges the scope, leading to improper assessment of risks. This significantly affects monitoring quality and performance. Against the backdrop, a methodology that identifies and prioritizes the operational supply chain risk factors signifies better risk assessment. The study proposes a multi-criteria model for risk prioritization involving multiple decision-makers (DMs). The methodology offers a robust, hybrid system based on the Intuitionistic Fuzzy (IF) Set merged with the “Technique for Order Performance by Similarity to Ideal Solution.” The nature of the model is robust. The same is shown by applying fuzzy concepts under multi-criteria decision-making (MCDM) to prioritize the identified business risks for better assessment. The proposed IF Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) for risk prioritization model can improve the decisions within organizations that make up the chains, thus guaranteeing a “better quality in risk management.” Establishing an efficient representation of uncertain information related to traditional failure mode and effects analysis (FMEA) treatment involving multiple DMs means identifying potential risks in advance and providing better supply chain control. In a company’s supply chain, blockchain allows data storage and transparent transmission of flows with traceability, privacy, security and transparency (Roy et al., 2022). They asserted that blockchain technology has great potential for traceability. Since risk assessment in supply chain operations can be treated as a traceability problem, further research is needed to use blockchain technologies. Lastly, issues like risk will be better assessed if predicted well; further research demands the suitability of applying predictive analysis on risk. The study proposes a hybrid framework based on the generic risk assessment and MCDM methodologies under a fuzzy environment system. By this, the authors try to address the supply chain risk assessment and mitigation framework better than the conventional one. To the best of their knowledge, no study is found in existing literature attempting to explore the efficacy of the proposed hybrid approach over the traditional RPN system in prime sectors like steel (with production planning data). The validation experiment indicates the effectiveness of the results obtained from the proposed IF TOPSIS Approach to Risk Prioritization methodology is more practical and resembles the actual scenario compared to those obtained using the traditional RPN system (Kim et al., 2018; Kumar et al., 2018). This study provides mathematical models to simulate the supply chain risk assessment, thus helping the manufacturer rank the risk level. In the end, the authors apply this model in a big-sized organization to validate its accuracy. The authors validate the proposed approach to an integrated steel plant impacting the production planning process. The model’s outcome substantially adds value to the current risk assessment and prioritization, significantly affecting better risk management quality.Supply chain risk prioritization: a multi-criteria based Intuitionistic Fuzzy TOPSIS approach
Swarup Mukherjee, Anupam De, Supriyo Roy
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Identifying and prioritizing supply chain risk is significant from any product’s quality and reliability perspective. Under an input-process-output workflow, conventional risk prioritization uses a risk priority number (RPN) aligned to the risk analysis. Imprecise information coupled with a lack of dealing with hesitancy margins enlarges the scope, leading to improper assessment of risks. This significantly affects monitoring quality and performance. Against the backdrop, a methodology that identifies and prioritizes the operational supply chain risk factors signifies better risk assessment.

The study proposes a multi-criteria model for risk prioritization involving multiple decision-makers (DMs). The methodology offers a robust, hybrid system based on the Intuitionistic Fuzzy (IF) Set merged with the “Technique for Order Performance by Similarity to Ideal Solution.” The nature of the model is robust. The same is shown by applying fuzzy concepts under multi-criteria decision-making (MCDM) to prioritize the identified business risks for better assessment.

The proposed IF Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) for risk prioritization model can improve the decisions within organizations that make up the chains, thus guaranteeing a “better quality in risk management.” Establishing an efficient representation of uncertain information related to traditional failure mode and effects analysis (FMEA) treatment involving multiple DMs means identifying potential risks in advance and providing better supply chain control.

In a company’s supply chain, blockchain allows data storage and transparent transmission of flows with traceability, privacy, security and transparency (Roy et al., 2022). They asserted that blockchain technology has great potential for traceability. Since risk assessment in supply chain operations can be treated as a traceability problem, further research is needed to use blockchain technologies. Lastly, issues like risk will be better assessed if predicted well; further research demands the suitability of applying predictive analysis on risk.

The study proposes a hybrid framework based on the generic risk assessment and MCDM methodologies under a fuzzy environment system. By this, the authors try to address the supply chain risk assessment and mitigation framework better than the conventional one. To the best of their knowledge, no study is found in existing literature attempting to explore the efficacy of the proposed hybrid approach over the traditional RPN system in prime sectors like steel (with production planning data). The validation experiment indicates the effectiveness of the results obtained from the proposed IF TOPSIS Approach to Risk Prioritization methodology is more practical and resembles the actual scenario compared to those obtained using the traditional RPN system (Kim et al., 2018; Kumar et al., 2018).

This study provides mathematical models to simulate the supply chain risk assessment, thus helping the manufacturer rank the risk level. In the end, the authors apply this model in a big-sized organization to validate its accuracy. The authors validate the proposed approach to an integrated steel plant impacting the production planning process. The model’s outcome substantially adds value to the current risk assessment and prioritization, significantly affecting better risk management quality.

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Supply chain risk prioritization: a multi-criteria based Intuitionistic Fuzzy TOPSIS approach10.1108/IJQRM-07-2023-0214International Journal of Quality & Reliability Management2024-02-05© 2024 Emerald Publishing LimitedSwarup MukherjeeAnupam DeSupriyo RoyInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-0510.1108/IJQRM-07-2023-0214https://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2023-0214/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Barriers to Industry 4.0 technology adoption in agricultural supply chains: a Fuzzy Delphi-ISM approachhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2023-0222/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to identify and analyze the barriers associated with the adoption of Industry 4.0 technologies in agricultural supply chains. The study initially identified thirteen barriers by conducting a literature review and semi-structured interviews with key stakeholders. Subsequently, these barriers were validated and modeled using an integrated Fuzzy Delphi-ISM approach. Finally, MICMAC analysis was employed to categorize the barriers into distinct clusters. The results provide considerable insights into the hierarchical structure and complex interrelationships between the barriers as well the driving and dependence power of barriers. Lack of information about technologies and lack of compatibility with traditional methods emerged as the two main barriers which directly and indirectly influence the other ones. The robust hybrid Fuzzy Delphi and ISM techniques used in this study can serve as a useful model and benchmark for similar studies probing the barriers to Industry 4.0 adoption. From a theoretical standpoint, this study expands the scope of institutional theory in explaining Industry 4.0 adoption barriers. The study is timely for the post-COVID-19 recovery and growth of the agricultural sector. The findings are helpful for policymakers and agriculture supply chain stakeholders in devising new strategies and policy interventions to prioritize and address Industry 4.0 adoption barriers. It is the first comprehensive, multi-country and multi-method empirical study to comprehensively identify and model barriers to Industry 4.0 adoption in agricultural supply chains in emerging economies.Barriers to Industry 4.0 technology adoption in agricultural supply chains: a Fuzzy Delphi-ISM approach
Janya Chanchaichujit, Sreejith Balasubramanian, Vinaya Shukla
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to identify and analyze the barriers associated with the adoption of Industry 4.0 technologies in agricultural supply chains.

The study initially identified thirteen barriers by conducting a literature review and semi-structured interviews with key stakeholders. Subsequently, these barriers were validated and modeled using an integrated Fuzzy Delphi-ISM approach. Finally, MICMAC analysis was employed to categorize the barriers into distinct clusters.

The results provide considerable insights into the hierarchical structure and complex interrelationships between the barriers as well the driving and dependence power of barriers. Lack of information about technologies and lack of compatibility with traditional methods emerged as the two main barriers which directly and indirectly influence the other ones.

The robust hybrid Fuzzy Delphi and ISM techniques used in this study can serve as a useful model and benchmark for similar studies probing the barriers to Industry 4.0 adoption. From a theoretical standpoint, this study expands the scope of institutional theory in explaining Industry 4.0 adoption barriers.

The study is timely for the post-COVID-19 recovery and growth of the agricultural sector. The findings are helpful for policymakers and agriculture supply chain stakeholders in devising new strategies and policy interventions to prioritize and address Industry 4.0 adoption barriers.

It is the first comprehensive, multi-country and multi-method empirical study to comprehensively identify and model barriers to Industry 4.0 adoption in agricultural supply chains in emerging economies.

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Barriers to Industry 4.0 technology adoption in agricultural supply chains: a Fuzzy Delphi-ISM approach10.1108/IJQRM-07-2023-0222International Journal of Quality & Reliability Management2024-02-29© 2024 Emerald Publishing LimitedJanya ChanchaichujitSreejith BalasubramanianVinaya ShuklaInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-2910.1108/IJQRM-07-2023-0222https://www.emerald.com/insight/content/doi/10.1108/IJQRM-07-2023-0222/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
An optimal software enhancement and customer growth model: a control-theoretic approachhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0240/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestRecently, the popularity of software has grown significantly in the market. Enhancement of software is needed to decrease the burden of getting high-quality and reliable software. To achieve this, the software is upgraded by adding new features to the previous version. Therefore, adding new features in the last version to be consistent with the earlier version is challenging. This paper aims to discuss the optimal software enhancement and customer growth model. This paper discusses a model when new features are added to the software, and the customers' adoption of the software is presented as a customer growth model. An optimal control problem is introduced to maximize the profit obtained from the software system over the system's lifetime period. Total gain is calculated by the value generated from selling the software over the total expenditure during the software development process. The closed-form solution and some theoretical results are presented using the optimal control-theoretic approach. The theoretical results are supported by a numerical example. This paper gives several substantive insights during sensitivity analysis and provides essential results. The results discussed here are compatible with the actual scenario and useful in software enhancement. The authors have proposed a new feature growth and customer growth model to maximize the total profit using optimal control theory.An optimal software enhancement and customer growth model: a control-theoretic approach
Sujit K. Pradhan, Anil Kumar, Vijay Kumar
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Recently, the popularity of software has grown significantly in the market. Enhancement of software is needed to decrease the burden of getting high-quality and reliable software. To achieve this, the software is upgraded by adding new features to the previous version. Therefore, adding new features in the last version to be consistent with the earlier version is challenging. This paper aims to discuss the optimal software enhancement and customer growth model.

This paper discusses a model when new features are added to the software, and the customers' adoption of the software is presented as a customer growth model. An optimal control problem is introduced to maximize the profit obtained from the software system over the system's lifetime period. Total gain is calculated by the value generated from selling the software over the total expenditure during the software development process. The closed-form solution and some theoretical results are presented using the optimal control-theoretic approach. The theoretical results are supported by a numerical example.

This paper gives several substantive insights during sensitivity analysis and provides essential results. The results discussed here are compatible with the actual scenario and useful in software enhancement.

The authors have proposed a new feature growth and customer growth model to maximize the total profit using optimal control theory.

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An optimal software enhancement and customer growth model: a control-theoretic approach10.1108/IJQRM-08-2022-0240International Journal of Quality & Reliability Management2023-03-21© 2023 Emerald Publishing LimitedSujit K. PradhanAnil KumarVijay KumarInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-03-2110.1108/IJQRM-08-2022-0240https://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0240/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A hybrid framework for fleet management with quality concerns: a case for the food industryhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0241/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the study is to propose a framework for fleet management and make suitable distribution solution choices in the food industry. This study reviews the literature to examine food distribution criteria. These criteria are used in the analytic hierarchy process (AHP) assessment and combined with discrete events simulation in a structured framework, which is validated through an empirical study. The empirical case results demonstrate that both the AHP and discrete events simulation converge toward the same solution in most cases. This study contributes to the literature on distribution management and develops a framework that can both guide future research and aid logistics practitioners in analysing distribution decision-making systems in dynamic environments.A hybrid framework for fleet management with quality concerns: a case for the food industry
Naila Fares, Jaime Lloret, Vikas Kumar, Guilherme F. Frederico, Oulaid Kamach
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the study is to propose a framework for fleet management and make suitable distribution solution choices in the food industry.

This study reviews the literature to examine food distribution criteria. These criteria are used in the analytic hierarchy process (AHP) assessment and combined with discrete events simulation in a structured framework, which is validated through an empirical study.

The empirical case results demonstrate that both the AHP and discrete events simulation converge toward the same solution in most cases.

This study contributes to the literature on distribution management and develops a framework that can both guide future research and aid logistics practitioners in analysing distribution decision-making systems in dynamic environments.

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A hybrid framework for fleet management with quality concerns: a case for the food industry10.1108/IJQRM-08-2022-0241International Journal of Quality & Reliability Management2023-05-16© 2023 Emerald Publishing LimitedNaila FaresJaime LloretVikas KumarGuilherme F. FredericoOulaid KamachInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-05-1610.1108/IJQRM-08-2022-0241https://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0241/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
COVID-19: a Kano model and AHP-based classification of preventive activities under Fuzzy environmenthttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0243/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe aim of the present work is to develop a method to find the preventive measures for COVID-19 and their priorities. These preventive measures are prioritized according to the expert opinion. An integrated method using the Kano model and Fuzzy-AHP is used to achieve the study objectives. First, the preventive measures are identified according to the expert. Next, the Kano model is used to determine the different Kano categories for remedial activities that are identified by the World Health Organization (WHO) and other medical authorities. Finally, Fuzzy-AHP is applied to determine the weights of these activities and assign the priorities according to their impact. It is observed that the activity Avoid Travelling is the most important classification or category with the highest weight as compared to the other activities and sub-activities. It is also noticed that the category packed food items get the lowest weight and is the least important classification or category. In this work, two different approaches, designed for different purposes, provide similar results and verify each other. Research contributing to the classification and prioritization of preventive activities using Kano and Fuzzy-AHP methods is not available. In the critical time of COVID-19, when governments are obliged to deal with many infected patients and a high number of deaths, one can focus on different preventive activities according to their classification, weights and ranks.COVID-19: a Kano model and AHP-based classification of preventive activities under Fuzzy environment
Shwetank Avikal, Rohit Singh, Anurag Barthwal, Mangey Ram
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The aim of the present work is to develop a method to find the preventive measures for COVID-19 and their priorities. These preventive measures are prioritized according to the expert opinion.

An integrated method using the Kano model and Fuzzy-AHP is used to achieve the study objectives. First, the preventive measures are identified according to the expert. Next, the Kano model is used to determine the different Kano categories for remedial activities that are identified by the World Health Organization (WHO) and other medical authorities. Finally, Fuzzy-AHP is applied to determine the weights of these activities and assign the priorities according to their impact.

It is observed that the activity Avoid Travelling is the most important classification or category with the highest weight as compared to the other activities and sub-activities. It is also noticed that the category packed food items get the lowest weight and is the least important classification or category. In this work, two different approaches, designed for different purposes, provide similar results and verify each other.

Research contributing to the classification and prioritization of preventive activities using Kano and Fuzzy-AHP methods is not available. In the critical time of COVID-19, when governments are obliged to deal with many infected patients and a high number of deaths, one can focus on different preventive activities according to their classification, weights and ranks.

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COVID-19: a Kano model and AHP-based classification of preventive activities under Fuzzy environment10.1108/IJQRM-08-2022-0243International Journal of Quality & Reliability Management2023-07-14© 2023 Emerald Publishing LimitedShwetank AvikalRohit SinghAnurag BarthwalMangey RamInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-07-1410.1108/IJQRM-08-2022-0243https://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0243/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Impact of code smells on software development environments: a study based on ENTROPY-CODAS methodhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0254/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe relationship between the various existing smell taxonomies and the smell impacting factors has been established. The ideology is to identify the most critical smell influencing factors in the vicinity of various software development environments. To fulfill the said task, the utilization of the amalgamation of two multicriteria decision-making techniques, namely, Entropy method and CODAS method, is presented. Through this article, the most critical smell impacting criteria with respect to the smell taxonomies is identified. Furthermore, the behaviour of 4 software development principles was then analysed, and their working state has been successfully assessed. The ideology to study design-related smells in the software system has been studied by a lot of researchers. Some of them have worked upon their detection and the corresponding refactoration process with the help of several algorithms like machine learning and artificial intelligence. But how and to what extent these design-related smells impact the software development environment has remained out of the limelight till now. Through this article, this research gap has been identified, and an attempt to fill it has been made.Impact of code smells on software development environments: a study based on ENTROPY-CODAS method
Adarsh Anand, Priyanka Gupta, Yoshinobu Tamura, Ljubisa Papic
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The relationship between the various existing smell taxonomies and the smell impacting factors has been established. The ideology is to identify the most critical smell influencing factors in the vicinity of various software development environments.

To fulfill the said task, the utilization of the amalgamation of two multicriteria decision-making techniques, namely, Entropy method and CODAS method, is presented.

Through this article, the most critical smell impacting criteria with respect to the smell taxonomies is identified. Furthermore, the behaviour of 4 software development principles was then analysed, and their working state has been successfully assessed.

The ideology to study design-related smells in the software system has been studied by a lot of researchers. Some of them have worked upon their detection and the corresponding refactoration process with the help of several algorithms like machine learning and artificial intelligence. But how and to what extent these design-related smells impact the software development environment has remained out of the limelight till now. Through this article, this research gap has been identified, and an attempt to fill it has been made.

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Impact of code smells on software development environments: a study based on ENTROPY-CODAS method10.1108/IJQRM-08-2022-0254International Journal of Quality & Reliability Management2023-04-04© 2023 Emerald Publishing LimitedAdarsh AnandPriyanka GuptaYoshinobu TamuraLjubisa PapicInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-04-0410.1108/IJQRM-08-2022-0254https://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0254/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
On the nature of supply chain reliability: models, solution approaches and agenda for future researchhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0256/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research aims to update the literature about the importance of reliability in supply chain (SC) and to find out the SC determinants. This research surveys while contributing to the academic grasp of supply chain reliability (SCR) concepts. The study found 45 peer-reviewed publications using a structured survey technique with a four-step filtering process. The filtering process includes data reduction processes such as an evaluation of abstract and conclusion. The filtered study focuses on SCR and its determinants. One of the major findings is that most of the study has focused on mathematical and conceptual studies. Also, this study provides the answer to a question like how can reliability be better accepted and evolved within the SC after finding the determinants of SCR. The observed methodological gap in understanding and development of SCR was identified and classified into three categories: mathematical, conceptual and empirical studies (case studies and survey’s mainly). This research will aid academics in developing and understanding the determinants of SCR.On the nature of supply chain reliability: models, solution approaches and agenda for future research
Devesh Kumar, Gunjan Soni, Yigit Kazancoglu, Ajay Pal Singh Rathore
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research aims to update the literature about the importance of reliability in supply chain (SC) and to find out the SC determinants.

This research surveys while contributing to the academic grasp of supply chain reliability (SCR) concepts. The study found 45 peer-reviewed publications using a structured survey technique with a four-step filtering process. The filtering process includes data reduction processes such as an evaluation of abstract and conclusion. The filtered study focuses on SCR and its determinants.

One of the major findings is that most of the study has focused on mathematical and conceptual studies. Also, this study provides the answer to a question like how can reliability be better accepted and evolved within the SC after finding the determinants of SCR.

The observed methodological gap in understanding and development of SCR was identified and classified into three categories: mathematical, conceptual and empirical studies (case studies and survey’s mainly). This research will aid academics in developing and understanding the determinants of SCR.

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On the nature of supply chain reliability: models, solution approaches and agenda for future research10.1108/IJQRM-08-2022-0256International Journal of Quality & Reliability Management2023-06-02© 2023 Emerald Publishing LimitedDevesh KumarGunjan SoniYigit KazancogluAjay Pal Singh RathoreInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-06-0210.1108/IJQRM-08-2022-0256https://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0256/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Generalized new exponentially weighted moving average control charts (NEWMA) for monitoring process dispersionhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0257/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis work aims to focuse on improving the performance of the new exponentially weighted moving average (NEWMA) scheme for monitoring process dispersion. The authors use the generalized time-varying fast initial response (GFIR) to further enhance the detection ability of variability NEWMA control charts at the process startup. The performance of the proposed chart and other schemes discussed in this article are evaluated; and compared using the average run length (ARL) and standard deviation run length (SDRL) measures. It is observed that the ARL of the proposed scheme is quicker in detecting small and moderate shifts in the process dispersion than its counterparts. The real-life application of the proposed scheme is presented. The dynamic parameter of GFIR is used to enhance the detection ability of variability NEWMA control charts. The authors apply GFIR to the control limit of variability NEWMA scheme. This further narrows the control limit, hence enabling it to swiftly detect small and moderate changes in process dispersion. The authors present the performance comparisons by examining the ARL properties of the proposed chart and its counterparts. The performance comparison shows that the proposed chart is highly sensitive in detecting small and intermediate process shifts. The real-life application presented also supports the study’s conclusion from the simulation studies. The performance comparison of the proposed chart and its counterparts shows that the proposed scheme is efficient in detecting process abnormalities, especially at the startup. In terms of the control limits, the proposed chart is the generalized variability NEWMA control chart in which all the previously proposed NEWMA variant schemes can be obtained. Also, the newly proposed control scheme is more efficient in detecting small or moderate persistent shifts in the process dispersion.Generalized new exponentially weighted moving average control charts (NEWMA) for monitoring process dispersion
Ganiyu Ayodele Ajibade, Jimoh Olawale Ajadi, Olusola John Kuboye, Ekele Alih
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This work aims to focuse on improving the performance of the new exponentially weighted moving average (NEWMA) scheme for monitoring process dispersion. The authors use the generalized time-varying fast initial response (GFIR) to further enhance the detection ability of variability NEWMA control charts at the process startup. The performance of the proposed chart and other schemes discussed in this article are evaluated; and compared using the average run length (ARL) and standard deviation run length (SDRL) measures. It is observed that the ARL of the proposed scheme is quicker in detecting small and moderate shifts in the process dispersion than its counterparts. The real-life application of the proposed scheme is presented.

The dynamic parameter of GFIR is used to enhance the detection ability of variability NEWMA control charts. The authors apply GFIR to the control limit of variability NEWMA scheme. This further narrows the control limit, hence enabling it to swiftly detect small and moderate changes in process dispersion.

The authors present the performance comparisons by examining the ARL properties of the proposed chart and its counterparts. The performance comparison shows that the proposed chart is highly sensitive in detecting small and intermediate process shifts. The real-life application presented also supports the study’s conclusion from the simulation studies. The performance comparison of the proposed chart and its counterparts shows that the proposed scheme is efficient in detecting process abnormalities, especially at the startup.

In terms of the control limits, the proposed chart is the generalized variability NEWMA control chart in which all the previously proposed NEWMA variant schemes can be obtained. Also, the newly proposed control scheme is more efficient in detecting small or moderate persistent shifts in the process dispersion.

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Generalized new exponentially weighted moving average control charts (NEWMA) for monitoring process dispersion10.1108/IJQRM-08-2022-0257International Journal of Quality & Reliability Management2023-04-10© 2023 Emerald Publishing LimitedGaniyu Ayodele AjibadeJimoh Olawale AjadiOlusola John KuboyeEkele AlihInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-04-1010.1108/IJQRM-08-2022-0257https://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0257/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Smart technologies for collection and classification of electronic wastehttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0259/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe main aim of this study is to understand the role of smart technologies and show the rankings of various smart technologies in collection and classification of electronic waste (e-waste). This study presents a framework integrating the concepts of collection and classification mechanisms and smart technologies. The criteria set includes three main, which are economic, social and environmental criteria, including a total of 15 subcriteria. Smart technologies identified in this study were robotics, multiagent systems, autonomous tools, smart vehicles, data-driven technologies, Internet of things (IOT), cloud computing and big data analytics. The weights of all criteria were found using fuzzy analytic network process (ANP), and the scores of smart technologies which were useful for collection and classification of e-waste were calculated using fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). The most important criterion was found as collection cost, followed by pollution prevention and control, storage/holding cost and greenhouse gas emissions in collection and classification of e-waste. Autonomous tools were found as the best smart technology for collection and classification of e-waste, followed by robotics and smart vehicles. The originality of the study is to propose a framework, which integrates the collection and classification of e-waste and smart technologies.Smart technologies for collection and classification of electronic waste
Erhan Ada, Halil Kemal Ilter, Muhittin Sagnak, Yigit Kazancoglu
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The main aim of this study is to understand the role of smart technologies and show the rankings of various smart technologies in collection and classification of electronic waste (e-waste).

This study presents a framework integrating the concepts of collection and classification mechanisms and smart technologies. The criteria set includes three main, which are economic, social and environmental criteria, including a total of 15 subcriteria. Smart technologies identified in this study were robotics, multiagent systems, autonomous tools, smart vehicles, data-driven technologies, Internet of things (IOT), cloud computing and big data analytics. The weights of all criteria were found using fuzzy analytic network process (ANP), and the scores of smart technologies which were useful for collection and classification of e-waste were calculated using fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR).

The most important criterion was found as collection cost, followed by pollution prevention and control, storage/holding cost and greenhouse gas emissions in collection and classification of e-waste. Autonomous tools were found as the best smart technology for collection and classification of e-waste, followed by robotics and smart vehicles.

The originality of the study is to propose a framework, which integrates the collection and classification of e-waste and smart technologies.

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Smart technologies for collection and classification of electronic waste10.1108/IJQRM-08-2022-0259International Journal of Quality & Reliability Management2023-01-10© 2022 Emerald Publishing LimitedErhan AdaHalil Kemal IlterMuhittin SagnakYigit KazancogluInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-01-1010.1108/IJQRM-08-2022-0259https://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2022-0259/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Professional perceptions of right-first-time and quality management in construction projects through open-ended feedbackhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2023-0246/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe construction industry has struggled to deliver schemes on time to budget and right-first-time (RFT). There have been many studies into nonconformance and rework through quantitative research over the years to understand why the industry continues to see similar issues of failure. Some scholars have reported rework figures as high as 12.6% of total contract value, highlighting major concerns of the sustainability of construction projects. Separately, however, there have been few studies that explore and detail the views of industry professions who are caught in the middle of quality issues, to understand their perceptions of where the industry is failing. As such, this paper interrogates qualitative data (open-ended questions) on the topic of nonconformance and rework in construction to understand what industry professionals believe are the causes and suggested improvement areas. A qualitative approach is adopted for this research. An industry survey consisting of seven open-ended questions is presented to two professional working groups within a Tier 1 contractor, and outputs are analysed using statistic software (NVivo 12) to identify prominent themes for discussion. Inductive analysis is undertaken to gain further insight into responses to yield recurrent areas for continuous improvement. Qualitative analysis of the survey reveals a persistent prioritisation of cost and programme over quality management in construction project. Furthermore, feedback from construction professionals present a number of improvement areas that must be addressed to improve quality. These include increased training and competency investment, overhauling quality behaviours, providing greater quality leadership direction and reshaping the way clients govern schemes. There are limitations to this paper that require noting. Firstly, the survey was conducted within one principal contractor with varying levels of knowledge across multiple sectors. Secondly, the case study was from one major highways scheme; therefore, the generalisability of the findings is limited. It is suggested that a similar exercise is undertaken in other sectors to uncover similar improvement avenues. The implications of this study calls for quality to be re-evaluated at project, company, sector and government levels to overhaul how quality is delivered. Furthermore, the paper identifies critical learning outcomes for the construction sector to take forward, including the need to reassess projects to ensure they are appropriately equip with competent personnel under a vetted, progressive training programme, share collaborative behaviours that value quality delivery on an equal standing to safety, programme and cost and tackle the inappropriate resource dilemmas projects finding themselves in through clear tendering and accurate planning. In addition, before making erratic decisions, projects must assess the risk profiling of proceed without approved design details and include the client in the decision-making process. Moreover, the findings call for a greater collaborative environment between the construction team and quality management department, rather than being seen as obstructive (i.e. compliance based policing). All of these must be driven by leadership to overhaul the way quality is managed on schemes. The findings demonstrate the importance and impact from open-ended survey response data studies to enhance quantitative outcomes and help provide strengthened proposals of improvement. This paper addresses the highly sensitive area of quality failure outcomes and interrogates them via an industry survey within a major UK contractor for feedback. Unique insights are gained into how industry professionals perceive quality in construction. From previous research, this has been largely missing and offers a valuable addition in understanding the “quality status quo” from those delivering schemes.Professional perceptions of right-first-time and quality management in construction projects through open-ended feedback
Gavin Ford, Jonathan Gosling
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The construction industry has struggled to deliver schemes on time to budget and right-first-time (RFT). There have been many studies into nonconformance and rework through quantitative research over the years to understand why the industry continues to see similar issues of failure. Some scholars have reported rework figures as high as 12.6% of total contract value, highlighting major concerns of the sustainability of construction projects. Separately, however, there have been few studies that explore and detail the views of industry professions who are caught in the middle of quality issues, to understand their perceptions of where the industry is failing. As such, this paper interrogates qualitative data (open-ended questions) on the topic of nonconformance and rework in construction to understand what industry professionals believe are the causes and suggested improvement areas.

A qualitative approach is adopted for this research. An industry survey consisting of seven open-ended questions is presented to two professional working groups within a Tier 1 contractor, and outputs are analysed using statistic software (NVivo 12) to identify prominent themes for discussion. Inductive analysis is undertaken to gain further insight into responses to yield recurrent areas for continuous improvement.

Qualitative analysis of the survey reveals a persistent prioritisation of cost and programme over quality management in construction project. Furthermore, feedback from construction professionals present a number of improvement areas that must be addressed to improve quality. These include increased training and competency investment, overhauling quality behaviours, providing greater quality leadership direction and reshaping the way clients govern schemes.

There are limitations to this paper that require noting. Firstly, the survey was conducted within one principal contractor with varying levels of knowledge across multiple sectors. Secondly, the case study was from one major highways scheme; therefore, the generalisability of the findings is limited. It is suggested that a similar exercise is undertaken in other sectors to uncover similar improvement avenues.

The implications of this study calls for quality to be re-evaluated at project, company, sector and government levels to overhaul how quality is delivered. Furthermore, the paper identifies critical learning outcomes for the construction sector to take forward, including the need to reassess projects to ensure they are appropriately equip with competent personnel under a vetted, progressive training programme, share collaborative behaviours that value quality delivery on an equal standing to safety, programme and cost and tackle the inappropriate resource dilemmas projects finding themselves in through clear tendering and accurate planning. In addition, before making erratic decisions, projects must assess the risk profiling of proceed without approved design details and include the client in the decision-making process. Moreover, the findings call for a greater collaborative environment between the construction team and quality management department, rather than being seen as obstructive (i.e. compliance based policing). All of these must be driven by leadership to overhaul the way quality is managed on schemes. The findings demonstrate the importance and impact from open-ended survey response data studies to enhance quantitative outcomes and help provide strengthened proposals of improvement.

This paper addresses the highly sensitive area of quality failure outcomes and interrogates them via an industry survey within a major UK contractor for feedback. Unique insights are gained into how industry professionals perceive quality in construction. From previous research, this has been largely missing and offers a valuable addition in understanding the “quality status quo” from those delivering schemes.

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Professional perceptions of right-first-time and quality management in construction projects through open-ended feedback10.1108/IJQRM-08-2023-0246International Journal of Quality & Reliability Management2024-03-26© 2024 Emerald Publishing LimitedGavin FordJonathan GoslingInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-2610.1108/IJQRM-08-2023-0246https://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2023-0246/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Mapping the research field on product quality: a bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2023-0259/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research intends to undertake a rigorous bibliometric analysis of product quality research trends and patterns, map the intellectual and social structure of the field, identify the predominant themes and propose a transition plan for future work in this discipline. The procedure was carried out in a step-by-step manner. Following a specified search string, Scopus retrieved 1454 journal articles from the previous 39 years (1984–2022). To comprehend the field’s base, various techniques of performance analysis and science mapping were employed using RStudio and VOSviewer. In light of the results, both the volume and influence of product quality studies have surged over the past four decades, with most works appearing in prestigious academic journals. A number of cross-country product quality collaborations took place in nations with little geographic, historical, or cultural proximity. Using co-citation analysis, five distinct subfields were identified within the literature on product quality. Finally, the use of co-word analysis helps understand the field’s underlying themes and concludes with a set of potential research avenues built on a content analysis of the articles from each of the five subfields. To the authors' understanding, this study represents a pioneering effort to examine the research field on product quality using bibliometric analysis. Notwithstanding being rooted in scientometrics, this research’s outcomes are instructive for practitioners, academics and aspiring researchers in the field.Mapping the research field on product quality: a bibliometric analysis
Mikul Mikul, Ishwar Mittal
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research intends to undertake a rigorous bibliometric analysis of product quality research trends and patterns, map the intellectual and social structure of the field, identify the predominant themes and propose a transition plan for future work in this discipline.

The procedure was carried out in a step-by-step manner. Following a specified search string, Scopus retrieved 1454 journal articles from the previous 39 years (1984–2022). To comprehend the field’s base, various techniques of performance analysis and science mapping were employed using RStudio and VOSviewer.

In light of the results, both the volume and influence of product quality studies have surged over the past four decades, with most works appearing in prestigious academic journals. A number of cross-country product quality collaborations took place in nations with little geographic, historical, or cultural proximity. Using co-citation analysis, five distinct subfields were identified within the literature on product quality. Finally, the use of co-word analysis helps understand the field’s underlying themes and concludes with a set of potential research avenues built on a content analysis of the articles from each of the five subfields.

To the authors' understanding, this study represents a pioneering effort to examine the research field on product quality using bibliometric analysis. Notwithstanding being rooted in scientometrics, this research’s outcomes are instructive for practitioners, academics and aspiring researchers in the field.

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Mapping the research field on product quality: a bibliometric analysis10.1108/IJQRM-08-2023-0259International Journal of Quality & Reliability Management2024-02-06© 2024 Emerald Publishing LimitedMikul MikulIshwar MittalInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-0610.1108/IJQRM-08-2023-0259https://www.emerald.com/insight/content/doi/10.1108/IJQRM-08-2023-0259/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Assessing resilience in mechanical systems: an industrial perspectivehttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-09-2022-0271/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestResilience as a novel concept has attracted the most attention in the management of engineering systems. The main goal of engineering systems is production assurance and increasing customer satisfaction which depends on the suitable performance of mechanical equipment. “A resilient system is defined as a system that is resistant to disruption and failures and can recover itself and returns to the state before failure as soon as possible in the case of failure.” Estimate the value of the system’s resilience to increase its resilience by covering the weakness in the resilience indexes of the system. In this article, a suitable approach to estimating resilience in complex engineering systems management in the field of mining has been presented. Accordingly, indexes of reliability, maintainability, supportability, efficiency index of prognostics and health management of the system, and ultimately the organization resilience index, have been used to evaluate the system resilience. The results of applying this approach indicate the value of 80% resilience if the risk factor is considered and 98% if the mentioned factors are ignored. Also, the value of 58% resilience of this organization’s management group indicates the weakness of situational awareness and weakness in the vulnerable points of the organization. To evaluate the resilience in this article, five indicators of reliability, maintainability, and supportability are used as performance indicators. Also, organization resilience and the prognostic and health management of the system (PHM) are used as management indicators. To achieve more favorable results, the environmental and operational variables governing the system have been used in performance indicators, and expert experts' opinions have been used in management indicators.Assessing resilience in mechanical systems: an industrial perspective
Ali Rahimazar, Ali Nouri Qarahasanlou, Dina Khanzadeh, Milad Tavaghi
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Resilience as a novel concept has attracted the most attention in the management of engineering systems. The main goal of engineering systems is production assurance and increasing customer satisfaction which depends on the suitable performance of mechanical equipment. “A resilient system is defined as a system that is resistant to disruption and failures and can recover itself and returns to the state before failure as soon as possible in the case of failure.” Estimate the value of the system’s resilience to increase its resilience by covering the weakness in the resilience indexes of the system.

In this article, a suitable approach to estimating resilience in complex engineering systems management in the field of mining has been presented. Accordingly, indexes of reliability, maintainability, supportability, efficiency index of prognostics and health management of the system, and ultimately the organization resilience index, have been used to evaluate the system resilience.

The results of applying this approach indicate the value of 80% resilience if the risk factor is considered and 98% if the mentioned factors are ignored. Also, the value of 58% resilience of this organization’s management group indicates the weakness of situational awareness and weakness in the vulnerable points of the organization.

To evaluate the resilience in this article, five indicators of reliability, maintainability, and supportability are used as performance indicators. Also, organization resilience and the prognostic and health management of the system (PHM) are used as management indicators. To achieve more favorable results, the environmental and operational variables governing the system have been used in performance indicators, and expert experts' opinions have been used in management indicators.

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Assessing resilience in mechanical systems: an industrial perspective10.1108/IJQRM-09-2022-0271International Journal of Quality & Reliability Management2024-03-12© 2024 Emerald Publishing LimitedAli RahimazarAli Nouri QarahasanlouDina KhanzadehMilad TavaghiInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-1210.1108/IJQRM-09-2022-0271https://www.emerald.com/insight/content/doi/10.1108/IJQRM-09-2022-0271/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Investigating the barriers to Quality 4.0 adoption in the Indian manufacturing sector: insights and implications for industry and policy-makinghttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-09-2023-0277/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe research explores the shift to Quality 4.0, examining the move towards a data-focussed transformation within organizational frameworks. This transition is characterized by incorporating Industry 4.0 technological innovations into existing quality management frameworks, signifying a significant evolution in quality control systems. Despite the evident advantages, the practical deployment in the Indian manufacturing sector encounters various obstacles. This research is dedicated to a thorough examination of these impediments. It is structured around a set of pivotal research questions: First, it seeks to identify the key barriers that impede the adoption of Quality 4.0. Second, it aims to elucidate these barriers' interrelations and mutual dependencies. Thirdly, the research prioritizes these barriers in terms of their significance to the adoption process. Finally, it contemplates the ramifications of these priorities for the strategic advancement of manufacturing practices and the development of informed policies. By answering these questions, the research provides a detailed understanding of the challenges faced. It offers actionable insights for practitioners and policymakers implementing Quality 4.0 in the Indian manufacturing sector. Employing Interpretive Structural Modelling and Matrix Impact of Cross Multiplication Applied to Classification, the authors probe the interdependencies amongst fourteen identified barriers inhibiting Quality 4.0 adoption. These barriers were categorized according to their driving power and dependence, providing a richer understanding of the dynamic obstacles within the Technology–Organization–Environment (TOE) framework. The study results highlight the lack of Quality 4.0 standards and Big Data Analytics (BDA) tools as fundamental obstacles to integrating Quality 4.0 within the Indian manufacturing sector. Additionally, the study results contravene dominant academic narratives, suggesting that the cumulative impact of organizational barriers is marginal, contrary to theoretical postulations emphasizing their central significance in Quality 4.0 assimilation. This research provides concrete strategies, such as developing a collaborative platform for sharing best practices in Quality 4.0 standards, which fosters a synergistic relationship between organizations and policymakers, for instance, by creating a joint task force, comprised of industry leaders and regulatory bodies, dedicated to formulating and disseminating comprehensive guidelines for Quality 4.0 adoption. This initiative could lead to establishing industry-wide standards, benefiting from the pooled expertise of diverse stakeholders. Additionally, the study underscores the necessity for robust, standardized Big Data Analytics tools specifically designed to meet the Quality 4.0 criteria, which can be developed through public-private partnerships. These tools would facilitate the seamless integration of Quality 4.0 processes, demonstrating a direct route for overcoming the barriers of inadequate standards. This research delineates specific obstacles to Quality 4.0 adoption by applying the TOE framework, detailing how these barriers interact with and influence each other, particularly highlighting the previously overlooked environmental factors. The analysis reveals a critical interdependence between “lack of standards for Quality 4.0” and “lack of standardized BDA tools and solutions,” providing nuanced insights into their conjoined effect on stalling progress in this field. Moreover, the study contributes to the theoretical body of knowledge by mapping out these novel impediments, offering a more comprehensive understanding of the challenges faced in adopting Quality 4.0.Investigating the barriers to Quality 4.0 adoption in the Indian manufacturing sector: insights and implications for industry and policy-making
Ranjit Roy Ghatak, Jose Arturo Garza-Reyes
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The research explores the shift to Quality 4.0, examining the move towards a data-focussed transformation within organizational frameworks. This transition is characterized by incorporating Industry 4.0 technological innovations into existing quality management frameworks, signifying a significant evolution in quality control systems. Despite the evident advantages, the practical deployment in the Indian manufacturing sector encounters various obstacles. This research is dedicated to a thorough examination of these impediments. It is structured around a set of pivotal research questions: First, it seeks to identify the key barriers that impede the adoption of Quality 4.0. Second, it aims to elucidate these barriers' interrelations and mutual dependencies. Thirdly, the research prioritizes these barriers in terms of their significance to the adoption process. Finally, it contemplates the ramifications of these priorities for the strategic advancement of manufacturing practices and the development of informed policies. By answering these questions, the research provides a detailed understanding of the challenges faced. It offers actionable insights for practitioners and policymakers implementing Quality 4.0 in the Indian manufacturing sector.

Employing Interpretive Structural Modelling and Matrix Impact of Cross Multiplication Applied to Classification, the authors probe the interdependencies amongst fourteen identified barriers inhibiting Quality 4.0 adoption. These barriers were categorized according to their driving power and dependence, providing a richer understanding of the dynamic obstacles within the Technology–Organization–Environment (TOE) framework.

The study results highlight the lack of Quality 4.0 standards and Big Data Analytics (BDA) tools as fundamental obstacles to integrating Quality 4.0 within the Indian manufacturing sector. Additionally, the study results contravene dominant academic narratives, suggesting that the cumulative impact of organizational barriers is marginal, contrary to theoretical postulations emphasizing their central significance in Quality 4.0 assimilation.

This research provides concrete strategies, such as developing a collaborative platform for sharing best practices in Quality 4.0 standards, which fosters a synergistic relationship between organizations and policymakers, for instance, by creating a joint task force, comprised of industry leaders and regulatory bodies, dedicated to formulating and disseminating comprehensive guidelines for Quality 4.0 adoption. This initiative could lead to establishing industry-wide standards, benefiting from the pooled expertise of diverse stakeholders. Additionally, the study underscores the necessity for robust, standardized Big Data Analytics tools specifically designed to meet the Quality 4.0 criteria, which can be developed through public-private partnerships. These tools would facilitate the seamless integration of Quality 4.0 processes, demonstrating a direct route for overcoming the barriers of inadequate standards.

This research delineates specific obstacles to Quality 4.0 adoption by applying the TOE framework, detailing how these barriers interact with and influence each other, particularly highlighting the previously overlooked environmental factors. The analysis reveals a critical interdependence between “lack of standards for Quality 4.0” and “lack of standardized BDA tools and solutions,” providing nuanced insights into their conjoined effect on stalling progress in this field. Moreover, the study contributes to the theoretical body of knowledge by mapping out these novel impediments, offering a more comprehensive understanding of the challenges faced in adopting Quality 4.0.

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Investigating the barriers to Quality 4.0 adoption in the Indian manufacturing sector: insights and implications for industry and policy-making10.1108/IJQRM-09-2023-0277International Journal of Quality & Reliability Management2024-01-23© 2024 Emerald Publishing LimitedRanjit Roy GhatakJose Arturo Garza-ReyesInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-01-2310.1108/IJQRM-09-2023-0277https://www.emerald.com/insight/content/doi/10.1108/IJQRM-09-2023-0277/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Mapping the landscape: a bibliometric analysis of ISO 31000https://www.emerald.com/insight/content/doi/10.1108/IJQRM-09-2023-0287/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to evaluate performance and map the science of research on International Organization for Standardization (ISO) 31000 standard through published articles. Specifically, this study determines the current state of the art, identifies research gaps and guides future studies related to ISO 31000. This work investigates and examines the research papers acquired from the Scopus and Web of Science databases. Inclusion and exclusion criteria were applied to obtain relevant papers. Bibliometric analysis using Biblioshiny was conducted to answer the research objectives. The results show growing interest in ISO 31000 research but limited interconnectivity among articles. Influential journals have emerged, highlighting key research trends in risk management's (RM) practical application and its significance in organizational decision-making. Key research areas include risk assessment (RA) methods, enterprise RM and system integration, endorsing ISO 31000 as a valuable tool. Future research should prioritize longitudinal studies to track ISO 31000's impact, study effective risk communication strategies, explore sector-specific RM practices and assess ISO 31000's application in emerging technologies. This research reveals key themes and diverse methods that aid practitioners in customizing industry risk strategies, adapting to emerging trends, engaging global collaboration and improving risk communication. Nevertheless, the study might overlook non-English contributions, urging broader language inclusion for ISO 31000's profundity. This paper's originality lies in its comprehensive bibliometric analysis of ISO 31000 research, providing valuable insights into the standard's growing significance and global impact. The study identifies key research themes and influential authors, guiding future research and improving RM practices.Mapping the landscape: a bibliometric analysis of ISO 31000
Tri Widianti, Himma Firdaus, Tri Rakhmawati
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to evaluate performance and map the science of research on International Organization for Standardization (ISO) 31000 standard through published articles. Specifically, this study determines the current state of the art, identifies research gaps and guides future studies related to ISO 31000.

This work investigates and examines the research papers acquired from the Scopus and Web of Science databases. Inclusion and exclusion criteria were applied to obtain relevant papers. Bibliometric analysis using Biblioshiny was conducted to answer the research objectives.

The results show growing interest in ISO 31000 research but limited interconnectivity among articles. Influential journals have emerged, highlighting key research trends in risk management's (RM) practical application and its significance in organizational decision-making. Key research areas include risk assessment (RA) methods, enterprise RM and system integration, endorsing ISO 31000 as a valuable tool. Future research should prioritize longitudinal studies to track ISO 31000's impact, study effective risk communication strategies, explore sector-specific RM practices and assess ISO 31000's application in emerging technologies.

This research reveals key themes and diverse methods that aid practitioners in customizing industry risk strategies, adapting to emerging trends, engaging global collaboration and improving risk communication. Nevertheless, the study might overlook non-English contributions, urging broader language inclusion for ISO 31000's profundity.

This paper's originality lies in its comprehensive bibliometric analysis of ISO 31000 research, providing valuable insights into the standard's growing significance and global impact. The study identifies key research themes and influential authors, guiding future research and improving RM practices.

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Mapping the landscape: a bibliometric analysis of ISO 3100010.1108/IJQRM-09-2023-0287International Journal of Quality & Reliability Management2024-02-16© 2024 Emerald Publishing LimitedTri WidiantiHimma FirdausTri RakhmawatiInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-1610.1108/IJQRM-09-2023-0287https://www.emerald.com/insight/content/doi/10.1108/IJQRM-09-2023-0287/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Some inferences on a mixture of exponential and Rayleigh distributions based on fuzzy datahttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2022-0300/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn this paper, a mixture of exponential and Rayleigh distributions in the proportions α and 1 − α and all the parameters in the mixture distribution are estimated based on fuzzy data. The methods such as maximum likelihood estimation (MLE) and method of moments (MOM) are applied for estimation. Fuzzy data of triangular fuzzy numbers and Gaussian fuzzy numbers for different sample sizes are considered to illustrate the resulting estimation and to compare these methods. In addition to this, the obtained results are compared with existing results for crisp data in the literature. The application of fuzziness in the data will be very useful to obtain precise results in the presence of vagueness in data. Mean square errors (MSEs) of the resulting estimators are computed using crisp data and fuzzy data. On comparison, in terms of MSEs, it is observed that maximum likelihood estimators perform better than moment estimators. Classical methods of obtaining estimators of unknown parameters fail to give realistic estimators since these methods assume the data collected to be crisp or exact. Normally, such case of precise data is not always feasible and realistic in practice. Most of them will be incomplete and sometimes expressed in linguistic variables. Such data can be handled by generalizing the classical inference methods using fuzzy set theory.Some inferences on a mixture of exponential and Rayleigh distributions based on fuzzy data
Ashlyn Maria Mathai, Mahesh Kumar
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

In this paper, a mixture of exponential and Rayleigh distributions in the proportions α and 1 − α and all the parameters in the mixture distribution are estimated based on fuzzy data.

The methods such as maximum likelihood estimation (MLE) and method of moments (MOM) are applied for estimation. Fuzzy data of triangular fuzzy numbers and Gaussian fuzzy numbers for different sample sizes are considered to illustrate the resulting estimation and to compare these methods. In addition to this, the obtained results are compared with existing results for crisp data in the literature.

The application of fuzziness in the data will be very useful to obtain precise results in the presence of vagueness in data. Mean square errors (MSEs) of the resulting estimators are computed using crisp data and fuzzy data. On comparison, in terms of MSEs, it is observed that maximum likelihood estimators perform better than moment estimators.

Classical methods of obtaining estimators of unknown parameters fail to give realistic estimators since these methods assume the data collected to be crisp or exact. Normally, such case of precise data is not always feasible and realistic in practice. Most of them will be incomplete and sometimes expressed in linguistic variables. Such data can be handled by generalizing the classical inference methods using fuzzy set theory.

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Some inferences on a mixture of exponential and Rayleigh distributions based on fuzzy data10.1108/IJQRM-10-2022-0300International Journal of Quality & Reliability Management2023-04-17© 2023 Emerald Publishing LimitedAshlyn Maria MathaiMahesh KumarInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2023-04-1710.1108/IJQRM-10-2022-0300https://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2022-0300/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Visiting and revisiting destinations: impact of augmented reality, content quality, perceived ease of use, perceived value and usefulness on E-WOMhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2023-0314/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe primary aim of this study is to identify and analyze the key factors that impact the intentions of Jordanian tourists to visit and revisit destinations using the Jannah Jo app. A self-administered questionnaires via Google Forms was employed comprising a sample of 401 Jordanian tourists who have the Jannah Jo app. Partial least squares-structural equation modeling approach was applied for hypotheses testing. The present investigation has revealed that the constructs of perceived ease of use (PEU), perceived usefulness (PU) and perceived value (PV) exerted a significant and positive impact on electronic word of mouth (e-WOM). Additionally, e-WOM was observed to wield a positive and significant influence on the attitudes of consumers' decision-making, thereby ultimately affecting the intentions of Jordanian tourists with regard to their decisions to visit and revisit destinations. Nevertheless, it is noteworthy that the results indicated that neither augmented reality nor content quality exhibited any statistically significant positive relationship with e-WOM. Tourism agencies striving to encourage the adoption of smart applications must grasp the relevance of e-WOM within the contemporary digital milieu. Additionally, they should acknowledge the significance of tourists' intentions concerning both revisiting and initial visits. This research contends that such agencies ought to take into account the substantial influence exerted by PEU, PU and PV in shaping the favorable e-WOM discourse. By integrating the technology acceptance model in conjunction with other relevant variables, this research strives to develop a comprehensive model that advances the comprehension of the intricate determinants affecting tourists' engagements with mobile applications. Furthermore, it is noteworthy that this study represents the initial investigation conducted in the Middle East, specifically in Jordan, on this subject matter.Visiting and revisiting destinations: impact of augmented reality, content quality, perceived ease of use, perceived value and usefulness on E-WOM
Jude Madi, Mohammad Al Khasawneh, Ala' Omar Dandis
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The primary aim of this study is to identify and analyze the key factors that impact the intentions of Jordanian tourists to visit and revisit destinations using the Jannah Jo app.

A self-administered questionnaires via Google Forms was employed comprising a sample of 401 Jordanian tourists who have the Jannah Jo app. Partial least squares-structural equation modeling approach was applied for hypotheses testing.

The present investigation has revealed that the constructs of perceived ease of use (PEU), perceived usefulness (PU) and perceived value (PV) exerted a significant and positive impact on electronic word of mouth (e-WOM). Additionally, e-WOM was observed to wield a positive and significant influence on the attitudes of consumers' decision-making, thereby ultimately affecting the intentions of Jordanian tourists with regard to their decisions to visit and revisit destinations. Nevertheless, it is noteworthy that the results indicated that neither augmented reality nor content quality exhibited any statistically significant positive relationship with e-WOM.

Tourism agencies striving to encourage the adoption of smart applications must grasp the relevance of e-WOM within the contemporary digital milieu. Additionally, they should acknowledge the significance of tourists' intentions concerning both revisiting and initial visits. This research contends that such agencies ought to take into account the substantial influence exerted by PEU, PU and PV in shaping the favorable e-WOM discourse.

By integrating the technology acceptance model in conjunction with other relevant variables, this research strives to develop a comprehensive model that advances the comprehension of the intricate determinants affecting tourists' engagements with mobile applications. Furthermore, it is noteworthy that this study represents the initial investigation conducted in the Middle East, specifically in Jordan, on this subject matter.

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Visiting and revisiting destinations: impact of augmented reality, content quality, perceived ease of use, perceived value and usefulness on E-WOM10.1108/IJQRM-10-2023-0314International Journal of Quality & Reliability Management2024-01-09© 2023 Emerald Publishing LimitedJude MadiMohammad Al KhasawnehAla' Omar DandisInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-01-0910.1108/IJQRM-10-2023-0314https://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2023-0314/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Re-examining the quality management and firm performance relationships: meta-analytical investigation on moderating effects of national culture differenceshttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2023-0321/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the last 3 decades, organization-wide programs and practices based on the Total Quality Management (TQM) philosophy have become central to continuous improvement (CI) strategy in both public and private enterprises. However, there is paradoxical evidence of TQM-firm performance linkage in non-Japanese contexts. This study presents a meta-analysis of empirical research on TQM-firm performance linkage and investigates the moderating influence of national cultural (NC) values on this relationship. Meta-analytical procedures are adopted to analyse 364 effects accumulated from 135 independent samples across 31 nations, for 30,015 firm observations. Additionally, weighted least square (WLS) meta-regression is used to test the moderation effects of four NC dimensions based on the Global Leadership and Organizational Behavior Effectiveness (GLOBE) model. The meta-analysis results reveal that the strengths of the association varied across five soft and hard TQM dimensions and three firm performance dimensions Meta-regression indicate that the effectiveness of the TQM program is high in cultures which reward collectivist behaviours, equity of power distribution and avoidance of ambiguity in rules/structures. The study contributes to international operational management theory on cultural influences on the effectiveness of operations strategies and decisions.Re-examining the quality management and firm performance relationships: meta-analytical investigation on moderating effects of national culture differences
Anupama Prashar
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the last 3 decades, organization-wide programs and practices based on the Total Quality Management (TQM) philosophy have become central to continuous improvement (CI) strategy in both public and private enterprises. However, there is paradoxical evidence of TQM-firm performance linkage in non-Japanese contexts. This study presents a meta-analysis of empirical research on TQM-firm performance linkage and investigates the moderating influence of national cultural (NC) values on this relationship.

Meta-analytical procedures are adopted to analyse 364 effects accumulated from 135 independent samples across 31 nations, for 30,015 firm observations. Additionally, weighted least square (WLS) meta-regression is used to test the moderation effects of four NC dimensions based on the Global Leadership and Organizational Behavior Effectiveness (GLOBE) model.

The meta-analysis results reveal that the strengths of the association varied across five soft and hard TQM dimensions and three firm performance dimensions Meta-regression indicate that the effectiveness of the TQM program is high in cultures which reward collectivist behaviours, equity of power distribution and avoidance of ambiguity in rules/structures.

The study contributes to international operational management theory on cultural influences on the effectiveness of operations strategies and decisions.

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Re-examining the quality management and firm performance relationships: meta-analytical investigation on moderating effects of national culture differences10.1108/IJQRM-10-2023-0321International Journal of Quality & Reliability Management2024-03-19© 2024 Emerald Publishing LimitedAnupama PrasharInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-1910.1108/IJQRM-10-2023-0321https://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2023-0321/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Certification bodies’ interpretation and application of the ISO 19011 audit process guidelineshttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2023-0339/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to show that third-party quality audits (TPQAs) facilitate performance improvement and give confidence to organisations concerning the process quality of services and products. However, because of inconsistencies and unethical practices often observed in the industry, organisations question the significance of TPQA. A perception exists that its initial purpose as an impartial tool ensuring quality of deliverables is no longer upheld. Hence, the need to determine and explain the influence of the ISO 19011 standard interpretation on the application of the audit guidelines in performing TPQA, to promote consistency in the audit process. The study employed document analysis of the ISO 19011 standard, followed by semi-structured interviews with certification managers (CBs) to gain insight related to their interpretation and application of the ISO 19011 guidelines. The CBs interpret the ISO 19011 guidelines differently; hence, their application of the standard to compile their audit documents differ. Adherence to the principles of auditing particularly, integrity and independence were found as the core of the audit process while their disregard reflects failure of the real intent of auditing. The inconsistencies in the audit procedures and documents developed for auditors are ascribed to some CBs’ personal interpretations. The study explores how the different interpretations of the ISO 19011 standard prevail and are perceived by the CBs and auditors. The findings aim to support standardisation and reduce the variations across and amongst the different CBs and auditors.Certification bodies’ interpretation and application of the ISO 19011 audit process guidelines
Thembekile Debora Sepeng, Ann Lourens, Karl Van der Merwe, Robert Gerber
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to show that third-party quality audits (TPQAs) facilitate performance improvement and give confidence to organisations concerning the process quality of services and products. However, because of inconsistencies and unethical practices often observed in the industry, organisations question the significance of TPQA. A perception exists that its initial purpose as an impartial tool ensuring quality of deliverables is no longer upheld. Hence, the need to determine and explain the influence of the ISO 19011 standard interpretation on the application of the audit guidelines in performing TPQA, to promote consistency in the audit process.

The study employed document analysis of the ISO 19011 standard, followed by semi-structured interviews with certification managers (CBs) to gain insight related to their interpretation and application of the ISO 19011 guidelines.

The CBs interpret the ISO 19011 guidelines differently; hence, their application of the standard to compile their audit documents differ. Adherence to the principles of auditing particularly, integrity and independence were found as the core of the audit process while their disregard reflects failure of the real intent of auditing. The inconsistencies in the audit procedures and documents developed for auditors are ascribed to some CBs’ personal interpretations.

The study explores how the different interpretations of the ISO 19011 standard prevail and are perceived by the CBs and auditors. The findings aim to support standardisation and reduce the variations across and amongst the different CBs and auditors.

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Certification bodies’ interpretation and application of the ISO 19011 audit process guidelines10.1108/IJQRM-10-2023-0339International Journal of Quality & Reliability Management2024-03-26© 2024 Thembekile Debora Sepeng, Ann Lourens, Karl Van der Merwe and Robert GerberThembekile Debora SepengAnn LourensKarl Van der MerweRobert GerberInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-2610.1108/IJQRM-10-2023-0339https://www.emerald.com/insight/content/doi/10.1108/IJQRM-10-2023-0339/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Thembekile Debora Sepeng, Ann Lourens, Karl Van der Merwe and Robert Gerberhttp://creativecommons.org/licences/by/4.0/legalcode
Determination of driving power and dependency of wastes in the healthcare sector: a lean and ISM-Based approachhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-11-2021-0380/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe objective of this study is to systematically identify, categorize and assess the driving factors and interdependencies associated with various types of healthcare waste. The study specifically focuses on waste that has been managed or is recommended for treatment through the application of Lean Six Sigma (LSS) methodologies. To accomplish the study’s objectives, interpretive structural modeling (ISM) was utilized. This analytical tool aided in quantifying the driving power and dependencies of each form of healthcare waste, referred to as “enablers,” as well as their related variables. As a result, these enablers were classified into four distinct categories: autonomous, dependent, linkage and drivers or independents. In the healthcare sector, the “high cost” (HC) emerges as an autonomous variable, operating with substantial independence. Conversely, variables such as skill wastage, poor service quality and low patient satisfaction are identified as dependent variables. These are distinguished by their low driving power and high dependency. On the flip side, variables related to transportation, production, processing and defect waste manifest strong driving forces and minimal dependencies, categorizing them as independent factors. Notably, inventory waste (IW) is highlighted as a salient issue within the healthcare domain, given its propensity to engender additional forms of waste. Employing the ISM model, along with comprehensive case study analyses, provides a detailed framework for examining the complex hierarchies of waste existing within the healthcare sector. This methodological approach equips healthcare leaders with the tools to accurately pinpoint and eliminate unnecessary expenditures, thereby optimizing operational efficiency and enhancing patient satisfaction. Of particular significance, the study calls attention to the key role of IW, which often acts as a trigger for other forms of waste in the sector, thus identifying a crucial area requiring focused intervention and improvement. This research reveals new insights into how waste variables are structured in healthcare, offering a useful guide for managers looking to make their waste-reduction strategies more efficient. These insights are highly relevant not just for healthcare providers but also for the administrators and researchers who are helping to shape the industry. Using the classification and ranking model developed in this study, healthcare organizations can more easily spot and address common types of waste. In addition, the model serves as a useful tool for practitioners, helping them gain a deeper, more detailed understanding of how different factors are connected in efforts to reduce waste.Determination of driving power and dependency of wastes in the healthcare sector: a lean and ISM-Based approach
Manjeet Kharub, Himanshu Gupta, Sudhir Rana, Olivia McDermott
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

The objective of this study is to systematically identify, categorize and assess the driving factors and interdependencies associated with various types of healthcare waste. The study specifically focuses on waste that has been managed or is recommended for treatment through the application of Lean Six Sigma (LSS) methodologies.

To accomplish the study’s objectives, interpretive structural modeling (ISM) was utilized. This analytical tool aided in quantifying the driving power and dependencies of each form of healthcare waste, referred to as “enablers,” as well as their related variables. As a result, these enablers were classified into four distinct categories: autonomous, dependent, linkage and drivers or independents.

In the healthcare sector, the “high cost” (HC) emerges as an autonomous variable, operating with substantial independence. Conversely, variables such as skill wastage, poor service quality and low patient satisfaction are identified as dependent variables. These are distinguished by their low driving power and high dependency. On the flip side, variables related to transportation, production, processing and defect waste manifest strong driving forces and minimal dependencies, categorizing them as independent factors. Notably, inventory waste (IW) is highlighted as a salient issue within the healthcare domain, given its propensity to engender additional forms of waste.

Employing the ISM model, along with comprehensive case study analyses, provides a detailed framework for examining the complex hierarchies of waste existing within the healthcare sector. This methodological approach equips healthcare leaders with the tools to accurately pinpoint and eliminate unnecessary expenditures, thereby optimizing operational efficiency and enhancing patient satisfaction. Of particular significance, the study calls attention to the key role of IW, which often acts as a trigger for other forms of waste in the sector, thus identifying a crucial area requiring focused intervention and improvement.

This research reveals new insights into how waste variables are structured in healthcare, offering a useful guide for managers looking to make their waste-reduction strategies more efficient. These insights are highly relevant not just for healthcare providers but also for the administrators and researchers who are helping to shape the industry. Using the classification and ranking model developed in this study, healthcare organizations can more easily spot and address common types of waste. In addition, the model serves as a useful tool for practitioners, helping them gain a deeper, more detailed understanding of how different factors are connected in efforts to reduce waste.

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Determination of driving power and dependency of wastes in the healthcare sector: a lean and ISM-Based approach10.1108/IJQRM-11-2021-0380International Journal of Quality & Reliability Management2024-02-19© 2024 Emerald Publishing LimitedManjeet KharubHimanshu GuptaSudhir RanaOlivia McDermottInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-1910.1108/IJQRM-11-2021-0380https://www.emerald.com/insight/content/doi/10.1108/IJQRM-11-2021-0380/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Integration of Industry 4.0 to the CBM practices of the O&G upstream sector in Nigeriahttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-11-2022-0323/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study investigates the integration of Industry 4.0 (I4.0) technologies with condition-based maintenance (CBM) in upstream oil and gas (O&G) operations, focussing on developing countries like Nigeria. The research identifies barriers to this integration and suggests solutions, intending to provide practical insights for improving operational efficiency in the O&G sector. The study commenced with an exhaustive review of extant literature to identify existing barriers to I4.0 implementation and contextualise the study. Subsequent to this foundational step, primary data are gathered through the administration of carefully constructed questionnaires targeted at professionals specialised in maintenance within the upstream O&G sector. A semi-structured interview was also conducted to elicit more nuanced, contextual insights from these professionals. Analytically, the collected data were subjected to descriptive statistical methods for summarisation and interpretation with a measurement model to define the relationships between observed variables and latent construct. Moreover, the Relative Importance Index was utilised to systematically prioritise and rank the key barriers to I4.0 integration to CBM within the upstream O&G upstream sector. The most ranked obstacles in integrating I4.0 technologies to the CBM strategy in the O&G industry are lack of budget and finance, limited engineering and technological resources, lack of support from executives and leaders of the organisations and lack of competence. Even though the journey of digitalisation has commenced in the O&G industry, there are limited studies in this area. The study serves as both an academic cornerstone and a practical guide for the operational integration of I4.0 technologies within Nigeria's O&G upstream sector. Specifically, it provides an exhaustive analysis of the obstacles impeding effective incorporation into CBM practices. Additionally, the study contributes actionable insights for industry stakeholders to enhance overall performance and achieve key performance indices (KPIs).Integration of Industry 4.0 to the CBM practices of the O&G upstream sector in Nigeria
Chinedu Onyeme, Kapila Liyanage
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study investigates the integration of Industry 4.0 (I4.0) technologies with condition-based maintenance (CBM) in upstream oil and gas (O&G) operations, focussing on developing countries like Nigeria. The research identifies barriers to this integration and suggests solutions, intending to provide practical insights for improving operational efficiency in the O&G sector.

The study commenced with an exhaustive review of extant literature to identify existing barriers to I4.0 implementation and contextualise the study. Subsequent to this foundational step, primary data are gathered through the administration of carefully constructed questionnaires targeted at professionals specialised in maintenance within the upstream O&G sector. A semi-structured interview was also conducted to elicit more nuanced, contextual insights from these professionals. Analytically, the collected data were subjected to descriptive statistical methods for summarisation and interpretation with a measurement model to define the relationships between observed variables and latent construct. Moreover, the Relative Importance Index was utilised to systematically prioritise and rank the key barriers to I4.0 integration to CBM within the upstream O&G upstream sector.

The most ranked obstacles in integrating I4.0 technologies to the CBM strategy in the O&G industry are lack of budget and finance, limited engineering and technological resources, lack of support from executives and leaders of the organisations and lack of competence. Even though the journey of digitalisation has commenced in the O&G industry, there are limited studies in this area.

The study serves as both an academic cornerstone and a practical guide for the operational integration of I4.0 technologies within Nigeria's O&G upstream sector. Specifically, it provides an exhaustive analysis of the obstacles impeding effective incorporation into CBM practices. Additionally, the study contributes actionable insights for industry stakeholders to enhance overall performance and achieve key performance indices (KPIs).

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Integration of Industry 4.0 to the CBM practices of the O&G upstream sector in Nigeria10.1108/IJQRM-11-2022-0323International Journal of Quality & Reliability Management2024-01-23© 2024 Emerald Publishing LimitedChinedu OnyemeKapila LiyanageInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-01-2310.1108/IJQRM-11-2022-0323https://www.emerald.com/insight/content/doi/10.1108/IJQRM-11-2022-0323/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Blockchain-based deep learning in IoT, healthcare and cryptocurrency price prediction: a comprehensive reviewhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-12-2022-0373/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDeep learning (DL) is on the rise because it can make predictions and judgments based on data that is unseen. Blockchain technologies are being combined with DL frameworks in various industries to provide a safe and effective infrastructure. The review comprises literature that lists the most recent techniques used in the aforementioned application sectors. We examine the current research trends across several fields and evaluate the literature in terms of its advantages and disadvantages. The integration of blockchain and DL has been explored in several application domains for the past five years (2018–2023). Our research is guided by five research questions, and based on these questions, we concentrate on key application domains such as the usage of Internet of Things (IoT) in several applications, healthcare and cryptocurrency price prediction. We have analyzed the main challenges and possibilities concerning blockchain technologies. We have discussed the methodologies used in the pertinent publications in these areas and contrasted the research trends during the previous five years. Additionally, we provide a comparison of the widely used blockchain frameworks that are used to create blockchain-based DL frameworks. By responding to five research objectives, the study highlights and assesses the effectiveness of already published works using blockchain and DL. Our findings indicate that IoT applications, such as their use in smart cities and cars, healthcare and cryptocurrency, are the key areas of research. The primary focus of current research is the enhancement of existing systems, with data analysis, storage and sharing via decentralized systems being the main motivation for this integration. Amongst the various frameworks employed, Ethereum and Hyperledger are popular among researchers in the domain of IoT and healthcare, whereas Bitcoin is popular for research on cryptocurrency. There is a lack of literature that summarizes the state-of-the-art methods incorporating blockchain and DL in popular domains such as healthcare, IoT and cryptocurrency price prediction. We analyze the existing research done in the past five years (2018–2023) to review the issues and emerging trends.Blockchain-based deep learning in IoT, healthcare and cryptocurrency price prediction: a comprehensive review
Shefali Arora, Ruchi Mittal, Avinash K. Shrivastava, Shivani Bali
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

Deep learning (DL) is on the rise because it can make predictions and judgments based on data that is unseen. Blockchain technologies are being combined with DL frameworks in various industries to provide a safe and effective infrastructure. The review comprises literature that lists the most recent techniques used in the aforementioned application sectors. We examine the current research trends across several fields and evaluate the literature in terms of its advantages and disadvantages.

The integration of blockchain and DL has been explored in several application domains for the past five years (2018–2023). Our research is guided by five research questions, and based on these questions, we concentrate on key application domains such as the usage of Internet of Things (IoT) in several applications, healthcare and cryptocurrency price prediction. We have analyzed the main challenges and possibilities concerning blockchain technologies. We have discussed the methodologies used in the pertinent publications in these areas and contrasted the research trends during the previous five years. Additionally, we provide a comparison of the widely used blockchain frameworks that are used to create blockchain-based DL frameworks.

By responding to five research objectives, the study highlights and assesses the effectiveness of already published works using blockchain and DL. Our findings indicate that IoT applications, such as their use in smart cities and cars, healthcare and cryptocurrency, are the key areas of research. The primary focus of current research is the enhancement of existing systems, with data analysis, storage and sharing via decentralized systems being the main motivation for this integration. Amongst the various frameworks employed, Ethereum and Hyperledger are popular among researchers in the domain of IoT and healthcare, whereas Bitcoin is popular for research on cryptocurrency.

There is a lack of literature that summarizes the state-of-the-art methods incorporating blockchain and DL in popular domains such as healthcare, IoT and cryptocurrency price prediction. We analyze the existing research done in the past five years (2018–2023) to review the issues and emerging trends.

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Blockchain-based deep learning in IoT, healthcare and cryptocurrency price prediction: a comprehensive review10.1108/IJQRM-12-2022-0373International Journal of Quality & Reliability Management2024-02-27© 2024 Emerald Publishing LimitedShefali AroraRuchi MittalAvinash K. ShrivastavaShivani BaliInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-2710.1108/IJQRM-12-2022-0373https://www.emerald.com/insight/content/doi/10.1108/IJQRM-12-2022-0373/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The lean link: exploring industry 4.0's influence on sustainable operational performance for serviceshttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-12-2023-0372/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis empirical study explores the intricate relationships between Industry 4.0 (I4), Lean practices and sustainable operational performance (SOP) within the dynamic context of the services sector. Rooted in the theoretical framework of Resource Orchestration Theory (ROT), the research investigates the nuanced interplay between these paradigms and their collective impact on firm performance. The research methods included creation of a structural model, hypothesis formulation and advanced data analysis. Primary data were gathered through an online questionnaire distributed among service sector professionals. Analysis was completed using Partial Least Squares (PLS) Structural Equation Modeling (SEM) using the Smart-PLS software. The results underscore the mediating role of Lean practices between I4 and SOP, emphasizing the imperative of harmonized integration to enhance overall firm performance. In alignment with ROT principles, the study illuminates the positive influence of Lean practices on sustainable operational outcomes. The study contributes to the scholarly discourse on I4, Lean and Services, emphasizing the strategic necessity of integrating I4 capabilities with Lean practices. Practical insights guide practitioners in orchestrating a balanced adoption of I4 and Lean practices for SOP. This research offers actionable insights for industry leaders seeking to cultivate SOP within their organizational contexts. This study contributes to the evolving understanding of the interplay between I4, Lean practices and SOP within the services sector, offering novel insights for both academia and industry practitioners.The lean link: exploring industry 4.0's influence on sustainable operational performance for services
Sharad Sharma, Narain Gupta, Pooja Thakur
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This empirical study explores the intricate relationships between Industry 4.0 (I4), Lean practices and sustainable operational performance (SOP) within the dynamic context of the services sector. Rooted in the theoretical framework of Resource Orchestration Theory (ROT), the research investigates the nuanced interplay between these paradigms and their collective impact on firm performance.

The research methods included creation of a structural model, hypothesis formulation and advanced data analysis. Primary data were gathered through an online questionnaire distributed among service sector professionals. Analysis was completed using Partial Least Squares (PLS) Structural Equation Modeling (SEM) using the Smart-PLS software.

The results underscore the mediating role of Lean practices between I4 and SOP, emphasizing the imperative of harmonized integration to enhance overall firm performance. In alignment with ROT principles, the study illuminates the positive influence of Lean practices on sustainable operational outcomes.

The study contributes to the scholarly discourse on I4, Lean and Services, emphasizing the strategic necessity of integrating I4 capabilities with Lean practices. Practical insights guide practitioners in orchestrating a balanced adoption of I4 and Lean practices for SOP. This research offers actionable insights for industry leaders seeking to cultivate SOP within their organizational contexts.

This study contributes to the evolving understanding of the interplay between I4, Lean practices and SOP within the services sector, offering novel insights for both academia and industry practitioners.

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The lean link: exploring industry 4.0's influence on sustainable operational performance for services10.1108/IJQRM-12-2023-0372International Journal of Quality & Reliability Management2024-02-27© 2024 Emerald Publishing LimitedSharad SharmaNarain GuptaPooja ThakurInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-02-2710.1108/IJQRM-12-2023-0372https://www.emerald.com/insight/content/doi/10.1108/IJQRM-12-2023-0372/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Application of fuzzy failure mode and effect analysis to investigate lean wastes in the sewing sectionhttps://www.emerald.com/insight/content/doi/10.1108/IJQRM-12-2023-0407/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to quantify and prioritize the main causes of lean wastes and to apply reduction methods by employing better waste cause identification methodologies. We employed fuzzy techniques for order preference by similarity to the ideal solution (FTOPSIS), fuzzy analytical hierarchy process (FAHP), and failure mode effect analysis (FMEA) to determine the causes of defects. To determine the current defect cause identification procedures, time studies, checklists, and process flow charts were employed. The study focuses on the sewing department of a clothing industry in Addis Ababa, Ethiopia. These techniques outperform conventional techniques and offer a better solution for challenging decision-making situations. Each lean waste’s FMEA criteria, such as severity, occurrence, and detectability, were examined. A pairwise comparison revealed that defect has a larger effect than other lean wastes. Defects were mostly caused by inadequate operator training. To minimize lean waste, prioritizing their causes is crucial. The research focuses on a case company and the result could not be generalized for the whole industry. The study used quantitative approaches to quantify and prioritize the causes of lean waste in the garment industry and provides insight for industrialists to focus on the waste causes to improve their quality performance. The methodology of integrating FMEA with FAHP and FTOPSIS was the new contribution to have a better solution to decision variables by considering the severity, occurrence, and detectability of the causes of wastes. The data collection approach was based on experts’ focus group discussion to rate the main causes of defects which could provide optimal values of defect cause prioritization.Application of fuzzy failure mode and effect analysis to investigate lean wastes in the sewing section
Temesgen Agazhie, Shalemu Sharew Hailemariam
International Journal of Quality & Reliability Management, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to quantify and prioritize the main causes of lean wastes and to apply reduction methods by employing better waste cause identification methodologies.

We employed fuzzy techniques for order preference by similarity to the ideal solution (FTOPSIS), fuzzy analytical hierarchy process (FAHP), and failure mode effect analysis (FMEA) to determine the causes of defects. To determine the current defect cause identification procedures, time studies, checklists, and process flow charts were employed. The study focuses on the sewing department of a clothing industry in Addis Ababa, Ethiopia.

These techniques outperform conventional techniques and offer a better solution for challenging decision-making situations. Each lean waste’s FMEA criteria, such as severity, occurrence, and detectability, were examined. A pairwise comparison revealed that defect has a larger effect than other lean wastes. Defects were mostly caused by inadequate operator training. To minimize lean waste, prioritizing their causes is crucial.

The research focuses on a case company and the result could not be generalized for the whole industry.

The study used quantitative approaches to quantify and prioritize the causes of lean waste in the garment industry and provides insight for industrialists to focus on the waste causes to improve their quality performance.

The methodology of integrating FMEA with FAHP and FTOPSIS was the new contribution to have a better solution to decision variables by considering the severity, occurrence, and detectability of the causes of wastes. The data collection approach was based on experts’ focus group discussion to rate the main causes of defects which could provide optimal values of defect cause prioritization.

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Application of fuzzy failure mode and effect analysis to investigate lean wastes in the sewing section10.1108/IJQRM-12-2023-0407International Journal of Quality & Reliability Management2024-03-27© 2024 Emerald Publishing LimitedTemesgen AgazhieShalemu Sharew HailemariamInternational Journal of Quality & Reliability Managementahead-of-printahead-of-print2024-03-2710.1108/IJQRM-12-2023-0407https://www.emerald.com/insight/content/doi/10.1108/IJQRM-12-2023-0407/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited