Library Hi TechTable of Contents for Library Hi Tech. List of articles from the current issue, including Just Accepted (EarlyCite)https://www.emerald.com/insight/publication/issn/0737-8831/vol/42/iss/1?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestLibrary Hi TechEmerald Publishing LimitedLibrary Hi TechLibrary Hi Techhttps://www.emerald.com/insight/proxy/containerImg?link=/resource/publication/journal/99fd92e98a0844f49d6109cf8279321a/urn:emeraldgroup.com:asset:id:binary:lht.cover.jpghttps://www.emerald.com/insight/publication/issn/0737-8831/vol/42/iss/1?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestEditorial: Special selection on current bibliometrics and reviewshttps://www.emerald.com/insight/content/doi/10.1108/LHT-02-2024-591/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestEditorial: Special selection on current bibliometrics and reviewsEditorial: Special selection on current bibliometrics and reviews
Dickson K.W. Chiu, Kevin K.W. Ho
Library Hi Tech, Vol. 42, No. 1, pp.1-7]]>
Editorial: Special selection on current bibliometrics and reviews10.1108/LHT-02-2024-591Library Hi Tech2024-02-14© 2024 Emerald Publishing LimitedDickson K.W. ChiuKevin K.W. HoLibrary Hi Tech4212024-02-1410.1108/LHT-02-2024-591https://www.emerald.com/insight/content/doi/10.1108/LHT-02-2024-591/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Bibliometric analysis and science mapping of global scientific publications on technical vocational education training (TVET)https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0485/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWhile technical vocational education training (TVET) has been studied in-depth, the evolution and performance patterns of the subject remain unknown and limited. A bibliometric analysis was performed to examine the global scientific literature to assess the state of the art in TVET research over the past 23 years. The Web of Science (WoS) database was searched to explore TVET-related research from 1999 to 2021, resulting in the identification of 7,512 articles. The VOSviewer software was used to investigate the network of collaboration between authors, institutions, countries and author keywords. The results reveal that the subject categories of “education” and “educational research” are the most prolific contributors to TVET-related research, with 3,314 articles. Most of the previous studies in Phase I (1999–2006) focussed on human capital resources development in the TVET sector. Phase II (2007–2014) follows with the centralisation of TVET, focussing on technology transition in education. However, in Phase III (2015–2021), researchers appear to focus on vocational studies in higher education towards increasing the productivity of human resources via the implementation of technology transition. The valuable findings of this study can facilitate better understanding among scholars on the trends of TVET research developments and on the direction of future research.Bibliometric analysis and science mapping of global scientific publications on technical vocational education training (TVET)
Mohamad Zuber Abd Majid, Saraswathy Kasavan, Rusinah Siron
Library Hi Tech, Vol. 42, No. 1, pp.8-32

While technical vocational education training (TVET) has been studied in-depth, the evolution and performance patterns of the subject remain unknown and limited. A bibliometric analysis was performed to examine the global scientific literature to assess the state of the art in TVET research over the past 23 years.

The Web of Science (WoS) database was searched to explore TVET-related research from 1999 to 2021, resulting in the identification of 7,512 articles. The VOSviewer software was used to investigate the network of collaboration between authors, institutions, countries and author keywords.

The results reveal that the subject categories of “education” and “educational research” are the most prolific contributors to TVET-related research, with 3,314 articles. Most of the previous studies in Phase I (1999–2006) focussed on human capital resources development in the TVET sector. Phase II (2007–2014) follows with the centralisation of TVET, focussing on technology transition in education. However, in Phase III (2015–2021), researchers appear to focus on vocational studies in higher education towards increasing the productivity of human resources via the implementation of technology transition.

The valuable findings of this study can facilitate better understanding among scholars on the trends of TVET research developments and on the direction of future research.

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Bibliometric analysis and science mapping of global scientific publications on technical vocational education training (TVET)10.1108/LHT-12-2021-0485Library Hi Tech2022-08-05© 2022 Emerald Publishing LimitedMohamad Zuber Abd MajidSaraswathy KasavanRusinah SironLibrary Hi Tech4212022-08-0510.1108/LHT-12-2021-0485https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0485/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
A bibliometric analysis of domestic and international research on maker education in the post-epidemic erahttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0187/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to straighten out the research progress in the field of maker education, summarize the research hotspots and frontiers of maker education at home and abroad and provide path optimization suggestions for the research and development of this field. In total, 751 pieces of domestic and the foreign maker education research literature from 2014 to 2021 are retrieved and screened, and literature analysis methods such as keyword analysis and clustering map analysis are used to quantitatively analyze the quantity distribution, published journals, core authors, research institutions and subject keywords of the maker education literature. It is found that research in this field is still in the development stage, but the pandemic has severely inhibited maker education and related research. Frontiers at home and abroad have begun to pay attention to the impact of humanistic care on maker education. Strengthening the dialog between multidisciplinary theories requires cross-disciplinary research. Regional and cross-field cooperation and fully grasping the actual situation and constraints of the development of maker education are the cornerstones of bold innovation in maker education research. This paper uses bibliometric analysis to reveal the severe challenges to the development of maker education due to the normalization of the epidemic. By excavating the research hotspots and research frontiers in this field, it fills the gap that the current research in the field of maker education has not yet formed a complete theoretical framework and evaluation system.A bibliometric analysis of domestic and international research on maker education in the post-epidemic era
Xin Feng, Yue Zhang, Linjie Tong, Huan Yu
Library Hi Tech, Vol. 42, No. 1, pp.33-53

This paper aims to straighten out the research progress in the field of maker education, summarize the research hotspots and frontiers of maker education at home and abroad and provide path optimization suggestions for the research and development of this field.

In total, 751 pieces of domestic and the foreign maker education research literature from 2014 to 2021 are retrieved and screened, and literature analysis methods such as keyword analysis and clustering map analysis are used to quantitatively analyze the quantity distribution, published journals, core authors, research institutions and subject keywords of the maker education literature.

It is found that research in this field is still in the development stage, but the pandemic has severely inhibited maker education and related research. Frontiers at home and abroad have begun to pay attention to the impact of humanistic care on maker education. Strengthening the dialog between multidisciplinary theories requires cross-disciplinary research. Regional and cross-field cooperation and fully grasping the actual situation and constraints of the development of maker education are the cornerstones of bold innovation in maker education research.

This paper uses bibliometric analysis to reveal the severe challenges to the development of maker education due to the normalization of the epidemic. By excavating the research hotspots and research frontiers in this field, it fills the gap that the current research in the field of maker education has not yet formed a complete theoretical framework and evaluation system.

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A bibliometric analysis of domestic and international research on maker education in the post-epidemic era10.1108/LHT-04-2022-0187Library Hi Tech2022-10-03© 2022 Emerald Publishing LimitedXin FengYue ZhangLinjie TongHuan YuLibrary Hi Tech4212022-10-0310.1108/LHT-04-2022-0187https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0187/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Cluster analysis and network visualization of research in mucormycosis: a scientometric mapping of the global publications from 2011 to 2020https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0171/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestMucormycosis has evolved as a post-COVID-19 complication globally, especially in India. The research on fungus has been very primitive, and many scientific publications have been discovered. The current COVID-19 pandemic needs further investigation into this unusual fungal infection. This review study aims to provide a pen-picture to researchers, science policymakers and scientists about different bibliometric indicators related to the research literature on mucormycosis. The quantitative research was conducted using the established procedure of bibliometric investigation on data collected from Scopus from 2011 to 2020 using a validated search query. The search query consisted of keywords “Mucormycosis” or “Mucormycoses” or “Mucormycose” or “Mucorales Infection” or “Mucorales Infections” or “Black Fungus Infection” or “Black Fungus Infections” or “Zygomycosis” in the “Title-Keyword-Abstract” search option for data extraction. The analysis of data is performed using MS-Excel. Mapping was done with state-of-the-art visualization tools Biblioshiny and VOSviewer, using bibliometric indicators as units of analysis. The analysis reveals that the first publication on this topic was reported from 1923 onwards. In total, 9,423 authors contributed 1,896 papers with 11,437 collaborated authors, documents per author are 0.201, authors per document are 4.97 and co-authors per document are 6.03. Total records were published in 779 journals in the English language from 75 countries globally. Mucormycosis literature is mostly open access, with 1,210 publications available via different open access routes. The highest number of articles (204) published in the journal “Mycoses” with 1,333 authors received 4,875 cited references, and the h-index has 24. The growth of publications is exponential, as depicted by the Price Law. The USA has recorded a maximum number of publications at both country and institutional levels compared to the other nations. There has been extensive research on mucormycosis before the outbreak as a post-COVID complication, as indicated by the highest number of publications in 2019. The research hot spots have altered from “Mucormycosis,” “fungi,” “Zygomycosis” and “Drug efficacy”, “Drug Safety” to “Microbiology,” “Pathology,” “nucleotide sequence,” “surgical debridement” which indicates that potential area of research in the near future will be concerned with more extensive research in mucormycosis to develop standard treatment procedures to fight this infection. The quantity of scientific publications has also increased over time. The research and health community are called upon to join forces to activate existing knowledge, generate new insights and develop decision-supporting tools for health authorities in different nations to leverage vaccination in its transformational role toward successfully attaining nil cases of COVID-19. The analysis of collaboration, findings, the research networks and visualization makes this study novel and separates from traditional metrics analysis. To the best of the authors’ knowledge, this work is original, and no similar studies have been found with the objectives included here.Cluster analysis and network visualization of research in mucormycosis: a scientometric mapping of the global publications from 2011 to 2020
Dhruba Jyoti Borgohain, Mohammad Nazim, Manoj Kumar Verma
Library Hi Tech, Vol. 42, No. 1, pp.54-78

Mucormycosis has evolved as a post-COVID-19 complication globally, especially in India. The research on fungus has been very primitive, and many scientific publications have been discovered. The current COVID-19 pandemic needs further investigation into this unusual fungal infection. This review study aims to provide a pen-picture to researchers, science policymakers and scientists about different bibliometric indicators related to the research literature on mucormycosis.

The quantitative research was conducted using the established procedure of bibliometric investigation on data collected from Scopus from 2011 to 2020 using a validated search query. The search query consisted of keywords “Mucormycosis” or “Mucormycoses” or “Mucormycose” or “Mucorales Infection” or “Mucorales Infections” or “Black Fungus Infection” or “Black Fungus Infections” or “Zygomycosis” in the “Title-Keyword-Abstract” search option for data extraction. The analysis of data is performed using MS-Excel. Mapping was done with state-of-the-art visualization tools Biblioshiny and VOSviewer, using bibliometric indicators as units of analysis.

The analysis reveals that the first publication on this topic was reported from 1923 onwards. In total, 9,423 authors contributed 1,896 papers with 11,437 collaborated authors, documents per author are 0.201, authors per document are 4.97 and co-authors per document are 6.03. Total records were published in 779 journals in the English language from 75 countries globally. Mucormycosis literature is mostly open access, with 1,210 publications available via different open access routes. The highest number of articles (204) published in the journal “Mycoses” with 1,333 authors received 4,875 cited references, and the h-index has 24. The growth of publications is exponential, as depicted by the Price Law. The USA has recorded a maximum number of publications at both country and institutional levels compared to the other nations. There has been extensive research on mucormycosis before the outbreak as a post-COVID complication, as indicated by the highest number of publications in 2019.

The research hot spots have altered from “Mucormycosis,” “fungi,” “Zygomycosis” and “Drug efficacy”, “Drug Safety” to “Microbiology,” “Pathology,” “nucleotide sequence,” “surgical debridement” which indicates that potential area of research in the near future will be concerned with more extensive research in mucormycosis to develop standard treatment procedures to fight this infection. The quantity of scientific publications has also increased over time. The research and health community are called upon to join forces to activate existing knowledge, generate new insights and develop decision-supporting tools for health authorities in different nations to leverage vaccination in its transformational role toward successfully attaining nil cases of COVID-19.

The analysis of collaboration, findings, the research networks and visualization makes this study novel and separates from traditional metrics analysis. To the best of the authors’ knowledge, this work is original, and no similar studies have been found with the objectives included here.

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Cluster analysis and network visualization of research in mucormycosis: a scientometric mapping of the global publications from 2011 to 202010.1108/LHT-04-2022-0171Library Hi Tech2022-05-31© 2022 Emerald Publishing LimitedDhruba Jyoti BorgohainMohammad NazimManoj Kumar VermaLibrary Hi Tech4212022-05-3110.1108/LHT-04-2022-0171https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0171/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Overview of herbal therapy of acute and chronic pulmonary disease: a conceptual maphttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0200/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAcute and chronic obstructive pulmonary disease (COPD) is a common and progressive lung disease that makes breathing difficult over time and can even lead to death. Despite this, there is no definitive treatment for it yet. This study aims to evaluate the studies on single and combined herbal interventions affecting COPD. In this study, all articles published in English up to 2020 were extracted from the Web of Science (WoS) database and collected using Boolean tools based on keywords, titles and abstracts. Finally, the data required for bibliographic analysis, such as the author(s), publication year, academic journal, institution, country of origin, institution, financial institution and keywords were extracted from the database. A total of 573 articles were analyzed. The number of papers in the lung disease field showed an upward trend from 1984 to 2021, and there was a surge in paper publications in 2013. China, Korea and Brazil published the highest number of studies on COPD, and Chinese medical universities published the most papers. Three journals that received the highest scores in this study were the Journal of Ethnopharmacology, International Immunopharmacology and Plos One. In the cloud map, expression, activation and expression were the most frequently researched subjects. In the plus and author keywords, acute lung injury was the most commonly used word. Inflammation, expression of various genes, nitric oxide-dependent pathways, NFkappa B, TNFalpha and lipopolysaccharide-dependent pathways were the mechanisms underlying COPD. Scientometric analysis of COPD provides a vision for future research and policymaking. This study aimed to evaluate the studies on single and combined herbal interventions affecting COPD.Overview of herbal therapy of acute and chronic pulmonary disease: a conceptual map
Majid Balaei-Kahnamoei, Mohammad Al-Attar, Mahdiyeh Khazaneha, Mahboobeh Raeiszadeh, Samira Ghorbannia-Dellavar, Morteza Bagheri, Ebrahim Salimi-Sabour, Alireza Shahriary, Masoud Arabfard
Library Hi Tech, Vol. 42, No. 1, pp.79-100

Acute and chronic obstructive pulmonary disease (COPD) is a common and progressive lung disease that makes breathing difficult over time and can even lead to death. Despite this, there is no definitive treatment for it yet. This study aims to evaluate the studies on single and combined herbal interventions affecting COPD.

In this study, all articles published in English up to 2020 were extracted from the Web of Science (WoS) database and collected using Boolean tools based on keywords, titles and abstracts. Finally, the data required for bibliographic analysis, such as the author(s), publication year, academic journal, institution, country of origin, institution, financial institution and keywords were extracted from the database.

A total of 573 articles were analyzed. The number of papers in the lung disease field showed an upward trend from 1984 to 2021, and there was a surge in paper publications in 2013. China, Korea and Brazil published the highest number of studies on COPD, and Chinese medical universities published the most papers. Three journals that received the highest scores in this study were the Journal of Ethnopharmacology, International Immunopharmacology and Plos One. In the cloud map, expression, activation and expression were the most frequently researched subjects. In the plus and author keywords, acute lung injury was the most commonly used word. Inflammation, expression of various genes, nitric oxide-dependent pathways, NFkappa B, TNFalpha and lipopolysaccharide-dependent pathways were the mechanisms underlying COPD. Scientometric analysis of COPD provides a vision for future research and policymaking.

This study aimed to evaluate the studies on single and combined herbal interventions affecting COPD.

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Overview of herbal therapy of acute and chronic pulmonary disease: a conceptual map10.1108/LHT-04-2022-0200Library Hi Tech2022-12-15© 2022 Emerald Publishing LimitedMajid Balaei-KahnamoeiMohammad Al-AttarMahdiyeh KhazanehaMahboobeh RaeiszadehSamira Ghorbannia-DellavarMorteza BagheriEbrahim Salimi-SabourAlireza ShahriaryMasoud ArabfardLibrary Hi Tech4212022-12-1510.1108/LHT-04-2022-0200https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0200/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Aligning research trends of NIPERs, India (2010–2021)https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0173/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to measure the global research landscape of the National Institute of Pharmaceutical Education and Research (NIPER) of India on a set of quantitative and qualitative metrics in terms of research output toward exploring research trends and give an overview of collaborative practices by researchers of NIPERs. The present study has selected the Scopus database as a tool to retrieve potential publications of studied NIPERs during the last 12 years (2010–2021). NIPER-Mohali, NIPER-Hyderabad, NIPER-Ahmedabad, NIPER-Guwahati and NIPER-Kolkata have been selected for the study. The study has adopted a comprehensive search strategy to extract 3,926 publications data. VOS viewer 1.6.17, BibExcel and Microsoft Excel were used for data analysis and visualization. The global scientific research output of NIPERs accrued 3,926 publications with an average of 327 publications per year. The retrieved publications fetched a total of 67,772 citations with an average citation impact of 17.26. There observed a steady growth of publications from 168 to 509 registered with an average growth rate of 18.44%. The mean relative growth rate and doubling time of research output are 0.26 and 2.94. The authorship patterns explore collaborative trends as most of the publications were published by multiple authors (99.39%). NIPERs have expanded their outreach to collaborate with the USA, Malaysia, Saudi Arabia, Australia and the UK to collaborate on research and regulatory reforms exhibits in the USA as a major contributor. The present study is the first effort to evaluate the global research productivity of NIPERs and assess the current research trends on a set of quantitative and qualitative metrics to provide some insights into the complex dynamics of research productivity. The study’s outcome may help to identify the current research progress of NIPERs at the global level.Aligning research trends of NIPERs, India (2010–2021)
Sunil Tyagi
Library Hi Tech, Vol. 42, No. 1, pp.101-130

This study aims to measure the global research landscape of the National Institute of Pharmaceutical Education and Research (NIPER) of India on a set of quantitative and qualitative metrics in terms of research output toward exploring research trends and give an overview of collaborative practices by researchers of NIPERs.

The present study has selected the Scopus database as a tool to retrieve potential publications of studied NIPERs during the last 12 years (2010–2021). NIPER-Mohali, NIPER-Hyderabad, NIPER-Ahmedabad, NIPER-Guwahati and NIPER-Kolkata have been selected for the study. The study has adopted a comprehensive search strategy to extract 3,926 publications data. VOS viewer 1.6.17, BibExcel and Microsoft Excel were used for data analysis and visualization.

The global scientific research output of NIPERs accrued 3,926 publications with an average of 327 publications per year. The retrieved publications fetched a total of 67,772 citations with an average citation impact of 17.26. There observed a steady growth of publications from 168 to 509 registered with an average growth rate of 18.44%. The mean relative growth rate and doubling time of research output are 0.26 and 2.94. The authorship patterns explore collaborative trends as most of the publications were published by multiple authors (99.39%). NIPERs have expanded their outreach to collaborate with the USA, Malaysia, Saudi Arabia, Australia and the UK to collaborate on research and regulatory reforms exhibits in the USA as a major contributor.

The present study is the first effort to evaluate the global research productivity of NIPERs and assess the current research trends on a set of quantitative and qualitative metrics to provide some insights into the complex dynamics of research productivity. The study’s outcome may help to identify the current research progress of NIPERs at the global level.

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Aligning research trends of NIPERs, India (2010–2021)10.1108/LHT-04-2022-0173Library Hi Tech2022-06-14© 2022 Emerald Publishing LimitedSunil TyagiLibrary Hi Tech4212022-06-1410.1108/LHT-04-2022-0173https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0173/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Relationship between parents' health literacy and child health: systematic reviewhttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2021-0398/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestParents' health literacy is an important element to ensure the sound health of children. One of the major purposes of this study was to systematically collect and review the literature that identified the relationship between two variables: parents' health literacy and their child's health. To meet the purpose, the authors searched four well-reputed research databases such as Web of Science, Scopus, Google Scholar and LISTA (Library, Information Science and Technology Abstracts) comprehensively to collect the relevant research on the topic. Except for books, various types of content from different years were used for this review. The investigators used Preferred Items for Systematic Reviews and Meta-analysis guidelines to select eligible studies for this review. The authors also assessed the quality of the reviewed research in the light of well-reputed quality guidelines shared by Boynton and Greenhalgh (2004). The majority of the reviewed studies found a statistically significant relationship between parents' health literacy and the health of their children. Findings also identified that the majority of the reviewed literature scored from 9 to 12 on the quality assessment criteria. Results also highlighted that the majority of the reviewed research on parents' health literacy and child health has been conducted in the USA and utilized quantitative methods to conduct research on the topic under this study. This systematic review has multiple theoretical and practical implications for parents, policymakers and researchers. This is the first systematically collected and reviewed paper on the relationship between parents' health literacy and child health.Relationship between parents' health literacy and child health: systematic review
Syeda Hina Batool, Muhammad Safdar, Saima Eman
Library Hi Tech, Vol. 42, No. 1, pp.131-148

Parents' health literacy is an important element to ensure the sound health of children. One of the major purposes of this study was to systematically collect and review the literature that identified the relationship between two variables: parents' health literacy and their child's health.

To meet the purpose, the authors searched four well-reputed research databases such as Web of Science, Scopus, Google Scholar and LISTA (Library, Information Science and Technology Abstracts) comprehensively to collect the relevant research on the topic. Except for books, various types of content from different years were used for this review. The investigators used Preferred Items for Systematic Reviews and Meta-analysis guidelines to select eligible studies for this review. The authors also assessed the quality of the reviewed research in the light of well-reputed quality guidelines shared by Boynton and Greenhalgh (2004).

The majority of the reviewed studies found a statistically significant relationship between parents' health literacy and the health of their children. Findings also identified that the majority of the reviewed literature scored from 9 to 12 on the quality assessment criteria. Results also highlighted that the majority of the reviewed research on parents' health literacy and child health has been conducted in the USA and utilized quantitative methods to conduct research on the topic under this study.

This systematic review has multiple theoretical and practical implications for parents, policymakers and researchers.

This is the first systematically collected and reviewed paper on the relationship between parents' health literacy and child health.

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Relationship between parents' health literacy and child health: systematic review10.1108/LHT-11-2021-0398Library Hi Tech2022-07-19© 2022 Emerald Publishing LimitedSyeda Hina BatoolMuhammad SafdarSaima EmanLibrary Hi Tech4212022-07-1910.1108/LHT-11-2021-0398https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2021-0398/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Mapping the literature on the application of artificial intelligence in libraries (AAIL): a scientometric analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0331/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestArtificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is applied in all spheres of life as reflected in the review of the literature section here. As applicable in the field of libraries too, this study scientifically mapped the papers on AAIL and analyze its growth, collaboration network, trending topics, or research hot spots to highlight the challenges and opportunities in adopting AI-based advancements in library systems and processes. The study was developed with a bibliometric approach, considering a decade, 2012 to 2021 for data extraction from a premier database, Scopus. The steps followed are (1) identification, selection of keywords, and forming the search strategy with the approval of a panel of computer scientists and librarians and (2) design and development of a perfect algorithm to verify these selected keywords in title-abstract-keywords of Scopus (3) Performing data processing in some state-of-the-art bibliometric visualization tools, Biblioshiny R and VOSviewer (4) discussing the findings for practical implications of the study and limitations. As evident from several papers, not much research has been conducted on AI applications in libraries in comparison to topics like AI applications in cancer, health, medicine, education, and agriculture. As per the Price law, the growth pattern is exponential. The total number of papers relevant to the subject is 1462 (single and multi-authored) contributed by 5400 authors with 0.271 documents per author and around 4 authors per document. Papers occurred mostly in open-access journals. The productive journal is the Journal of Chemical Information and Modelling (NP = 63) while the highly consistent and impactful is the Journal of Machine Learning Research (z-index=63.58 and CPP = 56.17). In the case of authors, J Chen (z-index=28.86 and CPP = 43.75) is the most consistent and impactful author. At the country level, the USA has recorded the highest number of papers positioned at the center of the co-authorship network but at the institutional level, China takes the 1st position. The trending topics of research are machine learning, large dataset, deep learning, high-level languages, etc. The present information system has a high potential to improve if integrated with AI technologies. The number of scientific papers has increased over time. The evolution of themes like machine learning implicates AI as a broad field of knowledge that converges with other disciplines. The themes like large datasets imply that AI may be applied to analyze and interpret these data and support decision-making in public sector enterprises. Theme named high-level language emerged as a research hotspot which indicated that extensive research has been going on in this area to improve computer systems for facilitating the processing of data with high momentum. These implications are of high strategic worth for policymakers, library stakeholders, researchers and the government as a whole for decision-making. The analysis of collaboration, prolific authors/journals using consistency factor and CPP, testing the relationship between consistency (z-index) and impact (h-index), using state-of-the-art network visualization and cluster analysis techniques make this study novel and differentiates it from the traditional bibliometric analysis. To the best of the author's knowledge, this work is the first attempt to comprehend the research streams and provide a holistic view of research on the application of AI in libraries. The insights obtained from this analysis are instrumental for both academics and practitioners.Mapping the literature on the application of artificial intelligence in libraries (AAIL): a scientometric analysis
Dhruba Jyoti Borgohain, Raj Kumar Bhardwaj, Manoj Kumar Verma
Library Hi Tech, Vol. 42, No. 1, pp.149-179

Artificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is applied in all spheres of life as reflected in the review of the literature section here. As applicable in the field of libraries too, this study scientifically mapped the papers on AAIL and analyze its growth, collaboration network, trending topics, or research hot spots to highlight the challenges and opportunities in adopting AI-based advancements in library systems and processes.

The study was developed with a bibliometric approach, considering a decade, 2012 to 2021 for data extraction from a premier database, Scopus. The steps followed are (1) identification, selection of keywords, and forming the search strategy with the approval of a panel of computer scientists and librarians and (2) design and development of a perfect algorithm to verify these selected keywords in title-abstract-keywords of Scopus (3) Performing data processing in some state-of-the-art bibliometric visualization tools, Biblioshiny R and VOSviewer (4) discussing the findings for practical implications of the study and limitations.

As evident from several papers, not much research has been conducted on AI applications in libraries in comparison to topics like AI applications in cancer, health, medicine, education, and agriculture. As per the Price law, the growth pattern is exponential. The total number of papers relevant to the subject is 1462 (single and multi-authored) contributed by 5400 authors with 0.271 documents per author and around 4 authors per document. Papers occurred mostly in open-access journals. The productive journal is the Journal of Chemical Information and Modelling (NP = 63) while the highly consistent and impactful is the Journal of Machine Learning Research (z-index=63.58 and CPP = 56.17). In the case of authors, J Chen (z-index=28.86 and CPP = 43.75) is the most consistent and impactful author. At the country level, the USA has recorded the highest number of papers positioned at the center of the co-authorship network but at the institutional level, China takes the 1st position. The trending topics of research are machine learning, large dataset, deep learning, high-level languages, etc. The present information system has a high potential to improve if integrated with AI technologies.

The number of scientific papers has increased over time. The evolution of themes like machine learning implicates AI as a broad field of knowledge that converges with other disciplines. The themes like large datasets imply that AI may be applied to analyze and interpret these data and support decision-making in public sector enterprises. Theme named high-level language emerged as a research hotspot which indicated that extensive research has been going on in this area to improve computer systems for facilitating the processing of data with high momentum. These implications are of high strategic worth for policymakers, library stakeholders, researchers and the government as a whole for decision-making.

The analysis of collaboration, prolific authors/journals using consistency factor and CPP, testing the relationship between consistency (z-index) and impact (h-index), using state-of-the-art network visualization and cluster analysis techniques make this study novel and differentiates it from the traditional bibliometric analysis. To the best of the author's knowledge, this work is the first attempt to comprehend the research streams and provide a holistic view of research on the application of AI in libraries. The insights obtained from this analysis are instrumental for both academics and practitioners.

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Mapping the literature on the application of artificial intelligence in libraries (AAIL): a scientometric analysis10.1108/LHT-07-2022-0331Library Hi Tech2022-10-04© 2022 Emerald Publishing LimitedDhruba Jyoti BorgohainRaj Kumar BhardwajManoj Kumar VermaLibrary Hi Tech4212022-10-0410.1108/LHT-07-2022-0331https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0331/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Four decades of image processing: a bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2021-0351/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestImage Processing is an emerging field that is used to extract information from images. In recent years, this field has received immense attention from researchers, especially in the research domains of object detection, Biomedical Imaging and Semantic segmentation. In this study, a bibliometric analysis of publications related to image processing in the Science Expanded Index Extended (SCI-Expanded) has been performed. Several parameters have been analyzed such as annual scientific production, citations per article, most cited documents, top 20 articles, most relevant authors, authors evaluation using y-index, top and most relevant sources (journals) and hot topics. The Bibliographic data has been extracted from the Web of Science which is well known and the world's top database of bibliographic citations of multidisciplinary areas that covers the various journals of computer science, engineering, medical and social sciences. The research work in image processing is meager in the past decade, however, from 2014 to 2019, it increases dramatically. Recently, the IEEE Access journal is the most relevant source with an average of 115 publications per year. The USA is most productive and its publications are highly cited while China comes in second place. Image Segmentation, Feature Extraction and Medical Image Processing are hot topics in recent years. The National Natural Science Foundation of China provides 8% of all funds for Image Processing. As Image Processing is now becoming one of the most critical fields, the research productivity has enhanced during the past five years and more work is done while the era of 2005–2013 was the area with the least amount of work in this area. This research is novel in this regard that no previous research focuses on Bibliometric Analysis in the Image Processing domain, which is one of the hot research areas in computer science and engineering.Four decades of image processing: a bibliometric analysis
Uzair Khan, Hikmat Ullah Khan, Saqib Iqbal, Hamza Munir
Library Hi Tech, Vol. 42, No. 1, pp.180-202

Image Processing is an emerging field that is used to extract information from images. In recent years, this field has received immense attention from researchers, especially in the research domains of object detection, Biomedical Imaging and Semantic segmentation. In this study, a bibliometric analysis of publications related to image processing in the Science Expanded Index Extended (SCI-Expanded) has been performed. Several parameters have been analyzed such as annual scientific production, citations per article, most cited documents, top 20 articles, most relevant authors, authors evaluation using y-index, top and most relevant sources (journals) and hot topics.

The Bibliographic data has been extracted from the Web of Science which is well known and the world's top database of bibliographic citations of multidisciplinary areas that covers the various journals of computer science, engineering, medical and social sciences.

The research work in image processing is meager in the past decade, however, from 2014 to 2019, it increases dramatically. Recently, the IEEE Access journal is the most relevant source with an average of 115 publications per year. The USA is most productive and its publications are highly cited while China comes in second place. Image Segmentation, Feature Extraction and Medical Image Processing are hot topics in recent years. The National Natural Science Foundation of China provides 8% of all funds for Image Processing. As Image Processing is now becoming one of the most critical fields, the research productivity has enhanced during the past five years and more work is done while the era of 2005–2013 was the area with the least amount of work in this area.

This research is novel in this regard that no previous research focuses on Bibliometric Analysis in the Image Processing domain, which is one of the hot research areas in computer science and engineering.

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Four decades of image processing: a bibliometric analysis10.1108/LHT-10-2021-0351Library Hi Tech2022-07-08© 2022 Emerald Publishing LimitedUzair KhanHikmat Ullah KhanSaqib IqbalHamza MunirLibrary Hi Tech4212022-07-0810.1108/LHT-10-2021-0351https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2021-0351/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Frontier hotspots and trend evolution of cultural and creative design in China—an empirical research on CNKI-based bibliometricshttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2021-0353/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the continuous improvement of social and economic development as well as the rising level of demand for spiritual life, the design of cultural and creative products has ushered in new opportunities and challenges. Therefore the research related to cultural and creative products design is an inevitable choice for industrial innovation and market competition. The article aims to analyze the frontier hotspots and trend evolution of theoretical research on cultural and creative design in China by presenting different research fields, personnel and institutions embodied by cultural and creative products, thus providing a forward-looking development reference for China's special cultural and creative product design practice. In this paper, the visualized citation analysis tool — CiteSpace V is used to analyze and map the relevant literature of Chinese cultural and creative design in CNKI (Chinese National Knowledge Infrastructure) as the data sources, through bibliometric methods, in order to study the application development of Chinese cultural and creative design and provide reference for the application research of Chinese cultural and creative industries. With the improvement of China's comprehensive strength, cultural self-confidence and strategy are being paid more and more attention by scholars; with the future research of China's cultural and creative design theory, cross-integration becomes the future trend; with the gradual maturity of China's cultural and creative design methodology, how to choose the right method for pioneering research is a difficulty for the future development of cultural and creative design; with the continuous development of China's economy, the method construction of innovative cultural and creative industry system becomes the focus of future research; with the continuous progress of science and technology, the integration of emotion and product industry is the mainstream of future development on cultural and creative design. Through an objective empirical analysis of the development of Chinese cultural and creative products, it will broaden the research horizons of relevant scholars, understand the development direction of China's cultural and creative industries, enrich the design practice application of Chinese cultural and creative products, enhance the understanding of international counterparts on Chinese cultural and creative design research and promote the exchange among international counterparts.Frontier hotspots and trend evolution of cultural and creative design in China—an empirical research on CNKI-based bibliometrics
Xin Feng, Lei Yu, Weixin Kong, Jingya Wang
Library Hi Tech, Vol. 42, No. 1, pp.203-226

With the continuous improvement of social and economic development as well as the rising level of demand for spiritual life, the design of cultural and creative products has ushered in new opportunities and challenges. Therefore the research related to cultural and creative products design is an inevitable choice for industrial innovation and market competition. The article aims to analyze the frontier hotspots and trend evolution of theoretical research on cultural and creative design in China by presenting different research fields, personnel and institutions embodied by cultural and creative products, thus providing a forward-looking development reference for China's special cultural and creative product design practice.

In this paper, the visualized citation analysis tool — CiteSpace V is used to analyze and map the relevant literature of Chinese cultural and creative design in CNKI (Chinese National Knowledge Infrastructure) as the data sources, through bibliometric methods, in order to study the application development of Chinese cultural and creative design and provide reference for the application research of Chinese cultural and creative industries.

With the improvement of China's comprehensive strength, cultural self-confidence and strategy are being paid more and more attention by scholars; with the future research of China's cultural and creative design theory, cross-integration becomes the future trend; with the gradual maturity of China's cultural and creative design methodology, how to choose the right method for pioneering research is a difficulty for the future development of cultural and creative design; with the continuous development of China's economy, the method construction of innovative cultural and creative industry system becomes the focus of future research; with the continuous progress of science and technology, the integration of emotion and product industry is the mainstream of future development on cultural and creative design.

Through an objective empirical analysis of the development of Chinese cultural and creative products, it will broaden the research horizons of relevant scholars, understand the development direction of China's cultural and creative industries, enrich the design practice application of Chinese cultural and creative products, enhance the understanding of international counterparts on Chinese cultural and creative design research and promote the exchange among international counterparts.

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Frontier hotspots and trend evolution of cultural and creative design in China—an empirical research on CNKI-based bibliometrics10.1108/LHT-10-2021-0353Library Hi Tech2022-03-07© 2022 Emerald Publishing LimitedXin FengLei YuWeixin KongJingya WangLibrary Hi Tech4212022-03-0710.1108/LHT-10-2021-0353https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2021-0353/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
The evolution of e-government research over two decades: applying bibliometrics and science mapping analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-02-2022-0100/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study uses a bibliometric approach to analyze the overall status of e-government research by revealing patterns and trends that would help gain a broad understanding of global developments in the field and future directions. All documents related to e-government published from 2000 to 2019 were extracted from the Scopus and the Digital Government Reference Library databases. Bibexcel, Biblioshiny, and VOSviewer were used to perform the analyses and visualize the science mapping. The results showed that 21,320 documents related to e-government research were published and cited 263,179 times. The annual growth rate of e-government research has reached 21.50%. The regression analysis showed that the growth rate is expected to increase gradually over the coming years. Despite the significant role that conference papers play in the e-government literature, the impact of articles far exceeds conference papers. The University of Albany (SUNY) has played an important role in e-government research in terms of production and impact. Furthermore, the study revealed some countries that are expected to play a prominent role in e-government research, as well as several topics that may attract more attention soon. The results presented in this study and the comprehensive picture obtained about the e-government field make it an effective supplement to the expert evaluation. Thus, researchers, research managers, policymakers, institutions, funding agencies, and governments can rely on it.The evolution of e-government research over two decades: applying bibliometrics and science mapping analysis
Mina Ramzy, Bahaa Ibrahim
Library Hi Tech, Vol. 42, No. 1, pp.227-260

This study uses a bibliometric approach to analyze the overall status of e-government research by revealing patterns and trends that would help gain a broad understanding of global developments in the field and future directions.

All documents related to e-government published from 2000 to 2019 were extracted from the Scopus and the Digital Government Reference Library databases. Bibexcel, Biblioshiny, and VOSviewer were used to perform the analyses and visualize the science mapping.

The results showed that 21,320 documents related to e-government research were published and cited 263,179 times. The annual growth rate of e-government research has reached 21.50%. The regression analysis showed that the growth rate is expected to increase gradually over the coming years. Despite the significant role that conference papers play in the e-government literature, the impact of articles far exceeds conference papers. The University of Albany (SUNY) has played an important role in e-government research in terms of production and impact. Furthermore, the study revealed some countries that are expected to play a prominent role in e-government research, as well as several topics that may attract more attention soon.

The results presented in this study and the comprehensive picture obtained about the e-government field make it an effective supplement to the expert evaluation. Thus, researchers, research managers, policymakers, institutions, funding agencies, and governments can rely on it.

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The evolution of e-government research over two decades: applying bibliometrics and science mapping analysis10.1108/LHT-02-2022-0100Library Hi Tech2022-09-07© 2022 Emerald Publishing LimitedMina RamzyBahaa IbrahimLibrary Hi Tech4212022-09-0710.1108/LHT-02-2022-0100https://www.emerald.com/insight/content/doi/10.1108/LHT-02-2022-0100/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Impact of information credibility on social media information adoption behavior: a systematic literature reviewhttps://www.emerald.com/insight/content/doi/10.1108/LHT-03-2022-0165/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this systematic literature review was to collect and review the studies published worldwide in English language presenting the persuasive role of information/content credibility (IC) on the information adoption behavior (IAB) of social media users. The relevant literature was searched by the reviewers from two specialized databases, i.e. Library, Information Science and Technological Abstract (LISTA) and Library and Information Science Abstracts (LISA), whereas five general databases, i.e. Emerald, Springer Link, Taylor and Francis Online, ProQuest Dissertations and Theses Global and Google Scholar, using the Internet (portal) services available at the two Pakistani universities, i.e. University of Sargodha and the University of the Punjab. The search was updated in February 2022. The results of this study revealed that there was a significant impact of IC over the IAB of social media users. This study is the first of its nature that aims to collect and present a systematic review of the literature based on empirical evidence of the influential role of IC on the IAB of social media users.Impact of information credibility on social media information adoption behavior: a systematic literature review
Asim Mehmood Khan, Saira Hanif Soroya, Khalid Mahmood
Library Hi Tech, Vol. 42, No. 1, pp.261-283

The purpose of this systematic literature review was to collect and review the studies published worldwide in English language presenting the persuasive role of information/content credibility (IC) on the information adoption behavior (IAB) of social media users.

The relevant literature was searched by the reviewers from two specialized databases, i.e. Library, Information Science and Technological Abstract (LISTA) and Library and Information Science Abstracts (LISA), whereas five general databases, i.e. Emerald, Springer Link, Taylor and Francis Online, ProQuest Dissertations and Theses Global and Google Scholar, using the Internet (portal) services available at the two Pakistani universities, i.e. University of Sargodha and the University of the Punjab. The search was updated in February 2022.

The results of this study revealed that there was a significant impact of IC over the IAB of social media users.

This study is the first of its nature that aims to collect and present a systematic review of the literature based on empirical evidence of the influential role of IC on the IAB of social media users.

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Impact of information credibility on social media information adoption behavior: a systematic literature review10.1108/LHT-03-2022-0165Library Hi Tech2022-11-16© 2022 Emerald Publishing LimitedAsim Mehmood KhanSaira Hanif SoroyaKhalid MahmoodLibrary Hi Tech4212022-11-1610.1108/LHT-03-2022-0165https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2022-0165/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
An analysis of the current status of metaverse research based on bibliometricshttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0467/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe rise of the metaverse has brought profound changes to the economic and social operation models and injected new vitality into academic research. Although a large number of studies have emerged, there are few quantitative analyses of development frontiers and trends. From a bibliometric perspective, this paper selects 183 pieces of metaverse-related literature in the WoS core database since 2000 as the object of analysis. This paper sums up the characteristics of the literature using the methods of descriptive statistical analysis, keywords analysis, thematic evolution analysis and summarizes the core themes and the laws of metaverse development in each stage. The digital economy vision brought by the metaverse has led to an increasing number of researchers and achievements in this field. But the depth and breadth of research are still insufficient and unevenly distributed in the region, and the cross-fertilization fields need to be expanded. From the industry's point of view, VR games represented by Second Life and My World have contributed to the popularity of the metaverse. As technology progresses, the research hotspots in the field of metaverse gradually develop from conceptual research to artificial intelligence, blockchain, NFT and other technical applications. However, academic research has not yet caught up with the industry's pace and stays more in the concept discussion and preliminary application stage. A systematic overview of the current status, knowledge structure and hot issues of metaverse research is shown, which provides a thematic axis for this field, enriches and improves the quantitative analysis of its literature and provides a clear picture for researchers to continuously promote the development of this field. At the same time, it is necessary to warn that technological development is a double-edged sword. The process of metaverse development should return to rationality, respect the laws of its development and guarantee the healthy development of the metaverse by strengthening legal regulation and the ethical review of science and technology.An analysis of the current status of metaverse research based on bibliometrics
Xin Feng, Xu Wang, Ying Su
Library Hi Tech, Vol. 42, No. 1, pp.284-308

The rise of the metaverse has brought profound changes to the economic and social operation models and injected new vitality into academic research. Although a large number of studies have emerged, there are few quantitative analyses of development frontiers and trends.

From a bibliometric perspective, this paper selects 183 pieces of metaverse-related literature in the WoS core database since 2000 as the object of analysis. This paper sums up the characteristics of the literature using the methods of descriptive statistical analysis, keywords analysis, thematic evolution analysis and summarizes the core themes and the laws of metaverse development in each stage.

The digital economy vision brought by the metaverse has led to an increasing number of researchers and achievements in this field. But the depth and breadth of research are still insufficient and unevenly distributed in the region, and the cross-fertilization fields need to be expanded. From the industry's point of view, VR games represented by Second Life and My World have contributed to the popularity of the metaverse. As technology progresses, the research hotspots in the field of metaverse gradually develop from conceptual research to artificial intelligence, blockchain, NFT and other technical applications. However, academic research has not yet caught up with the industry's pace and stays more in the concept discussion and preliminary application stage.

A systematic overview of the current status, knowledge structure and hot issues of metaverse research is shown, which provides a thematic axis for this field, enriches and improves the quantitative analysis of its literature and provides a clear picture for researchers to continuously promote the development of this field. At the same time, it is necessary to warn that technological development is a double-edged sword. The process of metaverse development should return to rationality, respect the laws of its development and guarantee the healthy development of the metaverse by strengthening legal regulation and the ethical review of science and technology.

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An analysis of the current status of metaverse research based on bibliometrics10.1108/LHT-10-2022-0467Library Hi Tech2022-12-16© 2022 Emerald Publishing LimitedXin FengXu WangYing SuLibrary Hi Tech4212022-12-1610.1108/LHT-10-2022-0467https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0467/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
The scientific outcome in the domain of grey literature: bibliometric mapping and visualisation using the R-bibliometrix package and the VOSviewerhttps://www.emerald.com/insight/content/doi/10.1108/LHT-01-2022-0012/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe current study aims to map the scientific output of grey literature (GL) through bibliometric approaches. The source for data extraction is a comprehensive “indexing and abstracting” database, “Web of Science” (WOS). A lexical title search was applied to get the corpus of the study – a total of 4,599 articles were extracted for data analysis and visualisation. Further, the data were analysed by using the data analytical tools, R-studio and VOSViewer. The findings showed that the “publications” have substantially grown up during the timeline. The most productive phase (2018–2021) resulted in 47% of articles. The prominent sources were PLOS One and NeuroImage. The highest number of papers were contributed by Haddaway and Kumar. The most relevant countries were the USA and UK. The study is useful for researchers interested in the GL research domain. The study helps to understand the evolution of the GL to provide research support further in this area. The present study provides a new orientation to the scholarly output of the GL. The study is rigorous and all-inclusive based on analytical operations like the research networks, collaboration and visualisation. To the best of the authors' knowledge, this manuscript is original, and no similar works have been found with the research objectives included here.The scientific outcome in the domain of grey literature: bibliometric mapping and visualisation using the R-bibliometrix package and the VOSviewer
Javaid Ahmad Wani, Shabir Ahmad Ganaie
Library Hi Tech, Vol. 42, No. 1, pp.309-330

The current study aims to map the scientific output of grey literature (GL) through bibliometric approaches.

The source for data extraction is a comprehensive “indexing and abstracting” database, “Web of Science” (WOS). A lexical title search was applied to get the corpus of the study – a total of 4,599 articles were extracted for data analysis and visualisation. Further, the data were analysed by using the data analytical tools, R-studio and VOSViewer.

The findings showed that the “publications” have substantially grown up during the timeline. The most productive phase (2018–2021) resulted in 47% of articles. The prominent sources were PLOSOne and NeuroImage. The highest number of papers were contributed by Haddaway and Kumar. The most relevant countries were the USA and UK.

The study is useful for researchers interested in the GL research domain. The study helps to understand the evolution of the GL to provide research support further in this area.

The present study provides a new orientation to the scholarly output of the GL. The study is rigorous and all-inclusive based on analytical operations like the research networks, collaboration and visualisation. To the best of the authors' knowledge, this manuscript is original, and no similar works have been found with the research objectives included here.

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The scientific outcome in the domain of grey literature: bibliometric mapping and visualisation using the R-bibliometrix package and the VOSviewer10.1108/LHT-01-2022-0012Library Hi Tech2022-12-20© 2022 Emerald Publishing LimitedJavaid Ahmad WaniShabir Ahmad GanaieLibrary Hi Tech4212022-12-2010.1108/LHT-01-2022-0012https://www.emerald.com/insight/content/doi/10.1108/LHT-01-2022-0012/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Knowledge mapping of research data in China: a bibliometric study using visual analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2020-0285/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to provide a systematic and complete knowledge map for use by researchers working in the field of research data. Additionally, the aim is to help them quickly understand the authors' collaboration characteristics, institutional collaboration characteristics, trending research topics, evolutionary trends and research frontiers of scholars from the perspective of library informatics. The authors adopt the bibliometric method, and with the help of bibliometric analysis software CiteSpace and VOSviewer, quantitatively analyze the retrieved literature data. The analysis results are presented in the form of tables and visualization maps in this paper. The research results from this study show that collaboration between scholars and institutions is weak. It also identified the current hotspots in the field of research data, these being: data literacy education, research data sharing, data integration management and joint library cataloguing and data research support services, among others. The important dimensions to consider for future research are the library's participation in a trans-organizational and trans-stage integration of research data, functional improvement of a research data sharing platform, practice of data literacy education methods and models, and improvement of research data service quality. Previous literature reviews on research data are qualitative studies, while few are quantitative studies. Therefore, this paper uses quantitative research methods, such as bibliometrics, data mining and knowledge map, to reveal the research progress and trend systematically and intuitively on the research data topic based on published literature, and to provide a reference for the further study of this topic in the future.Knowledge mapping of research data in China: a bibliometric study using visual analysis
Chunlai Yan, Hongxia Li, Ruihui Pu, Jirawan Deeprasert, Nuttapong Jotikasthira
Library Hi Tech, Vol. 42, No. 1, pp.331-349

This study aims to provide a systematic and complete knowledge map for use by researchers working in the field of research data. Additionally, the aim is to help them quickly understand the authors' collaboration characteristics, institutional collaboration characteristics, trending research topics, evolutionary trends and research frontiers of scholars from the perspective of library informatics.

The authors adopt the bibliometric method, and with the help of bibliometric analysis software CiteSpace and VOSviewer, quantitatively analyze the retrieved literature data. The analysis results are presented in the form of tables and visualization maps in this paper.

The research results from this study show that collaboration between scholars and institutions is weak. It also identified the current hotspots in the field of research data, these being: data literacy education, research data sharing, data integration management and joint library cataloguing and data research support services, among others. The important dimensions to consider for future research are the library's participation in a trans-organizational and trans-stage integration of research data, functional improvement of a research data sharing platform, practice of data literacy education methods and models, and improvement of research data service quality.

Previous literature reviews on research data are qualitative studies, while few are quantitative studies. Therefore, this paper uses quantitative research methods, such as bibliometrics, data mining and knowledge map, to reveal the research progress and trend systematically and intuitively on the research data topic based on published literature, and to provide a reference for the further study of this topic in the future.

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Knowledge mapping of research data in China: a bibliometric study using visual analysis10.1108/LHT-11-2020-0285Library Hi Tech2022-07-14© 2022 Chunlai Yan, Hongxia Li, Ruihui Pu, Jirawan Deeprasert and Nuttapong JotikasthiraChunlai YanHongxia LiRuihui PuJirawan DeeprasertNuttapong JotikasthiraLibrary Hi Tech4212022-07-1410.1108/LHT-11-2020-0285https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2020-0285/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Chunlai Yan, Hongxia Li, Ruihui Pu, Jirawan Deeprasert and Nuttapong Jotikasthirahttp://creativecommons.org/licences/by/4.0/legalcode
Unveiling research productivity of premier IIMs of India (2010–2021)https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0262/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate the research productivity in terms of publications count of the top four premiers Indian Institute of Management (IIM) institutions and to explore the current research trends. Bibliometric techniques were employed to assess the performance in terms of research productivity of authors affiliated with IIMs. The Elsevier Scopus database was selected as a tool to extract the prospective publications data limiting the time frame for 2010–2021. The IIM-Ahmedabad, IIM-Bangalore, IIM-Calcutta and IIM-Lucknow have been selected for the study. The harvested data were analyzed by using the standard bibliometric indicators and scientometric parameters to measure the research landscape such as average growth rate, compound average growth rate, relative growth rate, doubling time, degree of collaboration, collaborative index, collaborative coefficient and modified collaborative coefficient. VOSviewer 1.6.17, BibExcel and Microsoft Excel were used for data analysis and visualization. The research productivity of selected four IIMs has shown an upward trend during the study period from 2010–2021 and accrued 4,397 publications with an average of 366 publications per year. The authorship patterns demonstrate the collaborative trends as most of the publications were produced by the multiple-authors (81.03%). IIM-Ahmedabad has produced the maximum number of publications (32.20%). The research productivity of IIMs has come out in collaboration with the 125 nations across the world and the USA, the UK, Canada, Germany and China are the front runners with IIMs in the collaborative network. The high magnitude and density of collaboration are evident from the calculated mean values of the degree of collaboration (0.82). The mean values of the collaborative index (2.64), collaborative coefficient (0.51) and modified collaborative coefficient (0.51) demonstrated a positive trend, but indicate the fluctuation in the collaborative pattern as time proceeds. The study is limited to the publications data indexed in the Scopus database, therefore the outcome may not be generalized across other databases available in the public domain like Web of Science (WoS), PubMed, Dimensions and Google Scholars. The findings of the study may aid academics and library professionals in identifying research trends, collaboration networks and evaluating other academic and research institutions by using the current advancement in data analysis. The present study is the first effort to evaluate the research productivity of IIMs. The expanding literature will make an important contribution to identifying patterns and evaluating current research trends on a worldwide scale.Unveiling research productivity of premier IIMs of India (2010–2021)
Sunil Tyagi
Library Hi Tech, Vol. 42, No. 1, pp.350-379

This study aims to investigate the research productivity in terms of publications count of the top four premiers Indian Institute of Management (IIM) institutions and to explore the current research trends.

Bibliometric techniques were employed to assess the performance in terms of research productivity of authors affiliated with IIMs. The Elsevier Scopus database was selected as a tool to extract the prospective publications data limiting the time frame for 2010–2021. The IIM-Ahmedabad, IIM-Bangalore, IIM-Calcutta and IIM-Lucknow have been selected for the study. The harvested data were analyzed by using the standard bibliometric indicators and scientometric parameters to measure the research landscape such as average growth rate, compound average growth rate, relative growth rate, doubling time, degree of collaboration, collaborative index, collaborative coefficient and modified collaborative coefficient. VOSviewer 1.6.17, BibExcel and Microsoft Excel were used for data analysis and visualization.

The research productivity of selected four IIMs has shown an upward trend during the study period from 2010–2021 and accrued 4,397 publications with an average of 366 publications per year. The authorship patterns demonstrate the collaborative trends as most of the publications were produced by the multiple-authors (81.03%). IIM-Ahmedabad has produced the maximum number of publications (32.20%). The research productivity of IIMs has come out in collaboration with the 125 nations across the world and the USA, the UK, Canada, Germany and China are the front runners with IIMs in the collaborative network. The high magnitude and density of collaboration are evident from the calculated mean values of the degree of collaboration (0.82). The mean values of the collaborative index (2.64), collaborative coefficient (0.51) and modified collaborative coefficient (0.51) demonstrated a positive trend, but indicate the fluctuation in the collaborative pattern as time proceeds.

The study is limited to the publications data indexed in the Scopus database, therefore the outcome may not be generalized across other databases available in the public domain like Web of Science (WoS), PubMed, Dimensions and Google Scholars.

The findings of the study may aid academics and library professionals in identifying research trends, collaboration networks and evaluating other academic and research institutions by using the current advancement in data analysis.

The present study is the first effort to evaluate the research productivity of IIMs. The expanding literature will make an important contribution to identifying patterns and evaluating current research trends on a worldwide scale.

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Unveiling research productivity of premier IIMs of India (2010–2021)10.1108/LHT-05-2022-0262Library Hi Tech2022-07-19© 2022 Emerald Publishing LimitedSunil TyagiLibrary Hi Tech4212022-07-1910.1108/LHT-05-2022-0262https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0262/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Exploring the effectiveness of VR-based product demonstrations featuring items of furniturehttps://www.emerald.com/insight/content/doi/10.1108/LHT-01-2022-0001/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to present a case study of virtual-reality-based product demonstrations featuring items of furniture. The results will be of use in further design and development of virtual-reality-based product demonstration systems and could also support effective student learning. A new method was introduced to guide the experiment by confirming orthogonal arrays. User interactions were then planned, and a furniture demonstration system was implemented. The experiment comprised two stages. In the evaluation stage, participants were invited to experience the virtual-reality (VR)-based furniture demonstration system and complete a user experience (UX) survey. Taguchi-style robust design methods were used to design orthogonal table experiments and planning and design operation methods were used to implement an experimental display system in order to obtain optimized combinations of control factors and levels. The second stage involved a confirmatory test for the optimized combinations. A pilot questionnaire was first applied to survey demonstration scenarios that are important to customers. The author found in terms of furniture products, product interactive display through VR can achieve good user satisfaction through quality design planning. VR can better grasp the characteristics of products than paper catalogs and website catalogs. And VR can better grasp the characteristics of products than online videos. For “interactive inspection”, “function simulation”, “style customization” and “set-out customization” were the most valuable demonstration scenarios for customers. The results of the experiment confirmed that the “overall rating”, “hedonic appeal” and “practical quality” were the three most important optimized operating methods, constituting a benchmark of user satisfaction. The author found that it is possible to design and build a VR-based furniture demonstration system with a good level of usability when a suitable quality design method is applied. The optimized user interaction indicators and implementation experience for the VR-based product demonstration presented in this study will be of use in further design and development of similar systems.Exploring the effectiveness of VR-based product demonstrations featuring items of furniture
Chengyao Xin
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to present a case study of virtual-reality-based product demonstrations featuring items of furniture. The results will be of use in further design and development of virtual-reality-based product demonstration systems and could also support effective student learning.

A new method was introduced to guide the experiment by confirming orthogonal arrays. User interactions were then planned, and a furniture demonstration system was implemented. The experiment comprised two stages. In the evaluation stage, participants were invited to experience the virtual-reality (VR)-based furniture demonstration system and complete a user experience (UX) survey. Taguchi-style robust design methods were used to design orthogonal table experiments and planning and design operation methods were used to implement an experimental display system in order to obtain optimized combinations of control factors and levels. The second stage involved a confirmatory test for the optimized combinations. A pilot questionnaire was first applied to survey demonstration scenarios that are important to customers.

The author found in terms of furniture products, product interactive display through VR can achieve good user satisfaction through quality design planning. VR can better grasp the characteristics of products than paper catalogs and website catalogs. And VR can better grasp the characteristics of products than online videos. For “interactive inspection”, “function simulation”, “style customization” and “set-out customization” were the most valuable demonstration scenarios for customers. The results of the experiment confirmed that the “overall rating”, “hedonic appeal” and “practical quality” were the three most important optimized operating methods, constituting a benchmark of user satisfaction.

The author found that it is possible to design and build a VR-based furniture demonstration system with a good level of usability when a suitable quality design method is applied. The optimized user interaction indicators and implementation experience for the VR-based product demonstration presented in this study will be of use in further design and development of similar systems.

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Exploring the effectiveness of VR-based product demonstrations featuring items of furniture10.1108/LHT-01-2022-0001Library Hi Tech2022-08-08© 2022 Emerald Publishing LimitedChengyao XinLibrary Hi Techahead-of-printahead-of-print2022-08-0810.1108/LHT-01-2022-0001https://www.emerald.com/insight/content/doi/10.1108/LHT-01-2022-0001/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Comparative research on structure function recognition based on deep learninghttps://www.emerald.com/insight/content/doi/10.1108/LHT-01-2022-0025/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe research on structure function recognition mainly concentrates on identifying a specific part of academic literature and its applicability in the multidiscipline perspective. A specific part of academic literature, such as sentences, paragraphs and chapter contents are also called a level of academic literature in this paper. There are a few comparative research works on the relationship between models, disciplines and levels in the process of structure function recognition. In view of this, comparative research on structure function recognition based on deep learning has been conducted in this paper. An experimental corpus, including the academic literature of traditional Chinese medicine, library and information science, computer science, environmental science and phytology, was constructed. Meanwhile, deep learning models such as convolutional neural networks (CNN), long and short-term memory (LSTM) and bidirectional encoder representation from transformers (BERT) were used. The comparative experiments of structure function recognition were conducted with the help of the deep learning models from the multilevel perspective. The experimental results showed that (1) the BERT model performed best, with F1 values of 78.02, 89.41 and 94.88%, respectively at the level of sentence, paragraph and chapter content. (2) The deep learning models performed better on the academic literature of traditional Chinese medicine than on other disciplines in most cases, e.g. F1 values of CNN, LSTM and BERT, respectively arrived at 71.14, 69.96 and 78.02% at the level of sentence. (3) The deep learning models performed better at the level of chapter content than other levels, the maximum F1 values of CNN, LSTM and BERT at 91.92, 74.90 and 94.88%, respectively. Furthermore, the confusion matrix of recognition results on the academic literature was introduced to find out the reason for misrecognition. This paper may inspire other research on structure function recognition, and provide a valuable reference for the analysis of influencing factors.Comparative research on structure function recognition based on deep learning
Zhongbao Liu, Wenjuan Zhao
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The research on structure function recognition mainly concentrates on identifying a specific part of academic literature and its applicability in the multidiscipline perspective. A specific part of academic literature, such as sentences, paragraphs and chapter contents are also called a level of academic literature in this paper. There are a few comparative research works on the relationship between models, disciplines and levels in the process of structure function recognition. In view of this, comparative research on structure function recognition based on deep learning has been conducted in this paper.

An experimental corpus, including the academic literature of traditional Chinese medicine, library and information science, computer science, environmental science and phytology, was constructed. Meanwhile, deep learning models such as convolutional neural networks (CNN), long and short-term memory (LSTM) and bidirectional encoder representation from transformers (BERT) were used. The comparative experiments of structure function recognition were conducted with the help of the deep learning models from the multilevel perspective.

The experimental results showed that (1) the BERT model performed best, with F1 values of 78.02, 89.41 and 94.88%, respectively at the level of sentence, paragraph and chapter content. (2) The deep learning models performed better on the academic literature of traditional Chinese medicine than on other disciplines in most cases, e.g. F1 values of CNN, LSTM and BERT, respectively arrived at 71.14, 69.96 and 78.02% at the level of sentence. (3) The deep learning models performed better at the level of chapter content than other levels, the maximum F1 values of CNN, LSTM and BERT at 91.92, 74.90 and 94.88%, respectively. Furthermore, the confusion matrix of recognition results on the academic literature was introduced to find out the reason for misrecognition.

This paper may inspire other research on structure function recognition, and provide a valuable reference for the analysis of influencing factors.

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Comparative research on structure function recognition based on deep learning10.1108/LHT-01-2022-0025Library Hi Tech2022-08-02© 2022 Emerald Publishing LimitedZhongbao LiuWenjuan ZhaoLibrary Hi Techahead-of-printahead-of-print2022-08-0210.1108/LHT-01-2022-0025https://www.emerald.com/insight/content/doi/10.1108/LHT-01-2022-0025/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Does visual attention help? Towards better understanding and predicting users’ good abandonment behavior in mobile searchhttps://www.emerald.com/insight/content/doi/10.1108/LHT-01-2022-0076/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestGood abandonment behavior refers to users obtaining direct answers via search engine results pages (SERPs) without clicking any search result, which occurs commonly in mobile search. This study aims to better understand users' good abandonment behavior and perception, and then construct a good abandonment prediction model for mobile search with improved performance. In this study, an in situ user mobile search experiment (N = 43) and a crowdsourcing survey (N = 1,379) were conducted. Good abandonment behavior was analyzed from a quantitative perspective, exploring users' search behavior characteristics from four aspects: session and query, SERPs, gestures and eye-tracking data. Users show less engagement with SERPs in good abandonment, spending less time and using fewer gestures, and they pay more visual attention to answer-like results. It was also found that good abandonment behavior is often related to users' perceived difficulty of the searching tasks and trustworthiness in the search engine. A good abandonment prediction model in mobile search was constructed with a high accuracy (97.14%). This study is the first to explore eye-tracking characteristics of users' good abandonment behavior in mobile search, and to explore users' perception of their good abandonment behavior. Visual attention features are introduced into good abandonment prediction in mobile search for the first time and proved to be important predictors in the proposed model.Does visual attention help? Towards better understanding and predicting users’ good abandonment behavior in mobile search
Dan Wu, Shutian Zhang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Good abandonment behavior refers to users obtaining direct answers via search engine results pages (SERPs) without clicking any search result, which occurs commonly in mobile search. This study aims to better understand users' good abandonment behavior and perception, and then construct a good abandonment prediction model for mobile search with improved performance.

In this study, an in situ user mobile search experiment (N = 43) and a crowdsourcing survey (N = 1,379) were conducted. Good abandonment behavior was analyzed from a quantitative perspective, exploring users' search behavior characteristics from four aspects: session and query, SERPs, gestures and eye-tracking data.

Users show less engagement with SERPs in good abandonment, spending less time and using fewer gestures, and they pay more visual attention to answer-like results. It was also found that good abandonment behavior is often related to users' perceived difficulty of the searching tasks and trustworthiness in the search engine. A good abandonment prediction model in mobile search was constructed with a high accuracy (97.14%).

This study is the first to explore eye-tracking characteristics of users' good abandonment behavior in mobile search, and to explore users' perception of their good abandonment behavior. Visual attention features are introduced into good abandonment prediction in mobile search for the first time and proved to be important predictors in the proposed model.

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Does visual attention help? Towards better understanding and predicting users’ good abandonment behavior in mobile search10.1108/LHT-01-2022-0076Library Hi Tech2022-06-03© 2022 Emerald Publishing LimitedDan WuShutian ZhangLibrary Hi Techahead-of-printahead-of-print2022-06-0310.1108/LHT-01-2022-0076https://www.emerald.com/insight/content/doi/10.1108/LHT-01-2022-0076/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Impact of social media addiction on librarians' performance: mediating role of task distraction, moderating role of effective self-controlhttps://www.emerald.com/insight/content/doi/10.1108/LHT-01-2022-0078/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study was initiated to test the relationship of social media site addiction on librarians' performance. Furthermore, the study also tested the mediating role of task distraction and moderating role of effective self-control in aforesaid relationship. This was an empirical study, and data for the research were collected through a standardized questionnaire from 503 librarians who were having Facebook accounts and are questionnaire developed through “Google Forms” and the link of the questionnaire was distributed using Facebook groups. Data was analyzed using descriptive analysis, correlation, Baron and Kenny's approach, and Normal Test Theory. Results indicate that social media addiction is an important factor for that is reducing librarians' performance. At the same time task distraction also adds to negative impact of social media addiction on librarians' performance. However, effective self-control can reduce the negative impact of social media addiction on their performance. This research has some important theoretical as well as practical implications for librarians, library management, and well as for policy makers and government. Social media is commonly used for communication but when it becomes addiction, it can reduce the employees' performance. Most of existing researched focused on positive aspects of social media; only few researches explored the negative impacts of social media. The proposed relationship was never tested on librarians. This study filled this literature gap and proposed as well as empirically tested a model for evaluating negative impact of social media on librarians' performance.Impact of social media addiction on librarians' performance: mediating role of task distraction, moderating role of effective self-control
Asad Javed, Samar Hayat Khan, Muhammad Aamir Shafique Khan, Hassan Ahmed Shah
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study was initiated to test the relationship of social media site addiction on librarians' performance. Furthermore, the study also tested the mediating role of task distraction and moderating role of effective self-control in aforesaid relationship.

This was an empirical study, and data for the research were collected through a standardized questionnaire from 503 librarians who were having Facebook accounts and are questionnaire developed through “Google Forms” and the link of the questionnaire was distributed using Facebook groups. Data was analyzed using descriptive analysis, correlation, Baron and Kenny's approach, and Normal Test Theory.

Results indicate that social media addiction is an important factor for that is reducing librarians' performance. At the same time task distraction also adds to negative impact of social media addiction on librarians' performance. However, effective self-control can reduce the negative impact of social media addiction on their performance.

This research has some important theoretical as well as practical implications for librarians, library management, and well as for policy makers and government.

Social media is commonly used for communication but when it becomes addiction, it can reduce the employees' performance. Most of existing researched focused on positive aspects of social media; only few researches explored the negative impacts of social media. The proposed relationship was never tested on librarians. This study filled this literature gap and proposed as well as empirically tested a model for evaluating negative impact of social media on librarians' performance.

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Impact of social media addiction on librarians' performance: mediating role of task distraction, moderating role of effective self-control10.1108/LHT-01-2022-0078Library Hi Tech2023-05-30© 2023 Emerald Publishing LimitedAsad JavedSamar Hayat KhanMuhammad Aamir Shafique KhanHassan Ahmed ShahLibrary Hi Techahead-of-printahead-of-print2023-05-3010.1108/LHT-01-2022-0078https://www.emerald.com/insight/content/doi/10.1108/LHT-01-2022-0078/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Learning efficacy of understanding by design-Internet of Things (UbD-IoT) education integrated with design thinking and computational thinkinghttps://www.emerald.com/insight/content/doi/10.1108/LHT-01-2023-0002/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study integrated understanding by design-Internet of Things (UbD-IoT) education with design thinking and computational thinking to plan and design an IoT course. Cross-domain application examples were employed to train students in problem-understanding, deep thinking and logical design for IoT applications. In this study, the UbD model was integrated with design thinking and computational thinking in the planning and design of an IoT course. The examples of cross-domain applications were used to train students to understand a problem by engaging themselves in deep thinking and helping them think and design logically for an IoT application. The UbD-IoT learning design greatly decreased students' overall cognitive load. UbD-IoT learning has a significant impact on the performance of computational thinking in problem-solving and problem-understanding. The impact of UbD-IoT learning on logical thinking and program learning cognition in students needs to be verified. The results of this study have shown that the UbD model is effective in reducing the cognitive load of a learning course and also strengthens T-competencies in the lateral skills of computational thinking, critical problem-solving, logical thinking and creative thinking.Learning efficacy of understanding by design-Internet of Things (UbD-IoT) education integrated with design thinking and computational thinking
Ying Hsun Lai
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study integrated understanding by design-Internet of Things (UbD-IoT) education with design thinking and computational thinking to plan and design an IoT course. Cross-domain application examples were employed to train students in problem-understanding, deep thinking and logical design for IoT applications.

In this study, the UbD model was integrated with design thinking and computational thinking in the planning and design of an IoT course. The examples of cross-domain applications were used to train students to understand a problem by engaging themselves in deep thinking and helping them think and design logically for an IoT application.

The UbD-IoT learning design greatly decreased students' overall cognitive load. UbD-IoT learning has a significant impact on the performance of computational thinking in problem-solving and problem-understanding. The impact of UbD-IoT learning on logical thinking and program learning cognition in students needs to be verified.

The results of this study have shown that the UbD model is effective in reducing the cognitive load of a learning course and also strengthens T-competencies in the lateral skills of computational thinking, critical problem-solving, logical thinking and creative thinking.

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Learning efficacy of understanding by design-Internet of Things (UbD-IoT) education integrated with design thinking and computational thinking10.1108/LHT-01-2023-0002Library Hi Tech2023-12-29© 2023 Emerald Publishing LimitedYing Hsun LaiLibrary Hi Techahead-of-printahead-of-print2023-12-2910.1108/LHT-01-2023-0002https://www.emerald.com/insight/content/doi/10.1108/LHT-01-2023-0002/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Incorporating mobile learning and the CAP(E) framework in improving the receptive skills of studentshttps://www.emerald.com/insight/content/doi/10.1108/LHT-01-2023-0008/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestGiven the persistent receptive skills challenges faced by language learners and the numerous merits of using technologically-enhanced learning in the form of mobile-assisted language learning in language teaching, this study decides to incorporate a context-analysis-practice-exploration lesson-planning framework with mobile learning to improve the receptive skills of learners. This step is necessary on the recommendation by scholarly research that while implementing technology, teacher training, digital literacy and expertise, incorporating good teaching practices and lesson planning frameworks may assist in yielding positive results. This study decides to utilize a mixed-method research design through an experimental approach to elicit information from 90 EFL students concerning the effectiveness of incorporating the context-analysis-practice-exploration framework in a mobile-leaning mode instructional delivery to improve their reading and listening skills. After collecting and analyzing data, the study found that while the participants perceived enhanced-mobile learning to make lessons enjoyable, integrating this framework and m-learning improved their reading skills. This study used notable findings to make pedagogical conclusions on the objective of this study. This study contributes through empirical evidence on the effectiveness of incorporating mobile learning and a responsive lesson planning framework towards improving English as a foreign language learners' learning outcome. Besides, this study is the first to probe and unpack the effectiveness of a responsive lesson-planning framework in language education.Incorporating mobile learning and the CAP(E) framework in improving the receptive skills of students
Esra Istek, Chinaza Solomon Ironsi
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Given the persistent receptive skills challenges faced by language learners and the numerous merits of using technologically-enhanced learning in the form of mobile-assisted language learning in language teaching, this study decides to incorporate a context-analysis-practice-exploration lesson-planning framework with mobile learning to improve the receptive skills of learners. This step is necessary on the recommendation by scholarly research that while implementing technology, teacher training, digital literacy and expertise, incorporating good teaching practices and lesson planning frameworks may assist in yielding positive results.

This study decides to utilize a mixed-method research design through an experimental approach to elicit information from 90 EFL students concerning the effectiveness of incorporating the context-analysis-practice-exploration framework in a mobile-leaning mode instructional delivery to improve their reading and listening skills.

After collecting and analyzing data, the study found that while the participants perceived enhanced-mobile learning to make lessons enjoyable, integrating this framework and m-learning improved their reading skills. This study used notable findings to make pedagogical conclusions on the objective of this study.

This study contributes through empirical evidence on the effectiveness of incorporating mobile learning and a responsive lesson planning framework towards improving English as a foreign language learners' learning outcome. Besides, this study is the first to probe and unpack the effectiveness of a responsive lesson-planning framework in language education.

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Incorporating mobile learning and the CAP(E) framework in improving the receptive skills of students10.1108/LHT-01-2023-0008Library Hi Tech2023-06-27© 2023 Emerald Publishing LimitedEsra IstekChinaza Solomon IronsiLibrary Hi Techahead-of-printahead-of-print2023-06-2710.1108/LHT-01-2023-0008https://www.emerald.com/insight/content/doi/10.1108/LHT-01-2023-0008/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Do linguistic features of research article titles affect received online attention? A corpus-based analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-01-2023-0022/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestScientific impact is traditionally assessed with citation-based metrics. Recently, altmetric indices have been introduced to measure scientific impact both within academia and among the general public. However, little research has investigated the association between the linguistic features of research article titles and received online attention. To address this issue, the authors examined in the present study the relationship between a series of title features and altmetric attention scores. The data included 8,658 titles of Science articles. The authors extracted six features from the title corpus (i.e. mean word length, lexical sophistication, lexical density, title length, syntactic dependency length and sentiment score). The authors performed Spearman’s rank analyses to analyze the correlations between these features and online impact. The authors then conducted a stepwise backward multiple regression to identify predictors for the articles' online impact. The correlation analyses revealed weak but significant correlations between all six title features and the altmetric attention scores. The regression analysis showed that four linguistic features of titles (mean word length, lexical sophistication, title length and sentiment score) have modest predictive effects on the online impact of research articles. In the internet era with the widespread use of social media and online platforms, it is becoming increasingly important for researchers to adapt to the changing context of research evaluation. This study identifies several linguistic features that deserve scholars’ attention in the writing of article titles. It also has practical implications for academic administrators and pedagogical implications for instructors of academic writing courses.Do linguistic features of research article titles affect received online attention? A corpus-based analysis
Haoran Zhu, Xueying Liu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Scientific impact is traditionally assessed with citation-based metrics. Recently, altmetric indices have been introduced to measure scientific impact both within academia and among the general public. However, little research has investigated the association between the linguistic features of research article titles and received online attention. To address this issue, the authors examined in the present study the relationship between a series of title features and altmetric attention scores.

The data included 8,658 titles of Science articles. The authors extracted six features from the title corpus (i.e. mean word length, lexical sophistication, lexical density, title length, syntactic dependency length and sentiment score). The authors performed Spearman’s rank analyses to analyze the correlations between these features and online impact. The authors then conducted a stepwise backward multiple regression to identify predictors for the articles' online impact.

The correlation analyses revealed weak but significant correlations between all six title features and the altmetric attention scores. The regression analysis showed that four linguistic features of titles (mean word length, lexical sophistication, title length and sentiment score) have modest predictive effects on the online impact of research articles.

In the internet era with the widespread use of social media and online platforms, it is becoming increasingly important for researchers to adapt to the changing context of research evaluation. This study identifies several linguistic features that deserve scholars’ attention in the writing of article titles. It also has practical implications for academic administrators and pedagogical implications for instructors of academic writing courses.

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Do linguistic features of research article titles affect received online attention? A corpus-based analysis10.1108/LHT-01-2023-0022Library Hi Tech2023-06-29© 2023 Emerald Publishing LimitedHaoran ZhuXueying LiuLibrary Hi Techahead-of-printahead-of-print2023-06-2910.1108/LHT-01-2023-0022https://www.emerald.com/insight/content/doi/10.1108/LHT-01-2023-0022/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Designing a branding model for academic libraries affiliated with the Ministry of Science, Research and Technology in Iranhttps://www.emerald.com/insight/content/doi/10.1108/LHT-02-2022-0111/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study identifies factors affecting brand building for academic libraries affiliated with the Ministry of Science, Research and Technology (MSRT) in Iran. This research applied the grounded theory method based on the three open, axial and selective coding steps (Strauss and Corbin, 1998). The research tool was interviews conducted with 20 experts in librarianship, marketing and branding. Library building architecture, library information resources and services, librarians' branding, marketing activities and library management are the causal conditions affecting brand building. The national economic situation, the digital publishing situation in the country and different characteristics of the new library community are the intervening conditions affecting brand building. The role of other libraries in society in the scientific education of the new generation provides contextual conditions for brand building. The higher education system and the library parent organization play a part in the operative actions/interactions for brand building. The consequences of brand building are brand image development, brand excellence and brand behavioral loyalty for libraries. Library brand identity is also a core category in brand building. Facing steep challenges by emergent services, academic libraries are ill-prepared to meet the needs of the new information society solely with traditional services and functions. Academic libraries are required to rebrand themselves to be more successful at delivering a strong performance within a changing information environment by enhancing their brand image and establishing a more effective relationship with users.Designing a branding model for academic libraries affiliated with the Ministry of Science, Research and Technology in Iran
Farzane Sahli, Sirous Alidousti, Nader Naghshineh
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study identifies factors affecting brand building for academic libraries affiliated with the Ministry of Science, Research and Technology (MSRT) in Iran.

This research applied the grounded theory method based on the three open, axial and selective coding steps (Strauss and Corbin, 1998). The research tool was interviews conducted with 20 experts in librarianship, marketing and branding.

Library building architecture, library information resources and services, librarians' branding, marketing activities and library management are the causal conditions affecting brand building. The national economic situation, the digital publishing situation in the country and different characteristics of the new library community are the intervening conditions affecting brand building. The role of other libraries in society in the scientific education of the new generation provides contextual conditions for brand building. The higher education system and the library parent organization play a part in the operative actions/interactions for brand building. The consequences of brand building are brand image development, brand excellence and brand behavioral loyalty for libraries. Library brand identity is also a core category in brand building.

Facing steep challenges by emergent services, academic libraries are ill-prepared to meet the needs of the new information society solely with traditional services and functions. Academic libraries are required to rebrand themselves to be more successful at delivering a strong performance within a changing information environment by enhancing their brand image and establishing a more effective relationship with users.

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Designing a branding model for academic libraries affiliated with the Ministry of Science, Research and Technology in Iran10.1108/LHT-02-2022-0111Library Hi Tech2023-01-24© 2023 Emerald Publishing LimitedFarzane SahliSirous AlidoustiNader NaghshinehLibrary Hi Techahead-of-printahead-of-print2023-01-2410.1108/LHT-02-2022-0111https://www.emerald.com/insight/content/doi/10.1108/LHT-02-2022-0111/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effect of student self-efficacy on learning outcomes in a business simulation mobile game: a quasi-experimental studyhttps://www.emerald.com/insight/content/doi/10.1108/LHT-02-2022-0114/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study has two objectives: to explore the factors that influence student self-efficacy regarding engagement and learning outcomes in a business simulation game course and to compare the difference between hierarchical and general teaching methods. From September 2021 to May 2022, a questionnaire was administered to 126 students in a business simulation game course at the Zhongshan Institute, University of Electronic Science and Technology of China. Data were analyzed using nonparametric paired samples tests and linear regression. The results showed that student self-efficacy, engagement and learning outcomes were significantly higher with the hierarchical teaching method than with the general teaching method. There were also differences in the factors that influenced self-efficacy regarding learning outcomes between the two teaching methods. With the general teaching method, student self-efficacy did not directly affect learning outcomes, but did so indirectly by mediating the effect of engagement. However, with the hierarchical teaching method, self-efficacy directly and significantly affected learning outcomes, in addition to indirectly affecting learning outcomes through student engagement. Compared with the control group experimental research method, the quasi-experimental research method can eliminate the influence of sample heterogeneity itself, but the state of the same sample may change at different times, which is not necessarily caused by the hierarchical teaching design. Based on the results of this study, teachers can apply hierarchical teaching according to student ability levels when integrating business simulation games. The results of this study can inspire teachers to protect student self-confidence and make teaching objectives and specific requirements clear in the beginning of the course, and also provide an important practical suggestion for students on how to improve their course performance. The research results can be extended to other courses. Teachers can improve students' self-efficacy through hierarchical teaching design, thus improving students' learning performance and also provide reference value for students to improve their learning performance. This study built a model based on self-system model of motivational development (SSMMD) theory, comparing factors that affect student self-efficacy regarding learning outcomes under different teaching methods. The model enriches the literature on SSMMD theory as applied to business simulation game courses and adds to our understanding of hierarchical teaching methods in this field. The results provide a valuable reference for teachers that can improve teaching methods and learning outcomes.The effect of student self-efficacy on learning outcomes in a business simulation mobile game: a quasi-experimental study
Qixing Yang, Quan Chen, Jingan Wang, Ruiqiu Ou
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study has two objectives: to explore the factors that influence student self-efficacy regarding engagement and learning outcomes in a business simulation game course and to compare the difference between hierarchical and general teaching methods.

From September 2021 to May 2022, a questionnaire was administered to 126 students in a business simulation game course at the Zhongshan Institute, University of Electronic Science and Technology of China. Data were analyzed using nonparametric paired samples tests and linear regression.

The results showed that student self-efficacy, engagement and learning outcomes were significantly higher with the hierarchical teaching method than with the general teaching method. There were also differences in the factors that influenced self-efficacy regarding learning outcomes between the two teaching methods. With the general teaching method, student self-efficacy did not directly affect learning outcomes, but did so indirectly by mediating the effect of engagement. However, with the hierarchical teaching method, self-efficacy directly and significantly affected learning outcomes, in addition to indirectly affecting learning outcomes through student engagement.

Compared with the control group experimental research method, the quasi-experimental research method can eliminate the influence of sample heterogeneity itself, but the state of the same sample may change at different times, which is not necessarily caused by the hierarchical teaching design.

Based on the results of this study, teachers can apply hierarchical teaching according to student ability levels when integrating business simulation games. The results of this study can inspire teachers to protect student self-confidence and make teaching objectives and specific requirements clear in the beginning of the course, and also provide an important practical suggestion for students on how to improve their course performance.

The research results can be extended to other courses. Teachers can improve students' self-efficacy through hierarchical teaching design, thus improving students' learning performance and also provide reference value for students to improve their learning performance.

This study built a model based on self-system model of motivational development (SSMMD) theory, comparing factors that affect student self-efficacy regarding learning outcomes under different teaching methods. The model enriches the literature on SSMMD theory as applied to business simulation game courses and adds to our understanding of hierarchical teaching methods in this field. The results provide a valuable reference for teachers that can improve teaching methods and learning outcomes.

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The effect of student self-efficacy on learning outcomes in a business simulation mobile game: a quasi-experimental study10.1108/LHT-02-2022-0114Library Hi Tech2022-09-12© 2022 Emerald Publishing LimitedQixing YangQuan ChenJingan WangRuiqiu OuLibrary Hi Techahead-of-printahead-of-print2022-09-1210.1108/LHT-02-2022-0114https://www.emerald.com/insight/content/doi/10.1108/LHT-02-2022-0114/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Mapping of the selected literature on robotic technology applications in libraries based on Scopus database: a subjective computational reviewhttps://www.emerald.com/insight/content/doi/10.1108/LHT-02-2023-0031/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAdopting and implementing robotic technology applications in the library is a significant technological up-gradation today. The purpose of this study was to evaluate selected literature focused mainly on robotics technology applications in the field of libraries and to assess the online social attention to research publications. The study employed Scientometric and altmetric tools to evaluate the research publications. The bibliographic data of research publications were downloaded from Scopus database and scrutinized one by one and 71 articles were selected which mainly focused on robotic technology in libraries. Altmetric data were collected from the Dimensions.ai database. The analysis was performed using MS Excel, Tableau, Biblioshiny, VOSviewer and SPSS software. Research on robotic technology in the field of libraries has been experiencing a gradual increase, marked by an annual growth rate of 12.93%. The United States has prominently led the way as the most active participant and collaborator in this advancement. Among the various journals, Library Hi Tech has notably stood out as a significant contributor to this field. However, the research articles have garnered limited social attention and impact. Furthermore, the patterns of authorship collaboration have demonstrated relatively modest levels within the field, and a weak correlation has been observed between the social attention received and the Scopus citation metrics of the publications. The research needs to be disseminated more through various social media platforms to increase its visibility. Sharing research information through social media can bridge the gap between academia and society. The findings of this study can serve as a valuable reference for researchers and policymakers. This study presents a Scientometric analysis of the selected published literature on robotics technology applications in the field of libraries, highlighting the progress and development of worldwide research in this area.Mapping of the selected literature on robotic technology applications in libraries based on Scopus database: a subjective computational review
Bwsrang Basumatary, Mayank Yuvaraj, Nitesh Kumar Verma, Manoj Kumar Verma
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Adopting and implementing robotic technology applications in the library is a significant technological up-gradation today. The purpose of this study was to evaluate selected literature focused mainly on robotics technology applications in the field of libraries and to assess the online social attention to research publications.

The study employed Scientometric and altmetric tools to evaluate the research publications. The bibliographic data of research publications were downloaded from Scopus database and scrutinized one by one and 71 articles were selected which mainly focused on robotic technology in libraries. Altmetric data were collected from the Dimensions.ai database. The analysis was performed using MS Excel, Tableau, Biblioshiny, VOSviewer and SPSS software.

Research on robotic technology in the field of libraries has been experiencing a gradual increase, marked by an annual growth rate of 12.93%. The United States has prominently led the way as the most active participant and collaborator in this advancement. Among the various journals, Library Hi Tech has notably stood out as a significant contributor to this field. However, the research articles have garnered limited social attention and impact. Furthermore, the patterns of authorship collaboration have demonstrated relatively modest levels within the field, and a weak correlation has been observed between the social attention received and the Scopus citation metrics of the publications.

The research needs to be disseminated more through various social media platforms to increase its visibility. Sharing research information through social media can bridge the gap between academia and society. The findings of this study can serve as a valuable reference for researchers and policymakers.

This study presents a Scientometric analysis of the selected published literature on robotics technology applications in the field of libraries, highlighting the progress and development of worldwide research in this area.

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Mapping of the selected literature on robotic technology applications in libraries based on Scopus database: a subjective computational review10.1108/LHT-02-2023-0031Library Hi Tech2023-09-11© 2023 Emerald Publishing LimitedBwsrang BasumataryMayank YuvarajNitesh Kumar VermaManoj Kumar VermaLibrary Hi Techahead-of-printahead-of-print2023-09-1110.1108/LHT-02-2023-0031https://www.emerald.com/insight/content/doi/10.1108/LHT-02-2023-0031/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Social mediametrics: the mention laws and patterns of scientific literaturehttps://www.emerald.com/insight/content/doi/10.1108/LHT-02-2023-0063/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSocial mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively mentions on Twitter, with a particular focus on Twitter's mention behaviors. It uncovers the dissemination patterns and impact of academic literature on social media. The research has significant theoretical and practical implications. This paper explores the fundamental attributes of Twitter mentions by means of analyzing 9,476 pieces of scholarly literature (5,097 from Nature and 4,379 from Science), 1,474,898 tweets and 451,567 user information collected from Altmetric.com database and Twitter API. The study uncovers assorted Twitter mention characteristics, mention behavior patterns and data accumulation patterns. The findings illustrate that the top academic journals on Twitter have a wider range of coverage and display similar distribution patterns to other academic communication platforms. A large number of mentioners remain unidentified, and the distribution of follower counts among the mention users exhibits a significant Pareto effect, indicating a small group of highly influential users who generate numerous mentions. Furthermore, the proportion of sharing and exchange mentions positively correlates with the number of user followers, while the incidence of supportive mentions has a negative correlation. In terms of country-specific mention behavior, Thai scholars tend to utilize supportive mentions more frequently, whereas Korean scholars prefer sharing mentions over communicating mentions. The cumulative pattern of Twitter mentions suggests that these occur before official publication, with a half-life of 6.02 days and a considerable reduction in the number of mentions is observed on the seventh day after publication. Conducting a multi-dimensional and systematic analysis of Twitter mentions of scholarly articles can aid in comprehending and utilizing social media communication patterns. This analysis can uncover literature's distribution patterns, dissemination effects and social significance in social media.Social mediametrics: the mention laws and patterns of scientific literature
Rongying Zhao, Weijie Zhu, He Huang, Wenxin Chen
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Social mediametrics is a subfield of measurement in which the emphasis is placed on social media data. This paper analyzes the trends and patterns of paper comprehensively mentions on Twitter, with a particular focus on Twitter's mention behaviors. It uncovers the dissemination patterns and impact of academic literature on social media. The research has significant theoretical and practical implications.

This paper explores the fundamental attributes of Twitter mentions by means of analyzing 9,476 pieces of scholarly literature (5,097 from Nature and 4,379 from Science), 1,474,898 tweets and 451,567 user information collected from Altmetric.com database and Twitter API. The study uncovers assorted Twitter mention characteristics, mention behavior patterns and data accumulation patterns.

The findings illustrate that the top academic journals on Twitter have a wider range of coverage and display similar distribution patterns to other academic communication platforms. A large number of mentioners remain unidentified, and the distribution of follower counts among the mention users exhibits a significant Pareto effect, indicating a small group of highly influential users who generate numerous mentions. Furthermore, the proportion of sharing and exchange mentions positively correlates with the number of user followers, while the incidence of supportive mentions has a negative correlation. In terms of country-specific mention behavior, Thai scholars tend to utilize supportive mentions more frequently, whereas Korean scholars prefer sharing mentions over communicating mentions. The cumulative pattern of Twitter mentions suggests that these occur before official publication, with a half-life of 6.02 days and a considerable reduction in the number of mentions is observed on the seventh day after publication.

Conducting a multi-dimensional and systematic analysis of Twitter mentions of scholarly articles can aid in comprehending and utilizing social media communication patterns. This analysis can uncover literature's distribution patterns, dissemination effects and social significance in social media.

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Social mediametrics: the mention laws and patterns of scientific literature10.1108/LHT-02-2023-0063Library Hi Tech2023-10-23© 2023 Emerald Publishing LimitedRongying ZhaoWeijie ZhuHe HuangWenxin ChenLibrary Hi Techahead-of-printahead-of-print2023-10-2310.1108/LHT-02-2023-0063https://www.emerald.com/insight/content/doi/10.1108/LHT-02-2023-0063/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Depth, breadth and structural virality: the influence of emotion, topic, authority and richness on misinformation spreadhttps://www.emerald.com/insight/content/doi/10.1108/LHT-02-2023-0073/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate the mechanism of the misinformation spread based on the elaboration likelihood model and the effects of four factors – emotion, topic, authority and richness – on the depth, breadth and structural virality of misinformation spread. The authors collected 2,514 misinformation microblogs and 142,006 reposts from Weibo, used deep learning methods to identify the emotions and topics of misinformation and extracted the structural characteristics of the spreading network using the network analysis method. Results show that misinformation has a smaller spread size and breadth than true news but has a similar spread depth and structural virality. The differential influence of emotions on the structural characteristics of misinformation propagation was found: sadness can promote the breadth of misinformation spread, anger can promote depth and disgust can promote depth and structural virality. In addition, the international topic, the number of followers, images and videos can significantly and positively influence the misinformation's spread size, depth, breadth and structural virality. The influencing factors of the structural characteristics of misinformation propagation are clarified, which is helpful for the detection and management of misinformation.Depth, breadth and structural virality: the influence of emotion, topic, authority and richness on misinformation spread
Xiao Meng, Chengjun Dai, Yifei Zhao, Yuan Zhou
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to investigate the mechanism of the misinformation spread based on the elaboration likelihood model and the effects of four factors – emotion, topic, authority and richness – on the depth, breadth and structural virality of misinformation spread.

The authors collected 2,514 misinformation microblogs and 142,006 reposts from Weibo, used deep learning methods to identify the emotions and topics of misinformation and extracted the structural characteristics of the spreading network using the network analysis method.

Results show that misinformation has a smaller spread size and breadth than true news but has a similar spread depth and structural virality. The differential influence of emotions on the structural characteristics of misinformation propagation was found: sadness can promote the breadth of misinformation spread, anger can promote depth and disgust can promote depth and structural virality. In addition, the international topic, the number of followers, images and videos can significantly and positively influence the misinformation's spread size, depth, breadth and structural virality.

The influencing factors of the structural characteristics of misinformation propagation are clarified, which is helpful for the detection and management of misinformation.

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Depth, breadth and structural virality: the influence of emotion, topic, authority and richness on misinformation spread10.1108/LHT-02-2023-0073Library Hi Tech2023-12-07© 2023 Emerald Publishing LimitedXiao MengChengjun DaiYifei ZhaoYuan ZhouLibrary Hi Techahead-of-printahead-of-print2023-12-0710.1108/LHT-02-2023-0073https://www.emerald.com/insight/content/doi/10.1108/LHT-02-2023-0073/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A novel data quality framework for assessment of scientific lecture video indexinghttps://www.emerald.com/insight/content/doi/10.1108/LHT-02-2023-0074/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this research is to provide a framework in which new data quality dimensions are defined. The new dimensions provide new metrics for the assessment of lecture video indexing. As lecture video indexing involves various steps, the proposed framework containing new dimensions, introduces new integrated approach for evaluating an indexing method or algorithm from the beginning to the end. The emphasis in this study is on the fifth step of design science research methodology (DSRM), known as evaluation. That is, the methods that are developed in the field of lecture video indexing as an artifact, should be evaluated from different aspects. In this research, nine dimensions of data quality including accuracy, value-added, relevancy, completeness, appropriate amount of data, concise, consistency, interpretability and accessibility have been redefined based on previous studies and nominal group technique (NGT). The proposed dimensions are implemented as new metrics to evaluate a newly developed lecture video indexing algorithm, LVTIA and numerical values have been obtained based on the proposed definitions for each dimension. In addition, the new dimensions are compared with each other in terms of various aspects. The comparison shows that each dimension that is used for assessing lecture video indexing, is able to reflect a different weakness or strength of an indexing method or algorithm. Despite development of different methods for indexing lecture videos, the issue of data quality and its various dimensions have not been studied. Since data with low quality can affect the process of scientific lecture video indexing, the issue of data quality in this process requires special attention.A novel data quality framework for assessment of scientific lecture video indexing
Hamid Hassani, Azadeh Mohebi, M.J. Ershadi, Ammar Jalalimanesh
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this research is to provide a framework in which new data quality dimensions are defined. The new dimensions provide new metrics for the assessment of lecture video indexing. As lecture video indexing involves various steps, the proposed framework containing new dimensions, introduces new integrated approach for evaluating an indexing method or algorithm from the beginning to the end.

The emphasis in this study is on the fifth step of design science research methodology (DSRM), known as evaluation. That is, the methods that are developed in the field of lecture video indexing as an artifact, should be evaluated from different aspects. In this research, nine dimensions of data quality including accuracy, value-added, relevancy, completeness, appropriate amount of data, concise, consistency, interpretability and accessibility have been redefined based on previous studies and nominal group technique (NGT).

The proposed dimensions are implemented as new metrics to evaluate a newly developed lecture video indexing algorithm, LVTIA and numerical values have been obtained based on the proposed definitions for each dimension. In addition, the new dimensions are compared with each other in terms of various aspects. The comparison shows that each dimension that is used for assessing lecture video indexing, is able to reflect a different weakness or strength of an indexing method or algorithm.

Despite development of different methods for indexing lecture videos, the issue of data quality and its various dimensions have not been studied. Since data with low quality can affect the process of scientific lecture video indexing, the issue of data quality in this process requires special attention.

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A novel data quality framework for assessment of scientific lecture video indexing10.1108/LHT-02-2023-0074Library Hi Tech2023-07-14© 2023 Emerald Publishing LimitedHamid HassaniAzadeh MohebiM.J. ErshadiAmmar JalalimaneshLibrary Hi Techahead-of-printahead-of-print2023-07-1410.1108/LHT-02-2023-0074https://www.emerald.com/insight/content/doi/10.1108/LHT-02-2023-0074/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Utilizing health-related text on social media for depression research: themes and methodshttps://www.emerald.com/insight/content/doi/10.1108/LHT-02-2023-0076/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestSocial media texts as a data source in depression research have emerged as a significant convergence between Information Management and Public Health in recent years. This paper aims to sort out the depression-related study conducted on the text on social media, with particular attention to the research theme and methods. The authors finally selected research articles published in Web of Science, Wiley, ACM Digital Library, EBSCO, IEEE Xplore and JMIR databases, covering 57 articles. (1) According to the coding results, Depression Prediction and Linguistic Characteristics and Information Behavior are the two most popular themes. The theme of Patient Needs has progressed over the past few years. Still, there is a lesser focus on Stigma and Antidepressants. (2) Researchers prefer quantitative methods such as machine learning and statistical analysis to qualitative ones. (4) According to the analysis of the data collection platforms, more researchers used comprehensive social media sites like Reddit and Facebook than depression-specific communities like Sunforum and Alonelylife. The authors recommend employing machine learning and statistical analysis to explore factors related to Stigmatization and Antidepressants thoroughly. Additionally, conducting mixed-methods studies incorporating data from diverse sources would be valuable. Such approaches would provide insights beneficial to policymakers and pharmaceutical companies seeking a comprehensive understanding of depression. This article signifies a pioneering effort in systematically gathering and examining the themes and methodologies within the intersection of health-related texts on social media and depression.Utilizing health-related text on social media for depression research: themes and methods
Sumei Yao, Fan Wang, Jing Chen, Quan Lu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Social media texts as a data source in depression research have emerged as a significant convergence between Information Management and Public Health in recent years. This paper aims to sort out the depression-related study conducted on the text on social media, with particular attention to the research theme and methods.

The authors finally selected research articles published in Web of Science, Wiley, ACM Digital Library, EBSCO, IEEE Xplore and JMIR databases, covering 57 articles.

(1) According to the coding results, Depression Prediction and Linguistic Characteristics and Information Behavior are the two most popular themes. The theme of Patient Needs has progressed over the past few years. Still, there is a lesser focus on Stigma and Antidepressants. (2) Researchers prefer quantitative methods such as machine learning and statistical analysis to qualitative ones. (4) According to the analysis of the data collection platforms, more researchers used comprehensive social media sites like Reddit and Facebook than depression-specific communities like Sunforum and Alonelylife.

The authors recommend employing machine learning and statistical analysis to explore factors related to Stigmatization and Antidepressants thoroughly. Additionally, conducting mixed-methods studies incorporating data from diverse sources would be valuable. Such approaches would provide insights beneficial to policymakers and pharmaceutical companies seeking a comprehensive understanding of depression.

This article signifies a pioneering effort in systematically gathering and examining the themes and methodologies within the intersection of health-related texts on social media and depression.

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Utilizing health-related text on social media for depression research: themes and methods10.1108/LHT-02-2023-0076Library Hi Tech2023-09-12© 2023 Emerald Publishing LimitedSumei YaoFan WangJing ChenQuan LuLibrary Hi Techahead-of-printahead-of-print2023-09-1210.1108/LHT-02-2023-0076https://www.emerald.com/insight/content/doi/10.1108/LHT-02-2023-0076/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Learning behavior in augmented reality–mediated mobile game–based learninghttps://www.emerald.com/insight/content/doi/10.1108/LHT-03-2022-0122/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to investigate whether the effects of children's current learning are related to their learning efficiency and behavior when they are exposed to two different gaming media. In this paper the authors used a quasi-experimental design to determine whether game-based learning can be improved by using mobile devices equipped with augmented reality (AR). The control group using the card game was careful to find the correct answer, with the intention of “obtaining the maximum score with the highest rate of correctness,” whereas the experimental group using the AR board game played aggressively by “obtaining the maximum score with the highest number.” Although integrating an AR board game into the curriculum is an effective approach, the need to implement such a game in response to different learning attitudes and behaviors of students should be addressed. Depending on the learning situation, different teaching methods and aids can be used to help students effectively learn. The recommendations based on this experiment can broaden the teaching field and allow for a wider range of experimental studies. Learning behavior was observed, and user attention was interpreted using MindWave Mobile.Learning behavior in augmented reality–mediated mobile game–based learning
Ya-Lun Yu, Ting Ting Wu, Yueh-Min Huang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to investigate whether the effects of children's current learning are related to their learning efficiency and behavior when they are exposed to two different gaming media.

In this paper the authors used a quasi-experimental design to determine whether game-based learning can be improved by using mobile devices equipped with augmented reality (AR).

The control group using the card game was careful to find the correct answer, with the intention of “obtaining the maximum score with the highest rate of correctness,” whereas the experimental group using the AR board game played aggressively by “obtaining the maximum score with the highest number.”

Although integrating an AR board game into the curriculum is an effective approach, the need to implement such a game in response to different learning attitudes and behaviors of students should be addressed.

Depending on the learning situation, different teaching methods and aids can be used to help students effectively learn. The recommendations based on this experiment can broaden the teaching field and allow for a wider range of experimental studies.

Learning behavior was observed, and user attention was interpreted using MindWave Mobile.

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Learning behavior in augmented reality–mediated mobile game–based learning10.1108/LHT-03-2022-0122Library Hi Tech2022-10-13© 2022 Emerald Publishing LimitedYa-Lun YuTing Ting WuYueh-Min HuangLibrary Hi Techahead-of-printahead-of-print2022-10-1310.1108/LHT-03-2022-0122https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2022-0122/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Hong Kong academic librarians' attitudes toward robotic process automationhttps://www.emerald.com/insight/content/doi/10.1108/LHT-03-2022-0141/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research investigates Hong Kong academic librarians' attitudes toward robotic process automation (RPA) and their willingness to learn this technology. This qualitative study collected data through one-on-one semi-structured interviews conducted with video conferencing software. After participants received basic RPA information and three existing library application cases, they answered questions based on the interview guide. This research used the inductive thematic analysis method to analyze the collected data. Regarding Hong Kong academic librarians' attitudes towards RPA, 19 themes were identified. Although all participants did not have previous knowledge of RPA, most showed positive attitudes toward implementing RPA in their libraries and some willingness to learn it. Besides, among all identified themes, negative attitudes mainly comprised “Affect” and “Cognition” factors, hindering RPA deployment in academic libraries. This research helps librarians and RPA vendors make better decisions or strategies for implementing RPA for libraries, which has not been explored, especially in East Asia.Hong Kong academic librarians' attitudes toward robotic process automation
Chia-Hua Lin, Dickson K.W. Chiu, Ki Tat Lam
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research investigates Hong Kong academic librarians' attitudes toward robotic process automation (RPA) and their willingness to learn this technology.

This qualitative study collected data through one-on-one semi-structured interviews conducted with video conferencing software. After participants received basic RPA information and three existing library application cases, they answered questions based on the interview guide. This research used the inductive thematic analysis method to analyze the collected data.

Regarding Hong Kong academic librarians' attitudes towards RPA, 19 themes were identified. Although all participants did not have previous knowledge of RPA, most showed positive attitudes toward implementing RPA in their libraries and some willingness to learn it. Besides, among all identified themes, negative attitudes mainly comprised “Affect” and “Cognition” factors, hindering RPA deployment in academic libraries.

This research helps librarians and RPA vendors make better decisions or strategies for implementing RPA for libraries, which has not been explored, especially in East Asia.

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Hong Kong academic librarians' attitudes toward robotic process automation10.1108/LHT-03-2022-0141Library Hi Tech2022-09-07© 2022 Emerald Publishing LimitedChia-Hua LinDickson K.W. ChiuKi Tat LamLibrary Hi Techahead-of-printahead-of-print2022-09-0710.1108/LHT-03-2022-0141https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2022-0141/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
The role of personality traits and the ability to detect fake news in predicting information avoidance during the COVID-19 pandemichttps://www.emerald.com/insight/content/doi/10.1108/LHT-03-2022-0150/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe objective of this study was to investigate the impacts of personality traits and the ability to detect fake news on information avoidance behavior. It also examined the effect of personality traits on the ability to detect fake news. The sample population included Shiraz University students who were studying in the second semester of academic year 2021 in different academic levels. It consisted of 242 students of Shiraz University. The Big Five theory was used as the theoretical background of the study. Moreover, the research instrument was an electronic questionnaire consisting of the three questionnaires of the ability to detect fake news (Esmaeili et al., 2019, inspired by IFLA, 2017), the Big Five personality traits (Goldberg, 1999) and information avoidance (Howell and Shepperd, 2016). The statistical methods used to analyze the data were Pearson correlation and stepwise regression, which were performed through SPSS software (version 26). The results showed that from among the five main personality factors, only neuroticism had a positive and significant effect on information avoidance. In addition, the ability to detect fake news had a significant negative effect on information avoidance behavior. Further analyses also showed positive and significant effects of openness to experience and extraversion on the ability to detect fake news. In fact, the former had more predictive power. Following the Big Five theory considering COVID-19 information avoidance and the ability to detect COVID-19 fake news, this study shifted the focus from environmental factors to personality factors and personality traits. Furthermore, this study introduced the ability to detect fake news as an influential factor in health information avoidance behaviors, which can be a prelude for new research studies. The present study applied the five main personality factors theory in the context of information avoidance behavior and the ability to detect fake news, and supported the effect of personality traits on these variables.The role of personality traits and the ability to detect fake news in predicting information avoidance during the COVID-19 pandemic
Mahdieh Mirzabeigi, Mahsa Torabi, Tahereh Jowkar
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The objective of this study was to investigate the impacts of personality traits and the ability to detect fake news on information avoidance behavior. It also examined the effect of personality traits on the ability to detect fake news.

The sample population included Shiraz University students who were studying in the second semester of academic year 2021 in different academic levels. It consisted of 242 students of Shiraz University. The Big Five theory was used as the theoretical background of the study. Moreover, the research instrument was an electronic questionnaire consisting of the three questionnaires of the ability to detect fake news (Esmaeili et al., 2019, inspired by IFLA, 2017), the Big Five personality traits (Goldberg, 1999) and information avoidance (Howell and Shepperd, 2016). The statistical methods used to analyze the data were Pearson correlation and stepwise regression, which were performed through SPSS software (version 26).

The results showed that from among the five main personality factors, only neuroticism had a positive and significant effect on information avoidance. In addition, the ability to detect fake news had a significant negative effect on information avoidance behavior. Further analyses also showed positive and significant effects of openness to experience and extraversion on the ability to detect fake news. In fact, the former had more predictive power.

Following the Big Five theory considering COVID-19 information avoidance and the ability to detect COVID-19 fake news, this study shifted the focus from environmental factors to personality factors and personality traits. Furthermore, this study introduced the ability to detect fake news as an influential factor in health information avoidance behaviors, which can be a prelude for new research studies.

The present study applied the five main personality factors theory in the context of information avoidance behavior and the ability to detect fake news, and supported the effect of personality traits on these variables.

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The role of personality traits and the ability to detect fake news in predicting information avoidance during the COVID-19 pandemic10.1108/LHT-03-2022-0150Library Hi Tech2023-05-09© 2023 Emerald Publishing LimitedMahdieh MirzabeigiMahsa TorabiTahereh JowkarLibrary Hi Techahead-of-printahead-of-print2023-05-0910.1108/LHT-03-2022-0150https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2022-0150/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring the implementation of artificial intelligence applications among academic libraries in Taiwanhttps://www.emerald.com/insight/content/doi/10.1108/LHT-03-2022-0159/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study explored the different artificial intelligence (AI) applications used in academic libraries and the key factors and impediments related to their implementation. The author applied quantitative research methods in the form of a questionnaire, using both open and closed questions. A total of 472 valid questionnaires were received from academic librarians. The author sought responses from librarians who had implemented AI applications and those who had not, identifying the types of AI applications implemented, key factors relating to their implementation, and impediments to promoting AI. Gaps were identified between the level of support for AI applications and the negative effect of the impediments. Furthermore, the more extensive the individual and organizational knowledge activities performed by the librarians and libraries held, the more positive the attitude was librarians' attitude toward AI applications in their libraries. However, librarians recognized that AI applications are inevitable, but indicated that the difficulties of in execution have hampered the adoption of AI. The sample data were collected in Taiwan; therefore, the data may only represent the views of Taiwanese academic librarians on AI applications. The results of this study may not apply to librarians worldwide; however, they may provide a useful reference. The results revealed the top four AI applications that libraries would most likely implement in the near future. Therefore, AI application developers and suppliers can prioritize the promotion of these products for to academic libraries. This study revealed that funding and costs related to AI implementation were discovered to be key factors relating to implementing AI applications. Some impediments to the implementation of AI applications relate to technological problems. Several librarians suggested that managers should invest more resources at an early stage rather than reducing cutting back on human resources initially. Although worries regarding privacy and ethics were mentioned expressed by some respondents, most academic librarians did not regard these to be major concerns. This study provides the perspectives of librarians who have implemented AI applications and of those who have not. In addition, it explores the advantages and disadvantages of AI applications, and the level of support for and impact of AI applications and promotions. This study also included a gap analysis. Moreover, individual and organizational knowledge activity scales were adopted to examine AI awareness and the perceptions of academic librarians.Exploring the implementation of artificial intelligence applications among academic libraries in Taiwan
Yuan-Ho Huang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study explored the different artificial intelligence (AI) applications used in academic libraries and the key factors and impediments related to their implementation.

The author applied quantitative research methods in the form of a questionnaire, using both open and closed questions. A total of 472 valid questionnaires were received from academic librarians.

The author sought responses from librarians who had implemented AI applications and those who had not, identifying the types of AI applications implemented, key factors relating to their implementation, and impediments to promoting AI. Gaps were identified between the level of support for AI applications and the negative effect of the impediments. Furthermore, the more extensive the individual and organizational knowledge activities performed by the librarians and libraries held, the more positive the attitude was librarians' attitude toward AI applications in their libraries. However, librarians recognized that AI applications are inevitable, but indicated that the difficulties of in execution have hampered the adoption of AI.

The sample data were collected in Taiwan; therefore, the data may only represent the views of Taiwanese academic librarians on AI applications. The results of this study may not apply to librarians worldwide; however, they may provide a useful reference.

The results revealed the top four AI applications that libraries would most likely implement in the near future. Therefore, AI application developers and suppliers can prioritize the promotion of these products for to academic libraries. This study revealed that funding and costs related to AI implementation were discovered to be key factors relating to implementing AI applications. Some impediments to the implementation of AI applications relate to technological problems. Several librarians suggested that managers should invest more resources at an early stage rather than reducing cutting back on human resources initially. Although worries regarding privacy and ethics were mentioned expressed by some respondents, most academic librarians did not regard these to be major concerns.

This study provides the perspectives of librarians who have implemented AI applications and of those who have not. In addition, it explores the advantages and disadvantages of AI applications, and the level of support for and impact of AI applications and promotions. This study also included a gap analysis. Moreover, individual and organizational knowledge activity scales were adopted to examine AI awareness and the perceptions of academic librarians.

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Exploring the implementation of artificial intelligence applications among academic libraries in Taiwan10.1108/LHT-03-2022-0159Library Hi Tech2022-07-05© 2022 Emerald Publishing LimitedYuan-Ho HuangLibrary Hi Techahead-of-printahead-of-print2022-07-0510.1108/LHT-03-2022-0159https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2022-0159/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Examining the role of metadiscourse in collaborative knowledge building communityhttps://www.emerald.com/insight/content/doi/10.1108/LHT-03-2023-0085/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestMetadiscourse is an important dialogue technique used in productive knowledge building to help a group evaluate and advance their knowledge progress. Previous studies have identified and defined various types of metadiscourse. However, there is scant knowledge about how different metadiscourse types emerge among different groups or what implicit correlations lie between progressive discourse and metadiscourse. Moreover, research on how different types of metadiscourse influence groups' knowledge advancement and artifacts is still inadequate. Therefore, this study aims to further examine the roles that different types of metadiscourse play in the collaborative knowledge building community on both a fine-grained (i.e. progressive discourse) and coarse-grained (i.e. group knowledge advancement and group artifacts) level. Data for this study are drawn from the behaviour of undergraduate students participating in a 12-week course at a key university in China. On the fine-grained level, epistemic network analysis (ENA) is applied to illustrate how metadiscourse promotes the development of progressive discourse. On the coarse-grained level, two different chi-square tests are conducted to examine the roles of different types of metadiscourse in groups' knowledge advancement and artifacts. The analysis allowed several conclusions to be drawn. First, the types of metadiscourse that students most often adopted were reflecting on ideas development (RD) and commenting on ideas (CI); they less frequently adopted setting group goals (SG) and making group plans (MP). Second, most types of metadiscourse correlated with developments in progressive discourse, particularly RD and CI. Third, the metadiscourse types RD, CI and coordinating group efforts (CE) played essential roles in knowledge advancement. Fourth, higher-quality artifacts could be created by using the metadiscourse type reviewing the state of knowledge building progress (RP). A more profound comprehension of the role that metadiscourse plays in the collaborative knowledge building community not only contributes to the literature in the knowledge building field but also carries a significant meaning in regulating community, promoting learner agency and sustained knowledge, and consequently improving collaborative learning performance.Examining the role of metadiscourse in collaborative knowledge building community
Shaoming Chai, Emily Pey-Tee Oon, Yuan Chai, Zuokun Li
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Metadiscourse is an important dialogue technique used in productive knowledge building to help a group evaluate and advance their knowledge progress. Previous studies have identified and defined various types of metadiscourse. However, there is scant knowledge about how different metadiscourse types emerge among different groups or what implicit correlations lie between progressive discourse and metadiscourse. Moreover, research on how different types of metadiscourse influence groups' knowledge advancement and artifacts is still inadequate. Therefore, this study aims to further examine the roles that different types of metadiscourse play in the collaborative knowledge building community on both a fine-grained (i.e. progressive discourse) and coarse-grained (i.e. group knowledge advancement and group artifacts) level.

Data for this study are drawn from the behaviour of undergraduate students participating in a 12-week course at a key university in China. On the fine-grained level, epistemic network analysis (ENA) is applied to illustrate how metadiscourse promotes the development of progressive discourse. On the coarse-grained level, two different chi-square tests are conducted to examine the roles of different types of metadiscourse in groups' knowledge advancement and artifacts.

The analysis allowed several conclusions to be drawn. First, the types of metadiscourse that students most often adopted were reflecting on ideas development (RD) and commenting on ideas (CI); they less frequently adopted setting group goals (SG) and making group plans (MP). Second, most types of metadiscourse correlated with developments in progressive discourse, particularly RD and CI. Third, the metadiscourse types RD, CI and coordinating group efforts (CE) played essential roles in knowledge advancement. Fourth, higher-quality artifacts could be created by using the metadiscourse type reviewing the state of knowledge building progress (RP).

A more profound comprehension of the role that metadiscourse plays in the collaborative knowledge building community not only contributes to the literature in the knowledge building field but also carries a significant meaning in regulating community, promoting learner agency and sustained knowledge, and consequently improving collaborative learning performance.

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Examining the role of metadiscourse in collaborative knowledge building community10.1108/LHT-03-2023-0085Library Hi Tech2023-08-11© 2023 Emerald Publishing LimitedShaoming ChaiEmily Pey-Tee OonYuan ChaiZuokun LiLibrary Hi Techahead-of-printahead-of-print2023-08-1110.1108/LHT-03-2023-0085https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2023-0085/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
School library reading support for students with dyslexia: a qualitative study in the digital agehttps://www.emerald.com/insight/content/doi/10.1108/LHT-03-2023-0086/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper investigates school library services in the digital age for students with dyslexia and explores the impact of current library services on students’ learning. A qualitative study with semi-structured interviews was designed according to the LAFE (Look and listen, Assistance and accessibility, Format and fit, and Environment) framework for learners with dyslexia and the 5E instructional model and conducted with 11 school librarians. Results indicated that participants lacked knowledge of dyslexia for appropriate library services. Awareness, IT skills, school administration, funding and parental attitudes would influence the library’s tailored services to dyslexic children, despite the rich resources in these participants’ libraries, including paperbacks, digital resources and electronic devices. Adaptations are necessary to provide accessible services, especially by applying digital technologies, and school libraries can positively impact students’ reading interests, promote knowledge inquiry and strengthen information literacy skills. While students with dyslexia spend significant time in schools, limited studies focus on school library services in the digital age, especially in Asia. This study fills the gap by systematically exploring the issue with the 5E instructional model.School library reading support for students with dyslexia: a qualitative study in the digital age
Qingyu Li, Jenny Wong, Dickson K.W. Chiu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper investigates school library services in the digital age for students with dyslexia and explores the impact of current library services on students’ learning.

A qualitative study with semi-structured interviews was designed according to the LAFE (Look and listen, Assistance and accessibility, Format and fit, and Environment) framework for learners with dyslexia and the 5E instructional model and conducted with 11 school librarians.

Results indicated that participants lacked knowledge of dyslexia for appropriate library services. Awareness, IT skills, school administration, funding and parental attitudes would influence the library’s tailored services to dyslexic children, despite the rich resources in these participants’ libraries, including paperbacks, digital resources and electronic devices. Adaptations are necessary to provide accessible services, especially by applying digital technologies, and school libraries can positively impact students’ reading interests, promote knowledge inquiry and strengthen information literacy skills.

While students with dyslexia spend significant time in schools, limited studies focus on school library services in the digital age, especially in Asia. This study fills the gap by systematically exploring the issue with the 5E instructional model.

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School library reading support for students with dyslexia: a qualitative study in the digital age10.1108/LHT-03-2023-0086Library Hi Tech2023-04-17© 2023 Emerald Publishing LimitedQingyu LiJenny WongDickson K.W. ChiuLibrary Hi Techahead-of-printahead-of-print2023-04-1710.1108/LHT-03-2023-0086https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2023-0086/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Prototyping technology adoption among entrepreneurship and innovation libraries for rural health innovationshttps://www.emerald.com/insight/content/doi/10.1108/LHT-03-2023-0120/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this research study is to empirically investigate the Figma prototyping technology adoption factors among entrepreneurship and innovation libraries for providing support to startups by developing and evolving the prototype solutions in collaboration with health libraries. This study uses the technology adoption model (TAM) as a framework and the partial least squares structural equation modeling (PLS-SEM) method of structural equation modeling (SEM) using SmartPLS 3.2.9 software version to investigate the prototyping adoption factors among entrepreneurship and innovation libraries for rural health innovations. A total of 40 libraries, spread over 16 entrepreneurship and innovation libraries, participated in this survey, including participants from Europe (35%), Asia (15%) and USA (50%). The findings show that previous experience, social impact, brand image and system quality have a significant positive impact on entrepreneurship and innovation libraries' perceived usefulness (PU) of prototyping technology. Perceived ease of use of prototype technology is positively influenced by usability, training materials and documentation, experience and self-efficacy. Together, perceived usefulness and perceived ease of use have a significant influence on behavioural intention. Behavioural intention is positively impacted by minimal investment and shallow learning curve. Technology adoption is furthered by behavioural intention. The control variables, for instance location, gender and work experience (as librarian), were found not having any impact on Figma technology adoption. Through strategic partnerships with other libraries (including health libraries), policymakers, and technology providers, the adoption of prototype technology can be further accelerated. The important ramifications for policymakers, technology providers, public and entrepreneurship and innovation libraries to create a self-reliant innovation ecosystem to foster rural health innovation based on entrepreneurship are also listed in the article. This research is distinctive since it integrates several areas of study, including entre, advances in rural healthcare and libraries. A novel idea that hasn't been thoroughly investigated is the collaboration between entrepreneurship and innovation libraries and health libraries for supporting businesses. This study offers insights into the factors that drive technology adoption and offers practical advice for policymakers and technology providers. It also advances understanding of the adoption of Figma prototyping technology among libraries for rural health innovation. Overall, this study provides a novel viewpoint on the nexus between different disciplines, showing the opportunity for cooperation and innovation in favour of rural health.Prototyping technology adoption among entrepreneurship and innovation libraries for rural health innovations
Varun Gupta, Chetna Gupta, Jakub Swacha, Luis Rubalcaba
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this research study is to empirically investigate the Figma prototyping technology adoption factors among entrepreneurship and innovation libraries for providing support to startups by developing and evolving the prototype solutions in collaboration with health libraries.

This study uses the technology adoption model (TAM) as a framework and the partial least squares structural equation modeling (PLS-SEM) method of structural equation modeling (SEM) using SmartPLS 3.2.9 software version to investigate the prototyping adoption factors among entrepreneurship and innovation libraries for rural health innovations. A total of 40 libraries, spread over 16 entrepreneurship and innovation libraries, participated in this survey, including participants from Europe (35%), Asia (15%) and USA (50%).

The findings show that previous experience, social impact, brand image and system quality have a significant positive impact on entrepreneurship and innovation libraries' perceived usefulness (PU) of prototyping technology. Perceived ease of use of prototype technology is positively influenced by usability, training materials and documentation, experience and self-efficacy. Together, perceived usefulness and perceived ease of use have a significant influence on behavioural intention. Behavioural intention is positively impacted by minimal investment and shallow learning curve. Technology adoption is furthered by behavioural intention. The control variables, for instance location, gender and work experience (as librarian), were found not having any impact on Figma technology adoption.

Through strategic partnerships with other libraries (including health libraries), policymakers, and technology providers, the adoption of prototype technology can be further accelerated. The important ramifications for policymakers, technology providers, public and entrepreneurship and innovation libraries to create a self-reliant innovation ecosystem to foster rural health innovation based on entrepreneurship are also listed in the article.

This research is distinctive since it integrates several areas of study, including entre, advances in rural healthcare and libraries. A novel idea that hasn't been thoroughly investigated is the collaboration between entrepreneurship and innovation libraries and health libraries for supporting businesses. This study offers insights into the factors that drive technology adoption and offers practical advice for policymakers and technology providers. It also advances understanding of the adoption of Figma prototyping technology among libraries for rural health innovation. Overall, this study provides a novel viewpoint on the nexus between different disciplines, showing the opportunity for cooperation and innovation in favour of rural health.

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Prototyping technology adoption among entrepreneurship and innovation libraries for rural health innovations10.1108/LHT-03-2023-0120Library Hi Tech2023-06-21© 2023 Emerald Publishing LimitedVarun GuptaChetna GuptaJakub SwachaLuis RubalcabaLibrary Hi Techahead-of-printahead-of-print2023-06-2110.1108/LHT-03-2023-0120https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2023-0120/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A structural equation model analysis of English for specific purposes students' attitudes regarding computer-assisted language learning: UTAUT2 modelhttps://www.emerald.com/insight/content/doi/10.1108/LHT-03-2023-0124/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe objective of this study is to investigate the key determinants affecting the acceptance and utilization of Blackboard as a Computer-Assisted Language Learning (CALL) platform among Saudi university students pursuing English as a foreign language (EFL) courses. Understanding how to engage EFL students in their learning requires identifying the factors that influence their acceptance and use of CALL tools, particularly on Blackboard's LMS platform. This study proposes and validates a research framework that predicts students' behavioral intentions and usage of CALL by utilizing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) by Venkatesh et al. (2012). This research model provides insight into the various drivers that impact CALL acceptance via Blackboard LMS. The study's findings demonstrate UTAUT2's superior ability to address the fear of technology adoption and provide valuable insights into the factors that influence technology intention and usage. The study's findings indicate that performance expectancy, social influence, effort expectancy and price value significantly affect the attitudes of EFL students toward using CALL. The habit factor was the most robust predictor of behavioral intention and technology use, indicating that CALL usage can become automatic for students and improve their engagement in EFL learning. The study highlights the importance of providing better technical and organizational support to EFL students who want to use CALL more effectively. The theoretical and practical implications of the study's findings are thoroughly discussed. Understanding how to engage EFL students in their learning requires identifying the factors that influence their acceptance and use of CALL tools, particularly on Blackboard's LMS platform. This study proposes and validates a research framework that predicts students' behavioral intentions and usage of CALL by utilizing the UTAUT2 by Venkatesh et al. (2012). This research model provides insight into the various drivers that impact CALL acceptance via Blackboard LMS. The study's findings demonstrate UTAUT2's superior ability to address the fear of technology adoption and provide valuable insights into the factors that influence technology intention and usage.A structural equation model analysis of English for specific purposes students' attitudes regarding computer-assisted language learning: UTAUT2 model
Adel Bessadok, Mustafa Hersi
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The objective of this study is to investigate the key determinants affecting the acceptance and utilization of Blackboard as a Computer-Assisted Language Learning (CALL) platform among Saudi university students pursuing English as a foreign language (EFL) courses.

Understanding how to engage EFL students in their learning requires identifying the factors that influence their acceptance and use of CALL tools, particularly on Blackboard's LMS platform. This study proposes and validates a research framework that predicts students' behavioral intentions and usage of CALL by utilizing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) by Venkatesh et al. (2012). This research model provides insight into the various drivers that impact CALL acceptance via Blackboard LMS. The study's findings demonstrate UTAUT2's superior ability to address the fear of technology adoption and provide valuable insights into the factors that influence technology intention and usage.

The study's findings indicate that performance expectancy, social influence, effort expectancy and price value significantly affect the attitudes of EFL students toward using CALL. The habit factor was the most robust predictor of behavioral intention and technology use, indicating that CALL usage can become automatic for students and improve their engagement in EFL learning. The study highlights the importance of providing better technical and organizational support to EFL students who want to use CALL more effectively. The theoretical and practical implications of the study's findings are thoroughly discussed.

Understanding how to engage EFL students in their learning requires identifying the factors that influence their acceptance and use of CALL tools, particularly on Blackboard's LMS platform. This study proposes and validates a research framework that predicts students' behavioral intentions and usage of CALL by utilizing the UTAUT2 by Venkatesh et al. (2012). This research model provides insight into the various drivers that impact CALL acceptance via Blackboard LMS. The study's findings demonstrate UTAUT2's superior ability to address the fear of technology adoption and provide valuable insights into the factors that influence technology intention and usage.

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A structural equation model analysis of English for specific purposes students' attitudes regarding computer-assisted language learning: UTAUT2 model10.1108/LHT-03-2023-0124Library Hi Tech2023-07-25© 2023 Emerald Publishing LimitedAdel BessadokMustafa HersiLibrary Hi Techahead-of-printahead-of-print2023-07-2510.1108/LHT-03-2023-0124https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2023-0124/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Youth marketing development of special libraries in the digital era: viewpoint from the Taste Library with 7Ps marketing mixhttps://www.emerald.com/insight/content/doi/10.1108/LHT-03-2023-0129/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the 21st century, libraries are experiencing a significant decline in users due to shifting reading habits and the impact of technology, necessitating library transformation and a heightened emphasis on library marketing. Special libraries, in particular, rely heavily on patrons for survival, often due to their private ownership and limited resources. This paper aims to discuss the aforementioned objectives. This paper examines the Taste Library, a special library in Hong Kong, and analyzes its current practices based on an interview with its founder, website content, and social media presence. The 7Ps Marketing Mix model is employed to assess the strengths and weaknesses of the library's current market position. The Taste Library's existing practices exhibit limitations in attracting young patrons. To address this issue, we propose marketing strategies focused on enhancing social network presence, offering digitized content, and engaging in school outreach. By concentrating on youth marketing, this study offers valuable insights for special libraries in developing strategic plans for transitioning and maintaining sustainability. Few studies concentrate on marketing small special libraries, particularly in the East, within today's digitized economy.Youth marketing development of special libraries in the digital era: viewpoint from the Taste Library with 7Ps marketing mix
Ying Kit Cherry Kwan, Mei Wa Chan, Dickson K.W. Chiu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the 21st century, libraries are experiencing a significant decline in users due to shifting reading habits and the impact of technology, necessitating library transformation and a heightened emphasis on library marketing. Special libraries, in particular, rely heavily on patrons for survival, often due to their private ownership and limited resources. This paper aims to discuss the aforementioned objectives.

This paper examines the Taste Library, a special library in Hong Kong, and analyzes its current practices based on an interview with its founder, website content, and social media presence. The 7Ps Marketing Mix model is employed to assess the strengths and weaknesses of the library's current market position.

The Taste Library's existing practices exhibit limitations in attracting young patrons. To address this issue, we propose marketing strategies focused on enhancing social network presence, offering digitized content, and engaging in school outreach.

By concentrating on youth marketing, this study offers valuable insights for special libraries in developing strategic plans for transitioning and maintaining sustainability.

Few studies concentrate on marketing small special libraries, particularly in the East, within today's digitized economy.

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Youth marketing development of special libraries in the digital era: viewpoint from the Taste Library with 7Ps marketing mix10.1108/LHT-03-2023-0129Library Hi Tech2023-06-13© 2023 Emerald Publishing LimitedYing Kit Cherry KwanMei Wa ChanDickson K.W. ChiuLibrary Hi Techahead-of-printahead-of-print2023-06-1310.1108/LHT-03-2023-0129https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2023-0129/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The influence of organizational learning on library service innovationhttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2021-0148/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article intends to explore how organizational learning affects innovation in public library services, and the role of public librarians in innovation in library services. This study collected 375 valid questionnaires from 19 public libraries in Shanghai and Zhejiang based on organizational learning, organizational innovation and employee psychological empowerment theory. Additionally, SPSS and HLM are used to analyze the relationship among the three processes of organizational learning: knowledge acquisition, knowledge sharing and knowledge application, and public library service innovation. Results show that organizational learning has a significant positive effect on the service innovation of public libraries. Knowledge acquisition and knowledge application in the process of organizational learning have a significant positive influence on the service innovation of public libraries, but the impact of knowledge sharing on service innovation is weak. Employee psychological empowerment has a negative regulating influence on knowledge sharing–public library service innovation, but no significant influence on knowledge application–public library service innovation and knowledge acquisition–public library service innovation. This research explores the effectiveness of the theory of organizational learning in the field of public libraries and also confirms the role of librarians in the work of public libraries. Together, they promote the innovation of public libraries.The influence of organizational learning on library service innovation
Zifan Zhou, Yufeng Duan, Junping Qiu, Li Yang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article intends to explore how organizational learning affects innovation in public library services, and the role of public librarians in innovation in library services.

This study collected 375 valid questionnaires from 19 public libraries in Shanghai and Zhejiang based on organizational learning, organizational innovation and employee psychological empowerment theory. Additionally, SPSS and HLM are used to analyze the relationship among the three processes of organizational learning: knowledge acquisition, knowledge sharing and knowledge application, and public library service innovation.

Results show that organizational learning has a significant positive effect on the service innovation of public libraries. Knowledge acquisition and knowledge application in the process of organizational learning have a significant positive influence on the service innovation of public libraries, but the impact of knowledge sharing on service innovation is weak. Employee psychological empowerment has a negative regulating influence on knowledge sharing–public library service innovation, but no significant influence on knowledge application–public library service innovation and knowledge acquisition–public library service innovation.

This research explores the effectiveness of the theory of organizational learning in the field of public libraries and also confirms the role of librarians in the work of public libraries. Together, they promote the innovation of public libraries.

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The influence of organizational learning on library service innovation10.1108/LHT-04-2021-0148Library Hi Tech2022-03-08© 2022 Emerald Publishing LimitedZifan ZhouYufeng DuanJunping QiuLi YangLibrary Hi Techahead-of-printahead-of-print2022-03-0810.1108/LHT-04-2021-0148https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2021-0148/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Patterns of artificial intelligence policies in China: a nationwide perspectivehttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0168/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to identify the historical trends and status of the national development of artificial intelligence (AI) from a nationwide perspective and to enable governments at different administrative levels to promote AI development through policymaking. This paper analyzed 248 Chinese AI policies (36 issued by the state agencies and 212 by the regional agencies). Policy bibliometrics, policy instruments and network analysis were used to reveal the AI policy patterns. Three aspects were analyzed: the spatiotemporal distribution of issued policies, the policy foci and instruments of policy contents and the cooperation and citation among policy-issuing agencies. Results indicate that Chinese AI development is still in the initial phase. During the policymaking processes, the state and regional policy foci have strong consistency; however, the coordination among state and regional agencies is supposed to be strengthened. According to the issuing time of AI policies, Chinese AI development is in accordance with the global situation and has witnessed unprecedented growth in the last five years. And the coastal provinces have issued more targeted policies than the middle and western provinces. Governments at the state and regional levels have emphasized familiar policy foci and played the role of policymakers, along with regional governments that also functioned as policy executors as well. According to the three-dimension instruments coding, the authors found an uneven structure of policy instruments at both levels. Furthermore, weak cooperation appears at the state level, while little cooperation is found among regional agencies. Regional governments cite state policies, thus leading to the formation of top-down diffusion, lacking bottom-up diffusion. The paper contributes to the literature by characterizing policy patterns from both external attributes and semantic contents, thus revealing features of policy distribution, contents and agencies. What is more, this research analyzes Chinese AI policies from a nationwide perspective, which contributes to clarifying the overall status and multi-level relationships of policies. The findings also benefit the coordinated development of governments during further policymaking processes.Patterns of artificial intelligence policies in China: a nationwide perspective
Kaili Wang, Ke Dong, Jiachun Wu, Jiang Wu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to identify the historical trends and status of the national development of artificial intelligence (AI) from a nationwide perspective and to enable governments at different administrative levels to promote AI development through policymaking.

This paper analyzed 248 Chinese AI policies (36 issued by the state agencies and 212 by the regional agencies). Policy bibliometrics, policy instruments and network analysis were used to reveal the AI policy patterns. Three aspects were analyzed: the spatiotemporal distribution of issued policies, the policy foci and instruments of policy contents and the cooperation and citation among policy-issuing agencies.

Results indicate that Chinese AI development is still in the initial phase. During the policymaking processes, the state and regional policy foci have strong consistency; however, the coordination among state and regional agencies is supposed to be strengthened. According to the issuing time of AI policies, Chinese AI development is in accordance with the global situation and has witnessed unprecedented growth in the last five years. And the coastal provinces have issued more targeted policies than the middle and western provinces. Governments at the state and regional levels have emphasized familiar policy foci and played the role of policymakers, along with regional governments that also functioned as policy executors as well. According to the three-dimension instruments coding, the authors found an uneven structure of policy instruments at both levels. Furthermore, weak cooperation appears at the state level, while little cooperation is found among regional agencies. Regional governments cite state policies, thus leading to the formation of top-down diffusion, lacking bottom-up diffusion.

The paper contributes to the literature by characterizing policy patterns from both external attributes and semantic contents, thus revealing features of policy distribution, contents and agencies. What is more, this research analyzes Chinese AI policies from a nationwide perspective, which contributes to clarifying the overall status and multi-level relationships of policies. The findings also benefit the coordinated development of governments during further policymaking processes.

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Patterns of artificial intelligence policies in China: a nationwide perspective10.1108/LHT-04-2022-0168Library Hi Tech2023-09-15© 2023 Emerald Publishing LimitedKaili WangKe DongJiachun WuJiang WuLibrary Hi Techahead-of-printahead-of-print2023-09-1510.1108/LHT-04-2022-0168https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0168/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Voice search behavior under human–vehicle interaction context: an exploratory studyhttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0174/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAs voice search has progressively become a new way of information acquisition and human–computer interaction, this paper aims to explore the users' voice search behavior in human–vehicle interaction. This study employed mixed research methods, including questionnaires and interviews. A total of 151 Amazon MTurk volunteers were recruited to complete a questionnaire based on their most recent and impressive voice search experience. After the questionnaire, this paper conducted an online interview with the participants. This paper studied users' voice search behavior characteristics in the context of the human–vehicle interaction and analyzed the voice search content, search need, search motivation and user satisfaction. In addition, this paper studied the barriers and suggestions for voice search in human–vehicle interaction through a content analysis of the interviews. This paper's analysis of users' barriers and suggestions has a specific reference value for optimizing the voice search interaction system and improving the service. This study is exploratory research that seeks to identify users' voice search needs and tasks and investigate voice search satisfaction in human–vehicle interaction context.Voice search behavior under human–vehicle interaction context: an exploratory study
Shaobo Liang, Linfeng Yu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

As voice search has progressively become a new way of information acquisition and human–computer interaction, this paper aims to explore the users' voice search behavior in human–vehicle interaction.

This study employed mixed research methods, including questionnaires and interviews. A total of 151 Amazon MTurk volunteers were recruited to complete a questionnaire based on their most recent and impressive voice search experience. After the questionnaire, this paper conducted an online interview with the participants.

This paper studied users' voice search behavior characteristics in the context of the human–vehicle interaction and analyzed the voice search content, search need, search motivation and user satisfaction. In addition, this paper studied the barriers and suggestions for voice search in human–vehicle interaction through a content analysis of the interviews.

This paper's analysis of users' barriers and suggestions has a specific reference value for optimizing the voice search interaction system and improving the service.

This study is exploratory research that seeks to identify users' voice search needs and tasks and investigate voice search satisfaction in human–vehicle interaction context.

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Voice search behavior under human–vehicle interaction context: an exploratory study10.1108/LHT-04-2022-0174Library Hi Tech2023-04-12© 2023 Emerald Publishing LimitedShaobo LiangLinfeng YuLibrary Hi Techahead-of-printahead-of-print2023-04-1210.1108/LHT-04-2022-0174https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0174/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Japanese industrial technological structure based on the number of patent applications by technical fieldhttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0188/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research outlines the technological structure of the entire Japanese manufacturing and service industry using the patent information from research and development (R&D) activities to set R&D goals. By analyzing the technological development capability of individual companies, the direction of the companies' R&D activities and current state of technological fusion between them can be understood. A group of companies participating in a particular product/service market must have the same technological development capabilities. As a result, the ratio of patent applications by a company to the total number of applications in a technical field will be similar across companies. This study uses the inter-company correlation coefficient of the ratio of patent applications by technical field as an index of technological development capability. A total of 167 major companies covering the major industries of Japan were analyzed. The analysis period was 15 years from 2004 to 2018, and the technical fields were rearranged to 42 fields with reference to the International Patent Classification (IPC)-Technology Concordance used by the World Intellectual Property Organization (WIPO). Considering the fluctuation in patent application opportunities, the number of patent applications was collected for at least three years for the analysis of patent applications by technical field, company and industry. Examining the entire Japanese industry, the research found that chemicals, ceramics, non-ferrous metals and electrical/electronic equipment act as intermediaries between the respective groups and are linked to the transportation equipment, electrical/electronic equipment and information and communication services industries that are currently driving the Japanese economy. However, the technical connections between these groups are relatively loose. Over the last 15 years, the propagation structure of technical knowledge information has not changed. The progress of technological fusion remains within the scope of commerce and is conditioned by commerce. Studies focusing on the technological development capability between companies and the technological structure of the Japanese manufacturing and service industries are almost non-existent since 2000 when Japan's economic growth slowed. The analytical methods presented in this research can be applied to individual companies to gain an understanding of technical positions of companies and can be useful for planning a technical environment, business or R&D strategy.Japanese industrial technological structure based on the number of patent applications by technical field
Hirokazu Yamada
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research outlines the technological structure of the entire Japanese manufacturing and service industry using the patent information from research and development (R&D) activities to set R&D goals.

By analyzing the technological development capability of individual companies, the direction of the companies' R&D activities and current state of technological fusion between them can be understood. A group of companies participating in a particular product/service market must have the same technological development capabilities. As a result, the ratio of patent applications by a company to the total number of applications in a technical field will be similar across companies. This study uses the inter-company correlation coefficient of the ratio of patent applications by technical field as an index of technological development capability. A total of 167 major companies covering the major industries of Japan were analyzed. The analysis period was 15 years from 2004 to 2018, and the technical fields were rearranged to 42 fields with reference to the International Patent Classification (IPC)-Technology Concordance used by the World Intellectual Property Organization (WIPO). Considering the fluctuation in patent application opportunities, the number of patent applications was collected for at least three years for the analysis of patent applications by technical field, company and industry.

Examining the entire Japanese industry, the research found that chemicals, ceramics, non-ferrous metals and electrical/electronic equipment act as intermediaries between the respective groups and are linked to the transportation equipment, electrical/electronic equipment and information and communication services industries that are currently driving the Japanese economy. However, the technical connections between these groups are relatively loose. Over the last 15 years, the propagation structure of technical knowledge information has not changed. The progress of technological fusion remains within the scope of commerce and is conditioned by commerce.

Studies focusing on the technological development capability between companies and the technological structure of the Japanese manufacturing and service industries are almost non-existent since 2000 when Japan's economic growth slowed. The analytical methods presented in this research can be applied to individual companies to gain an understanding of technical positions of companies and can be useful for planning a technical environment, business or R&D strategy.

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Japanese industrial technological structure based on the number of patent applications by technical field10.1108/LHT-04-2022-0188Library Hi Tech2022-08-18© 2022 Emerald Publishing LimitedHirokazu YamadaLibrary Hi Techahead-of-printahead-of-print2022-08-1810.1108/LHT-04-2022-0188https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0188/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
User influence and microblog marketing: a case study of Sina Weibo in Chinahttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0193/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestMicroblogs are communication platforms for companies and consumers that challenge companies' brand marketing strategies. This paper provides a theoretical basis for expanding microblog applications and a practical basis for improving the effectiveness of brand marketing. The authors use factor analysis to extract the factors of microblog user influence and construct a structural equation model to reveal the interaction mechanism of the influencing factors. Additionally, the authors clarify the promotion and enhancement effects of these factors. Microblog user influence can be converted into richness, interaction and value factors. The richness factor significantly affects the latter two, whereas the interaction factor does not affect the value factor. First, the sample used is limited to media industry practitioners. To increase generalizability, diverse groups should be included in future studies. Second, this model's theoretical explanatory ability can be further developed by adding other meaningful factors beyond the existing ones. This study analyzes the factors of microblog user influence in China and validates the relevant elements. As a result, it improves the influence research on social media users and benefits the practice of information recommendation and microblog marketing.User influence and microblog marketing: a case study of Sina Weibo in China
Xiaoguang Wang, Yijun Gao, Zhuoyao Lu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Microblogs are communication platforms for companies and consumers that challenge companies' brand marketing strategies. This paper provides a theoretical basis for expanding microblog applications and a practical basis for improving the effectiveness of brand marketing.

The authors use factor analysis to extract the factors of microblog user influence and construct a structural equation model to reveal the interaction mechanism of the influencing factors. Additionally, the authors clarify the promotion and enhancement effects of these factors.

Microblog user influence can be converted into richness, interaction and value factors. The richness factor significantly affects the latter two, whereas the interaction factor does not affect the value factor.

First, the sample used is limited to media industry practitioners. To increase generalizability, diverse groups should be included in future studies. Second, this model's theoretical explanatory ability can be further developed by adding other meaningful factors beyond the existing ones.

This study analyzes the factors of microblog user influence in China and validates the relevant elements. As a result, it improves the influence research on social media users and benefits the practice of information recommendation and microblog marketing.

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User influence and microblog marketing: a case study of Sina Weibo in China10.1108/LHT-04-2022-0193Library Hi Tech2023-06-13© 2023 Emerald Publishing LimitedXiaoguang WangYijun GaoZhuoyao LuLibrary Hi Techahead-of-printahead-of-print2023-06-1310.1108/LHT-04-2022-0193https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0193/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Characteristics analysis and evaluation of discourse leading for academic journals: perspectives from multiple integration of altmetrics indicators and evaluation methodshttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0195/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestUnder the background of open science, this paper integrates altmetrics data and combines multiple evaluation methods to analyze and evaluate the indicators' characteristics of discourse leading for academic journals, which is of great significance to enrich and improve the evaluation theory and indicator system of academic journals. This paper obtained 795,631 citations and 10.3 million altmetrics indicators data for 126,424 published papers from 151 medicine, general and internal academic journals. In this paper, descriptive statistical analysis and distribution rules of evaluation indicators are first carried out at the macro level. The distribution characteristics of evaluation indicators under different international collaboration conditions are analyzed at the micro level. Second, according to the characteristics and connotation of the evaluation indicators, the evaluation indicator system is constructed. Third, correlation analysis, factor analysis, entropy weight method and TOPSIS method are adopted to evaluate and analyze the discourse leading in medicine, general and internal academic journals by integrating altmetrics. At the same time, this paper verifies the reliability of the evaluation results. Six features of discourse leading integrated with altmetrics indicators are obtained. In the era of open science, online academic exchanges are becoming more and more popular. The evaluation activities based on altmetrics have fine-grained and procedural advantages. It is feasible and necessary to integrate altmetrics indicators and combine the advantages of multiple methods to evaluate the academic journals' discourse leading of which are in a diversified academic ecosystem. This paper uses descriptive statistical analysis to analyze the distribution characteristics and distribution rules of discourse leading indicators of academic journals and to explore the availability of altmetrics indicators and the effectiveness of constructing an evaluation system. Then, combining the advantages of multiple evaluation methods, The author integrates altmetrics indicators to comprehensively evaluate the discourse leading of academic journals and verify the reliability of the evaluation results. This paper aims to provide references for enriching and improving the evaluation theory and indicator system of academic journals.Characteristics analysis and evaluation of discourse leading for academic journals: perspectives from multiple integration of altmetrics indicators and evaluation methods
Xu Wang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Under the background of open science, this paper integrates altmetrics data and combines multiple evaluation methods to analyze and evaluate the indicators' characteristics of discourse leading for academic journals, which is of great significance to enrich and improve the evaluation theory and indicator system of academic journals.

This paper obtained 795,631 citations and 10.3 million altmetrics indicators data for 126,424 published papers from 151 medicine, general and internal academic journals. In this paper, descriptive statistical analysis and distribution rules of evaluation indicators are first carried out at the macro level. The distribution characteristics of evaluation indicators under different international collaboration conditions are analyzed at the micro level. Second, according to the characteristics and connotation of the evaluation indicators, the evaluation indicator system is constructed. Third, correlation analysis, factor analysis, entropy weight method and TOPSIS method are adopted to evaluate and analyze the discourse leading in medicine, general and internal academic journals by integrating altmetrics. At the same time, this paper verifies the reliability of the evaluation results.

Six features of discourse leading integrated with altmetrics indicators are obtained. In the era of open science, online academic exchanges are becoming more and more popular. The evaluation activities based on altmetrics have fine-grained and procedural advantages. It is feasible and necessary to integrate altmetrics indicators and combine the advantages of multiple methods to evaluate the academic journals' discourse leading of which are in a diversified academic ecosystem.

This paper uses descriptive statistical analysis to analyze the distribution characteristics and distribution rules of discourse leading indicators of academic journals and to explore the availability of altmetrics indicators and the effectiveness of constructing an evaluation system. Then, combining the advantages of multiple evaluation methods, The author integrates altmetrics indicators to comprehensively evaluate the discourse leading of academic journals and verify the reliability of the evaluation results. This paper aims to provide references for enriching and improving the evaluation theory and indicator system of academic journals.

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Characteristics analysis and evaluation of discourse leading for academic journals: perspectives from multiple integration of altmetrics indicators and evaluation methods10.1108/LHT-04-2022-0195Library Hi Tech2022-10-25© 2022 Emerald Publishing LimitedXu WangLibrary Hi Techahead-of-printahead-of-print2022-10-2510.1108/LHT-04-2022-0195https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0195/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Why do people not attend public library programs in the current digital age? A mix method study in Hong Konghttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0217/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study aims to investigate the characteristics of the current situation of library programs and explore the possible reasons behind the low participation in Hong Kong. It focuses on the development of library programs in the era of digital technology, which can lead to discussion and reflections on the further development of library programs with innovative technology services. This study applied a mixed-method research approach to investigate the current situation of library programming and the reasons for low participation in Hong Kong. The first part analyzes the characteristics of library programs offered by the Hong Kong Public Libraries (HKPL) through data collection from the HKPL website. The second part of this study investigated the reasons behind the low participation in library programs through quantitative research through an online survey. The findings show that current library programs were dominated by reading activities and children's programs to a great extent, which both users and non-users are not very interested in. Further, most respondents expressed more interest in cultural and leisure events and hands-on activities (especially new technologies related) than traditional library programming. Many lapsed and non-users chose not to attend the library programs for boredom and uselessness. As a result, there is a need for HKPL to adjust its services to stay relevant to the needs and interests of local communities. Scant studies explored the reasons behind non-users of public library programs, especially in Asia. This research contributes to the literature by analyzing and proposing the characteristics of the current situation of library programs and exploring the possible reasons behind the low participation in Hong Kong.Why do people not attend public library programs in the current digital age? A mix method study in Hong Kong
Shan Shan Lu, Ruwen Tian, Dickson K.W. Chiu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study aims to investigate the characteristics of the current situation of library programs and explore the possible reasons behind the low participation in Hong Kong. It focuses on the development of library programs in the era of digital technology, which can lead to discussion and reflections on the further development of library programs with innovative technology services.

This study applied a mixed-method research approach to investigate the current situation of library programming and the reasons for low participation in Hong Kong. The first part analyzes the characteristics of library programs offered by the Hong Kong Public Libraries (HKPL) through data collection from the HKPL website. The second part of this study investigated the reasons behind the low participation in library programs through quantitative research through an online survey.

The findings show that current library programs were dominated by reading activities and children's programs to a great extent, which both users and non-users are not very interested in. Further, most respondents expressed more interest in cultural and leisure events and hands-on activities (especially new technologies related) than traditional library programming. Many lapsed and non-users chose not to attend the library programs for boredom and uselessness. As a result, there is a need for HKPL to adjust its services to stay relevant to the needs and interests of local communities.

Scant studies explored the reasons behind non-users of public library programs, especially in Asia. This research contributes to the literature by analyzing and proposing the characteristics of the current situation of library programs and exploring the possible reasons behind the low participation in Hong Kong.

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Why do people not attend public library programs in the current digital age? A mix method study in Hong Kong10.1108/LHT-04-2022-0217Library Hi Tech2023-02-02© 2023 Emerald Publishing LimitedShan Shan LuRuwen TianDickson K.W. ChiuLibrary Hi Techahead-of-printahead-of-print2023-02-0210.1108/LHT-04-2022-0217https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2022-0217/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Examining themes of social media users' opinion on remote work during COVID-19 pandemic: a justice theory perspectivehttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2023-0138/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe coronavirus disease 2019 (COVID-19) pandemic caused significant disruption to the global labor market, resulting in a rapid transition toward remote work, e-commerce and workforce automation. This shift has sparked a considerable amount of public discussion. This study aims to explore the online public's sentiment toward remote work amid the pandemic. Based on justice theory, this paper examines user-generated content on social media platforms, particularly Twitter, to gain insight into public opinion and discourse surrounding remote work during the COVID-19 pandemic. Employing content analysis techniques such as sentiment analysis, text clustering and evolutionary analysis, this study aims to identify prevalent topics, temporal patterns and instances of sentiment polarization in tweets. Results show that people with positive opinions focus mainly on personal interests, while others focus on the interests of the company and society; people's subjectivities are higher when they express extremely negative or extremely positive emotions. Distributive justice and interactional justice are distinguishable with a high degree of differentiation in the cluster map. Previous research has inadequately addressed public apprehensions about remote work during emergencies, particularly from a justice-based perspective. This study seeks to fill this gap by examining how justice theory can shed light on the public's views regarding corporate policy-making during emergencies. The results of this study provide valuable insights and guidance for managing public opinion during such events.Examining themes of social media users' opinion on remote work during COVID-19 pandemic: a justice theory perspective
Yunfei Xing, Yuming He, Justin Z. Zhang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The coronavirus disease 2019 (COVID-19) pandemic caused significant disruption to the global labor market, resulting in a rapid transition toward remote work, e-commerce and workforce automation. This shift has sparked a considerable amount of public discussion. This study aims to explore the online public's sentiment toward remote work amid the pandemic.

Based on justice theory, this paper examines user-generated content on social media platforms, particularly Twitter, to gain insight into public opinion and discourse surrounding remote work during the COVID-19 pandemic. Employing content analysis techniques such as sentiment analysis, text clustering and evolutionary analysis, this study aims to identify prevalent topics, temporal patterns and instances of sentiment polarization in tweets.

Results show that people with positive opinions focus mainly on personal interests, while others focus on the interests of the company and society; people's subjectivities are higher when they express extremely negative or extremely positive emotions. Distributive justice and interactional justice are distinguishable with a high degree of differentiation in the cluster map.

Previous research has inadequately addressed public apprehensions about remote work during emergencies, particularly from a justice-based perspective. This study seeks to fill this gap by examining how justice theory can shed light on the public's views regarding corporate policy-making during emergencies. The results of this study provide valuable insights and guidance for managing public opinion during such events.

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Examining themes of social media users' opinion on remote work during COVID-19 pandemic: a justice theory perspective10.1108/LHT-04-2023-0138Library Hi Tech2023-09-12© 2023 Emerald Publishing LimitedYunfei XingYuming HeJustin Z. ZhangLibrary Hi Techahead-of-printahead-of-print2023-09-1210.1108/LHT-04-2023-0138https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2023-0138/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How is the development of library and information science in China?https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2023-0148/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe research in this paper aims to investigate the development of Library and Information Science in Chinese universities. Specifically, it focuses on understanding the spatial and temporal aspects of subject knowledge output and providing a more comprehensive explanation of the imbalance in subject research. This study applies the bibliometric method to analyze 131,112 papers published by 51 universities in mainland China from 1977 to 2021, as recorded in the Chinese Social Sciences Citation Index (CSSCI). The study classifies the evolution trends of the discipline and quantifies the published article data of the universities using the index of published articles. Additionally, it examines the development status, structural situation, influencing factors and prospects of universities in different categories and regions. The field of Library and Information Science is gaining momentum in Chinese universities, but there are significant differences in its development. While the relative gap among universities in a regional context is diminishing, the absolute gap in the category perspective is increasing. The development of Library and Information Science is influenced by various factors, including the academic environment, geographical position, scientific research projects and academic traditions. The uneven development of the discipline is maintained in the short term. This paper proposes a new quantitative index of discipline development, the university publication index. This index allows for an examination of the temporal and spatial trends of discipline development using domestic universities as the subject of research. The paper presents an overview of discipline development through four aspects: academic participation practice, discipline governance mechanisms, education and teaching systems and discourse construction within the discipline. The theoretical support provided by this study can help facilitate innovative development in the discipline.How is the development of library and information science in China?
Weijie Zhu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The research in this paper aims to investigate the development of Library and Information Science in Chinese universities. Specifically, it focuses on understanding the spatial and temporal aspects of subject knowledge output and providing a more comprehensive explanation of the imbalance in subject research.

This study applies the bibliometric method to analyze 131,112 papers published by 51 universities in mainland China from 1977 to 2021, as recorded in the Chinese Social Sciences Citation Index (CSSCI). The study classifies the evolution trends of the discipline and quantifies the published article data of the universities using the index of published articles. Additionally, it examines the development status, structural situation, influencing factors and prospects of universities in different categories and regions.

The field of Library and Information Science is gaining momentum in Chinese universities, but there are significant differences in its development. While the relative gap among universities in a regional context is diminishing, the absolute gap in the category perspective is increasing. The development of Library and Information Science is influenced by various factors, including the academic environment, geographical position, scientific research projects and academic traditions. The uneven development of the discipline is maintained in the short term.

This paper proposes a new quantitative index of discipline development, the university publication index. This index allows for an examination of the temporal and spatial trends of discipline development using domestic universities as the subject of research. The paper presents an overview of discipline development through four aspects: academic participation practice, discipline governance mechanisms, education and teaching systems and discourse construction within the discipline. The theoretical support provided by this study can help facilitate innovative development in the discipline.

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How is the development of library and information science in China?10.1108/LHT-04-2023-0148Library Hi Tech2023-08-31© 2023 Emerald Publishing LimitedWeijie ZhuLibrary Hi Techahead-of-printahead-of-print2023-08-3110.1108/LHT-04-2023-0148https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2023-0148/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Research hotspots, trends and opportunities on the metaverse in health education: a bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-04-2023-0168/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe metaverse offers great potential for creating a new educational environment with unique experiences. Currently, it has been integrated into many stages of education, including classroom study aids, clinical skill interaction and image training simulators, thanks to a new generation of Internet applications. This paper aims to provide a comprehensive systematic review using bibliometric analysis on the metaverse in health education and analyze the trends and patterns of research output within the field. The paper conducts bibliometric analysis and follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a rigorous and transparent review process. Specifically, this article identifies research questions, develops a data-collection strategy and establishes a screening approach that includes determining relevant keywords and applying inclusion and exclusion criteria. A bibliometric analysis is conducted comprising 231 studies from 145 scientific journals to assess the trends, patterns and collaboration networks in research on the use of metaverse technology in health education. This paper provides insights into the research themes, publication trends and countries leading in this field, which can guide future research in this field. The use of metaverse technology in health education has gained momentum in recent years. Despite this interest, comprehensive studies to review and analyze the existing literature on this topic systematically are lacking. In response, this paper provides a systematic review that explores the potential role of the metaverse in health education. By considering the current research, key trends, research hotspots and opportunities for future investigations are identified. The findings not only shed light on the current state of research but also offer guidance for advancing this exciting field.Research hotspots, trends and opportunities on the metaverse in health education: a bibliometric analysis
Gokhan Agac, Ferit Sevim, Omer Celik, Sedat Bostan, Ramazan Erdem, Yusuf Ileri Yalcin
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The metaverse offers great potential for creating a new educational environment with unique experiences. Currently, it has been integrated into many stages of education, including classroom study aids, clinical skill interaction and image training simulators, thanks to a new generation of Internet applications. This paper aims to provide a comprehensive systematic review using bibliometric analysis on the metaverse in health education and analyze the trends and patterns of research output within the field.

The paper conducts bibliometric analysis and follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a rigorous and transparent review process. Specifically, this article identifies research questions, develops a data-collection strategy and establishes a screening approach that includes determining relevant keywords and applying inclusion and exclusion criteria.

A bibliometric analysis is conducted comprising 231 studies from 145 scientific journals to assess the trends, patterns and collaboration networks in research on the use of metaverse technology in health education. This paper provides insights into the research themes, publication trends and countries leading in this field, which can guide future research in this field.

The use of metaverse technology in health education has gained momentum in recent years. Despite this interest, comprehensive studies to review and analyze the existing literature on this topic systematically are lacking. In response, this paper provides a systematic review that explores the potential role of the metaverse in health education. By considering the current research, key trends, research hotspots and opportunities for future investigations are identified. The findings not only shed light on the current state of research but also offer guidance for advancing this exciting field.

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Research hotspots, trends and opportunities on the metaverse in health education: a bibliometric analysis10.1108/LHT-04-2023-0168Library Hi Tech2023-07-26© 2023 Emerald Publishing LimitedGokhan AgacFerit SevimOmer CelikSedat BostanRamazan ErdemYusuf Ileri YalcinLibrary Hi Techahead-of-printahead-of-print2023-07-2610.1108/LHT-04-2023-0168https://www.emerald.com/insight/content/doi/10.1108/LHT-04-2023-0168/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The relation between players' motivation, virtual communities and stickiness in augmented reality gameshttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0225/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this research was to explore the stickiness of players' motivation in a virtual community and to explore the important factors for gamers. In this research, motivation was the independent variable; the virtual community was the mediator; and stickiness was the dependent variable. An online questionnaire survey was conducted, with users of augmented reality (AR) as the research objects. Statistical analysis was carried out using SPSS and AMOS software to verify the research model and research hypotheses, to understand the relation between player motivation and stickiness and to determine whether there were any changes in the virtual community. The authors found that the relation between players' motivation in AR-based games and the virtual community had a significant positive impact. Ingress had a significant positive impact on the virtual community and stickiness, and Pokémon had a significant positive impact too. The virtual community of the Ingress game played a completely mediating role in motivation and stickiness, but the virtual community in Pokémon did not have a mediating effect. The novel approach adopted in this study enabled us to determine the causal relation between player motivation, the virtual community and stickiness, on the basis of the theoretical framework formulated, and the latter was used to construct a path analysis model diagram. The correlation between motivation and the virtual community, between the virtual community and stickiness, and the causal relation between all three was verified. The study results and conclusions may help companies understand how to use virtual communities in AR games to improve stickiness and motivate gamers to continue playing.The relation between players' motivation, virtual communities and stickiness in augmented reality games
Rong Zhang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this research was to explore the stickiness of players' motivation in a virtual community and to explore the important factors for gamers.

In this research, motivation was the independent variable; the virtual community was the mediator; and stickiness was the dependent variable. An online questionnaire survey was conducted, with users of augmented reality (AR) as the research objects. Statistical analysis was carried out using SPSS and AMOS software to verify the research model and research hypotheses, to understand the relation between player motivation and stickiness and to determine whether there were any changes in the virtual community.

The authors found that the relation between players' motivation in AR-based games and the virtual community had a significant positive impact. Ingress had a significant positive impact on the virtual community and stickiness, and Pokémon had a significant positive impact too. The virtual community of the Ingress game played a completely mediating role in motivation and stickiness, but the virtual community in Pokémon did not have a mediating effect.

The novel approach adopted in this study enabled us to determine the causal relation between player motivation, the virtual community and stickiness, on the basis of the theoretical framework formulated, and the latter was used to construct a path analysis model diagram. The correlation between motivation and the virtual community, between the virtual community and stickiness, and the causal relation between all three was verified. The study results and conclusions may help companies understand how to use virtual communities in AR games to improve stickiness and motivate gamers to continue playing.

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The relation between players' motivation, virtual communities and stickiness in augmented reality games10.1108/LHT-05-2022-0225Library Hi Tech2022-12-15© 2022 Emerald Publishing LimitedRong ZhangLibrary Hi Techahead-of-printahead-of-print2022-12-1510.1108/LHT-05-2022-0225https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0225/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Open data: an innovative learning resource for postgraduateshttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0228/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the continuous development of the global COVID-19 epidemic, mobile learning has become one of the most significant learning approaches. The mobile learning resource is the basis of mobile learning; it may directly affect the effectiveness of mobile learning. However, the current learning resources cannot meet users' needs. This study aims to analyze the influencing factors of accepting open data as learning resources among users. Based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT), this study proposed a comprehensive theoretical research model. Data were obtained from 398 postgraduates from several universities in central China. Confirmatory factor analysis was used to determine the reliability and validity of the measurement model. Data has been analyzed using SPSS and AMOS software. The results suggested that perceived usefulness, performance expectancy, social influence and facilitating conditions have a positive influence on accepting open data as learning resources. Perceived ease of use was not found significant. Moreover, it was further shown in the study that behavioural intention significantly influenced the acceptance of open data as learning resources. There is a lack of research on open data as learning resources in developing countries, especially in China. This study addresses the gap and helps us understand the acceptance of open data as learning resources in higher education. This study also pays attention to postgraduates' choice of learning resources, which has been little noticed before. Additionally, this study offers opportunities for further studies on the continuous usage of open data in higher education.Open data: an innovative learning resource for postgraduates
Wuxiang Dai, Yucen Zhou, Congcong Zhang, Hui Zhang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the continuous development of the global COVID-19 epidemic, mobile learning has become one of the most significant learning approaches. The mobile learning resource is the basis of mobile learning; it may directly affect the effectiveness of mobile learning. However, the current learning resources cannot meet users' needs. This study aims to analyze the influencing factors of accepting open data as learning resources among users.

Based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT), this study proposed a comprehensive theoretical research model. Data were obtained from 398 postgraduates from several universities in central China. Confirmatory factor analysis was used to determine the reliability and validity of the measurement model. Data has been analyzed using SPSS and AMOS software.

The results suggested that perceived usefulness, performance expectancy, social influence and facilitating conditions have a positive influence on accepting open data as learning resources. Perceived ease of use was not found significant. Moreover, it was further shown in the study that behavioural intention significantly influenced the acceptance of open data as learning resources.

There is a lack of research on open data as learning resources in developing countries, especially in China. This study addresses the gap and helps us understand the acceptance of open data as learning resources in higher education. This study also pays attention to postgraduates' choice of learning resources, which has been little noticed before. Additionally, this study offers opportunities for further studies on the continuous usage of open data in higher education.

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Open data: an innovative learning resource for postgraduates10.1108/LHT-05-2022-0228Library Hi Tech2023-01-17© 2022 Emerald Publishing LimitedWuxiang DaiYucen ZhouCongcong ZhangHui ZhangLibrary Hi Techahead-of-printahead-of-print2023-01-1710.1108/LHT-05-2022-0228https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0228/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Social networking sites adoption among entrepreneurial librarians for globalizing startup business operationshttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0234/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to identify the factors leading to adoption of social networking sites (SNS) by librarians of entrepreneurial libraries to provide support to business community in their market research. Identification of these adoption factors will help to design SNS in the way that led to their seamless diffusion in university libraries, making them capable of providing reliable and useful market knowledge to the business community. To meet the research objectives, this study is based on the technology adoption model (TAM). The survey was conducted with 50 librarians of various universities across Europe, Asia, America, Africa and Australia, sampled through non probabilistic sampling techniques-purposive and snowball sampling. The collected data are analyzed through partial least squares structural equation modeling (PLS-SEM) to estimate the formulated structural equation model using SmartPLS 3.2.9 software version. The results indicate that university librarians have high perception about usefulness and ease of using SNS for meeting their business objectives. The perceived usefulness (PU) is solely based on the prolonged adoption of SNS technology in personal lives of the librarians. The perceived ease of use (PEU) is triggered by the increasing quality of evolving SNS technology, especially user friendliness. The prolonged use of technology, increasing market entry of brands and improving quality of SNS will overcome librarian resistance to use SNS for market research related support to business community. Evolving technologies are more likely to be adopted seamlessly in entrepreneurial libraries. This study has implications for librarians, entrepreneurs and technology providers. Librarians should have flexible technology adoption policies in place to keep technology adoption synchronized with changing market conditions. Entrepreneurs should share clear and accurate business needs as well as practicing ethical and lawful business practices. They should also help libraries to gain new skills to make future adoption easier. Technology providers should focus on improving the quality of their technology by increasing their functional utilities, performance and reliability as well as making them more user-friendly. This study investigates technology adoption of SNS in libraries from the perspective of providing market research related services to entrepreneurs rather than just digitalizing library services for student users.Social networking sites adoption among entrepreneurial librarians for globalizing startup business operations
Varun Gupta, Luis Rubalcaba, Chetna Gupta, Leandro Pereira
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to identify the factors leading to adoption of social networking sites (SNS) by librarians of entrepreneurial libraries to provide support to business community in their market research. Identification of these adoption factors will help to design SNS in the way that led to their seamless diffusion in university libraries, making them capable of providing reliable and useful market knowledge to the business community.

To meet the research objectives, this study is based on the technology adoption model (TAM). The survey was conducted with 50 librarians of various universities across Europe, Asia, America, Africa and Australia, sampled through non probabilistic sampling techniques-purposive and snowball sampling. The collected data are analyzed through partial least squares structural equation modeling (PLS-SEM) to estimate the formulated structural equation model using SmartPLS 3.2.9 software version.

The results indicate that university librarians have high perception about usefulness and ease of using SNS for meeting their business objectives. The perceived usefulness (PU) is solely based on the prolonged adoption of SNS technology in personal lives of the librarians. The perceived ease of use (PEU) is triggered by the increasing quality of evolving SNS technology, especially user friendliness. The prolonged use of technology, increasing market entry of brands and improving quality of SNS will overcome librarian resistance to use SNS for market research related support to business community. Evolving technologies are more likely to be adopted seamlessly in entrepreneurial libraries.

This study has implications for librarians, entrepreneurs and technology providers. Librarians should have flexible technology adoption policies in place to keep technology adoption synchronized with changing market conditions. Entrepreneurs should share clear and accurate business needs as well as practicing ethical and lawful business practices. They should also help libraries to gain new skills to make future adoption easier. Technology providers should focus on improving the quality of their technology by increasing their functional utilities, performance and reliability as well as making them more user-friendly.

This study investigates technology adoption of SNS in libraries from the perspective of providing market research related services to entrepreneurs rather than just digitalizing library services for student users.

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Social networking sites adoption among entrepreneurial librarians for globalizing startup business operations10.1108/LHT-05-2022-0234Library Hi Tech2022-08-25© 2022 Emerald Publishing LimitedVarun GuptaLuis RubalcabaChetna GuptaLeandro PereiraLibrary Hi Techahead-of-printahead-of-print2022-08-2510.1108/LHT-05-2022-0234https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0234/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
A theoretical model and empirical analysis of university library readers' spatial cognitionhttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0242/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe practice of renovation and construction of university libraries is flourishing, but how to attract readers to use the library is an issue that urgently needs to be explored. Spatial cognition is a subjective judgment of a person's tendency to take action in the future and implies behavioral intention. Based on the sensory–image–cognition relationship, a theoretical model of university library readers' spatial cognition is conducted, and the influencing factors and mechanisms of spatial cognition are explored based on empirical data to provide theoretical references for spatial practices in university libraries. A visual and art-based mental map approach is introduced based on a questionnaire survey. The questionnaire is mainly used for the specific evaluation of spatial use and the breakdown of the detailed elements, while the mental map method is mainly used for the evaluation of readers' spatial cognition. Relevant empirical data are collected from the library of the Zhejiang University of Technology. The results indicate that readers' spatial sensory experience and mental imagery have positive effects on readers' behavior via the mediator spatial cognition, readers' spatial sensory experience and mental imagery have a positive effect on readers' spatial cognition and spatial cognition has a significant effect on readers' behavior. The main contribution of this study is to construct a theoretical model of readers' spatial cognition and to explore the factors that have an impact on spatial cognition and the influence of cognition on behavior. This provides a more rational and in-depth thinking paradigm for the study of university library space and provides theoretical references for library practice.A theoretical model and empirical analysis of university library readers' spatial cognition
Yiping Jiang, Yanhua Chen, Xiaobo Chi
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The practice of renovation and construction of university libraries is flourishing, but how to attract readers to use the library is an issue that urgently needs to be explored. Spatial cognition is a subjective judgment of a person's tendency to take action in the future and implies behavioral intention. Based on the sensory–image–cognition relationship, a theoretical model of university library readers' spatial cognition is conducted, and the influencing factors and mechanisms of spatial cognition are explored based on empirical data to provide theoretical references for spatial practices in university libraries.

A visual and art-based mental map approach is introduced based on a questionnaire survey. The questionnaire is mainly used for the specific evaluation of spatial use and the breakdown of the detailed elements, while the mental map method is mainly used for the evaluation of readers' spatial cognition. Relevant empirical data are collected from the library of the Zhejiang University of Technology.

The results indicate that readers' spatial sensory experience and mental imagery have positive effects on readers' behavior via the mediator spatial cognition, readers' spatial sensory experience and mental imagery have a positive effect on readers' spatial cognition and spatial cognition has a significant effect on readers' behavior.

The main contribution of this study is to construct a theoretical model of readers' spatial cognition and to explore the factors that have an impact on spatial cognition and the influence of cognition on behavior. This provides a more rational and in-depth thinking paradigm for the study of university library space and provides theoretical references for library practice.

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A theoretical model and empirical analysis of university library readers' spatial cognition10.1108/LHT-05-2022-0242Library Hi Tech2022-08-02© 2022 Emerald Publishing LimitedYiping JiangYanhua ChenXiaobo ChiLibrary Hi Techahead-of-printahead-of-print2022-08-0210.1108/LHT-05-2022-0242https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0242/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
The ecosystem of research tools for scholarly communicationhttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0259/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestNumerous research tools exist but their usage among researchers across the different phases of the research cycle of scholarly communication remains unknown. This research aims to address this knowledge gap by mapping the research tools frequently used by global researchers against the various phases of the research cycle of scholarly communication. This research adopts a descriptive research design and conducts a cross-tabulation of secondary data consisting of 20,663 useable responses in a global survey of research tools for scholarly communication. This research also administered a survey to academic experts to classify the research tools according to traditional, modern, innovative and experimental categories. This research reveals the six phases of the research cycle (i.e. discovery, analysis, writing, publication, outreach and assessment) and the research tools of scholarly communication frequently used by researchers worldwide in each phase as a whole and by roles, disciplines, regions and career stages. Notably, this research indicates that most of the research tools used by researchers are classified as “modern” and “innovative”. The original insights herein should be useful for both established and early career researchers to gain and share research insights, as well as policymakers and existing and aspiring service providers who wish to improve the utility and usage of research tools for scholarly communication. Notably, this research represents a seminal endeavor at enhancing a global survey (secondary research) using a follow-up expert survey (primary research), which enabled the organization of research tools for scholarly communication into four refined categories. In doing so, this research contributes finer-grained insights that showcase the importance of keeping up with the advancement of technology through the use of modern, innovative and experimental research tools, thereby highlighting the need to go beyond traditional research tools for scholarly communication.The ecosystem of research tools for scholarly communication
Purnima Rao, Satish Kumar, Weng Marc Lim, Akshat Aditya Rao
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Numerous research tools exist but their usage among researchers across the different phases of the research cycle of scholarly communication remains unknown. This research aims to address this knowledge gap by mapping the research tools frequently used by global researchers against the various phases of the research cycle of scholarly communication.

This research adopts a descriptive research design and conducts a cross-tabulation of secondary data consisting of 20,663 useable responses in a global survey of research tools for scholarly communication. This research also administered a survey to academic experts to classify the research tools according to traditional, modern, innovative and experimental categories.

This research reveals the six phases of the research cycle (i.e. discovery, analysis, writing, publication, outreach and assessment) and the research tools of scholarly communication frequently used by researchers worldwide in each phase as a whole and by roles, disciplines, regions and career stages. Notably, this research indicates that most of the research tools used by researchers are classified as “modern” and “innovative”.

The original insights herein should be useful for both established and early career researchers to gain and share research insights, as well as policymakers and existing and aspiring service providers who wish to improve the utility and usage of research tools for scholarly communication. Notably, this research represents a seminal endeavor at enhancing a global survey (secondary research) using a follow-up expert survey (primary research), which enabled the organization of research tools for scholarly communication into four refined categories. In doing so, this research contributes finer-grained insights that showcase the importance of keeping up with the advancement of technology through the use of modern, innovative and experimental research tools, thereby highlighting the need to go beyond traditional research tools for scholarly communication.

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The ecosystem of research tools for scholarly communication10.1108/LHT-05-2022-0259Library Hi Tech2022-11-23© 2022 Emerald Publishing LimitedPurnima RaoSatish KumarWeng Marc LimAkshat Aditya RaoLibrary Hi Techahead-of-printahead-of-print2022-11-2310.1108/LHT-05-2022-0259https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0259/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
A framework of genealogy knowledge reasoning and visualization based on a knowledge graphhttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0265/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the development of data mining technology, diverse and broader domain knowledge can be extracted automatically. However, the research on applying knowledge mapping and data visualization techniques to genealogical data is limited. This paper aims to fill this research gap by providing a systematic framework and process guidance for practitioners seeking to uncover hidden knowledge from genealogy. Based on a literature review of genealogy's current knowledge reasoning research, the authors constructed an integrated framework for knowledge inference and visualization application using a knowledge graph. Additionally, the authors applied this framework in a case study using “Manchu Clan Genealogy” as the data source. The case study shows that the proposed framework can effectively decompose and reconstruct genealogy. It demonstrates the reasoning, discovery, and web visualization application process of implicit information in genealogy. It enhances the effective utilization of Manchu genealogy resources by highlighting the intricate relationships among people, places, and time entities. This study proposed a framework for genealogy knowledge reasoning and visual analysis utilizing a knowledge graph, including five dimensions: the target layer, the resource layer, the data layer, the inference layer, and the application layer. It helps to gather the scattered genealogy information and establish a data network with semantic correlations while establishing reasoning rules to enable inference discovery and visualization of hidden relationships.A framework of genealogy knowledge reasoning and visualization based on a knowledge graph
Ruan Wang, Jun Deng, Xinhui Guan, Yuming He
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the development of data mining technology, diverse and broader domain knowledge can be extracted automatically. However, the research on applying knowledge mapping and data visualization techniques to genealogical data is limited. This paper aims to fill this research gap by providing a systematic framework and process guidance for practitioners seeking to uncover hidden knowledge from genealogy.

Based on a literature review of genealogy's current knowledge reasoning research, the authors constructed an integrated framework for knowledge inference and visualization application using a knowledge graph. Additionally, the authors applied this framework in a case study using “Manchu Clan Genealogy” as the data source.

The case study shows that the proposed framework can effectively decompose and reconstruct genealogy. It demonstrates the reasoning, discovery, and web visualization application process of implicit information in genealogy. It enhances the effective utilization of Manchu genealogy resources by highlighting the intricate relationships among people, places, and time entities.

This study proposed a framework for genealogy knowledge reasoning and visual analysis utilizing a knowledge graph, including five dimensions: the target layer, the resource layer, the data layer, the inference layer, and the application layer. It helps to gather the scattered genealogy information and establish a data network with semantic correlations while establishing reasoning rules to enable inference discovery and visualization of hidden relationships.

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A framework of genealogy knowledge reasoning and visualization based on a knowledge graph10.1108/LHT-05-2022-0265Library Hi Tech2023-06-30© 2023 Emerald Publishing LimitedRuan WangJun DengXinhui GuanYuming HeLibrary Hi Techahead-of-printahead-of-print2023-06-3010.1108/LHT-05-2022-0265https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0265/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Examining differences in perceived usability of Google Drive among public library usershttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0275/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to explore differences in the usability of the Google Drive application based on demographic characteristics, computer skills and use frequency of Google Drive among public library users of Lahore. The study adopted a quantitative approach and survey-based research method to achieve the study's objectives. The cloud usability model (user perspective) has been used as a theoretical lens to guide the study objectives. It comprises five dimensions of usability – capable, personal, reliable, valuable and secure. The findings of the study revealed that the usability of Google Drive varied statistically significantly on the basis of depending on the respondents gender, age, academic qualification, computer skills and Google Drive use frequency. It is a valuable study since it and adds knowledge to existing literature and has implications for practice. The findings might be helpful for cloud support teams including Google Drive as they can notice the demographic and other differences among users' perceived usability of Google Drive and can enhance certain features of usability which leads attributes to increase its usage among users.Examining differences in perceived usability of Google Drive among public library users
Farwa Taqi, Syeda Hina Batool, Alia Arshad
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to explore differences in the usability of the Google Drive application based on demographic characteristics, computer skills and use frequency of Google Drive among public library users of Lahore.

The study adopted a quantitative approach and survey-based research method to achieve the study's objectives. The cloud usability model (user perspective) has been used as a theoretical lens to guide the study objectives. It comprises five dimensions of usability – capable, personal, reliable, valuable and secure.

The findings of the study revealed that the usability of Google Drive varied statistically significantly on the basis of depending on the respondents gender, age, academic qualification, computer skills and Google Drive use frequency.

It is a valuable study since it and adds knowledge to existing literature and has implications for practice.

The findings might be helpful for cloud support teams including Google Drive as they can notice the demographic and other differences among users' perceived usability of Google Drive and can enhance certain features of usability which leads attributes to increase its usage among users.

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Examining differences in perceived usability of Google Drive among public library users10.1108/LHT-05-2022-0275Library Hi Tech2023-06-30© 2023 Emerald Publishing LimitedFarwa TaqiSyeda Hina BatoolAlia ArshadLibrary Hi Techahead-of-printahead-of-print2023-06-3010.1108/LHT-05-2022-0275https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2022-0275/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Ukrainian arts and humanities research in Scopus: a bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2023-0180/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article presents the results of a quantitative analysis of Ukrainian arts and humanities (A&H) research from 2012 to 2021, as observed in Scopus. The overall publication activity and the relative share of A&H publications in relation to Ukraine's total research output, comparing them with other countries. The study analyzes the diversity and total number of sources, as well as the geographic distribution of authors and citing authors, to provide insights into the internationalization level of Ukrainian A&H research. Additionally, the topical spectrum and language usage are considered to complete the overall picture. This study uses the Scopus database as the primary data source for analyzing the general bibliometric characteristics of Ukrainian A&H research. All document types, except Erratum, were considered. A language filter was applied to compare the bibliometric characteristics of English versus non-English publications. In addition to directly imported data from Scopus, the study employs the ready-to-use SciVal tools to operate with A&H subcategories and calculate additional bibliometric characteristics, such as Citations per Publication (CPP), Field-Weighted Citation Impact (FWCI) and journal quartiles. Information on the country of journal publishers and details on delisted journals from Scopus were obtained from the official Source Title List available on the Elsevier website and the SCImago Journal and Country Rank Portal. According to the results obtained, the publication patterns for Ukrainian A&H research exhibit dynamics comparable to those of other countries, with a gradual increase in the total number of papers and sources. However, the citedness is lower than expected, and the share of publications in top-quartile sources is lower for 2020–2021 period compared to the previous years. The impact of internationally collaborative papers, especially those in English, is higher. Nevertheless, over half of all works remain uncited, probably due to the limited readership of the journals selected for publication. This study provides original insights into the bibliometric characteristics of Ukrainian A&H publications between 2012 and 2021, as assessed using the Scopus database. The authors’ findings reveal that Ukraine's A&H publications have higher visibility than some Asian countries with similar population sizes. However, in comparison to other countries of similar size, Ukraine's research output is smaller. The authors also discovered that cultural and historical similarities with neighboring countries play a more significant role in publication activity than population size. This study highlights the low integration of Ukrainian A&H research into the global academic community, evident through a decline in papers published in influential journals and poor citedness. These findings underscore the importance for authors to prioritize disseminating research in influential journals, rather than solely focusing on indexing in particular databases.Ukrainian arts and humanities research in Scopus: a bibliometric analysis
Serhii Nazarovets, Olesya Mryglod
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article presents the results of a quantitative analysis of Ukrainian arts and humanities (A&H) research from 2012 to 2021, as observed in Scopus. The overall publication activity and the relative share of A&H publications in relation to Ukraine's total research output, comparing them with other countries. The study analyzes the diversity and total number of sources, as well as the geographic distribution of authors and citing authors, to provide insights into the internationalization level of Ukrainian A&H research. Additionally, the topical spectrum and language usage are considered to complete the overall picture.

This study uses the Scopus database as the primary data source for analyzing the general bibliometric characteristics of Ukrainian A&H research. All document types, except Erratum, were considered. A language filter was applied to compare the bibliometric characteristics of English versus non-English publications. In addition to directly imported data from Scopus, the study employs the ready-to-use SciVal tools to operate with A&H subcategories and calculate additional bibliometric characteristics, such as Citations per Publication (CPP), Field-Weighted Citation Impact (FWCI) and journal quartiles. Information on the country of journal publishers and details on delisted journals from Scopus were obtained from the official Source Title List available on the Elsevier website and the SCImago Journal and Country Rank Portal.

According to the results obtained, the publication patterns for Ukrainian A&H research exhibit dynamics comparable to those of other countries, with a gradual increase in the total number of papers and sources. However, the citedness is lower than expected, and the share of publications in top-quartile sources is lower for 2020–2021 period compared to the previous years. The impact of internationally collaborative papers, especially those in English, is higher. Nevertheless, over half of all works remain uncited, probably due to the limited readership of the journals selected for publication.

This study provides original insights into the bibliometric characteristics of Ukrainian A&H publications between 2012 and 2021, as assessed using the Scopus database. The authors’ findings reveal that Ukraine's A&H publications have higher visibility than some Asian countries with similar population sizes. However, in comparison to other countries of similar size, Ukraine's research output is smaller. The authors also discovered that cultural and historical similarities with neighboring countries play a more significant role in publication activity than population size. This study highlights the low integration of Ukrainian A&H research into the global academic community, evident through a decline in papers published in influential journals and poor citedness. These findings underscore the importance for authors to prioritize disseminating research in influential journals, rather than solely focusing on indexing in particular databases.

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Ukrainian arts and humanities research in Scopus: a bibliometric analysis10.1108/LHT-05-2023-0180Library Hi Tech2023-08-15© 2023 Emerald Publishing LimitedSerhii NazarovetsOlesya MryglodLibrary Hi Techahead-of-printahead-of-print2023-08-1510.1108/LHT-05-2023-0180https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2023-0180/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring the landscape of big data applications in librarianship: a bibliometric analysis of research trends and patternshttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2023-0193/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis bibliometric study aims to analyze the latest trends and patterns of big data applications in librarianship from 2000 to 2022. By conducting a comprehensive examination of the existing literature, this study aims to provide valuable insights into the emerging field of big data in librarianship and its potential impact on the future of libraries. This study employed a rigorous four-stage process of identification, screening, eligibility and inclusion to filter and select the most relevant documents for analysis. The Scopus database was utilized to retrieve pertinent data related to big data applications in librarianship. The dataset comprised 430 documents, including journal articles, conference papers, book chapters, reviews and books. Through bibliometric analysis, the study examined the effectiveness of different publication types and identified the main topics and themes within the field. The study found that the field of big data in librarianship is growing rapidly, with a significant increase in publications and citations over the past few years. China is the leading country in terms of publication output, followed by the United States of America. The most influential journals in the field are Library Hi Tech and the ACM International Conference Proceeding Series. The top authors in the field are Minami T, Wu J, Fox EA and Giles CL. The most common keywords in the literature are big data, librarianship, data mining, information retrieval, machine learning and webometrics. This bibliometric study contributes to the existing body of literature by comprehensively analyzing the latest trends and patterns in big data applications within librarianship. It offers a systematic approach to understanding the state of the field and highlights the unique contributions made by various types of publications. The study’s findings and insights contribute to the originality of this research, providing a foundation for further exploration and advancement in the field of big data in librarianship.Exploring the landscape of big data applications in librarianship: a bibliometric analysis of research trends and patterns
Md. Nurul Islam, Guangwei Hu, Murtaza Ashiq, Shakil Ahmad
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This bibliometric study aims to analyze the latest trends and patterns of big data applications in librarianship from 2000 to 2022. By conducting a comprehensive examination of the existing literature, this study aims to provide valuable insights into the emerging field of big data in librarianship and its potential impact on the future of libraries.

This study employed a rigorous four-stage process of identification, screening, eligibility and inclusion to filter and select the most relevant documents for analysis. The Scopus database was utilized to retrieve pertinent data related to big data applications in librarianship. The dataset comprised 430 documents, including journal articles, conference papers, book chapters, reviews and books. Through bibliometric analysis, the study examined the effectiveness of different publication types and identified the main topics and themes within the field.

The study found that the field of big data in librarianship is growing rapidly, with a significant increase in publications and citations over the past few years. China is the leading country in terms of publication output, followed by the United States of America. The most influential journals in the field are Library Hi Tech and the ACM International Conference Proceeding Series. The top authors in the field are Minami T, Wu J, Fox EA and Giles CL. The most common keywords in the literature are big data, librarianship, data mining, information retrieval, machine learning and webometrics.

This bibliometric study contributes to the existing body of literature by comprehensively analyzing the latest trends and patterns in big data applications within librarianship. It offers a systematic approach to understanding the state of the field and highlights the unique contributions made by various types of publications. The study’s findings and insights contribute to the originality of this research, providing a foundation for further exploration and advancement in the field of big data in librarianship.

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Exploring the landscape of big data applications in librarianship: a bibliometric analysis of research trends and patterns10.1108/LHT-05-2023-0193Library Hi Tech2024-03-26© 2024 Emerald Publishing LimitedMd. Nurul IslamGuangwei HuMurtaza AshiqShakil AhmadLibrary Hi Techahead-of-printahead-of-print2024-03-2610.1108/LHT-05-2023-0193https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2023-0193/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Designing an axial code pattern for absorptive capacity of knowledge in academic libraries: examining the effect of individual and organizational learninghttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2023-0194/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of the present study was to identify the conditions that affect the absorptive capacity (AC) of knowledge, discover its consequences and design an AC paradigm pattern in public academic libraries. To do so, AC was investigated at the levels of individual and organizational learning. In this paper, to answer the three major questions of this qualitative-survey study, the views of 24 experts were examined using an in-depth semi-structured interview and grounded theory strategy. The data were collected using a nonrandom combined targeted sampling procedure (targeted and snowball) and analyzed based on Strauss and Corbin’s (1998) approach and utilizing MAX Qualitative Data Analysis (MAXQDA) software. Throughout the grounded analytic stages, 121 open codes were identified. These were distributed around the AC axial category in academic libraries in terms of individual and organizational learning. The 33 axial concepts were then categorized into 16 selective general categories. The paradigm pattern was initially designed to explore the relationships between causal, intervening, strategies, context and consequences conditions. The transition from academic libraries to learning organizations, their increased functional value and the development of their innovation were identified as the consequences of AC development. This qualitative research is the first in the field of Library and Information Science (LIS) to support AC both theoretically and empirically in terms of learning in academic libraries. This study thus not only addresses a key research gap in LIS but also provides significant insights and direction to interested librarians and researchers.Designing an axial code pattern for absorptive capacity of knowledge in academic libraries: examining the effect of individual and organizational learning
Mojtaba Kaffashan Kakhki, Joel R. Malin, Farahnaz Naderbeigi, Iman Maleksadati, Hassan Behzadi
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of the present study was to identify the conditions that affect the absorptive capacity (AC) of knowledge, discover its consequences and design an AC paradigm pattern in public academic libraries. To do so, AC was investigated at the levels of individual and organizational learning.

In this paper, to answer the three major questions of this qualitative-survey study, the views of 24 experts were examined using an in-depth semi-structured interview and grounded theory strategy. The data were collected using a nonrandom combined targeted sampling procedure (targeted and snowball) and analyzed based on Strauss and Corbin’s (1998) approach and utilizing MAX Qualitative Data Analysis (MAXQDA) software.

Throughout the grounded analytic stages, 121 open codes were identified. These were distributed around the AC axial category in academic libraries in terms of individual and organizational learning. The 33 axial concepts were then categorized into 16 selective general categories. The paradigm pattern was initially designed to explore the relationships between causal, intervening, strategies, context and consequences conditions. The transition from academic libraries to learning organizations, their increased functional value and the development of their innovation were identified as the consequences of AC development.

This qualitative research is the first in the field of Library and Information Science (LIS) to support AC both theoretically and empirically in terms of learning in academic libraries. This study thus not only addresses a key research gap in LIS but also provides significant insights and direction to interested librarians and researchers.

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Designing an axial code pattern for absorptive capacity of knowledge in academic libraries: examining the effect of individual and organizational learning10.1108/LHT-05-2023-0194Library Hi Tech2023-12-18© 2023 Emerald Publishing LimitedMojtaba Kaffashan KakhkiJoel R. MalinFarahnaz NaderbeigiIman MaleksadatiHassan BehzadiLibrary Hi Techahead-of-printahead-of-print2023-12-1810.1108/LHT-05-2023-0194https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2023-0194/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Collective impression management and collective privacy concerns in co-owned information disclosure: the mediating role of relationship support and relationship riskhttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2023-0196/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe privacy calculus based on a single stakeholder failed to explain users' co-owned information disclosure owing to the uniqueness of co-owned information. Drawing on collective privacy calculus theory and impression management theory, this study attempts to explore the co-owned information disclosure of social network platform users from a collective perspective rather than an individual perspective. Drawing on collective privacy calculus theory and impression management theory, this study explores the co-owned information disclosure of social network platform users from a collective perspective rather than an individual perspective based on a survey of 740 respondents. This study finds that self-presentation and others presentation directly positively affect users' co-owned information disclosure. Also, self-presentation, others presentation and relationship presentation indirectly positively affect users' co-owned information disclosure via relationship support. Furthermore, personal privacy concern, others' privacy concern and relationship privacy concern indirectly negatively affect users' co-owned information disclosure via relationship risk. The findings develop the theory of collective privacy calculus and impression management, which offer insights into the design of the collective privacy protection function of social network platform service providers.Collective impression management and collective privacy concerns in co-owned information disclosure: the mediating role of relationship support and relationship risk
Yafei Feng, Yan Zhang, Lifu Li
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The privacy calculus based on a single stakeholder failed to explain users' co-owned information disclosure owing to the uniqueness of co-owned information. Drawing on collective privacy calculus theory and impression management theory, this study attempts to explore the co-owned information disclosure of social network platform users from a collective perspective rather than an individual perspective.

Drawing on collective privacy calculus theory and impression management theory, this study explores the co-owned information disclosure of social network platform users from a collective perspective rather than an individual perspective based on a survey of 740 respondents.

This study finds that self-presentation and others presentation directly positively affect users' co-owned information disclosure. Also, self-presentation, others presentation and relationship presentation indirectly positively affect users' co-owned information disclosure via relationship support. Furthermore, personal privacy concern, others' privacy concern and relationship privacy concern indirectly negatively affect users' co-owned information disclosure via relationship risk.

The findings develop the theory of collective privacy calculus and impression management, which offer insights into the design of the collective privacy protection function of social network platform service providers.

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Collective impression management and collective privacy concerns in co-owned information disclosure: the mediating role of relationship support and relationship risk10.1108/LHT-05-2023-0196Library Hi Tech2023-12-20© 2023 Emerald Publishing LimitedYafei FengYan ZhangLifu LiLibrary Hi Techahead-of-printahead-of-print2023-12-2010.1108/LHT-05-2023-0196https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2023-0196/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring the dimensions of ChatGPT in English language learning: a global perspectivehttps://www.emerald.com/insight/content/doi/10.1108/LHT-05-2023-0200/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe proliferation of ChatGPT, as in many other digital technologies and social media, has increasingly impacted many aspects of modern life, including second and foreign language education. This study, building on a common theoretical position of all these advances in Artificial intelligence (AI), seeks to establish a model for ChatGPT research on English language learning. It specifically explores the dimensions in which ChatGPT aids students in their English language learning. The study adopts grounded theory in collecting and analyzing data from 20 ResearchGater (RG) through a two-week RG discussion about ChatGPT uses in their language learning contexts. Data collected via the discussion was analyzed thematically. Preliminary findings show that ChatGPT can be used in developing learners' language skills; scaffolding the learning process by providing feedback to students on their language use and acting as partners in practicing language with recommended activities for more language practice. The study contributes a five-dimension model for artificial intelligence assisted language learning (AIALL). The model involves flexible teacher's role to consolidate learner autonomy and provide enjoyable learning, urges future innovation, and celebrates various applications. Examining the AIALL model of ChatGPT for language learning, teachers should provide some directions for properly using this new application.Exploring the dimensions of ChatGPT in English language learning: a global perspective
Wagdi Rashad Ali Bin-Hady, Abdu Al-Kadi, Abduljalil Hazaea, Jamal Kaid Mohammed Ali
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The proliferation of ChatGPT, as in many other digital technologies and social media, has increasingly impacted many aspects of modern life, including second and foreign language education. This study, building on a common theoretical position of all these advances in Artificial intelligence (AI), seeks to establish a model for ChatGPT research on English language learning. It specifically explores the dimensions in which ChatGPT aids students in their English language learning.

The study adopts grounded theory in collecting and analyzing data from 20 ResearchGater (RG) through a two-week RG discussion about ChatGPT uses in their language learning contexts. Data collected via the discussion was analyzed thematically.

Preliminary findings show that ChatGPT can be used in developing learners' language skills; scaffolding the learning process by providing feedback to students on their language use and acting as partners in practicing language with recommended activities for more language practice.

The study contributes a five-dimension model for artificial intelligence assisted language learning (AIALL). The model involves flexible teacher's role to consolidate learner autonomy and provide enjoyable learning, urges future innovation, and celebrates various applications. Examining the AIALL model of ChatGPT for language learning, teachers should provide some directions for properly using this new application.

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Exploring the dimensions of ChatGPT in English language learning: a global perspective10.1108/LHT-05-2023-0200Library Hi Tech2023-07-25© 2023 Emerald Publishing LimitedWagdi Rashad Ali Bin-HadyAbdu Al-KadiAbduljalil HazaeaJamal Kaid Mohammed AliLibrary Hi Techahead-of-printahead-of-print2023-07-2510.1108/LHT-05-2023-0200https://www.emerald.com/insight/content/doi/10.1108/LHT-05-2023-0200/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Analysis of interdisciplinary characteristics and knowledge structure from multidimensional perspective: a case study of national fitness topic in Chinahttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2021-0189/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe sudden COVID-19 epidemic in 2019 has frustrated China's overall economy, and the implementation and development of the National Fitness Program has encountered huge obstacles. At a new historical starting point, in order to realize the dream of becoming a powerful country in sports, it is necessary to transform the successful experience gained since the reform and opening up into regular understanding and systematic theories, so as to make a theoretical response to the new contradictions and challenges faced in development and give full play to the National Fitness has comprehensive values and multiple functions in improving people's health, promoting people's all-round development, promoting economic and social development and demonstrating the country's cultural soft power. Taking the topic of national fitness as an example, this paper sets out from the three dimensions of knowledge input, knowledge output and knowledge production, using citation analysis, social network analysis, co-word analysis and cluster analysis, to measure the characteristics and knowledge structure of interdisciplinary knowledge exchange. China's national fitness is still in the primary development stage, and the strong boost of the national top-level policy is the biggest driving force of its development, driven by the policy together with the settlement of many major events, constantly improving and enriching the wings. The main body of knowledge production on the topic of national fitness is mainly colleges and universities, with low participation of government and enterprises, high degree of cooperation among authors, obvious interdisciplinary characteristics and strong application of research themes. This study provides a strong theoretical basis for the promotion of the Healthy China strategy. Especially under the influence of COVID-19, this paper can contribute to the comprehensive value and multimodal functions of national fitness in improving the health of people, promoting economic and social development and demonstrating the soft power of national culture.Analysis of interdisciplinary characteristics and knowledge structure from multidimensional perspective: a case study of national fitness topic in China
Xin Feng, Yuehao Liu, Xu Wang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The sudden COVID-19 epidemic in 2019 has frustrated China's overall economy, and the implementation and development of the National Fitness Program has encountered huge obstacles. At a new historical starting point, in order to realize the dream of becoming a powerful country in sports, it is necessary to transform the successful experience gained since the reform and opening up into regular understanding and systematic theories, so as to make a theoretical response to the new contradictions and challenges faced in development and give full play to the National Fitness has comprehensive values and multiple functions in improving people's health, promoting people's all-round development, promoting economic and social development and demonstrating the country's cultural soft power.

Taking the topic of national fitness as an example, this paper sets out from the three dimensions of knowledge input, knowledge output and knowledge production, using citation analysis, social network analysis, co-word analysis and cluster analysis, to measure the characteristics and knowledge structure of interdisciplinary knowledge exchange.

China's national fitness is still in the primary development stage, and the strong boost of the national top-level policy is the biggest driving force of its development, driven by the policy together with the settlement of many major events, constantly improving and enriching the wings. The main body of knowledge production on the topic of national fitness is mainly colleges and universities, with low participation of government and enterprises, high degree of cooperation among authors, obvious interdisciplinary characteristics and strong application of research themes.

This study provides a strong theoretical basis for the promotion of the Healthy China strategy. Especially under the influence of COVID-19, this paper can contribute to the comprehensive value and multimodal functions of national fitness in improving the health of people, promoting economic and social development and demonstrating the soft power of national culture.

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Analysis of interdisciplinary characteristics and knowledge structure from multidimensional perspective: a case study of national fitness topic in China10.1108/LHT-06-2021-0189Library Hi Tech2022-03-03© 2022 Emerald Publishing LimitedXin FengYuehao LiuXu WangLibrary Hi Techahead-of-printahead-of-print2022-03-0310.1108/LHT-06-2021-0189https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2021-0189/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Analyzing the role of ICT in bridging the digital divide: a transitional analytical framework for ICT access to impacthttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2021-0194/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn light of the shift in focus from information communication technology (ICT) access (access divide) and skills (skills divide) to the tangible impacts of ICT use (impact divide), a growing number of scholars have called for further investigation into the inter-territorial and multi-dimensional aspects of the digital divide in China. This study aims to address these gaps by examining the disparities across 31 provinces, particularly emphasizing the transition from the traditional access and skills divides to the impact divide. Multivariate regression analysis extensively investigates the transition from the access and skills divides to the impact divide across 31 provinces. Additionally, ArcGIS software is used to analyze spatial agglomeration and the auto-correlation (Moran-i) and predict mapping patterns in the data corresponding to all three levels of the digital divide. According to the study's findings, poverty is a significant factor in the digital divide between different regions in China. The research shows that provinces with advanced administrative systems, such as Guangdong, Shanghai, Beijing, Jiangsu, Shandon and Zhejiang, have high scores on the digital development index (DDI). However, regions with poverty-ridden and rural areas, primarily located in southwest, central and western China, tend to have lower DDI scores. This study offers a novel contribution to the literature by presenting an innovative conceptual framework that explores the impact divide within China's provinces. The authors also address this lacuna in the literature by developing and testing two dimensions to examine the relationships statistically under a wide range of socioeconomic and ICT indicators.Analyzing the role of ICT in bridging the digital divide: a transitional analytical framework for ICT access to impact
Hadi Hussain, Jun Wen, Renai Jiang, Junaid Waheed, Waheed Ali, Nadeem Akhtar Khan
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

In light of the shift in focus from information communication technology (ICT) access (access divide) and skills (skills divide) to the tangible impacts of ICT use (impact divide), a growing number of scholars have called for further investigation into the inter-territorial and multi-dimensional aspects of the digital divide in China. This study aims to address these gaps by examining the disparities across 31 provinces, particularly emphasizing the transition from the traditional access and skills divides to the impact divide.

Multivariate regression analysis extensively investigates the transition from the access and skills divides to the impact divide across 31 provinces. Additionally, ArcGIS software is used to analyze spatial agglomeration and the auto-correlation (Moran-i) and predict mapping patterns in the data corresponding to all three levels of the digital divide.

According to the study's findings, poverty is a significant factor in the digital divide between different regions in China. The research shows that provinces with advanced administrative systems, such as Guangdong, Shanghai, Beijing, Jiangsu, Shandon and Zhejiang, have high scores on the digital development index (DDI). However, regions with poverty-ridden and rural areas, primarily located in southwest, central and western China, tend to have lower DDI scores.

This study offers a novel contribution to the literature by presenting an innovative conceptual framework that explores the impact divide within China's provinces. The authors also address this lacuna in the literature by developing and testing two dimensions to examine the relationships statistically under a wide range of socioeconomic and ICT indicators.

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Analyzing the role of ICT in bridging the digital divide: a transitional analytical framework for ICT access to impact10.1108/LHT-06-2021-0194Library Hi Tech2023-05-24© 2023 Emerald Publishing LimitedHadi HussainJun WenRenai JiangJunaid WaheedWaheed AliNadeem Akhtar KhanLibrary Hi Techahead-of-printahead-of-print2023-05-2410.1108/LHT-06-2021-0194https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2021-0194/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
MSQ: a mobile and social-based Q&A systemhttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2022-0284/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to propose a mobile and social-based question-and-answer (Q&A) system that analyzes users' social relationships and past answering behavior, considers users' interest similarity and answer quality to infer suitable respondents and forwards the questions to users that are willing to give high quality answers. This research applies first-order logic (FOL) inference calculation to generate question/interest ID that combines a users' social information, interests and social network intimacy to choose the nodes that can provide high-quality answers. After receiving a question, a friend can answer it, forward it to their friends according to the number of TTL (Time-to-Live) hops, or send the answer directly to the server. This research collected data from the TripAdvisor.com website and uses it for the experiment. The authors also collected previously answered questions from TripAdvisor.com; thus, subsequent answers could be forwarded to a centralized server to improve the overall performance. The authors have first noticed that even though the proposed system is decentralized, it can still accurately identify the appropriate respondents to provide high-quality answers. In addition, since this system can easily identify the best answerers, there is no need to implement broadcasting, thus reducing the overall execution time and network bandwidth required. Moreover, this system allows users to accurately and quickly obtain high-quality answers after comparing and calculating interest IDs. The system also encourages frequent communication and interaction among users. Lastly, the experiments demonstrate that this system achieves high accuracy, high recall rate, low overhead, low forwarding cost and low response rate in all scenarios. This paper proposes a mobile and social-based Q&A system that applies FOL inference calculation to analyze users' social relationships and past answering behavior, considers users' interest similarity and answer quality to infer suitable respondents and forwards the questions to users that are willing to give high quality answers. The experiments demonstrate that this system achieves high accuracy, high recall rate, low overhead, low forwarding cost and low response rate in all scenarios.MSQ: a mobile and social-based Q&A system
Yung-Ting Chuang, Ching-Hsien Wang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to propose a mobile and social-based question-and-answer (Q&A) system that analyzes users' social relationships and past answering behavior, considers users' interest similarity and answer quality to infer suitable respondents and forwards the questions to users that are willing to give high quality answers.

This research applies first-order logic (FOL) inference calculation to generate question/interest ID that combines a users' social information, interests and social network intimacy to choose the nodes that can provide high-quality answers. After receiving a question, a friend can answer it, forward it to their friends according to the number of TTL (Time-to-Live) hops, or send the answer directly to the server. This research collected data from the TripAdvisor.com website and uses it for the experiment. The authors also collected previously answered questions from TripAdvisor.com; thus, subsequent answers could be forwarded to a centralized server to improve the overall performance.

The authors have first noticed that even though the proposed system is decentralized, it can still accurately identify the appropriate respondents to provide high-quality answers. In addition, since this system can easily identify the best answerers, there is no need to implement broadcasting, thus reducing the overall execution time and network bandwidth required. Moreover, this system allows users to accurately and quickly obtain high-quality answers after comparing and calculating interest IDs. The system also encourages frequent communication and interaction among users. Lastly, the experiments demonstrate that this system achieves high accuracy, high recall rate, low overhead, low forwarding cost and low response rate in all scenarios.

This paper proposes a mobile and social-based Q&A system that applies FOL inference calculation to analyze users' social relationships and past answering behavior, considers users' interest similarity and answer quality to infer suitable respondents and forwards the questions to users that are willing to give high quality answers. The experiments demonstrate that this system achieves high accuracy, high recall rate, low overhead, low forwarding cost and low response rate in all scenarios.

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MSQ: a mobile and social-based Q&A system10.1108/LHT-06-2022-0284Library Hi Tech2022-11-29© 2022 Emerald Publishing LimitedYung-Ting ChuangChing-Hsien WangLibrary Hi Techahead-of-printahead-of-print2022-11-2910.1108/LHT-06-2022-0284https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2022-0284/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Role of citation and non-citation metrics in predicting the educational impact of textbookshttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2022-0297/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe main objective of the present study is to determine the role of citation-based metrics (PageRank and HITS’ authority and hub scores) and non-citation metrics (Goodreads readers, reviews and ratings, textbook edition counts) in predicting educational ranks of textbooks. The rankings of 1869 academic textbooks of various disciplines indexed in Scopus were extracted from the Open Syllabus Project (OSP) and compared with normalized counts of Scopus citations, scores of PageRank, authority and hub (HITS) in Scopus book-to-book citation network, Goodreads ratings and reviews, review sentiment scores and WorldCat book editions. Prediction of the educational rank of scholarly syllabus books ranged from 32% in technology to 68% in philosophy, psychology and religion. WorldCat editions in social sciences, medicine and technology, Goodreads ratings in humanities, and book-citation-network authority scores in law and political science accounted for the strongest predictions of the educational score. Thus, each indicator of editions, Goodreads ratings, and book citation authority score alone can be used to show the rank of the academic textbooks, and if used in combination, they will help explain the educational uptake of books even better. This is the first study examining the role of citation indicators, Goodreads readers, reviews and ratings in predicting the OSP rank of academic books.Role of citation and non-citation metrics in predicting the educational impact of textbooks
Ashraf Maleki, Javad Abbaspour, Abdolrasoul Jowkar, Hajar Sotudeh
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The main objective of the present study is to determine the role of citation-based metrics (PageRank and HITS’ authority and hub scores) and non-citation metrics (Goodreads readers, reviews and ratings, textbook edition counts) in predicting educational ranks of textbooks.

The rankings of 1869 academic textbooks of various disciplines indexed in Scopus were extracted from the Open Syllabus Project (OSP) and compared with normalized counts of Scopus citations, scores of PageRank, authority and hub (HITS) in Scopus book-to-book citation network, Goodreads ratings and reviews, review sentiment scores and WorldCat book editions.

Prediction of the educational rank of scholarly syllabus books ranged from 32% in technology to 68% in philosophy, psychology and religion. WorldCat editions in social sciences, medicine and technology, Goodreads ratings in humanities, and book-citation-network authority scores in law and political science accounted for the strongest predictions of the educational score. Thus, each indicator of editions, Goodreads ratings, and book citation authority score alone can be used to show the rank of the academic textbooks, and if used in combination, they will help explain the educational uptake of books even better.

This is the first study examining the role of citation indicators, Goodreads readers, reviews and ratings in predicting the OSP rank of academic books.

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Role of citation and non-citation metrics in predicting the educational impact of textbooks10.1108/LHT-06-2022-0297Library Hi Tech2023-03-20© 2023 Emerald Publishing LimitedAshraf MalekiJavad AbbaspourAbdolrasoul JowkarHajar SotudehLibrary Hi Techahead-of-printahead-of-print2023-03-2010.1108/LHT-06-2022-0297https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2022-0297/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Predictable by publication: discovery of early highly cited academic papers based on their own featureshttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2022-0305/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestPredicting highly cited papers can enable an evaluation of the potential of papers and the early detection and determination of academic achievement value. However, most highly cited paper prediction studies consider early citation information, so predicting highly cited papers by publication is challenging. Therefore, the authors propose a method for predicting early highly cited papers based on their own features. This research analyzed academic papers published in the Journal of the Association for Computing Machinery (ACM) from 2000 to 2013. Five types of features were extracted: paper features, journal features, author features, reference features and semantic features. Subsequently, the authors applied a deep neural network (DNN), support vector machine (SVM), decision tree (DT) and logistic regression (LGR), and they predicted highly cited papers 1–3 years after publication. Experimental results showed that early highly cited academic papers are predictable when they are first published. The authors’ prediction models showed considerable performance. This study further confirmed that the features of references and authors play an important role in predicting early highly cited papers. In addition, the proportion of high-quality journal references has a more significant impact on prediction. Based on the available information at the time of publication, this study proposed an effective early highly cited paper prediction model. This study facilitates the early discovery and realization of the value of scientific and technological achievements.Predictable by publication: discovery of early highly cited academic papers based on their own features
Xiaobo Tang, Heshen Zhou, Shixuan Li
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Predicting highly cited papers can enable an evaluation of the potential of papers and the early detection and determination of academic achievement value. However, most highly cited paper prediction studies consider early citation information, so predicting highly cited papers by publication is challenging. Therefore, the authors propose a method for predicting early highly cited papers based on their own features.

This research analyzed academic papers published in the Journal of the Association for Computing Machinery (ACM) from 2000 to 2013. Five types of features were extracted: paper features, journal features, author features, reference features and semantic features. Subsequently, the authors applied a deep neural network (DNN), support vector machine (SVM), decision tree (DT) and logistic regression (LGR), and they predicted highly cited papers 1–3 years after publication.

Experimental results showed that early highly cited academic papers are predictable when they are first published. The authors’ prediction models showed considerable performance. This study further confirmed that the features of references and authors play an important role in predicting early highly cited papers. In addition, the proportion of high-quality journal references has a more significant impact on prediction.

Based on the available information at the time of publication, this study proposed an effective early highly cited paper prediction model. This study facilitates the early discovery and realization of the value of scientific and technological achievements.

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Predictable by publication: discovery of early highly cited academic papers based on their own features10.1108/LHT-06-2022-0305Library Hi Tech2023-02-06© 2023 Emerald Publishing LimitedXiaobo TangHeshen ZhouShixuan LiLibrary Hi Techahead-of-printahead-of-print2023-02-0610.1108/LHT-06-2022-0305https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2022-0305/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A comparison study on innovation and entrepreneurship education in and out of China from a bibliometric perspectivehttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2022-0313/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an important issue for the further development of higher education, thus leading to extensive and in-depth research by many scholars. The study summarizes the characteristics and patterns of dual-innovation education at different stages of development, hoping to provide a systematic model for the development of dual-innovation education in China and make up for the shortcomings. This paper uses Citespace software to visualize and analyze the relevant literature in CNKI and Web of Science databases from a bibliometric perspective, focusing on quantitative analysis in terms of article trends, topic clustering, keyword co-linear networks and topic time evolution, etc., to summarize and sort out the development of innovation and entrepreneurship education research at home and abroad. The study found that the external characteristics of the literature published in the field of bi-innovation education in China and abroad are slightly different, mainly in that foreign publishers are more closely connected and have formed a more stable ecosystem. In terms of research hotspots, China is still in a critical period of reforming its curriculum and teaching model, and research on the integration of specialization and creative education is in full swing, while foreign countries focus more on the cultivation of students' entrepreneurial awareness and the enhancement of individual effectiveness. In terms of cutting-edge analysis, the main research directions in China are “creative education”, “new engineering”, “integration of industry and education” and “rural revitalization”. Innovation and entrepreneurship education in China is still in its infancy, and most of the studies lack an overall overview and comparison of foreign studies. Based on the econometric analysis of domestic and foreign literature, this paper proposes a path for domestic innovation and entrepreneurship education reform that can make China's future education reform more effective.A comparison study on innovation and entrepreneurship education in and out of China from a bibliometric perspective
Xin Feng, Xu Wang, Mengxia Qi
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

In the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an important issue for the further development of higher education, thus leading to extensive and in-depth research by many scholars. The study summarizes the characteristics and patterns of dual-innovation education at different stages of development, hoping to provide a systematic model for the development of dual-innovation education in China and make up for the shortcomings.

This paper uses Citespace software to visualize and analyze the relevant literature in CNKI and Web of Science databases from a bibliometric perspective, focusing on quantitative analysis in terms of article trends, topic clustering, keyword co-linear networks and topic time evolution, etc., to summarize and sort out the development of innovation and entrepreneurship education research at home and abroad.

The study found that the external characteristics of the literature published in the field of bi-innovation education in China and abroad are slightly different, mainly in that foreign publishers are more closely connected and have formed a more stable ecosystem. In terms of research hotspots, China is still in a critical period of reforming its curriculum and teaching model, and research on the integration of specialization and creative education is in full swing, while foreign countries focus more on the cultivation of students' entrepreneurial awareness and the enhancement of individual effectiveness. In terms of cutting-edge analysis, the main research directions in China are “creative education”, “new engineering”, “integration of industry and education” and “rural revitalization”.

Innovation and entrepreneurship education in China is still in its infancy, and most of the studies lack an overall overview and comparison of foreign studies. Based on the econometric analysis of domestic and foreign literature, this paper proposes a path for domestic innovation and entrepreneurship education reform that can make China's future education reform more effective.

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A comparison study on innovation and entrepreneurship education in and out of China from a bibliometric perspective10.1108/LHT-06-2022-0313Library Hi Tech2023-06-16© 2023 Emerald Publishing LimitedXin FengXu WangMengxia QiLibrary Hi Techahead-of-printahead-of-print2023-06-1610.1108/LHT-06-2022-0313https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2022-0313/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Development of smart academic library services with Internet of Things technology: a qualitative study in Hong Konghttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2023-0219/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study examines academic librarians' perceptions and attitudes toward Internet of Things (IoT) applications in Hong Kong academic libraries and the problems and possible improvements in using IoT technologies to strengthen library services. This qualitative research used video conferencing software for semi-structured, one-on-one interviews. Participants were given introductory material about the IoT and asked to complete an interview. The data were analyzed using inductive theme clustering for this study. The analysis identified three themes: perception about applying IoT technology to the library, problems and improvements in using IoT. Participants were generally optimistic about the potential benefits of IoT for improving library operations and providing personalized services. However, they also expressed concerns about privacy and security, errors and extra efforts for information literacy training. They suggested improvements such as incorporating facial recognition technology, advanced RFID technology and collections identification technology to enhance user experience. Most studies examined users' views rather than librarians' on IoT applications, which few studies cover, especially in East Asia.Development of smart academic library services with Internet of Things technology: a qualitative study in Hong Kong
Hoi Ching Cheung, Yan Yin Marco Lo, Dickson K.W. Chiu, Elaine W.S. Kong
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study examines academic librarians' perceptions and attitudes toward Internet of Things (IoT) applications in Hong Kong academic libraries and the problems and possible improvements in using IoT technologies to strengthen library services.

This qualitative research used video conferencing software for semi-structured, one-on-one interviews. Participants were given introductory material about the IoT and asked to complete an interview. The data were analyzed using inductive theme clustering for this study.

The analysis identified three themes: perception about applying IoT technology to the library, problems and improvements in using IoT. Participants were generally optimistic about the potential benefits of IoT for improving library operations and providing personalized services. However, they also expressed concerns about privacy and security, errors and extra efforts for information literacy training. They suggested improvements such as incorporating facial recognition technology, advanced RFID technology and collections identification technology to enhance user experience.

Most studies examined users' views rather than librarians' on IoT applications, which few studies cover, especially in East Asia.

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Development of smart academic library services with Internet of Things technology: a qualitative study in Hong Kong10.1108/LHT-06-2023-0219Library Hi Tech2023-11-06© 2023 Emerald Publishing LimitedHoi Ching CheungYan Yin Marco LoDickson K.W. ChiuElaine W.S. KongLibrary Hi Techahead-of-printahead-of-print2023-11-0610.1108/LHT-06-2023-0219https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2023-0219/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Craft representation network and innovative heritage: the Forbidden City’s cultural and creative products in a complex perspectivehttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2023-0228/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the development of science and technology, more creators are trying to use new crafts to represent the cultural trends of the social media era, which makes cultural heritage innovative and new genres emerge. This compels the academic community to examine craft from a new perspective. It is very helpful to understand the hidden representational structure of craft more deeply and improve the craft innovation system of cultural and creative products that we deconstruct the craft based on Complex Network and discover its intrinsic connections. The research crawled and cleaned the craft information of the top 20% products on the Forbidden City’s cultural and creative products online and then performed Complex Network modeling, constructed three craft representation networks among function, material and technique, quantified and analyzed the inner connections and network structure of the craft elements, and then analyzed the cultural inheritance and innovation embedded in the craft representation networks. The three dichotomous craft representation networks constructed by combining function, material and technique: (1) the network density is low and none of them has small-world characteristics, indicating that the innovative heritage of the craft elements in the Forbidden City’s cultural and creative products is at the stage of continuous exploration and development, and multiple coupling innovation is still insufficient; (2) all have scale-free characteristics and there is still a certain degree of community structure within each network, indicating that the coupling innovation of craft elements of the Forbidden City’s cultural and creative products is seriously uneven, with some specific “grammatical combinations” and an Island Effect in the network structure; (3) the craft elements with high network centrality emphasize the characteristics of decorative culture and design for the masses, as well as the pursuit of production efficiency and economic benefits, which represent the aesthetic purport of contemporary Chinese society and the ideological trend of production and life. The Forbidden City’s cultural and creative products should continue to develop and enrich the multi-coupling innovation of craft elements, clarify and continue their own brand unique craft genes, and make full use of the network important nodes role.Craft representation network and innovative heritage: the Forbidden City’s cultural and creative products in a complex perspective
Xin Feng, Lei Yu, Weilong Tu, Guoqiang Chen
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the development of science and technology, more creators are trying to use new crafts to represent the cultural trends of the social media era, which makes cultural heritage innovative and new genres emerge. This compels the academic community to examine craft from a new perspective. It is very helpful to understand the hidden representational structure of craft more deeply and improve the craft innovation system of cultural and creative products that we deconstruct the craft based on Complex Network and discover its intrinsic connections.

The research crawled and cleaned the craft information of the top 20% products on the Forbidden City’s cultural and creative products online and then performed Complex Network modeling, constructed three craft representation networks among function, material and technique, quantified and analyzed the inner connections and network structure of the craft elements, and then analyzed the cultural inheritance and innovation embedded in the craft representation networks.

The three dichotomous craft representation networks constructed by combining function, material and technique: (1) the network density is low and none of them has small-world characteristics, indicating that the innovative heritage of the craft elements in the Forbidden City’s cultural and creative products is at the stage of continuous exploration and development, and multiple coupling innovation is still insufficient; (2) all have scale-free characteristics and there is still a certain degree of community structure within each network, indicating that the coupling innovation of craft elements of the Forbidden City’s cultural and creative products is seriously uneven, with some specific “grammatical combinations” and an Island Effect in the network structure; (3) the craft elements with high network centrality emphasize the characteristics of decorative culture and design for the masses, as well as the pursuit of production efficiency and economic benefits, which represent the aesthetic purport of contemporary Chinese society and the ideological trend of production and life.

The Forbidden City’s cultural and creative products should continue to develop and enrich the multi-coupling innovation of craft elements, clarify and continue their own brand unique craft genes, and make full use of the network important nodes role.

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Craft representation network and innovative heritage: the Forbidden City’s cultural and creative products in a complex perspective10.1108/LHT-06-2023-0228Library Hi Tech2024-02-21© 2024 Emerald Publishing LimitedXin FengLei YuWeilong TuGuoqiang ChenLibrary Hi Techahead-of-printahead-of-print2024-02-2110.1108/LHT-06-2023-0228https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2023-0228/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Digital reading: a bibliometric and visualization analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2023-0240/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study holistically and systematically consolidates the available research on digital reading to reveal the research trends of the past 20 years. Moreover, it explores the thematic evolution, hotspots and developmental characteristics of digital reading. This study, therefore, has the potential to serve as a research guide to researchers and educators in relevant fields. The authors applied a bibliometric approach using Derwent Data Analyzer and VOSviewer to retrieve 2,456 publications for 2003–2022 from the Web of Science (WoS) database. The results revealed that most studies' participants were university students and the experimental methods and questionnaires were preferred in digital reading researches. Among the influential countries or regions, institutions, journals and authors, the United States of America, University of London, Electronic Library and Chen, respectively, accounted for the greatest number of publications. Moreover, the authors identified the developmental characteristics and research trends in the field of digital reading by analyzing the evolution of keywords from 2003–2017 to 2018–2022 and the most frequently cited papers by year. “E-books,” “reading comprehension” and “literacy” were the primary research topics. In addition, “attention,” “motivation,” “cognitive load,” “dyslexia,” “engagement,” “eye-tracking,” “eye movement,” “systematic analysis,” “meta-analysis,” “smartphone” and “mobile reading/learning” were potential new research hotspots. This study provides valuable insights into the current status, research direction, thematic evolution and developmental characteristics in the field of digital reading. Therefore, it has implications for publishers, researchers, librarians, educators and teachers in the digital reading field.Digital reading: a bibliometric and visualization analysis
Wenyan Yu, Yiping Jiang, Tingting Fu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study holistically and systematically consolidates the available research on digital reading to reveal the research trends of the past 20 years. Moreover, it explores the thematic evolution, hotspots and developmental characteristics of digital reading. This study, therefore, has the potential to serve as a research guide to researchers and educators in relevant fields.

The authors applied a bibliometric approach using Derwent Data Analyzer and VOSviewer to retrieve 2,456 publications for 2003–2022 from the Web of Science (WoS) database.

The results revealed that most studies' participants were university students and the experimental methods and questionnaires were preferred in digital reading researches. Among the influential countries or regions, institutions, journals and authors, the United States of America, University of London, Electronic Library and Chen, respectively, accounted for the greatest number of publications. Moreover, the authors identified the developmental characteristics and research trends in the field of digital reading by analyzing the evolution of keywords from 2003–2017 to 2018–2022 and the most frequently cited papers by year. “E-books,” “reading comprehension” and “literacy” were the primary research topics. In addition, “attention,” “motivation,” “cognitive load,” “dyslexia,” “engagement,” “eye-tracking,” “eye movement,” “systematic analysis,” “meta-analysis,” “smartphone” and “mobile reading/learning” were potential new research hotspots.

This study provides valuable insights into the current status, research direction, thematic evolution and developmental characteristics in the field of digital reading. Therefore, it has implications for publishers, researchers, librarians, educators and teachers in the digital reading field.

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Digital reading: a bibliometric and visualization analysis10.1108/LHT-06-2023-0240Library Hi Tech2023-12-25© 2023 Emerald Publishing LimitedWenyan YuYiping JiangTingting FuLibrary Hi Techahead-of-printahead-of-print2023-12-2510.1108/LHT-06-2023-0240https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2023-0240/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Perpetrators' perspective on cyberbullying: a qualitative systematic review with bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-06-2023-0265/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestCyberbullying has become one of the reasons behind the increase in psychological and medical problems. A need to prevent recurrences of cyberbullying incidents and discourage bullies from further bullying the victims has risen. This problem has attracted the attention of all stakeholders across the globe. Various researchers have developed theories and interventions to detect and stop bullying behavior. Previously, researchers focused on helping victims, but as the times have changed, so has the focus of researchers. This study aims to analyze scientific research articles and review papers to understand the development of the knowledge base on the topic. This study analyzes the performance of literature on cyberbullying perpetration (CBP) using the widely accepted bibliometric analysis techniques: performance analysis and science mapping. The study is based on a dataset extracted from the Web of Science database. Initially, 2,792 articles between 2007 and 2022 were retrieved, which were filtered down to 441. The filter was based on various criteria, but primarily on CBP. VOSViewer and MS Excel were used to analyze the data. In addition, VOSViewer was used to create “bibliometric citations, co-citations, and co-word maps.” The findings include publication and citation quantum and trends, the top 20 active countries, the most significant research articles and leading journals in this domain. Major themes or clusters identified were “Cyberbullying and victim behavior,” bullying behavior, adolescents and intervention, “cyberbullying associations,” and “cyberbullying personality associations.” The study is unique because it analyses research articles based on cyberbullies, whereas past studies explored only the victims' side. Further, the present study used the Web of Science database, whereas most studies use the Scopus database.Perpetrators' perspective on cyberbullying: a qualitative systematic review with bibliometric analysis
Suhans Bansal, Naval Garg, Jagvinder Singh
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Cyberbullying has become one of the reasons behind the increase in psychological and medical problems. A need to prevent recurrences of cyberbullying incidents and discourage bullies from further bullying the victims has risen. This problem has attracted the attention of all stakeholders across the globe. Various researchers have developed theories and interventions to detect and stop bullying behavior. Previously, researchers focused on helping victims, but as the times have changed, so has the focus of researchers. This study aims to analyze scientific research articles and review papers to understand the development of the knowledge base on the topic.

This study analyzes the performance of literature on cyberbullying perpetration (CBP) using the widely accepted bibliometric analysis techniques: performance analysis and science mapping. The study is based on a dataset extracted from the Web of Science database. Initially, 2,792 articles between 2007 and 2022 were retrieved, which were filtered down to 441. The filter was based on various criteria, but primarily on CBP. VOSViewer and MS Excel were used to analyze the data. In addition, VOSViewer was used to create “bibliometric citations, co-citations, and co-word maps.”

The findings include publication and citation quantum and trends, the top 20 active countries, the most significant research articles and leading journals in this domain. Major themes or clusters identified were “Cyberbullying and victim behavior,” bullying behavior, adolescents and intervention, “cyberbullying associations,” and “cyberbullying personality associations.”

The study is unique because it analyses research articles based on cyberbullies, whereas past studies explored only the victims' side. Further, the present study used the Web of Science database, whereas most studies use the Scopus database.

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Perpetrators' perspective on cyberbullying: a qualitative systematic review with bibliometric analysis10.1108/LHT-06-2023-0265Library Hi Tech2023-10-30© 2023 Emerald Publishing LimitedSuhans BansalNaval GargJagvinder SinghLibrary Hi Techahead-of-printahead-of-print2023-10-3010.1108/LHT-06-2023-0265https://www.emerald.com/insight/content/doi/10.1108/LHT-06-2023-0265/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Analyzing the impact of technology incentives on community digital inclusion using structural equation modelinghttps://www.emerald.com/insight/content/doi/10.1108/LHT-07-2021-0226/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to assess whether technological incentives inspire communities in the process of digital inclusion. The factors analyzed by the authors assess five dimensions: technology incentives, technology utilization, searching skills, social integration, and capabilities. Data were collected from 329 respondents in 14 public libraries and analyzed using structural equation modeling to validate the proposed research model and its relationships with the factors the authors analyzed. The results showed that technological incentives significantly impact on technology utilization, searching skills, social integration, and capabilities to support community digital inclusion in Pakistan. Technological incentives to the community will lead to the improvement of network technology for things like online taxation, banking transactions, social integration, participation in government, and modern health and education benefits. In addition, technological incentives will also enhance information literacy and digital access, helping people improve cognitive skills and critical thinking and also helping to develop skills. This research is based on raw data first collected from various people with different opinions from the Khyber Pakhtunkhwa public libraries. This study was conducted to gain a deeper understanding of the overall situation related to the use of technology in Pakistan and the complications involved.Analyzing the impact of technology incentives on community digital inclusion using structural equation modeling
A.Y.M. Atiquil Islam, Muhammad Rafi, Khurshid Ahmad
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to assess whether technological incentives inspire communities in the process of digital inclusion. The factors analyzed by the authors assess five dimensions: technology incentives, technology utilization, searching skills, social integration, and capabilities.

Data were collected from 329 respondents in 14 public libraries and analyzed using structural equation modeling to validate the proposed research model and its relationships with the factors the authors analyzed.

The results showed that technological incentives significantly impact on technology utilization, searching skills, social integration, and capabilities to support community digital inclusion in Pakistan.

Technological incentives to the community will lead to the improvement of network technology for things like online taxation, banking transactions, social integration, participation in government, and modern health and education benefits. In addition, technological incentives will also enhance information literacy and digital access, helping people improve cognitive skills and critical thinking and also helping to develop skills.

This research is based on raw data first collected from various people with different opinions from the Khyber Pakhtunkhwa public libraries. This study was conducted to gain a deeper understanding of the overall situation related to the use of technology in Pakistan and the complications involved.

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Analyzing the impact of technology incentives on community digital inclusion using structural equation modeling10.1108/LHT-07-2021-0226Library Hi Tech2022-05-17© 2022 Emerald Publishing LimitedA.Y.M. Atiquil IslamMuhammad RafiKhurshid AhmadLibrary Hi Techahead-of-printahead-of-print2022-05-1710.1108/LHT-07-2021-0226https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2021-0226/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Evolution of discussion topics on an online depression self-help grouphttps://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0317/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to explore the evolutionary pattern of discussion topics over time in an online depression self-help community. Using the Latent Dirichlet Allocation (LDA) method, the authors analyzed 17,534 posts and 138,567 comments posted over 8 years on an online depression self-help group in China and identified the major discussion topics. Based on significant changes in the frequency of posts over time, the authors identified five stages of development. Through a comparative analysis of discussion topics in the five stages, the authors identified the changes in the extent and range of topics over time. The authors discuss the influence of socio-cultural factors on depressed individuals' health information behavior. The results illustrate an evolutionary pattern of topics in users' discussion in the online depression self-help group, including five distinct stages with a sequence of topic changes. The discussion topics of the group included self-reflection, daily record, peer diagnosis, companionship support and instrumental support. While some prominent topics were discussed frequently in each stage, some topics were short-lived. While most prior research has ignored topic changes over time, the study takes an evolutionary perspective of online discussion topics among depressed individuals. The authors provide a nuanced account of the progression of topics through five distinct stages, showing that the community experienced a sequence of changes as it developed. Identifying this evolutionary pattern extends the scope of research on depression therapy in China and offers a deeper understanding of the support that individuals with depression seek, receive and provide online.Evolution of discussion topics on an online depression self-help group
Honglei Lia Sun, Pnina Fichman
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to explore the evolutionary pattern of discussion topics over time in an online depression self-help community.

Using the Latent Dirichlet Allocation (LDA) method, the authors analyzed 17,534 posts and 138,567 comments posted over 8 years on an online depression self-help group in China and identified the major discussion topics. Based on significant changes in the frequency of posts over time, the authors identified five stages of development. Through a comparative analysis of discussion topics in the five stages, the authors identified the changes in the extent and range of topics over time. The authors discuss the influence of socio-cultural factors on depressed individuals' health information behavior.

The results illustrate an evolutionary pattern of topics in users' discussion in the online depression self-help group, including five distinct stages with a sequence of topic changes. The discussion topics of the group included self-reflection, daily record, peer diagnosis, companionship support and instrumental support. While some prominent topics were discussed frequently in each stage, some topics were short-lived.

While most prior research has ignored topic changes over time, the study takes an evolutionary perspective of online discussion topics among depressed individuals. The authors provide a nuanced account of the progression of topics through five distinct stages, showing that the community experienced a sequence of changes as it developed. Identifying this evolutionary pattern extends the scope of research on depression therapy in China and offers a deeper understanding of the support that individuals with depression seek, receive and provide online.

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Evolution of discussion topics on an online depression self-help group10.1108/LHT-07-2022-0317Library Hi Tech2023-02-09© 2023 Emerald Publishing LimitedHonglei Lia SunPnina FichmanLibrary Hi Techahead-of-printahead-of-print2023-02-0910.1108/LHT-07-2022-0317https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0317/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Equip public managers with data analytics skills: a proposal for the new generation of MPA/MPP programs with data science trackhttps://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0320/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research uses a multifaceted approach to develop an MPA/MPP curriculum to support a data science track within the existing MPA/MPP programs by identifying the core and elective areas needed. The approach includes (1) identifying a suitable structure for MPA/MPP programs which can allow the program to develop its capacity to train students with the data science and general public administration skills to solve public policy problems and leave explicit space for local experimentation and modification; (2) defining bridging modules and required modules for the MPA/MPP programs; and (3) developing of data science track thought to make suggestions for the inclusion of suitable data science modules into the data science track and benchmarking the data science modules suggested with the best practices developed by other professional bodies. The authors review 46 NASPAA-accredited MPA/MPP programs from 40 (or 22.7%) schools to identify the suitable required modules and some potential data science and analytics courses that MPA/MPP programs currently provide as electives. The proposal includes a three-course (six–nine credits, not counted in the program but as prerequisites) bridging module, a nine-course (27 credits) required module and a five-course (15 credits) data science track/concentration. This work can provide a starting point for the public administration education community to develop graduate programs focusing on data science to cater to the needs of both public managers and society at large.Equip public managers with data analytics skills: a proposal for the new generation of MPA/MPP programs with data science track
Kevin K.W. Ho, Ning Li, Kristina C. Sayama
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research uses a multifaceted approach to develop an MPA/MPP curriculum to support a data science track within the existing MPA/MPP programs by identifying the core and elective areas needed.

The approach includes (1) identifying a suitable structure for MPA/MPP programs which can allow the program to develop its capacity to train students with the data science and general public administration skills to solve public policy problems and leave explicit space for local experimentation and modification; (2) defining bridging modules and required modules for the MPA/MPP programs; and (3) developing of data science track thought to make suggestions for the inclusion of suitable data science modules into the data science track and benchmarking the data science modules suggested with the best practices developed by other professional bodies. The authors review 46 NASPAA-accredited MPA/MPP programs from 40 (or 22.7%) schools to identify the suitable required modules and some potential data science and analytics courses that MPA/MPP programs currently provide as electives.

The proposal includes a three-course (six–nine credits, not counted in the program but as prerequisites) bridging module, a nine-course (27 credits) required module and a five-course (15 credits) data science track/concentration.

This work can provide a starting point for the public administration education community to develop graduate programs focusing on data science to cater to the needs of both public managers and society at large.

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Equip public managers with data analytics skills: a proposal for the new generation of MPA/MPP programs with data science track10.1108/LHT-07-2022-0320Library Hi Tech2023-01-17© 2022 Emerald Publishing LimitedKevin K.W. HoNing LiKristina C. SayamaLibrary Hi Techahead-of-printahead-of-print2023-01-1710.1108/LHT-07-2022-0320https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0320/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
The shift in research trends related to artificial intelligence in library repositories during the coronavirus pandemichttps://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0326/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study sought to analyze the correlation between artificial intelligence (AI) and libraries and examine whether there were any shifts in research trends related to these two topics during the coronavirus pandemic. The study gathered secondary data from the Scopus website using the keywords “AI,” “library” and “repository,” from 1993 to 2022. Data were re-analyzed using the bibliometric software VOSviewer to examine the trending country's keyword relations and appearance and Biblioshiny to study the publication metadata. Index keywords, such as “human,” “deep learning,” “machine learning,” “surveys” and “open-source software,” became popular during 2020, being closely related to digital libraries. Additionally, the annual scientific production of papers increased significantly in 2021. Words related to data mining also had the most significant growth from 2019 to 2022 because of the importance of data mining for library services during the pandemic. This study provides insight for librarians for the implementation of AI to support repositories during the pandemic. Librarians can learn how to maximize the AI-based repository services in academic libraries during the pandemic. Furthermore, academic libraries can create policies for repository services using AI. This study can lead researchers, academicians and practitioners in conducting research on AI in library repositories. As research on AI and digital repositories remains limited, the study identifies themes and highlights the knowledge gap existing in the field.The shift in research trends related to artificial intelligence in library repositories during the coronavirus pandemic
Prasetyo Adi Nugroho, Nove E. Variant Anna, Noraini Ismail
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study sought to analyze the correlation between artificial intelligence (AI) and libraries and examine whether there were any shifts in research trends related to these two topics during the coronavirus pandemic.

The study gathered secondary data from the Scopus website using the keywords “AI,” “library” and “repository,” from 1993 to 2022. Data were re-analyzed using the bibliometric software VOSviewer to examine the trending country's keyword relations and appearance and Biblioshiny to study the publication metadata.

Index keywords, such as “human,” “deep learning,” “machine learning,” “surveys” and “open-source software,” became popular during 2020, being closely related to digital libraries. Additionally, the annual scientific production of papers increased significantly in 2021. Words related to data mining also had the most significant growth from 2019 to 2022 because of the importance of data mining for library services during the pandemic.

This study provides insight for librarians for the implementation of AI to support repositories during the pandemic. Librarians can learn how to maximize the AI-based repository services in academic libraries during the pandemic. Furthermore, academic libraries can create policies for repository services using AI.

This study can lead researchers, academicians and practitioners in conducting research on AI in library repositories.

As research on AI and digital repositories remains limited, the study identifies themes and highlights the knowledge gap existing in the field.

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The shift in research trends related to artificial intelligence in library repositories during the coronavirus pandemic10.1108/LHT-07-2022-0326Library Hi Tech2023-04-17© 2023 Emerald Publishing LimitedPrasetyo Adi NugrohoNove E. Variant AnnaNoraini IsmailLibrary Hi Techahead-of-printahead-of-print2023-04-1710.1108/LHT-07-2022-0326https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0326/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
A study of the impact of interdisciplinary citation on the aging of library and information sciencehttps://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0335/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to explore the citation aging pattern of Library and Information Science (LIS) and further investigate the impact of interdisciplinary citation on the aging of scientific literature. The study examines LIS journal articles published between 2016 and 2020. Articles were retrieved from the Web of Science (WoS) and were organized using Scopus's discipline classification system. Citation aging patterns within LIS are described using literature aging indicators. The study examines the effect of interdisciplinary citations on the literature aging pattern by comparing the half-life of LIS literature and the median age of interdisciplinary citations. The study results show that the citation aging rate of LIS in the last five years has been slow, and the rate of slowing down is decreasing. Interdisciplinary citations are sourced from various disciplines, focusing on computer science, social sciences and business. The proportion of self-citations is declining. The Reference Diversity Index (RDI) increases from 0.690 to 0.724 between 2016 and 2020. Currently, the median age of interdisciplinary citations is higher than the LIS's half-life. It has a diminishing effect on the citation aging rate. But the median age of interdisciplinary citations is decreasing. The interdisciplinary citation may contribute to the literature aging rate in the future. The effect of interdisciplinary citation on literature aging needs to be judged dialectically. This study still has some limitations. Due to the wide variety of citation journals in LIS, there is no database to cover all journals, so it is impossible to match all citation journals with disciplines. Therefore, it is still feasible to analyze interdisciplinary citations based on the two-eight principle for large-scale data. This approach necessarily sacrifices some of the precision of the study. However, the results of this paper can still be helpful for the development of the discipline. In addition, LIS is a discipline with solid cross-cutting properties, and this paper concludes only with this interdisciplinary discipline in mind. It is necessary to test the applicability of the findings to other disciplines. The study explores the impact of interdisciplinary citation on literature aging from a professional communication perspective. The results reveal underlying reasons for the aging of scientific literature. These findings further enrich the study of the effect of interdisciplinary communication.A study of the impact of interdisciplinary citation on the aging of library and information science
Qian Yang, Xukang Shen, Yanhui Song, Shiji Chen
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to explore the citation aging pattern of Library and Information Science (LIS) and further investigate the impact of interdisciplinary citation on the aging of scientific literature.

The study examines LIS journal articles published between 2016 and 2020. Articles were retrieved from the Web of Science (WoS) and were organized using Scopus's discipline classification system. Citation aging patterns within LIS are described using literature aging indicators. The study examines the effect of interdisciplinary citations on the literature aging pattern by comparing the half-life of LIS literature and the median age of interdisciplinary citations.

The study results show that the citation aging rate of LIS in the last five years has been slow, and the rate of slowing down is decreasing. Interdisciplinary citations are sourced from various disciplines, focusing on computer science, social sciences and business. The proportion of self-citations is declining. The Reference Diversity Index (RDI) increases from 0.690 to 0.724 between 2016 and 2020. Currently, the median age of interdisciplinary citations is higher than the LIS's half-life. It has a diminishing effect on the citation aging rate. But the median age of interdisciplinary citations is decreasing. The interdisciplinary citation may contribute to the literature aging rate in the future. The effect of interdisciplinary citation on literature aging needs to be judged dialectically.

This study still has some limitations. Due to the wide variety of citation journals in LIS, there is no database to cover all journals, so it is impossible to match all citation journals with disciplines. Therefore, it is still feasible to analyze interdisciplinary citations based on the two-eight principle for large-scale data. This approach necessarily sacrifices some of the precision of the study. However, the results of this paper can still be helpful for the development of the discipline. In addition, LIS is a discipline with solid cross-cutting properties, and this paper concludes only with this interdisciplinary discipline in mind. It is necessary to test the applicability of the findings to other disciplines.

The study explores the impact of interdisciplinary citation on literature aging from a professional communication perspective. The results reveal underlying reasons for the aging of scientific literature. These findings further enrich the study of the effect of interdisciplinary communication.

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A study of the impact of interdisciplinary citation on the aging of library and information science10.1108/LHT-07-2022-0335Library Hi Tech2023-06-13© 2023 Emerald Publishing LimitedQian YangXukang ShenYanhui SongShiji ChenLibrary Hi Techahead-of-printahead-of-print2023-06-1310.1108/LHT-07-2022-0335https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0335/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
An exploratory study of factors influencing user app abandonment on smartphoneshttps://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0349/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestNot all apps can be favored on a smartphone. Users are bound to abandon some if they lose value. Analyzing the reasons behind this phenomenon can help develop strategies for avoiding app abandonment, which is the focus of this study. This study conducted in-depth open interviews with 47 respondents who had abandoned or deleted mobile apps before and used the qualitative research method grounded theory to analyze the interview content, followed by open coding, axial coding and selective coding. Seven main reasons are summarized after the relationship between every statement and concept is found and constructed, namely functional value, information expectation, emotional value, platform service, user trust, cost, and social influence. Based on these findings, this study provided suggestions for mobile app developers to help them effectively improve the user experience and retain their customers.An exploratory study of factors influencing user app abandonment on smartphones
Shaobo Liang, Ziyi Wei, Lan Zang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Not all apps can be favored on a smartphone. Users are bound to abandon some if they lose value. Analyzing the reasons behind this phenomenon can help develop strategies for avoiding app abandonment, which is the focus of this study.

This study conducted in-depth open interviews with 47 respondents who had abandoned or deleted mobile apps before and used the qualitative research method grounded theory to analyze the interview content, followed by open coding, axial coding and selective coding.

Seven main reasons are summarized after the relationship between every statement and concept is found and constructed, namely functional value, information expectation, emotional value, platform service, user trust, cost, and social influence.

Based on these findings, this study provided suggestions for mobile app developers to help them effectively improve the user experience and retain their customers.

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An exploratory study of factors influencing user app abandonment on smartphones10.1108/LHT-07-2022-0349Library Hi Tech2024-01-15© 2023 Emerald Publishing LimitedShaobo LiangZiyi WeiLan ZangLibrary Hi Techahead-of-printahead-of-print2024-01-1510.1108/LHT-07-2022-0349https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0349/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Exploring gender differences in foreign domestic helpers' mobile information usagehttps://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0350/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the increasing computation and communication speed of mobile devices, their use and roles have been repositioned to act more than a communication tool. Around 0.4 million foreign domestic helpers (FDHs) form an integral part of Hong Kong society and have the highest concentrations of FDHs worldwide, but scant studies focus on their mobile technology usage. This study aims to discuss the aforementioned issue. This research investigated mobile technology usage by 145 FDHs in Hong Kong with a quantitative survey, covering their actual mobile technology usage, perceptions, influences and adoption barriers. Besides communication and connection with friends and family, participants used mobile technology for information seeking, productivity, utility and entertainment. Perception of usefulness was the greatest influence, and they would use any mobile technology once its basic function supports their daily needs. They considered no “very serious barrier,” though data tariff was their biggest concern. Overall, there were some significant differences between genders in the usage of mobile technologies. Scant studies focus on the mobile technology usage of FDHs. The results reveal the usefulness of mobile technologies to FDHs for government policy-making and for employers and employment agencies to better support the FHDs' daily lives.Exploring gender differences in foreign domestic helpers' mobile information usage
Noyenim Mercy Ezeamuzie, Anthony Hae Ryong Rhim, Dickson K.W. Chiu, Mavis Man-Wai Lung
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the increasing computation and communication speed of mobile devices, their use and roles have been repositioned to act more than a communication tool. Around 0.4 million foreign domestic helpers (FDHs) form an integral part of Hong Kong society and have the highest concentrations of FDHs worldwide, but scant studies focus on their mobile technology usage. This study aims to discuss the aforementioned issue.

This research investigated mobile technology usage by 145 FDHs in Hong Kong with a quantitative survey, covering their actual mobile technology usage, perceptions, influences and adoption barriers.

Besides communication and connection with friends and family, participants used mobile technology for information seeking, productivity, utility and entertainment. Perception of usefulness was the greatest influence, and they would use any mobile technology once its basic function supports their daily needs. They considered no “very serious barrier,” though data tariff was their biggest concern. Overall, there were some significant differences between genders in the usage of mobile technologies.

Scant studies focus on the mobile technology usage of FDHs. The results reveal the usefulness of mobile technologies to FDHs for government policy-making and for employers and employment agencies to better support the FHDs' daily lives.

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Exploring gender differences in foreign domestic helpers' mobile information usage10.1108/LHT-07-2022-0350Library Hi Tech2022-10-04© 2022 Emerald Publishing LimitedNoyenim Mercy EzeamuzieAnthony Hae Ryong RhimDickson K.W. ChiuMavis Man-Wai LungLibrary Hi Techahead-of-printahead-of-print2022-10-0410.1108/LHT-07-2022-0350https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2022-0350/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
From traditional to emerging technologies in supporting smart libraries. A bibliometric and thematic approach from 2013 to 2022https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2023-0280/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe evolution from emerging technologies to smart libraries is thoroughly analyzed thematically and bibliometrically in this research study, spanning 2013 through 2022. Finding and analyzing the significant changes, patterns and trends in the subject as they are represented in academic papers is the goal of this research. Using bibliometric methodologies, this study gathered and examined a large corpus of research papers, conference papers and related material from several academic databases. Starting with Artificial Intelligence (AI), the Internet of Things (IoT), Big Data (BD), Augmentation Reality/Virtual Reality and Blockchain Technology (BT), the study discusses the advent of new technologies and their effects on libraries. Using bibliometric analysis, this study looks at the evolution of publications over time, the geographic distribution of research and the most active institutions and writers in the area. A thematic analysis is also carried out to pinpoint the critical areas of study and trends in emerging technologies and smart libraries. Some emerging themes are information retrieval, personalized recommendations, intelligent data analytics, connected library spaces, real-time information access, augmented reality/virtual reality applications in libraries and strategies, digital literacy and inclusivity. This study offers a thorough overview of the research environment by combining bibliometric and thematic analysis, illustrating the development of theories and concepts during the last ten years. The results of this study helps in understanding the trends and future research directions in emerging technologies and smart libraries. This study is an excellent source of information for academics, practitioners and policymakers involved in developing and applying cutting-edge technology in library environments.From traditional to emerging technologies in supporting smart libraries. A bibliometric and thematic approach from 2013 to 2022
Asad Ullah Khan, Zhiqiang Ma, Mingxing Li, Liangze Zhi, Weijun Hu, Xia Yang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The evolution from emerging technologies to smart libraries is thoroughly analyzed thematically and bibliometrically in this research study, spanning 2013 through 2022. Finding and analyzing the significant changes, patterns and trends in the subject as they are represented in academic papers is the goal of this research.

Using bibliometric methodologies, this study gathered and examined a large corpus of research papers, conference papers and related material from several academic databases.

Starting with Artificial Intelligence (AI), the Internet of Things (IoT), Big Data (BD), Augmentation Reality/Virtual Reality and Blockchain Technology (BT), the study discusses the advent of new technologies and their effects on libraries. Using bibliometric analysis, this study looks at the evolution of publications over time, the geographic distribution of research and the most active institutions and writers in the area. A thematic analysis is also carried out to pinpoint the critical areas of study and trends in emerging technologies and smart libraries. Some emerging themes are information retrieval, personalized recommendations, intelligent data analytics, connected library spaces, real-time information access, augmented reality/virtual reality applications in libraries and strategies, digital literacy and inclusivity.

This study offers a thorough overview of the research environment by combining bibliometric and thematic analysis, illustrating the development of theories and concepts during the last ten years. The results of this study helps in understanding the trends and future research directions in emerging technologies and smart libraries. This study is an excellent source of information for academics, practitioners and policymakers involved in developing and applying cutting-edge technology in library environments.

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From traditional to emerging technologies in supporting smart libraries. A bibliometric and thematic approach from 2013 to 202210.1108/LHT-07-2023-0280Library Hi Tech2023-12-26© 2023 Emerald Publishing LimitedAsad Ullah KhanZhiqiang MaMingxing LiLiangze ZhiWeijun HuXia YangLibrary Hi Techahead-of-printahead-of-print2023-12-2610.1108/LHT-07-2023-0280https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2023-0280/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
From hype to reality: the changing landscape of MOOC researchhttps://www.emerald.com/insight/content/doi/10.1108/LHT-07-2023-0320/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper examines the evolution of massive open online courses (MOOCs) literature over the past 15 years and identifies its significant developments. Utilizing main path analysis (MPA) on a dataset of 1,613 articles from the Web of Science (WoS) databases, the authors construct the main pathway in MOOC literature through a citation analysis. Pajek software is used to visualize the 34 influential articles identified in the field. Three phases emerge in MOOC research: connectivism as a learning theory, facilitating education reform and breaking barriers to MOOCs adoption. Multiple-Global MPA highlights sub-themes including self-regulated learning (SRL), motivation, engagement, dropouts, student performance and the impact of COVID-19. First, data limitations from the WoS core collection might not cover all research, but using reputable sources enhances data validity. Second, despite careful algorithm selection to enhance accuracy, there remains a limitation inherent in the nature of citations. Such biased citations may result in findings that do not fully align with scholars' perspectives. The authors' findings contribute to the understanding of MOOCs literature development, enabling educators and researchers to grasp key trends and focus areas in the field. It can inform the design and implementation of MOOCs for more effective educational outcomes. This study presents novel methodologies and important findings for advancing research and practice in MOOCs.From hype to reality: the changing landscape of MOOC research
Wiwit Ratnasari, Tzu-Chuan Chou, Chen-Hao Huang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper examines the evolution of massive open online courses (MOOCs) literature over the past 15 years and identifies its significant developments.

Utilizing main path analysis (MPA) on a dataset of 1,613 articles from the Web of Science (WoS) databases, the authors construct the main pathway in MOOC literature through a citation analysis. Pajek software is used to visualize the 34 influential articles identified in the field.

Three phases emerge in MOOC research: connectivism as a learning theory, facilitating education reform and breaking barriers to MOOCs adoption. Multiple-Global MPA highlights sub-themes including self-regulated learning (SRL), motivation, engagement, dropouts, student performance and the impact of COVID-19.

First, data limitations from the WoS core collection might not cover all research, but using reputable sources enhances data validity. Second, despite careful algorithm selection to enhance accuracy, there remains a limitation inherent in the nature of citations. Such biased citations may result in findings that do not fully align with scholars' perspectives.

The authors' findings contribute to the understanding of MOOCs literature development, enabling educators and researchers to grasp key trends and focus areas in the field. It can inform the design and implementation of MOOCs for more effective educational outcomes.

This study presents novel methodologies and important findings for advancing research and practice in MOOCs.

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From hype to reality: the changing landscape of MOOC research10.1108/LHT-07-2023-0320Library Hi Tech2024-01-18© 2024 Emerald Publishing LimitedWiwit RatnasariTzu-Chuan ChouChen-Hao HuangLibrary Hi Techahead-of-printahead-of-print2024-01-1810.1108/LHT-07-2023-0320https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2023-0320/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
ChatGPT and the AI revolution: a comprehensive investigation of its multidimensional impact and potentialhttps://www.emerald.com/insight/content/doi/10.1108/LHT-07-2023-0322/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe aim of the study is to understand the transformative impact of ChatGPT on artificial intelligence (AI) research, its applications, implications, challenges and potential to shape future AI trends. The study also seeks to assess the relevance and quality of research output through citation and bibliographic coupling analysis. This study employed a comprehensive bibliometric analysis using Biblioshiny and VOSviewer to investigate the research trends, influential entities and leading contributors in the domain of AI, focusing on the ChatGPT model. The analysis revealed a high prevalence of AI-related terms, indicating a significant interest in and engagement with ChatGPT in AI studies and applications. “Nature” and “Thorp H.H.” emerged as the most cited source and author, respectively, while the USA surfaced as the leading contributor in the field. While the findings provide a comprehensive overview of the ChatGPT research landscape, it is important to note that the conclusions drawn are only as current as the data used. The study highlights potential collaboration opportunities and signals areas of research that might benefit from increased focus or diversification. It serves as a valuable resource for researchers, practitioners and policymakers for strategic planning and decision-making in AI research, specifically in relation to ChatGPT. This study is one of the first to provide a comprehensive bibliometric analysis of the ChatGPT research domain, its multidimensional impact and potential. It offers valuable insights for a range of stakeholders in understanding the current landscape and future directions of ChatGPT in AI.ChatGPT and the AI revolution: a comprehensive investigation of its multidimensional impact and potential
Mohd Afjal
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The aim of the study is to understand the transformative impact of ChatGPT on artificial intelligence (AI) research, its applications, implications, challenges and potential to shape future AI trends. The study also seeks to assess the relevance and quality of research output through citation and bibliographic coupling analysis.

This study employed a comprehensive bibliometric analysis using Biblioshiny and VOSviewer to investigate the research trends, influential entities and leading contributors in the domain of AI, focusing on the ChatGPT model.

The analysis revealed a high prevalence of AI-related terms, indicating a significant interest in and engagement with ChatGPT in AI studies and applications. “Nature” and “Thorp H.H.” emerged as the most cited source and author, respectively, while the USA surfaced as the leading contributor in the field.

While the findings provide a comprehensive overview of the ChatGPT research landscape, it is important to note that the conclusions drawn are only as current as the data used.

The study highlights potential collaboration opportunities and signals areas of research that might benefit from increased focus or diversification. It serves as a valuable resource for researchers, practitioners and policymakers for strategic planning and decision-making in AI research, specifically in relation to ChatGPT.

This study is one of the first to provide a comprehensive bibliometric analysis of the ChatGPT research domain, its multidimensional impact and potential. It offers valuable insights for a range of stakeholders in understanding the current landscape and future directions of ChatGPT in AI.

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ChatGPT and the AI revolution: a comprehensive investigation of its multidimensional impact and potential10.1108/LHT-07-2023-0322Library Hi Tech2023-10-13© 2023 Emerald Publishing LimitedMohd AfjalLibrary Hi Techahead-of-printahead-of-print2023-10-1310.1108/LHT-07-2023-0322https://www.emerald.com/insight/content/doi/10.1108/LHT-07-2023-0322/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Personal factors and the role of memory in faculty refinding of stored informationhttps://www.emerald.com/insight/content/doi/10.1108/LHT-08-2021-0268/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study examined the personal information management (PIM) challenges encountered by faculty in six universities in Ghana, their information refinding experiences and the perceived role of memory. The study tested the hypothesis that faculty PIM performance will significantly differ when the differences in the influence of personal factors (age, gender and rank) on their memory are considered. The study was guided by a sample survey design. A questionnaire designed based on themes extracted from earlier interviews was used to collect quantitative data from 235 faculty members from six universities in Ghana. Data analysis was undertaken with a discrete multivariate Generalized Linear Model to investigate how memory intermediates in the relationship between age, gender and rank, and, refinding of stored information. The paper identified two subfunctions of refinding (Refinding 1 and Refinding 2) associated with self-confidence in information re-finding, and, memory (Memory 1 and Memory 2), associated with the use of complimentary frames to locate previously found and stored information. There were no significant multivariate effects for gender as a stand-alone variable. Males who were aged less than 39 could refind stored information irrespective of the memory class. Older faculty aged 40–49 who possess Memory 1 and senior lecturers who possess Memory 2 performed well in refinding information. There was a statistically significant effect of age and memory; and rank and memory. This study was limited to faculty in Ghana, whereas the study itself has implications for demographic differences in PIM. Identifying how memory mediates the role of personal factors in faculty refinding of stored information will be necessary for the efforts to understand and design systems and technologies for enhancing faculty capacity to find/refind stored information. Understanding how human memory can be augmented by technology is a great PIM strategy, but understanding how human memory and personal factors interplay to affect PIM is more important. PIM of faculty has been extensively examined in the literature, and limitations of memory has always been identified as a constraint. Human memory has been augmented with technology, although the outcome has been very minimal. This study shows that in addition to technology augmentation, personal factors interplay with human memory to affect PIM. Discrete multivariate Generalized Linear Model applied in this study is an innovative way of addressing the challenges of assimilating statistical methodologies in psychosocial disciplines.Personal factors and the role of memory in faculty refinding of stored information
Williams Ezinwa Nwagwu, Antonia Bernadette Donkor
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study examined the personal information management (PIM) challenges encountered by faculty in six universities in Ghana, their information refinding experiences and the perceived role of memory. The study tested the hypothesis that faculty PIM performance will significantly differ when the differences in the influence of personal factors (age, gender and rank) on their memory are considered.

The study was guided by a sample survey design. A questionnaire designed based on themes extracted from earlier interviews was used to collect quantitative data from 235 faculty members from six universities in Ghana. Data analysis was undertaken with a discrete multivariate Generalized Linear Model to investigate how memory intermediates in the relationship between age, gender and rank, and, refinding of stored information.

The paper identified two subfunctions of refinding (Refinding 1 and Refinding 2) associated with self-confidence in information re-finding, and, memory (Memory 1 and Memory 2), associated with the use of complimentary frames to locate previously found and stored information. There were no significant multivariate effects for gender as a stand-alone variable. Males who were aged less than 39 could refind stored information irrespective of the memory class. Older faculty aged 40–49 who possess Memory 1 and senior lecturers who possess Memory 2 performed well in refinding information. There was a statistically significant effect of age and memory; and rank and memory.

This study was limited to faculty in Ghana, whereas the study itself has implications for demographic differences in PIM.

Identifying how memory mediates the role of personal factors in faculty refinding of stored information will be necessary for the efforts to understand and design systems and technologies for enhancing faculty capacity to find/refind stored information.

Understanding how human memory can be augmented by technology is a great PIM strategy, but understanding how human memory and personal factors interplay to affect PIM is more important.

PIM of faculty has been extensively examined in the literature, and limitations of memory has always been identified as a constraint. Human memory has been augmented with technology, although the outcome has been very minimal. This study shows that in addition to technology augmentation, personal factors interplay with human memory to affect PIM. Discrete multivariate Generalized Linear Model applied in this study is an innovative way of addressing the challenges of assimilating statistical methodologies in psychosocial disciplines.

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Personal factors and the role of memory in faculty refinding of stored information10.1108/LHT-08-2021-0268Library Hi Tech2022-10-03© 2022 Williams Ezinwa Nwagwu and Antonia Bernadette DonkorWilliams Ezinwa NwagwuAntonia Bernadette DonkorLibrary Hi Techahead-of-printahead-of-print2022-10-0310.1108/LHT-08-2021-0268https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2021-0268/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Williams Ezinwa Nwagwu and Antonia Bernadette Donkorhttp://creativecommons.org/licences/by/4.0/legalcode
Bibliometric analyses and network mapping on the smart library in Web of Science from 2003 to 2021https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0361/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research conducts bibliometric analyses and network mapping on smart libraries worldwide. It examines publication profiles, identifies the most cited publications and preferred sources and considers the cooperation of the authors, organizations and countries worldwide. The research also highlights keyword trends and clusters and finds new developments and emerging trends from the co-cited references network. A total of 264 records with 1,200 citations were extracted from the Web of Science database from 2003 to 2021. The trends in the smart library were analyzed and visualized using BibExcel, VOSviewer, Biblioshiny and CiteSpace. The People’s Republic of China had the most publications (119), the most citations (374), the highest H-index (12) and the highest total link strength (TLS = 25). Wuhan University had the highest H-index (6). Chiu, Dickson K. W. (H-index = 4, TLS = 22) and Lo, Patrick (H-index = 4, TLS = 21) from the University of Hong Kong had the highest H-indices and were the most cooperative authors. Library Hi Tech was the most preferred journal. “Mobile library” was the most frequently used keyword. “Mobile context” was the largest cluster on the research front. This study helps librarians, scientists and funders understand smart library trends. There are several studies and solid background research on smart libraries. However, to the best of the author’s knowledge, this study is the first to conduct bibliometric analyses and network mapping on smart libraries around the globe.Bibliometric analyses and network mapping on the smart library in Web of Science from 2003 to 2021
Dan Wang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research conducts bibliometric analyses and network mapping on smart libraries worldwide. It examines publication profiles, identifies the most cited publications and preferred sources and considers the cooperation of the authors, organizations and countries worldwide. The research also highlights keyword trends and clusters and finds new developments and emerging trends from the co-cited references network.

A total of 264 records with 1,200 citations were extracted from the Web of Science database from 2003 to 2021. The trends in the smart library were analyzed and visualized using BibExcel, VOSviewer, Biblioshiny and CiteSpace.

The People’s Republic of China had the most publications (119), the most citations (374), the highest H-index (12) and the highest total link strength (TLS = 25). Wuhan University had the highest H-index (6). Chiu, Dickson K. W. (H-index = 4, TLS = 22) and Lo, Patrick (H-index = 4, TLS = 21) from the University of Hong Kong had the highest H-indices and were the most cooperative authors. Library Hi Tech was the most preferred journal. “Mobile library” was the most frequently used keyword. “Mobile context” was the largest cluster on the research front.

This study helps librarians, scientists and funders understand smart library trends.

There are several studies and solid background research on smart libraries. However, to the best of the author’s knowledge, this study is the first to conduct bibliometric analyses and network mapping on smart libraries around the globe.

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Bibliometric analyses and network mapping on the smart library in Web of Science from 2003 to 202110.1108/LHT-08-2022-0361Library Hi Tech2023-05-09© 2023 Emerald Publishing LimitedDan WangLibrary Hi Techahead-of-printahead-of-print2023-05-0910.1108/LHT-08-2022-0361https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0361/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Data mining analytics investigation on TikTok users' behaviors: social media app developmenthttps://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0368/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTikTok, a social media application (app), was originally positioned as a short music video community suitable for young users, and the app is user-generated content (UGC) short video of vertical music. Users can make their own creative videos. Following the rhythm of the music, users can shoot various video content, personal talents, life records, performances, dances, plot interpretations, etc. However, what are the profiles and preferences of TikTok users, whereby the social media app is mainly developed by UGC? What is the impact of TikTok on the development of social media? In addition, what is UGC's social media model for user interactions in social networks? The purpose of this paper is to address and study these proposed issues. All questionnaire items are designed as nominal and ordinal scales (not Likert scale). The obtained data from questionnaires are put into the relational database (N = 2,011). This empirical study takes Taiwan TikTok users as the research object, implements data mining analytics to generate user profiles through clustering analysis and further uses association rules’ analysis to analyze social media apps in social network interaction and social apps’ development by proposing two patterns and several meaningful rules. This study finds that social media apps is a valuable practical research topic on online social media development. In addition, besides the TikTok, the authors eagerly await subsequent research to provide more valuable findings of social media apps in both theory and practice. This study presents the research evidences that social media apps such as TikTok will be able to transcend the current development pattern of social media and make good use of the media and technology innovation of apps in social development and social informatics.Data mining analytics investigation on TikTok users' behaviors: social media app development
Shu-hsien Liao, Retno Widowati, Ching-Yu Lee
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

TikTok, a social media application (app), was originally positioned as a short music video community suitable for young users, and the app is user-generated content (UGC) short video of vertical music. Users can make their own creative videos. Following the rhythm of the music, users can shoot various video content, personal talents, life records, performances, dances, plot interpretations, etc. However, what are the profiles and preferences of TikTok users, whereby the social media app is mainly developed by UGC? What is the impact of TikTok on the development of social media? In addition, what is UGC's social media model for user interactions in social networks? The purpose of this paper is to address and study these proposed issues.

All questionnaire items are designed as nominal and ordinal scales (not Likert scale). The obtained data from questionnaires are put into the relational database (N = 2,011). This empirical study takes Taiwan TikTok users as the research object, implements data mining analytics to generate user profiles through clustering analysis and further uses association rules’ analysis to analyze social media apps in social network interaction and social apps’ development by proposing two patterns and several meaningful rules.

This study finds that social media apps is a valuable practical research topic on online social media development. In addition, besides the TikTok, the authors eagerly await subsequent research to provide more valuable findings of social media apps in both theory and practice.

This study presents the research evidences that social media apps such as TikTok will be able to transcend the current development pattern of social media and make good use of the media and technology innovation of apps in social development and social informatics.

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Data mining analytics investigation on TikTok users' behaviors: social media app development10.1108/LHT-08-2022-0368Library Hi Tech2022-10-28© 2022 Emerald Publishing LimitedShu-hsien LiaoRetno WidowatiChing-Yu LeeLibrary Hi Techahead-of-printahead-of-print2022-10-2810.1108/LHT-08-2022-0368https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0368/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Social media aesthetics as part of academic library merchandisinghttps://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0381/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe subject of this paper is the phenomenon of social media aesthetics, which can be perceived as a tool for promoting and building the image of libraries, especially in terms of merchandising. The aim of this paper is to analyse the potential of the dark academia social media trend in the promotion of academic libraries. The article is based on a review of the social networking sites YouTube and Instagram and an analysis of network resources using the Brand24 tool. Resources that are described by Internet users as “dark academia” are popular in social media. Dark academia as an aesthetic concept creates potential for the promotion of academic libraries, especially those that are more traditional in terms of their architecture, décor or how they offer their services. The paper concerns a phenomenon which, although popular socially, has not yet been scientifically analysed in the literature on the subject. Since the topic is new and there is no scientific literature on it, the author had to base the paper on less standard sources of information (e.g. analysis of the content of social media). The article is a review, an introduction, as well as an invitation to further discussion. The author's aim is not to comprehensively cover this topic but only to draw attention to an interesting and rarely discussed issue that has great potential for practical activities. The topic has great potential for the practical improvement of the promotional activities of libraries, especially older, more traditional libraries, to create a strong and positive image on the basis of characteristics often perceived as weaknesses. Social media services are powerful social impact tools. Showing the potential role of social media aesthetics for cultural institutions could serve to make the public more aware of the role of the proper use of social media for promotion and image building. The use of social media aesthetics is very rarely discussed in the subject literature.Social media aesthetics as part of academic library merchandising
Magdalena Wójcik
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The subject of this paper is the phenomenon of social media aesthetics, which can be perceived as a tool for promoting and building the image of libraries, especially in terms of merchandising. The aim of this paper is to analyse the potential of the dark academia social media trend in the promotion of academic libraries.

The article is based on a review of the social networking sites YouTube and Instagram and an analysis of network resources using the Brand24 tool.

Resources that are described by Internet users as “dark academia” are popular in social media. Dark academia as an aesthetic concept creates potential for the promotion of academic libraries, especially those that are more traditional in terms of their architecture, décor or how they offer their services.

The paper concerns a phenomenon which, although popular socially, has not yet been scientifically analysed in the literature on the subject. Since the topic is new and there is no scientific literature on it, the author had to base the paper on less standard sources of information (e.g. analysis of the content of social media). The article is a review, an introduction, as well as an invitation to further discussion. The author's aim is not to comprehensively cover this topic but only to draw attention to an interesting and rarely discussed issue that has great potential for practical activities.

The topic has great potential for the practical improvement of the promotional activities of libraries, especially older, more traditional libraries, to create a strong and positive image on the basis of characteristics often perceived as weaknesses.

Social media services are powerful social impact tools. Showing the potential role of social media aesthetics for cultural institutions could serve to make the public more aware of the role of the proper use of social media for promotion and image building.

The use of social media aesthetics is very rarely discussed in the subject literature.

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Social media aesthetics as part of academic library merchandising10.1108/LHT-08-2022-0381Library Hi Tech2022-12-09© 2022 Magdalena WójcikMagdalena WójcikLibrary Hi Techahead-of-printahead-of-print2022-12-0910.1108/LHT-08-2022-0381https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0381/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Magdalena Wójcikhttp://creativecommons.org/licences/by/4.0/legalcode
Research on hotspots and evolution paths in the field of health information behavior: a comparison study of bibliometrics based on CNKI and WoS datahttps://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0399/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aimed to examine the research hotspots and evolution paths in the field of health information behavior (HIB) in China and abroad, and conduct comparative analysis to better understand its development trajectory globally. A keyword search of the relevant literature included in the China National Knowledge Infrastructure (CNKI) database and Web of Science (WoS) core collection database was conducted, using the visualized analysis tool CiteSpace V for bibliometric analyses. The common research hotspots in China and abroad can be divided into related research on HIB, research on its influencing factors and health information research. Among these, health information-seeking behavior has been the focus of domestic and foreign scholars. From the subdivision perspective, the focus of Chinese and foreign research hotspots differs. In terms of evolutionary path, the initial stage of HIB research in China and abroad revolves around health information and health information-seeking behavior, followed by the influencing factors of HIB; however, the research breakthrough point is the reverse. Then, domestic and foreign research was conducted on different types of HIBs. Regarding the selection of research objects, Chinese and foreign research objects were increasingly diversified. This study also has several limitations. First, the literature sample only selected the literature in the WoS and CNKI databases, and there may be many HIB-related works published in other databases. Therefore, future research should include other databases. Second, in terms of language, this study selected only Chinese and English literature, but in many countries, important research results on certain topics are usually published in native language, and future research should expand the language selection. Third, this study only conducted national and institutional collaboration network analysis, keyword co-occurrence analysis, cluster analysis and timeline chart analysis. The implication of practice can be divided into the following three points. (1) Analyzing the domestic and foreign literature on HIB and identifying highly cooperative institutions and countries in the field of HIB can reveal the research situation of HIB and help researchers establish new research networks in the future. (2) Analyzing the research hotspots and evolutionary paths of HIB at home and abroad is helpful for quickly understanding the development context of this field and grasping the emerging research directions such as HIB of people in close contact with patients, health information exchange behavior, health information avoidance behavior and health information discontinuation behavior, which can help researchers to explore the future research direction in this field, so as to determine the topic and fill the research gap. (3) Combining the analysis of HIB-related research at home and abroad is helpful for professionals to understand the characteristics and rules of HIB of users, consumers and other groups to further optimize and improve health information services. Comparing and summarizing the research status of HIB in China and globally, and presenting the findings visually, will help researchers better grasp the research overview and hotspot changes in this field, as well as provide a follow-up reference.Research on hotspots and evolution paths in the field of health information behavior: a comparison study of bibliometrics based on CNKI and WoS data
Yi Ping Zhu, Yi Zhu, Li Zhen Fan
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aimed to examine the research hotspots and evolution paths in the field of health information behavior (HIB) in China and abroad, and conduct comparative analysis to better understand its development trajectory globally.

A keyword search of the relevant literature included in the China National Knowledge Infrastructure (CNKI) database and Web of Science (WoS) core collection database was conducted, using the visualized analysis tool CiteSpace V for bibliometric analyses.

The common research hotspots in China and abroad can be divided into related research on HIB, research on its influencing factors and health information research. Among these, health information-seeking behavior has been the focus of domestic and foreign scholars. From the subdivision perspective, the focus of Chinese and foreign research hotspots differs. In terms of evolutionary path, the initial stage of HIB research in China and abroad revolves around health information and health information-seeking behavior, followed by the influencing factors of HIB; however, the research breakthrough point is the reverse. Then, domestic and foreign research was conducted on different types of HIBs. Regarding the selection of research objects, Chinese and foreign research objects were increasingly diversified.

This study also has several limitations. First, the literature sample only selected the literature in the WoS and CNKI databases, and there may be many HIB-related works published in other databases. Therefore, future research should include other databases. Second, in terms of language, this study selected only Chinese and English literature, but in many countries, important research results on certain topics are usually published in native language, and future research should expand the language selection. Third, this study only conducted national and institutional collaboration network analysis, keyword co-occurrence analysis, cluster analysis and timeline chart analysis.

The implication of practice can be divided into the following three points. (1) Analyzing the domestic and foreign literature on HIB and identifying highly cooperative institutions and countries in the field of HIB can reveal the research situation of HIB and help researchers establish new research networks in the future. (2) Analyzing the research hotspots and evolutionary paths of HIB at home and abroad is helpful for quickly understanding the development context of this field and grasping the emerging research directions such as HIB of people in close contact with patients, health information exchange behavior, health information avoidance behavior and health information discontinuation behavior, which can help researchers to explore the future research direction in this field, so as to determine the topic and fill the research gap. (3) Combining the analysis of HIB-related research at home and abroad is helpful for professionals to understand the characteristics and rules of HIB of users, consumers and other groups to further optimize and improve health information services.

Comparing and summarizing the research status of HIB in China and globally, and presenting the findings visually, will help researchers better grasp the research overview and hotspot changes in this field, as well as provide a follow-up reference.

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Research on hotspots and evolution paths in the field of health information behavior: a comparison study of bibliometrics based on CNKI and WoS data10.1108/LHT-08-2022-0399Library Hi Tech2022-12-29© 2022 Emerald Publishing LimitedYi Ping ZhuYi ZhuLi Zhen FanLibrary Hi Techahead-of-printahead-of-print2022-12-2910.1108/LHT-08-2022-0399https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0399/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Library book recommendation with CNN-FM deep learning approachhttps://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0400/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTraditional library book recommendation methods are mainly based on association rules and user profiles. They may help to learn about students' interest in different types of books, e.g., students majoring in science and engineering tend to pay more attention to computer books. Nevertheless, most of them still need to identify users' interests accurately. To solve the problem, the authors propose a novel embedding-driven model called InFo, which refers to users' intrinsic interests and academic preferences to provide personalized library book recommendations. The authors analyze the characteristics and challenges in real library book recommendations and then propose a method considering feature interactions. Specifically, the authors leverage the attention unit to extract students' preferences for different categories of books from their borrowing history, after which we feed the unit into the Factorization Machine with other context-aware features to learn students' hybrid interests. The authors employ a convolution neural network to extract high-order correlations among feature maps which are obtained by the outer product between feature embeddings. The authors evaluate the model by conducting experiments on a real-world dataset in one university. The results show that the model outperforms other state-of-the-art methods in terms of two metrics called Recall and NDCG. It requires a specific data size to prevent overfitting during model training, and the proposed method may face the user/item cold-start challenge. The embedding-driven book recommendation model could be applied in real libraries to provide valuable recommendations based on readers' preferences. The proposed method is a practical embedding-driven model that accurately captures diverse user preferences.Library book recommendation with CNN-FM deep learning approach
Xiaohua Shi, Chen Hao, Ding Yue, Hongtao Lu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Traditional library book recommendation methods are mainly based on association rules and user profiles. They may help to learn about students' interest in different types of books, e.g., students majoring in science and engineering tend to pay more attention to computer books. Nevertheless, most of them still need to identify users' interests accurately. To solve the problem, the authors propose a novel embedding-driven model called InFo, which refers to users' intrinsic interests and academic preferences to provide personalized library book recommendations.

The authors analyze the characteristics and challenges in real library book recommendations and then propose a method considering feature interactions. Specifically, the authors leverage the attention unit to extract students' preferences for different categories of books from their borrowing history, after which we feed the unit into the Factorization Machine with other context-aware features to learn students' hybrid interests. The authors employ a convolution neural network to extract high-order correlations among feature maps which are obtained by the outer product between feature embeddings.

The authors evaluate the model by conducting experiments on a real-world dataset in one university. The results show that the model outperforms other state-of-the-art methods in terms of two metrics called Recall and NDCG.

It requires a specific data size to prevent overfitting during model training, and the proposed method may face the user/item cold-start challenge.

The embedding-driven book recommendation model could be applied in real libraries to provide valuable recommendations based on readers' preferences.

The proposed method is a practical embedding-driven model that accurately captures diverse user preferences.

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Library book recommendation with CNN-FM deep learning approach10.1108/LHT-08-2022-0400Library Hi Tech2023-04-28© 2023 Emerald Publishing LimitedXiaohua ShiChen HaoDing YueHongtao LuLibrary Hi Techahead-of-printahead-of-print2023-04-2810.1108/LHT-08-2022-0400https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0400/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Towards corpora creation from social web in Brazilian Portuguese to support public security analyses and decisionshttps://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0401/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article presents two Brazilian Portuguese corpora collected from different media concerning public security issues in a specific location. The primary motivation is supporting analyses, so security authorities can make appropriate decisions about their actions. The corpora were obtained through web scraping from a newspaper's website and tweets from a Brazilian metropolitan region. Natural language processing was applied considering: text cleaning, lemmatization, summarization, part-of-speech and dependencies parsing, named entities recognition, and topic modeling. Several results were obtained based on the methodology used, highlighting some: an example of a summarization using an automated process; dependency parsing; the most common topics in each corpus; the forty named entities and the most common slogans were extracted, highlighting those linked to public security. Some critical tasks were identified for the research perspective, related to the applied methodology: the treatment of noise from obtaining news on their source websites, passing through textual elements quite present in social network posts such as abbreviations, emojis/emoticons, and even writing errors; the treatment of subjectivity, to eliminate noise from irony and sarcasm; the search for authentic news of issues within the target domain. All these tasks aim to improve the process to enable interested authorities to perform accurate analyses. The corpora dedicated to the public security domain enable several analyses, such as mining public opinion on security actions in a given location; understanding criminals' behaviors reported in the news or even on social networks and drawing their attitudes timeline; detecting movements that may cause damage to public property and people welfare through texts from social networks; extracting the history and repercussions of police actions, crossing news with records on social networks; among many other possibilities. The work on behalf of the corpora reported in this text represents one of the first initiatives to create textual bases in Portuguese, dedicated to Brazil's specific public security domain.Towards corpora creation from social web in Brazilian Portuguese to support public security analyses and decisions
Victor Diogho Heuer de Carvalho, Ana Paula Cabral Seixas Costa
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article presents two Brazilian Portuguese corpora collected from different media concerning public security issues in a specific location. The primary motivation is supporting analyses, so security authorities can make appropriate decisions about their actions.

The corpora were obtained through web scraping from a newspaper's website and tweets from a Brazilian metropolitan region. Natural language processing was applied considering: text cleaning, lemmatization, summarization, part-of-speech and dependencies parsing, named entities recognition, and topic modeling.

Several results were obtained based on the methodology used, highlighting some: an example of a summarization using an automated process; dependency parsing; the most common topics in each corpus; the forty named entities and the most common slogans were extracted, highlighting those linked to public security.

Some critical tasks were identified for the research perspective, related to the applied methodology: the treatment of noise from obtaining news on their source websites, passing through textual elements quite present in social network posts such as abbreviations, emojis/emoticons, and even writing errors; the treatment of subjectivity, to eliminate noise from irony and sarcasm; the search for authentic news of issues within the target domain. All these tasks aim to improve the process to enable interested authorities to perform accurate analyses.

The corpora dedicated to the public security domain enable several analyses, such as mining public opinion on security actions in a given location; understanding criminals' behaviors reported in the news or even on social networks and drawing their attitudes timeline; detecting movements that may cause damage to public property and people welfare through texts from social networks; extracting the history and repercussions of police actions, crossing news with records on social networks; among many other possibilities.

The work on behalf of the corpora reported in this text represents one of the first initiatives to create textual bases in Portuguese, dedicated to Brazil's specific public security domain.

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Towards corpora creation from social web in Brazilian Portuguese to support public security analyses and decisions10.1108/LHT-08-2022-0401Library Hi Tech2022-10-25© 2022 Emerald Publishing LimitedVictor Diogho Heuer de CarvalhoAna Paula Cabral Seixas CostaLibrary Hi Techahead-of-printahead-of-print2022-10-2510.1108/LHT-08-2022-0401https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2022-0401/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Applying STEM and extended reality technologies to explore students' artificial intelligence learning performance and behavior for sustainable development goalshttps://www.emerald.com/insight/content/doi/10.1108/LHT-08-2023-0362/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTo support achieving sustainable development goals (SDGs), we integrated science, technology, engineering and math (STEM) and extended reality technologies into an artificial intelligence (AI) learning activity. We developed Feature City to facilitate students' learning of AI concepts. This study aimed to explore students' learning outcomes and behaviors when using Feature City. Junior high school students were the subjects who used Feature City in an AI learning activity. The learning activity consisted of 90-min sessions once per week for five weeks. Before the learning activity, the teacher clarified the learning objectives and administered a pretest. The teacher then instructed the students on the features, supervised learning and unsupervised learning units. After the learning activity, the teacher conducted a posttest. We analyzed the students' prior knowledge and learning performance by evaluating their pretest and posttest results and observing their learning behaviors in the AI learning activity. (1) Students used Feature City to learn AI concepts to improve their learning outcomes. (2) Female students learned more effectively with Feature City than male students. (3) Male students were more likely than female students to complete the learning tasks in Feature City the first time they used it. Within SDGs, this study used STEM and extended reality technologies to develop Feature City to engage students in learning about AI. The study examined how much Feature City improved students' learning outcomes and explored the differences in their learning outcomes and behaviors. The results showed that students' use of Feature City helped to improve their learning outcomes. Female students achieved better learning outcomes than their male counterparts. Male students initially exhibited a behavioral pattern of seeking clarification and error analysis when learning AI education, more so than their female counterparts. The findings can help teachers adjust AI education appropriately to match the tutorial content with students' AI learning needs.Applying STEM and extended reality technologies to explore students' artificial intelligence learning performance and behavior for sustainable development goals
Yu-Sheng Su, Wen-Ling Tseng, Hung-Wei Cheng, Chin-Feng Lai
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

To support achieving sustainable development goals (SDGs), we integrated science, technology, engineering and math (STEM) and extended reality technologies into an artificial intelligence (AI) learning activity. We developed Feature City to facilitate students' learning of AI concepts. This study aimed to explore students' learning outcomes and behaviors when using Feature City.

Junior high school students were the subjects who used Feature City in an AI learning activity. The learning activity consisted of 90-min sessions once per week for five weeks. Before the learning activity, the teacher clarified the learning objectives and administered a pretest. The teacher then instructed the students on the features, supervised learning and unsupervised learning units. After the learning activity, the teacher conducted a posttest. We analyzed the students' prior knowledge and learning performance by evaluating their pretest and posttest results and observing their learning behaviors in the AI learning activity.

(1) Students used Feature City to learn AI concepts to improve their learning outcomes. (2) Female students learned more effectively with Feature City than male students. (3) Male students were more likely than female students to complete the learning tasks in Feature City the first time they used it.

Within SDGs, this study used STEM and extended reality technologies to develop Feature City to engage students in learning about AI. The study examined how much Feature City improved students' learning outcomes and explored the differences in their learning outcomes and behaviors. The results showed that students' use of Feature City helped to improve their learning outcomes. Female students achieved better learning outcomes than their male counterparts. Male students initially exhibited a behavioral pattern of seeking clarification and error analysis when learning AI education, more so than their female counterparts. The findings can help teachers adjust AI education appropriately to match the tutorial content with students' AI learning needs.

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Applying STEM and extended reality technologies to explore students' artificial intelligence learning performance and behavior for sustainable development goals10.1108/LHT-08-2023-0362Library Hi Tech2024-03-22© 2024 Emerald Publishing LimitedYu-Sheng SuWen-Ling TsengHung-Wei ChengChin-Feng LaiLibrary Hi Techahead-of-printahead-of-print2024-03-2210.1108/LHT-08-2023-0362https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2023-0362/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
A study of Yemeni EFL students' perceptions on the role of learning technologies in developing creativity and autonomyhttps://www.emerald.com/insight/content/doi/10.1108/LHT-08-2023-0373/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study probed the impact of using learning technologies (LT) on developing Yemeni English as a foreign language (EFL) students' autonomy and creativity toward English language learning. Also, the research gauged if LT impacts learners' autonomy and creativity across gender and university-type variables. The study utilized a valid and reliable questionnaire, comprising 20 close-ended items, which was administered to 109 Yemeni EFL undergraduate students. The researchers found that LT positively impacts learners' creativity and autonomy, with mean scores of 4.09 and 3.86, respectively. Furthermore, the results showed a medium correlation between creativity and autonomy with a correlation coefficient of r = 0.63 at a probability of Sig = 0.00. Likewise, the results revealed that LT impacted female learners' creativity more significantly than their male counterparts (Sig = 0.047). Nevertheless, no significant differences were found pertaining to the impact of LT on students' autonomy across public and private universities (Sig = 0.213). EFL teachers are advised to encourage their students' autonomy and creativity throughout their lifelong learning journey in order to adapt to the ever-changing demands of the world. This study investigates the impact of learning technology on Yemeni EFL students' autonomy and creativity.A study of Yemeni EFL students' perceptions on the role of learning technologies in developing creativity and autonomy
Wagdi Rashad Ali Bin-Hady, Jamal Kaid Mohammed Ali
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study probed the impact of using learning technologies (LT) on developing Yemeni English as a foreign language (EFL) students' autonomy and creativity toward English language learning. Also, the research gauged if LT impacts learners' autonomy and creativity across gender and university-type variables.

The study utilized a valid and reliable questionnaire, comprising 20 close-ended items, which was administered to 109 Yemeni EFL undergraduate students.

The researchers found that LT positively impacts learners' creativity and autonomy, with mean scores of 4.09 and 3.86, respectively. Furthermore, the results showed a medium correlation between creativity and autonomy with a correlation coefficient of r = 0.63 at a probability of Sig = 0.00. Likewise, the results revealed that LT impacted female learners' creativity more significantly than their male counterparts (Sig = 0.047). Nevertheless, no significant differences were found pertaining to the impact of LT on students' autonomy across public and private universities (Sig = 0.213).

EFL teachers are advised to encourage their students' autonomy and creativity throughout their lifelong learning journey in order to adapt to the ever-changing demands of the world.

This study investigates the impact of learning technology on Yemeni EFL students' autonomy and creativity.

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A study of Yemeni EFL students' perceptions on the role of learning technologies in developing creativity and autonomy10.1108/LHT-08-2023-0373Library Hi Tech2024-02-27© 2024 Emerald Publishing LimitedWagdi Rashad Ali Bin-HadyJamal Kaid Mohammed AliLibrary Hi Techahead-of-printahead-of-print2024-02-2710.1108/LHT-08-2023-0373https://www.emerald.com/insight/content/doi/10.1108/LHT-08-2023-0373/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Research on the relationships between discourse leading indicators and citations: perspectives from altmetrics indicators of international multidisciplinary academic journalshttps://www.emerald.com/insight/content/doi/10.1108/LHT-09-2021-0296/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to analyze the relationships between discourse leading indicators and citations from perspectives of integrating altmetrics indicators and tries to provide references for comprehending the quantitative indicators of scientific communication in the era of open science, constructing the evaluation indicator system of the discourse leading for academic journals and then improving the discourse leading of academic journals. Based on the theory of communication and the new pattern of scientific communication, this paper explores the formation process of academic journals' discourse leading. This paper obtains 874,119 citations and 6,378,843 altmetrics indicators data from 65 international multidisciplinary academic journals. The relationships between indicators of discourse leading (altmetrics) and citations are studied by using descriptive statistical analysis, correlation analysis, principal component analysis, negative binomial regression analysis and marginal effects analysis. Meanwhile, the connotation and essential characteristics of the indicators, the strength and influence of the relationships are further analyzed and explored. It is proposed that academic journals' discourse leading is composed of news discourse leading, social media discourse leading, peer review discourse leading, encyclopedic discourse leading, video discourse leading and policy discourse leading. It is discovered that the 15 altmetrics indicators data have a low degree of centralization to the center and a high degree of polarization dispersion overall; their distribution patterns do not follow the normal distributions, and their distributions have the characteristics of long-tailed right-peaked curves. Overall, 15 indicators show positive correlations and wide gaps exist in the number of mentions and coverage. The academic journals' discourse leading significantly affects total cites. When altmetrics indicators of international mainstream academic and social media platforms are used to explore the connotation and characteristics of academic journals' discourse leading, the influence or contribution of social media discourse, news discourse, video discourse, policy discourse, peer review discourse and encyclopedia discourse on the citations decreases in turn. This study is innovative from the academic journal level to analyze the deep relationships between altmetrics indicators and citations from the perspective of correlation. First, this paper explores the formation process of academic journals' discourse leading. Second, this paper integrates altmetrics indicators to study the correlation between discourse leading indicators and citations. This study will help to enrich and improve basic theoretical issues and indicators’ composition, provide theoretical support for the construction of the discourse leading evaluation system for academic journals and provide ideas for the evaluation practice activities.Research on the relationships between discourse leading indicators and citations: perspectives from altmetrics indicators of international multidisciplinary academic journals
Xu Wang, Xin Feng
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to analyze the relationships between discourse leading indicators and citations from perspectives of integrating altmetrics indicators and tries to provide references for comprehending the quantitative indicators of scientific communication in the era of open science, constructing the evaluation indicator system of the discourse leading for academic journals and then improving the discourse leading of academic journals.

Based on the theory of communication and the new pattern of scientific communication, this paper explores the formation process of academic journals' discourse leading. This paper obtains 874,119 citations and 6,378,843 altmetrics indicators data from 65 international multidisciplinary academic journals. The relationships between indicators of discourse leading (altmetrics) and citations are studied by using descriptive statistical analysis, correlation analysis, principal component analysis, negative binomial regression analysis and marginal effects analysis. Meanwhile, the connotation and essential characteristics of the indicators, the strength and influence of the relationships are further analyzed and explored. It is proposed that academic journals' discourse leading is composed of news discourse leading, social media discourse leading, peer review discourse leading, encyclopedic discourse leading, video discourse leading and policy discourse leading.

It is discovered that the 15 altmetrics indicators data have a low degree of centralization to the center and a high degree of polarization dispersion overall; their distribution patterns do not follow the normal distributions, and their distributions have the characteristics of long-tailed right-peaked curves. Overall, 15 indicators show positive correlations and wide gaps exist in the number of mentions and coverage. The academic journals' discourse leading significantly affects total cites. When altmetrics indicators of international mainstream academic and social media platforms are used to explore the connotation and characteristics of academic journals' discourse leading, the influence or contribution of social media discourse, news discourse, video discourse, policy discourse, peer review discourse and encyclopedia discourse on the citations decreases in turn.

This study is innovative from the academic journal level to analyze the deep relationships between altmetrics indicators and citations from the perspective of correlation. First, this paper explores the formation process of academic journals' discourse leading. Second, this paper integrates altmetrics indicators to study the correlation between discourse leading indicators and citations. This study will help to enrich and improve basic theoretical issues and indicators’ composition, provide theoretical support for the construction of the discourse leading evaluation system for academic journals and provide ideas for the evaluation practice activities.

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Research on the relationships between discourse leading indicators and citations: perspectives from altmetrics indicators of international multidisciplinary academic journals10.1108/LHT-09-2021-0296Library Hi Tech2022-12-29© 2022 Emerald Publishing LimitedXu WangXin FengLibrary Hi Techahead-of-printahead-of-print2022-12-2910.1108/LHT-09-2021-0296https://www.emerald.com/insight/content/doi/10.1108/LHT-09-2021-0296/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Digital media recording and broadcasting classroom using Internet intelligent image positioning and opinion monitoring in communicationhttps://www.emerald.com/insight/content/doi/10.1108/LHT-09-2021-0315/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe digital media recording and broadcasting classroom using Internet real-time intelligent image positioning and opinion monitoring in communication teaching is researched and analyzed. First, spatial grid positioning and monitoring and image intelligent recognition technologies were used to extract and analyze teaching images by mastering Internet of Things (IoT) technology and establishing an intelligent image positioning and opinion monitoring digital media recording and broadcasting system framework. Next, a positioning node algorithm was utilized to measure the image distance, and then a moving node location model under the IoT was established. In addition, a radial basis function (RBF) neural network was used to realize the signal transmission function. The experimental data of the adopted RBF based on the optimization of the adaptive cuckoo search (ACS-RBF) neural network, particle swarm algorithm neural network, and method of least squares optimization were compared and analyzed. In addition, a more efficient RBF neural network was adopted. Finally, the digital media recording and broadcasting classroom scheme of real-time intelligent image positioning and opinion monitoring was designed. In addition, the application environment of digital media actual teacher teaching was detected, and recording and broadcasting pictures were analyzed and researched. The actual value, predicted value, and the number of predicted samples of the ACS-RBF model were all better than those of the two other neural networks. According to the analysis and comparison of the sampling optimization Monte Carlo localization (SOMCL), Monte Carlo, and genetic algorithm optimization-based Monte Carlo positioning algorithms, the SOMCL algorithm showed better robustness, and its positioning efficiency was superior to that of the two other algorithms. In addition, the SOMCL algorithm greatly reduced the positioning and monitoring energy consumption. The application of real-time intelligent image positioning and monitoring technology in actual communication teaching was realized in the study.Digital media recording and broadcasting classroom using Internet intelligent image positioning and opinion monitoring in communication
Huanchao Wu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The digital media recording and broadcasting classroom using Internet real-time intelligent image positioning and opinion monitoring in communication teaching is researched and analyzed.

First, spatial grid positioning and monitoring and image intelligent recognition technologies were used to extract and analyze teaching images by mastering Internet of Things (IoT) technology and establishing an intelligent image positioning and opinion monitoring digital media recording and broadcasting system framework. Next, a positioning node algorithm was utilized to measure the image distance, and then a moving node location model under the IoT was established. In addition, a radial basis function (RBF) neural network was used to realize the signal transmission function. The experimental data of the adopted RBF based on the optimization of the adaptive cuckoo search (ACS-RBF) neural network, particle swarm algorithm neural network, and method of least squares optimization were compared and analyzed. In addition, a more efficient RBF neural network was adopted. Finally, the digital media recording and broadcasting classroom scheme of real-time intelligent image positioning and opinion monitoring was designed. In addition, the application environment of digital media actual teacher teaching was detected, and recording and broadcasting pictures were analyzed and researched.

The actual value, predicted value, and the number of predicted samples of the ACS-RBF model were all better than those of the two other neural networks. According to the analysis and comparison of the sampling optimization Monte Carlo localization (SOMCL), Monte Carlo, and genetic algorithm optimization-based Monte Carlo positioning algorithms, the SOMCL algorithm showed better robustness, and its positioning efficiency was superior to that of the two other algorithms. In addition, the SOMCL algorithm greatly reduced the positioning and monitoring energy consumption.

The application of real-time intelligent image positioning and monitoring technology in actual communication teaching was realized in the study.

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Digital media recording and broadcasting classroom using Internet intelligent image positioning and opinion monitoring in communication10.1108/LHT-09-2021-0315Library Hi Tech2022-09-07© 2022 Emerald Publishing LimitedHuanchao WuLibrary Hi Techahead-of-printahead-of-print2022-09-0710.1108/LHT-09-2021-0315https://www.emerald.com/insight/content/doi/10.1108/LHT-09-2021-0315/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
The short video usage motivation and behavior of middle-aged and old usershttps://www.emerald.com/insight/content/doi/10.1108/LHT-09-2021-0318/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe main research problem is the relationship between the use motivation (UM) and use behavior (UB) of middle-aged and old short videos users and the difference of the influence of the use motivation of middle-aged and old users, a special group, on the usage behavior is analyzed. By means of a questionnaire survey and in-depth interview, the middle-aged and old-aged users' short video use motivation and behavior and their influence relationship are discussed. It is found that information appeal is the main motivation of middle-aged and old-aged users to use short videos and users with different social attributes have differences in motivation and there is a significant relationship between motivation and behavior. The research objective is middle-aged and elderly short video users. And how to promote the transformation of middle-aged and old-aged users' use mentality and record and create their unique bright spots in the big stage of short videos with a more active and independent attitude, is of unique significance not only to the users themselves but also to the media content of this era and the users' existence in the technological change.The short video usage motivation and behavior of middle-aged and old users
Xiaofeng Yu, Yiqing Zhang, Xiaoxue Zhang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The main research problem is the relationship between the use motivation (UM) and use behavior (UB) of middle-aged and old short videos users and the difference of the influence of the use motivation of middle-aged and old users, a special group, on the usage behavior is analyzed.

By means of a questionnaire survey and in-depth interview, the middle-aged and old-aged users' short video use motivation and behavior and their influence relationship are discussed.

It is found that information appeal is the main motivation of middle-aged and old-aged users to use short videos and users with different social attributes have differences in motivation and there is a significant relationship between motivation and behavior.

The research objective is middle-aged and elderly short video users. And how to promote the transformation of middle-aged and old-aged users' use mentality and record and create their unique bright spots in the big stage of short videos with a more active and independent attitude, is of unique significance not only to the users themselves but also to the media content of this era and the users' existence in the technological change.

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The short video usage motivation and behavior of middle-aged and old users10.1108/LHT-09-2021-0318Library Hi Tech2022-06-17© 2022 Emerald Publishing LimitedXiaofeng YuYiqing ZhangXiaoxue ZhangLibrary Hi Techahead-of-printahead-of-print2022-06-1710.1108/LHT-09-2021-0318https://www.emerald.com/insight/content/doi/10.1108/LHT-09-2021-0318/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Facilitators and barriers to dealing with questionable journals in management sciencehttps://www.emerald.com/insight/content/doi/10.1108/LHT-09-2022-0420/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestScientific publishing has recently faced challenges in dealing with questionable (predatory and hijacked) journals. The presence of questionable journals in any field, including management science, will yield junk science. Although there are studies about questionable journals in other fields, these journals have not yet been examined in the field of business and management. This study aims to identify facilitators and barriers to dealing with questionable journals in management science. A Delphi research method consisting of three rounds was used in this study. Data were collected from 12 experts in the first two rounds, and ten experts in the final round. The present study shows that management science is vulnerable to questionable journals. A total of 18 barriers and eight facilitators to dealing with questionable journals in management science were found. The present study also identifies some new barriers and facilitators for avoiding questionable journals, which are specific to management science and have not been identified in previous research. Most of these barriers and facilitators were identified as “important” or “very important”. Publishers and scientific databases, government, the research community and universities and research centers were identified as critical players in overcoming challenges posed by questionable journals. The number of articles that investigate predatory journals in management science is limited, and there is no research focused specifically on hijacked journals in this field. This study identifies facilitators and obstacles to dealing with predatory and hijacked journals in the field of management, by gathering opinions from experts. Thus it is the first study to examine hijacked journals in the field of management science. It is also one of the few studies that examine predatory and hijacked journals by conducting exploratory research rather than with a descriptive/conceptual approach.Facilitators and barriers to dealing with questionable journals in management science
Mehdi Dadkhah, Fariborz Rahimnia, Aamir Raoof Memon
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Scientific publishing has recently faced challenges in dealing with questionable (predatory and hijacked) journals. The presence of questionable journals in any field, including management science, will yield junk science. Although there are studies about questionable journals in other fields, these journals have not yet been examined in the field of business and management. This study aims to identify facilitators and barriers to dealing with questionable journals in management science.

A Delphi research method consisting of three rounds was used in this study. Data were collected from 12 experts in the first two rounds, and ten experts in the final round.

The present study shows that management science is vulnerable to questionable journals. A total of 18 barriers and eight facilitators to dealing with questionable journals in management science were found. The present study also identifies some new barriers and facilitators for avoiding questionable journals, which are specific to management science and have not been identified in previous research. Most of these barriers and facilitators were identified as “important” or “very important”. Publishers and scientific databases, government, the research community and universities and research centers were identified as critical players in overcoming challenges posed by questionable journals.

The number of articles that investigate predatory journals in management science is limited, and there is no research focused specifically on hijacked journals in this field. This study identifies facilitators and obstacles to dealing with predatory and hijacked journals in the field of management, by gathering opinions from experts. Thus it is the first study to examine hijacked journals in the field of management science. It is also one of the few studies that examine predatory and hijacked journals by conducting exploratory research rather than with a descriptive/conceptual approach.

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Facilitators and barriers to dealing with questionable journals in management science10.1108/LHT-09-2022-0420Library Hi Tech2023-11-30© 2023 Emerald Publishing LimitedMehdi DadkhahFariborz RahimniaAamir Raoof MemonLibrary Hi Techahead-of-printahead-of-print2023-11-3010.1108/LHT-09-2022-0420https://www.emerald.com/insight/content/doi/10.1108/LHT-09-2022-0420/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How to improve elderly users' intention to use public digital cultural services: from the perspective of trusthttps://www.emerald.com/insight/content/doi/10.1108/LHT-09-2022-0436/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to explore the relationship between elderly users' trust in public digital cultural services (PDCS) and their intention to use PDCS, and reveal the factors affecting their intentions from the perspective of trust to make recommendations that will increase their intention to use PDCS. Combined with the trust building model and social exchange theory, this study constructed a conceptual model of elderly users' intention to use PDCS. Data collected from Chinese elderly users who have reached the age of 60 through questionnaire surveys were tested using the structural equation model with partial least squares. Finally, the authors proposed a model of elderly users' intention to use PDCS. This study finds that elderly users' trust positively affects their intention to use PDCS from two aspects: service features and user features of PDCS. Concerning the service features, system quality directly affects elderly users' trust in PDCS most significantly, followed by information quality and service reputation. Concerning the user features, perceived value has a higher impact on elderly users' trust than that of service features, and information literacy and information quality directly affect perceived value. This study adds new knowledge to the users' behavior of PDCS and enriches the prior description of PDCS. The recommendations made in this study provide a series of strategies for practitioners and researchers to improve the elderly users' intention to use PDCS and bridge the silver digital divide, which offers new ideas for improving the efficiency of PDCS.How to improve elderly users' intention to use public digital cultural services: from the perspective of trust
Yuwen Hua, Honglei Lia Sun, Ya Chen
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to explore the relationship between elderly users' trust in public digital cultural services (PDCS) and their intention to use PDCS, and reveal the factors affecting their intentions from the perspective of trust to make recommendations that will increase their intention to use PDCS.

Combined with the trust building model and social exchange theory, this study constructed a conceptual model of elderly users' intention to use PDCS. Data collected from Chinese elderly users who have reached the age of 60 through questionnaire surveys were tested using the structural equation model with partial least squares. Finally, the authors proposed a model of elderly users' intention to use PDCS.

This study finds that elderly users' trust positively affects their intention to use PDCS from two aspects: service features and user features of PDCS. Concerning the service features, system quality directly affects elderly users' trust in PDCS most significantly, followed by information quality and service reputation. Concerning the user features, perceived value has a higher impact on elderly users' trust than that of service features, and information literacy and information quality directly affect perceived value.

This study adds new knowledge to the users' behavior of PDCS and enriches the prior description of PDCS. The recommendations made in this study provide a series of strategies for practitioners and researchers to improve the elderly users' intention to use PDCS and bridge the silver digital divide, which offers new ideas for improving the efficiency of PDCS.

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How to improve elderly users' intention to use public digital cultural services: from the perspective of trust10.1108/LHT-09-2022-0436Library Hi Tech2023-08-03© 2023 Emerald Publishing LimitedYuwen HuaHonglei Lia SunYa ChenLibrary Hi Techahead-of-printahead-of-print2023-08-0310.1108/LHT-09-2022-0436https://www.emerald.com/insight/content/doi/10.1108/LHT-09-2022-0436/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Social networks in Iranian academic libraries: complementary or antagonistic tools?https://www.emerald.com/insight/content/doi/10.1108/LHT-09-2022-0453/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe present study aimed to investigate the impact of social networks on the use of academic libraries by university students. The method used in the present study was a survey. The statistical population included 461 university students. The data collection tool was a questionnaire. The result of the Cronbach test was equal to 0.726 indicating the acceptable reliability of the questionnaire. For data analysis, descriptive statistical methods and inferential statistical methods using SPSS 21 software were employed. The findings showed that 243 of the participants used social networks for 4–6 h a day, 192 students never used university libraries and 229 used the university library only once in a month. Communication with friends was also reported to be one of the main goals in using social networks. The results of regression analysis also indicated that four predictor variables including information retrieval, social influence, trust and attractiveness of social networking environment were statistically able to explain the variance of reluctance to use university libraries. The present study is one of the few studies that has examined the negative impact of social networks on visiting university libraries.Social networks in Iranian academic libraries: complementary or antagonistic tools?
Farshad Parhamnia
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The present study aimed to investigate the impact of social networks on the use of academic libraries by university students.

The method used in the present study was a survey. The statistical population included 461 university students. The data collection tool was a questionnaire. The result of the Cronbach test was equal to 0.726 indicating the acceptable reliability of the questionnaire. For data analysis, descriptive statistical methods and inferential statistical methods using SPSS 21 software were employed.

The findings showed that 243 of the participants used social networks for 4–6 h a day, 192 students never used university libraries and 229 used the university library only once in a month. Communication with friends was also reported to be one of the main goals in using social networks. The results of regression analysis also indicated that four predictor variables including information retrieval, social influence, trust and attractiveness of social networking environment were statistically able to explain the variance of reluctance to use university libraries.

The present study is one of the few studies that has examined the negative impact of social networks on visiting university libraries.

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Social networks in Iranian academic libraries: complementary or antagonistic tools?10.1108/LHT-09-2022-0453Library Hi Tech2023-02-20© 2023 Emerald Publishing LimitedFarshad ParhamniaLibrary Hi Techahead-of-printahead-of-print2023-02-2010.1108/LHT-09-2022-0453https://www.emerald.com/insight/content/doi/10.1108/LHT-09-2022-0453/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Social media use and subjective well-being among university students in Japan during the COVID-19 pandemichttps://www.emerald.com/insight/content/doi/10.1108/LHT-09-2023-0397/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study explored how the use of different social media is related to subjective well-being among university students during the COVID-19 pandemic in Japan. We surveyed 1,681 university students in the Kanto region of Japan in May 2021 to investigate how social media use relates to subjective well-being. We also examined the effects of self-consciousness and friendship, self-presentation desire, generalized trust, online communication skills, depression tendency and social support from others. The responses revealed 15 possible patterns of social media usage on four widely used social media in Japan (LINE, Twitter, Instagram and Facebook). We selected users with the top five patterns for further statistical analyses: LINE/Twitter/Instagram/Facebook, LINE/Twitter/Instagram, LINE/Twitter, LINE/Instagram and LINE only. Overall, self-establishment as a factor of self-consciousness and friendship, and social support from others had positive effects on the improvement of subjective well-being, whereas depression tendency had negative effects on their subjective well-being regardless of their usage patterns, of which the results of social support from others and depression tendency were consistent with the results of previous studies. Regarding other factors, they had different effects on subjective well-being due to different patterns. Effects on subjective well-being from self-indeterminate and self-independency as factors of self-consciousness and friendship, praise acquisition, self-appeal and topic avoidance as factors of self-presentation desire were observed. This is among the earliest studies on the relationship between young generations’ social media use and subjective well-being through social media usage patterns during the COVID-19 pandemic in Japan.Social media use and subjective well-being among university students in Japan during the COVID-19 pandemic
Shaoyu Ye, Kevin K.W. Ho
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study explored how the use of different social media is related to subjective well-being among university students during the COVID-19 pandemic in Japan.

We surveyed 1,681 university students in the Kanto region of Japan in May 2021 to investigate how social media use relates to subjective well-being. We also examined the effects of self-consciousness and friendship, self-presentation desire, generalized trust, online communication skills, depression tendency and social support from others.

The responses revealed 15 possible patterns of social media usage on four widely used social media in Japan (LINE, Twitter, Instagram and Facebook). We selected users with the top five patterns for further statistical analyses: LINE/Twitter/Instagram/Facebook, LINE/Twitter/Instagram, LINE/Twitter, LINE/Instagram and LINE only. Overall, self-establishment as a factor of self-consciousness and friendship, and social support from others had positive effects on the improvement of subjective well-being, whereas depression tendency had negative effects on their subjective well-being regardless of their usage patterns, of which the results of social support from others and depression tendency were consistent with the results of previous studies. Regarding other factors, they had different effects on subjective well-being due to different patterns. Effects on subjective well-being from self-indeterminate and self-independency as factors of self-consciousness and friendship, praise acquisition, self-appeal and topic avoidance as factors of self-presentation desire were observed.

This is among the earliest studies on the relationship between young generations’ social media use and subjective well-being through social media usage patterns during the COVID-19 pandemic in Japan.

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Social media use and subjective well-being among university students in Japan during the COVID-19 pandemic10.1108/LHT-09-2023-0397Library Hi Tech2024-02-27© 2024 Emerald Publishing LimitedShaoyu YeKevin K.W. HoLibrary Hi Techahead-of-printahead-of-print2024-02-2710.1108/LHT-09-2023-0397https://www.emerald.com/insight/content/doi/10.1108/LHT-09-2023-0397/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Two-way deviation: the impact of the deviation of horizontal and vertical answers on knowledge adoption in virtual Q&A communitieshttps://www.emerald.com/insight/content/doi/10.1108/LHT-09-2023-0412/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestKnowledge adoption is the key to effective knowledge exchange in virtual question-and-answer (Q&A) communities. Although previous studies have examined the effects of knowledge content, knowledge source credibility and the personal characteristics of knowledge seekers on knowledge adoption in virtual Q&A communities from a static perspective, the impact of answer deviation on knowledge adoption has rarely been explored from a context-based perspective. The purpose of this study is to explore the impact of two-way deviation on knowledge adoption in virtual Q&A communities, with the aim of expanding the understanding of knowledge exchange and community management. The same question and the same answerer often yield multiple answers. Knowledge seekers usually read multiple answers to make adoption decisions. The impact of deviations among answers on knowledge seekers' knowledge adoption is critical. From a context-based perspective, a research model of the impact of the deviation of horizontal and vertical answers on knowledge adoption is established based on the heuristic-systematic model (HSM) and empirically examined with 88,287 Q&A data points and answerer data collected from Zhihu. Additionally, the moderation effects of static factors such as answerer reputation and answer length are examined. The negative binomial regression results show that the content and emotion deviation of horizontal answers negatively affect knowledge seekers' knowledge adoption. The content deviation of vertical answers is negatively associated with knowledge adoption, while the emotion deviation of vertical answers is positively related to knowledge adoption. Moreover, answerer reputation positively moderates the negative effect of the emotion deviation of horizontal answers on knowledge adoption. Answer length weakens the negative correlation between the content deviation of horizontal and vertical answers and knowledge adoption. This study extends previous research on knowledge adoption from a static perspective to a context-based perspective. Moreover, information deviation is expanded from a one-way variable to a two-way variable. The combined effects of static and contextual factors on knowledge adoption are further uncovered. This study can not only help knowledge seekers identify the best answers but also help virtual Q&A community managers optimize community design and operation to reduce the cost of knowledge search and improve the efficiency of knowledge exchange.Two-way deviation: the impact of the deviation of horizontal and vertical answers on knowledge adoption in virtual Q&A communities
Ming Li, Jing Liang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Knowledge adoption is the key to effective knowledge exchange in virtual question-and-answer (Q&A) communities. Although previous studies have examined the effects of knowledge content, knowledge source credibility and the personal characteristics of knowledge seekers on knowledge adoption in virtual Q&A communities from a static perspective, the impact of answer deviation on knowledge adoption has rarely been explored from a context-based perspective. The purpose of this study is to explore the impact of two-way deviation on knowledge adoption in virtual Q&A communities, with the aim of expanding the understanding of knowledge exchange and community management.

The same question and the same answerer often yield multiple answers. Knowledge seekers usually read multiple answers to make adoption decisions. The impact of deviations among answers on knowledge seekers' knowledge adoption is critical. From a context-based perspective, a research model of the impact of the deviation of horizontal and vertical answers on knowledge adoption is established based on the heuristic-systematic model (HSM) and empirically examined with 88,287 Q&A data points and answerer data collected from Zhihu. Additionally, the moderation effects of static factors such as answerer reputation and answer length are examined.

The negative binomial regression results show that the content and emotion deviation of horizontal answers negatively affect knowledge seekers' knowledge adoption. The content deviation of vertical answers is negatively associated with knowledge adoption, while the emotion deviation of vertical answers is positively related to knowledge adoption. Moreover, answerer reputation positively moderates the negative effect of the emotion deviation of horizontal answers on knowledge adoption. Answer length weakens the negative correlation between the content deviation of horizontal and vertical answers and knowledge adoption.

This study extends previous research on knowledge adoption from a static perspective to a context-based perspective. Moreover, information deviation is expanded from a one-way variable to a two-way variable. The combined effects of static and contextual factors on knowledge adoption are further uncovered. This study can not only help knowledge seekers identify the best answers but also help virtual Q&A community managers optimize community design and operation to reduce the cost of knowledge search and improve the efficiency of knowledge exchange.

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Two-way deviation: the impact of the deviation of horizontal and vertical answers on knowledge adoption in virtual Q&A communities10.1108/LHT-09-2023-0412Library Hi Tech2024-01-19© 2024 Emerald Publishing LimitedMing LiJing LiangLibrary Hi Techahead-of-printahead-of-print2024-01-1910.1108/LHT-09-2023-0412https://www.emerald.com/insight/content/doi/10.1108/LHT-09-2023-0412/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Advancing elderly healthcare: adapting UTAUT2 with inhibitors for wearable device continuancehttps://www.emerald.com/insight/content/doi/10.1108/LHT-09-2023-0413/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWearable health devices (WHDs) have demonstrated significant potential in assisting elderly adults with proactive health management by utilizing sensors to record and monitor various aspects of their health, including physical activity, heart rate, etc. However, limited research has systematically explored older adults’ continued usage intention toward WHD. By utilizing the extended unified theory of acceptance and use of technology (UTAUT2), this paper aims to probe the precursors of elderly adults’ continuance intention to use WHD from an enabler–inhibitor perspective. The research model was developed based on UTAUT2 and examined utilizing the partial least squares technique (PLS). The research data were collected through in-person meetings with older people (n = 272) in four cities in China. Results reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic values and perceived complexity are the positive predictors of elderly adults’ continuance intention to use WHDs. Technology-related anxiety and usage cost negatively influence the formation of older people’s continuance intention. This work is an original empirical investigation that draws on several theories as guiding frameworks. It adds to the existing literature on the usage of wearable technologies and offers insights into how the elderly’s intentions to continue using WHDs can be developed. This study broadens the scope of the UTAUT2 application and presents an alternative theoretical framework that can be utilized in future research on the usage behavior of wearable devices by individuals.Advancing elderly healthcare: adapting UTAUT2 with inhibitors for wearable device continuance
Ruo-yu Liang, Yin Li, Wei Wei
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Wearable health devices (WHDs) have demonstrated significant potential in assisting elderly adults with proactive health management by utilizing sensors to record and monitor various aspects of their health, including physical activity, heart rate, etc. However, limited research has systematically explored older adults’ continued usage intention toward WHD. By utilizing the extended unified theory of acceptance and use of technology (UTAUT2), this paper aims to probe the precursors of elderly adults’ continuance intention to use WHD from an enabler–inhibitor perspective.

The research model was developed based on UTAUT2 and examined utilizing the partial least squares technique (PLS). The research data were collected through in-person meetings with older people (n = 272) in four cities in China.

Results reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic values and perceived complexity are the positive predictors of elderly adults’ continuance intention to use WHDs. Technology-related anxiety and usage cost negatively influence the formation of older people’s continuance intention.

This work is an original empirical investigation that draws on several theories as guiding frameworks. It adds to the existing literature on the usage of wearable technologies and offers insights into how the elderly’s intentions to continue using WHDs can be developed. This study broadens the scope of the UTAUT2 application and presents an alternative theoretical framework that can be utilized in future research on the usage behavior of wearable devices by individuals.

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Advancing elderly healthcare: adapting UTAUT2 with inhibitors for wearable device continuance10.1108/LHT-09-2023-0413Library Hi Tech2024-03-22© 2024 Emerald Publishing LimitedRuo-yu LiangYin LiWei WeiLibrary Hi Techahead-of-printahead-of-print2024-03-2210.1108/LHT-09-2023-0413https://www.emerald.com/insight/content/doi/10.1108/LHT-09-2023-0413/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot studyhttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2021-0356/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study investigates the level of artificial intelligence (AI) awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the benefits of AI implementation and its necessary infrastructure and challenges. The study adopted a purposive sampling technique to select the 38 participants and thematic analysis to analyze the data, identifying eight themes: understanding of AI, AI adoption, benefits of AI, competencies needed to support AI, facilities to support AI, factors supporting AI adoption, AI-inhibiting factors and expectations of AI. Different viewpoints provided full awareness among library stakeholders and sufficient information to begin AI initiatives in Indonesian libraries as leaders, practitioners and scientists had a favorable, open and encouraging outlook on AI. The study does not investigate variations in perspectives between the participants, but it examines their understanding of AI and elaborates the results into the concept of an intelligent library. Moreover, this study only uses samples from academic libraries. Libraries can take these results into consideration before implementing AI, especially in technology and facilities, librarian competency with regard to AI and leadership roles in AI projects. Library boards and library associations can use this research as a source to create guidelines about AI implementation in academic libraries. The study addresses the gap in the research on university libraries' readiness and awareness to implement AI, especially in developing countries.Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot study
Dessy Harisanty, Nove E. Variant Anna, Tesa Eranti Putri, Aji Akbar Firdaus, Nurul Aida Noor Azizi
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study investigates the level of artificial intelligence (AI) awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the benefits of AI implementation and its necessary infrastructure and challenges.

The study adopted a purposive sampling technique to select the 38 participants and thematic analysis to analyze the data, identifying eight themes: understanding of AI, AI adoption, benefits of AI, competencies needed to support AI, facilities to support AI, factors supporting AI adoption, AI-inhibiting factors and expectations of AI.

Different viewpoints provided full awareness among library stakeholders and sufficient information to begin AI initiatives in Indonesian libraries as leaders, practitioners and scientists had a favorable, open and encouraging outlook on AI.

The study does not investigate variations in perspectives between the participants, but it examines their understanding of AI and elaborates the results into the concept of an intelligent library. Moreover, this study only uses samples from academic libraries.

Libraries can take these results into consideration before implementing AI, especially in technology and facilities, librarian competency with regard to AI and leadership roles in AI projects.

Library boards and library associations can use this research as a source to create guidelines about AI implementation in academic libraries.

The study addresses the gap in the research on university libraries' readiness and awareness to implement AI, especially in developing countries.

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Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot study10.1108/LHT-10-2021-0356Library Hi Tech2022-04-04© 2022 Emerald Publishing LimitedDessy HarisantyNove E. Variant AnnaTesa Eranti PutriAji Akbar FirdausNurul Aida Noor AziziLibrary Hi Techahead-of-printahead-of-print2022-04-0410.1108/LHT-10-2021-0356https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2021-0356/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Analyzing the spatiotemporal coupling relationship between public opinion and the epidemic during COVID-19https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0462/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe outbreak of COVID-19 has become a major public health emergency worldwide. How to effectively guide public opinion and implement precise prevention and control is a hot topic in current research. Mining the spatiotemporal coupling between online public opinion and offline epidemics can provide decision support for the precise management and control of future emergencies. This study focuses on analyzing the spatiotemporal coupling relationship between public opinion and the epidemic. First, based on Weibo information and confirmed case information, a field framework is constructed using field theory. Second, SnowNLP is used for sentiment mining and LDA is utilized for topic extraction to analyze the topic evolution and the sentiment evolution of public opinion in each coupling stage. Finally, the spatial model is used to explore the coupling relationship between public opinion and the epidemic in space. The findings show that there is a certain coupling between online public opinion sentiment and offline epidemics, with a significant coupling relationship in the time dimension, while there is no remarkable coupling relationship in space. In addition, the core topics of public concern are different at different coupling stages. This study deeply explores the spatiotemporal coupling relationship between online public opinion and offline epidemics, adding a new research perspective to related research. The result can help the government and relevant departments understand the dynamic development of epidemic events and achieve precise control while mastering the dynamics of online public opinion.Analyzing the spatiotemporal coupling relationship between public opinion and the epidemic during COVID-19
Jingjing Sun, Ziming Zeng, Tingting Li, Shouqiang Sun
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The outbreak of COVID-19 has become a major public health emergency worldwide. How to effectively guide public opinion and implement precise prevention and control is a hot topic in current research. Mining the spatiotemporal coupling between online public opinion and offline epidemics can provide decision support for the precise management and control of future emergencies.

This study focuses on analyzing the spatiotemporal coupling relationship between public opinion and the epidemic. First, based on Weibo information and confirmed case information, a field framework is constructed using field theory. Second, SnowNLP is used for sentiment mining and LDA is utilized for topic extraction to analyze the topic evolution and the sentiment evolution of public opinion in each coupling stage. Finally, the spatial model is used to explore the coupling relationship between public opinion and the epidemic in space.

The findings show that there is a certain coupling between online public opinion sentiment and offline epidemics, with a significant coupling relationship in the time dimension, while there is no remarkable coupling relationship in space. In addition, the core topics of public concern are different at different coupling stages.

This study deeply explores the spatiotemporal coupling relationship between online public opinion and offline epidemics, adding a new research perspective to related research. The result can help the government and relevant departments understand the dynamic development of epidemic events and achieve precise control while mastering the dynamics of online public opinion.

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Analyzing the spatiotemporal coupling relationship between public opinion and the epidemic during COVID-1910.1108/LHT-10-2022-0462Library Hi Tech2023-06-22© 2023 Emerald Publishing LimitedJingjing SunZiming ZengTingting LiShouqiang SunLibrary Hi Techahead-of-printahead-of-print2023-06-2210.1108/LHT-10-2022-0462https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0462/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
User experience of digital science and education evaluation platform: identification and analysis of key influencing factorshttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0468/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestEstablishing and developing digital science and education evaluation platforms (DSEEPs) have several practical implications for the development of China's science, technology and education. Identifying and analyzing the key factors influencing DSEEP user experience (UX) can improve the users' willingness to use the platform and effectively promote its sustainable development. First, a literature survey, a five-element model of UX and semi-structured interviews were used in this study to develop a DSEEP UX-influencing factor model, which included five dimensions and 22 influencing factors. Second, the model validity was verified using questionnaire data. Finally, the key influencing factors were identified and analyzed using a fuzzy decision-making trial and evaluation laboratory (fuzzy-DEMATEL) method. Fourteen influencing factors, including diverse information forms and comprehensive information content, are crucial for the DSEEP UX. Its optimization path is “‘Function Services’ → ‘Information Resources’ → ‘Interaction Design’ → ‘Interface Design’ and ‘Visual Design’.” In this regard, platform managers can take the following measures to optimize UX: strengthening functional services, improving information resources, enhancing the interactive experience and considering interface effects. This study uses a combination of qualitative and quantitative research methods to determine the key influencing factors and optimization path of DSEEP UX. Optimization suggestions for UX are proposed from the perspective of platform managers, who provide an effective theoretical reference for innovating and developing a DSEEP.User experience of digital science and education evaluation platform: identification and analysis of key influencing factors
Junping Qiu, Zhongyang Xu, Haibei Luo, Jianing Zhou, Yu Zhang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Establishing and developing digital science and education evaluation platforms (DSEEPs) have several practical implications for the development of China's science, technology and education. Identifying and analyzing the key factors influencing DSEEP user experience (UX) can improve the users' willingness to use the platform and effectively promote its sustainable development.

First, a literature survey, a five-element model of UX and semi-structured interviews were used in this study to develop a DSEEP UX-influencing factor model, which included five dimensions and 22 influencing factors. Second, the model validity was verified using questionnaire data. Finally, the key influencing factors were identified and analyzed using a fuzzy decision-making trial and evaluation laboratory (fuzzy-DEMATEL) method.

Fourteen influencing factors, including diverse information forms and comprehensive information content, are crucial for the DSEEP UX. Its optimization path is “‘Function Services’ → ‘Information Resources’ → ‘Interaction Design’ → ‘Interface Design’ and ‘Visual Design’.” In this regard, platform managers can take the following measures to optimize UX: strengthening functional services, improving information resources, enhancing the interactive experience and considering interface effects.

This study uses a combination of qualitative and quantitative research methods to determine the key influencing factors and optimization path of DSEEP UX. Optimization suggestions for UX are proposed from the perspective of platform managers, who provide an effective theoretical reference for innovating and developing a DSEEP.

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User experience of digital science and education evaluation platform: identification and analysis of key influencing factors10.1108/LHT-10-2022-0468Library Hi Tech2023-06-20© 2023 Emerald Publishing LimitedJunping QiuZhongyang XuHaibei LuoJianing ZhouYu ZhangLibrary Hi Techahead-of-printahead-of-print2023-06-2010.1108/LHT-10-2022-0468https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0468/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
An assessment of blockchain academia and news developments: a bibliometric and text-mining analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0473/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified. To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures. The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries. Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers. This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.An assessment of blockchain academia and news developments: a bibliometric and text-mining analysis
Chien-Wen Shen, Phung Phi Tran
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.

To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.

The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.

Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.

This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.

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An assessment of blockchain academia and news developments: a bibliometric and text-mining analysis10.1108/LHT-10-2022-0473Library Hi Tech2023-10-16© 2023 Emerald Publishing LimitedChien-Wen ShenPhung Phi TranLibrary Hi Techahead-of-printahead-of-print2023-10-1610.1108/LHT-10-2022-0473https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0473/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The trend and future of techno-ethics: a bibliometric analysis of three decadeshttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0477/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the growth and profound influence of technology on our life, it is important to address the ethical issues inherent to the development and deployment of technology. Researchers and practitioners submit the need to inspect: how technology and ethics interact, how ethical principles regulate technology and what could be the probable future course of action to execute techno-ethical practices in a socio-technical discourse effectively. To address the thoughts related to techno-ethics, the authors of the present study conducted exploratory research to understand the trend and relevance of technology ethics since its inception. The study collected over 679 documents for the period 1990–2022 from the Scopus database. A quantitative approach of bibliometric analysis was conducted to study the pattern of authorship, publications, citations, prominent journals and contributors in the subject area. VOS viewer software was utilized to visualize and map academic performance in techno-ethics. The findings revealed that the concept of techno-ethics is an emerging field and requires more investigation to harness its relevance with everchanging technology development. The data revealed substantial growth in the field of techno-ethics in humanities, social science and management domain in the last two decades. Also, most of the prominent cited references and documents in the database tend to cover the theme of Artificial Intelligence, Big data, computer ethics, morality, decision-making, IT ethics, human rights, responsibility and privacy. The article provides a comprehensive overview of scientific production and main research trends in techno-ethics until 2022. The study is a pioneer in expanding the academic productivity and performance of embedding ethics in technology.The trend and future of techno-ethics: a bibliometric analysis of three decades
Shivangi Verma, Naval Garg
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the growth and profound influence of technology on our life, it is important to address the ethical issues inherent to the development and deployment of technology. Researchers and practitioners submit the need to inspect: how technology and ethics interact, how ethical principles regulate technology and what could be the probable future course of action to execute techno-ethical practices in a socio-technical discourse effectively. To address the thoughts related to techno-ethics, the authors of the present study conducted exploratory research to understand the trend and relevance of technology ethics since its inception.

The study collected over 679 documents for the period 1990–2022 from the Scopus database. A quantitative approach of bibliometric analysis was conducted to study the pattern of authorship, publications, citations, prominent journals and contributors in the subject area. VOS viewer software was utilized to visualize and map academic performance in techno-ethics.

The findings revealed that the concept of techno-ethics is an emerging field and requires more investigation to harness its relevance with everchanging technology development. The data revealed substantial growth in the field of techno-ethics in humanities, social science and management domain in the last two decades. Also, most of the prominent cited references and documents in the database tend to cover the theme of Artificial Intelligence, Big data, computer ethics, morality, decision-making, IT ethics, human rights, responsibility and privacy.

The article provides a comprehensive overview of scientific production and main research trends in techno-ethics until 2022. The study is a pioneer in expanding the academic productivity and performance of embedding ethics in technology.

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The trend and future of techno-ethics: a bibliometric analysis of three decades10.1108/LHT-10-2022-0477Library Hi Tech2023-05-11© 2023 Emerald Publishing LimitedShivangi VermaNaval GargLibrary Hi Techahead-of-printahead-of-print2023-05-1110.1108/LHT-10-2022-0477https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0477/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Applications of metaverse-related technologies in the services of US urban librarieshttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0486/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this paper is to understand the applications of metaverse-related technologies in US urban libraries, explore excellent cases of US urban libraries' practices in using metaverse-related technologies to serve patrons and try to find the factor that may affect the application of metaverse-related technologies in libraries at this stage. To gather information about how and whether libraries use metaverse-related technologies such as three-dimensional (3D) technology, radio frequency identification (RFID), virtual reality augmented reality (AR) and artificial intelligence (AI) in their services. Firstly, the authors visit 150 US urban library websites that are members of the Urban Libraries Council. Secondly, the authors calculate the proportion of services provided by urban libraries that use metaverse-related technologies and introduce outstanding cases. Lastly, the authors discuss the factors that influence the application of metaverse-related technologies in urban libraries in the United States based on data published by the Institute of Museum and Library Services. Metaverse-related technologies have been widely used in US urban libraries, but there are differences in the popularity of the applications of different technologies. In all, 84% of libraries use 3D technology, mainly in 3D printing services and 3D model building services; 76% of libraries use virtual and augmented reality technologies in their services, mainly concentrated in head-mounted VR device experiences, AR device experiences, virtual tours and virtual exhibitions; 62% of libraries use Internet of things (IoT) technology, mainly in self-checkout machines and book location services. However, AI technologies are less used in libraries, with 28% of libraries mentioning the applications of AI in their services, mainly focusing on intelligent search, virtual assistants and robot librarians. In addition, this study finds that library operating expenditures and population served do not affect the application of metaverse-related technologies in libraries. This paper provides updated statistical data on the use of metaverse-related technologies in US urban libraries and aims to help library managers understand the overall applications and best practices. With this as an inspiration, they could formulate corresponding development plans to better serve their communities with metaverse-related technologies.Applications of metaverse-related technologies in the services of US urban libraries
Yajun Guo, Yiming Yuan, Shuai Li, Yiruo Guo, Yiyang Fu, Zihan Jin
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this paper is to understand the applications of metaverse-related technologies in US urban libraries, explore excellent cases of US urban libraries' practices in using metaverse-related technologies to serve patrons and try to find the factor that may affect the application of metaverse-related technologies in libraries at this stage.

To gather information about how and whether libraries use metaverse-related technologies such as three-dimensional (3D) technology, radio frequency identification (RFID), virtual reality augmented reality (AR) and artificial intelligence (AI) in their services. Firstly, the authors visit 150 US urban library websites that are members of the Urban Libraries Council. Secondly, the authors calculate the proportion of services provided by urban libraries that use metaverse-related technologies and introduce outstanding cases. Lastly, the authors discuss the factors that influence the application of metaverse-related technologies in urban libraries in the United States based on data published by the Institute of Museum and Library Services.

Metaverse-related technologies have been widely used in US urban libraries, but there are differences in the popularity of the applications of different technologies. In all, 84% of libraries use 3D technology, mainly in 3D printing services and 3D model building services; 76% of libraries use virtual and augmented reality technologies in their services, mainly concentrated in head-mounted VR device experiences, AR device experiences, virtual tours and virtual exhibitions; 62% of libraries use Internet of things (IoT) technology, mainly in self-checkout machines and book location services. However, AI technologies are less used in libraries, with 28% of libraries mentioning the applications of AI in their services, mainly focusing on intelligent search, virtual assistants and robot librarians. In addition, this study finds that library operating expenditures and population served do not affect the application of metaverse-related technologies in libraries.

This paper provides updated statistical data on the use of metaverse-related technologies in US urban libraries and aims to help library managers understand the overall applications and best practices. With this as an inspiration, they could formulate corresponding development plans to better serve their communities with metaverse-related technologies.

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Applications of metaverse-related technologies in the services of US urban libraries10.1108/LHT-10-2022-0486Library Hi Tech2023-04-04© 2023 Emerald Publishing LimitedYajun GuoYiming YuanShuai LiYiruo GuoYiyang FuZihan JinLibrary Hi Techahead-of-printahead-of-print2023-04-0410.1108/LHT-10-2022-0486https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0486/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Areas and contexts of the use of robotics in libraries: an overview of the applied solutions and a discussion of prospectshttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0487/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestRobotics is a topic that rarely appears in Library and Information Science literature as it is mainly explored in the field of computer science. It is also a very complex topic that covers various forms of technical solutions that have varying degrees of complexity; these are conventionally referred to as robots. The aim of this article is to present an overview of the applied solutions from the field of robotics in libraries and a discussion of the future prospects for their use in various areas of library activity. The article is based on a literature review. Systematic comparative searches were made in the Scopus and Web of Science databases and the popular Google Scholar search engine. Publications in English related to the use of robots in libraries were sought in the 2010–2021 period. The results were subjected to qualitative analysis in order to define the main directions of reflection. The conducted analyses showed that the topic of the use of robots in libraries is relatively rarely mentioned in LIS literature as the main topic of considerations. In practice, however, many interesting examples of the use of robots in libraries can be found, mainly in the area of educational and popularizing activities. The paper is based on a systematic literature review. However, it is based on selected information sources and covers a specific chronological range, therefore it does not reflect all publications in the field of using robots in libraries. The second limitation concerns the examples of library activities mentioned in the text. For obvious reasons, it is not possible to describe all interesting initiatives, so a selection was made to illustrate the main trends. Robots have a wide practical application in library activities, as evidenced by the examples described in this paper. Systematized reflection on this topic may promote the popularization of the practical implementation of robots in libraries. Robotics is a topic that, due to a lack of reliable knowledge, is often of great concern and social controversy. Disseminating knowledge about the usability of robots may foster a peaceful social debate on this topic. Robotics-related topics are still rarely discussed in the LIS subject literature. In particular, there are no entry-level review articles that would familiarize a reader with the most important findings on the practical aspects of implementing robots in libraries and provide a starting point for reading more detailed publications on specific technologies or implementations.Areas and contexts of the use of robotics in libraries: an overview of the applied solutions and a discussion of prospects
Magdalena Wójcik
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Robotics is a topic that rarely appears in Library and Information Science literature as it is mainly explored in the field of computer science. It is also a very complex topic that covers various forms of technical solutions that have varying degrees of complexity; these are conventionally referred to as robots. The aim of this article is to present an overview of the applied solutions from the field of robotics in libraries and a discussion of the future prospects for their use in various areas of library activity.

The article is based on a literature review. Systematic comparative searches were made in the Scopus and Web of Science databases and the popular Google Scholar search engine. Publications in English related to the use of robots in libraries were sought in the 2010–2021 period. The results were subjected to qualitative analysis in order to define the main directions of reflection.

The conducted analyses showed that the topic of the use of robots in libraries is relatively rarely mentioned in LIS literature as the main topic of considerations. In practice, however, many interesting examples of the use of robots in libraries can be found, mainly in the area of educational and popularizing activities.

The paper is based on a systematic literature review. However, it is based on selected information sources and covers a specific chronological range, therefore it does not reflect all publications in the field of using robots in libraries. The second limitation concerns the examples of library activities mentioned in the text. For obvious reasons, it is not possible to describe all interesting initiatives, so a selection was made to illustrate the main trends.

Robots have a wide practical application in library activities, as evidenced by the examples described in this paper. Systematized reflection on this topic may promote the popularization of the practical implementation of robots in libraries.

Robotics is a topic that, due to a lack of reliable knowledge, is often of great concern and social controversy. Disseminating knowledge about the usability of robots may foster a peaceful social debate on this topic.

Robotics-related topics are still rarely discussed in the LIS subject literature. In particular, there are no entry-level review articles that would familiarize a reader with the most important findings on the practical aspects of implementing robots in libraries and provide a starting point for reading more detailed publications on specific technologies or implementations.

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Areas and contexts of the use of robotics in libraries: an overview of the applied solutions and a discussion of prospects10.1108/LHT-10-2022-0487Library Hi Tech2023-03-27© 2023 Emerald Publishing LimitedMagdalena WójcikLibrary Hi Techahead-of-printahead-of-print2023-03-2710.1108/LHT-10-2022-0487https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0487/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Development and maturity of co-word thematic clusters: the field of linked datahttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0488/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research aimed to visualize and analyze the co-word network and thematic clusters of the intellectual structure in the field of linked data during 1900–2021. This applied research employed a descriptive and analytical method, scientometric indicators, co-word techniques, and social network analysis. VOSviewer, SPSS, Python programming, and UCINet software were used for data analysis and network structure visualization. The top ranks of the Web of Science (WOS) subject categorization belonged to various fields of computer science. Besides, the USA was the most prolific country. The keyword ontology had the highest frequency of co-occurrence. Ontology and semantic were the most frequent co-word pairs. In terms of the network structure, nine major topic clusters were identified based on co-occurrence, and 29 thematic clusters were identified based on hierarchical clustering. Comparisons between the two clustering techniques indicated that three clusters, namely semantic bioinformatics, knowledge representation, and semantic tools were in common. The most mature and mainstream thematic clusters were natural language processing techniques to boost modeling and visualization, context-aware knowledge discovery, probabilistic latent semantic analysis (PLSA), semantic tools, latent semantic indexing, web ontology language (OWL) syntax, and ontology-based deep learning. This study adopted various techniques such as co-word analysis, social network analysis network structure visualization, and hierarchical clustering to represent a suitable, visual, methodical, and comprehensive perspective into linked data.Development and maturity of co-word thematic clusters: the field of linked data
Elaheh Hosseini, Kimiya Taghizadeh Milani, Mohammad Shaker Sabetnasab
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research aimed to visualize and analyze the co-word network and thematic clusters of the intellectual structure in the field of linked data during 1900–2021.

This applied research employed a descriptive and analytical method, scientometric indicators, co-word techniques, and social network analysis. VOSviewer, SPSS, Python programming, and UCINet software were used for data analysis and network structure visualization.

The top ranks of the Web of Science (WOS) subject categorization belonged to various fields of computer science. Besides, the USA was the most prolific country. The keyword ontology had the highest frequency of co-occurrence. Ontology and semantic were the most frequent co-word pairs. In terms of the network structure, nine major topic clusters were identified based on co-occurrence, and 29 thematic clusters were identified based on hierarchical clustering. Comparisons between the two clustering techniques indicated that three clusters, namely semantic bioinformatics, knowledge representation, and semantic tools were in common. The most mature and mainstream thematic clusters were natural language processing techniques to boost modeling and visualization, context-aware knowledge discovery, probabilistic latent semantic analysis (PLSA), semantic tools, latent semantic indexing, web ontology language (OWL) syntax, and ontology-based deep learning.

This study adopted various techniques such as co-word analysis, social network analysis network structure visualization, and hierarchical clustering to represent a suitable, visual, methodical, and comprehensive perspective into linked data.

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Development and maturity of co-word thematic clusters: the field of linked data10.1108/LHT-10-2022-0488Library Hi Tech2023-07-20© 2023 Emerald Publishing LimitedElaheh HosseiniKimiya Taghizadeh MilaniMohammad Shaker SabetnasabLibrary Hi Techahead-of-printahead-of-print2023-07-2010.1108/LHT-10-2022-0488https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0488/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
The effect of immersive experience, user engagement and perceived authenticity on place satisfaction in the context of augmented realityhttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0498/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to measure the effect of augmented reality (AR) on immersive experiences, place satisfaction, user engagement and perceived authenticity. The population of the research consists of museum visitors visiting the Sakip Sabanci Museum in Turkey, which provides an interactive experience to the audience using AR technology via iPads. The data were collected both online and offline. The research was carried out with 397 questionnaire forms. The hypotheses were tested through smart partial least squares (PLS) 3. Immersive experience positively affects place satisfaction, user engagement and perceived authenticity. It was also concluded that user engagement and perceived authenticity mediated the relationship between immersive experience and place satisfaction. The entire universe could not be reached, as the study had limitations in terms of time, cost, accessibility and control difficulties. Therefore, the study was carried out with 397 visitors who visited the Sakip Sabanci Museum (SSM) in Turkey and used AR technology. The study emphasized the importance of AR in cultural tourism. The interactions of museum visitors with AR can be greatly enhanced by immersive experiences. Expanding AR to provide different experiences can increase the number of visitors. Although there are recent studies on AR, it seems insufficient to investigate and empirically examine this subject in the context of museums. No studies conducted in Turkey have investigated the current topic of this study. Conducting this research in Turkey with the proposed research model will make the topic easier to understand, proving the study's originality.The effect of immersive experience, user engagement and perceived authenticity on place satisfaction in the context of augmented reality
Kazım Dağ, Sinan Çavuşoğlu, Yakup Durmaz
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to measure the effect of augmented reality (AR) on immersive experiences, place satisfaction, user engagement and perceived authenticity.

The population of the research consists of museum visitors visiting the Sakip Sabanci Museum in Turkey, which provides an interactive experience to the audience using AR technology via iPads. The data were collected both online and offline. The research was carried out with 397 questionnaire forms. The hypotheses were tested through smart partial least squares (PLS) 3.

Immersive experience positively affects place satisfaction, user engagement and perceived authenticity. It was also concluded that user engagement and perceived authenticity mediated the relationship between immersive experience and place satisfaction.

The entire universe could not be reached, as the study had limitations in terms of time, cost, accessibility and control difficulties. Therefore, the study was carried out with 397 visitors who visited the Sakip Sabanci Museum (SSM) in Turkey and used AR technology.

The study emphasized the importance of AR in cultural tourism. The interactions of museum visitors with AR can be greatly enhanced by immersive experiences. Expanding AR to provide different experiences can increase the number of visitors.

Although there are recent studies on AR, it seems insufficient to investigate and empirically examine this subject in the context of museums. No studies conducted in Turkey have investigated the current topic of this study. Conducting this research in Turkey with the proposed research model will make the topic easier to understand, proving the study's originality.

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The effect of immersive experience, user engagement and perceived authenticity on place satisfaction in the context of augmented reality10.1108/LHT-10-2022-0498Library Hi Tech2023-02-07© 2023 Emerald Publishing LimitedKazım DağSinan ÇavuşoğluYakup DurmazLibrary Hi Techahead-of-printahead-of-print2023-02-0710.1108/LHT-10-2022-0498https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0498/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Multimedia information retrieval using content-based image retrieval and context link for Chinese cultural artifactshttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0500/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAn increasing number of images are generated daily, and images are gradually becoming a search target. Content-based image retrieval (CBIR) is helpful for users to express their requirements using an image query. Nevertheless, determining whether the retrieval system can provide convenient operation and relevant retrieval results is challenging. A CBIR system based on deep learning features was proposed in this study to effectively search and navigate images in digital articles. Convolutional neural networks (CNNs) were used as the feature extractors in the author's experiments. Using pretrained parameters, the training time and retrieval time were reduced. Different CNN features were extracted from the constructed image databases consisting of images taken from the National Palace Museum Journals Archive and were compared in the CBIR system. DenseNet201 achieved the best performance, with a top-10 mAP of 89% and a query time of 0.14 s. The CBIR homepage displayed image categories showing the content of the database and provided the default query images. After retrieval, the result showed the metadata of the retrieved images and links back to the original pages. With the interface and retrieval demonstration, a novel image-based reading mode can be established via the CBIR and links to the original images and contextual descriptions.Multimedia information retrieval using content-based image retrieval and context link for Chinese cultural artifacts
Chung-Ming Lo
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

An increasing number of images are generated daily, and images are gradually becoming a search target. Content-based image retrieval (CBIR) is helpful for users to express their requirements using an image query. Nevertheless, determining whether the retrieval system can provide convenient operation and relevant retrieval results is challenging. A CBIR system based on deep learning features was proposed in this study to effectively search and navigate images in digital articles.

Convolutional neural networks (CNNs) were used as the feature extractors in the author's experiments. Using pretrained parameters, the training time and retrieval time were reduced. Different CNN features were extracted from the constructed image databases consisting of images taken from the National Palace Museum Journals Archive and were compared in the CBIR system.

DenseNet201 achieved the best performance, with a top-10 mAP of 89% and a query time of 0.14 s.

The CBIR homepage displayed image categories showing the content of the database and provided the default query images. After retrieval, the result showed the metadata of the retrieved images and links back to the original pages.

With the interface and retrieval demonstration, a novel image-based reading mode can be established via the CBIR and links to the original images and contextual descriptions.

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Multimedia information retrieval using content-based image retrieval and context link for Chinese cultural artifacts10.1108/LHT-10-2022-0500Library Hi Tech2024-01-24© 2024 Emerald Publishing LimitedChung-Ming LoLibrary Hi Techahead-of-printahead-of-print2024-01-2410.1108/LHT-10-2022-0500https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2022-0500/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Effects of blockchain technology (BT) on the university librarians and libraries: a systematic literature review (SLR)https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2023-0486/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe objectives of the study were to identify the effects of blockchain technology (BT) on the university librarians, the impact of BT on the university library services and to reveal the challenges to adopt BT in the university libraries. A systematic literature review was applied to address the objectives of the study. Around 25 studies published in peer-reviewed journals were selected to conduct the study. The findings of the study revealed that blockchain technology (BT) has positive effects on the university librarians as it assists them in digital resources management, provision of integrated library services, effective records management and continued professional development. The study also displayed that BT has a positive impact on the university libraries through effective information management, user privacy, collaboration, technological innovation and access control. Results also revealed that technical issues, financial constraints, security problems, skill issues and sociocultural issues created challenges to adopt BT in the university libraries. The study has offered theoretical implications for future investigators through the provision of innovative literature on the prospectus and challenges associated with blockchain in the context of librarianship. The study has also provided practical implications for management bodies by offering recommendations for the successful adoption of blockchain in the university libraries. Additionally, a framework has been developed to adopt BT successfully in the university libraries for the delivery of smart library services to library patrons.Effects of blockchain technology (BT) on the university librarians and libraries: a systematic literature review (SLR)
Khurram Shahzad, Shakeel Ahmad Khan, Abid Iqbal
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The objectives of the study were to identify the effects of blockchain technology (BT) on the university librarians, the impact of BT on the university library services and to reveal the challenges to adopt BT in the university libraries.

A systematic literature review was applied to address the objectives of the study. Around 25 studies published in peer-reviewed journals were selected to conduct the study.

The findings of the study revealed that blockchain technology (BT) has positive effects on the university librarians as it assists them in digital resources management, provision of integrated library services, effective records management and continued professional development. The study also displayed that BT has a positive impact on the university libraries through effective information management, user privacy, collaboration, technological innovation and access control. Results also revealed that technical issues, financial constraints, security problems, skill issues and sociocultural issues created challenges to adopt BT in the university libraries.

The study has offered theoretical implications for future investigators through the provision of innovative literature on the prospectus and challenges associated with blockchain in the context of librarianship. The study has also provided practical implications for management bodies by offering recommendations for the successful adoption of blockchain in the university libraries. Additionally, a framework has been developed to adopt BT successfully in the university libraries for the delivery of smart library services to library patrons.

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Effects of blockchain technology (BT) on the university librarians and libraries: a systematic literature review (SLR)10.1108/LHT-10-2023-0486Library Hi Tech2024-02-29© 2024 Emerald Publishing LimitedKhurram ShahzadShakeel Ahmad KhanAbid IqbalLibrary Hi Techahead-of-printahead-of-print2024-02-2910.1108/LHT-10-2023-0486https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2023-0486/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Unleashing the power of AI: a systematic review of cutting-edge techniques in AI-enhanced scientometrics, webometrics and bibliometricshttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2023-0514/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields. By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles. (1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics. This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.Unleashing the power of AI: a systematic review of cutting-edge techniques in AI-enhanced scientometrics, webometrics and bibliometrics
Hamid Reza Saeidnia, Elaheh Hosseini, Shadi Abdoli, Marcel Ausloos
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

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Unleashing the power of AI: a systematic review of cutting-edge techniques in AI-enhanced scientometrics, webometrics and bibliometrics10.1108/LHT-10-2023-0514Library Hi Tech2024-02-12© 2024 Emerald Publishing LimitedHamid Reza SaeidniaElaheh HosseiniShadi AbdoliMarcel AusloosLibrary Hi Techahead-of-printahead-of-print2024-02-1210.1108/LHT-10-2023-0514https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2023-0514/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Effect of interface layout design of a public library website on information-seeking experience for elderly peoplehttps://www.emerald.com/insight/content/doi/10.1108/LHT-10-2023-0517/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestTargeting the common functions of the Zhejiang Library website, elderly individuals were invited to complete six experimental tasks on the improved website interfaces, and subjective data (PAD emotion scale and usability evaluation) and objective data (eye movement data) were recorded to verify the effects of graphic layout and navigation position on the information-seeking experience of elderly individuals. This study analyzes the effect of the graphic layout and navigation position of the Zhejiang Library’s website interface on the emotional state, perceived usability and information-seeking time of elderly individuals, with the aim of providing guidance and suggestions for the elderly-oriented reform of the public library website. The experimental results show that the graphic layout has a significant effect on the emotional state and perceived usability of elderly individuals, and the navigation position has a significant effect on the information-seeking time; the interaction between graphic layout and navigation position exerts a significant effect on the information-seeking time of elderly individuals. The eye movement data show that elderly individuals have a better information-seeking experience when the top navigation bar and image-text matched arrangement are used for the interface layout. This study adopts a new approach combining subjective data and eye movement data to evaluate the effect of the public library website’s interface layout on the information-seeking experience for older people. The findings can provide a theoretical basis and methodological support for the elderly-oriented reform of public library websites. They can also provide scientific design suggestions for age-friendly interface layouts of other Internet products and service applications.Effect of interface layout design of a public library website on information-seeking experience for elderly people
Zhichuan Tang, Xuan Xu, Feifei Wang, Lekai Zhang, Min Zhu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Targeting the common functions of the Zhejiang Library website, elderly individuals were invited to complete six experimental tasks on the improved website interfaces, and subjective data (PAD emotion scale and usability evaluation) and objective data (eye movement data) were recorded to verify the effects of graphic layout and navigation position on the information-seeking experience of elderly individuals.

This study analyzes the effect of the graphic layout and navigation position of the Zhejiang Library’s website interface on the emotional state, perceived usability and information-seeking time of elderly individuals, with the aim of providing guidance and suggestions for the elderly-oriented reform of the public library website.

The experimental results show that the graphic layout has a significant effect on the emotional state and perceived usability of elderly individuals, and the navigation position has a significant effect on the information-seeking time; the interaction between graphic layout and navigation position exerts a significant effect on the information-seeking time of elderly individuals. The eye movement data show that elderly individuals have a better information-seeking experience when the top navigation bar and image-text matched arrangement are used for the interface layout.

This study adopts a new approach combining subjective data and eye movement data to evaluate the effect of the public library website’s interface layout on the information-seeking experience for older people. The findings can provide a theoretical basis and methodological support for the elderly-oriented reform of public library websites. They can also provide scientific design suggestions for age-friendly interface layouts of other Internet products and service applications.

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Effect of interface layout design of a public library website on information-seeking experience for elderly people10.1108/LHT-10-2023-0517Library Hi Tech2024-02-06© 2024 Emerald Publishing LimitedZhichuan TangXuan XuFeifei WangLekai ZhangMin ZhuLibrary Hi Techahead-of-printahead-of-print2024-02-0610.1108/LHT-10-2023-0517https://www.emerald.com/insight/content/doi/10.1108/LHT-10-2023-0517/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
“Tinkering is underrated”: librarians' use of single-board computers and microcontrollers outside of makerspaceshttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2021-0378/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research seeks to better understand the potential uses of maker technologies, such as single-board computers and microcontrollers, more broadly within libraries and not simply confined to the makerspace. Through interviews with librarians creating such projects, this study illustrates their successes, challenges, means of acquiring the necessary skills and knowledge, as well as their perceptions of the broader benefits and challenges to other library and information science practitioners. This research study employed semistructured interviews with 12 librarians who have created projects with maker technologies for broader library use. Inductive qualitative analysis of the interview transcripts was conducted to identify themes of interest to the stated research questions. Librarians' projects included: displaying digital signage, hosting online public access catalog stations, tallying reference desk interactions, counting patrons at the gate and monitoring 3-D printing statistics, among others. Participants appreciated the low-cost, flexible and creative nature of such technologies, and though they also encountered technical and organizational challenges in their use, relayed a potential series of benefits to librarians and library staff were these technologies to be more widely used. Although significant research efforts have focused on aspects of makerspaces across all types of libraries, little work has formally collected and assessed library practitioners' work with maker technologies outside of the makerspace. Participants help detail the potential benefits of having a deeper understanding of this work, and the successes it could bring to librarians' work.“Tinkering is underrated”: librarians' use of single-board computers and microcontrollers outside of makerspaces
Monica Grace Maceli
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research seeks to better understand the potential uses of maker technologies, such as single-board computers and microcontrollers, more broadly within libraries and not simply confined to the makerspace. Through interviews with librarians creating such projects, this study illustrates their successes, challenges, means of acquiring the necessary skills and knowledge, as well as their perceptions of the broader benefits and challenges to other library and information science practitioners.

This research study employed semistructured interviews with 12 librarians who have created projects with maker technologies for broader library use. Inductive qualitative analysis of the interview transcripts was conducted to identify themes of interest to the stated research questions.

Librarians' projects included: displaying digital signage, hosting online public access catalog stations, tallying reference desk interactions, counting patrons at the gate and monitoring 3-D printing statistics, among others. Participants appreciated the low-cost, flexible and creative nature of such technologies, and though they also encountered technical and organizational challenges in their use, relayed a potential series of benefits to librarians and library staff were these technologies to be more widely used.

Although significant research efforts have focused on aspects of makerspaces across all types of libraries, little work has formally collected and assessed library practitioners' work with maker technologies outside of the makerspace. Participants help detail the potential benefits of having a deeper understanding of this work, and the successes it could bring to librarians' work.

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“Tinkering is underrated”: librarians' use of single-board computers and microcontrollers outside of makerspaces10.1108/LHT-11-2021-0378Library Hi Tech2022-03-01© 2022 Emerald Publishing LimitedMonica Grace MaceliLibrary Hi Techahead-of-printahead-of-print2022-03-0110.1108/LHT-11-2021-0378https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2021-0378/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Impact of social media use on critical thinking ability of university studentshttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2021-0393/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research aims to discover the relationship between social media usage (SMU) and the critical thinking ability (CTA) of university students, and to answer the question that whether social media dependence (SMD) affects the development of CTA, and thus providing a reference for the social media access strategy of academic libraries from the perspective of media information literacy. The research data were collected via 300 valid questionnaires whose respondents are students from three universities in China. Multistage stratified cluster sampling method was used to select the respondents, which guarantees statistical representativeness. A pre-test was conducted to ensure the validity of the questionnaire. It is shown that the total score of CTA and the six sub-dimensions are significantly positively correlated with SMU, but strongly negatively correlated with SMD. Based on the mediating effect testing, it is discovered that the degree of SMD can affect the promoting relations between the usage intensity of social media (UISM) and CTA. Clearly, SMU is a double-edged sword. While it narrows the digital gap in terms of accessibility, it widens the digital gap in terms of usage. The differences in SMU have a significant impact on the development of CTA of university students. This inspires us to consider the ability of “using social media in a balanced way” as an important evaluation and training direction when inquiring media literacy. As social media is becoming a critical channel in cultivating individual's thinking skills, it is highly suggested that the amount of time spent on reading fragmented information on the internet should be controlled.Impact of social media use on critical thinking ability of university students
Li Cheng, Gege Fang, Xiaoxue Zhang, Yuxiang Lv, Lingxuan Liu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research aims to discover the relationship between social media usage (SMU) and the critical thinking ability (CTA) of university students, and to answer the question that whether social media dependence (SMD) affects the development of CTA, and thus providing a reference for the social media access strategy of academic libraries from the perspective of media information literacy.

The research data were collected via 300 valid questionnaires whose respondents are students from three universities in China. Multistage stratified cluster sampling method was used to select the respondents, which guarantees statistical representativeness. A pre-test was conducted to ensure the validity of the questionnaire.

It is shown that the total score of CTA and the six sub-dimensions are significantly positively correlated with SMU, but strongly negatively correlated with SMD. Based on the mediating effect testing, it is discovered that the degree of SMD can affect the promoting relations between the usage intensity of social media (UISM) and CTA. Clearly, SMU is a double-edged sword. While it narrows the digital gap in terms of accessibility, it widens the digital gap in terms of usage.

The differences in SMU have a significant impact on the development of CTA of university students. This inspires us to consider the ability of “using social media in a balanced way” as an important evaluation and training direction when inquiring media literacy. As social media is becoming a critical channel in cultivating individual's thinking skills, it is highly suggested that the amount of time spent on reading fragmented information on the internet should be controlled.

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Impact of social media use on critical thinking ability of university students10.1108/LHT-11-2021-0393Library Hi Tech2022-08-10© 2022 Emerald Publishing LimitedLi ChengGege FangXiaoxue ZhangYuxiang LvLingxuan LiuLibrary Hi Techahead-of-printahead-of-print2022-08-1010.1108/LHT-11-2021-0393https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2021-0393/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Information and communication technologies’ (ICTs) use among farmers in Qena Governorate of Upper Egypthttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2021-0422/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe key purpose of this study is to investigate the use of information and communication technologies (ICTs) among farmers in Qena Governorate of Upper Egypt farmers' use of ICTs in Qena Governorate, one of Upper Egypt's largest agricultural governorates. A semi-structured questionnaire survey, as well as some personal interviews, was used to collect detailed information about farmers' use or non-use of ICTs. The study's participants included 131 farmers. Respondents were mostly males who were married and had an average level of education and age. The majority of respondents had 26–30 years of work experience. The majority of them used ICTs for 4–6 h per day. All respondents used ICTs to learn about new agricultural products, increase land productivity, gather market information and learn about livestock. Mobile phones, social media and the internet were identified as the most useful and simple-to-use technologies by all respondents. Illiteracy, a lack of knowledge and awareness and the cost of CITs were discovered to have an impact on respondents' use of information. The significance of this study stems from the hotly debated topic of the need to use technology tools in agriculture, whether for agricultural work or communication with others. ICTs provide a variety of new ways to communicate and exchange information and knowledge.Information and communication technologies’ (ICTs) use among farmers in Qena Governorate of Upper Egypt
Essam Mansour
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The key purpose of this study is to investigate the use of information and communication technologies (ICTs) among farmers in Qena Governorate of Upper Egypt farmers' use of ICTs in Qena Governorate, one of Upper Egypt's largest agricultural governorates.

A semi-structured questionnaire survey, as well as some personal interviews, was used to collect detailed information about farmers' use or non-use of ICTs. The study's participants included 131 farmers.

Respondents were mostly males who were married and had an average level of education and age. The majority of respondents had 26–30 years of work experience. The majority of them used ICTs for 4–6 h per day. All respondents used ICTs to learn about new agricultural products, increase land productivity, gather market information and learn about livestock. Mobile phones, social media and the internet were identified as the most useful and simple-to-use technologies by all respondents. Illiteracy, a lack of knowledge and awareness and the cost of CITs were discovered to have an impact on respondents' use of information.

The significance of this study stems from the hotly debated topic of the need to use technology tools in agriculture, whether for agricultural work or communication with others. ICTs provide a variety of new ways to communicate and exchange information and knowledge.

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Information and communication technologies’ (ICTs) use among farmers in Qena Governorate of Upper Egypt10.1108/LHT-11-2021-0422Library Hi Tech2023-01-09© 2022 Emerald Publishing LimitedEssam MansourLibrary Hi Techahead-of-printahead-of-print2023-01-0910.1108/LHT-11-2021-0422https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2021-0422/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Research into influencing factors in user experiences of university mobile libraries based on mobile learning modehttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2021-0423/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to analyse and discuss the influencing factors of user experience in university mobile libraries and the improvement path of user experience in the context of mobile learning. The study adopted the grounded theory research method, and the sample included 28 students from five universities, with mobile libraries as the research objects and semi-structured interview as data acquisition method. A step-by-step coding analysis of the original interview materials was conducted, which comprehensively identified the main concerns and problems encountered by users of the university mobile library apps especially in the mobile learning behaviour mode, and then a theoretical model of the influencing factors of the app user experience of the university mobile library was constructed. A theoretical model of influencing factors was constructed, which determined that system quality, interaction quality, content quality, interface quality and function quality were the key elements of mobile library user experiences. Furthermore, based on the research results and user feedback obtained in the research process, the content and key points relating to the user experience can be elaborated in detail. In addition, this study was able to determine users' perspectives and their behavioural characteristics when engaging in mobile learning. This study establishes a theoretical model of the factors influencing of the user experience of university mobile libraries based on mobile learning, which could provide a valuable reference for the design of other programs and strategies to promote user learning experiences of mobile library app in colleges and universities.Research into influencing factors in user experiences of university mobile libraries based on mobile learning mode
Tan Jiang, Guang Luo, Zikai Wang, Wenhui Yu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to analyse and discuss the influencing factors of user experience in university mobile libraries and the improvement path of user experience in the context of mobile learning.

The study adopted the grounded theory research method, and the sample included 28 students from five universities, with mobile libraries as the research objects and semi-structured interview as data acquisition method. A step-by-step coding analysis of the original interview materials was conducted, which comprehensively identified the main concerns and problems encountered by users of the university mobile library apps especially in the mobile learning behaviour mode, and then a theoretical model of the influencing factors of the app user experience of the university mobile library was constructed.

A theoretical model of influencing factors was constructed, which determined that system quality, interaction quality, content quality, interface quality and function quality were the key elements of mobile library user experiences. Furthermore, based on the research results and user feedback obtained in the research process, the content and key points relating to the user experience can be elaborated in detail. In addition, this study was able to determine users' perspectives and their behavioural characteristics when engaging in mobile learning.

This study establishes a theoretical model of the factors influencing of the user experience of university mobile libraries based on mobile learning, which could provide a valuable reference for the design of other programs and strategies to promote user learning experiences of mobile library app in colleges and universities.

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Research into influencing factors in user experiences of university mobile libraries based on mobile learning mode10.1108/LHT-11-2021-0423Library Hi Tech2022-09-21© 2022 Emerald Publishing LimitedTan JiangGuang LuoZikai WangWenhui YuLibrary Hi Techahead-of-printahead-of-print2022-09-2110.1108/LHT-11-2021-0423https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2021-0423/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Evaluation and optimization of supply factor efficiency for public digital cultural services in Chinahttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2022-0521/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis investigation is designed to quantify and appraise the efficiency of resource distribution in the provision of public digital cultural services in China. By acknowledging and incorporating the realities of China's social development, the authors offer recommendations for enhancement derived from the study’s data analysis results. The research zeroes in on the dissection and analysis of the integral elements that structure the provision of public digital cultural services, and it concentrates on the associated data computation. The conclusions drawn herein are expected to serve as a significant point of reference for ongoing academic investigations and practical explorations in affiliated domains. In this research, the authors utilize a hybrid methodology to meticulously evaluate the efficiency of the components that underpin the provision of public digital cultural services (PDCS) in China. The authors embark on deconstructing the various constituents within the PDCS supply framework, conducting in-depth analyses and providing cogent interpretations of each integral element. Subsequently, the authors deploy the well-regarded SBM super-efficiency model to ascertain the operational efficiency of these components. Ultimately, through a comprehensive interpretation of the measured data and the integration of extant societal development conditions, the authors put forth relevant recommendations. The provision of PDCS in China as of 2021 had been characterized by overall good efficiency, significant regional disparity and a disconnect between inputs and outputs with weak correlations to economic and demographic data. In this study, the authors provide an exhaustive deconstruction and interpretation of the public digital cultural services supply system, thereby proposing a framework for evaluating the efficiency of supply element allocation. Additionally, the authors have determined a set of distinct measurable indicators that are readily accessible for open collection. Notably, this analytical and evaluative framework designed for element analysis and measurement may also find application in efficiency evaluation research of the supply systems of other related cultural endeavors.Evaluation and optimization of supply factor efficiency for public digital cultural services in China
Zijian Wang, Qingong Shi, Qunzhe Ding
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This investigation is designed to quantify and appraise the efficiency of resource distribution in the provision of public digital cultural services in China. By acknowledging and incorporating the realities of China's social development, the authors offer recommendations for enhancement derived from the study’s data analysis results. The research zeroes in on the dissection and analysis of the integral elements that structure the provision of public digital cultural services, and it concentrates on the associated data computation. The conclusions drawn herein are expected to serve as a significant point of reference for ongoing academic investigations and practical explorations in affiliated domains.

In this research, the authors utilize a hybrid methodology to meticulously evaluate the efficiency of the components that underpin the provision of public digital cultural services (PDCS) in China. The authors embark on deconstructing the various constituents within the PDCS supply framework, conducting in-depth analyses and providing cogent interpretations of each integral element. Subsequently, the authors deploy the well-regarded SBM super-efficiency model to ascertain the operational efficiency of these components. Ultimately, through a comprehensive interpretation of the measured data and the integration of extant societal development conditions, the authors put forth relevant recommendations.

The provision of PDCS in China as of 2021 had been characterized by overall good efficiency, significant regional disparity and a disconnect between inputs and outputs with weak correlations to economic and demographic data.

In this study, the authors provide an exhaustive deconstruction and interpretation of the public digital cultural services supply system, thereby proposing a framework for evaluating the efficiency of supply element allocation. Additionally, the authors have determined a set of distinct measurable indicators that are readily accessible for open collection. Notably, this analytical and evaluative framework designed for element analysis and measurement may also find application in efficiency evaluation research of the supply systems of other related cultural endeavors.

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Evaluation and optimization of supply factor efficiency for public digital cultural services in China10.1108/LHT-11-2022-0521Library Hi Tech2023-08-31© 2023 Emerald Publishing LimitedZijian WangQingong ShiQunzhe DingLibrary Hi Techahead-of-printahead-of-print2023-08-3110.1108/LHT-11-2022-0521https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2022-0521/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Information security and technical issues of cloud storage services: a qualitative study on university students in Hong Konghttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2022-0533/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAlthough cloud storage services can bring users valuable convenience, they can be technically complex and intrinsically insecure. Therefore, this research explores the concerns of academic users regarding cloud security and technical issues and how such problems may influence their continuous use in daily life. This qualitative study used a semi-structured interview approach comprising six main open-ended questions to explore the information security and technical issues for the continuous use of cloud storage services by 20 undergraduate students in Hong Kong. The analysis revealed cloud storage service users' major security and technical concerns, particularly synchronization and backup issues, were the most significant technical barrier to the continuing personal use of cloud storage services. Existing literature has focused on how cloud computing services could bring benefits and security and privacy-related risks to organizations rather than security and technical issues of personal use, especially in the Asian academic context.Information security and technical issues of cloud storage services: a qualitative study on university students in Hong Kong
Shing Cheong Hui, Ming Yung Kwok, Elaine W.S. Kong, Dickson K.W. Chiu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Although cloud storage services can bring users valuable convenience, they can be technically complex and intrinsically insecure. Therefore, this research explores the concerns of academic users regarding cloud security and technical issues and how such problems may influence their continuous use in daily life.

This qualitative study used a semi-structured interview approach comprising six main open-ended questions to explore the information security and technical issues for the continuous use of cloud storage services by 20 undergraduate students in Hong Kong.

The analysis revealed cloud storage service users' major security and technical concerns, particularly synchronization and backup issues, were the most significant technical barrier to the continuing personal use of cloud storage services.

Existing literature has focused on how cloud computing services could bring benefits and security and privacy-related risks to organizations rather than security and technical issues of personal use, especially in the Asian academic context.

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Information security and technical issues of cloud storage services: a qualitative study on university students in Hong Kong10.1108/LHT-11-2022-0533Library Hi Tech2023-03-03© 2023 Emerald Publishing LimitedShing Cheong HuiMing Yung KwokElaine W.S. KongDickson K.W. ChiuLibrary Hi Techahead-of-printahead-of-print2023-03-0310.1108/LHT-11-2022-0533https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2022-0533/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Knowledge mining and graph visualization of ancient Chinese scientific and technological documents bibliographic summaries based on digital humanitieshttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2022-0538/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to extract knowledge of ancient Chinese scientific and technological documents bibliographic summaries (STDBS) and provide the knowledge graph (KG) comprehensively and systematically. By presenting the relationship among content, discipline, and author, this study focuses on providing services for knowledge discovery of ancient Chinese scientific and technological documents. This study compiles ancient Chinese STDBS and designs a knowledge mining and graph visualization framework. The authors define the summaries' entities, attributes, and relationships for knowledge representation, use deep learning techniques such as BERT-BiLSTM-CRF models and rules for knowledge extraction, unify the representation of entities for knowledge fusion, and use Neo4j and other visualization techniques for KG construction and application. This study presents the generation, distribution, and evolution of ancient Chinese agricultural scientific and technological knowledge in visualization graphs. The knowledge mining and graph visualization framework is feasible and effective. The BERT-BiLSTM-CRF model has domain adaptability and accuracy. The knowledge generation of ancient Chinese agricultural scientific and technological documents has distinctive time features. The knowledge distribution is uneven and concentrated, mainly concentrated on C1-Planting and cultivation, C2-Silkworm, and C3-Mulberry and water conservancy. The knowledge evolution is apparent, and differentiation and integration coexist. This study is the first to visually present the knowledge connotation and association of ancient Chinese STDBS. It solves the problems of the lack of in-depth knowledge mining and connotation visualization of ancient Chinese STDBS.Knowledge mining and graph visualization of ancient Chinese scientific and technological documents bibliographic summaries based on digital humanities
Xiang Zheng, Mingjie Li, Ze Wan, Yan Zhang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to extract knowledge of ancient Chinese scientific and technological documents bibliographic summaries (STDBS) and provide the knowledge graph (KG) comprehensively and systematically. By presenting the relationship among content, discipline, and author, this study focuses on providing services for knowledge discovery of ancient Chinese scientific and technological documents.

This study compiles ancient Chinese STDBS and designs a knowledge mining and graph visualization framework. The authors define the summaries' entities, attributes, and relationships for knowledge representation, use deep learning techniques such as BERT-BiLSTM-CRF models and rules for knowledge extraction, unify the representation of entities for knowledge fusion, and use Neo4j and other visualization techniques for KG construction and application. This study presents the generation, distribution, and evolution of ancient Chinese agricultural scientific and technological knowledge in visualization graphs.

The knowledge mining and graph visualization framework is feasible and effective. The BERT-BiLSTM-CRF model has domain adaptability and accuracy. The knowledge generation of ancient Chinese agricultural scientific and technological documents has distinctive time features. The knowledge distribution is uneven and concentrated, mainly concentrated on C1-Planting and cultivation, C2-Silkworm, and C3-Mulberry and water conservancy. The knowledge evolution is apparent, and differentiation and integration coexist.

This study is the first to visually present the knowledge connotation and association of ancient Chinese STDBS. It solves the problems of the lack of in-depth knowledge mining and connotation visualization of ancient Chinese STDBS.

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Knowledge mining and graph visualization of ancient Chinese scientific and technological documents bibliographic summaries based on digital humanities10.1108/LHT-11-2022-0538Library Hi Tech2023-05-29© 2023 Emerald Publishing LimitedXiang ZhengMingjie LiZe WanYan ZhangLibrary Hi Techahead-of-printahead-of-print2023-05-2910.1108/LHT-11-2022-0538https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2022-0538/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
What's up in WhatsApp research: a comprehensive analysis of 12,947 papers indexed in Dimensions.aihttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2023-0525/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestIn recent years, instant messaging platforms like WhatsApp have gained substantial popularity in both academic and practical domains. However, despite this growth, there is a lack of a comprehensive overview of the literature in this field. The primary purpose of this study is to bridge this gap by analyzing a substantial dataset of 12,947 articles retrieved from the Dimensions.ai, database spanning from 2011 to March 2023. To achieve the authors' objective, the authors employ bibliometric analysis techniques. The authors delve into various bibliometric networks, including citation networks, co-citation networks, collaboration networks, keywords and bibliographic couplings. These methods allow for the uncovering of the social and conceptual structures within the academic discourse surrounding WhatsApp. The authors' analysis reveals several significant findings. Firstly, the authors observe a remarkable and continuous growth in the number of academic studies dedicated to WhatsApp over time. Notably, two prevalent themes emerge: the impact of coronavirus disease 2019 (COVID-19) and the role of WhatsApp in the realm of social media. Furthermore, the authors' study highlights diverse applications of WhatsApp, including its utilization in education and learning, as a communication tool, in medical education, cyberpsychology, security, psychology and behavioral learning. This paper contributes to the field by offering a comprehensive overview of the scholarly research landscape related to WhatsApp. The findings not only illuminate the burgeoning interest in WhatsApp among researchers but also provide insights into the diverse domains where WhatsApp is making an impact. The analysis of bibliometric networks offers a unique perspective on the social and conceptual structures within this field, shedding light on emerging trends and influential research. This study thus serves as a valuable resource for scholars, practitioners and policymakers seeking to navigate the evolving landscape of WhatsApp research. The study will also be useful for researchers interested in conducting bibliometric analysis using Dimensions.ai, a free database.What's up in WhatsApp research: a comprehensive analysis of 12,947 papers indexed in Dimensions.ai
Manoj Kumar Verma, Mayank Yuvaraj
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

In recent years, instant messaging platforms like WhatsApp have gained substantial popularity in both academic and practical domains. However, despite this growth, there is a lack of a comprehensive overview of the literature in this field. The primary purpose of this study is to bridge this gap by analyzing a substantial dataset of 12,947 articles retrieved from the Dimensions.ai, database spanning from 2011 to March 2023.

To achieve the authors' objective, the authors employ bibliometric analysis techniques. The authors delve into various bibliometric networks, including citation networks, co-citation networks, collaboration networks, keywords and bibliographic couplings. These methods allow for the uncovering of the social and conceptual structures within the academic discourse surrounding WhatsApp.

The authors' analysis reveals several significant findings. Firstly, the authors observe a remarkable and continuous growth in the number of academic studies dedicated to WhatsApp over time. Notably, two prevalent themes emerge: the impact of coronavirus disease 2019 (COVID-19) and the role of WhatsApp in the realm of social media. Furthermore, the authors' study highlights diverse applications of WhatsApp, including its utilization in education and learning, as a communication tool, in medical education, cyberpsychology, security, psychology and behavioral learning.

This paper contributes to the field by offering a comprehensive overview of the scholarly research landscape related to WhatsApp. The findings not only illuminate the burgeoning interest in WhatsApp among researchers but also provide insights into the diverse domains where WhatsApp is making an impact. The analysis of bibliometric networks offers a unique perspective on the social and conceptual structures within this field, shedding light on emerging trends and influential research. This study thus serves as a valuable resource for scholars, practitioners and policymakers seeking to navigate the evolving landscape of WhatsApp research. The study will also be useful for researchers interested in conducting bibliometric analysis using Dimensions.ai, a free database.

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What's up in WhatsApp research: a comprehensive analysis of 12,947 papers indexed in Dimensions.ai10.1108/LHT-11-2023-0525Library Hi Tech2023-12-05© 2023 Emerald Publishing LimitedManoj Kumar VermaMayank YuvarajLibrary Hi Techahead-of-printahead-of-print2023-12-0510.1108/LHT-11-2023-0525https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2023-0525/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
How do online reviews influence answer adoption in virtual Q&A communities? A signaling theory perspectivehttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2023-0534/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this study is to explore the impact of online reviews on answer adoption in virtual Q&A communities, with an eye toward extending knowledge exchange and community management. Online reviews contain rich cognitive and emotional information about community members regarding the provided answers. As feedback information on answers, it is crucial to explore how online reviews affect answer adoption. Based on signaling theory, a research model reflecting the influence of online reviews on answer adoption is established and empirically examined by using secondary data with 69,597 Q&A data and user data collected from Zhihu. Meanwhile, the moderating effects of the informational and emotional consistency of reviews and answers are examined. The negative binomial regression results show that both answer-related signals (informational support and emotional support) and answerers-related signals (answerers’ reputations and expertise) positively impact answer adoption. The informational consistency of reviews and answers negatively moderates the relationships among information support, emotional support and answer adoption but positively moderates the effect of answerers’ expertise on answer adoption. Furthermore, the emotional consistency of reviews and answers positively moderates the effect of information support and answerers’ reputations on answer adoption. Although previous studies have investigated the impacts of answer content, answer source credibility and personal characteristics of knowledge seekers on answer adoption in virtual Q&A communities, few have examined the impact of online reviews on answer adoption. This study explores the impacts of informational and emotional feedback in online reviews on answer adoption from a signaling theory perspective. The results not only provide unique ideas for community managers to optimize community design and operation but also inspire community users to provide or utilize knowledge, thereby reducing knowledge search costs and improving knowledge exchange efficiency.How do online reviews influence answer adoption in virtual Q&A communities? A signaling theory perspective
Jing Liang, Ming Li, Xuanya Shao
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this study is to explore the impact of online reviews on answer adoption in virtual Q&A communities, with an eye toward extending knowledge exchange and community management.

Online reviews contain rich cognitive and emotional information about community members regarding the provided answers. As feedback information on answers, it is crucial to explore how online reviews affect answer adoption. Based on signaling theory, a research model reflecting the influence of online reviews on answer adoption is established and empirically examined by using secondary data with 69,597 Q&A data and user data collected from Zhihu. Meanwhile, the moderating effects of the informational and emotional consistency of reviews and answers are examined.

The negative binomial regression results show that both answer-related signals (informational support and emotional support) and answerers-related signals (answerers’ reputations and expertise) positively impact answer adoption. The informational consistency of reviews and answers negatively moderates the relationships among information support, emotional support and answer adoption but positively moderates the effect of answerers’ expertise on answer adoption. Furthermore, the emotional consistency of reviews and answers positively moderates the effect of information support and answerers’ reputations on answer adoption.

Although previous studies have investigated the impacts of answer content, answer source credibility and personal characteristics of knowledge seekers on answer adoption in virtual Q&A communities, few have examined the impact of online reviews on answer adoption. This study explores the impacts of informational and emotional feedback in online reviews on answer adoption from a signaling theory perspective. The results not only provide unique ideas for community managers to optimize community design and operation but also inspire community users to provide or utilize knowledge, thereby reducing knowledge search costs and improving knowledge exchange efficiency.

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How do online reviews influence answer adoption in virtual Q&A communities? A signaling theory perspective10.1108/LHT-11-2023-0534Library Hi Tech2024-03-28© 2024 Emerald Publishing LimitedJing LiangMing LiXuanya ShaoLibrary Hi Techahead-of-printahead-of-print2024-03-2810.1108/LHT-11-2023-0534https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2023-0534/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Sustainable education on improving the quality of peer assessment: design and implementation of an online deep learning-based peer assessment systemhttps://www.emerald.com/insight/content/doi/10.1108/LHT-11-2023-0569/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAs global issues such as climate change, economic growth, social equality and the wealth gap are widely discussed, education for sustainable development (ESD) allows every human being to acquire the knowledge, skills, attitudes and values necessary to shape a sustainable future. It also requires participatory teaching and learning methods that motivate and empower learners to change their behavior and take action for sustainable development. Teachers have begun rating pupils based on peer assessment for open evaluation. Peer assessment enables students to transition from passive to active feedback recipients. The assessors improve critical thinking and encourage introspection, resulting in more significant recommendations. However, the quality of peer assessment is variable, resulting in reviewers not recognizing the remarks of other reviewers, therefore the benefits of peer assessment cannot be fulfilled. In the past, researchers frequently employed post-event questionnaires to examine the effects of peer assessment on learning effectiveness, which did not accurately reflect the quality of peer assessment in real time. This study employs a multi-label model and develops a self-feedback system in order to use the AIOLPA system in the classroom to enhance students' learning efficacy and the validity of peer assessment. The research findings indicate that the better peer assessment through the rapid feedback system, for the evaluator, encourages more self-reflection and attempts to provide more ideas, so bringing the peer rating closer to the instructor rating and assisting the evaluator. Improve self-evaluation and critical thinking for the evaluator, peers make suggestions and comments to help improve the work and support the growth of students' learning effectiveness, which can lead to more suggestions and an increase in the work’s quality. ESD consequently promotes competencies like critical thinking, imagining future scenarios and making decisions in a collaborative way. This study builds an online peer assessment system with a self-feedback mechanism capable of classifying peer comments, comparing them with scores in a consistent manner and providing prompt feedback to critics.Sustainable education on improving the quality of peer assessment: design and implementation of an online deep learning-based peer assessment system
Kuan-Cheng Lin, Nien-Tzu Li, Mu-Yen Chen
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

As global issues such as climate change, economic growth, social equality and the wealth gap are widely discussed, education for sustainable development (ESD) allows every human being to acquire the knowledge, skills, attitudes and values necessary to shape a sustainable future. It also requires participatory teaching and learning methods that motivate and empower learners to change their behavior and take action for sustainable development. Teachers have begun rating pupils based on peer assessment for open evaluation. Peer assessment enables students to transition from passive to active feedback recipients. The assessors improve critical thinking and encourage introspection, resulting in more significant recommendations. However, the quality of peer assessment is variable, resulting in reviewers not recognizing the remarks of other reviewers, therefore the benefits of peer assessment cannot be fulfilled. In the past, researchers frequently employed post-event questionnaires to examine the effects of peer assessment on learning effectiveness, which did not accurately reflect the quality of peer assessment in real time.

This study employs a multi-label model and develops a self-feedback system in order to use the AIOLPA system in the classroom to enhance students' learning efficacy and the validity of peer assessment.

The research findings indicate that the better peer assessment through the rapid feedback system, for the evaluator, encourages more self-reflection and attempts to provide more ideas, so bringing the peer rating closer to the instructor rating and assisting the evaluator. Improve self-evaluation and critical thinking for the evaluator, peers make suggestions and comments to help improve the work and support the growth of students' learning effectiveness, which can lead to more suggestions and an increase in the work’s quality.

ESD consequently promotes competencies like critical thinking, imagining future scenarios and making decisions in a collaborative way. This study builds an online peer assessment system with a self-feedback mechanism capable of classifying peer comments, comparing them with scores in a consistent manner and providing prompt feedback to critics.

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Sustainable education on improving the quality of peer assessment: design and implementation of an online deep learning-based peer assessment system10.1108/LHT-11-2023-0569Library Hi Tech2024-01-25© 2024 Emerald Publishing LimitedKuan-Cheng LinNien-Tzu LiMu-Yen ChenLibrary Hi Techahead-of-printahead-of-print2024-01-2510.1108/LHT-11-2023-0569https://www.emerald.com/insight/content/doi/10.1108/LHT-11-2023-0569/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
University life has gone digital: influences of institutional mobile social network use during the COVID-19 emergencyhttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0458/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestMany universities implemented institutional social networking apps as an alternative to in-person social experiences during the COVID-19 pandemic. Therefore, this study aims to explore previously identified factors that influenced intentions to form collective actions, also known as we-intentions, on such social networking apps and their influence on student satisfaction with the app artifact. Students from across a large university were invited to participate in a survey. Responses from 915 students who reported using the app were analyzed using a maximum likelihood covariance-based structural equation model. Analysis was conducted using the R programming language's psych, lavaan, and semTools packages. The authors found that we-intentions are positively associated with recent app use and with student satisfaction with the app. Group norms were found to significantly influence the formation of we-intentions, while social identity is positively associated with both we-intentions and satisfaction. The paper provides evidence that past research generalizes to the context of university mobile social networks and identifies a relationship between we-intentions and satisfaction in this context. It also provides practical insight into factors that influence we-intentions, and subsequently students' online education experience, in the context of a university's institutional mobile social network.University life has gone digital: influences of institutional mobile social network use during the COVID-19 emergency
Colin Conrad, Rachel Moylan, Gabriel O. Diaz
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Many universities implemented institutional social networking apps as an alternative to in-person social experiences during the COVID-19 pandemic. Therefore, this study aims to explore previously identified factors that influenced intentions to form collective actions, also known as we-intentions, on such social networking apps and their influence on student satisfaction with the app artifact.

Students from across a large university were invited to participate in a survey. Responses from 915 students who reported using the app were analyzed using a maximum likelihood covariance-based structural equation model. Analysis was conducted using the R programming language's psych, lavaan, and semTools packages.

The authors found that we-intentions are positively associated with recent app use and with student satisfaction with the app. Group norms were found to significantly influence the formation of we-intentions, while social identity is positively associated with both we-intentions and satisfaction.

The paper provides evidence that past research generalizes to the context of university mobile social networks and identifies a relationship between we-intentions and satisfaction in this context. It also provides practical insight into factors that influence we-intentions, and subsequently students' online education experience, in the context of a university's institutional mobile social network.

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University life has gone digital: influences of institutional mobile social network use during the COVID-19 emergency10.1108/LHT-12-2021-0458Library Hi Tech2022-09-08© 2022 Emerald Publishing LimitedColin ConradRachel MoylanGabriel O. DiazLibrary Hi Techahead-of-printahead-of-print2022-09-0810.1108/LHT-12-2021-0458https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0458/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Exploring the factors of students' intention to participate in AI software developmenthttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0480/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAlthough many universities have begun to provide artificial intelligence (AI)-related courses for students, the influence of the course on students' intention to participate in the development of AI-related products/services needs to be verified. In order to explore the factors that influence students' participation in AI services and system development, this study uses self-efficacy, AI literacy, and the theory of planned behaviour (TPB) to investigate students' intention to engage in AI software development. The questionnaire was distributed online to collect university students' responses in central Taiwan. The research model and eleven hypotheses are tested using 151 responses. The testing process adopted SmartPLS 3.3 and SPSS 26 software. AI programming self-efficacy, AI literacy, and course satisfaction directly affected the intention to participate in AI software development. Moreover, course playfulness significantly affected course satisfaction and AI literacy. However, course usefulness positively affected course satisfaction but did not significantly affect AI literacy and AI programming self-efficacy. The model improves our comprehension of the influence of AI literacy and AI programming self-efficacy on the intention. Moreover, the effects of AI course usefulness and playfulness on literacy and self-efficacy were verified. The findings and insights can help design the AI-related course and encourage university students to participate in AI software development. The study concludes with suggestions for course design for AI course instructors or related educators.Exploring the factors of students' intention to participate in AI software development
Shih-Yeh Chen, Yu-Sheng Su, Ya-Yuan Ku, Chin-Feng Lai, Kuo-Lun Hsiao
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Although many universities have begun to provide artificial intelligence (AI)-related courses for students, the influence of the course on students' intention to participate in the development of AI-related products/services needs to be verified. In order to explore the factors that influence students' participation in AI services and system development, this study uses self-efficacy, AI literacy, and the theory of planned behaviour (TPB) to investigate students' intention to engage in AI software development.

The questionnaire was distributed online to collect university students' responses in central Taiwan. The research model and eleven hypotheses are tested using 151 responses. The testing process adopted SmartPLS 3.3 and SPSS 26 software.

AI programming self-efficacy, AI literacy, and course satisfaction directly affected the intention to participate in AI software development. Moreover, course playfulness significantly affected course satisfaction and AI literacy. However, course usefulness positively affected course satisfaction but did not significantly affect AI literacy and AI programming self-efficacy.

The model improves our comprehension of the influence of AI literacy and AI programming self-efficacy on the intention. Moreover, the effects of AI course usefulness and playfulness on literacy and self-efficacy were verified. The findings and insights can help design the AI-related course and encourage university students to participate in AI software development. The study concludes with suggestions for course design for AI course instructors or related educators.

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Exploring the factors of students' intention to participate in AI software development10.1108/LHT-12-2021-0480Library Hi Tech2022-06-21© 2022 Emerald Publishing LimitedShih-Yeh ChenYu-Sheng SuYa-Yuan KuChin-Feng LaiKuo-Lun HsiaoLibrary Hi Techahead-of-printahead-of-print2022-06-2110.1108/LHT-12-2021-0480https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0480/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
A study on the learning behaviors and needs of design-maker communities of practice in the era of mobile learninghttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0486/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe combination of mobile devices and innovative tools offers new possibilities for the development of a community of practice for design makers. Mobile learning has become an essential method that design makers should adopt. The main content of this study is to explore the characteristics of learning behaviors and learning needs of creative design makers' group in forming a community of practice in the era of mobile learning. This study conducted questionnaire research on the potentially associated or directly associated population of design makers. The process of the study also combined observational and interview studies to compensate for the lack of questionnaire research. Based on the support of mobile learning technology, design makers share and co-create to achieve individual development and evolution of learning organizations, and produce creative value. Design-maker communities of practice form common communities in the framework of informal organizations to support continuous individual learning. Convergent interests or concerns in making things, real-world contexts based on makerspaces and hands-on practice based on real projects are the basis for forming design-maker communities of practice. A variety of open-source hardware, software and platforms that can support mobile learning are important for the development of design-maker communities of practice. The design-maker community of practice needs group factors, activity development, physical and technical resources, spatial support and institutional norms to enhance learning behaviors and satisfy learning needs. The discovery and construction of these associated factors can help creative design practitioners form a lasting and virtuous organizational development. This study facilitates the formation of a social network for learning and knowledge sharing among design-maker communities of practice. It enhances the innovation ability and enthusiasm of design makers according to the population characteristics and learning needs of design makers. This study also facilitates the generation of a positive adaptive maker culture and maker spirit within design maker organizations.A study on the learning behaviors and needs of design-maker communities of practice in the era of mobile learning
Xin Zhang, Jieming Hu
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The combination of mobile devices and innovative tools offers new possibilities for the development of a community of practice for design makers. Mobile learning has become an essential method that design makers should adopt. The main content of this study is to explore the characteristics of learning behaviors and learning needs of creative design makers' group in forming a community of practice in the era of mobile learning.

This study conducted questionnaire research on the potentially associated or directly associated population of design makers. The process of the study also combined observational and interview studies to compensate for the lack of questionnaire research.

Based on the support of mobile learning technology, design makers share and co-create to achieve individual development and evolution of learning organizations, and produce creative value. Design-maker communities of practice form common communities in the framework of informal organizations to support continuous individual learning. Convergent interests or concerns in making things, real-world contexts based on makerspaces and hands-on practice based on real projects are the basis for forming design-maker communities of practice. A variety of open-source hardware, software and platforms that can support mobile learning are important for the development of design-maker communities of practice. The design-maker community of practice needs group factors, activity development, physical and technical resources, spatial support and institutional norms to enhance learning behaviors and satisfy learning needs.

The discovery and construction of these associated factors can help creative design practitioners form a lasting and virtuous organizational development. This study facilitates the formation of a social network for learning and knowledge sharing among design-maker communities of practice. It enhances the innovation ability and enthusiasm of design makers according to the population characteristics and learning needs of design makers. This study also facilitates the generation of a positive adaptive maker culture and maker spirit within design maker organizations.

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A study on the learning behaviors and needs of design-maker communities of practice in the era of mobile learning10.1108/LHT-12-2021-0486Library Hi Tech2022-12-22© 2022 Emerald Publishing LimitedXin ZhangJieming HuLibrary Hi Techahead-of-printahead-of-print2022-12-2210.1108/LHT-12-2021-0486https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0486/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Librarian’s perception on data librarianship core concepts: a survey of motivational factors, challenges, skills and appropriate trainings platformshttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0487/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestData librarianship, or data-driven librarianship, is the combination of information science, data science and e-science fields and is gaining gradual importance in the library and information science (LIS) profession. Hence, this study investigates the data librarianship core concepts (motivational factors, challenges, skills and appropriate training platforms) to learn and successfully launch data librarianship services. A survey method was used and the data were collected through online questionnaire. Purposive sampling method was applied and 132 responses were received with 76 respondents from the public and 56 from the private sector universities of Pakistan. The statistical package for social sciences (SPSS version 25) was used, and descriptive and inferential statistics were applied to analyzed the data. LIS professionals understand the importance of data-driven library services and perceive that such services are helpful in evolving the image of the library, helping with the establishment of institutional data repositories/data banks, developing data resources and services for library patrons and especially researchers, and receiving appreciation and acknowledgment from the higher authorities. The major challenges that emerged from the data were: missing data policies, limited training opportunities for data librarianship roles, no additional financial benefits, lack of infrastructure and systems, lack of organizational support for the initiation of data-driven services, and lack of skills, knowledge and expertise. Data librarianship is in its early stages in Pakistan, and consequently, the LIS professionals are lacking basic, advanced and technical data-driven skills. The policy, theoretical and practical implications describe an immediate need for framing data policies. Such policies will help the libraries or any other relevant entities to store the data and assign metadata and documentation in such a way that it is easy to retrieve and reusable for others. This is the first study in Pakistan to investigate the perceptions of LIS professionals about data librarianship core concepts: motivational factors, challenges, skills and appropriate training platforms to grasp data-driven skills and successfully launch library services.Librarian’s perception on data librarianship core concepts: a survey of motivational factors, challenges, skills and appropriate trainings platforms
Murtaza Ashiq, Nosheen Fatima Warraich
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

Data librarianship, or data-driven librarianship, is the combination of information science, data science and e-science fields and is gaining gradual importance in the library and information science (LIS) profession. Hence, this study investigates the data librarianship core concepts (motivational factors, challenges, skills and appropriate training platforms) to learn and successfully launch data librarianship services.

A survey method was used and the data were collected through online questionnaire. Purposive sampling method was applied and 132 responses were received with 76 respondents from the public and 56 from the private sector universities of Pakistan. The statistical package for social sciences (SPSS version 25) was used, and descriptive and inferential statistics were applied to analyzed the data.

LIS professionals understand the importance of data-driven library services and perceive that such services are helpful in evolving the image of the library, helping with the establishment of institutional data repositories/data banks, developing data resources and services for library patrons and especially researchers, and receiving appreciation and acknowledgment from the higher authorities. The major challenges that emerged from the data were: missing data policies, limited training opportunities for data librarianship roles, no additional financial benefits, lack of infrastructure and systems, lack of organizational support for the initiation of data-driven services, and lack of skills, knowledge and expertise. Data librarianship is in its early stages in Pakistan, and consequently, the LIS professionals are lacking basic, advanced and technical data-driven skills.

The policy, theoretical and practical implications describe an immediate need for framing data policies. Such policies will help the libraries or any other relevant entities to store the data and assign metadata and documentation in such a way that it is easy to retrieve and reusable for others.

This is the first study in Pakistan to investigate the perceptions of LIS professionals about data librarianship core concepts: motivational factors, challenges, skills and appropriate training platforms to grasp data-driven skills and successfully launch library services.

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Librarian’s perception on data librarianship core concepts: a survey of motivational factors, challenges, skills and appropriate trainings platforms10.1108/LHT-12-2021-0487Library Hi Tech2022-05-10© 2022 Emerald Publishing LimitedMurtaza AshiqNosheen Fatima WarraichLibrary Hi Techahead-of-printahead-of-print2022-05-1010.1108/LHT-12-2021-0487https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0487/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Examining the influence of the performance of mobile devices on teaching quality based on the technological acceptance modehttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0489/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to examine the effects of iPad distribution on all teachers in a university and its application in teaching and student learning at home via wireless network during the coronavirus (COVID-19) pandemic. The attitude towards the use of iPads, behavioural intentions and the impact on the quality of teaching were evaluated. This study used the technology acceptance model to explore the use of iPad smart mobile devices in multimedia teaching applications by university teachers. Furthermore, it used the structural equation modelling (SEM) for data analysis to explore the causal relationship between model variables, and it aimed to examine the causal relationship between variables to verify the theory. The SEM analysis included the following two stages: measurement model analysis and structural model analysis. The “Internet information environment” had a significant positive impact on “perceived usefulness” and “perceived ease of use”. Amongst them, perceived usefulness had a significant positive effect on the use attitude, and use attitude had a significant positive effect on behaviour intention. The findings confirmed that a good information network environment will directly and positively affect the perceived usefulness and the ease of use of iPad smart devices, of which the perceived usefulness will further positively affect teachers' perception of iPad smart devices. The attitude and behaviour of using such devices will in turn positively affect the quality of teaching. The results of the quality performance evaluation can be referenced further by manufacturers and scholars regarding the use of iPad smart devices for work at home during the COVID-19 pandemic.Examining the influence of the performance of mobile devices on teaching quality based on the technological acceptance mode
Xiaozhong Chen, Rongli Chen
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to examine the effects of iPad distribution on all teachers in a university and its application in teaching and student learning at home via wireless network during the coronavirus (COVID-19) pandemic. The attitude towards the use of iPads, behavioural intentions and the impact on the quality of teaching were evaluated.

This study used the technology acceptance model to explore the use of iPad smart mobile devices in multimedia teaching applications by university teachers. Furthermore, it used the structural equation modelling (SEM) for data analysis to explore the causal relationship between model variables, and it aimed to examine the causal relationship between variables to verify the theory. The SEM analysis included the following two stages: measurement model analysis and structural model analysis.

The “Internet information environment” had a significant positive impact on “perceived usefulness” and “perceived ease of use”. Amongst them, perceived usefulness had a significant positive effect on the use attitude, and use attitude had a significant positive effect on behaviour intention.

The findings confirmed that a good information network environment will directly and positively affect the perceived usefulness and the ease of use of iPad smart devices, of which the perceived usefulness will further positively affect teachers' perception of iPad smart devices. The attitude and behaviour of using such devices will in turn positively affect the quality of teaching. The results of the quality performance evaluation can be referenced further by manufacturers and scholars regarding the use of iPad smart devices for work at home during the COVID-19 pandemic.

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Examining the influence of the performance of mobile devices on teaching quality based on the technological acceptance mode10.1108/LHT-12-2021-0489Library Hi Tech2022-09-15© 2022 Emerald Publishing LimitedXiaozhong ChenRongli ChenLibrary Hi Techahead-of-printahead-of-print2022-09-1510.1108/LHT-12-2021-0489https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0489/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Establishing novel experimental operation teaching by a click-and-mortar environmenthttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0494/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to focus on the Artificial Intelligence of Things (AIoT) course. As AIoT has many theoretical theories and students usually have little interest in learning the protocols, the experiments can help stimulate their curiosity. Due to the environmental factor, the teaching requires assistive videos and Problem-Based Learning (PBL) to understand students' learning conditions. The experimental design generally follows the course theories going from easy to complex, and students can extend the acquired concepts to other project development, yet, without in-depth knowledge about the experiment, resulting in limited creativity. The assessment analysis can reveal whether students have grown from the teaching. The final analysis at the end of the term can show learners' conditions; meanwhile, students can deliver their level of satisfaction. The click-and-mortar teaching environment provided in this research can improve learning setting and quality, solidifying learners' proficiency. The research result has proved the feasibility of the proposed method. Apart from showing the experimental steps, the video also explains the corresponding theories, helping students reinforce experimental knowledge and boost learning willingness.Establishing novel experimental operation teaching by a click-and-mortar environment
Hsin-Te Wu, Kuo Cheng Chung
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to focus on the Artificial Intelligence of Things (AIoT) course. As AIoT has many theoretical theories and students usually have little interest in learning the protocols, the experiments can help stimulate their curiosity. Due to the environmental factor, the teaching requires assistive videos and Problem-Based Learning (PBL) to understand students' learning conditions.

The experimental design generally follows the course theories going from easy to complex, and students can extend the acquired concepts to other project development, yet, without in-depth knowledge about the experiment, resulting in limited creativity.

The assessment analysis can reveal whether students have grown from the teaching. The final analysis at the end of the term can show learners' conditions; meanwhile, students can deliver their level of satisfaction. The click-and-mortar teaching environment provided in this research can improve learning setting and quality, solidifying learners' proficiency.

The research result has proved the feasibility of the proposed method. Apart from showing the experimental steps, the video also explains the corresponding theories, helping students reinforce experimental knowledge and boost learning willingness.

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Establishing novel experimental operation teaching by a click-and-mortar environment10.1108/LHT-12-2021-0494Library Hi Tech2022-06-21© 2022 Emerald Publishing LimitedHsin-Te WuKuo Cheng ChungLibrary Hi Techahead-of-printahead-of-print2022-06-2110.1108/LHT-12-2021-0494https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2021-0494/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2022 Emerald Publishing Limited
Big data-assisted urban governance: forecasting social events with a periodicity by employing different time series algorithmshttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0550/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to analyze government hotline text data and generating forecasts could enable the effective detection of public demands and help government departments explore, mitigate and resolve social problems. In this study, social problems were determined and analyzed by using the time attributes of government hotline data. Social public events with periodicity were quantitatively analyzed via the Prophet model. The Prophet model is decided after running a comparison study with other widely applied time series models. The validation of modeling and forecast was conducted for social events such as travel and educational services, human resources and public health. The results show that the Prophet algorithm could generate relatively the best performance. Besides, the four types of social events showed obvious trends with periodicities and holidays and have strong interpretable results. The research could help government departments pay attention to time dependency and periodicity features of the hotline data and be aware of early warnings of social events following periodicity and holidays, enabling them to rationally allocate resources to handle upcoming social events and problems and better promoting the role of the big data structure of government hotline data sets in urban governance innovations.Big data-assisted urban governance: forecasting social events with a periodicity by employing different time series algorithms
Zicheng Zhang, Xinyue Lin, Shaonan Shan, Zhaokai Yin
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to analyze government hotline text data and generating forecasts could enable the effective detection of public demands and help government departments explore, mitigate and resolve social problems.

In this study, social problems were determined and analyzed by using the time attributes of government hotline data. Social public events with periodicity were quantitatively analyzed via the Prophet model. The Prophet model is decided after running a comparison study with other widely applied time series models. The validation of modeling and forecast was conducted for social events such as travel and educational services, human resources and public health.

The results show that the Prophet algorithm could generate relatively the best performance. Besides, the four types of social events showed obvious trends with periodicities and holidays and have strong interpretable results.

The research could help government departments pay attention to time dependency and periodicity features of the hotline data and be aware of early warnings of social events following periodicity and holidays, enabling them to rationally allocate resources to handle upcoming social events and problems and better promoting the role of the big data structure of government hotline data sets in urban governance innovations.

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Big data-assisted urban governance: forecasting social events with a periodicity by employing different time series algorithms10.1108/LHT-12-2022-0550Library Hi Tech2023-07-04© 2023 Emerald Publishing LimitedZicheng ZhangXinyue LinShaonan ShanZhaokai YinLibrary Hi Techahead-of-printahead-of-print2023-07-0410.1108/LHT-12-2022-0550https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0550/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Opening the black box of Library Hi Tech: a social network and bibliometric analysishttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0556/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper presents a comprehensive study using bibliometric and social network analysis (SNA) to depict the academic community, research hotspots and the correlation between research performance and social network measurements within Library Hi Tech. Publications from Library Hi Tech between 2010 and 2022 are reviewed and analysed through coauthorship analysis, co-occurrence analysis, SNA and the Spearman rank correlation test. The annual number of publications in Library Hi Tech increased from 2016 to 2022, indicating that this research has gradually gained global attention. The USA and China are the most significant contributors to the relevant publications. Scholars in this field mainly engage in small-scale cooperation. Academic libraries, digital libraries, libraries, information technology and COVID-19 were hot topics during the study period. In light of the COVID-19 pandemic, there was a marked increase in research on healthcare. Academic interest in the internet of Things and social media has proliferated recently and may soon attract more attention. Spearman rank correlation analysis shows that research performance (i.e. publication count and citation count) is significantly and positively correlated with social network measurements (i.e. degree centrality, betweenness centrality, closeness centrality and eigenvector centrality) in studies of Library Hi Tech. This paper reveals a systematic picture of the research landscape of Library Hi Tech and provides a potential guide for future research. The relationship between scientific research performance and social network measurements can be objectively identified based on statistical knowledge.Opening the black box of Library Hi Tech: a social network and bibliometric analysis
Guijie Zhang, Fangfang Wei, Peixin Wang
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper presents a comprehensive study using bibliometric and social network analysis (SNA) to depict the academic community, research hotspots and the correlation between research performance and social network measurements within Library Hi Tech.

Publications from Library Hi Tech between 2010 and 2022 are reviewed and analysed through coauthorship analysis, co-occurrence analysis, SNA and the Spearman rank correlation test.

The annual number of publications in Library Hi Tech increased from 2016 to 2022, indicating that this research has gradually gained global attention. The USA and China are the most significant contributors to the relevant publications. Scholars in this field mainly engage in small-scale cooperation. Academic libraries, digital libraries, libraries, information technology and COVID-19 were hot topics during the study period. In light of the COVID-19 pandemic, there was a marked increase in research on healthcare. Academic interest in the internet of Things and social media has proliferated recently and may soon attract more attention. Spearman rank correlation analysis shows that research performance (i.e. publication count and citation count) is significantly and positively correlated with social network measurements (i.e. degree centrality, betweenness centrality, closeness centrality and eigenvector centrality) in studies of Library Hi Tech.

This paper reveals a systematic picture of the research landscape of Library Hi Tech and provides a potential guide for future research. The relationship between scientific research performance and social network measurements can be objectively identified based on statistical knowledge.

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Opening the black box of Library Hi Tech: a social network and bibliometric analysis10.1108/LHT-12-2022-0556Library Hi Tech2023-05-01© 2023 Emerald Publishing LimitedGuijie ZhangFangfang WeiPeixin WangLibrary Hi Techahead-of-printahead-of-print2023-05-0110.1108/LHT-12-2022-0556https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0556/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Cluster analysis and network visualization of journals, authors, keywords, and themes of monkeypox research (1989–2022): an updated bibliometric reviewhttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0559/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThere have been numerous publications on human monkeypox since it was reported. With the help of bibliometric analysis, this study examined research hotspots and future trends related to human monkeypox. Science mapping was used in this study to identify influential monkeypox researchers, institutions, articles, keywords, thematic structures, and clusters of articles. Based on a validated search query, bibliometric analysis of data collected from Web of Science from 1989 to September 2022 was conducted. Using the “Title-Keyword-Abstract” search option, the search query consisted of keywords “Monkeypox” OR “Monkeypox virus” OR “monkeypox” OR “monkey pox” OR “MPXV.” With the state-of-the-art tools Bibliometrix package of R Studio and VOSviewer, performance analysis and science mapping, as a part of standard bibliometric research of monkeypox research were conducted. Researchers published 708 monkeypox papers from 1989 to September 2022, with American researchers publishing 460 papers. Further, USA had the highest international cooperation in terms of collaborative research output. Centers for Disease Control and Prevention (CDC) is a global leader in monkeypox research since it is the most prolific and collaborative organization. There have been the most published papers on monkeypox in the Journal of Virology. Damon Inger K is also the most prolific and influential researcher in monkeypox research, with the highest number of publications and citations. In total, 1,679 keywords were identified in the study. From the cluster analysis four themes were identified in monkeypox research. They are (1) clinical features, (2) monkeypox virus epidemiology, (3) monkeypox virus vaccine defense, and (4) monkeypox virus-related treatment measures. Analysis of collaboration, findings, networks of research, and visualization separates this study from traditional metrics analysis. Currently, there are no similar studies with similar objectives based on the authors' knowledge.Cluster analysis and network visualization of journals, authors, keywords, and themes of monkeypox research (1989–2022): an updated bibliometric review
Daud Khan, Manoj Kumar Verma, Mayank Yuvaraj
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

There have been numerous publications on human monkeypox since it was reported. With the help of bibliometric analysis, this study examined research hotspots and future trends related to human monkeypox. Science mapping was used in this study to identify influential monkeypox researchers, institutions, articles, keywords, thematic structures, and clusters of articles.

Based on a validated search query, bibliometric analysis of data collected from Web of Science from 1989 to September 2022 was conducted. Using the “Title-Keyword-Abstract” search option, the search query consisted of keywords “Monkeypox” OR “Monkeypox virus” OR “monkeypox” OR “monkey pox” OR “MPXV.” With the state-of-the-art tools Bibliometrix package of R Studio and VOSviewer, performance analysis and science mapping, as a part of standard bibliometric research of monkeypox research were conducted.

Researchers published 708 monkeypox papers from 1989 to September 2022, with American researchers publishing 460 papers. Further, USA had the highest international cooperation in terms of collaborative research output. Centers for Disease Control and Prevention (CDC) is a global leader in monkeypox research since it is the most prolific and collaborative organization. There have been the most published papers on monkeypox in the Journal of Virology. Damon Inger K is also the most prolific and influential researcher in monkeypox research, with the highest number of publications and citations. In total, 1,679 keywords were identified in the study. From the cluster analysis four themes were identified in monkeypox research. They are (1) clinical features, (2) monkeypox virus epidemiology, (3) monkeypox virus vaccine defense, and (4) monkeypox virus-related treatment measures.

Analysis of collaboration, findings, networks of research, and visualization separates this study from traditional metrics analysis. Currently, there are no similar studies with similar objectives based on the authors' knowledge.

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Cluster analysis and network visualization of journals, authors, keywords, and themes of monkeypox research (1989–2022): an updated bibliometric review10.1108/LHT-12-2022-0559Library Hi Tech2023-06-22© 2023 Emerald Publishing LimitedDaud KhanManoj Kumar VermaMayank YuvarajLibrary Hi Techahead-of-printahead-of-print2023-06-2210.1108/LHT-12-2022-0559https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0559/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
What are the factors affecting the participation of postgraduate students in research processes? From motivational variables to demographic variableshttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0560/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study aims to investigate the factors affecting the motivation of graduate students of information science in scientific and research activities and science production. This research is applied in terms of purpose and descriptive in terms of type and method. The study's statistical population includes all postgraduate information science students studying in public universities. The random sampling method was simple. The data collection tool was a questionnaire. Descriptive statistics and one-sample t-test, independent t-test, and ANOVA were used to analyze the collected data by SPSS software. Findings showed that all the main variables (internal motivations, external motivations, self-empowerment, and intellectual and specialized interactions) affect the participation of postgraduate students in research and scientific activities. Among the identified components, the creation of opportunities, research facilities, innovation, and formal relations between students and professors, has the most significant impact on students' motivation to participate in scientific and research activities and science production. There was no significant difference between education and age. From the results obtained from the present study, it can be said that the above variables, which were divided into four categories, with the intensity of the participation of graduate students of universities that in the present study examined the field of librarianship and information, with power and Or weakness are influential. This means that the students at the beginning of the research path, in other words, will be future researchers, should be constantly monitored as a source in the production of science. This research is one of the few types of research that examines the influential variables in increasing the motivation to participate in the study, considering the population of postgraduate students of universities and scientific institutions as drivers of science production.What are the factors affecting the participation of postgraduate students in research processes? From motivational variables to demographic variables
Abbas Doulani, Masoumeh Hossaini
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This study aims to investigate the factors affecting the motivation of graduate students of information science in scientific and research activities and science production. This research is applied in terms of purpose and descriptive in terms of type and method.

The study's statistical population includes all postgraduate information science students studying in public universities. The random sampling method was simple. The data collection tool was a questionnaire. Descriptive statistics and one-sample t-test, independent t-test, and ANOVA were used to analyze the collected data by SPSS software.

Findings showed that all the main variables (internal motivations, external motivations, self-empowerment, and intellectual and specialized interactions) affect the participation of postgraduate students in research and scientific activities. Among the identified components, the creation of opportunities, research facilities, innovation, and formal relations between students and professors, has the most significant impact on students' motivation to participate in scientific and research activities and science production. There was no significant difference between education and age. From the results obtained from the present study, it can be said that the above variables, which were divided into four categories, with the intensity of the participation of graduate students of universities that in the present study examined the field of librarianship and information, with power and Or weakness are influential. This means that the students at the beginning of the research path, in other words, will be future researchers, should be constantly monitored as a source in the production of science.

This research is one of the few types of research that examines the influential variables in increasing the motivation to participate in the study, considering the population of postgraduate students of universities and scientific institutions as drivers of science production.

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What are the factors affecting the participation of postgraduate students in research processes? From motivational variables to demographic variables10.1108/LHT-12-2022-0560Library Hi Tech2023-06-13© 2023 Emerald Publishing LimitedAbbas DoulaniMasoumeh HossainiLibrary Hi Techahead-of-printahead-of-print2023-06-1310.1108/LHT-12-2022-0560https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0560/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Lockdowns during the COVID-19 pandemic among small island developing states and Guamhttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0574/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDuring the COVID-19 pandemic, lockdowns were implemented to achieve two goals: (1) to reduce the number of COVID-19 cases and (2) to reduce the number of COVID-19 deaths. In this paper, the authors aim to look at empirical evidence on how effectively lockdowns achieved these goals among small island developing states (SIDS) and for one specific SIDS economy, Guam. The authors reviewed existing studies to form two hypotheses: that lockdowns reduced cases, and that lockdowns reduced deaths. Defining a lockdown as a positive value for Oxford COVID-19 government response tracker, OxCGRT's stringency index, the authors tested the above hypotheses on 185 countries, 27 SIDS economies and Guam using correlation and regression analyses, and using different measures of the strictness, duration and timing of the lockdown. The authors found no evidence to support the hypothesis that lockdowns reduced the number of cases based on data for all 185 countries and 27 SIDS economies. While the authors found evidence to support the hypothesis in the case of Guam, the result required an unrealistically and implausibly long time lag of 365 days. As to the second hypothesis that lockdowns reduced the number of deaths, the authors found no evidence to support it for 185 countries, 27 SIDS economies as well as Guam. From the review of the existing literature, the authors are the first to conduct this type of study among SIDS economies as a group and on Guam.Lockdowns during the COVID-19 pandemic among small island developing states and Guam
Leila C. Kabigting, Maria Claret M. Ruane, Kristina C. Sayama
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

During the COVID-19 pandemic, lockdowns were implemented to achieve two goals: (1) to reduce the number of COVID-19 cases and (2) to reduce the number of COVID-19 deaths. In this paper, the authors aim to look at empirical evidence on how effectively lockdowns achieved these goals among small island developing states (SIDS) and for one specific SIDS economy, Guam.

The authors reviewed existing studies to form two hypotheses: that lockdowns reduced cases, and that lockdowns reduced deaths. Defining a lockdown as a positive value for Oxford COVID-19 government response tracker, OxCGRT's stringency index, the authors tested the above hypotheses on 185 countries, 27 SIDS economies and Guam using correlation and regression analyses, and using different measures of the strictness, duration and timing of the lockdown.

The authors found no evidence to support the hypothesis that lockdowns reduced the number of cases based on data for all 185 countries and 27 SIDS economies. While the authors found evidence to support the hypothesis in the case of Guam, the result required an unrealistically and implausibly long time lag of 365 days. As to the second hypothesis that lockdowns reduced the number of deaths, the authors found no evidence to support it for 185 countries, 27 SIDS economies as well as Guam.

From the review of the existing literature, the authors are the first to conduct this type of study among SIDS economies as a group and on Guam.

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Lockdowns during the COVID-19 pandemic among small island developing states and Guam10.1108/LHT-12-2022-0574Library Hi Tech2023-04-27© 2023 Emerald Publishing LimitedLeila C. KabigtingMaria Claret M. RuaneKristina C. SayamaLibrary Hi Techahead-of-printahead-of-print2023-04-2710.1108/LHT-12-2022-0574https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0574/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Adoption of big data analytics for sustainability of library services in academic libraries of Pakistanhttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0584/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis paper aims to measure the adoption of big data analytics (BDA) to achieve sustainability in services being offered in university libraries in Pakistan. The study applied a unified theory of acceptance and use of technology (UTAUT) as a framework and used quantitative data collection and analysis method. In total, 246 university library professionals were surveyed using a questionnaire consisting of UTAUT factors. The gathered data were analyzed using partial least structural equation modeling (PLS-SEM). The results showed that performance expectancy (PE), effort expectancy (EE) and social influence (SI) significantly impacted the behavioral intention (BI) to adopt BDA. Facilitating conditions (FCs) have a statistically significant influence on the adoption of big data in libraries, while BDA has a statistical influence on the sustainability of library services (SLS). BDA assists libraries in making better decisions about demand-driven collection creation, library space management, usage tracking, and quality maintenance in routine and repetitive library tasks such as cataloging, indexing, archiving, administration, preservation and representation. BDA supports libraries in making more cost-effective, innovative, user-oriented services, resource transferring, social identity, resource utilization, healthier user experience, strategic planning, informed decision-making and state-of-the-art infrastructure. The foundation of this study is based on information gathered from various sources and university libraries in Punjab to better understand the challenges associated with using BDA for the SLS in Pakistan.Adoption of big data analytics for sustainability of library services in academic libraries of Pakistan
Mehreen Azam, Khurshid Ahmad
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This paper aims to measure the adoption of big data analytics (BDA) to achieve sustainability in services being offered in university libraries in Pakistan.

The study applied a unified theory of acceptance and use of technology (UTAUT) as a framework and used quantitative data collection and analysis method. In total, 246 university library professionals were surveyed using a questionnaire consisting of UTAUT factors. The gathered data were analyzed using partial least structural equation modeling (PLS-SEM).

The results showed that performance expectancy (PE), effort expectancy (EE) and social influence (SI) significantly impacted the behavioral intention (BI) to adopt BDA. Facilitating conditions (FCs) have a statistically significant influence on the adoption of big data in libraries, while BDA has a statistical influence on the sustainability of library services (SLS).

BDA assists libraries in making better decisions about demand-driven collection creation, library space management, usage tracking, and quality maintenance in routine and repetitive library tasks such as cataloging, indexing, archiving, administration, preservation and representation. BDA supports libraries in making more cost-effective, innovative, user-oriented services, resource transferring, social identity, resource utilization, healthier user experience, strategic planning, informed decision-making and state-of-the-art infrastructure.

The foundation of this study is based on information gathered from various sources and university libraries in Punjab to better understand the challenges associated with using BDA for the SLS in Pakistan.

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Adoption of big data analytics for sustainability of library services in academic libraries of Pakistan10.1108/LHT-12-2022-0584Library Hi Tech2023-04-18© 2023 Emerald Publishing LimitedMehreen AzamKhurshid AhmadLibrary Hi Techahead-of-printahead-of-print2023-04-1810.1108/LHT-12-2022-0584https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0584/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Determinants of patients' service choice in online health communities: an elaboration likelihood model perspectivehttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0585/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe purpose of this research paper is to explore the determinants of patients' service choices between telephone consultation and text consultation in online health communities (OHCs). This study utilized an empirical model based on the elaboration likelihood model and examined the effect of information, regarding service quality (the central route) and service price (the peripheral route), using online health consultation data from one of the largest OHCs in China. The logistic regression results indicated that both physician- and patient-generated information can influence the patients' service choices; service price signals will lead patients to cheaper options. However, individual motivations, disease risk and consulting experience change a patients' information processing regarding central and peripheral cues. Previous researchers have investigated the mechanism of patient behavior in OHCs; however, the researchers have not focused on the patients' choices regarding the multiple health services provided in OHCs. The findings of this study have theoretical and practical implications for future researchers, OHC designers and physicians.Determinants of patients' service choice in online health communities: an elaboration likelihood model perspective
Yuangao Chen, Meng Liu, Mingjing Chen, Lu Wang, Le Sun, Gang Xuan
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

The purpose of this research paper is to explore the determinants of patients' service choices between telephone consultation and text consultation in online health communities (OHCs).

This study utilized an empirical model based on the elaboration likelihood model and examined the effect of information, regarding service quality (the central route) and service price (the peripheral route), using online health consultation data from one of the largest OHCs in China.

The logistic regression results indicated that both physician- and patient-generated information can influence the patients' service choices; service price signals will lead patients to cheaper options. However, individual motivations, disease risk and consulting experience change a patients' information processing regarding central and peripheral cues.

Previous researchers have investigated the mechanism of patient behavior in OHCs; however, the researchers have not focused on the patients' choices regarding the multiple health services provided in OHCs. The findings of this study have theoretical and practical implications for future researchers, OHC designers and physicians.

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Determinants of patients' service choice in online health communities: an elaboration likelihood model perspective10.1108/LHT-12-2022-0585Library Hi Tech2023-06-28© 2023 Emerald Publishing LimitedYuangao ChenMeng LiuMingjing ChenLu WangLe SunGang XuanLibrary Hi Techahead-of-printahead-of-print2023-06-2810.1108/LHT-12-2022-0585https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2022-0585/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2023 Emerald Publishing Limited
Application of artificial intelligence in libraries: a bibliometric analysis and visualisation of research activitieshttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2023-0589/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis research aims to analyse the current state of research on the application of Artificial Intelligence (AI) in libraries by examining document type, publication year, keywords, country and research methods. The overarching aim is to enrich the existing knowledge of AI-powered libraries by identifying the prevailing research gaps, providing direction for future research and deepening the understanding needed for effective policy development. This study used advanced tools such as bibliometric and network analysis, taking the existing literature from the SCOPUS database extending to the year 2022. This study analysed the application of AI in libraries by identifying and selecting relevant keywords, extracting the data from the database, processing the data using advanced bibliometric visualisation tools and presenting and discussing the results. For this comprehensive research, the search strategy was approved by a panel of computer scientists and librarians. The majority of research concerning the application of AI in libraries has been conducted in the last three years, likely driven by the fourth industrial revolution. Results show that highly cited articles were published by Emerald Group Holdings Ltd. However, the application of AI in libraries is a developing field, and the study highlights the need for more research in areas such as Digital Humanities, Machine Learning, Robotics, Data Mining and Big Data in Academic Libraries. This study has excluded papers written in languages other than English that address domains beyond libraries, such as medicine, health, education, science and technology. This article offers insight for managers and policymakers looking to implement AI in libraries. By identifying clusters and themes, the article would empower managers to plan ahead, mitigate potential drawbacks and seize opportunities for sustainable growth. Previous studies on the application of AI in libraries have taken a broad approach, but this study narrows its focus to research published explicitly in Library and Information Science (LIS) journals. This makes it unique compared to previous research in the field.Application of artificial intelligence in libraries: a bibliometric analysis and visualisation of research activities
Prihana Vasishta, Navjyoti Dhingra, Seema Vasishta
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This research aims to analyse the current state of research on the application of Artificial Intelligence (AI) in libraries by examining document type, publication year, keywords, country and research methods. The overarching aim is to enrich the existing knowledge of AI-powered libraries by identifying the prevailing research gaps, providing direction for future research and deepening the understanding needed for effective policy development.

This study used advanced tools such as bibliometric and network analysis, taking the existing literature from the SCOPUS database extending to the year 2022. This study analysed the application of AI in libraries by identifying and selecting relevant keywords, extracting the data from the database, processing the data using advanced bibliometric visualisation tools and presenting and discussing the results. For this comprehensive research, the search strategy was approved by a panel of computer scientists and librarians.

The majority of research concerning the application of AI in libraries has been conducted in the last three years, likely driven by the fourth industrial revolution. Results show that highly cited articles were published by Emerald Group Holdings Ltd. However, the application of AI in libraries is a developing field, and the study highlights the need for more research in areas such as Digital Humanities, Machine Learning, Robotics, Data Mining and Big Data in Academic Libraries.

This study has excluded papers written in languages other than English that address domains beyond libraries, such as medicine, health, education, science and technology.

This article offers insight for managers and policymakers looking to implement AI in libraries. By identifying clusters and themes, the article would empower managers to plan ahead, mitigate potential drawbacks and seize opportunities for sustainable growth.

Previous studies on the application of AI in libraries have taken a broad approach, but this study narrows its focus to research published explicitly in Library and Information Science (LIS) journals. This makes it unique compared to previous research in the field.

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Application of artificial intelligence in libraries: a bibliometric analysis and visualisation of research activities10.1108/LHT-12-2023-0589Library Hi Tech2024-01-19© 2024 Emerald Publishing LimitedPrihana VasishtaNavjyoti DhingraSeema VasishtaLibrary Hi Techahead-of-printahead-of-print2024-01-1910.1108/LHT-12-2023-0589https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2023-0589/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
The information needs of users in the metaverse communities: a grounded theory studyhttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2023-0613/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis article aims to understand users' information needs in the metaverse communities and to analyze the similarities and differences between their information needs and those of users in Internet communities. This study conducted semi-structured interviews with users in the metaverse communities to gather raw data. Grounded theory research methods were employed to code and analyze the collected interview data, resulting in the extraction of 40 initial concepts, 15 subcategories and 5 main categories. Based on Maslow’s hierarchy of needs theory, this paper constructs the hierarchical model of users' information needs in the metaverse communities. It compares the differences between users' information needs in the metaverse and Internet fields. The user’s information needs in the metaverse communities are divided into two types: deficiency needs and growth needs. Deficiency needs have two levels. The first level is the demand for basic information resources. The second level is the users demand for information assistance. Growth needs have three levels. The first level is the need for information interactions. The second level is the need for community rules. The ownership information in the community rules can provide proof of user status, assets and so on. The third level is the need for users to contribute and share their own created information content. This article presents the latest research data from in-depth interviews with users in the metaverse communities. It aims to help builders and managers of metaverse communities understand users' information needs and improve the design of virtual communities.The information needs of users in the metaverse communities: a grounded theory study
Yajun Guo, Huifang Ma, Jiahua Zhou, Yanchen Chen, Yiming Yuan
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

This article aims to understand users' information needs in the metaverse communities and to analyze the similarities and differences between their information needs and those of users in Internet communities.

This study conducted semi-structured interviews with users in the metaverse communities to gather raw data. Grounded theory research methods were employed to code and analyze the collected interview data, resulting in the extraction of 40 initial concepts, 15 subcategories and 5 main categories. Based on Maslow’s hierarchy of needs theory, this paper constructs the hierarchical model of users' information needs in the metaverse communities. It compares the differences between users' information needs in the metaverse and Internet fields.

The user’s information needs in the metaverse communities are divided into two types: deficiency needs and growth needs. Deficiency needs have two levels. The first level is the demand for basic information resources. The second level is the users demand for information assistance. Growth needs have three levels. The first level is the need for information interactions. The second level is the need for community rules. The ownership information in the community rules can provide proof of user status, assets and so on. The third level is the need for users to contribute and share their own created information content.

This article presents the latest research data from in-depth interviews with users in the metaverse communities. It aims to help builders and managers of metaverse communities understand users' information needs and improve the design of virtual communities.

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The information needs of users in the metaverse communities: a grounded theory study10.1108/LHT-12-2023-0613Library Hi Tech2024-03-28© 2024 Emerald Publishing LimitedYajun GuoHuifang MaJiahua ZhouYanchen ChenYiming YuanLibrary Hi Techahead-of-printahead-of-print2024-03-2810.1108/LHT-12-2023-0613https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2023-0613/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited
Social media analytics for academic music library: a case study of CUHK center for Chinese Music Studieshttps://www.emerald.com/insight/content/doi/10.1108/LHT-12-2023-0616/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWith the rapid development of social media, many organizations have begun to attach importance to social media platforms. This research studies the management and the use of social media in academic music libraries, taking the Center for Chinese Music Studies of the Chinese University of Hong Kong (CCMS) as a case study. We conducted a sentiment analysis of posts on Facebook’s public page to analyze the reaction to the posts with some exploratory analysis, including the communication trend and relevant factors that affect user interaction. Our results show that the Facebook channel for the library has a good publicity effect and active interaction, but the number of posts and interactions has a downward trend. Therefore, the library needs to pay more attention to the management of the Facebook channel and take adequate measures to improve the quality of posts to increase interaction. Few studies have analyzed existing data directly collected from social media by programming based on sentiment analysis and natural language processing technology to explore potential methods to promote music libraries, especially in East Asia, and about traditional music.Social media analytics for academic music library: a case study of CUHK center for Chinese Music Studies
Bing Xue, Rui Yao, Zengyu Ye, Cheuk Ting Chan, Dickson K.W. Chiu, Zeyu Zhong
Library Hi Tech, Vol. ahead-of-print, No. ahead-of-print, pp.-

With the rapid development of social media, many organizations have begun to attach importance to social media platforms. This research studies the management and the use of social media in academic music libraries, taking the Center for Chinese Music Studies of the Chinese University of Hong Kong (CCMS) as a case study.

We conducted a sentiment analysis of posts on Facebook’s public page to analyze the reaction to the posts with some exploratory analysis, including the communication trend and relevant factors that affect user interaction.

Our results show that the Facebook channel for the library has a good publicity effect and active interaction, but the number of posts and interactions has a downward trend. Therefore, the library needs to pay more attention to the management of the Facebook channel and take adequate measures to improve the quality of posts to increase interaction.

Few studies have analyzed existing data directly collected from social media by programming based on sentiment analysis and natural language processing technology to explore potential methods to promote music libraries, especially in East Asia, and about traditional music.

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Social media analytics for academic music library: a case study of CUHK center for Chinese Music Studies10.1108/LHT-12-2023-0616Library Hi Tech2024-03-08© 2024 Emerald Publishing LimitedBing XueRui YaoZengyu YeCheuk Ting ChanDickson K.W. ChiuZeyu ZhongLibrary Hi Techahead-of-printahead-of-print2024-03-0810.1108/LHT-12-2023-0616https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2023-0616/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2024 Emerald Publishing Limited