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Library Hi Tech
Journal Prestige (SJR): 0.427
Citation Impact (citeScore): 1
Number of Followers: 1168  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0737-8831
Published by Emerald Homepage  [362 journals]
  • Facilitators and barriers to dealing with questionable journals in
           management science

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      Authors: Mehdi Dadkhah, Fariborz Rahimnia, Aamir Raoof Memon
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-11-30
      DOI: 10.1108/LHT-09-2022-0420
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Development of smart academic library services with Internet of Things
           technology: a qualitative study in Hong Kong

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      Authors: Hoi Ching Cheung, Yan Yin Marco Lo, Dickson K.W. Chiu, Elaine W.S. Kong
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-11-06
      DOI: 10.1108/LHT-06-2023-0219
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Perpetrators' perspective on cyberbullying: a qualitative systematic
           review with bibliometric analysis

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      Authors: Suhans Bansal, Naval Garg, Jagvinder Singh
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-10-30
      DOI: 10.1108/LHT-06-2023-0265
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Social mediametrics: the mention laws and patterns of scientific
           literature

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      Authors: Rongying Zhao, Weijie Zhu, He Huang, Wenxin Chen
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-10-23
      DOI: 10.1108/LHT-02-2023-0063
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • An assessment of blockchain academia and news developments: a
           bibliometric and text-mining analysis

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      Authors: Chien-Wen Shen, Phung Phi Tran
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-10-16
      DOI: 10.1108/LHT-10-2022-0473
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • ChatGPT and the AI revolution: a comprehensive investigation of its
           multidimensional impact and potential

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      Authors: Mohd Afjal
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-10-13
      DOI: 10.1108/LHT-07-2023-0322
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Patterns of artificial intelligence policies in China:
           a nationwide perspective

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      Authors: Kaili Wang, Ke Dong, Jiachun Wu, Jiang Wu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-09-15
      DOI: 10.1108/LHT-04-2022-0168
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Utilizing health-related text on social media for depression
           research: themes and methods

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      Authors: Sumei Yao, Fan Wang, Jing Chen, Quan Lu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-09-12
      DOI: 10.1108/LHT-02-2023-0076
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Examining themes of social media users' opinion on remote work during
           COVID-19 pandemic: a justice theory perspective

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      Authors: Yunfei Xing, Yuming He, Justin Z. Zhang
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-09-12
      DOI: 10.1108/LHT-04-2023-0138
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Mapping of the selected literature on robotic technology applications in
           libraries based on Scopus database: a subjective computational review

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      Authors: Bwsrang Basumatary, Mayank Yuvaraj, Nitesh Kumar Verma, Manoj Kumar Verma
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-09-11
      DOI: 10.1108/LHT-02-2023-0031
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • How is the development of library and information science in China'

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      Authors: Weijie Zhu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-08-31
      DOI: 10.1108/LHT-04-2023-0148
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Evaluation and optimization of supply factor efficiency for public
           digital cultural services in China

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      Authors: Zijian Wang, Qingong Shi, Qunzhe Ding
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-08-31
      DOI: 10.1108/LHT-11-2022-0521
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Ukrainian arts and humanities research in
           Scopus: a bibliometric analysis

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      Authors: Serhii Nazarovets, Olesya Mryglod
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-08-15
      DOI: 10.1108/LHT-05-2023-0180
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Examining the role of metadiscourse in collaborative knowledge building
           community

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      Authors: Shaoming Chai, Emily Pey-Tee Oon, Yuan Chai, Zuokun Li
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-08-11
      DOI: 10.1108/LHT-03-2023-0085
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • How to improve elderly users' intention to use public digital cultural
           services: from the perspective of trust

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      Authors: Yuwen Hua, Honglei Lia Sun, Ya Chen
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-08-03
      DOI: 10.1108/LHT-09-2022-0436
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Research hotspots, trends and opportunities on the metaverse in health
           education: a bibliometric analysis

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      Authors: Gokhan Agac, Ferit Sevim, Omer Celik, Sedat Bostan, Ramazan Erdem, Yusuf Ileri Yalcin
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-07-26
      DOI: 10.1108/LHT-04-2023-0168
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Exploring the dimensions of ChatGPT in English language learning: a
           global perspective

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      Authors: Wagdi Rashad Ali Bin-Hady, Abdu Al-Kadi, Abduljalil Hazaea, Jamal Kaid Mohammed Ali
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-07-25
      DOI: 10.1108/LHT-05-2023-0200
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • A structural equation model analysis of English for specific purposes
           students' attitudes regarding computer-assisted language learning: UTAUT2
           model

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      Authors: Adel Bessadok, Mustafa Hersi
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-07-25
      DOI: 10.1108/LHT-03-2023-0124
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Development and maturity of co-word thematic clusters:
           the field of linked data

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      Authors: Elaheh Hosseini, Kimiya Taghizadeh Milani, Mohammad Shaker Sabetnasab
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-07-20
      DOI: 10.1108/LHT-10-2022-0488
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • A novel data quality framework for assessment of scientific
           lecture video indexing

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      Authors: Hamid Hassani, Azadeh Mohebi, M.J. Ershadi, Ammar Jalalimanesh
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-07-14
      DOI: 10.1108/LHT-02-2023-0074
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Big data-assisted urban governance: forecasting social events with a
           periodicity by employing different time series algorithms

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      Authors: Zicheng Zhang, Xinyue Lin, Shaonan Shan, Zhaokai Yin
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-07-04
      DOI: 10.1108/LHT-12-2022-0550
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • A framework of genealogy knowledge reasoning and visualization based on
           a knowledge graph

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      Authors: Ruan Wang, Jun Deng, Xinhui Guan, Yuming He
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-30
      DOI: 10.1108/LHT-05-2022-0265
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Examining differences in perceived usability of Google Drive among
           public library users

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      Authors: Farwa Taqi, Syeda Hina Batool, Alia Arshad
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-30
      DOI: 10.1108/LHT-05-2022-0275
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Do linguistic features of research article titles affect received online
           attention' A corpus-based analysis

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      Authors: Haoran Zhu, Xueying Liu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-29
      DOI: 10.1108/LHT-01-2023-0022
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Determinants of patients' service choice in online health communities: an
           elaboration likelihood model perspective

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      Authors: Yuangao Chen, Meng Liu, Mingjing Chen, Lu Wang, Le Sun, Gang Xuan
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-28
      DOI: 10.1108/LHT-12-2022-0585
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Incorporating mobile learning and the CAP(E) framework in improving the
           receptive skills of students

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      Authors: Esra Istek, Chinaza Solomon Ironsi
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-27
      DOI: 10.1108/LHT-01-2023-0008
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Analyzing the spatiotemporal coupling relationship between public opinion
           and the epidemic during COVID-19

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      Authors: Jingjing Sun, Ziming Zeng, Tingting Li, Shouqiang Sun
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-22
      DOI: 10.1108/LHT-10-2022-0462
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Cluster analysis and network visualization of journals, authors, keywords,
           and themes of monkeypox research (1989–2022): an updated bibliometric
           review

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      Authors: Daud Khan, Manoj Kumar Verma, Mayank Yuvaraj
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-22
      DOI: 10.1108/LHT-12-2022-0559
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Prototyping technology adoption among entrepreneurship and innovation
           libraries for rural health innovations

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      Authors: Varun Gupta, Chetna Gupta, Jakub Swacha, Luis Rubalcaba
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-21
      DOI: 10.1108/LHT-03-2023-0120
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • User experience of digital science and education evaluation platform:
           identification and analysis of key influencing factors

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      Authors: Junping Qiu, Zhongyang Xu, Haibei Luo, Jianing Zhou, Yu Zhang
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-20
      DOI: 10.1108/LHT-10-2022-0468
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • A comparison study on innovation and entrepreneurship education in and
           out of China from a bibliometric perspective

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      Authors: Xin Feng, Xu Wang, Mengxia Qi
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-16
      DOI: 10.1108/LHT-06-2022-0313
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Youth marketing development of special libraries in the digital era:
           viewpoint from the Taste Library with 7Ps marketing mix

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      Authors: Ying Kit Cherry Kwan, Mei Wa Chan, Dickson K.W. Chiu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-13
      DOI: 10.1108/LHT-03-2023-0129
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • User influence and microblog marketing: a case study of Sina Weibo in
           China

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      Authors: Xiaoguang Wang, Yijun Gao, Zhuoyao Lu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-13
      DOI: 10.1108/LHT-04-2022-0193
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • A study of the impact of interdisciplinary citation on the aging of
           library and information science

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      Authors: Qian Yang, Xukang Shen, Yanhui Song, Shiji Chen
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-13
      DOI: 10.1108/LHT-07-2022-0335
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • What are the factors affecting the participation of postgraduate students
           in research processes' From motivational variables to demographic
           variables

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      Authors: Abbas Doulani, Masoumeh Hossaini
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-06-13
      DOI: 10.1108/LHT-12-2022-0560
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Impact of social media addiction on librarians' performance: mediating
           role of task distraction, moderating role of effective self-control

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      Authors: Asad Javed, Samar Hayat Khan, Muhammad Aamir Shafique Khan, Hassan Ahmed Shah
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-05-30
      DOI: 10.1108/LHT-01-2022-0078
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Knowledge mining and graph visualization of ancient Chinese scientific and
           technological documents bibliographic summaries based on digital
           humanities

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      Authors: Xiang Zheng, Mingjie Li, Ze Wan, Yan Zhang
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-05-29
      DOI: 10.1108/LHT-11-2022-0538
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Analyzing the role of ICT in bridging the digital divide: a transitional
           analytical framework for ICT access to impact

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      Authors: Hadi Hussain, Jun Wen, Renai Jiang, Junaid Waheed, Waheed Ali, Nadeem Akhtar Khan
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-05-24
      DOI: 10.1108/LHT-06-2021-0194
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • The trend and future of techno-ethics: a bibliometric analysis of
           three decades

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      Authors: Shivangi Verma, Naval Garg
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-05-11
      DOI: 10.1108/LHT-10-2022-0477
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • The role of personality traits and the ability to detect fake news in
           predicting information avoidance during the COVID-19 pandemic

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      Authors: Mahdieh Mirzabeigi, Mahsa Torabi, Tahereh Jowkar
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-05-09
      DOI: 10.1108/LHT-03-2022-0150
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Bibliometric analyses and network mapping on the smart library in Web of
           Science from 2003 to 2021

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      Authors: Dan Wang
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-05-09
      DOI: 10.1108/LHT-08-2022-0361
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Opening the black box of Library Hi Tech: a social network and
           bibliometric analysis

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      Authors: Guijie Zhang, Fangfang Wei, Peixin Wang
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-05-01
      DOI: 10.1108/LHT-12-2022-0556
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Library book recommendation with CNN-FM deep learning approach

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      Authors: Xiaohua Shi, Chen Hao, Ding Yue, Hongtao Lu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-04-28
      DOI: 10.1108/LHT-08-2022-0400
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Lockdowns during the COVID-19 pandemic among small island developing
           states and Guam

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      Authors: Leila C. Kabigting, Maria Claret M. Ruane, Kristina C. Sayama
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-04-27
      DOI: 10.1108/LHT-12-2022-0574
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • How gamification and social interaction stimulate MOOCs continuance
           intention via cognitive presence, teaching presence and social presence'

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      Authors: Yung-Ming Cheng
      Abstract: This study's purpose is to propose a research model based on the stimulus-organism-response (S-O-R) model to examine whether gamification and social interaction as environmental stimulus antecedents to learners' perceptions of presence can affect their continuance intention of massive open online courses (MOOCs). Sample data for this study were collected from learners who had experience in taking gamified MOOCs provided by the MOOC platform launched by a well-known university in Taiwan, and 353 usable questionnaires were analyzed using structural equation modeling (SEM). This study demonstrated that learners' perceived gamification, learner–instructor interaction and learner–learner interaction in MOOCs positively affected their cognitive presence, teaching presence and social presence elicited by MOOCs, which jointly expounded their continuance intention of MOOCs. The results support all proposed hypotheses, and the research model accounts for 72.6% of the variance in learners' MOOCs continuance intention. This study employs the S-O-R model as a theoretical umbrella to frame learners' MOOCs continuance intention as a series of the internal process, which is influenced by gamification and social interaction. Noteworthily, three psychological constructs of the community of inquiry model (i.e. cognitive presence, teaching presence and social presence) are adopted to represent learners' internal experiences of MOOCs usage. To date, hedonic/utilitarian concepts are more commonly adopted as organisms in prior studies based on the S-O-R model, whereas psychological constructs have received lesser attention. Hence, this study enriches the S-O-R model into an invaluable context.
      Citation: Library Hi Tech
      PubDate: 2023-04-26
      DOI: 10.1108/LHT-03-2022-0160
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Adoption of big data analytics for sustainability of library services in
           academic libraries of Pakistan

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      Authors: Mehreen Azam, Khurshid Ahmad
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-04-18
      DOI: 10.1108/LHT-12-2022-0584
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • School library reading support for students with dyslexia: a qualitative
           study in the digital age

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      Authors: Qingyu Li, Jenny Wong, Dickson K.W. Chiu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-04-17
      DOI: 10.1108/LHT-03-2023-0086
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • The shift in research trends related to artificial intelligence
           in library repositories during the coronavirus pandemic

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      Authors: Prasetyo Adi Nugroho, Nove E. Variant Anna, Noraini Ismail
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-04-17
      DOI: 10.1108/LHT-07-2022-0326
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Voice search behavior under human–vehicle interaction context: an
           exploratory study

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      Authors: Shaobo Liang, Linfeng Yu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-04-12
      DOI: 10.1108/LHT-04-2022-0174
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Impact of COVID-19 on reading behaviors and preferences: investigating
           high school students and parents with the 5E instructional model

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      Authors: Cimei Dai, Dickson K.W. Chiu
      Abstract: This research explored how COVID-19 affects Shenzhen high school students' reading behavior and preference and their parents' attitudes toward reading during the lockdown. This research adopted a qualitative approach to conduct one-on-one semi-structured interviews with parents of a boarding high school in Shenzhen, China. Thirteen parents were recruited through a purposeful sampling method, and NVivo12 software was used to analyze the results with a theme-based approach guided by the 5E instructional model. The results revealed the effectiveness and problems of high school students' use of electronic resources and discovered changes in the reading behavior of high school students and their parents' attitudes during COVID-19. There are few studies specifically on the reading behavior of boarding students from a parental view, especially in Asia. This research can fill the gaps in related research during COVID-19.
      Citation: Library Hi Tech
      PubDate: 2023-04-11
      DOI: 10.1108/LHT-10-2022-0472
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Applications of metaverse-related technologies in the services of US urban
           libraries

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      Authors: Yajun Guo, Yiming Yuan, Shuai Li, Yiruo Guo, Yiyang Fu, Zihan Jin
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-04-04
      DOI: 10.1108/LHT-10-2022-0486
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Areas and contexts of the use of robotics in libraries: an overview
           of the applied solutions and a discussion of prospects

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      Authors: Magdalena Wójcik
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-03-27
      DOI: 10.1108/LHT-10-2022-0487
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Role of citation and non-citation metrics in predicting the educational
           impact of textbooks

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      Authors: Ashraf Maleki, Javad Abbaspour, Abdolrasoul Jowkar, Hajar Sotudeh
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-03-20
      DOI: 10.1108/LHT-06-2022-0297
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Information security and technical issues of cloud storage services:
           a qualitative study on university students in Hong Kong

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      Authors: Shing Cheong Hui, Ming Yung Kwok, Elaine W.S. Kong, Dickson K.W. Chiu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-03-03
      DOI: 10.1108/LHT-11-2022-0533
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Towards personal learning environment by enhancing adaptive access to
           digital library using ontology-supported collaborative filtering

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      Authors: V. Senthil Kumaran, R. Latha
      Abstract: The purpose of this paper is to provide adaptive access to learning resources in the digital library. A novel method using ontology-based multi-attribute collaborative filtering is proposed. Digital libraries are those which are fully automated and all resources are in digital form and access to the information available is provided to a remote user as well as a conventional user electronically. To satisfy users' information needs, a humongous amount of newly created information is published electronically in digital libraries. While search applications are improving, it is still difficult for the majority of users to find relevant information. For better service, the framework should also be able to adapt queries to search domains and target learners. This paper improves the accuracy and efficiency of predicting and recommending personalized learning resources in digital libraries. To facilitate a personalized digital learning environment, the authors propose a novel method using ontology-supported collaborative filtering (CF) recommendation system. The objective is to provide adaptive access to learning resources in the digital library. The proposed model is based on user-based CF which suggests learning resources for students based on their course registration, preferences for topics and digital libraries. Using ontological framework knowledge for semantic similarity and considering multiple attributes apart from learners' preferences for the learning resources improve the accuracy of the proposed model. The results of this work majorly rely on the developed ontology. More experiments are to be conducted with other domain ontologies. The proposed approach is integrated into Nucleus, a Learning Management System (https://nucleus.amcspsgtech.in). The results are of interest to learners, academicians, researchers and developers of digital libraries. This work also provides insights into the ontology for e-learning to improve personalized learning environments. This paper computes learner similarity and learning resources similarity based on ontological knowledge, feedback and ratings on the learning resources. The predictions for the target learner are calculated and top N learning resources are generated by the recommendation engine using CF.
      Citation: Library Hi Tech
      PubDate: 2023-02-28
      DOI: 10.1108/LHT-12-2021-0433
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Social networks in Iranian academic libraries: complementary or
           antagonistic tools'

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      Authors: Farshad Parhamnia
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-02-20
      DOI: 10.1108/LHT-09-2022-0453
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Evolution of discussion topics on an online depression self-help
           group

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      Authors: Honglei Lia Sun, Pnina Fichman
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-02-09
      DOI: 10.1108/LHT-07-2022-0317
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • The effect of immersive experience, user engagement and perceived
           authenticity on place satisfaction in the context of augmented reality

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      Authors: Kazım Dağ, Sinan Çavuşoğlu, Yakup Durmaz
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-02-07
      DOI: 10.1108/LHT-10-2022-0498
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Predictable by publication: discovery of early highly cited academic
           papers based on their own features

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      Authors: Xiaobo Tang, Heshen Zhou, Shixuan Li
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-02-06
      DOI: 10.1108/LHT-06-2022-0305
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Why do people not attend public library programs in the current digital
           age' A mix method study in Hong Kong

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      Authors: Shan Shan Lu, Ruwen Tian, Dickson K.W. Chiu
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-02-02
      DOI: 10.1108/LHT-04-2022-0217
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Designing a branding model for academic libraries affiliated with the
           Ministry of Science, Research and Technology in Iran

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      Authors: Farzane Sahli, Sirous Alidousti, Nader Naghshineh
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-01-24
      DOI: 10.1108/LHT-02-2022-0111
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Open data: an innovative learning resource for postgraduates

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      Authors: Wuxiang Dai, Yucen Zhou, Congcong Zhang, Hui Zhang
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-01-17
      DOI: 10.1108/LHT-05-2022-0228
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Equip public managers with data analytics skills: a proposal for the new
           generation of MPA/MPP programs with data science track

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      Authors: Kevin K.W. Ho, Ning Li, Kristina C. Sayama
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-01-17
      DOI: 10.1108/LHT-07-2022-0320
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • SciBR-M: a method to map the evolution of scientific interest - A case
           study in educational data mining

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      Authors: Luis Zárate, Marcos W. Rodrigues, Sérgio Mariano Dias, Cristiane Nobre, Mark Song
      Abstract: The scientific community shares a heritage of knowledge generated by several different fields of research. Identifying how scientific interest evolves is relevant for recording and understanding research trends and society’s demands. This article presents SciBR-M, a novel method to identify scientific interest evolution from bibliographic material based on Formal Concept Analysis. The SciBR-M aims to describe the thematic evolution surrounding a field of research. The method begins by hierarchically organising sub-domains within the field of study to identify the themes that are more relevant. After this organisation, we apply a temporal analysis that extracts implication rules with minimal premises and a single conclusion, which are helpful to observe the evolution of scientific interest in a specific field of study. To analyse the results, we consider support, confidence, and lift metrics to evaluate the extracted implications. The authors applied the SciBR-M method for the Educational Data Mining (EDM) field considering 23 years since the first publications. In the digital libraries context, SciBR-M allows the integration of the academy, education, and cultural memory, in relation to a study domain. Cultural changes lead to the production of new knowledge and to the evolution of scientific interest. This knowledge is part of the scientific heritage of society and should be transmitted in a structured and organised form to future generations of scientists and the general public. The method, based on Formal Concept Analysis, identifies the evolution of scientific interest to a field of study. SciBR-M hierarchically organises bibliographic material to different time periods and explores this hierarchy from proper implication rules. These rules permit identifying recurring themes, i.e. themes subset that received more attention from the scientific community during a specific period. Analysing these rules, it is possible to identify the temporal evolution of scientific interest in the field of study. This evolution is observed by the emergence, increase or decrease of interest in topics in the domain. The SciBR-M method can be used to register and analyse the scientific, cultural heritage of a field of study. In addition, the authors can use the method to stimulate the process of creating knowledge and innovation and encouraging the emergence of new research.
      Citation: Library Hi Tech
      PubDate: 2023-01-09
      DOI: 10.1108/LHT-04-2022-0222
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Information and communication technologies’ (ICTs) use among farmers in
           Qena Governorate of Upper Egypt

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      Authors: Essam Mansour
      Abstract: 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.
      Citation: Library Hi Tech
      PubDate: 2023-01-09
      DOI: 10.1108/LHT-11-2021-0422
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2023)
       
  • Editorial: Special selection on advances in learning technologies

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      Authors: Kevin K.W. Ho, Dickson K.W. Chiu
      Abstract: Editorial: Special selection on advances in learning technologies
      Citation: Library Hi Tech
      PubDate: 2023-11-07
      DOI: 10.1108/LHT-12-2023-590
      Issue No: Vol. 41, No. 6 (2023)
       
 
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