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Library Hi Tech
Journal Prestige (SJR): 0.427
Citation Impact (citeScore): 1
Number of Followers: 1121  
 
Hybrid Journal Hybrid journal   * Containing 3 Open Access Open Access article(s) in this issue *
ISSN (Print) 0737-8831
Published by Emerald Homepage  [362 journals]
  • MSQ: a mobile and social-based Q&A system

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      Authors: Yung-Ting Chuang , Ching-Hsien Wang
      Abstract: The purpose of this paper is to propose a mobile and social-based question-and-answer (Q&A) system that analyzes users' social relationships and past answering behavior, considers users' interest similarity and answer quality to infer suitable respondents and forwards the questions to users that are willing to give high quality answers. This research applies first-order logic (FOL) inference calculation to generate question/interest ID that combines a users' social information, interests and social network intimacy to choose the nodes that can provide high-quality answers. After receiving a question, a friend can answer it, forward it to their friends according to the number of TTL (Time-to-Live) hops, or send the answer directly to the server. This research collected data from the TripAdvisor.com website and uses it for the experiment. The authors also collected previously answered questions from TripAdvisor.com; thus, subsequent answers could be forwarded to a centralized server to improve the overall performance. The authors have first noticed that even though the proposed system is decentralized, it can still accurately identify the appropriate respondents to provide high-quality answers. In addition, since this system can easily identify the best answerers, there is no need to implement broadcasting, thus reducing the overall execution time and network bandwidth required. Moreover, this system allows users to accurately and quickly obtain high-quality answers after comparing and calculating interest IDs. The system also encourages frequent communication and interaction among users. Lastly, the experiments demonstrate that this system achieves high accuracy, high recall rate, low overhead, low forwarding cost and low response rate in all scenarios. This paper proposes a mobile and social-based Q&A system that applies FOL inference calculation to analyze users' social relationships and past answering behavior, considers users' interest similarity and answer quality to infer suitable respondents and forwards the questions to users that are willing to give high quality answers. The experiments demonstrate that this system achieves high accuracy, high recall rate, low overhead, low forwarding cost and low response rate in all scenarios.
      Citation: Library Hi Tech
      PubDate: 2022-11-29
      DOI: 10.1108/LHT-06-2022-0284
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The ecosystem of research tools for scholarly communication

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      Authors: Purnima Rao , Satish Kumar , Weng Marc Lim , Akshat Aditya Rao
      Abstract: Numerous research tools exist but their usage among researchers across the different phases of the research cycle of scholarly communication remains unknown. This research aims to address this knowledge gap by mapping the research tools frequently used by global researchers against the various phases of the research cycle of scholarly communication. This research adopts a descriptive research design and conducts a cross-tabulation of secondary data consisting of 20,663 useable responses in a global survey of research tools for scholarly communication. This research also administered a survey to academic experts to classify the research tools according to traditional, modern, innovative and experimental categories. This research reveals the six phases of the research cycle (i.e. discovery, analysis, writing, publication, outreach and assessment) and the research tools of scholarly communication frequently used by researchers worldwide in each phase as a whole and by roles, disciplines, regions and career stages. Notably, this research indicates that most of the research tools used by researchers are classified as “modern” and “innovative”. The original insights herein should be useful for both established and early career researchers to gain and share research insights, as well as policymakers and existing and aspiring service providers who wish to improve the utility and usage of research tools for scholarly communication. Notably, this research represents a seminal endeavor at enhancing a global survey (secondary research) using a follow-up expert survey (primary research), which enabled the organization of research tools for scholarly communication into four refined categories. In doing so, this research contributes finer-grained insights that showcase the importance of keeping up with the advancement of technology through the use of modern, innovative and experimental research tools, thereby highlighting the need to go beyond traditional research tools for scholarly communication.
      Citation: Library Hi Tech
      PubDate: 2022-11-23
      DOI: 10.1108/LHT-05-2022-0259
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Impact of information credibility on social media information adoption
           behavior: a systematic literature review

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      Authors: Asim Mehmood Khan , Saira Hanif Soroya , Khalid Mahmood
      Abstract: The purpose of this systematic literature review was to collect and review the studies published worldwide in English language presenting the persuasive role of information/content credibility (IC) on the information adoption behavior (IAB) of social media users. The relevant literature was searched by the reviewers from two specialized databases, i.e. Library, Information Science and Technological Abstract (LISTA) and Library and Information Science Abstracts (LISA), whereas five general databases, i.e. Emerald, Springer Link, Taylor and Francis Online, ProQuest Dissertations and Theses Global and Google Scholar, using the Internet (portal) services available at the two Pakistani universities, i.e. University of Sargodha and the University of the Punjab. The search was updated in February 2022. The results of this study revealed that there was a significant impact of IC over the IAB of social media users. This study is the first of its nature that aims to collect and present a systematic review of the literature based on empirical evidence of the influential role of IC on the IAB of social media users.
      Citation: Library Hi Tech
      PubDate: 2022-11-16
      DOI: 10.1108/LHT-03-2022-0165
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Counterattacking long videos: exploring the characteristics of popular
           instant videos and roles of producers and viewers

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      Authors: Yanyan Chi , Eunil Park
      Abstract: Recently, analyses of the characteristics of viral content in the social media field have attracted considerable attention. However, the influence of instant videos has grown significantly, and most social media platforms have begun to introduce them. The authors conducted a series of independent-samples t-tests using a large-scale data set collected from the YouTube Shorts platform to identify the characteristics of popular instant videos and discussions surrounding them. The authors further analyzed how they differ from other viral content. The results indicate that viewers leave varied variety of comments based on the topic of conversation in the community, rather than on the video itself. Furthermore, video producers and viewers attempt to reach a consensus in a straightforward and intuitive manner. All analyzed texts contained appropriate attitudes and tendencies according to their roles on the platform. This study aimed to discover and understand the video and conversational characteristics of popular instant videos, which differ from the existing widely known viral content.
      Citation: Library Hi Tech
      PubDate: 2022-11-03
      DOI: 10.1108/LHT-05-2022-0230
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Data mining analytics investigation on TikTok users' behaviors: social
           media app development

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      Authors: Shu-hsien Liao , Retno Widowati , Ching-Yu Lee
      Abstract: TikTok, a social media application (app), was originally positioned as a short music video community suitable for young users, and the app is user-generated content (UGC) short video of vertical music. Users can make their own creative videos. Following the rhythm of the music, users can shoot various video content, personal talents, life records, performances, dances, plot interpretations, etc. However, what are the profiles and preferences of TikTok users, whereby the social media app is mainly developed by UGC' What is the impact of TikTok on the development of social media' In addition, what is UGC's social media model for user interactions in social networks' The purpose of this paper is to address and study these proposed issues. All questionnaire items are designed as nominal and ordinal scales (not Likert scale). The obtained data from questionnaires are put into the relational database (N = 2,011). This empirical study takes Taiwan TikTok users as the research object, implements data mining analytics to generate user profiles through clustering analysis and further uses association rules’ analysis to analyze social media apps in social network interaction and social apps’ development by proposing two patterns and several meaningful rules. This study finds that social media apps is a valuable practical research topic on online social media development. In addition, besides the TikTok, the authors eagerly await subsequent research to provide more valuable findings of social media apps in both theory and practice. This study presents the research evidences that social media apps such as TikTok will be able to transcend the current development pattern of social media and make good use of the media and technology innovation of apps in social development and social informatics.
      Citation: Library Hi Tech
      PubDate: 2022-10-28
      DOI: 10.1108/LHT-08-2022-0368
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Characteristics analysis and evaluation of discourse leading for
           academic journals: perspectives from multiple integration of altmetrics
           indicators and evaluation methods

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      Authors: Xu Wang
      Abstract: Under the background of open science, this paper integrates altmetrics data and combines multiple evaluation methods to analyze and evaluate the indicators' characteristics of discourse leading for academic journals, which is of great significance to enrich and improve the evaluation theory and indicator system of academic journals. This paper obtained 795,631 citations and 10.3 million altmetrics indicators data for 126,424 published papers from 151 medicine, general and internal academic journals. In this paper, descriptive statistical analysis and distribution rules of evaluation indicators are first carried out at the macro level. The distribution characteristics of evaluation indicators under different international collaboration conditions are analyzed at the micro level. Second, according to the characteristics and connotation of the evaluation indicators, the evaluation indicator system is constructed. Third, correlation analysis, factor analysis, entropy weight method and TOPSIS method are adopted to evaluate and analyze the discourse leading in medicine, general and internal academic journals by integrating altmetrics. At the same time, this paper verifies the reliability of the evaluation results. Six features of discourse leading integrated with altmetrics indicators are obtained. In the era of open science, online academic exchanges are becoming more and more popular. The evaluation activities based on altmetrics have fine-grained and procedural advantages. It is feasible and necessary to integrate altmetrics indicators and combine the advantages of multiple methods to evaluate the academic journals' discourse leading of which are in a diversified academic ecosystem. This paper uses descriptive statistical analysis to analyze the distribution characteristics and distribution rules of discourse leading indicators of academic journals and to explore the availability of altmetrics indicators and the effectiveness of constructing an evaluation system. Then, combining the advantages of multiple evaluation methods, The author integrates altmetrics indicators to comprehensively evaluate the discourse leading of academic journals and verify the reliability of the evaluation results. This paper aims to provide references for enriching and improving the evaluation theory and indicator system of academic journals.
      Citation: Library Hi Tech
      PubDate: 2022-10-25
      DOI: 10.1108/LHT-04-2022-0195
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Towards corpora creation from social web in Brazilian Portuguese to
           support public security analyses and decisions

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      Authors: Victor Diogho Heuer de Carvalho , Ana Paula Cabral Seixas Costa
      Abstract: This article presents two Brazilian Portuguese corpora collected from different media concerning public security issues in a specific location. The primary motivation is supporting analyses, so security authorities can make appropriate decisions about their actions. The corpora were obtained through web scraping from a newspaper's website and tweets from a Brazilian metropolitan region. Natural language processing was applied considering: text cleaning, lemmatization, summarization, part-of-speech and dependencies parsing, named entities recognition, and topic modeling. Several results were obtained based on the methodology used, highlighting some: an example of a summarization using an automated process; dependency parsing; the most common topics in each corpus; the forty named entities and the most common slogans were extracted, highlighting those linked to public security. Some critical tasks were identified for the research perspective, related to the applied methodology: the treatment of noise from obtaining news on their source websites, passing through textual elements quite present in social network posts such as abbreviations, emojis/emoticons, and even writing errors; the treatment of subjectivity, to eliminate noise from irony and sarcasm; the search for authentic news of issues within the target domain. All these tasks aim to improve the process to enable interested authorities to perform accurate analyses. The corpora dedicated to the public security domain enable several analyses, such as mining public opinion on security actions in a given location; understanding criminals' behaviors reported in the news or even on social networks and drawing their attitudes timeline; detecting movements that may cause damage to public property and people welfare through texts from social networks; extracting the history and repercussions of police actions, crossing news with records on social networks; among many other possibilities. The work on behalf of the corpora reported in this text represents one of the first initiatives to create textual bases in Portuguese, dedicated to Brazil's specific public security domain.
      Citation: Library Hi Tech
      PubDate: 2022-10-25
      DOI: 10.1108/LHT-08-2022-0401
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Too close to lie to you: investigating availability management on multiple
           communication tools across different social relationships

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      Authors: Chien Wen (Tina) Yuan , Nanyi Bi
      Abstract: In a world where different communication technologies support social connection, managing unavailability is as important as, if not more important than, managing availability. The need to manage unavailability becomes increasingly critical when users employ several communication tools to interact with various ties. A person's availability information disclosure may depend on different social relationships and the technologies used by the person. The study contributes to the literature by drawing on privacy management theory to investigate how users practice availability management and use its deceptive form, which is sometimes called a butler lie, with various ties across different messaging applications (apps) as part of their online privacy. Relevant factors in mediated communication, including facework, common ground, and interpersonal trust, are included in the developed model. The authors conducted an online survey (n = 475) to explore the relationship between one's contact with different interactants (significant others, family members, close friends, acquaintances, groups of friends, and groups of acquaintances) and one's practice of availability management and use of butler lies with these interactants at different size levels on various messaging apps. Factors such as facework, privacy related to technology, and privacy related to social relationships affect the practice of availability management and the use of butler lies. Notably, butler lies are used most frequently with acquaintances and groups of acquaintances and least frequently with significant others. Moreover, the practice of availability management and the use of butler lies are negatively moderated by people's conversational grounding and trust. The study examined the practice of cross-app availability management with diverse social ties on mobile technologies, which is a socio-informatic practice that is widely adopted in the contemporary digital landscape but on which limited scientific and theoretic research has been conducted. No research has directly investigated users' availability management across multiple apps from a relational perspective. Building on the theoretical framework of privacy management, the paper aims to bridge the gap in the relevant literature. The results of this study can serve as a reference for library professionals to develop information literacy programs according to users' availability management needs. The results also provide insights to system designers for developing messaging tools.
      Citation: Library Hi Tech
      PubDate: 2022-10-13
      DOI: 10.1108/LHT-01-2022-0080
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Learning behavior in augmented reality–mediated mobile
           game–based learning

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      Authors: Ya-Lun Yu , Ting Ting Wu , Yueh-Min Huang
      Abstract: This paper aims to investigate whether the effects of children's current learning are related to their learning efficiency and behavior when they are exposed to two different gaming media. In this paper the authors used a quasi-experimental design to determine whether game-based learning can be improved by using mobile devices equipped with augmented reality (AR). The control group using the card game was careful to find the correct answer, with the intention of “obtaining the maximum score with the highest rate of correctness,” whereas the experimental group using the AR board game played aggressively by “obtaining the maximum score with the highest number.” Although integrating an AR board game into the curriculum is an effective approach, the need to implement such a game in response to different learning attitudes and behaviors of students should be addressed. Depending on the learning situation, different teaching methods and aids can be used to help students effectively learn. The recommendations based on this experiment can broaden the teaching field and allow for a wider range of experimental studies. Learning behavior was observed, and user attention was interpreted using MindWave Mobile.
      Citation: Library Hi Tech
      PubDate: 2022-10-13
      DOI: 10.1108/LHT-03-2022-0122
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Mapping the literature on the application of artificial intelligence in
           libraries (AAIL): a scientometric analysis

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      Authors: Dhruba Jyoti Borgohain , Raj Kumar Bhardwaj , Manoj Kumar Verma
      Abstract: Artificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is applied in all spheres of life as reflected in the review of the literature section here. As applicable in the field of libraries too, this study scientifically mapped the papers on AAIL and analyze its growth, collaboration network, trending topics, or research hot spots to highlight the challenges and opportunities in adopting AI-based advancements in library systems and processes. The study was developed with a bibliometric approach, considering a decade, 2012 to 2021 for data extraction from a premier database, Scopus. The steps followed are (1) identification, selection of keywords, and forming the search strategy with the approval of a panel of computer scientists and librarians and (2) design and development of a perfect algorithm to verify these selected keywords in title-abstract-keywords of Scopus (3) Performing data processing in some state-of-the-art bibliometric visualization tools, Biblioshiny R and VOSviewer (4) discussing the findings for practical implications of the study and limitations. As evident from several papers, not much research has been conducted on AI applications in libraries in comparison to topics like AI applications in cancer, health, medicine, education, and agriculture. As per the Price law, the growth pattern is exponential. The total number of papers relevant to the subject is 1462 (single and multi-authored) contributed by 5400 authors with 0.271 documents per author and around 4 authors per document. Papers occurred mostly in open-access journals. The productive journal is the Journal of Chemical Information and Modelling (NP = 63) while the highly consistent and impactful is the Journal of Machine Learning Research (z-index=63.58 and CPP = 56.17). In the case of authors, J Chen (z-index=28.86 and CPP = 43.75) is the most consistent and impactful author. At the country level, the USA has recorded the highest number of papers positioned at the center of the co-authorship network but at the institutional level, China takes the 1st position. The trending topics of research are machine learning, large dataset, deep learning, high-level languages, etc. The present information system has a high potential to improve if integrated with AI technologies. The number of scientific papers has increased over time. The evolution of themes like machine learning implicates AI as a broad field of knowledge that converges with other disciplines. The themes like large datasets imply that AI may be applied to analyze and interpret these data and support decision-making in public sector enterprises. Theme named high-level language emerged as a research hotspot which indicated that extensive research has been going on in this area to improve computer systems for facilitating the processing of data with high momentum. These implications are of high strategic worth for policymakers, library stakeholders, researchers and the government as a whole for decision-making. The analysis of collaboration, prolific authors/journals using consistency factor and CPP, testing the relationship between consistency (z-index) and impact (h-index), using state-of-the-art network visualization and cluster analysis techniques make this study novel and differentiates it from the traditional bibliometric analysis. To the best of the author's knowledge, this work is the first attempt to comprehend the research streams and provide a holistic view of research on the application of AI in libraries. The insights obtained from this analysis are instrumental for both academics and practitioners.
      Citation: Library Hi Tech
      PubDate: 2022-10-04
      DOI: 10.1108/LHT-07-2022-0331
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Exploring gender differences in foreign domestic helpers' mobile
           information usage

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      Authors: Noyenim Mercy Ezeamuzie , Anthony Hae Ryong Rhim , Dickson K.W. Chiu , Mavis Man-Wai Lung
      Abstract: With the increasing computation and communication speed of mobile devices, their use and roles have been repositioned to act more than a communication tool. Around 0.4 million foreign domestic helpers (FDHs) form an integral part of Hong Kong society and have the highest concentrations of FDHs worldwide, but scant studies focus on their mobile technology usage. This study aims to discuss the aforementioned issue. This research investigated mobile technology usage by 145 FDHs in Hong Kong with a quantitative survey, covering their actual mobile technology usage, perceptions, influences and adoption barriers. Besides communication and connection with friends and family, participants used mobile technology for information seeking, productivity, utility and entertainment. Perception of usefulness was the greatest influence, and they would use any mobile technology once its basic function supports their daily needs. They considered no “very serious barrier,” though data tariff was their biggest concern. Overall, there were some significant differences between genders in the usage of mobile technologies. Scant studies focus on the mobile technology usage of FDHs. The results reveal the usefulness of mobile technologies to FDHs for government policy-making and for employers and employment agencies to better support the FHDs' daily lives.
      Citation: Library Hi Tech
      PubDate: 2022-10-04
      DOI: 10.1108/LHT-07-2022-0350
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A bibliometric analysis of domestic and international research on maker
           education in the post-epidemic era

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      Authors: Xin Feng , Yue Zhang , Linjie Tong , Huan Yu
      Abstract: This paper aims to straighten out the research progress in the field of maker education, summarize the research hotspots and frontiers of maker education at home and abroad and provide path optimization suggestions for the research and development of this field. In total, 751 pieces of domestic and the foreign maker education research literature from 2014 to 2021 are retrieved and screened, and literature analysis methods such as keyword analysis and clustering map analysis are used to quantitatively analyze the quantity distribution, published journals, core authors, research institutions and subject keywords of the maker education literature. It is found that research in this field is still in the development stage, but the pandemic has severely inhibited maker education and related research. Frontiers at home and abroad have begun to pay attention to the impact of humanistic care on maker education. Strengthening the dialog between multidisciplinary theories requires cross-disciplinary research. Regional and cross-field cooperation and fully grasping the actual situation and constraints of the development of maker education are the cornerstones of bold innovation in maker education research. This paper uses bibliometric analysis to reveal the severe challenges to the development of maker education due to the normalization of the epidemic. By excavating the research hotspots and research frontiers in this field, it fills the gap that the current research in the field of maker education has not yet formed a complete theoretical framework and evaluation system.
      Citation: Library Hi Tech
      PubDate: 2022-10-03
      DOI: 10.1108/LHT-04-2022-0187
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Personal factors and the role of memory in faculty refinding of stored
           information

         This is an Open Access Article Open Access Article

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      Authors: Williams Ezinwa Nwagwu , Antonia Bernadette Donkor
      Abstract: The study examined the personal information management (PIM) challenges encountered by faculty in six universities in Ghana, their information refinding experiences and the perceived role of memory. The study tested the hypothesis that faculty PIM performance will significantly differ when the differences in the influence of personal factors (age, gender and rank) on their memory are considered. The study was guided by a sample survey design. A questionnaire designed based on themes extracted from earlier interviews was used to collect quantitative data from 235 faculty members from six universities in Ghana. Data analysis was undertaken with a discrete multivariate Generalized Linear Model to investigate how memory intermediates in the relationship between age, gender and rank, and, refinding of stored information. The paper identified two subfunctions of refinding (Refinding 1 and Refinding 2) associated with self-confidence in information re-finding, and, memory (Memory 1 and Memory 2), associated with the use of complimentary frames to locate previously found and stored information. There were no significant multivariate effects for gender as a stand-alone variable. Males who were aged less than 39 could refind stored information irrespective of the memory class. Older faculty aged 40–49 who possess Memory 1 and senior lecturers who possess Memory 2 performed well in refinding information. There was a statistically significant effect of age and memory; and rank and memory. This study was limited to faculty in Ghana, whereas the study itself has implications for demographic differences in PIM. Identifying how memory mediates the role of personal factors in faculty refinding of stored information will be necessary for the efforts to understand and design systems and technologies for enhancing faculty capacity to find/refind stored information. Understanding how human memory can be augmented by technology is a great PIM strategy, but understanding how human memory and personal factors interplay to affect PIM is more important. PIM of faculty has been extensively examined in the literature, and limitations of memory has always been identified as a constraint. Human memory has been augmented with technology, although the outcome has been very minimal. This study shows that in addition to technology augmentation, personal factors interplay with human memory to affect PIM. Discrete multivariate Generalized Linear Model applied in this study is an innovative way of addressing the challenges of assimilating statistical methodologies in psychosocial disciplines.
      Citation: Library Hi Tech
      PubDate: 2022-10-03
      DOI: 10.1108/LHT-08-2021-0268
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Research into influencing factors in user experiences of university mobile
           libraries based on mobile learning mode

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      Authors: Tan Jiang , Guang Luo , Zikai Wang , Wenhui Yu
      Abstract: The purpose of this study is to analyse and discuss the influencing factors of user experience in university mobile libraries and the improvement path of user experience in the context of mobile learning. The study adopted the grounded theory research method, and the sample included 28 students from five universities, with mobile libraries as the research objects and semi-structured interview as data acquisition method. A step-by-step coding analysis of the original interview materials was conducted, which comprehensively identified the main concerns and problems encountered by users of the university mobile library apps especially in the mobile learning behaviour mode, and then a theoretical model of the influencing factors of the app user experience of the university mobile library was constructed. A theoretical model of influencing factors was constructed, which determined that system quality, interaction quality, content quality, interface quality and function quality were the key elements of mobile library user experiences. Furthermore, based on the research results and user feedback obtained in the research process, the content and key points relating to the user experience can be elaborated in detail. In addition, this study was able to determine users' perspectives and their behavioural characteristics when engaging in mobile learning. This study establishes a theoretical model of the factors influencing of the user experience of university mobile libraries based on mobile learning, which could provide a valuable reference for the design of other programs and strategies to promote user learning experiences of mobile library app in colleges and universities.
      Citation: Library Hi Tech
      PubDate: 2022-09-21
      DOI: 10.1108/LHT-11-2021-0423
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Libraries respond to the COVID-19 pandemic: drawing a science map of
           published articles

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      Authors: Somayyeh Nadi-Ravandi , Zahra Batooli
      Abstract: The lockdown of libraries has led to changes in the delivery of services. Reviewing many studies in this regard appears to be of great importance. Thus, this study aims to analyze the articles related to libraries and COVID-19 using the co-occurrence analysis. The current study is applied in terms of purpose and scientometrics in terms of type, which has been conducted using a retrospective bibliometric analysis method and drawing a science map. The relevant keywords were searched in the Scopus and 225 articles were reviewed in terms of author, year of publication, journal, organization and subject. Then, the VOSviewer software was used to analyze and illustrate the keywords and draw the scientific map of the articles. The results showed that 225 articles by 496 authors from 66 countries and 379 organizations were published in the subject area of libraries and COVID-19. These articles have received 620 citations. The co-occurrence analysis of words showed that these scientific productions are classified into four clusters: “The role of libraries and librarians”, “The use of media, social network and communication technologies in order provide library services”, “Online Library Services” and “Infodemic and misinformation in the COVID-19 Pandemic”. It is the first time during the COVID-19 pandemic that a scientific map has been drawn up of studies that have examined the role of libraries in this pandemic. The results of the present study may help libraries to access what they need to consider in any crisis.
      Citation: Library Hi Tech
      PubDate: 2022-09-16
      DOI: 10.1108/LHT-04-2022-0209
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Examining the influence of the performance of mobile devices on teaching
           quality based on the technological acceptance mode

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      Authors: Xiaozhong Chen , Rongli Chen
      Abstract: This study aims to examine the effects of iPad distribution on all teachers in a university and its application in teaching and student learning at home via wireless network during the coronavirus (COVID-19) pandemic. The attitude towards the use of iPads, behavioural intentions and the impact on the quality of teaching were evaluated. This study used the technology acceptance model to explore the use of iPad smart mobile devices in multimedia teaching applications by university teachers. Furthermore, it used the structural equation modelling (SEM) for data analysis to explore the causal relationship between model variables, and it aimed to examine the causal relationship between variables to verify the theory. The SEM analysis included the following two stages: measurement model analysis and structural model analysis. The “Internet information environment” had a significant positive impact on “perceived usefulness” and “perceived ease of use”. Amongst them, perceived usefulness had a significant positive effect on the use attitude, and use attitude had a significant positive effect on behaviour intention. The findings confirmed that a good information network environment will directly and positively affect the perceived usefulness and the ease of use of iPad smart devices, of which the perceived usefulness will further positively affect teachers' perception of iPad smart devices. The attitude and behaviour of using such devices will in turn positively affect the quality of teaching. The results of the quality performance evaluation can be referenced further by manufacturers and scholars regarding the use of iPad smart devices for work at home during the COVID-19 pandemic.
      Citation: Library Hi Tech
      PubDate: 2022-09-15
      DOI: 10.1108/LHT-12-2021-0489
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The effect of student self-efficacy on learning outcomes in a business
           simulation mobile game: a quasi-experimental study

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      Authors: Qixing Yang , Quan Chen , Jingan Wang , Ruiqiu Ou
      Abstract: This study has two objectives: to explore the factors that influence student self-efficacy regarding engagement and learning outcomes in a business simulation game course and to compare the difference between hierarchical and general teaching methods. From September 2021 to May 2022, a questionnaire was administered to 126 students in a business simulation game course at the Zhongshan Institute, University of Electronic Science and Technology of China. Data were analyzed using nonparametric paired samples tests and linear regression. The results showed that student self-efficacy, engagement and learning outcomes were significantly higher with the hierarchical teaching method than with the general teaching method. There were also differences in the factors that influenced self-efficacy regarding learning outcomes between the two teaching methods. With the general teaching method, student self-efficacy did not directly affect learning outcomes, but did so indirectly by mediating the effect of engagement. However, with the hierarchical teaching method, self-efficacy directly and significantly affected learning outcomes, in addition to indirectly affecting learning outcomes through student engagement. Compared with the control group experimental research method, the quasi-experimental research method can eliminate the influence of sample heterogeneity itself, but the state of the same sample may change at different times, which is not necessarily caused by the hierarchical teaching design. Based on the results of this study, teachers can apply hierarchical teaching according to student ability levels when integrating business simulation games. The results of this study can inspire teachers to protect student self-confidence and make teaching objectives and specific requirements clear in the beginning of the course, and also provide an important practical suggestion for students on how to improve their course performance. The research results can be extended to other courses. Teachers can improve students' self-efficacy through hierarchical teaching design, thus improving students' learning performance and also provide reference value for students to improve their learning performance. This study built a model based on self-system model of motivational development (SSMMD) theory, comparing factors that affect student self-efficacy regarding learning outcomes under different teaching methods. The model enriches the literature on SSMMD theory as applied to business simulation game courses and adds to our understanding of hierarchical teaching methods in this field. The results provide a valuable reference for teachers that can improve teaching methods and learning outcomes.
      Citation: Library Hi Tech
      PubDate: 2022-09-12
      DOI: 10.1108/LHT-02-2022-0114
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • University life has gone digital: influences of institutional mobile
           social network use during the COVID-19 emergency

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      Authors: Colin Conrad , Rachel Moylan , Gabriel O. Diaz
      Abstract: Many universities implemented institutional social networking apps as an alternative to in-person social experiences during the COVID-19 pandemic. Therefore, this study aims to explore previously identified factors that influenced intentions to form collective actions, also known as we-intentions, on such social networking apps and their influence on student satisfaction with the app artifact. Students from across a large university were invited to participate in a survey. Responses from 915 students who reported using the app were analyzed using a maximum likelihood covariance-based structural equation model. Analysis was conducted using the R programming language's psych, lavaan, and semTools packages. The authors found that we-intentions are positively associated with recent app use and with student satisfaction with the app. Group norms were found to significantly influence the formation of we-intentions, while social identity is positively associated with both we-intentions and satisfaction. The paper provides evidence that past research generalizes to the context of university mobile social networks and identifies a relationship between we-intentions and satisfaction in this context. It also provides practical insight into factors that influence we-intentions, and subsequently students' online education experience, in the context of a university's institutional mobile social network.
      Citation: Library Hi Tech
      PubDate: 2022-09-08
      DOI: 10.1108/LHT-12-2021-0458
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The evolution of e-government research over two decades: applying
           bibliometrics and science mapping analysis

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      Authors: Mina Ramzy , Bahaa Ibrahim
      Abstract: This study uses a bibliometric approach to analyze the overall status of e-government research by revealing patterns and trends that would help gain a broad understanding of global developments in the field and future directions. All documents related to e-government published from 2000 to 2019 were extracted from the Scopus and the Digital Government Reference Library databases. Bibexcel, Biblioshiny, and VOSviewer were used to perform the analyses and visualize the science mapping. The results showed that 21,320 documents related to e-government research were published and cited 263,179 times. The annual growth rate of e-government research has reached 21.50%. The regression analysis showed that the growth rate is expected to increase gradually over the coming years. Despite the significant role that conference papers play in the e-government literature, the impact of articles far exceeds conference papers. The University of Albany (SUNY) has played an important role in e-government research in terms of production and impact. Furthermore, the study revealed some countries that are expected to play a prominent role in e-government research, as well as several topics that may attract more attention soon. The results presented in this study and the comprehensive picture obtained about the e-government field make it an effective supplement to the expert evaluation. Thus, researchers, research managers, policymakers, institutions, funding agencies, and governments can rely on it.
      Citation: Library Hi Tech
      PubDate: 2022-09-07
      DOI: 10.1108/LHT-02-2022-0100
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Hong Kong academic librarians' attitudes toward robotic process automation

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      Authors: Chia-Hua Lin , Dickson K.W. Chiu , Ki Tat Lam
      Abstract: This research investigates Hong Kong academic librarians' attitudes toward robotic process automation (RPA) and their willingness to learn this technology. This qualitative study collected data through one-on-one semi-structured interviews conducted with video conferencing software. After participants received basic RPA information and three existing library application cases, they answered questions based on the interview guide. This research used the inductive thematic analysis method to analyze the collected data. Regarding Hong Kong academic librarians' attitudes towards RPA, 19 themes were identified. Although all participants did not have previous knowledge of RPA, most showed positive attitudes toward implementing RPA in their libraries and some willingness to learn it. Besides, among all identified themes, negative attitudes mainly comprised “Affect” and “Cognition” factors, hindering RPA deployment in academic libraries. This research helps librarians and RPA vendors make better decisions or strategies for implementing RPA for libraries, which has not been explored, especially in East Asia.
      Citation: Library Hi Tech
      PubDate: 2022-09-07
      DOI: 10.1108/LHT-03-2022-0141
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Digital media recording and broadcasting classroom using Internet
           intelligent image positioning and opinion monitoring in communication

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      Authors: Huanchao Wu
      Abstract: The digital media recording and broadcasting classroom using Internet real-time intelligent image positioning and opinion monitoring in communication teaching is researched and analyzed. First, spatial grid positioning and monitoring and image intelligent recognition technologies were used to extract and analyze teaching images by mastering Internet of Things (IoT) technology and establishing an intelligent image positioning and opinion monitoring digital media recording and broadcasting system framework. Next, a positioning node algorithm was utilized to measure the image distance, and then a moving node location model under the IoT was established. In addition, a radial basis function (RBF) neural network was used to realize the signal transmission function. The experimental data of the adopted RBF based on the optimization of the adaptive cuckoo search (ACS-RBF) neural network, particle swarm algorithm neural network, and method of least squares optimization were compared and analyzed. In addition, a more efficient RBF neural network was adopted. Finally, the digital media recording and broadcasting classroom scheme of real-time intelligent image positioning and opinion monitoring was designed. In addition, the application environment of digital media actual teacher teaching was detected, and recording and broadcasting pictures were analyzed and researched. The actual value, predicted value, and the number of predicted samples of the ACS-RBF model were all better than those of the two other neural networks. According to the analysis and comparison of the sampling optimization Monte Carlo localization (SOMCL), Monte Carlo, and genetic algorithm optimization-based Monte Carlo positioning algorithms, the SOMCL algorithm showed better robustness, and its positioning efficiency was superior to that of the two other algorithms. In addition, the SOMCL algorithm greatly reduced the positioning and monitoring energy consumption. The application of real-time intelligent image positioning and monitoring technology in actual communication teaching was realized in the study.
      Citation: Library Hi Tech
      PubDate: 2022-09-07
      DOI: 10.1108/LHT-09-2021-0315
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Implementation and evaluation of the school's COVID-19 prevention website

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      Authors: Jui-Hung Chang , Chi-Jane Wang , Hua-Xu Zhong , Pei-Wen Chen , Ai-Jou Pan , Po-Sheng Chiu
      Abstract: The purpose of this study is to investigate the effects of the Perceptions of coronavirus 2019 (COVID-19) questionnaire and the Information System Success Questionnaire on students when using the school's COVID-19 epidemic prevention website. The study is aimed toward analyzing both questionnaires as well as evaluating an epidemic prevention website. The school's COVID-19 prevention website and two questionnaires (Perceptions of COVID-19 and the Information System Success Questionnaire) are examined in order to investigate 73 students' COVID-19 perceptions. An open-ended question was used as the qualitative data to support quantitative data and evaluate a university's COVID-19 epidemic prevention website from a southern university in Taiwan. The findings indicated that most students evaluated the school's COVID-19 website positively and were satisfied. In the open-ended questions, the majority of students rated the quality of the system positively and the need to fix some defects. Students have different COVID-19 perceptions and social distance compliance based on their current situations. This study provides researchers and website developers a broader understanding of the construction of the school's COVID-19 prevention website and a better understanding of student's COVID-19 perceptions. To the best of the authors' knowledge, this is the first study examining a school's epidemic prevention website, which is measured by the Information Success Questionnaire and the Perceptions of COVID-19 Questionnaire for college students.
      Citation: Library Hi Tech
      PubDate: 2022-09-06
      DOI: 10.1108/LHT-10-2021-0348
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Research hotspots and prospects of ethics education of science
           and technology in China based on bibliometrics

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      Authors: Xu Wang , Xin Feng , Kaixuan Guo
      Abstract: Quantitative analysis of existing literature is conducted to compare the textual features of ethics education in science and technology under the broad theme of ethics in science and technology. On this basis, the authors reveal the research hotspots and topic evolution in this field, and propose development suggestions in conjunction with the 5W theory. In this paper, the authors visualize the graph and quantify the indicators in four aspects: time series, institutional collaboration, author co-authorship, and research hotspots. Compared to ethics of science and technology, the research results in the field of ethics of science and technology education are limited. There is still room for improvement in the low density of cooperation between authors and institutions. The research themes are focused on theoretical discussions and countermeasure research. At present, the reform of ethics of science and technology is still in its infancy and has not yet formed a perfect system for education and personnel training. It is necessary for research on the ethical theory of technology to provide theoretical support. In the context of sustainable development strategies, it is beneficial to explore the path of pedagogical optimization of ethics of science and technology in this study. This includes the maintenance of a good research environment and the realization of a healthy development in the field of science and technology.
      Citation: Library Hi Tech
      PubDate: 2022-08-30
      DOI: 10.1108/LHT-06-2022-0298
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Factors of dropout from MOOCs: a bibliometric review

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      Authors: Wei Wang , Yongyong Zhao , Yenchun Jim Wu , Mark Goh
      Abstract: Although MOOCs have become a pervasive online learning model, the problem of high dropout rates still persists. Gathering the reasons for the high dropout rate can help to improve the platform design and management of the MOOCs. A total of 74 studies was extracted from the Web of Science and Scopus. Following the PRISMA (Preferred Reporting Items for systematic Reviews and Meta-Analyses) guidelines, the open-source program CiteSpace is employed to review and induce the studies on the antecedents of MOOC dropout. The antecedents of the MOOC dropout rate are the psychological, social, personal, course-related, and time factors, and the unexpected hidden cost. Motivation and interaction, which have a decisive impact on the dropout rate of MOOCs, interact with each other. Interaction helps to strengthen the motivation, and appropriate course design enhances the degree of interaction. From the perspective of a learner, the more knowledge and skills the learners acquire, the more likely they will complete the course. Possessing adequate foundational knowledge is one way to arrest the dropout rate. On the part of the MOOC platform, better course design eases the dropout rate. Further, the course duration and hidden cost in MOOCs contribute to the dropout rate.
      Citation: Library Hi Tech
      PubDate: 2022-08-30
      DOI: 10.1108/LHT-06-2022-0306
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Social networking sites adoption among entrepreneurial librarians for
           globalizing startup business operations

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      Authors: Varun Gupta , Luis Rubalcaba , Chetna Gupta , Leandro Pereira
      Abstract: The purpose of this study is to identify the factors leading to adoption of social networking sites (SNS) by librarians of entrepreneurial libraries to provide support to business community in their market research. Identification of these adoption factors will help to design SNS in the way that led to their seamless diffusion in university libraries, making them capable of providing reliable and useful market knowledge to the business community. To meet the research objectives, this study is based on the technology adoption model (TAM). The survey was conducted with 50 librarians of various universities across Europe, Asia, America, Africa and Australia, sampled through non probabilistic sampling techniques-purposive and snowball sampling. The collected data are analyzed through partial least squares structural equation modeling (PLS-SEM) to estimate the formulated structural equation model using SmartPLS 3.2.9 software version. The results indicate that university librarians have high perception about usefulness and ease of using SNS for meeting their business objectives. The perceived usefulness (PU) is solely based on the prolonged adoption of SNS technology in personal lives of the librarians. The perceived ease of use (PEU) is triggered by the increasing quality of evolving SNS technology, especially user friendliness. The prolonged use of technology, increasing market entry of brands and improving quality of SNS will overcome librarian resistance to use SNS for market research related support to business community. Evolving technologies are more likely to be adopted seamlessly in entrepreneurial libraries. This study has implications for librarians, entrepreneurs and technology providers. Librarians should have flexible technology adoption policies in place to keep technology adoption synchronized with changing market conditions. Entrepreneurs should share clear and accurate business needs as well as practicing ethical and lawful business practices. They should also help libraries to gain new skills to make future adoption easier. Technology providers should focus on improving the quality of their technology by increasing their functional utilities, performance and reliability as well as making them more user-friendly. This study investigates technology adoption of SNS in libraries from the perspective of providing market research related services to entrepreneurs rather than just digitalizing library services for student users.
      Citation: Library Hi Tech
      PubDate: 2022-08-25
      DOI: 10.1108/LHT-05-2022-0234
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A study on application programming interface recommendation:
           state-of-the-art techniques, challenges and future directions

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      Authors: Muhammad Sajid Nawaz , Saif Ur Rehman Khan , Shahid Hussain , Javed Iqbal
      Abstract: This study aims to identify the developer’s objectives, current state-of-the-art techniques, challenges and performance evaluation metrics, and presents outlines of a knowledge-based application programming interfaces (API) recommendation system for the developers. Moreover, the current study intends to classify current state-of-the-art techniques supporting automated API recommendations. In this study, the authors have performed a systematic literature review of studies, which have been published between the years 2004–2021 to achieve the targeted research objective. Subsequently, the authors performed the analysis of 35 primary studies. The outcomes of this study are: (1) devising a thematic taxonomy based on the identified developers’ challenges, where mashup-oriented APIs and time-consuming process are frequently encountered challenges by the developers; (2) categorizing current state-of-the-art API recommendation techniques (i.e. clustering techniques, data preprocessing techniques, similarity measurements techniques and ranking techniques); (3) designing a taxonomy based on the identified objectives, where accuracy is the most targeted objective in API recommendation context; (4) identifying a list of evaluation metrics employed to assess the performance of the proposed techniques; (5) performing a SWOT analysis on the selected studies; (6) based on the developer’s challenges, objectives and SWOT analysis, presenting outlines of a recommendation system for the developers and (7) delineating several future research dimensions in API recommendations context. This study provides complete guidance to the new researcher in the context of API recommendations. Also, the researcher can target these objectives (accuracy, response time, method recommendation, compatibility, user requirement-based API, automatic service recommendation and API location) in the future. Moreover, the developers can overcome the identified challenges (including mashup-oriented API, Time-consuming process, learn how to use the API, integrated problem, API method usage location and limited usage of code) in the future by proposing a framework or recommendation system. Furthermore, the classification of current state-of-the-art API recommendation techniques also helps the researchers who wish to work in the future in the context of API recommendation. This study not only facilitates the researcher but also facilitates the practitioners in several ways. The current study guides the developer in minimizing the development time in terms of selecting relevant APIs rather than following traditional manual selection. Moreover, this study facilitates integrating APIs in a project. Thus, the recommendation system saves the time for developers, and increases their productivity. API recommendation remains an active area of research in web and mobile-based applications development. The authors believe that this study acts as a useful tool for the interested researchers and practitioners as it will contribute to the body of knowledge in API recommendations context.
      Citation: Library Hi Tech
      PubDate: 2022-08-18
      DOI: 10.1108/LHT-02-2022-0103
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Japanese industrial technological structure based on the number of patent
           applications by technical field

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      Authors: Hirokazu Yamada
      Abstract: This research outlines the technological structure of the entire Japanese manufacturing and service industry using the patent information from research and development (R&D) activities to set R&D goals. By analyzing the technological development capability of individual companies, the direction of the companies' R&D activities and current state of technological fusion between them can be understood. A group of companies participating in a particular product/service market must have the same technological development capabilities. As a result, the ratio of patent applications by a company to the total number of applications in a technical field will be similar across companies. This study uses the inter-company correlation coefficient of the ratio of patent applications by technical field as an index of technological development capability. A total of 167 major companies covering the major industries of Japan were analyzed. The analysis period was 15 years from 2004 to 2018, and the technical fields were rearranged to 42 fields with reference to the International Patent Classification (IPC)-Technology Concordance used by the World Intellectual Property Organization (WIPO). Considering the fluctuation in patent application opportunities, the number of patent applications was collected for at least three years for the analysis of patent applications by technical field, company and industry. Examining the entire Japanese industry, the research found that chemicals, ceramics, non-ferrous metals and electrical/electronic equipment act as intermediaries between the respective groups and are linked to the transportation equipment, electrical/electronic equipment and information and communication services industries that are currently driving the Japanese economy. However, the technical connections between these groups are relatively loose. Over the last 15 years, the propagation structure of technical knowledge information has not changed. The progress of technological fusion remains within the scope of commerce and is conditioned by commerce. Studies focusing on the technological development capability between companies and the technological structure of the Japanese manufacturing and service industries are almost non-existent since 2000 when Japan's economic growth slowed. The analytical methods presented in this research can be applied to individual companies to gain an understanding of technical positions of companies and can be useful for planning a technical environment, business or R&D strategy.
      Citation: Library Hi Tech
      PubDate: 2022-08-18
      DOI: 10.1108/LHT-04-2022-0188
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The impact of COVID-19 on museums in the digital era: Practices and
           challenges in Hong Kong

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      Authors: Yao Meng , Man Yin Chu , Dickson K.W. Chiu
      Abstract: During the coronavirus disease 2019 (COVID-19) pandemic, museums, as public gathering places for citizens, have encountered unprecedented difficulties due to limitations to operate as usual for their traditional exhibitions and curations. Thus, museums made corresponding emergency attempts to accelerate digital resource and service platform constructions. Such difficulties aroused many potential problems with the applicability of electronic resources and the mismatch between user expectations and museum services. This study investigates the challenges faced by Hong Kong museums under COVID-19, emergency responses and deliberate practices of Hong Kong museums from the perspective of both museum staff and visitors, and COVID-19's influence on the roles and functions of Hong Kong museums. Qualitative interviews with museum staff and visitors were conducted to collect opinions and experiences in the construction and maintenance of museums during the pandemic. Further thematic analyses of museum websites, evaluations, and suggestions were formulated guided by the PEST (Political, Economic, Social, Technological) and AIDA (Attention, Interest, Desire, Action) models. Findings revealed many online interactions and offline renovations, but the perceptions of visitors and staff differed considerably. While online resources and virtual museums were expanded and well received, long-term prohibitions and repressions drove physical visit desire. Participants emphasized finding a balance between user expectations and realistic practices. Scant studies focus on the impact of COVID-19 on the cultural industry, especially in East Asia. This study also highlights new practices of digitalization and the challenges of functional transformation. The authors' findings and suggestions provide hints to optimize the curation of information resources and improve museum service quality in the new digital era. This study also serves as a reliable and meaningful record of COVID-19 impacts on Hong Kong museums.
      Citation: Library Hi Tech
      PubDate: 2022-08-15
      DOI: 10.1108/LHT-05-2022-0273
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Bibliometrics-based visualization analysis of knowledge-based economy and
           implications to environmental, social and governance (ESG)

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      Authors: Ruihui Pu , Thitinan Chankoson , Rebecca Kechen Dong , Lingxi Song
      Abstract: This study brings knowledge economy and sharing to advance environmental, social and governance (ESG). Nevertheless, knowledge economy is a broad research field and dynamic phenomenon. To fill this lacuna, the purpose of this study is to build a link between the literature field of knowledge economy and sharing to advance each ESG limitation. To achieve this aim, the authors have (1) presented the prevailing state of research on the literature field of knowledge economy and sharing and (2) provided future research avenues for understanding the ESG. Therefore, this study has conducted a bibliometrics-based visualization analysis of literature data of 169 publications in knowledge economy field from 2010 to 2020. The authors classify findings into five clusters mapping the evolution of knowledge economy. The analytical findings indicate the linkages between these clusters with ESG, as well as the application of knowledge economy to advance ESG limitations. This study offers future research implications for knowledge management scholars and managerial suggestions to ESG practitioners. ESG is a newly emerging investment concept and corporate evaluation standard aiming at exploring a sustainable development path and striking a balance between commercial value and corporate social responsibility. But the status quo indicates identical ESG limitations due to the board of directors’ limited knowledge capacity, inconsistent and ununified ESG measurement and a lack of ESG information. In parallel, knowledge economy has increasingly created a huge higher rate of return and benefits towards this disruptive society. This study brings knowledge economy and sharing to advance ESG. Nevertheless, knowledge economy is a broad research field and dynamic phenomenon.
      Citation: Library Hi Tech
      PubDate: 2022-08-10
      DOI: 10.1108/LHT-05-2022-0241
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Impact of social media use on critical thinking ability of university
           students

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      Authors: Li Cheng , Gege Fang , Xiaoxue Zhang , Yuxiang Lv , Lingxuan Liu
      Abstract: This research aims to discover the relationship between social media usage (SMU) and the critical thinking ability (CTA) of university students, and to answer the question that whether social media dependence (SMD) affects the development of CTA, and thus providing a reference for the social media access strategy of academic libraries from the perspective of media information literacy. The research data were collected via 300 valid questionnaires whose respondents are students from three universities in China. Multistage stratified cluster sampling method was used to select the respondents, which guarantees statistical representativeness. A pre-test was conducted to ensure the validity of the questionnaire. It is shown that the total score of CTA and the six sub-dimensions are significantly positively correlated with SMU, but strongly negatively correlated with SMD. Based on the mediating effect testing, it is discovered that the degree of SMD can affect the promoting relations between the usage intensity of social media (UISM) and CTA. Clearly, SMU is a double-edged sword. While it narrows the digital gap in terms of accessibility, it widens the digital gap in terms of usage. The differences in SMU have a significant impact on the development of CTA of university students. This inspires us to consider the ability of “using social media in a balanced way” as an important evaluation and training direction when inquiring media literacy. As social media is becoming a critical channel in cultivating individual's thinking skills, it is highly suggested that the amount of time spent on reading fragmented information on the internet should be controlled.
      Citation: Library Hi Tech
      PubDate: 2022-08-10
      DOI: 10.1108/LHT-11-2021-0393
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Impact of academic stress by parent-proxy on parents'
           learning-support-services: a moderated-mediation model of health anxiety
           by parents' educational level

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      Authors: Chenhui Wang , Suqi Li , Yu-Sheng Su
      Abstract: This study focused on parents' health anxiety by proxy about their children when they started learning online during the COVID-19 pandemic, to explore the impact of academic stress by parent-proxy on parents' learning support services with the mediating role of health anxiety by parent-proxy and the moderating role of parental educational level. In total, 8,940 primary school students' parents participated in the study. Bootstrapping was performed to test the constructed model. (1) Academic stress by parent-proxy positively predicted health anxiety by parent-proxy. (2) Health anxiety by parent-proxy significantly positively predicted learning support services. (3) Academic stress by parent-proxy also significantly positively predicted learning support services. (4) Academic stress by parent-proxy positively predicted parents' learning support services through the mediating effect of health anxiety by parent-proxy. (5) Parental educational level moderated the relationship between academic stress by parent-proxy, health anxiety by parent-proxy, and learning support services. Academics and parents will benefit from the conclusions of this study in both theory and practice. During the COVID-19 pandemic, offline learning has been replaced with online learning, which has brought with it many physical and mental health problems, including additional academic stress. Most studies on learning support services have focused on offline learning. However, this study explored the relationships between academic stress by parent-proxy, health anxiety by parent-proxy, learning support services, and parental educational level in the context of online learning. Results show that it is necessary to pay attention to academic stress and health to provide children with appropriate learning support services.
      Citation: Library Hi Tech
      PubDate: 2022-08-09
      DOI: 10.1108/LHT-07-2022-0329
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Exploring the effectiveness of VR-based product demonstrations featuring
           items of furniture

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      Authors: Chengyao Xin
      Abstract: This paper aims to present a case study of virtual-reality-based product demonstrations featuring items of furniture. The results will be of use in further design and development of virtual-reality-based product demonstration systems and could also support effective student learning. A new method was introduced to guide the experiment by confirming orthogonal arrays. User interactions were then planned, and a furniture demonstration system was implemented. The experiment comprised two stages. In the evaluation stage, participants were invited to experience the virtual-reality (VR)-based furniture demonstration system and complete a user experience (UX) survey. Taguchi-style robust design methods were used to design orthogonal table experiments and planning and design operation methods were used to implement an experimental display system in order to obtain optimized combinations of control factors and levels. The second stage involved a confirmatory test for the optimized combinations. A pilot questionnaire was first applied to survey demonstration scenarios that are important to customers. The author found in terms of furniture products, product interactive display through VR can achieve good user satisfaction through quality design planning. VR can better grasp the characteristics of products than paper catalogs and website catalogs. And VR can better grasp the characteristics of products than online videos. For “interactive inspection”, “function simulation”, “style customization” and “set-out customization” were the most valuable demonstration scenarios for customers. The results of the experiment confirmed that the “overall rating”, “hedonic appeal” and “practical quality” were the three most important optimized operating methods, constituting a benchmark of user satisfaction. The author found that it is possible to design and build a VR-based furniture demonstration system with a good level of usability when a suitable quality design method is applied. The optimized user interaction indicators and implementation experience for the VR-based product demonstration presented in this study will be of use in further design and development of similar systems.
      Citation: Library Hi Tech
      PubDate: 2022-08-08
      DOI: 10.1108/LHT-01-2022-0001
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Factors affecting the adoption of integrated semantic digital libraries
           (SDLs): a systematic review

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      Authors: Khurram Shahzad , Shakeel Ahmad Khan
      Abstract: Major objective of the instant study was to investigate the factors affecting the adoption of integrated semantic digital libraries (SDLs). It attempted to find out the challenges faced in implementing semantic technologies in digital libraries. This study also aimed to develop a framework to provide practical solutions to efficiently adopt semantic digital library systems to offer richer data and services. To meet the formulated objectives of the study, a systematic literature review was conducted. The authors adhered to the “Preferred Reporting Items for the Systematic Review and Meta-analysis” (PRISMA) guidelines as a research method. The data were retrieved from different tools and databases. In total, 35 key studies were included for systematic review after having applied standard procedures. The findings of the study indicated that SDLs are highly significant as they offered context-based information resources. Interoperability of the systems, advancement in bilateral transfer modules, machine-controlled indexing, and folksonomy were key factors in developing semantic digital libraries. The study identified five different types of challenges to build an integrated semantic digital library system. These challenges included ontologies and interoperability, development of a suitable model, diversity in language, lack of skilled human resources, and other technical issues. This paper provided a framework that is based on practical solutions as a benchmark for policymakers to devise formal standards for the initiation to develop integrated semantic digital libraries.
      Citation: Library Hi Tech
      PubDate: 2022-08-05
      DOI: 10.1108/LHT-05-2022-0231
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Bibliometric analysis and science mapping of global scientific
           publications on technical vocational education training (TVET)

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      Authors: Mohamad Zuber Abd Majid , Saraswathy Kasavan , Rusinah Siron
      Abstract: While technical vocational education training (TVET) has been studied in-depth, the evolution and performance patterns of the subject remain unknown and limited. A bibliometric analysis was performed to examine the global scientific literature to assess the state of the art in TVET research over the past 23 years. The Web of Science (WoS) database was searched to explore TVET-related research from 1999 to 2021, resulting in the identification of 7,512 articles. The VOSviewer software was used to investigate the network of collaboration between authors, institutions, countries and author keywords. The results reveal that the subject categories of “education” and “educational research” are the most prolific contributors to TVET-related research, with 3,314 articles. Most of the previous studies in Phase I (1999–2006) focussed on human capital resources development in the TVET sector. Phase II (2007–2014) follows with the centralisation of TVET, focussing on technology transition in education. However, in Phase III (2015–2021), researchers appear to focus on vocational studies in higher education towards increasing the productivity of human resources via the implementation of technology transition. The valuable findings of this study can facilitate better understanding among scholars on the trends of TVET research developments and on the direction of future research.
      Citation: Library Hi Tech
      PubDate: 2022-08-05
      DOI: 10.1108/LHT-12-2021-0485
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Comparative research on structure function recognition based on deep
           learning

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      Authors: Zhongbao Liu , Wenjuan Zhao
      Abstract: The research on structure function recognition mainly concentrates on identifying a specific part of academic literature and its applicability in the multidiscipline perspective. A specific part of academic literature, such as sentences, paragraphs and chapter contents are also called a level of academic literature in this paper. There are a few comparative research works on the relationship between models, disciplines and levels in the process of structure function recognition. In view of this, comparative research on structure function recognition based on deep learning has been conducted in this paper. An experimental corpus, including the academic literature of traditional Chinese medicine, library and information science, computer science, environmental science and phytology, was constructed. Meanwhile, deep learning models such as convolutional neural networks (CNN), long and short-term memory (LSTM) and bidirectional encoder representation from transformers (BERT) were used. The comparative experiments of structure function recognition were conducted with the help of the deep learning models from the multilevel perspective. The experimental results showed that (1) the BERT model performed best, with F1 values of 78.02, 89.41 and 94.88%, respectively at the level of sentence, paragraph and chapter content. (2) The deep learning models performed better on the academic literature of traditional Chinese medicine than on other disciplines in most cases, e.g. F1 values of CNN, LSTM and BERT, respectively arrived at 71.14, 69.96 and 78.02% at the level of sentence. (3) The deep learning models performed better at the level of chapter content than other levels, the maximum F1 values of CNN, LSTM and BERT at 91.92, 74.90 and 94.88%, respectively. Furthermore, the confusion matrix of recognition results on the academic literature was introduced to find out the reason for misrecognition. This paper may inspire other research on structure function recognition, and provide a valuable reference for the analysis of influencing factors.
      Citation: Library Hi Tech
      PubDate: 2022-08-02
      DOI: 10.1108/LHT-01-2022-0025
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A theoretical model and empirical analysis of university library readers'
           spatial cognition

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      Authors: Yiping Jiang , Yanhua Chen , Xiaobo Chi
      Abstract: The practice of renovation and construction of university libraries is flourishing, but how to attract readers to use the library is an issue that urgently needs to be explored. Spatial cognition is a subjective judgment of a person's tendency to take action in the future and implies behavioral intention. Based on the sensory–image–cognition relationship, a theoretical model of university library readers' spatial cognition is conducted, and the influencing factors and mechanisms of spatial cognition are explored based on empirical data to provide theoretical references for spatial practices in university libraries. A visual and art-based mental map approach is introduced based on a questionnaire survey. The questionnaire is mainly used for the specific evaluation of spatial use and the breakdown of the detailed elements, while the mental map method is mainly used for the evaluation of readers' spatial cognition. Relevant empirical data are collected from the library of the Zhejiang University of Technology. The results indicate that readers' spatial sensory experience and mental imagery have positive effects on readers' behavior via the mediator spatial cognition, readers' spatial sensory experience and mental imagery have a positive effect on readers' spatial cognition and spatial cognition has a significant effect on readers' behavior. The main contribution of this study is to construct a theoretical model of readers' spatial cognition and to explore the factors that have an impact on spatial cognition and the influence of cognition on behavior. This provides a more rational and in-depth thinking paradigm for the study of university library space and provides theoretical references for library practice.
      Citation: Library Hi Tech
      PubDate: 2022-08-02
      DOI: 10.1108/LHT-05-2022-0242
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Systematic review of MOOC research in mainland China

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      Authors: Jiawen Cheng , Allan H.K. Yuen , Dickson K.W. Chiu
      Abstract: The popularity of massive open online courses (MOOCs) has attracted worldwide research interest. This study aims to identify and summarize the research foci (e.g. themes, methods, contexts, etc.) and discuss the new directions and trends of MOOC research in the context of Mainland China. A systematic review of the published MOOC research papers in Mainland China was conducted with the following inclusion criteria: (1) papers written in English; (2) context focused on Mainland China; and (3) empirical studies. Three main issues were explored with the selected 70 papers: (1) research methods (data collection and analysis); (2) the research foci; and (3) research objects. The results found that the major MOOC research in China was quantitative, mostly using one method to collect data. Most studies collected data through the databases of MOOC platforms and survey techniques, which was consistent with the widely used descriptive statistics for data analysis. Learner-focused themes were investigated the most, aligning with the result that learners were the most popular research objects. The findings suggest that using new technology tools, such as the Big Data approach for learning analytics, may transform traditional MOOC research into new practices. Transdisciplinary research concepts may also provide an alternative evolving model for constructing collaboratively dynamic research frameworks under the changing technologies and paradigms. Meanwhile, educational research traditions, such as qualitative methods, contribute to scaffolding MOOC research for more pragmatic applications. Most systematic reviews on MOOCs focus on general or regional contexts other than Mainland China, and scant MOOC review is based on published English papers about Mainland China.
      Citation: Library Hi Tech
      PubDate: 2022-07-19
      DOI: 10.1108/LHT-02-2022-0099
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Unveiling research productivity of premier IIMs of India (2010–2021)

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      Authors: Sunil Tyagi
      Abstract: This study aims to investigate the research productivity in terms of publications count of the top four premiers Indian Institute of Management (IIM) institutions and to explore the current research trends. Bibliometric techniques were employed to assess the performance in terms of research productivity of authors affiliated with IIMs. The Elsevier Scopus database was selected as a tool to extract the prospective publications data limiting the time frame for 2010–2021. The IIM-Ahmedabad, IIM-Bangalore, IIM-Calcutta and IIM-Lucknow have been selected for the study. The harvested data were analyzed by using the standard bibliometric indicators and scientometric parameters to measure the research landscape such as average growth rate, compound average growth rate, relative growth rate, doubling time, degree of collaboration, collaborative index, collaborative coefficient and modified collaborative coefficient. VOSviewer 1.6.17, BibExcel and Microsoft Excel were used for data analysis and visualization. The research productivity of selected four IIMs has shown an upward trend during the study period from 2010–2021 and accrued 4,397 publications with an average of 366 publications per year. The authorship patterns demonstrate the collaborative trends as most of the publications were produced by the multiple-authors (81.03%). IIM-Ahmedabad has produced the maximum number of publications (32.20%). The research productivity of IIMs has come out in collaboration with the 125 nations across the world and the USA, the UK, Canada, Germany and China are the front runners with IIMs in the collaborative network. The high magnitude and density of collaboration are evident from the calculated mean values of the degree of collaboration (0.82). The mean values of the collaborative index (2.64), collaborative coefficient (0.51) and modified collaborative coefficient (0.51) demonstrated a positive trend, but indicate the fluctuation in the collaborative pattern as time proceeds. The study is limited to the publications data indexed in the Scopus database, therefore the outcome may not be generalized across other databases available in the public domain like Web of Science (WoS), PubMed, Dimensions and Google Scholars. The findings of the study may aid academics and library professionals in identifying research trends, collaboration networks and evaluating other academic and research institutions by using the current advancement in data analysis. The present study is the first effort to evaluate the research productivity of IIMs. The expanding literature will make an important contribution to identifying patterns and evaluating current research trends on a worldwide scale.
      Citation: Library Hi Tech
      PubDate: 2022-07-19
      DOI: 10.1108/LHT-05-2022-0262
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Relationship between parents' health literacy and child health: systematic
           review

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      Authors: Syeda Hina Batool , Muhammad Safdar , Saima Eman
      Abstract: Parents' health literacy is an important element to ensure the sound health of children. One of the major purposes of this study was to systematically collect and review the literature that identified the relationship between two variables: parents' health literacy and their child's health. To meet the purpose, the authors searched four well-reputed research databases such as Web of Science, Scopus, Google Scholar and LISTA (Library, Information Science and Technology Abstracts) comprehensively to collect the relevant research on the topic. Except for books, various types of content from different years were used for this review. The investigators used Preferred Items for Systematic Reviews and Meta-analysis guidelines to select eligible studies for this review. The authors also assessed the quality of the reviewed research in the light of well-reputed quality guidelines shared by Boynton and Greenhalgh (2004). The majority of the reviewed studies found a statistically significant relationship between parents' health literacy and the health of their children. Findings also identified that the majority of the reviewed literature scored from 9 to 12 on the quality assessment criteria. Results also highlighted that the majority of the reviewed research on parents' health literacy and child health has been conducted in the USA and utilized quantitative methods to conduct research on the topic under this study. This systematic review has multiple theoretical and practical implications for parents, policymakers and researchers. This is the first systematically collected and reviewed paper on the relationship between parents' health literacy and child health.
      Citation: Library Hi Tech
      PubDate: 2022-07-19
      DOI: 10.1108/LHT-11-2021-0398
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Understanding citizens’ satisfaction with the government response during
           the COVID-19 pandemic in China: comprehensive analysis of the government
           hotline

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      Authors: Zicheng Zhang , Anguo Li , Yang Xu , Yixiao Liang , Xinchen Jin , Shanshan Wu
      Abstract: The objective of this study was to analyse the influencing factors of citizens' dissatisfaction with government services during the COVID-19 pandemic to help government departments identify problems in the service process and possible countermeasures. The authors first used cosine interesting pattern mining (CIPM) to analyse citizens' complaints in different periods of the pandemic. Second, the potential evaluation indices of customer satisfaction were extracted from the hotline business system through a hypothesis analysis and modelled using multiple regression analysis. During the index transformation and standardization process, a machine-learning algorithm of clustering and emotion analysis was adopted. Finally, the authors used the random forest algorithm to evaluate the importance of the indicators and obtain the indicators more important to citizen satisfaction. The authors found that the complaint topic, appeal time, urgency of citizens' complaints, citizens' emotions, level of detail in the case record, and processing timeliness and efficiency significantly influenced citizens' satisfaction. When the government addresses complaints in a more standardized and efficient manner, citizens are more satisfied. During the pandemic, government departments should be more patient with citizens, increase the speed of the case circulation and shorten the processing period of appeals. Staff should record appeals in a more standardized manner, highlighting themes and prioritizing urgent cases to appease citizens and relieve their anxiety.
      Citation: Library Hi Tech
      PubDate: 2022-07-18
      DOI: 10.1108/LHT-12-2021-0497
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Knowledge mapping of research data in China: a bibliometric study using
           visual analysis

         This is an Open Access Article Open Access Article

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      Authors: Chunlai Yan , Hongxia Li , Ruihui Pu , Jirawan Deeprasert , Nuttapong Jotikasthira
      Abstract: This study aims to provide a systematic and complete knowledge map for use by researchers working in the field of research data. Additionally, the aim is to help them quickly understand the authors' collaboration characteristics, institutional collaboration characteristics, trending research topics, evolutionary trends and research frontiers of scholars from the perspective of library informatics. The authors adopt the bibliometric method, and with the help of bibliometric analysis software CiteSpace and VOSviewer, quantitatively analyze the retrieved literature data. The analysis results are presented in the form of tables and visualization maps in this paper. The research results from this study show that collaboration between scholars and institutions is weak. It also identified the current hotspots in the field of research data, these being: data literacy education, research data sharing, data integration management and joint library cataloguing and data research support services, among others. The important dimensions to consider for future research are the library's participation in a trans-organizational and trans-stage integration of research data, functional improvement of a research data sharing platform, practice of data literacy education methods and models, and improvement of research data service quality. Previous literature reviews on research data are qualitative studies, while few are quantitative studies. Therefore, this paper uses quantitative research methods, such as bibliometrics, data mining and knowledge map, to reveal the research progress and trend systematically and intuitively on the research data topic based on published literature, and to provide a reference for the further study of this topic in the future.
      Citation: Library Hi Tech
      PubDate: 2022-07-14
      DOI: 10.1108/LHT-11-2020-0285
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • An approach based on process mining to assess the quarantine strategies'
           effect in reducing the COVID-19 spread

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      Authors: Mansoureh Yari Eili , Jalal Rezaeenour
      Abstract: The feasibility of process mining combined with simulation techniques in estimating the effectiveness of COVID-19 prevention strategies on infection and mortality trends to determine best practices is assessed in this study. The quarantine event log is built from the CUSP (the COVID-19 US State Policy) database, where the dates of implemented social policies in the USA to respond to the COVID-19 pandemic are documented. COVID-19 is a highly infectious disease leading to a very high death toll worldwide. In most countries, the governments have resorted to a series of drastic strategies to prevent the outbreak by restricting the activities and movement among their population for a predefined time. Heretofore, different approaches have been published to estimate quarantine strategies and the majority signify the positive effect on managing this pandemic. Notably, the process perspective of COVID-19 datasets is of less concern among researchers. The purpose of this paper is to exploit the process mining techniques to model and analyze the quarantine implementation processes. The discovered process model has 51 process variants for 51 cases (states), which indicate the quarantine activities were executed in different orders and periods during the pandemic. The time interval analysis between activities reveals the states with the most extended quarantine periods. These primary process mining insights are applied to define scenarios and variables of an agent-based model. The simulation findings indicate a meaningful relation between enforcing quarantine strategies and a declining trend of infection by 90% in the case of following strict quarantine and mask mandates. It is observed that in the post-quarantine period, the disease repeats its ascending trend unless implementation of different intervention strategies likes vaccination. This study is the first in introducing process mining techniques in analyzing the COVID-19 quarantine strategies impact. The findings provide valuable insights for policymakers to proper control strategies and the process mining research community in expanding more process-related analysis on this pandemic. Also, the results have broad implications for research in other fields like information science to estimate the impact of quarantine strategies on process patterns in library systems.
      Citation: Library Hi Tech
      PubDate: 2022-07-12
      DOI: 10.1108/LHT-01-2022-0062
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Four decades of image processing: a bibliometric analysis

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      Authors: Uzair Khan , Hikmat Ullah Khan , Saqib Iqbal , Hamza Munir
      Abstract: Image Processing is an emerging field that is used to extract information from images. In recent years, this field has received immense attention from researchers, especially in the research domains of object detection, Biomedical Imaging and Semantic segmentation. In this study, a bibliometric analysis of publications related to image processing in the Science Expanded Index Extended (SCI-Expanded) has been performed. Several parameters have been analyzed such as annual scientific production, citations per article, most cited documents, top 20 articles, most relevant authors, authors evaluation using y-index, top and most relevant sources (journals) and hot topics. The Bibliographic data has been extracted from the Web of Science which is well known and the world's top database of bibliographic citations of multidisciplinary areas that covers the various journals of computer science, engineering, medical and social sciences. The research work in image processing is meager in the past decade, however, from 2014 to 2019, it increases dramatically. Recently, the IEEE Access journal is the most relevant source with an average of 115 publications per year. The USA is most productive and its publications are highly cited while China comes in second place. Image Segmentation, Feature Extraction and Medical Image Processing are hot topics in recent years. The National Natural Science Foundation of China provides 8% of all funds for Image Processing. As Image Processing is now becoming one of the most critical fields, the research productivity has enhanced during the past five years and more work is done while the era of 2005–2013 was the area with the least amount of work in this area. This research is novel in this regard that no previous research focuses on Bibliometric Analysis in the Image Processing domain, which is one of the hot research areas in computer science and engineering.
      Citation: Library Hi Tech
      PubDate: 2022-07-08
      DOI: 10.1108/LHT-10-2021-0351
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Exploring the implementation of artificial intelligence applications among
           academic libraries in Taiwan

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      Authors: Yuan-Ho Huang
      Abstract: This study explored the different artificial intelligence (AI) applications used in academic libraries and the key factors and impediments related to their implementation. The author applied quantitative research methods in the form of a questionnaire, using both open and closed questions. A total of 472 valid questionnaires were received from academic librarians. The author sought responses from librarians who had implemented AI applications and those who had not, identifying the types of AI applications implemented, key factors relating to their implementation, and impediments to promoting AI. Gaps were identified between the level of support for AI applications and the negative effect of the impediments. Furthermore, the more extensive the individual and organizational knowledge activities performed by the librarians and libraries held, the more positive the attitude was librarians' attitude toward AI applications in their libraries. However, librarians recognized that AI applications are inevitable, but indicated that the difficulties of in execution have hampered the adoption of AI. The sample data were collected in Taiwan; therefore, the data may only represent the views of Taiwanese academic librarians on AI applications. The results of this study may not apply to librarians worldwide; however, they may provide a useful reference. The results revealed the top four AI applications that libraries would most likely implement in the near future. Therefore, AI application developers and suppliers can prioritize the promotion of these products for to academic libraries. This study revealed that funding and costs related to AI implementation were discovered to be key factors relating to implementing AI applications. Some impediments to the implementation of AI applications relate to technological problems. Several librarians suggested that managers should invest more resources at an early stage rather than reducing cutting back on human resources initially. Although worries regarding privacy and ethics were mentioned expressed by some respondents, most academic librarians did not regard these to be major concerns. This study provides the perspectives of librarians who have implemented AI applications and of those who have not. In addition, it explores the advantages and disadvantages of AI applications, and the level of support for and impact of AI applications and promotions. This study also included a gap analysis. Moreover, individual and organizational knowledge activity scales were adopted to examine AI awareness and the perceptions of academic librarians.
      Citation: Library Hi Tech
      PubDate: 2022-07-05
      DOI: 10.1108/LHT-03-2022-0159
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Online course quality evaluation from the perspective of knowledge
           management: analysis of online reviews

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      Authors: Shanshan Shang , Chenhui Du
      Abstract: With the increasing popularity of online courses, their quality has become a public concern. Based on the perspective of knowledge management, this study aims to identify comprehensive and granular quality factors of online courses and analyze the relationships between the factors. Following the principles of the grounded theory, interpretive structural modeling and cross-impact matrix multiplication applied to classification (MICMAC) analysis methods, this research uses reviews and comments garnered from Zhihu, which is the most popular online question-and-answer community in China, to conduct the analysis. Based on the text data, 50 factors that potentially affect the quality of online courses are obtained. The analysis identifies the hierarchical relationships and dependent correlations between the factors. The research uses the knowledge transformation model to classify content elements according to their degree of descriptiveness and provides practical and effective suggestions for improving the quality of online courses.
      Citation: Library Hi Tech
      PubDate: 2022-07-05
      DOI: 10.1108/LHT-08-2021-0290
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Evaluating Facebook as aids for learning Japanese: learners' perspectives

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      Authors: Tin Nok Leung , Yin Ming Hui , Canon K.L. Luk , Dickson K.W. Chiu , Kevin K.W. Ho
      Abstract: This study analyses the advantages and weaknesses of using Facebook to aid the learning of Japanese as a foreign language. A questionnaire survey was conducted to collect data from 100 Hong Kong Japanese language learners (who are generally fluent in Chinese and English), ranging from total amateur to advanced learners (Japanese Language Proficiency Test (JLPT) qualified at different levels). The authors' results suggest that the advantages of using Facebook to help learn Japanese include: (1) serving as a free-of-charge, casual, and convenient learning platform; (2) enriching learners' knowledge beyond the language learning and (3) encouraging interactive and collaborative learning with other users for practicing the language. However, the low credibility and unstructured educational materials posted on Facebook and being easily distracted by other Facebook feeds are the major weaknesses of learning a language through Facebook. Furthermore, the authors' result shows that Facebook is especially effective for Japanese learning when learners fall into either one of the following groups: young, female, or intermediate (N2/3) learners. Scant studies focus on the aid of learning Japanese via Facebook, especially Hong Kong learners' perceptions, or generally in the East. Therefore, this study aims to fill this research gap. The authors' findings will facilitate the students, teachers, and language institutions from Hong Kong and other countries to improve the students' effectiveness in learning and teaching Japanese.
      Citation: Library Hi Tech
      PubDate: 2022-06-23
      DOI: 10.1108/LHT-11-2021-0400
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Exploring the factors of students' intention to participate in AI software
           development

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      Authors: Shih-Yeh Chen , Yu-Sheng Su , Ya-Yuan Ku , Chin-Feng Lai , Kuo-Lun Hsiao
      Abstract: Although many universities have begun to provide artificial intelligence (AI)-related courses for students, the influence of the course on students' intention to participate in the development of AI-related products/services needs to be verified. In order to explore the factors that influence students' participation in AI services and system development, this study uses self-efficacy, AI literacy, and the theory of planned behaviour (TPB) to investigate students' intention to engage in AI software development. The questionnaire was distributed online to collect university students' responses in central Taiwan. The research model and eleven hypotheses are tested using 151 responses. The testing process adopted SmartPLS 3.3 and SPSS 26 software. AI programming self-efficacy, AI literacy, and course satisfaction directly affected the intention to participate in AI software development. Moreover, course playfulness significantly affected course satisfaction and AI literacy. However, course usefulness positively affected course satisfaction but did not significantly affect AI literacy and AI programming self-efficacy. The model improves our comprehension of the influence of AI literacy and AI programming self-efficacy on the intention. Moreover, the effects of AI course usefulness and playfulness on literacy and self-efficacy were verified. The findings and insights can help design the AI-related course and encourage university students to participate in AI software development. The study concludes with suggestions for course design for AI course instructors or related educators.
      Citation: Library Hi Tech
      PubDate: 2022-06-21
      DOI: 10.1108/LHT-12-2021-0480
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Establishing novel experimental operation teaching by a click-and-mortar
           environment

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      Authors: Hsin-Te Wu , Kuo Cheng Chung
      Abstract: This study aims to focus on the Artificial Intelligence of Things (AIoT) course. As AIoT has many theoretical theories and students usually have little interest in learning the protocols, the experiments can help stimulate their curiosity. Due to the environmental factor, the teaching requires assistive videos and Problem-Based Learning (PBL) to understand students' learning conditions. The experimental design generally follows the course theories going from easy to complex, and students can extend the acquired concepts to other project development, yet, without in-depth knowledge about the experiment, resulting in limited creativity. The assessment analysis can reveal whether students have grown from the teaching. The final analysis at the end of the term can show learners' conditions; meanwhile, students can deliver their level of satisfaction. The click-and-mortar teaching environment provided in this research can improve learning setting and quality, solidifying learners' proficiency. The research result has proved the feasibility of the proposed method. Apart from showing the experimental steps, the video also explains the corresponding theories, helping students reinforce experimental knowledge and boost learning willingness.
      Citation: Library Hi Tech
      PubDate: 2022-06-21
      DOI: 10.1108/LHT-12-2021-0494
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The short video usage motivation and behavior of middle-aged and old
           users

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      Authors: Xiaofeng Yu , Yiqing Zhang , Xiaoxue Zhang
      Abstract: The main research problem is the relationship between the use motivation (UM) and use behavior (UB) of middle-aged and old short videos users and the difference of the influence of the use motivation of middle-aged and old users, a special group, on the usage behavior is analyzed. By means of a questionnaire survey and in-depth interview, the middle-aged and old-aged users' short video use motivation and behavior and their influence relationship are discussed. It is found that information appeal is the main motivation of middle-aged and old-aged users to use short videos and users with different social attributes have differences in motivation and there is a significant relationship between motivation and behavior. The research objective is middle-aged and elderly short video users. And how to promote the transformation of middle-aged and old-aged users' use mentality and record and create their unique bright spots in the big stage of short videos with a more active and independent attitude, is of unique significance not only to the users themselves but also to the media content of this era and the users' existence in the technological change.
      Citation: Library Hi Tech
      PubDate: 2022-06-17
      DOI: 10.1108/LHT-09-2021-0318
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Aligning research trends of NIPERs, India (2010–2021)

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      Authors: Sunil Tyagi
      Abstract: This study aims to measure the global research landscape of the National Institute of Pharmaceutical Education and Research (NIPER) of India on a set of quantitative and qualitative metrics in terms of research output toward exploring research trends and give an overview of collaborative practices by researchers of NIPERs. The present study has selected the Scopus database as a tool to retrieve potential publications of studied NIPERs during the last 12 years (2010–2021). NIPER-Mohali, NIPER-Hyderabad, NIPER-Ahmedabad, NIPER-Guwahati and NIPER-Kolkata have been selected for the study. The study has adopted a comprehensive search strategy to extract 3,926 publications data. VOS viewer 1.6.17, BibExcel and Microsoft Excel were used for data analysis and visualization. The global scientific research output of NIPERs accrued 3,926 publications with an average of 327 publications per year. The retrieved publications fetched a total of 67,772 citations with an average citation impact of 17.26. There observed a steady growth of publications from 168 to 509 registered with an average growth rate of 18.44%. The mean relative growth rate and doubling time of research output are 0.26 and 2.94. The authorship patterns explore collaborative trends as most of the publications were published by multiple authors (99.39%). NIPERs have expanded their outreach to collaborate with the USA, Malaysia, Saudi Arabia, Australia and the UK to collaborate on research and regulatory reforms exhibits in the USA as a major contributor. The present study is the first effort to evaluate the global research productivity of NIPERs and assess the current research trends on a set of quantitative and qualitative metrics to provide some insights into the complex dynamics of research productivity. The study’s outcome may help to identify the current research progress of NIPERs at the global level.
      Citation: Library Hi Tech
      PubDate: 2022-06-14
      DOI: 10.1108/LHT-04-2022-0173
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Factors influencing students' adoption intention of brain–computer
           interfaces in a game-learning context

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      Authors: Yu-Min Wang , Chung-Lun Wei , Meng-Wei Wang
      Abstract: A research framework that explains adoption intention in students with regard to brain–computer interface (BCI) games in the learning context was proposed and empirically examined. In this study, an approach integrating the decomposed theory of planned behavior, perceived playfulness, risk and the task–technology fit (TTF) concept was used to assess data collected using a post-experiment questionnaire from a student sample in Taiwan. The research model was tested using the partial least-squares structural equation modeling (PLS-SEM) technique. Attitude, subjective norms and TTF were shown to impact intention to play the BCI game significantly, while perceived behavioral control did not show a significant impact. The influence of superiors and peers was found to positively predict subjective norms. With the exception of perceived ease of use, all of the proposed antecedents were found to impact attitude toward BCI games. Technology facilitating conditions and BCI technology characteristics were shown to positively determine perceived behavior control and TTF, respectively. However, the other proposed factors did not significantly influence the latter two dependents. This research contributes to the nascent literature on BCI games in the context of learning by highlighting the influence of belief-related psychological factors on user acceptance of BCI games. Moreover, this study highlights the important, respective influences of perceived playfulness, risk and TTF on users' perceptions of a game, body monitoring and technology implementation, each of which is known to influence willingness to play.
      Citation: Library Hi Tech
      PubDate: 2022-06-10
      DOI: 10.1108/LHT-12-2021-0506
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Does visual attention help' Towards better understanding and
           predicting users’ good abandonment behavior in mobile search

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      Authors: Dan Wu , Shutian Zhang
      Abstract: Good abandonment behavior refers to users obtaining direct answers via search engine results pages (SERPs) without clicking any search result, which occurs commonly in mobile search. This study aims to better understand users' good abandonment behavior and perception, and then construct a good abandonment prediction model for mobile search with improved performance. In this study, an in situ user mobile search experiment (N = 43) and a crowdsourcing survey (N = 1,379) were conducted. Good abandonment behavior was analyzed from a quantitative perspective, exploring users' search behavior characteristics from four aspects: session and query, SERPs, gestures and eye-tracking data. Users show less engagement with SERPs in good abandonment, spending less time and using fewer gestures, and they pay more visual attention to answer-like results. It was also found that good abandonment behavior is often related to users' perceived difficulty of the searching tasks and trustworthiness in the search engine. A good abandonment prediction model in mobile search was constructed with a high accuracy (97.14%). This study is the first to explore eye-tracking characteristics of users' good abandonment behavior in mobile search, and to explore users' perception of their good abandonment behavior. Visual attention features are introduced into good abandonment prediction in mobile search for the first time and proved to be important predictors in the proposed model.
      Citation: Library Hi Tech
      PubDate: 2022-06-03
      DOI: 10.1108/LHT-01-2022-0076
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Exploring the factors influencing users' learning and sharing behavior on
           social media platforms

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      Authors: Jianmei Wang , Jinwen Xie
      Abstract: The research goal is to understand what factors affect users' knowledge and information learning and sharing on social media platforms. This study focuses on the impact of platform characteristics on users' behavior. Specifically, the purpose of this study is to investigate (1) what factors affect users' learning and dissemination of knowledge and information on social media platforms, (2) whether knowledge and information learning behavior will have a positive effect on sharing behavior and (3) try to establish an impact model of users' learning and sharing behavior about knowledge and information. This study proposes an impact mechanism model to test these hypotheses. To achieve this, the authors collected data from 430 users who have used the social media platforms to acquire and share knowledge and information to test the hypothesis. The tools SPSS 26.0 and AMOS 23.0 were used to analyze the reliability, validity, model fits and structural equation modeling. The results show that the learning of knowledge and information can influence the sharing behavior on social media platforms. Users' platform-based trust and platform-based satisfaction affect their knowledge and information learning and sharing on the platform. Factors affecting users' trust in social platforms include privacy protection effectiveness and network effects. And, perceived usefulness and perceived ease of use are related to users' satisfaction with social media platforms. This study constructs an impact model on the learning and sharing of knowledge and information. The model takes the information system continuance model as the theoretical framework and integrates other factors, including the network effect, the effectiveness of privacy protection and trust. Most of the hypotheses of this research were confirmed. The conclusions provide practical guidance for the dissemination of knowledge information and platform management.
      Citation: Library Hi Tech
      PubDate: 2022-05-31
      DOI: 10.1108/LHT-01-2022-0033
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Cluster analysis and network visualization of research in mucormycosis: a
           scientometric mapping of the global publications from 2011 to 2020

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      Authors: Dhruba Jyoti Borgohain , Mohammad Nazim , Manoj Kumar Verma
      Abstract: Mucormycosis has evolved as a post-COVID-19 complication globally, especially in India. The research on fungus has been very primitive, and many scientific publications have been discovered. The current COVID-19 pandemic needs further investigation into this unusual fungal infection. This review study aims to provide a pen-picture to researchers, science policymakers and scientists about different bibliometric indicators related to the research literature on mucormycosis. The quantitative research was conducted using the established procedure of bibliometric investigation on data collected from Scopus from 2011 to 2020 using a validated search query. The search query consisted of keywords “Mucormycosis” or “Mucormycoses” or “Mucormycose” or “Mucorales Infection” or “Mucorales Infections” or “Black Fungus Infection” or “Black Fungus Infections” or “Zygomycosis” in the “Title-Keyword-Abstract” search option for data extraction. The analysis of data is performed using MS-Excel. Mapping was done with state-of-the-art visualization tools Biblioshiny and VOSviewer, using bibliometric indicators as units of analysis. The analysis reveals that the first publication on this topic was reported from 1923 onwards. In total, 9,423 authors contributed 1,896 papers with 11,437 collaborated authors, documents per author are 0.201, authors per document are 4.97 and co-authors per document are 6.03. Total records were published in 779 journals in the English language from 75 countries globally. Mucormycosis literature is mostly open access, with 1,210 publications available via different open access routes. The highest number of articles (204) published in the journal “Mycoses” with 1,333 authors received 4,875 cited references, and the h-index has 24. The growth of publications is exponential, as depicted by the Price Law. The USA has recorded a maximum number of publications at both country and institutional levels compared to the other nations. There has been extensive research on mucormycosis before the outbreak as a post-COVID complication, as indicated by the highest number of publications in 2019. The research hot spots have altered from “Mucormycosis,” “fungi,” “Zygomycosis” and “Drug efficacy”, “Drug Safety” to “Microbiology,” “Pathology,” “nucleotide sequence,” “surgical debridement” which indicates that potential area of research in the near future will be concerned with more extensive research in mucormycosis to develop standard treatment procedures to fight this infection. The quantity of scientific publications has also increased over time. The research and health community are called upon to join forces to activate existing knowledge, generate new insights and develop decision-supporting tools for health authorities in different nations to leverage vaccination in its transformational role toward successfully attaining nil cases of COVID-19. The analysis of collaboration, findings, the research networks and visualization makes this study novel and separates from traditional metrics analysis. To the best of the authors’ knowledge, this work is original, and no similar studies have been found with the objectives included here.
      Citation: Library Hi Tech
      PubDate: 2022-05-31
      DOI: 10.1108/LHT-04-2022-0171
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Which quality determinants cause MOOCs continuance intention' A hybrid
           extending the expectation-confirmation model with learning engagement and
           information systems success

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      Authors: Yung-Ming Cheng
      Abstract: The purpose of this study is to propose the research model integrating the expectation-confirmation model with the views of learning engagement (LE) and extending DeLone and McLean information systems (IS) success model to examine whether quality determinants as antecedents to students' beliefs can influence students' continuance intention of massive open online courses (MOOCs). Sample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed, and 363 (60.5%) useable questionnaires were analyzed using structural equation modeling in this study. This study proved that students' perceived knowledge quality, system quality, interface design quality, learner–instructor interaction quality, and collaboration quality all positively caused students' perceived usefulness, confirmation and LE in MOOCs, which jointly explained students' satisfaction with MOOCs and subsequently resulted in students' continuance intention of MOOCs. This study fully evaluates IS-related and interaction-related quality determinants via an understanding of students' state of LE in explaining students' continuance intention of MOOCs that is difficult to expound with only their utilitarian perception of MOOCs. Hence, this study contributes to deep insights into an all-round quality evaluation in the field of MOOCs continuance intention and takes extrinsic and intrinsic motivators into account in the theoretical development of MOOCs continuance intention to acquire a more comprehensive and robust analysis.
      Citation: Library Hi Tech
      PubDate: 2022-05-31
      DOI: 10.1108/LHT-11-2021-0391
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Analyzing the impact of technology incentives on community digital
           inclusion using structural equation modeling

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      Authors: A.Y.M. Atiquil Islam , Muhammad Rafi , Khurshid Ahmad
      Abstract: This study aims to assess whether technological incentives inspire communities in the process of digital inclusion. The factors analyzed by the authors assess five dimensions: technology incentives, technology utilization, searching skills, social integration, and capabilities. Data were collected from 329 respondents in 14 public libraries and analyzed using structural equation modeling to validate the proposed research model and its relationships with the factors the authors analyzed. The results showed that technological incentives significantly impact on technology utilization, searching skills, social integration, and capabilities to support community digital inclusion in Pakistan. Technological incentives to the community will lead to the improvement of network technology for things like online taxation, banking transactions, social integration, participation in government, and modern health and education benefits. In addition, technological incentives will also enhance information literacy and digital access, helping people improve cognitive skills and critical thinking and also helping to develop skills. This research is based on raw data first collected from various people with different opinions from the Khyber Pakhtunkhwa public libraries. This study was conducted to gain a deeper understanding of the overall situation related to the use of technology in Pakistan and the complications involved.
      Citation: Library Hi Tech
      PubDate: 2022-05-17
      DOI: 10.1108/LHT-07-2021-0226
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Text Complexity Analysis of Chinese and foreign academic English writing
           via mobile devices based on neural network and deep learning

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      Authors: Qiucheng Liu
      Abstract: In order to analyze the text complexity of Chinese and foreign academic English writings, the artificial neural network (ANN) under deep learning (DL) is applied to the study of text complexity. Firstly, the research status and existing problems of text complexity are introduced based on DL. Secondly, based on Back Propagation Neural Network (BPNN) algorithm, analyzation is made on the text complexity of Chinese and foreign academic English writings. And the research establishes a BPNN syntactic complexity evaluation system. Thirdly, MATLAB2013b is used for simulation analysis of the model. The proposed model algorithm BPANN is compared with other classical algorithms, and the weight value of each index and the model training effect are further analyzed by statistical methods. Finally, L2 Syntactic Complexity Analyzer (L2SCA) is used to calculate the syntactic complexity of the two libraries, and Mann–Whitney U test is used to compare the syntactic complexity of Chinese English learners and native English speakers. The experimental results show that compared with the shallow neural network, the deep neural network algorithm has more hidden layers and richer features, and better performance of feature extraction. BPNN algorithm shows excellent performance in the training process, and the actual output value is very close to the expected value. Meantime, the error of sample test is analyzed, and it is found that the evaluation error of BPNN algorithm is less than 1.8%, of high accuracy. However, there are significant differences in grammatical complexity among students with different English writing proficiency. Some measurement methods cannot effectively reflect the types and characteristics of written language, or may have a negative relationship with writing quality. In addition, the research also finds that the measurement of syntactic complexity is more sensitive to the language ability of writing. Therefore, BPNN algorithm can effectively analyze the text complexity of academic English writing. The results of the research provide reference for improving the evaluation system of text complexity of academic paper writing. In order to analyze the text complexity of Chinese and foreign academic English writings, the artificial neural network (ANN) under deep learning (DL) is applied to the study of text complexity. Firstly, the research status and existing problems of text complexity are introduced based on DL. Secondly, based on Back Propagation Neural Network (BPNN) algorithm, analyzation is made on the text complexity of Chinese and foreign academic English writings. And the research establishes a BPNN syntactic complexity evaluation system. Thirdly, MATLAB2013b is used for simulation analysis of the model. The proposed model algorithm BPANN is compared with other classical algorithms, and the weight value of each index and the model training effect are further analyzed by statistical methods. Finally, L2 Syntactic Complexity Analyzer (L2SCA) is used to calculate the syntactic complexity of the two libraries, and Mann–Whitney U test is used to compare the syntactic complexity of Chinese English learners and native English speakers. The experimental results show that compared with the shallow neural network, the deep neural network algorithm has more hidden layers and richer features, and better performance of feature extraction. BPNN algorithm shows excellent performance in the training process, and the actual output value is very close to the expected value. Meantime, the error of sample test is analyzed, and it is found that the evaluation error of BPNN algorithm is less than 1.8%, of high accuracy. However, there are significant differences in grammatical complexity among students with different English writing proficiency. Some measurement methods cannot effectively reflect the types and characteristics of written language, or may have a negative relationship with writing quality. In addition, the research also finds that the measurement of syntactic complexity is more sensitive to the language ability of writing. Therefore, BPNN algorithm can effectively analyze the text complexity of academic English writing. The results of the research provide reference for improving the evaluation system of text complexity of academic paper writing. In order to analyze the text complexity of Chinese and foreign academic English writings, the artificial neural network (ANN) under deep learning (DL) is applied to the study of text complexity. Firstly, the research status and existing problems of text complexity are introduced based on DL. Secondly, based on Back Propagation Neural Network (BPNN) algorithm, analyzation is made on the text complexity of Chinese and foreign academic English writings. And the research establishes a BPNN syntactic complexity evaluation system. Thirdly, MATLAB2013b is used for simulation analysis of the model. The proposed model algorithm BPANN is compared with other classical algorithms, and the weight value of each index and the model training effect are further analyzed by statistical methods. Finally, L2 Syntactic Complexity Analyzer (L2SCA) is used to calculate the syntactic complexity of the two libraries, and Mann–Whitney U test is used to compare the syntactic complexity of Chinese English learners and native English speakers. The experimental results show that compared with the shallow neural network, the deep neural network algorithm has more hidden layers and richer features, and better performance of feature extraction. BPNN algorithm shows excellent performance in the training process, and the actual output value is very close to the expected value. Meantime, the error of sample test is analyzed, and it is found that the evaluation error of BPNN algorithm is less than 1.8%, of high accuracy. However, there are significant differences in grammatical complexity among students with different English writing proficiency. Some measurement met...
      Citation: Library Hi Tech
      PubDate: 2022-05-17
      DOI: 10.1108/LHT-11-2021-0383
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • What influences news learning and sharing on mobile platforms' An
           analysis of multi-level informational factors.

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      Authors: Jianmei Wang , Masoumeh Zareapoor , Yeh-Cheng Chen , Pourya Shamsolmoali , Jinwen Xie
      Abstract: The purpose of the study is threefold: first, to identify what factors influence mobile users' willingness of news learning and sharing, second, to find out whether users' learning in the news platforms will affect their sharing behavior and third, to access the impact of sharing intention on actual sharing behavior on the mobile platform. This study proposes an influence mechanism model for examining the relationship among the factors, news learning and news sharing. The proposed mechanism includes factors at three levels: personal, interpersonal and social level. To achieve this, researchers collected data from 474 mobile news users in China to test the hypotheses. The tools SPSS 26.0 and AMOS 23.0 were used to analysis the reliability, validity, model fits and structural equation modeling (SEM), respectively. The findings indicate that news learning on the mobile platforms is affected by self-efficacy and self-enhancement. And news sharing intention is influenced by self-efficacy, interpersonal trust, interpersonal reciprocity, online community identity and social norms positively. News sharing intention has a significant effect on news sharing behavior, but news learning has an insignificant relationship with new sharing. This study provides practical guidelines for mobile platform operators and news media managers by explicating the various factors of users' engagement on the news platforms. This paper also enriches the literature of news learning and news sharing on mobile by the integration of two theories: the social ecology theory and the interpersonal behavior theory.
      Citation: Library Hi Tech
      PubDate: 2022-05-16
      DOI: 10.1108/LHT-11-2021-0408
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • “To our health!” Perceived benefits offset privacy concerns in using
           national contact-tracing apps

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      Authors: Tin Trung Nguyen , Minh Tu Tran Hoang , Minh Tuan Phung
      Abstract: Community health is placed under the limelight during the COVID-19 crisis, providing a unique context for investigating citizens' health-privacy tradeoff in accepting social surveillance technology. To elucidate this tradeoff dilemma, an extended privacy calculus framework integrated with the Health Belief Model, legislative protection, and individual collectivism was examined using the case of national contact-tracing apps. The hypotheses were tested through PLS-SEM analysis with data collected from a survey on Bluezone – a national app in Vietnam. The results indicated the negative impact of privacy concerns, which was offset by the positive effect of perceived benefits in using contact-tracing apps. The effect size of perceived benefits on usage frequency was twice as large as that of privacy concerns. Individual collectivism was revealed as a mitigator of the tradeoff dilemma, as it was positively associated with perceived benefits, whereas legislative protection had no such role. Citizens may perceive legislation protection as invalid when the technologies are developed, implemented, and monitored by the authorities. The theoretical contributions lie in the extension of the privacy calculus model as well as its application in the context of mobile health apps and surveillance technology. The study empirically corroborated that the privacy calculus theory holds when technologies move along the pervasiveness spectrum. This study also provided actionable insights for policymakers and developers who advocate the mass acceptance of national contact-tracing apps.
      Citation: Library Hi Tech
      PubDate: 2022-05-13
      DOI: 10.1108/LHT-12-2021-0461
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Effects of interface layout design on mobile learning efficiency:
           a comparison of interface layouts for mobile learning platform

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      Authors: Mingming Zhang , Guanhua Hou , Yeh-Cheng Chen
      Abstract: The purpose of this study is to explore the impact of mobile learning platforms on users' study efficiency and develop cognitive indicators to evaluate users' study efficiency on mobile learning platforms. Layout style was the only independent factor that was investigated. A between-group experimental design was employed. Eye movement data were recorded during the experiment, following which participants were asked to complete an after-scenario questionnaire. This study evaluated the usability of the proposed new design using both subjective and objective data. The computer system usability questionnaire V3 (CSUQ) was used to measure subjective data. For the eye-tracking measure, gaze entropy, the proportion of fixation count and duration of each AOI were calculated. Gaze entropy reflects the complexity of information organization. Fixation counts and AOI duration represent the difficulty of information processing and attention distribution, respectively during the task. The results indicated that interface layout presents significant effects on user's learning efficiency, usability and cognitive load. Sequential layout improved efficiency and satisfaction among participants and reduced information complexity. The results provided useful insights for designers whose goal is to improve user's learning efficiency under mobile learning scheme. This study investigated the effects of interface layout on usability, user performance and cognitive load using subjective ratings and eye-tracking technology. Gaze entropy was used to measure the complexity of information organized by the interface design. Fixation count and duration proportion were used to identify the difficulty of information processing and distinguish users' distribution of cognitive resources. The results indicated that a vertical layout panel design was more efficient than a horizontal layout panel design. The design implications of the eye tracking indicators and research results were then summarized. This study is expected to encourage designers to optimize their design proposals using eye tracking testing.
      Citation: Library Hi Tech
      PubDate: 2022-05-11
      DOI: 10.1108/LHT-12-2021-0431
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A comparison study of topic modeling based literature analysis by using
           full texts and abstracts of scientific articles: a case of COVID-19
           research

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      Authors: Qiang Cao , Xian Cheng , Shaoyi Liao
      Abstract: How to extract useful information from a very large volume of literature is a great challenge for librarians. Topic modeling technique, which is a machine learning algorithm to uncover latent thematic structures from large collections of documents, is a widespread approach in literature analysis, especially with the rapid growth of academic literature. In this paper, a comparison of topic modeling based literature analysis has been done using full texts and abstracts of articles. The authors conduct a comparison study of topic modeling on full-text paper and corresponding abstract to assess the influence of the different types of documents been used as input for topic modeling. In particular, the authors use the large volumes of COVID-19 research literature as a case study for topic modeling based literature analysis. The authors illustrate the research topics, research trends and topic similarity of COVID-19 research by using Latent Dirichlet allocation (LDA) and topic visualization method. The authors found 14 research topics for COVID-19 research. The authors also found that the topic similarity between using full-text paper and corresponding abstract is higher when more documents are analyzed. First, this study contributes to the literature analysis approach. The comparison study can help us understand the influence of the different types of documents on the results of topic modeling analysis. Second, the authors present an overview of COVID-19 research by summarizing 14 research topics for it. This automated literature analysis can help specialists in the health and medical domain or other people to quickly grasp the structured morphology of the current studies for COVID-19.
      Citation: Library Hi Tech
      PubDate: 2022-05-10
      DOI: 10.1108/LHT-03-2022-0144
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Librarian’s perception on data librarianship core concepts: a survey of
           motivational factors, challenges, skills and appropriate trainings
           platforms

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      Authors: Murtaza Ashiq , Nosheen Fatima Warraich
      Abstract: Data librarianship, or data-driven librarianship, is the combination of information science, data science and e-science fields and is gaining gradual importance in the library and information science (LIS) profession. Hence, this study investigates the data librarianship core concepts (motivational factors, challenges, skills and appropriate training platforms) to learn and successfully launch data librarianship services. A survey method was used and the data were collected through online questionnaire. Purposive sampling method was applied and 132 responses were received with 76 respondents from the public and 56 from the private sector universities of Pakistan. The statistical package for social sciences (SPSS version 25) was used, and descriptive and inferential statistics were applied to analyzed the data. LIS professionals understand the importance of data-driven library services and perceive that such services are helpful in evolving the image of the library, helping with the establishment of institutional data repositories/data banks, developing data resources and services for library patrons and especially researchers, and receiving appreciation and acknowledgment from the higher authorities. The major challenges that emerged from the data were: missing data policies, limited training opportunities for data librarianship roles, no additional financial benefits, lack of infrastructure and systems, lack of organizational support for the initiation of data-driven services, and lack of skills, knowledge and expertise. Data librarianship is in its early stages in Pakistan, and consequently, the LIS professionals are lacking basic, advanced and technical data-driven skills. The policy, theoretical and practical implications describe an immediate need for framing data policies. Such policies will help the libraries or any other relevant entities to store the data and assign metadata and documentation in such a way that it is easy to retrieve and reusable for others. This is the first study in Pakistan to investigate the perceptions of LIS professionals about data librarianship core concepts: motivational factors, challenges, skills and appropriate training platforms to grasp data-driven skills and successfully launch library services.
      Citation: Library Hi Tech
      PubDate: 2022-05-10
      DOI: 10.1108/LHT-12-2021-0487
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Reflecting the trends in the academic landscape of special education using
           probabilistic dynamic topic modeling

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      Authors: Muhammad Inaam ul haq , Qianmu Li , Jun Hou
      Abstract: Special education is the education segment that deals with the students facing hurdles in the traditional education system. Research data have evolved in the domain of special education due to scientific advances. The present study aims to employ text mining to extract the latent patterns from the scientific data. This study examined the 12,781 Scopus-indexed titles, abstracts and keywords published from 1987 to 2021 through an integrated text-mining and topic modeling approach. It combines dynamic topic models with highly cited reviews of this domain. It facilitates the extraction of topic clusters and communities in the topic network. This methodology discovered children’s communication and speech using gaming techniques, mental retardation, cost effect on infant birth, involvement of special education children and their families, assistive technology information for special education, syndrome epilepsy and the impact of group study on skill development peers or self as the hottest topic of research in this domain. In addition to finding research hotspots, it further explores annual topic proportion trends, topic correlations and intertopic research areas. The results provide a comprehensive summary of the popularity of research topics in special education in the past 34 years, and the results can provide useful insights and implications, and it could be used as a guide for contributors in special education form a structured view of past research and plan future research directions.
      Citation: Library Hi Tech
      PubDate: 2022-05-04
      DOI: 10.1108/LHT-12-2021-0441
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The effectiveness of mobile learning strategies based on pervasive
           animated games: an example in a vocational technology college

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      Authors: Yuanlin Huang
      Abstract: The author proposed a mobile learning model of pervasive animated games which allows college students to learn via games accessed through a smartphone. It can develop the process of field observation and self-reflection to enhance learning effectiveness, and the motivation, and attitude of students towards learning. The author proposed a model for teaching via pervasive animated games. The author used SPSS software and Pearson's correlation coefficients to explore different mobile learning strategies and their relationship with learning attitudes and achievement. Participants were vocational technology college students, who each experienced animated games in individual and group learning settings. The results found that the learning performance of students in the individual learning group was better than that of the group learning group. A higher level of digital experience was associated with better learning performance, and a more positive attitude towards using mobile phones was associated with better learning performance. The learning method still has its limitations, the learner's digital information level, learning mode, learning attitudes will have an impact on the student playing teaching pervasive animation games. Therefore, improving student information level is one of the important topics of teaching pervasive animation games and mobile learning. The author proposed a mobile learning strategy based on pervasive animated games. The result in the strategy of mobile learning shows that the level of students' digital experience and the overall design of animated games are important criteria for successful implementation.
      Citation: Library Hi Tech
      PubDate: 2022-04-26
      DOI: 10.1108/LHT-09-2021-0336
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A research on digital learning system based on multiplayer online
           animation game

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      Authors: Liping Liu , Mingchao Li , Shanshan Ji
      Abstract: This research explores the appropriateness of using a digital learning system based on a multiplayer online animated game in firefighting education and training. Use of the game improved learning was effective. It can increase learners' understanding of the taught content and their willingness to learn. The research applies digital learning based on a multiplayer online animated game coupled with 3D and virtual reality (VR) technology. To verify the effectiveness of this approach, participants were divided into two groups, an experimental group (using the game) and a control group (not using the game). T-tests were used to compare the learning of the two groups. Firefighting knowledge was significantly better among the experimental group than the control group. Learning was explored in three different domains: basic firefighting knowledge, fire extinguisher operation and fire source identification; the latter two showed statistically significant differences. After learners acquired knowledge from multimedia, the addition of a VR exercise effectively helped them to remember what they learned and increased their understanding of the taught content. The approach proposed in this study applies digital learning via a multiplayer online animated game to explore the appropriateness of such games in firefighting education and training. Use of the game improved learning and was effective. It can not only increase learners' understanding of the taught content, but also their willingness to learn.
      Citation: Library Hi Tech
      PubDate: 2022-04-22
      DOI: 10.1108/LHT-10-2021-0354
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The acceptance and use of smartphones among older adults: differences in
           UTAUT determinants before and after training

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      Authors: Cheng-Chia Yang , Cheng Liu , Yi-Shun Wang
      Abstract: This article aims at a Unified Theory of Acceptance and Use of Technology (UTAUT) model framework that was used to investigate the impact of a 16-h smartphone training program on the correlations among different constructs of smartphone use in a sample of older adults. A total of 208 participants aged 60–78 (mean: 65.4) years completed a questionnaire that collected information on demographic variables and the frequency and duration of smartphone use as well as the answers to questions on the six UTAUT constructs of performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioral intention and usage behavior. The data were analyzed using partial least squares analysis. This study was the first to compare post-training changes in the correlations among UTAUT constructs. The results revealed significant post-training changes in all construct correlations. Behavioral intention and facilitating conditions were shown to significantly impact usage behavior both before and after training and performance expectancy was shown to impact behavioral intention before training. After training, both effort expectancy and social influence were found to impact behavioral intention significantly. Moreover, the impact of facilitating conditions on usage behavior was significantly increased after training. To date, no study published in the literature has investigated the impact of technological training on the technology-use intentions and behaviors of older adults. The findings of this study suggest that, for older adults, the results of the acceptance and use model for smartphones change significantly and positively between pre-smartphone training and post-smartphone training time points. The findings support that technology training has a positive impact on smartphone use in older adults.
      Citation: Library Hi Tech
      PubDate: 2022-04-21
      DOI: 10.1108/LHT-12-2021-0432
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Facilitated virtual learning for advanced geriatric education among
           nursing students during the COVID pandemic in Taiwan

         This is an Open Access Article Open Access Article

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      Authors: Pei-Lun Hsieh , Shang-Yu Yang , Wen-Yen Lin , Tien-Chi Huang
      Abstract: This study explored the students' perception of their adoption and acceptance of virtual learning (VL), the factors affecting the adoption of educational technologies and the correlation between their intention, perceived behavioral control and care competence in caring for older adults. A cross-sectional survey was conducted. Surveys were administered to evaluate the participants who were involved in VL on geriatric care during coronavirus disease 2019 (COVID-19) pandemic. A total of 315 nursing students participated in the survey, and 287 valid questionnaires were collected (response rate: 91.11%). A total of 287 participants (mean age 21.09, SD 1.44 years; 242/287, 84.3% female) were included in the study. The variables of intention to use technologies were positively correlated with care competence (r = 0.59, p 
      Citation: Library Hi Tech
      PubDate: 2022-04-21
      DOI: 10.1108/LHT-12-2021-0472
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Thematic evolution of coronavirus disease: a longitudinal co-word analysis

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      Authors: Mahdiyeh Khazaneha , Oranus Tajedini , Omid Esmaeili , Mehdi Abdi , Ali Akbar Khasseh , Ali Sadatmoosavi
      Abstract: Using science mapping analysis approach and co-word analysis, the present study explores and visualizes research fields and thematic evolution of the coronavirus. Based on this method, one can get a picture of the real content of the themes in the mentioned thematic area and identify the main minor and emerging themes. This study was conducted based on co-word science mapping analysis under a longitudinal study (from 1988 to 2020). The collection of documents in this study was further divided into three subperiods: 1988–1998, 1999–2009 and 2010–2020. In order to perform science mapping analysis based on co-word bibliographic networks, SciMAT was utilized as a bibliometric tool. Moreover, WoS, PubMed and Scopus bibliographic databases were used to download all records. In this study, strategic diagrams were demonstrated for the coronavirus research for a chronological period to assess the most relevant themes. Each diagram depended on the sum of documents linked to each research topic. In the first period (1988–1998), the most centralizations were on virology and evaluation of coronavirus structure and its structural and nonstructural proteins. In the second period (1999–2009), with due attention to high population density in eastern Asia and the increasing number of people affected with the new generation of coronavirus (named severe acute respiratory syndrome virus or SARS virus), publications have been concentrated on “antiviral activity.” In the third period (2010–2020), there was a tendency to investigate clinical syndromes, and most of the publications and citations were about hot topics like “severe acute respiratory syndrome,” “coronavirus” and “respiratory tract disease.” Scientometric analysis of the field of coronavirus can be regarded as a roadmap for future research and policymaking in this important area. The originality of this research can be considered in two ways. First, the strategic diagrams of coronavirus are drawn in four thematic areas including motor cluster, basic and transversal cluster, highly developed cluster and emerging and declining cluster. Second, COVID-19 is mentioned as a hot topic of research.
      Citation: Library Hi Tech
      PubDate: 2022-04-12
      DOI: 10.1108/LHT-10-2021-0370
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The effect of mobile business simulation games in entrepreneurship
           education: a quasi-experiment

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      Authors: JiaChun Chen , Liangziye Tang , Honghong Tian , Ruiqiu Ou , Jingan Wang , Quan Chen
      Abstract: During the current global epidemic, e-learning and mobile learning have been rapidly developed in the field of entrepreneurship education. The effect of these learning methods remains to be confirmed. The purpose of this paper is to explore the effect of mobile business simulation games in entrepreneurship education. From May 2020 to July 2020, the authors adopted a quasi-experimental design to explore the effect of mobile business simulation games in entrepreneurship education. The authors set up an experimental group to participate in mobile business simulation games, with a total of 105 students, and set up a control group of 100 students. At the beginning and end of the experiment, data on entrepreneurial attitude, self-efficacy, entrepreneurial intention and other related variables were collected. Paired sample T-test and regression analysis were used to analyze the results. The authors found that mobile business simulation games can improve entrepreneurial attitudes and self-efficacy, but cannot change entrepreneurial intentions. The paired sample T-test in the experimental group showed that the entrepreneurial attitude and entrepreneurial self-efficacy of the participants were significantly improved, but the entrepreneurial intention did not change significantly. The above three variables did not change significantly in the control group. The research results also show that flow experience is very important in mobile business simulation games, which can improve entrepreneurial attitude and entrepreneurial self-efficacy. The authors’ findings confirm the positive effects of mobile business simulation games in entrepreneurship education, which can improve entrepreneurial attitudes and entrepreneurial self-efficacy. But the disadvantage of mobile business simulation games is that they cannot increase entrepreneurial intention. In addition, the flow experience needs to be valued in mobile business simulation games. The research in this paper has implications for how mobile learning can be used in entrepreneurship education during the COVID-19 pandemic. In addition, research is of great value on how mobile business simulation games can be improved.
      Citation: Library Hi Tech
      PubDate: 2022-04-08
      DOI: 10.1108/LHT-12-2021-0509
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A bibliometric analysis on innovation convergence

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      Authors: Wenyue Cui , Jie Tang , Zhipeng Zhang , Xin Dai
      Abstract: Innovation convergence is critical to national or regional economic growth patterns. This article provides a systematic review of innovation convergence research through qualitative discussions combined with bibliometric methods. Through this article, researchers interested in the field of innovation convergence can quickly understand the development of the field, quickly identify authors and publications with significant impact, and collaborative networks in the field. This article is based on the relevant literature included in the WOS database from 1990 to 2021, using Citespace, Gephi and other software to conduct a systematic bibliometric analysis of the research in the new convergence field. This research shows that the second half of the twentieth century was a boom period for research on economic convergence. 2. The subject foundation of innovation convergence research mainly includes mathematics, economics, political science and computational science. 3. The journals that publish research in this field are widely distributed, including the fields of economics, natural sciences and complex sciences. 4. The research in the field of innovation convergence is inseparable from the research in the field of economic growth. This study may help others to understand the development history and research trends of the innovation convergence field, as well as the literature and cooperative scientific research institutions that have an important influence.
      Citation: Library Hi Tech
      PubDate: 2022-04-05
      DOI: 10.1108/LHT-12-2021-0430
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Leaders, practitioners and scientists' awareness of artificial
           intelligence in libraries: a pilot study

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      Authors: Dessy Harisanty , Nove E. Variant Anna , Tesa Eranti Putri , Aji Akbar Firdaus , Nurul Aida Noor Azizi
      Abstract: This study investigates the level of artificial intelligence (AI) awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the benefits of AI implementation and its necessary infrastructure and challenges. The study adopted a purposive sampling technique to select the 38 participants and thematic analysis to analyze the data, identifying eight themes: understanding of AI, AI adoption, benefits of AI, competencies needed to support AI, facilities to support AI, factors supporting AI adoption, AI-inhibiting factors and expectations of AI. Different viewpoints provided full awareness among library stakeholders and sufficient information to begin AI initiatives in Indonesian libraries as leaders, practitioners and scientists had a favorable, open and encouraging outlook on AI. The study does not investigate variations in perspectives between the participants, but it examines their understanding of AI and elaborates the results into the concept of an intelligent library. Moreover, this study only uses samples from academic libraries. Libraries can take these results into consideration before implementing AI, especially in technology and facilities, librarian competency with regard to AI and leadership roles in AI projects. Library boards and library associations can use this research as a source to create guidelines about AI implementation in academic libraries. The study addresses the gap in the research on university libraries' readiness and awareness to implement AI, especially in developing countries.
      Citation: Library Hi Tech
      PubDate: 2022-04-04
      DOI: 10.1108/LHT-10-2021-0356
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Construction of alternate peer teaching method for digital animation game
           design

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      Authors: Haitang Wu , Hua Tu
      Abstract: The purpose of this paper is to develop the teaching strategies of alternating peer teaching and progressive project-oriented learning, and apply them to the curriculum design of digital animation game production, and conduct teaching experimental research. This research method under the teaching strategies of alternating peer teaching and progressive project-oriented learning, to the design of digital animation game and use teaching experiment animation game production tool was Game Maker animation game production software to develop the study. The production of learning history data was used in-game projects, to verify the digital animation game design effectiveness was used SPSS statistics method, and was to compare the learning effectiveness of the different teaching modes. Through experimental design, learners can acquire the knowledge and skills of digital animation game production under the guidance of progressive project-oriented teaching strategies. In terms of the cognition and skills of animation game production, learners have acquired the skills of taking them in animation game design to be able to independently produce and design digital animation games. The research results can be used as a reference for future research on digital animation game teaching and curriculum development. This study proposed a new approach to develop the teaching strategies of alternating peer teaching and progressive project-oriented learning, to design digital animation games. The research results show that effective teaching strategies guide successful learning, it can be used as a reference for future research on digital animation game teaching and curriculum development.
      Citation: Library Hi Tech
      PubDate: 2022-03-31
      DOI: 10.1108/LHT-11-2021-0388
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Analysis of the critical success factors of mobile animation games based
           on a consistent fuzzy preference relationship

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      Authors: Rong Zhang , Yu-Teng Chang
      Abstract: The purpose of this research is to explore the critical success factors of mobile animation games, by exploring the game itself, information systems, game motivation and promotional activities, as well as conducting research and analysis on mobile animation game players. This research used the Analysis Hierarchy Process (AHP) method and the consistent fuzzy preference relationship for data analysis. In this study, collect 1,286 valid questionnaires through online questionnaire surveys. And comparing the two games “Legend Showdown” and “Tower of Gods and Demons”, players believe that the more successful mobile animation game is “Legend Showdown”. Through experimental design, and the consistent fuzzy preference relationship for data analysis. The results found that the critical factors considered by the player in relation to the mobile animation game were firstly the information system, followed by promotional activities, game motivation and finally the game itself. Because this research does not involve the concept of fuzzy theory at all, it is easy to produce subjective, uncertain and ambiguity issues when comparing pairwise. We recommended that follow-up researchers can use fuzzy semantic preference relations to solve this problem. This study proposed a new approach that takes the critical factors for the mobile animation game. According to the research results, the critical success factor of mobile animation games is the information system, as it could provide a reference direction for game manufacturers when designing or formulating marketing strategies in the future.
      Citation: Library Hi Tech
      PubDate: 2022-03-21
      DOI: 10.1108/LHT-11-2021-0399
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Analyzing legal education mobile learner's behavior using deep learning
           under social media

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      Authors: Zhen Chen
      Abstract: Under emerging social media technology, mobile learners' behavior analysis and legality education have important practical significance. The research aims to detect the mobile learning (M-learning) learners' behavior in legality education under the background of the Internet era and improve the learning and teaching effect of online legality education and law popularization. This paper proposes a model based on deep learning (DL) fuzzy clustering analysis (FCA), and bidirectional encoder and decoder (ENDEC) of converter model to detect the mobile learners' behaviors in online legality education under the current social media. Then, the effectiveness of the proposed model is tested. The proposed model expects to be applied to multimedia teaching and law popularization activities and provides some theoretical reference and practical value for improving the effectiveness of online teaching. The experimental results show that in the learner behavior detection process of M-learning-oriented online legality education, the model's accuracy can reach 99.8%. The response time is shorter than other algorithms. Overall, the application effect of the proposed model and algorithm is good and can be applied in practice. The research results may lack universality due to the selected research methods. Therefore, researchers are encouraged to test the proposed methods further. In the future, it is necessary to expand the type and scale of text data to improve the accuracy of data detection. The research results provide a specific theoretical reference and practical significance for improving the learning effect of online M-learning-oriented legality education. This paper meets the needs of mobile learner behavior analysis based on social media.
      Citation: Library Hi Tech
      PubDate: 2022-03-18
      DOI: 10.1108/LHT-10-2021-0355
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The influence of organizational learning on library service innovation

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      Authors: Zifan Zhou , Yufeng Duan , Junping Qiu , Li Yang
      Abstract: This article intends to explore how organizational learning affects innovation in public library services, and the role of public librarians in innovation in library services. This study collected 375 valid questionnaires from 19 public libraries in Shanghai and Zhejiang based on organizational learning, organizational innovation and employee psychological empowerment theory. Additionally, SPSS and HLM are used to analyze the relationship among the three processes of organizational learning: knowledge acquisition, knowledge sharing and knowledge application, and public library service innovation. Results show that organizational learning has a significant positive effect on the service innovation of public libraries. Knowledge acquisition and knowledge application in the process of organizational learning have a significant positive influence on the service innovation of public libraries, but the impact of knowledge sharing on service innovation is weak. Employee psychological empowerment has a negative regulating influence on knowledge sharing–public library service innovation, but no significant influence on knowledge application–public library service innovation and knowledge acquisition–public library service innovation. This research explores the effectiveness of the theory of organizational learning in the field of public libraries and also confirms the role of librarians in the work of public libraries. Together, they promote the innovation of public libraries.
      Citation: Library Hi Tech
      PubDate: 2022-03-08
      DOI: 10.1108/LHT-04-2021-0148
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Artificial intelligence (AI) library services innovative conceptual
           framework for the digital transformation of university education

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      Authors: Rifqah Olufunmilayo Okunlaya , Norris Syed Abdullah , Rose Alinda Alias
      Abstract: Artificial intelligence (AI) is one of the latest digital transformation (DT) technological trends the university library can use to provide library users with alternative educational services. AI can foster intelligent decisions for retrieving and sharing information for learning and research. However, extant literature confirms a low adoption rate by the university libraries in using AI to provide innovative alternative services, as this is missing in their strategic plan. The research develops (AI-LSICF) an artificial intelligence library services innovative conceptual framework to provide new insight into how AI technology can be used to deliver value-added innovative library services to achieve digital transformation. It will also encourage library and information professionals to adopt AI to complement effective service delivery. This study adopts a qualitative content analysis to investigate extant literature on how AI adoption fosters innovative services in various organisations. The study also used content analysis to generate possible solutions to aid AI service innovation and delivery in university libraries. This study uses its findings to develop an Artificial Intelligence Library Services Innovative Conceptual Framework (AI-LSICF) by integrating AI applications and functions into the digital transformation framework elements and discussed using a service innovation framework. In research, AI-LSICF helps increase an understanding of AI by presenting new insights into how the university library can leverage technology to actualise innovation in service provision to foster DT. This trail will be valuable to scholars and academics interested in addressing the application pathways of AI library service innovation, which is still under-explored in digital transformation. In practice, AI-LSICF could reform the information industry from its traditional brands into a more applied and resolutely customer-driven organisation. This reformation will awaken awareness of how librarians and information professionals can leverage technology to catch up with digital transformation in this age of the fourth industrial revolution. The enlightenment of AI-LSICF will motivate library professionals to take advantage of AI's potential to enhance their current business model and achieve a unique competitive advantage within their community. AI-LSICF development serves as a revelation, motivating university libraries and information professionals to consider AI in their strategic plan to enable technology to support university education. This act will enable alternative service delivery in the face of unforeseen circumstances like technological disruption and the present global COVID-19 pandemic that requires non-physical interaction.
      Citation: Library Hi Tech
      PubDate: 2022-03-07
      DOI: 10.1108/LHT-07-2021-0242
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Frontier hotspots and trend evolution of cultural and creative design in
           China—an empirical research on CNKI-based bibliometrics

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      Authors: Xin Feng , Lei Yu , Weixin Kong , Jingya Wang
      Abstract: With the continuous improvement of social and economic development as well as the rising level of demand for spiritual life, the design of cultural and creative products has ushered in new opportunities and challenges. Therefore the research related to cultural and creative products design is an inevitable choice for industrial innovation and market competition. The article aims to analyze the frontier hotspots and trend evolution of theoretical research on cultural and creative design in China by presenting different research fields, personnel and institutions embodied by cultural and creative products, thus providing a forward-looking development reference for China's special cultural and creative product design practice. In this paper, the visualized citation analysis tool — CiteSpace V is used to analyze and map the relevant literature of Chinese cultural and creative design in CNKI (Chinese National Knowledge Infrastructure) as the data sources, through bibliometric methods, in order to study the application development of Chinese cultural and creative design and provide reference for the application research of Chinese cultural and creative industries. With the improvement of China's comprehensive strength, cultural self-confidence and strategy are being paid more and more attention by scholars; with the future research of China's cultural and creative design theory, cross-integration becomes the future trend; with the gradual maturity of China's cultural and creative design methodology, how to choose the right method for pioneering research is a difficulty for the future development of cultural and creative design; with the continuous development of China's economy, the method construction of innovative cultural and creative industry system becomes the focus of future research; with the continuous progress of science and technology, the integration of emotion and product industry is the mainstream of future development on cultural and creative design. Through an objective empirical analysis of the development of Chinese cultural and creative products, it will broaden the research horizons of relevant scholars, understand the development direction of China's cultural and creative industries, enrich the design practice application of Chinese cultural and creative products, enhance the understanding of international counterparts on Chinese cultural and creative design research and promote the exchange among international counterparts.
      Citation: Library Hi Tech
      PubDate: 2022-03-07
      DOI: 10.1108/LHT-10-2021-0353
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Does the venue of scientific conferences leverage their impact' A
           large scale study on Computer Science conferences

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      Authors: Luca Bedogni , Giacomo Cabri , Riccardo Martoglia , Francesco Poggi
      Abstract: Conferences bring scientists together and provide one of the most timely means for disseminating new ideas and cutting-edge works. The importance of conferences in many scientific areas is testified by quantitative indexes. The main goal of this paper is to investigate a novel research question: is there any correlation between the impact of scientific conferences and the venue where they took place' To measure the impact of conferences, the authors conducted a large scale analysis on the bibliographic data extracted from 3,838 Computer Science conference series and over 2.5 million papers spanning more than 30 years of research. To quantify the “touristicity'' of a venue, the authors exploited indexes about the attractiveness of a venue from reports of the World Economic Forum, and have extracted four country-wide and two city-wide touristic indexes, which measure the attractiveness and the touristicity of any country or city. The authors found out that the two aspects are related, and the correlation with conference impact is stronger when considering country-wide touristic indexes, achieving a correlation value of more than 0.5 when considering the average citations, and more than 0.8 when considering the total citations. Moreover the almost linear correlation with the Tourist Service Infrastructure index attests the specific importance of tourist/accommodation facilities in a given country. There are two main limitations of this work: (1) the use of citations to evaluate the attractiveness of the conferences and (2) the difficulty to formally define the touristic attractiveness of a venue. Starting from the results concerning the correlation between different touristicity indicators and the outcome of a conference in terms of citations, it would be possible to support conference organizers in their decisions. For instance, they could plan in advance conference venues considering the same touristicity indicators, comparing different options and selecting cities which have high scores. This will allow for rapid planning of a conference venue, encompassing the easiness of travel and the attractivity of a venue, hence increasing the potential outcomes of the conference. Regarding the social implications, this study will enable the possibility for municipalities and conference organizers to understand what it can be improved in a specific venue to make it more attractive. This may include better transport connections or selecting cities which show a high potential regarding the touristicity index. Regarding the willingness of a researcher to submit a paper to a specific conference, it would be unaltered, meaning that what the results show is that there is already a mental process, before submitting a paper to a conference, which considers these indicators. This is the first attempt to focus on the relationship of venue characteristics to conference papers. The results open up new possibilities, such as supporting conference organizers in their organization efforts.
      Citation: Library Hi Tech
      PubDate: 2022-03-04
      DOI: 10.1108/LHT-09-2021-0305
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Analysis of interdisciplinary characteristics and knowledge structure from
           multidimensional perspective: a case study of national fitness topic in
           China

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      Authors: Xin Feng , Yuehao Liu , Xu Wang
      Abstract: The sudden COVID-19 epidemic in 2019 has frustrated China's overall economy, and the implementation and development of the National Fitness Program has encountered huge obstacles. At a new historical starting point, in order to realize the dream of becoming a powerful country in sports, it is necessary to transform the successful experience gained since the reform and opening up into regular understanding and systematic theories, so as to make a theoretical response to the new contradictions and challenges faced in development and give full play to the National Fitness has comprehensive values and multiple functions in improving people's health, promoting people's all-round development, promoting economic and social development and demonstrating the country's cultural soft power. Taking the topic of national fitness as an example, this paper sets out from the three dimensions of knowledge input, knowledge output and knowledge production, using citation analysis, social network analysis, co-word analysis and cluster analysis, to measure the characteristics and knowledge structure of interdisciplinary knowledge exchange. China's national fitness is still in the primary development stage, and the strong boost of the national top-level policy is the biggest driving force of its development, driven by the policy together with the settlement of many major events, constantly improving and enriching the wings. The main body of knowledge production on the topic of national fitness is mainly colleges and universities, with low participation of government and enterprises, high degree of cooperation among authors, obvious interdisciplinary characteristics and strong application of research themes. This study provides a strong theoretical basis for the promotion of the Healthy China strategy. Especially under the influence of COVID-19, this paper can contribute to the comprehensive value and multimodal functions of national fitness in improving the health of people, promoting economic and social development and demonstrating the soft power of national culture.
      Citation: Library Hi Tech
      PubDate: 2022-03-03
      DOI: 10.1108/LHT-06-2021-0189
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The impact of student learning aids on deep learning and mobile platform
           on learning behavior

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      Authors: Yanli Fan , Liyan Liu
      Abstract: Deep learning (DL) technology is used to design a voice evaluation system to understand the impact of learning aids on DL and mobile platforms on students’ learning behavior. DL technology is used to design a speech evaluation system. The experimental results show that the speech evaluation system designed has a high accuracy rate, the highest agreement rate with manual evaluation of pronunciation is 89.5%, and the correct speech recognition rate is 96.64%. The designed voice evaluation system and the manual voice rating system have a maximum error rate of 2%. The experimental results suggest that it is necessary to further optimize the learning aids for mobile platform. The learning aids of the mobile platform need to be further optimized to promote the improvement of student learning efficiency. The results show that the speech evaluation system designed has good practical application value, and it provides a certain reference value for the future study of learning tools on DL.
      Citation: Library Hi Tech
      PubDate: 2022-03-02
      DOI: 10.1108/LHT-09-2021-0333
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Students' perceptions of augmented reality integrated into a mobile
           learning environment

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      Authors: Mingchao Li , Liping Liu
      Abstract: This study was based on situated learning, by combining mobile learning and augmented reality, so that students could not only access information content in a real environment but also obtain such information via augmented reality, to support mobile learning. The research included development of an augmented reality system combined with situational learning, used by students to learn about campus plants as part of the college life technology curriculum. Students took part in mobile learning, and an investigation was conducted into the computer learning behaviour of notebook users. College students were used as the experimental subjects. Data were collected using questionnaire surveys and were evaluated in order to identify the behavioural intentions of learners in outdoor learning activities. The questionnaire survey covered environmental interactivity, system quality and textbook content. It was found that learners who used mobile learning augmented reality (MLAR) generally managed to browse all the contents of the textbook at each learning location, without spending too much time looking for information, and learners could quickly integrate this into the learning situation. Learners who used MLAR had a strong motivation to study plants at the learning site because they wanted to use the augmented reality technology to observe virtual plant models. Learners who used MLAR in their field learning liked using augmented reality for further learning, for example, using a magic wand to interact with the technology. This study adopted a new approach to deliver elements of the life technology curriculum, integrating augmented reality into mobile learning. All participating students gave positive reviews of six aspects of the proposed system: their behavioural intentions, cognitive usefulness, cognitive ease of use, environmental interactivity, system quality and textbook content.
      Citation: Library Hi Tech
      PubDate: 2022-03-02
      DOI: 10.1108/LHT-10-2021-0345
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • “Tinkering is underrated”: librarians' use of single-board computers
           and microcontrollers outside of makerspaces

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      Authors: Monica Grace Maceli
      Abstract: This research seeks to better understand the potential uses of maker technologies, such as single-board computers and microcontrollers, more broadly within libraries and not simply confined to the makerspace. Through interviews with librarians creating such projects, this study illustrates their successes, challenges, means of acquiring the necessary skills and knowledge, as well as their perceptions of the broader benefits and challenges to other library and information science practitioners. This research study employed semistructured interviews with 12 librarians who have created projects with maker technologies for broader library use. Inductive qualitative analysis of the interview transcripts was conducted to identify themes of interest to the stated research questions. Librarians' projects included: displaying digital signage, hosting online public access catalog stations, tallying reference desk interactions, counting patrons at the gate and monitoring 3-D printing statistics, among others. Participants appreciated the low-cost, flexible and creative nature of such technologies, and though they also encountered technical and organizational challenges in their use, relayed a potential series of benefits to librarians and library staff were these technologies to be more widely used. Although significant research efforts have focused on aspects of makerspaces across all types of libraries, little work has formally collected and assessed library practitioners' work with maker technologies outside of the makerspace. Participants help detail the potential benefits of having a deeper understanding of this work, and the successes it could bring to librarians' work.
      Citation: Library Hi Tech
      PubDate: 2022-03-01
      DOI: 10.1108/LHT-11-2021-0378
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • College students' Twitter usage and psychological well-being from the
           perspective of generalised trust: comparing changes before and during the
           COVID-19 pandemic

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      Authors: Shaoyu Ye , Kevin K.W. Ho
      Abstract: This study investigated the relationship between generalised trust and psychological well-being in college students, considering the social support obtained from their social networks via Twitter and face-to-face (FTF) interactions. Initially, the authors planned to collect data at the beginning of the first semester in 2019 for fine-tuning the model as a pilot study, and in 2020 for the main study. However, due to the coronavirus disease 2019 (COVID-19) pandemic, the data helped authors to analyse changes in young people's psychological situation before and during the pandemic in Japan. The study conducted a self-report survey targeting college students in the Kanto region in Japan. Data were collected from mid-May to the end of June 2019, as well as in early to mid-June 2020, with 304 and 584 responses, respectively. The collected data were analysed using structural equation modelling and a multiple regression analysis. The findings using the 2019 data set indicated that (a) students mostly used Twitter for information gathering and sharing of hobbies, and they received both informatics and emotional support from Twitter, and from FTF interactions; (b) there were direct positive effects of generalised trust and social skills on their psychological well-being; and (c) students with lower levels of generalised trust tended to interact with very intimate individuals using Twitter to obtain social support, which did not have any effects on their improvement of psychological well-being. From the 2020 data set, the authors also found that, like 2019, generalised trust and social skills had direct effects on the improvement of psychological well-being. Additionally, we observed that students spent more time using Twitter and received more emotional support from it, as most people tried not to meet other people in person due to the first State of Emergency in Japan. Similarly, the authors found that in 2019, only social support from very intimate partners via FTF communication had slightly significant effects on improving their psychological well-being, whereas in 2020, their expectation for social networks via FTF had decreased their levels of psychological well-being, but their social support from Twitter had slightly significant effects on their improvement of psychological well-being. One of the main reasons for this might be due to the challenge of meeting with others in person, and therefore, social support from Twitter partially played a role that traditionally was only beneficial through FTF communication. We understand that this is one of the few social psychological studies on social media that collected data both before and during the COVID-19 pandemic. It provides unique evidence in demonstrating how the COVID-19 pandemic has changed college students communication behaviours.
      Citation: Library Hi Tech
      PubDate: 2022-02-25
      DOI: 10.1108/LHT-06-2021-0178
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Comprehensive three-phase bibliometric assessment on the blockchain
           (2012–2020

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      Authors: Sana Alam , Shehnila Zardari , Jawwad Shamsi
      Abstract: The research work provides a comprehensive bibliometric analysis on blockchain in general and with respect to trust and reputation management in particular. The research work also incorporates the research progress in Pakistan in the field of blockchain. The research study is conducted in three phases in which 9 different research questions are assessed for the time duration of 2012–2020 on a total of 9,314 published studies. The source of the research study is from one of the most prestigious databases, the Web of Science (WoS). The scholarly publication includes analysis on WoS categories, annual publication trends, types of documents, research areas, and collaboration network amongst countries, co-word analysis, top 10 countries and top 10 organizations with respect to research publications. The authors use VOSviewer tool to generate collaboration network of countries and co-occurrence network for co-word analysis. The connecting thread among the research question is the overarching research objective of exploring and understanding research out in blockchain. The authors have conducted the research in three phases. Phase 1 is planned to show various quantitative analysis of blockchain worldwide with respect to all 9 questions. In Phase II, prime importance is being given to the trust and reputation management aspect of blockchain. Phase III is concerned with the findings of 9 research questions with Pakistan as the ultimate focus. Major findings include that China and the USA are the leading countries as they have contributed the most in research field of blockchain. Computer science emerged as the leading research area. The first research article dates back to 2013 with significant rise in publication trend over the last 4 years from 2017–2020. Trust management emerged as one of the key fields where blockchain plays a pivotal role. Pakistan occupies a position in top 20 countries with respect to research contribution. However, in order to rank amongst top 10 research countries, Pakistan needs rapid technological advancement. The immense rise in research publication trend in Pakistan from the year 2019–2020 as compared to prior 2019 era indicates that due focus is being given in the field of blockchain in Pakistan since the last two years. The authors have considered WoS data source. Therefore, the study is limited to those published scholarly studies which are present in WoS database. More detailed assessment can be performed by analyzing other data resources. The authors have performed analysis based on 9 research questions. However, other parameters can also be included to perform more enhanced and detailed analysis. All types of documents are included in our research work including secondary studies also. However, some authors might not prefer to include all types of documents. The paper includes implications for the development of trust and reputation management area of blockchain. The bibliometric analysis is worthy for scholars, researchers and students to help them make better decision in the field of blockchain with respect to various parameters. The study also serves as a motivating factor to conduct research in the area of blockchain with any language as a medium of research.
      Citation: Library Hi Tech
      PubDate: 2022-02-25
      DOI: 10.1108/LHT-07-2021-0244
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Operation management of academic libraries in Hong Kong under COVID-19

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      Authors: Pui Yik Yu , Ernest Tak Hei Lam , Dickson K.W. Chiu
      Abstract: This research studies the influence of the COVID-19 pandemic on the operation management of Hong Kong academic libraries for understanding the difficulties and challenges for librarians to adapt to the special arrangements during the pandemic. Qualitative semi-structured interviews were conducted with librarians in major universities and higher education institutions of Hong Kong. Participants were interviewed either in the face-to-face format or text-based format. Participants provided a broad scope about the actual library management and operation changes during the COVID-19. According to the respondents, the most challenging problem for librarians during COVID-19 was to strike a balance between concerns of library staff and users. While they described how these arrangements and changes affected the service quality of academic libraries from different perspectives, the pandemic situation also brought some opportunities, such as pushing the digitalization of all collections and using online resources for future development. A hybrid model for library service would be more common in the future with more demands toward online resources and digital collection, in which academic libraries should be prepared after the pandemic. This paper provided broad insights into library management and the future development of academic libraries for the post-COVID-19 period. There are scant studies of this topic, especially in an Asian metropolis context with dense population, small campus and limited library physical spaces.
      Citation: Library Hi Tech
      PubDate: 2022-02-16
      DOI: 10.1108/LHT-10-2021-0342
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • What are the key indicators for evaluating the service satisfaction of
           WeChat official accounts in Chinese academic libraries'

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      Authors: Kun Zhang , Peixin Lu
      Abstract: WeChat official account (WCOA) is an emerging and important platform for academic library services, which greatly accelerates the development of this field. This article aims to identify key evaluation indicators for users' satisfaction of the Academic Library WeChat Official Account (ALWCOA) as a reference for future improvements. Based on the updated DeLone and McLean (D&M)’s model and Delphi method, an evaluation system of ALWCOA satisfaction was constructed. Then 212 university students were recruited to fill out a questionnaire on evaluation indicators. The grey relational analysis (GRA) and Pareto's principle were employed to analyze the questionnaire and select key evaluation indicators. An ALWCOA service satisfaction evaluation system with three evaluation dimensions and 15 evaluation indicators was constructed, and three key evaluation indicators were identified, including service responsiveness, information timeliness and system security. This article provides a strategy for assessing ALWCOA service satisfaction, as well as insights for improving of ALWCOA service. Specifically, academic libraries should pay more attention to improving service responsiveness, information timeliness and system security. This article innovatively applied the updated D&M model in academic library service. Additionally, it facilitates the development of research fields, such as academic library services, microservices and user service evaluation, and provides a case study to better understand the WCOA.
      Citation: Library Hi Tech
      PubDate: 2022-02-15
      DOI: 10.1108/LHT-07-2021-0218
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A quantitative review of LIS programs accredited by ALA and CILIP under
           contemporary technology advancement

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      Authors: Andrew Chean Yang Yew , Dickson K.W. Chiu , Yuriko Nakamura , King Kwan Li
      Abstract: Advancements in technology have led to many changes in the field of Library and Information Science (LIS). As global communications and technology continue to become more available and sophisticated, LIS programs need to prepare students for employment in rapidly changing and globalized LIS professions. Data from a total of 63 programs from the American Library Association (ALA) and 32 programs from the Chartered Institute of Library and Information Professionals (CILIP) was collected through openly accessible websites of these programs. Areas explored include program name, name and level of the academic unit offering the program, credit hours, required courses, percentage of required courses and capstone measurements used within the different LIS programs. A majority of programs still preserve the keyword “Library” in their name, but not the academic units offering them. Most programs in ALA and CILIP follow a semester-based program. Research methods, internships, practical experience, combined with traditional library core and information technology requirements were found to constitute the major subjects in general. Comprehensive exams were replaced by e-portfolios among ALA programs while a dissertation remains the preferred choice of capstone requirement for CILIP. Scant studies compare accredited LIS programs worldwide, motivating the study of the similarities, differences and trends of LIS programs under the current globalized technology-driven knowledge economy. This paper seeks to fill the literature gap and promote a global discussion and understanding of LIS curricula in different regions of the world, guiding potential students to select their suitable LIS programs.
      Citation: Library Hi Tech
      PubDate: 2022-02-15
      DOI: 10.1108/LHT-12-2021-0442
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Mobile visual search model for Dunhuang murals in the smart library

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      Authors: Ziming Zeng , Shouqiang Sun , Tingting Li , Jie Yin , Yueyan Shen
      Abstract: The purpose of this paper is to build a mobile visual search service system for the protection of Dunhuang cultural heritage in the smart library. A novel mobile visual search model for Dunhuang murals is proposed to help users acquire rich knowledge and services conveniently. First, local and global features of images are extracted, and the visual dictionary is generated by the k-means clustering. Second, the mobile visual search model based on the bag-of-words (BOW) and multiple semantic associations is constructed. Third, the mobile visual search service system of the smart library is designed in the cloud environment. Furthermore, Dunhuang mural images are collected to verify this model. The findings reveal that the BOW_SIFT_HSV_MSA model has better search performance for Dunhuang mural images when the scale-invariant feature transform (SIFT) and the hue, saturation and value (HSV) are used to extract local and global features of the images. Compared with different methods, this model is the most effective way to search images with the semantic association in the topic, time and space dimensions. Dunhuang mural image set is a part of the vast resources stored in the smart library, and the fine-grained semantic labels could be applied to meet diverse search needs. The mobile visual search service system is constructed to provide users with Dunhuang cultural services in the smart library. A novel mobile visual search model based on BOW and multiple semantic associations is proposed. This study can also provide references for the protection and utilization of other cultural heritages.
      Citation: Library Hi Tech
      PubDate: 2022-01-26
      DOI: 10.1108/LHT-03-2021-0079
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • A bibliometric study on library and information science and information
           systems literature during 2010–2019

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      Authors: Manjula Wijewickrema
      Abstract: Studying the nature of research progress in interrelated research domains is important for evaluating the research productivity and to understand the current trends of the area of research. This study aims to examine a research domain that combines library and information science with information systems (IS). Quartile 1 journals that cover both subject domains in SCImago were selected for the study. Bibliographic records of the publications during 2010 and 2019 were retrieved from the Scopus database. VOSviewer data visualization tool was used to perform citation, coauthorship, bibliographic coupling, cocitation and co-occurrence analysis. In addition, descriptive and inferential statistics were exploited. The absence of a consistent association between the number of documents authored and the number of citations received by a researcher was an important finding of the study. The strong association of authors regardless of the different topics they researched and the trend of increasing interest on collaborative research were also highlighted. Moreover, the authors who received the highest number of citations were not always the first authors of the documents which received the most citations. The documents published in information management, information theory and IS journals attained the most citations. The journals, institutions and countries with the highest number of documents and citations were also revealed by the research. Electrical engineering departments showed a higher research productivity, while they were utilized more compared to that of other departments. IS and management, information theory, communication, information retrieval, geographic-based IS and bioinformatics were the six major research areas of the considered domain. This is the first study related to examining the research progress in a combined subject domain using multiple aspects including, individual performance, institutional progress, geographical contribution and so on. Identifying the major research areas in the combined subject domain can also be considered a novel contribution to the field.
      Citation: Library Hi Tech
      PubDate: 2022-01-21
      DOI: 10.1108/LHT-06-2021-0198
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • The effects of visual formats on Facebook health-related posts: evidence
           from eye movement analysis

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      Authors: JungWon Yoon , Sue Yeon Syn
      Abstract: This study aimed to provide user-centered evidence for health professionals to make optimal use of images for the effective dissemination of health information on Facebook (FB). Using an eye-tracking experiment and a survey method, this study examined 42 participants' reading patterns as well as recall and recognition outcomes with 36 FB health information posts having various FB post features. The findings demonstrated that FB posts with text-embedded images received more attention and resulted in the highest recall and recognition. Meanwhile, compared to text-embedded images, visual only images yielded less effective recall of information, but they caught the viewers' attention; graphics tended to attract more attention than photos. For effective communication, the text features in FB posts should align with the formats of the images. The findings of this study provide practical implications for health information disseminators by suggesting that text-embedded images should be used for effective health communication. This study provided evidence of users' different viewing patterns for FB health information posts and the relationship between FB post types and recall and recognition outcomes.
      Citation: Library Hi Tech
      PubDate: 2022-01-17
      DOI: 10.1108/LHT-10-2021-0360
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Mapping the quantity, quality and structural indicators of Asian (48
           countries and 3 territories) research productivity on cloud computing

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      Authors: Waqar Ahmad Awan , Akhtar Abbas
      Abstract: The purpose of this study was to map the quantity (frequency), quality (impact) and structural indicators (correlations) of research produced on cloud computing in 48 countries and 3 territories in the Asia continent. To achieve the objectives of the study and scientifically map the indicators, data were extracted from the Scopus database. The extracted bibliographic data was first cleaned properly using Endnote and then analyzed using Biblioshiny and VosViewer application software. In the software, calculations include citations count; h, g and m indexes; Bradford's and Lotka's laws; and other scientific mappings. Results of the study indicate that China remained the most productive, impactful and collaborative country in Asia. All the top 20 impactful authors were also from China. The other most researched areas associated with cloud computing were revealed to be mobile cloud computing and data security in clouds. The most prominent journal currently publishing research studies on cloud computing was “Advances in Intelligent Systems and Computing.” The study is the first of its kind which identified the quantity (frequencies), quality (impact) and structural indicators (correlations) of Asian (48 countries and 3 territories) research productivity on cloud computing. The results are of great importance for researchers and countries interested in further exploring, publishing and increasing cross country collaborations related to the phenomenon of cloud computing.
      Citation: Library Hi Tech
      PubDate: 2022-01-12
      DOI: 10.1108/LHT-07-2021-0233
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2022)
       
  • Guest editorial: Technological advancement and pioneering methods for
           smart cities – recent advances and future trends

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      Authors: Victor Chang , Mohamed Abdel-Basset
      Abstract: Guest editorial: Technological advancement and pioneering methods for smart cities – recent advances and future trends
      Citation: Library Hi Tech
      PubDate: 2022-11-22
      DOI: 10.1108/LHT-10-2022-512
      Issue No: Vol. 40 , No. 5 (2022)
       
  • Editorial: Special selection on contemporary digital culture and reading

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      Authors: Dickson K.W. Chiu , Kevin K.W. Ho
      Abstract: Editorial: Special selection on contemporary digital culture and reading
      Citation: Library Hi Tech
      PubDate: 2022-11-22
      DOI: 10.1108/LHT-10-2022-516
      Issue No: Vol. 40 , No. 5 (2022)
       
  • Book review: Conversations with leading academic and research library
           directors: international perspectives on library management

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      Authors: Perry Pangelinan
      Abstract: Book review: Conversations with leading academic and research library directors: international perspectives on library management
      Citation: Library Hi Tech
      PubDate: 2022-11-22
      DOI: 10.1108/LHT-10-2022-513
      Issue No: Vol. 40 , No. 5 (2022)
       
  • Quantifying global digital journalism research: a bibliometric
           landscape

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      Authors: Sumit Kumar Banshal , Manoj Kumar Verma , Mayank Yuvaraj
      Abstract: The purpose of this paper is to present a comprehensive analysis of the current status and development of the digital journalism field from 1987 to 2021 using the Dimensions database. Using the Dimensions.ai database, 1734 articles were identified through search strategies which were published from 1987 to 2021. The downloaded results were analysed using specific parameters with the help of bibliometric and science mapping tools: Biblioshiny, VOSviewer and CiteSpace. The key contributions of the present comprehensive bibliometric study of the digital journalism field can be seen in terms of the following aspects: (1) Publication analysis from the perspectives of publication growth, key journals, contributing authors, institutions and countries done through Biblioshiny package. (2) Citation network analysis from the perspective of co-citation structure of papers, authors, countries and institutions done through VOSviewer. (3) Timeline analysis and keywords burst detection to identify hotspots and research trends in digital journalism with the help of CiteSpace. The first paper with the keyword digital journalism was published in the year 1989. From 2011 onwards, there has been growth in digital journalism literature. The most popular journal in digital journalism studies is Digital Journalism, Journalism, Journalism Practice, Journalism Studies. Lewis, S.C. has contributed the most number of papers in digital journalism. Further, authors from the countries the USA, Spain, Brazil and UK have contributed immensely. The citation network of authors, institutions and countries contributing to digital journalism studies has also been explored in the study. Through burst analysis, hot topics in digital journalism were identified. The paper provides a complete overview of the growth of digital journalism literature published from 1987 to 2021. The originality of this work lies in the triangulation of Biblioshiny, VOSviewer and CiteSpace software to present various aspects of bibliometric study. Findings of the study can help the researchers to identify areas as well as journals, authors, institutions working actively in the field of digital journalism.
      Citation: Library Hi Tech
      PubDate: 2022-07-04
      DOI: 10.1108/LHT-01-2022-0083
      Issue No: Vol. 40 , No. 5 (2022)
       
  • Library Hi Tech

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