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Library Hi Tech
Journal Prestige (SJR): 0.427
Citation Impact (citeScore): 1
Number of Followers: 1621  
 
Hybrid Journal Hybrid journal   * Containing 3 Open Access Open Access article(s) in this issue *
ISSN (Print) 0737-8831
Published by Emerald Homepage  [361 journals]
  • Changes in habits of electronic news usage on mobile devices in university
           students: a comparative survey

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      Authors: Hoi Yin Yu, Yan Yung Tsoi, Anthony Hae Ryong Rhim, Dickson K.W. Chiu, Mavis Man-Wai Lung
      Abstract: A rising trend has been observed to minimize extraneous cognitive load when reading by enhancing secondary knowledge through technology. For the readers to comprehend information more efficiently in their cognitive architecture, instructional procedures, which are secondary knowledge, should be aligned with the modern technology environment. With continual, rapid technological advances in modern society, people have changed their news reading habits after using mobile devices such as smartphones, tablets and e-readers. This research employed a quantitative survey to compare the changes in the news reading habits of the undergraduate (UG) and postgraduate (PG) students in the Library and Information Management program of a university in Hong Kong after using mobile devices to read electronic news. A total of 102 responses were collected, which comprised 51 UGs and 51 PGs, respectively (the student population for the program was around 100 UGs and 100 PGs). Survey results showed that mobile devices had changed the respondents’ habit of reading news to read more content on phones, with a variation on news categories. Such changes included the duration and location of news discussion among the respondents that shorter periods were used to read and that more people read while traveling and in restaurants. Notably, reading the news helped respondents in their learning. Most respondents preferred to read electronic news by using mobile devices. The convenience of reading and discussing news may also cause a potential threat that intensifies disputes, arguments or even bullying on controversial issues. This study confirmed that the usage of the mobile devices changed the respondents’ habit of reading news. This user group constitutes the future generation of information specialists in various disciplines. This study fills the research gap of finding students’ reading habits when using mobile devices, especially in East Asia. Educators are encouraged to recommend relevant news content to students to improve their general knowledge base and arouse their interest in reading and discussing related news topics.
      Citation: Library Hi Tech
      PubDate: 2021-07-01
      DOI: 10.1108/LHT-03-2021-0085
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • A deep neural network based context-aware smart epidemic surveillance in
           smart cities

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      Authors: Harsuminder Kaur Gill, Vivek Kumar Sehgal, Anil Kumar Verma
      Abstract: Epidemics not only affect the public health but also are a threat to a nation's growth and economy as well. Early prediction of epidemic can be beneficial to take preventive measures and to reduce the impact of epidemic in an area. A deep neural network (DNN) based context aware smart epidemic system has been proposed to prevent and monitor epidemic spread in a geographical area. Various neural networks (NNs) have been used: LSTM, RNN, BPNN to detect the level of disease, direction of spread of disease in a geographical area and marking the high-risk areas. Multiple DNNs collect and process various data points and these DNNs are decided based on type of data points. Output of one DNN is used by another DNN to reach to final prediction. The experimental evaluation of the proposed framework achieved the accuracy of 87% for the synthetic dataset generated for Zika epidemic in Brazil in 2016. The proposed framework is designed in a way that every data point is carefully processed and contributes to the final decision. These multiple DNNs will act as a single DNN for the end user.
      Citation: Library Hi Tech
      PubDate: 2021-06-30
      DOI: 10.1108/LHT-02-2021-0063
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Data replication techniques in the Internet of Things: a systematic
           literature review

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      Authors: Xianke Sun, Gaoliang Wang, Liuyang Xu, Honglei Yuan
      Abstract: In data grids, replication has been regarded as a crucial optimization strategy. Computing tasks are performed on IoT gateways at the cloud edges to obtain a prompt response. So, investigating the data replication mechanisms in the IoT is necessary. Henceforth, a systematic survey of data replication strategies in IoT techniques is presented in this paper, and some suggestions are offered for the upcoming works. In two key classifications, various parameters dependent on the analysis of the prevalent approaches are considered. The pros and cons associated with chosen strategies have been explored, and the essential problems of them have been presented to boost the future of more effective data replication strategies. We have also discovered gaps in papers and provided solutions for them. Progress in Information Technology (IT) growth has brought the Internet of Things (IoT) into life to take a vital role in our everyday lifestyles. Big IoT-generated data brings tremendous data processing challenges. One of the most challenging problems is data replication to improve fault-tolerance, reliability, and accessibility. In this way, if the primary data source fails, a replica can be swapped in immediately. There is a significant influence on the IoT created by data replication techniques, but no extensive and systematic research exists in this area. There is still no systematic and full way to address the relevant methods and evaluate them. Hence, in the present investigation, a literature review is indicated on the IoT-based data replication from papers published until 2021. Based on the given guidelines, chosen papers are reviewed. After establishing exclusion and inclusion criteria, an independent systematic search in Google Scholar, ACM, Scopus, Eric, Science Direct, Springer link, Emerald, Global ProQuest, and IEEE for relevant studies has been performed, and 21(6 paper analyzed in section 1 and 15 paper analyzed in section 3) papers have been analyzed. The results showed that data replication mechanisms in the IoT algorithms outperform other algorithms regarding impressive network utilization, job implementation time, hit ratio, total replication number, and the portion of utilized storage in percentage. Although a few ideas have been suggested that fix different facets of IoT data management, we predict that there is still space for development and more study. Thus, in order to design innovative and more effective methods for future IoT-based structures, we explored open research directions in the domain of efficient data processing. The present investigation encountered some drawbacks. First of all, only certain papers published in English were included. It is evident that some papers exist on data replication processes in the IoT written in other languages, but they were not included in our research. Next, the current report has only analyzed the mined based on data replication processes and IoT keyword discovery. The methods for data replication in the IoT would not be printed with keywords specified. In this review, the papers presented in national conferences and journals are neglected. In order to achieve the highest ability, this analysis contains papers from major global academic journals. To appreciate the significance and accuracy of the data often produced by different entities, the article illustrates that data provenance is essential. The results contribute to providing strong suggestions for future IoT studies. To be able to view the data, administrators have to modify novel abilities. The current analysis will deal with the speed of publications and suggest the findings of research and experience as a future path for IoT data replication decision-makers. In general, the rise in the knowledge degree of scientists, academics, and managers will enhance administrators' positive and consciously behavioral actions in handling IoT environments. We anticipate that the consequences of the present report could lead investigators to produce more efficient data replication methods in IoT regarding the data type and data volume. This report provides a detailed literature review on data replication strategies relying on IoT. The lack of such papers increases the importance of this paper. Utilizing the responses to the study queries, data replication's primary purpose, current problems, study concepts, and processes in IoT are summarized exclusively. This approach will allow investigators to establish a more reliable IoT technique for data replication in the future. To the best of our understanding, our research is the first to provide a thorough overview and evaluation of the current solutions by categorizing them into static/dynamic replication and distributed replication subcategories. By outlining possible future study paths, we conclude the article.
      Citation: Library Hi Tech
      PubDate: 2021-06-28
      DOI: 10.1108/LHT-01-2021-0044
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Users’ health information sharing intention in strong ties social media:
           context of emerging markets

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      Authors: Min Zhang, Wen Lin, Zhen Ma, Jun Yang, Yan Zhang
      Abstract: This paper aims to theorize and examine how central cognition elaboration cue and peripheral cognition elaboration cue influence users’ health information sharing intention in Strong ties social media (STSM) in emerging markets. This paper innovatively proposes two concepts of health information emotion and health information sharing value based on the in-depth observation of users’ social health behavior. We integrate Elaboration Likelihood Model, Media Richness Theory, Trust Theory and Regulatory Focus Theory to develop hypotheses and research models and lay emphasis on the study of health information emotion’s moderating effect. This paper conducts an empirical study by selecting 372 health information users of WeChat, a typical STSM, to verify the research model by structural equation model. For the central route, individual motivation and health information richness positively influence health information sharing value. For peripheral route, health information source trust and health information recipient trust both positively influence the health information sharing attitude. Health information sharing value and sharing attitude can positively affect users’ health information sharing intention. In addition, health information positive emotion has significant moderating effect, while health information negative emotion does not have. This study contributes to a comprehensive perspective for understanding users’ health information sharing intention in STSM in emerging markets, an important but understudied topic. The results can also give implications for researchers to explore users’ behavioral intention from the perspective of process-oriented persuasion and health information emotion’s moderating effect.
      Citation: Library Hi Tech
      PubDate: 2021-06-25
      DOI: 10.1108/LHT-02-2020-0024
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Augmented reality technology in the libraries of universities of medical
           sciences: identifying the application, advantages and challenges and
           presenting a model

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      Authors: Malihe Dalili Saleh, Maryam Salami, Faramarz Soheili, Soraya Ziaei
      Abstract: This study aimed to present a model for the use of augmented reality (AR) in the libraries of universities of medical sciences. The goal was to introduce the applications, advantages, opportunities and challenges of AR. This study adopted a qualitative approach, had an applied goal and was based on data theory. The statistical population comprised 20 experts in the field of AR, and the data were collected based on in-depth semi-structured interviews until achieving theoretical saturation. A model was proposed after open coding and the formation of the main categories, and the use of AR in the development of libraries of medical universities was discussed. The category of application consisted of strengthening education, promoting users' information literacy, finding resources, user guidance, gamification, educational justice, helping management, enriching resources, providing new services and economic savings. The advantages were library services, sociocultural excellence, educational level, software potential and helping the librarian. The challenges were technical, economic and cultural barriers. Libraries can attract many users by enacting effective policies, using technology and enriching the content of resources. AR can greatly assist library management and improve the librarians' and users' professional activities. The limitation of this study was that some experts could not participate in the interviews. The results of this study are beneficial for managers, librarians, students and researchers. The use of AR in libraries is essential for achieving fourth-generation libraries. AR will be a necessity for the libraries of medical universities.
      Citation: Library Hi Tech
      PubDate: 2021-06-22
      DOI: 10.1108/LHT-01-2021-0033
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • An analysis of university students' health information service needs from
           academic library in the post-COVID-19 age through Kano model

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      Authors: Yuan Meng, Li Dong, Rui Guan, Yan Zhang
      Abstract: The study aims to find out the university students' health information service needs in post-COVID-19 age and then consider how to do the health information services well and promote it in further work. This study uses Kano model to design a questionnaire about university students' health information service needs from academic library and investigates 243 students from seven universities in China. The data generated were analyzed using a statistical tool and presented in tables. The results show the students' different requirements level of health information services from academic library as must-be requirements, one-dimensional requirements, attractive quality attributes and indifferent quality in post-COVID-19 age. The questionnaire design and the scale of respondents have limitation, such as only focus on Chinese university, have not characteristically research on different group of students. It could optimize to cover more worldwide university students and refer to different groups of students' needs in further research. The paper expands and deepens the theory about university library health information service and provides a practical reference and proposes some suggestions for academic libraries on how to carry out health information services and give the social health institutions inspiration on how to promote the health services, especially in post-COVID-19 age.
      Citation: Library Hi Tech
      PubDate: 2021-06-21
      DOI: 10.1108/LHT-01-2021-0035
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Topic analysis of academic disciplines based on prolific and authoritative
           researchers

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      Authors: Chao Yang, Cui Huang, Jun Su, Shutao Wang
      Abstract: The paper aims to explore whether topic analysis (identification of the core contents, trends and topic distribution in the target field) can be performed using a more low-cost and easily applicable method that relies on a small dataset, and how we can obtain this small dataset based on the features of the publications. The paper proposes a topic analysis method based on prolific and authoritative researchers (PARs). First, the authors identify PARs in a specific discipline by considering the number of publications and citations of authors. Based on the research publications of PARs (small dataset), the authors then construct a keyword co-occurrence network and perform a topic analysis. Finally, the authors compare the method with the traditional method. The authors found that using a small dataset (only 6.47% of the complete dataset in our experiment) for topic analysis yields relatively high-quality and reliable results. The comparison analysis reveals that the proposed method is quite similar to the results of traditional large dataset analysis in terms of publication time distribution, research areas, core keywords and keyword network density. Expert opinions are needed in determining the parameters of PARs identification algorithm. The proposed method may neglect the publications of junior researchers and its biases should be discussed. This paper gives a practical way on how to implement disciplinary analysis based on a small dataset, and how to identify this dataset by proposing a PARs-based topic analysis method. The proposed method presents a useful view of the data based on PARs that can produce results comparable to traditional method, and thus will improve the effectiveness and cost of interdisciplinary topic analysis. This paper proposes a PARs-based topic analysis method and verifies that topic analysis can be performed using a small dataset.
      Citation: Library Hi Tech
      PubDate: 2021-06-15
      DOI: 10.1108/LHT-04-2020-0102
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Toward the e-loyalty of digital library users: investigating the role of
           e-service quality and e-trust in digital economy

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      Authors: Muhammad Khalid Anser, Mosab I. Tabash, Abdelmohsen A. Nassani, Abdullah Mohammed Aldakhil, Zahid Yousaf
      Abstract: This study aims to investigate the role of e-service quality and e-trust for achieving e-loyalty among digital library users in the digital economy. The current study examined the mediation effect of e-trust in the connection between e-service quality and e-loyalty. Cross-sectional design was applied for the purpose of data collection and empirical findings of the study. Survey method was used for the purpose of data collection from 783 online digital libraries users. Results reveal that e-service quality positively predicts e-trust in digital economy. Moreover, in digital economy e-trust predicts the e-loyalty. The findings also reveal that e-trust mediates the relationship between e-service quality and e-loyalty links. The finding of study suggested that individual level e-trust have a strong effect on e-loyalty in digital economy. Individual level aspects in term of e-service quality have a direct effect on e-trust to improve their e-loyalty. The finding indicated that digital libraries users in future will be more loyal toward e-service quality providers. The results are useful for the management of digital libraries and academia for future. This is the first study that includes e-service quality, e-trust and e-loyalty in the context of digital economy.
      Citation: Library Hi Tech
      PubDate: 2021-06-15
      DOI: 10.1108/LHT-07-2020-0165
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • The role of digital scholarship in academic libraries, the case of
           university of cape coast: opportunities and challenges

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      Authors: Theophilus Kwamena Ocran, Paulina Afful-Arthur
      Abstract: The purpose of the study is to assess the role of academic libraries in digital scholarship at the University of Cape Coast. The study adopted the descriptive survey design and used teaching staff (lecturers) as the population of the study. A sample size of 278 was used for the study. The study used questionnaires to obtain data from participants. The study revealed that faculty members appreciate digital scholarship through the services offered by Sam Jonah Library are relevant to the current higher education context, reliable information, preservation of information resources and facilitating the integration of library services into the learning process are closely integrated into the library service, transform scholarly communication, teaching and learning style and research paradigm. The study revealed that digital scholarship contributes to faculty members' delivery at the University of Cape Coast through the provision of information literacy training for new students, provision of reference lists of materials available in the library and provision of lists of new materials. The study revealed that faculty members face inadequate facilities to enhance digital scholarship, inadequate open access to reading materials (articles, books, etc.), inadequate platforms or suite of tools for librarians to take faculty. The application of digital scholarship provides an expansion to the core competitiveness of librarians new services which enables innovativeness and transformation of libraries. Students will be equipped with digital literacy skills; it affords instructors to approach teaching with innovation and scholars are also engaged to perform novel practices in scholarship acquisition. Digital scholarship is the umbrella under which all academic technologies comes under to foster collaboration and better learning experience. This paper offers an insight of the role digital scholarship in promoting and advancing scholarship in the academic environment. It highlights a number of digital scholarship platform available in the library. It is observed that digital scholarship practices must be encouraged in the library because it facilitates the role of academic library which is to support teaching, learning and research.
      Citation: Library Hi Tech
      PubDate: 2021-06-07
      DOI: 10.1108/LHT-09-2020-0238
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Toward the dialectical evaluation of online information: the roles of
           personality, self-efficacy and attitude

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      Authors: Hamid Keshavarz, Amir Vafaeian, Ali Shabani
      Abstract: User behavior in online information evaluation is the result of a multitude of factors related to social, cultural, personal and psychological issues. The present study aimed to examine the effects of three important psychological variables including personality, self-efficacy and attitude on online information evaluation. Four validated measures were administrated in person and online among 355 postgraduate students at Shahed University, Tehran, Iran. For testing the possible relationships among the variables, the reliability, normality and Pearson correlation tests were performed by using SPSS 24.0. Moreover, to test the ten hypotheses of the research, the structural equation modeling was considered using AMOS 26.0. The findings confirmed the first five research hypotheses indicating the direct positive relationships among the four variables except for the impact of self-efficacy on attitude. The mediated effects of the variables were not supported except for the mediating role of attitude in the impact of personality on online evaluation behavior. The variable personality was found to be fundamental among the tested paths because it influenced the information evaluation behavior, both directly and indirectly. The study showed the impacts of the three variables, which demonstrates that online information evaluation is greatly affected by psychological factors.
      Citation: Library Hi Tech
      PubDate: 2021-06-07
      DOI: 10.1108/LHT-12-2020-0315
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Citation context-based topic models: discovering cited and citing topics
           from full text

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      Authors: Lixue Zou, Xiwen Liu, Wray Buntine, Yanli Liu
      Abstract: Full text of a document is a rich source of information that can be used to provide meaningful topics. The purpose of this paper is to demonstrate how to use citation context (CC) in the full text to identify the cited topics and citing topics efficiently and effectively by employing automatic text analysis algorithms. The authors present two novel topic models, Citation-Context-LDA (CC-LDA) and Citation-Context-Reference-LDA (CCRef-LDA). CC is leveraged to extract the citing text from the full text, which makes it possible to discover topics with accuracy. CC-LDA incorporates CC, citing text, and their latent relationship, while CCRef-LDA incorporates CC, citing text, their latent relationship and reference information in CC. Collapsed Gibbs sampling is used to achieve an approximate estimation. The capacity of CC-LDA to simultaneously learn cited topics and citing topics together with their links is investigated. Moreover, a topic influence measure method based on CC-LDA is proposed and applied to create links between the two-level topics. In addition, the capacity of CCRef-LDA to discover topic influential references is also investigated. The results indicate CC-LDA and CCRef-LDA achieve improved or comparable performance in terms of both perplexity and symmetric Kullback–Leibler (sKL) divergence. Moreover, CC-LDA is effective in discovering the cited topics and citing topics with topic influence, and CCRef-LDA is able to find the cited topic influential references. The automatic method provides novel knowledge for cited topics and citing topics discovery. Topic influence learnt by our model can link two-level topics and create a semantic topic network. The method can also use topic specificity as a feature to rank references.
      Citation: Library Hi Tech
      PubDate: 2021-06-04
      DOI: 10.1108/LHT-01-2021-0041
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Social media communication of the scientific and technological literature
           in emergency under COVID-19

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      Authors: Jiapei Li, Liming Sun, Xin Feng, Peiyi He, Yue Zhang
      Abstract: This paper takes the current COVID-19 pandemic raging around the world as a realistic background and uses the informal scientific communication mode in social media as the theoretical basis. It aims to explore the characteristics and rules of scientific communication in social media under emergency events, grasp the potential and risks of scientific communication in social media in special times and provide a perspective of academic communication for the scientific response. The authors select the enumeration data of the early COVID-19 theme papers spread on social media networks as the research object, apply descriptive statistical analysis to the basic statistical distribution of variables and use factor analysis and visualization methods to explore the law and characteristics of the spread of scientific papers on social media platforms. It was found that users of the COVID-19 paper are mainly in North America, Europe and South America, followed by those in East Asia, Southeast Asia and Oceania. The users are mainly public figures, doctors and other practitioners, science communicators and scientists. The process of social media communication reflects three ways of knowledge construction, social interaction and academic communication, and there are three ways of communication law and changing trend of cross transition and integration. This study observes the function and role of science communication in social media in a special period from a unique perspective of academic communication, so as to promote academic means to fight against the epidemic.
      Citation: Library Hi Tech
      PubDate: 2021-06-04
      DOI: 10.1108/LHT-10-2020-0268
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • The effects of gratifications, flow and satisfaction on the usage of
           livestreaming services

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      Authors: Chin Lung Hsu, Judy Chuan-Chuan Lin
      Abstract: This study combines uses and gratifications theory and flow theory to create an integrated model that predicts continuance intention to use and satisfaction with livestreaming services. The proposed model was empirically evaluated using survey data collected from 304 users about their perceptions of livestream services. The results indicate that gratifications such as entertainment, informativeness and sociability were all positively related to satisfaction. The authors find that flow mediates the impact of interactivity and telepresence on satisfaction. Notably, sociability gratification and satisfaction had a significant impact on a user's intention to continue to use livestreaming services and accounted for 77% of the variance. The study adds to the body of knowledge by demonstrating the uses and gratifications theory and flow theory in live stream services. In addition, the findings may provide useful insights for live stream services streamers and marketers.
      Citation: Library Hi Tech
      PubDate: 2021-06-01
      DOI: 10.1108/LHT-02-2021-0069
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Social network analysis of mythology field

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      Authors: Sümeyye Akça, Müge Akbulut
      Abstract: The main purpose of the study is to detect, monitor the mythology field and make predictions of the development of it using social network analysis metrics. Mythology, which is the subject of many disciplines, is an area with extensive working potential. In addition to basic bibliometric indicators, the relationships of this field, which cannot be seen by other methods, were analyzed using measures such as centrality, between, eigenvector, modularity and silhouette coefficients. In this study, social network analysis of the field of mythology, which has an interdisciplinary structure, was made. Within the scope of the study, 28,370 publications were selected from the publications in the field of mythology in the Web of Science (WoS) citation database between 1900 and 2019 using the probability-based stratified sampling method (5%), and detailed analyzes were made on these publications. The aforementioned publications were analyzed in terms of publication and citation numbers, publication types, subject categories, keywords used, co-authorship, researchers with the highest number of publications, institutions and countries with the highest number of document co-citations. The findings show that the field of mythology gathers around four main subjects (sociology, folklore, politics and anthropology). When interpreted in terms of centrality metrics in more detail, the symbiotic or complementary relationship between anthropology, folklore, politics, sociology and mythology can be easily observed. The findings of this study are seen important for scientists, decision-makers and policymakers. In addition, the findings of the study can be used to create the curriculum of the field.
      Citation: Library Hi Tech
      PubDate: 2021-05-28
      DOI: 10.1108/LHT-01-2021-0040
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Relationship between altmetric and bibliometric indicators across academic
           social sites in article-level: the case of Iranian researchers' “Top
           Papers” in clinical medicine

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      Authors: Zahra Batooli, Azam Mohamadloo, Somayyeh Nadi-Ravandi
      Abstract: The study aimed to measure scientific and social impacts of Iranian researchers' “Top Papers” in clinical medicine using citation and altmetric indicators. In this applied descriptive-analytical study, it used scientometric analysis. A total of 166 “Top Papers” of Iranian researchers in clinical medicine category of Web of Science (WoS) database including “Highly Cited Papers” and “Hot Papers” published between 2009 and 2019 were used. Overall, 29 indicators and their data were extracted from WoS, Scopus, ResearchGate (RG) and PlumX in March 2020. The results showed that there exists a positive correlation between the number of citations in WoS, Scopus, RG, PubMed and Crossref. In addition, it was found that there existed a positive correlation between the received citations by articles and altmetric indicators. According to the results, there is a strong correlation between RG Research Interest and citation impact. The correlation analysis on the Plum Analytics categories including “Usage”, “Capture”, “Mention”, “Social Media” and “Citation” showed the correlations between five dimensions of impact were positive and significant. The results have led the authors to think more about new metrics that can response to new developments in the new information areas. There are limitations to access altmetric.com in Iran and cannot be used easily. On the other hand, because of considering 24 indicators, authors had to investigate only a sample of 166 top papers from Iranian researchers to present the detailed results. About nature of altmetric indicators, although they reflect the nonacademic impact of articles alongside bibliographic indicators, they still cannot be a complete representative of the influence of their owners. This study can indicate a practical application appropriate for the future study. It would be valuable to further examine how social academic platforms construct images of impact of research and how this impacts the social impact of the university as a mission. This study suggests that social media attention to academic research can be much greater than what is shown in traditional indicators such as citation. This study examines 29 indicators from four platforms including RG, WoS, Scopus and PlumX, simultaneously and measures the relationship among them.
      Citation: Library Hi Tech
      PubDate: 2021-05-24
      DOI: 10.1108/LHT-12-2020-0319
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Analysis of YouTube video contents on Koha and DSpace, and sentiment
           analysis of viewers' comments

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      Authors: Maya Deori, Vinit Kumar, Manoj Kumar Verma
      Abstract: The purpose of the study is to evaluate certain characteristics of the videos of the software Koha and DSpace posted on YouTube. Since YouTube has the potential to provide the content creator to share their knowledge and experience through their content which has become much more beneficial to the information seeker. Nowadays, people search for queries or tutorial videos on YouTube very often to earn a better understanding of the term. Sentiment analysis of the viewers' opinion of the videos is another purpose of this study. Dataset for evaluating the characteristic of the videos of Koha and DSpace was extracted by using Webometric Analyst by creating YouTube API. Once retrieval of data was completed, a manual verification was enhanced to filter out spam videos unrelated to the scope. After the confirmation of authentic relatable videos, seeking the video's id as query, the comments per video were extracted using Webometric Analyst. For opinion mining, the Parallel Dots API web service was used in Google Sheets as an addon function. The sentiment, multilingual sentiment, emotion, intention and word frequency of the viewers' opinion was examined with the help of certain default functionalities. Webometric Analyst extracted a total of 461 and 397 videos of Koha and DSpace, respectively, uploaded on the YouTube platform. The findings of the study indicate that the growth rate of videos on Koha is decreasing, while the number of videos uploaded on DSpace is gradually increased in the last 10 years. The highest number of videos posted in 1–20 min duration category with mostly high definition (HD) with standard YouTube license and prominently in the English language. The sentiment analysis of the total extracted comments on Koha and DSpace videos found to be 2043 and 862 comments, respectively, among whom “Positive” comments are mostly found and with “Happy” emotion can be highly detected with most supportive “Feedback” intention on both Koha and DSpace videos. The top word frequency signifies that the users of both the software are using the comments section of the videos on YouTube to ask and provide troubleshooting help to each other. The present study has some limitations too; the dataset for the study includes only those videos whose title, description or keywords sections had the query terms “Koha” or “DSpace” there are chances that some videos would have been left out from the dataset related to these software. This is the first paper to evaluate the characteristics and sentiment of both the videos Koha and DSpace. Through this, the popularity, likeness and dislike and the impact of the contents of the videos uploaded will be disclosed, and creators can make an improvement by referring this, and the seekers will adapt to the use of correct and authentic information.
      Citation: Library Hi Tech
      PubDate: 2021-05-17
      DOI: 10.1108/LHT-12-2020-0323
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Advancing open government data portals: a comparative usability evaluation
           study

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      Authors: Di Wang, Deborah Richards, Ayse Aysin Bilgin, Chuanfu Chen
      Abstract: To address the key problem of lack of use in the advancement of open government data (OGD) portals from the aspect of good usability, which is an essential prerequisite to the acceptance and usage of a portal, this paper aims to develop a usability framework including design principles and criteria for OGD portals and to discover problems in the present usability design. This study builds the usability framework by extending usability principles for general websites to address the specific needs of OGD portals. Criteria for each principle are developed accordingly based on the literature. A comparative heuristic evaluation involving five expert evaluators and 13 Chinese province-level OGD portals has been carried out to test the capability of the usability framework. A usability framework with 24 principles and 63 criteria has been built. The heuristic evaluation shows OGD portals performed better in meeting general principles than the OGD portals specific ones. Insufficient help functions weakened OGD portals' usability. Similarities and differences were found of Chinese OGD portals compared with similar studies in the United States. This paper proposed a usability framework for OGD portals and proved its capability in recognizing usability problems and its causes by carrying out a comparative heuristic evaluation in China. By comparing the evaluation results with other studies in the United States, the findings and lessons learnt in this study can thus be shared across international borders.
      Citation: Library Hi Tech
      PubDate: 2021-05-11
      DOI: 10.1108/LHT-10-2020-0250
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • The applicability of blockchain technology in healthcare contexts to
           contain COVID-19 challenges

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      Authors: Mohammad Raihanul Hasan, Shiming Deng, Neegar Sultana, Muhammed Zakir Hossain
      Abstract: Blockchain technology, a key feature of the fourth industrial revolution, is receiving widespread attention and exploration around the world. Taking the coronavirus pandemic as an example, the purpose of this study to examine the application of blockchain technology from the perspective of epidemic prevention and control. Exploring multiple case studies in the Chinese context at various stages of deployment, this study documents a framework about how some of the major challenges associated with COVID-19 can be alleviated by leveraging blockchain technology. The case studies and framework presented herein show that utilization of blockchain acts as an enabler to facilitate the containment of several COVID-19 challenges. These challenges include the following: complications associated with medical data sharing; breaches of patients' data privacy; absence of real-time monitoring tools; counterfeit medical products and non-credible suppliers; fallacious insurance claims; overly long insurance claim processes; misappropriations of funds; and misinformation, rumors and fake news. Blockchain is ushering in a new era of innovation that will lay the foundation for a new paradigm in health care. As there are currently insufficient studies pertaining to real-life case studies of blockchain and COVID-19 interaction, this study adds to the literature on the role of blockchain technology in epidemic control and prevention.
      Citation: Library Hi Tech
      PubDate: 2021-05-05
      DOI: 10.1108/LHT-02-2021-0071
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • User churn behavior model of rural public digital cultural services: an
           empirical study in China

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      Authors: Meng Wang, Yuwen Hua, Honglei Lia Sun, Ya Chen, Linping Jiang
      Abstract: This study aims to reveal the influencing factors of user churn behavior and explore how these factors influence user churn behavior of rural public digital cultural services (RPDCS), and then, to provide the avoidance strategies for user churn behavior of RPDCS. Combined with the stimulus–organism–response theory and cognitive load theory, this study constructed a mixed model of user churn behavior. Data collected through online and offline questionnaire survey were tested using the partial least squares structural equation modeling approach, and finally, the authors proposed a user churn behavior model of RPDCS. The results indicate that the environmental stimulus factors of RPDCS affected user churn behavior via user organism factors. This study suggests that administrators should pay more attention to the information demand of users and strengthen the effective supply of RPDCS. Meanwhile, it is necessary to improve the information literacy of rural users to restrain the user churn behavior and improve the effectiveness of RPDCS. The research findings on the influencing factors of user churn behavior shed light on the user churn behavior in public digital cultural services, add new knowledge to the construction of the public cultural services system and provide empirical evidence for how to improve the utilization and effectiveness of RPDCS.
      Citation: Library Hi Tech
      PubDate: 2021-05-05
      DOI: 10.1108/LHT-09-2020-0243
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • On fluctuating characteristics of global COVID-19 cases and identification
           of inflection points

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      Authors: Xin Feng, Hanshui Zhang, Yue Zhang, Liming Sun, Jiapei Li, Ye Wu
      Abstract: The emergence of a coronavirus disease 2019 (COVID-19) epidemic has had a tremendous impact on the world, and the characteristics of its evolution need to be better understood. To explore the changes of cases and control them effectively, this paper analyzes and models the fluctuation and dynamic characteristics of the daily growth rate based on the data of newly confirmed cases around the world. Based on the data, the authors identify the inflection points and analyze the causes of the new daily confirmed cases and deaths worldwide. The study found that the growth sequence of the number of new confirmed COVID-19 cases per day has a significant cluster of fluctuations. The impact of previous fluctuations in the future is gradually attenuated and shows a relatively gentle long-term downward trend. There are four inflection points in the global time series of new confirmed cases and the number of deaths per day. And these inflection points show the state of an accelerated rise, a slowdown in the rate of decline, a slowdown in the rate of growth and an accelerated decline in turn. This paper has a certain guiding and innovative significance for the dynamic research of COVID-19 cases in the world.
      Citation: Library Hi Tech
      PubDate: 2021-05-04
      DOI: 10.1108/LHT-10-2020-0263
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Why low-income people have difficulty accessing to obtain public cultural
           services' Evidence from an empirical study on representative small and
           medium-sized cities

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      Authors: Dengdeng Wanyan, Zijian Wang
      Abstract: This article aims to provide reference for government departments and public cultural institutions in strengthening the provision of public cultural services for low-income groups, improving services methods and fostering their cultural awareness and cultural rights. Evidence from an empirical study on representative small and medium-sized cities. This paper defines the specific aspects of the difficulties faced by urban low-income people in obtaining public cultural services, and it is no longer limited to analyze the causes behind these difficulties from a specific perspective. The difficulties faced by urban low-income people in obtaining public cultural services are mainly reflected in the following four aspects: external condition pressure, individual condition limitations, service supply difference and feedback mechanism failure.
      Citation: Library Hi Tech
      PubDate: 2021-04-30
      DOI: 10.1108/LHT-02-2021-0055
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Bibliometric analysis of ecopreneurship using VOSviewer and RStudio
           Bibliometrix, 1989–2019

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      Authors: Deepa Guleria, Gurvinder Kaur
      Abstract: This article offers a bibliometric analysis and explores the relationships among the documents on ecopreneurship by using relational techniques. The results highlight the publication trends; most cited documents, top contributing authors, countries and institutions with highest productivity and most contributing journals to the research field. Initially, 216 documents were retrieved from the Thompson Reuters Web of Science Core Collection database with three document types: articles, review and book review. All the documents were considered for the analysis. Then VOSviewer and bibliometric analysis using R with an inbuilt utility Biblioshiny were used together for co-word analysis, co-citation network analysis, generating collaboration networks and also generating a unique three-field plot to analyze the evolution of a research field. The results highlight the publication trends: most cited documents, top contributing authors, countries and institutions with highest productivity and most contributing journals to the research field. The network analysis of co-authorship, co-citation, keyword co-occurrence and bibliographic coupling reveals most prominent relationships between authors, documents, co-cited references, sources and countries for the available documents on the research field. The study helps not only in expansion of knowledgebase on the research topic but also in understanding the evolution of the ecopreneurship to provide research support further in this area. Ecopreneurship is an emerging field of research connecting ecology and entrepreneurship together, making it a potential research area. The contributions made to this research field from 1989 to 2019 serve as a core for conducting this analysis. The study is an effort to help in coordinating research network across countries, authors and affiliating universities.
      Citation: Library Hi Tech
      PubDate: 2021-04-30
      DOI: 10.1108/LHT-09-2020-0218
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • A conceptual framework for wisdom-based decision-making process in audit
           profession

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      Authors: Hoang To Loan Nguyen
      Abstract: Wisdom is considered as crucial in decision-making in both management and auditing practice. This research aims to investigate the concept of wisdom in auditing, thereby empirically exploring the determinants of wisdom in audit decision-making and explaining inter-relations among these determinants. This study employs grounded theory methodology that is based on in-depth interviews with twenty-seven practicing auditors who are audit partners, managers, seniors and assistants of auditing firms. Guided by the grounded theory, data collection and data analyses were conducted simultaneously to look into the new insights of the research phenomenon. The coding process was constantly compared until the research's theoretical saturation is reached after four rounds. At the end of the research process, the study conducted a survey to confirm the proposed framework as well as examine the inter-relationships between the defined determinants. Results suggest developing a conceptual framework to interpret wisdom-based decision-making process in auditing. A wise process of audit decision-making is defined as an integrated exercise of multiple determinants including knowledge assimilation, judgmental ability and ethical orientation. The research also explains and examines the potential interrelationships among these determinants in the audit decision-making process. Wisdom is a valuable tacit ability for all external auditors. The development of wise decision-making abilities of auditors should be considered an integral part of multiple virtues including knowledge and judgmental and ethical aspects. The contributions of this study are original and significant because it proposes a new approach to explain for the audit decision-making process and enhances better understandings of the concept of wisdom in auditing practices and its roles in audit decision-making.
      Citation: Library Hi Tech
      PubDate: 2021-04-29
      DOI: 10.1108/LHT-10-2020-0256
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Library collections promotion for preadolescents using social media
           marketing strategies

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      Authors: Ko-Chiu Wu, Tsung-Ying Yang
      Abstract: This study aims to explore preadolescents' opinions of the social media marketing strategies hosted by libraries to promote collections. An experimental Facebook page was created with posts containing interesting animations, games and book recommendations. A questionnaire survey was administered to 262 preadolescents between 11 and 13 years old to seek their opinions about the posts, and confirmatory factor analysis was used to measure their acceptance of the marketing strategies. The authors examined the effects of five marketing strategies: word-of-mouth marketing, buzz marketing, event marketing, viral marketing and gamification marketing. In terms of sharing, word-of-mouth marketing proved the most popular, followed by buzz marketing. Participants were least accepting of viral marketing. The authors found that gamification marketing resulted in higher engagement than did event marketing. The preadolescent participants preferred engagement marketing strategies over information sharing strategies. According to the uses and gratification theory, preadolescents seek, share and engage with information in ways that differ from other age groups. With specific reference to hedonic engagement by preadolescents, the authors built a two-fold model to describe the information-seeking behaviors of preadolescents from the perspective of marketing strategies. The study findings indicate that librarians who use Facebook to promote library collections should first employ gamification and word-of-mouth marketing to build trust with preadolescent users. Event and buzz marketing will then be more effective when applied within the context of this trust.
      Citation: Library Hi Tech
      PubDate: 2021-04-29
      DOI: 10.1108/LHT-03-2020-0073
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Willingness to accept social robots in museums: an exploratory factor
           analysis according to visitor profile

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      Authors: Laura Fuentes-Moraleda, Carmen Lafuente-Ibañez, Natalia Fernandez Alvarez, Teresa Villace-Molinero
      Abstract: The aim of this exploratory study is to identify the factors that influence the acceptance of social robots in museum environments and determine if this influence depends on the visitor's profile (age, gender, education and occupation). Data collected from an electronic questionnaire include 433 responses from Spanish visitors. The authors subjected the variables proposed by De Kervenoael et al. (2020) adapted to museums. The initial descriptive analysis only showed significant differences by age (under or over 30 years old). Based on these previous results, an exploratory factor analysis was carried out to test the applicability of the questionnaire to museums. After identifying the factors, the authors applied an ANOVA test to determine whether there are age-related differences between the factors related to robot acceptance in museums. The authors developed a multidimensional instrument for measuring willingness to accept social robots in museum contexts. Willingness is determined by three factors: museum visitor experience (which is a factor specific to museums), empathy and personal engagement (which are both usually relevant in other tourist sectors as well). The younger individuals (under 30 years old) have a higher degree of acceptance than do visitors over 30. Social robot use in museums is still very low, so the key factors for their acceptance have yet to be ascertained. The specific skills of social robots could prove to be a major draw for young people and contribute significantly to the future of museums.
      Citation: Library Hi Tech
      PubDate: 2021-04-29
      DOI: 10.1108/LHT-07-2020-0180
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • E-book or print book: parents' current view in Hong Kong

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      Authors: Yan Yu Cora Sung, Dickson K.W. Chiu
      Abstract: This study aims to examine the perception and preference of parents for their children using mobile devices to read. The pros and cons of electronic books and print books are examined from the parents' perspective. Semi-structured interviews were conducted with 11 parents in Hong Kong, who have children in primary and secondary schools. Their opinions were summarized into common themes to explore their choice of books for children in terms of format and content. The findings indicated that most parents and schools still prefer print books unless required by schools. However, the e-book has played an essential role under the current COVID-19 pandemic and digital literacy development. Scant studies focus on parents' views on their choice of book formats for children, especially for East Asian metropolises. The findings are useful for schools, teachers and publishers to explore publication and collection, as well as market development in digital reading resources.
      Citation: Library Hi Tech
      PubDate: 2021-04-29
      DOI: 10.1108/LHT-09-2020-0230
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Factors influencing the behavior of multi-modal information search

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      Authors: Zhiyi Li, Jiayu Zhu, Xiaolin Li
      Abstract: With the increasing abundance of network resources and big data, multi-modal information search (MMIS) has been paid more and more attention, but the research results of MMIS are relatively few. This paper attempts to put forward constructive suggestions for the design of multi-modal information system, so that the system can have a better user experience, help users improve the efficiency of obtaining information and optimize the information service mode. A research model of influencing factors is established by using the TAM (technology acceptance model) theory. The influencing factors of users' multi-modal information search behavior (MMISB) are analyzed by using questionnaire, experiment and the structural equation model. On the basis of this, some suggestions are put forward to build the multi-modal search (MMS) system and improve the efficiency of MMIS. The research shows that users' MMISB is directly related to their search intention, and the search intention can influence users' cognition of the usefulness and ease of MMIS through their own information search ability and system characteristics. The user's MMIS ability is affected by the demand expression ability and retrieval ability cognition; the user's cognition of system characteristics is affected by the system function and information quality. This shows that the user's MMISB is closely related to the user's cognitive situation, but due to the author's limited time and research ability, only the questionnaire survey method cannot be used to in-depth research and explore the influencing factors of MMIS. Therefore, in the future research, we should combine the interview method to further track the user's emotional factors and scene factors. For the first time, TAM theory is combined with cross-modal retrieval behavior and the paper explores the influencing factors and evaluation indexes of users' MMISB. The second, the questionnaire was compiled to investigate the influencing factors of the MMISB of the university group, and the reliability analysis, validity analysis, correlation analysis and structural equation model analysis of the survey data are carried out . The survey data and analysis results are original, which can provide a theoretical basis for improving the service level of MMIS.
      Citation: Library Hi Tech
      PubDate: 2021-04-29
      DOI: 10.1108/LHT-11-2020-0288
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Innovation in using IT: understanding the impact of knowledge absorptive
           capacity on academic librarians

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      Authors: Mojtaba Kaffashan Kakhki, Marzie Zarqi, Hadi Harati, Yaser Asemandoreh, Ehsan Namdar Joyame
      Abstract: The aim of this study is to examine the effect of organizational levers and information technology (IT) absorptive capacity on librarians' innovation. This survey-analytic study investigated the librarians who were working in the libraries of the medical sciences universities in Iran. The data were collected using a researcher-made questionnaire distributed randomly among the members of the sample. The SEM and the LISREL software for data analysis were used. It was found that the librarians' job autonomy and fairness of rewards had an effect on acquiring new knowledge and applying transformed knowledge. Although the results did not confirm the effect of the librarians' job autonomy on knowledge assimilation and transformation, they showed a direct and positive effect of fairness of rewards on knowledge assimilation and transformation. Furthermore, this study confirmed the effect of acquiring and applying new knowledge about the library IT on enhancing the librarians' innovation. The effect of knowledge assimilation and transformation, from the application of IT in libraries, on the librarians' innovation was not confirmed. Learning about the effect of organizational levers on librarians' knowledge absorptive capacities, in terms of applying technologies, to create innovation is an important issue. This will elucidate the gaps of disregarding the effect of organizational levers and librarians' knowledge absorptive capacities on librarians' innovation, and will pave the way for better planning to achieve the libraries' innovative goals. This is among the few articles that have helped to fill the existing theoretical and research gap in knowledge absorptive capacity in Library and Information Science (LIS). In addition, this article has made a valuable contribution to understanding the role of IT knowledge absorptive capacity as a mediator variable between the organizational levers and librarians' innovation.
      Citation: Library Hi Tech
      PubDate: 2021-04-12
      DOI: 10.1108/LHT-03-2020-0065
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Research output of Indian universities in sciences (2015–2019): a
           scientometric analysis

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      Authors: Avijit Mahala, Rajesh Singh
      Abstract: The present study aims to trace out the science research output of top Indian universities from 2015 to 2019, as reflected in the Web of Science (WOS) database. The present study has selected the Science Citation Index (SCI) of WOS core collection for selecting top Indian universities in terms of total publications in the last five years (2015–2019). The University of Delhi (DU), Banaras Hindu University (BHU), Anna University (AU), Jadavpur University (JU) and Punjab University (PU) have been selected. The study identified the most prolific authors, collaborating countries, collaborating institutions and the impact of their output in terms of citations per paper (CPP) and relative citation impact (RCI). For visualizing purposes, VOSviewer was used. The study also identified frequently used keywords and channels used for communicating research results. The authors retrieved 26,173 documents consisting of journal articles, review papers and proceeding papers. The consistent growth of science research output has been observed. The University of Delhi (DU) has the maximum science publications. The study reflects that multi-authored papers have more research impact in terms of citation received. The USA, South Korea and Germany are the most collaborating countries. The top Indian Universities have a major collaboration with Anna University, Indian Institute of Technology, Center for Scientific and Industrial Research (CSIR) of India. The present study reveals how the science research output of top Indian universities has grown in the last few years. The findings of the study can be used for identifying specific science research areas where special attention can be given.
      Citation: Library Hi Tech
      PubDate: 2021-04-09
      DOI: 10.1108/LHT-09-2020-0224
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Readers' engagement through digital social reading on Twitter: the
           TwLetteratura case study

         This is an Open Access Article Open Access Article

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      Authors: Federico Pianzola, Maurizio Toccu, Marco Viviani
      Abstract: The purpose of this article is to explore how participants with different motivations (educational or leisure), familiarity with the medium (newbies and active Twitter users), and participating instructions respond to a highly structured digital social reading (DSR) activity in terms of intensity of engagement and social interaction. A case study involving students and teachers of 211 Italian high school classes and 242 other Twitter users, who generated a total of 18,962 tweets commenting on a literary text, was conducted. The authors performed both a quantitative analysis focusing on the number of tweets/retweets generated by participants and a network analysis exploiting the study of interactions between them. The authors also classified the tweets with respect to their originality, by using both automated text reuse detection approaches and manual categorization, to identify quotations, paraphrases and other forms of reader response. The decoupling (both in space and time) of text read (in class) and comments (on Twitter) likely led users to mainly share text excerpts rather than original personal reactions to the story. There was almost no interaction outside the classroom, neither with other students nor with generic Twitter users, characterizing this project as a shared experience of “audiencing” a media event. The intensity of social interactions is more related to the breadth of the audience reached by the user-generated content and to a strong retweeting activity. In general, better familiarity with digital (social) media is related to an increase in the level of social interaction. The authors analyzed one of the largest educational social reading projects ever realized, contributing to the still scarce empirical research about DSR. The authors employed state-of-the-art automated text reuse detection to classify reader response.
      Citation: Library Hi Tech
      PubDate: 2021-04-06
      DOI: 10.1108/LHT-12-2020-0317
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • The current situation of information literacy education and curriculum
           design in Pakistan: a discovery using Delphi method

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      Authors: Syeda Hina Batool, Ata ur Rehman, Imran Sulehri
      Abstract: The present study focused on information literacy education through a unique research lens, i.e. the Delphi process in developing countries. The primary aim of the study is to formulate an information literacy framework for higher education. In total 13 experts from the field, including academicians and practitioners, were invited to build consensus on the components of an information literacy curriculum for library and information sciences or management postgraduate students. The Delphi process was completed in three reasonable rounds to build consensus on eight information literacy course units, including computer, research, critical, information, domain-specific knowledge and copyright literacies in line with learning and communication skills. The panelists considered computer, research and critical literacies as the most significant components of an information literacy curriculum for postgraduates. The proposed framework of information literacy curriculum may have considerable implications for educators, practitioners and researchers. The study is unique as it focuses on developing a contextual and comprehensive information literacy education framework for information professionals.
      Citation: Library Hi Tech
      PubDate: 2021-04-05
      DOI: 10.1108/LHT-02-2021-0056
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Accessible charts are part of the equation of accessible papers: a
           heuristic evaluation of the highest impact LIS journals

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      Authors: Rubén Alcaraz Martínez, Mireia Ribera, Jordi Roig Marcelino, Afra Pascual Almenara, Toni Granollers Saltiveri
      Abstract: Statistical charts are an essential source of information in academic papers. Charts have an important role in conveying, clarifying and simplifying the research results provided by the authors, but they present some accessibility barriers for people with low vision. This article aims to evaluate the accessibility of the statistical charts published in the library and information science (LIS) journals with the greatest impact factor. A list of heuristic indicators developed by the authors has been used to assess the accessibility of statistical charts for people with low vision. The heuristics have been applied to a sample of charts from 2019 issues of ten LIS journals with the highest impact factor according to the ranking of the JCR. The current practices of image submission do not follow the basic recommended guidelines on accessibility like color contrast or the use of textual alternatives. On the other hand, some incongruities between the technical suggestions of image submission and their application in analyzed charts also emerged. The main problems identified are: poor text alternatives, insufficient contrast ratio between adjacent colors and the inexistence of customization options. Authoring tools do not help authors to fulfill these requirements. The sample is not very extensive; nonetheless, it is representative of common practices and the most frequent accessibility problems in this context. The heuristics proposed are a good starting point to generate guidelines for authors when preparing their papers for publication and to guide journal publishers in creating accessible documents. Low-vision users, a highly prevalent condition, will benefit from the improvements. The results of this research provide key insights into low-vision accessibility barriers, not considered in previous literature and can be a starting point for their solution.
      Citation: Library Hi Tech
      PubDate: 2021-04-05
      DOI: 10.1108/LHT-08-2020-0188
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • How social media fosters the elders' COVID-19 preventive behaviors:
           perspectives of information value and perceived threat

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      Authors: Tran Hung Nguyen, Xuan Cu Le
      Abstract: Although crisis communication via social media has engaged academia's attention during the disease outbreak, information value for preventive behaviors is inadequately studied. The purpose of this paper is to cast light on how to strengthen the uptake of older people's coronavirus disease 2019 (COVID-19) behavioral outcomes due to information value and perceived threat through social media. This study designs a survey and applies structural equation modeling to examine a research framework. A sample comprises 334 Vietnamese older participants who have utilized social media. The results illustrate that preventive behaviors are determined by perceived threat (i.e. severity and susceptibility). Furthermore, older people heighten risk perceptions based on information characteristics, including information relevance, informative support and source credibility. Lastly, information relevance is a strong predictor of source credibility. The findings assist practitioners to enhance crisis communication effectiveness via social media by imparting valuable information to the public. Moreover, this paper offers overarching guidelines on the improvement in credibility with creators, risk consciousness and preventive behaviors. Although earlier studies focused attentiveness on the power of social media for raising threat perceptions, this work seems the first to unveil informative motives for perceived COVID-19 threat across older individuals, which subsequently presents plausible reasons for behavioral disclosure, including facemask-wearing, hand-washing and social distancing.
      Citation: Library Hi Tech
      PubDate: 2021-04-05
      DOI: 10.1108/LHT-09-2020-0241
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Research of influence mechanism of corporate social responsibility for
           smart cities on consumers' purchasing intention

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      Authors: Meier Zhuang, Wenzhong Zhu, Lihui Huang, Wen-Tsao Pan
      Abstract: The main purpose of this paper is to explore the influence mechanism of corporate social responsibility (CSR) for smart cities on consumers' purchase intention. The authors aim to identify the key components of CSR for smart cities based on the perspective of consumers, namely responsibility toward consumers, environment and community and validate their relationship. The authors exploit data collected by questionnaire surveys to estimate the effects of CSR for smart cities on consumers' purchase intentions and to investigate the statistical causality between them. The multilinear regression model is used to figure out the different impact levels of the three dimensions of CSR for smart cities on consumers' purchase intention. The results illustrate that CSR for smart cities and its three dimensions all have significant positive impacts on consumers' purchase intentions. Besides, consumer–corporate identity (CCI) exerts a partial mediation effect on this influence mechanism. This research is based on a rather small sample size. Besides, due to the time limitation and other factors, some other control variables are neglected in the regression model. Therefore, the impact level could be distorted. The authors put forward management implications according to research conclusions. Corporates should actively fulfill the CSR in the field of consumer responsibility to boost consumers' purchase intention. Corporate should strengthen the interaction with consumers to improve their corporate identity. The main contribution of this paper is to provide convincing evidence of the impacts of CSR for smart cities on consumer purchase intention (CPI), thus proposing effective measures for corporates to win more consumers by taking on social responsibility for smart cities. This paper takes CCI as mediating variable to deepen the understanding of the impacts of CSR for smart cities on CPI, which is innovative and beneficial to enriching literature in related fields.
      Citation: Library Hi Tech
      PubDate: 2021-04-05
      DOI: 10.1108/LHT-11-2020-0290
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Effects of social robots on depressive symptoms in older adults: a scoping
           review

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      Authors: Bruno Sanchez de Araujo, Marcelo Fantinato, Sarajane Marques Peres, Ruth Caldeira de Melo, Samila Sathler Tavares Batistoni, Meire Cachioni, Patrick C.K. Hung
      Abstract: This review scopes evidence on the use of social robots for older adults with depressive symptoms, in the scenario of smart cities, analyzing the age-related depression specificities, investigated contexts and intervention protocols' features. Studies retrieved from two major databases were selected against inclusion and exclusion criteria. Studies were included if used social robots, included older adults over 60, and reported depressive symptoms measurements, with any type of research design. Papers not published in English, published as an abstract or study protocol, or not peer-reviewed were excluded. 28 relevant studies were included, in which PARO was the most used robot. Most studies included very older adults with neurocognitive disorders living in long-term care facilities. The intervention protocols were heterogeneous regarding the duration, session duration and frequency. Only 35.6% of the studies had a control group. Finally, only 32.1% of the studies showed a significant improvement in depression symptoms. Despite the potential for using social robots in mental health interventions, in the scenario of smart cities, this review showed that their usefulness and effects in improving depressive symptoms in older adults have low internal and external validity. Future studies should consider factors as planning the intervention based on well-established supported therapies, characteristics and needs of the subjects, and the context in which the subjects are inserted.
      Citation: Library Hi Tech
      PubDate: 2021-04-02
      DOI: 10.1108/LHT-09-2020-0244
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Museum engagement visits with a universal game-based blended museum
           learning service for different age groups

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      Authors: Tien-Yu Hsu, Hsin-Yi Liang
      Abstract: This study develops a universal game-based blended museum learning service (UGBMLS) to engage museum visitors of different ages and promote their return visits. This study aims to provide a single service with flexible learning content matching the diverse needs and preferences for different ages. The contextual influences are considered to promote participatory experiences and meaningful social interactions. An experiment is conducted herein to understand how visitors of different ages experience the museum's services as well as to address the design issues in aiming to satisfy the different age groups' needs. A UGBMLS, which includes a real-world adventure game system with flexible learning content and various types of learning support, was provided for different age groups. To investigate how the visitors of different ages evaluate their experiences with the UGBMLS, a mixed-method study was conducted. In total, two questionnaires were employed to examine the visitors' museum experiences and subjective measurements of cognitive load. In addition, observation and group interviews were used to explain the quantitative results. The results show that the UGBMLS can engage diverse visitors of different ages in museum visits and promote their revisit motivations. However, there are significant differences among different age groups. The design issues in seeking to satisfy the diverse needs of different age groups are noted. This study provides a feasible and cost-effective approach to support diverse visitors of different ages learning in museums. This study provides an effective solution for engaging diverse visitors of different ages with a unified service. The results can be used to better understand the needs of different age groups and to effectively improve their museum experiences, thereby boosting their motivation regarding return visits. This study provides a feasible and cost-effective approach to support diverse visitors' learning in museums.
      Citation: Library Hi Tech
      PubDate: 2021-04-01
      DOI: 10.1108/LHT-08-2020-0198
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Retrospective and prospective approaches of coronavirus publications in
           the last half-century: a Latent Dirichlet allocation analysis

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      Authors: Farshid Danesh, Meisam Dastani, Mohammad Ghorbani
      Abstract: The present article's primary purpose is the topic modeling of the global coronavirus publications in the last 50 years. The present study is applied research that has been conducted using text mining. The statistical population is the coronavirus publications that have been collected from the Web of Science Core Collection (1970–2020). The main keywords were extracted from the Medical Subject Heading browser to design the search strategy. Latent Dirichlet allocation and Python programming language were applied to analyze the data and implement the text mining algorithms of topic modeling. The findings indicated that the SARS, science, protein, MERS, veterinary, cell, human, RNA, medicine and virology are the most important keywords in the global coronavirus publications. Also, eight important topics were identified in the global coronavirus publications by implementing the topic modeling algorithm. The highest number of publications were respectively on the following topics: “structure and proteomics,” “Cell signaling and immune response,” “clinical presentation and detection,” “Gene sequence and genomics,” “Diagnosis tests,” “vaccine and immune response and outbreak,” “Epidemiology and Transmission” and “gastrointestinal tissue.” The originality of this article can be considered in three ways. First, text mining and Latent Dirichlet allocation were applied to analyzing coronavirus literature for the first time. Second, coronavirus is mentioned as a hot topic of research. Finally, in addition to the retrospective approaches to 50 years of data collection and analysis, the results can be exploited with prospective approaches to strategic planning and macro-policymaking.
      Citation: Library Hi Tech
      PubDate: 2021-04-01
      DOI: 10.1108/LHT-09-2020-0216
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Brain–computer interface in the context of information retrieval
           systems in a library

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      Authors: Magdalena Wójcik
      Abstract: The subject of this paper is the idea of Brain–Computer Interface (BCI). The main goal is to assess the potential impact of BCI on the design, use and evaluation of information retrieval systems operating in libraries. The method of literature review was used to establish the state of research. The search according to accepted queries was carried out in the Scopus database and complementary in Google Scholar. To determine the state of research on BCI on the basis of library and information science, a specialist LISTA abstract database was also searched. The most current papers published in the years 2015–2019 in the English language or having at least an abstract in this language were taken into account. The analysis showed that BCI issues are extremely popular in subject literature from various fields, mainly computer science, but practically does not occur in the context of using this technology in information retrieval systems. Due to the fact that BCI solutions are not yet implemented in libraries and are rarely the subject of scientific considerations in the field of library and information science, this article is mainly based on literature from other disciplines. The goal was to consider how much BCI solutions can affect library information retrieval systems. The considerations presented in this article are theoretical in nature due to the lack of empirical materials on which to base. The author's assumption was to initiate a discussion about BCI on the basis of library and information science, not to propose final solutions. The results can be widely used in practice as a framework for the implementation of BCI in libraries. The article can help to facilitate the debate on the role of implementing new technologies in libraries. The problem of BCI is very rarely addressed in the subject literature in the field of library and information science.
      Citation: Library Hi Tech
      PubDate: 2021-03-31
      DOI: 10.1108/LHT-09-2020-0239
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Let eyes tell: experimental research on university library signage system
           and users' wayfinding behavior

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      Authors: Wencheng Su, Zhangping Lu, Yinglin Sun, Guifeng Liu
      Abstract: Wayfinding efficiency is an extremely influential factor to improve users' library interior experience. However, few research has studied the different functions of various wayfinding signages for university library users through mobile visual experiment. To fill this gap, the purpose of this paper is to explore the relationship between university library signage system design and patrons' wayfinding behavior features. In this article, an eye movement tracking method was introduced to record eye movement data during the wayfinding process of participants in the library interior, targeting the cognition and psychology of library users in the wayfinding signage system. The visual guiding usability of landmarks, informational signages and directional signages were quantitatively tested, and the fixation on the signage system between orientation strategy users and route strategy users was compared. This study also investigated the effects of library users' spatial anxiety and environmental familiarity on their fixation on the area of interest of the wayfinding signage system using the differential test and regression. This paper observed that informational signage had the best visual navigating competence. The difference of fixation duration and searching duration between patrons used various wayfinding strategies was significant. The informational signage was most attended by the route strategy users, and the orientation strategy users rarely focused on the directional signage. And participants with high anxiety tended to ignore the visually auxiliary function of the landmarks but paid attention to the directional signage. The participants with low anxiety could capture the landmarks that could not be easily found by the route strategy users. And participants less familiar with the environment were more sensitive to the landmarks. Furthermore, this paper offers optimization measures for university library wayfinding signage system, from the perspectives of informational signage understandability improvement, directional signage physical specification design and wayfinding assistant system with automatic landmark technology. This article adds to the relatively sparse literature on university library user wayfinding experimental study in China. The experimental findings of this paper also have important practical implications for academic libraries' wayfinding system evaluation. The whole process could be seen as a repeatable and standard framework and methodology to inspect university library's wayfinding signage system usability and user wayfinding behavior performance.
      Citation: Library Hi Tech
      PubDate: 2021-03-25
      DOI: 10.1108/LHT-01-2020-0007
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • E-book data mining: real information behavior of university academic
           community

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      Authors: Azra Rafique, Kanwal Ameen, Alia Arshad
      Abstract: The purpose of this study is to examine the evidence-based use patterns of Higher Education Commission (HEC) subscribed e-books databases by the academic community at institutions of higher education in Pakistan. The study also investigates the differences in usage based on points of access, scholarly disciplines and gender of users. A transaction log analysis (TLA) method was used to explore the use patterns of HEC e-books databases at the University of the Punjab, utilizing the SAWMILL analytical software and MS Excel. The results of the study showed that the use of e-books was at a growing stage at the university. Male boarding students of the university were more active users of e-books as compared to their female counterparts. The Central Library of the University of the Punjab, the Department of Zoology and the Institute of Communication Studies were the most frequently used access points for the e-book users, and the Faculties of Sciences, Life Sciences, Economics and Management Sciences had the most active e-book readers. Furthermore, it was found that the HEC e-books databases were only being used during the four months of summer vacations at the university. The study provides only descriptive use frequencies rather than a deep log analysis of e-books usage. This research provides important practical implications for examining the evidence-based use patterns of e-books databases' users at the higher educational level. The research suggests that HEC should maintain subscriptions of the most required e-books databases and that the information professionals should conduct orientations and information literacy programs to enhance the utilization of these subscribed databases among female boarder students and those faculties where they were being used less frequently. The study is the second part of the first phase of a Ph.D. project. This is the first large scale study conducted in a developing country which reports the close to actual, approximate use patterns of e-books based on raw transaction logs of local cache servers at the higher academic level.
      Citation: Library Hi Tech
      PubDate: 2021-03-24
      DOI: 10.1108/LHT-07-2020-0176
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Information system for epidemic control: a computational solution
           addressing successful experiences and main challenges

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      Authors: Guilherme Conceição Rocha, Henrique Mohallem Paiva, Davi Gonçalves Sanches, Daniel Fiks, Rafael Martins Castro, Lucas Fernando Alvarenga e Silva
      Abstract: The SARS-CoV-2 pandemic has caused a major impact on worldwide public health and economics. The lessons learned from the successful attempts to contain the pandemic escalation revealed that the wise usage of contact tracing and information systems can widely help the containment work of any contagious disease. In this context, this paper investigates other researches on this domain, as well as the main issues related to the practical implementation of such systems and specifies a technical solution. The proposed solution is based on the automatic identification of relevant contacts between infected or suspected people with susceptible people; inference of contamination risk based on symptoms history, user navigation records and contact information; real-time georeferenced information of population density of infected or suspect people; and automatic individual social distancing recommendation calculated through the individual contamination risk and the worsening of clinical condition risk. The solution was specified, prototyped and evaluated by potential users and health authorities. The proposed solution has the potential of becoming a reference on how to coordinate the efforts of health authorities and the population on epidemic control. This paper proposed an original information system for epidemic control which was applied for the SARS-CoV-2 pandemic and could be easily extended to other epidemics.
      Citation: Library Hi Tech
      PubDate: 2021-03-22
      DOI: 10.1108/LHT-11-2020-0276
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Bibliometric analysis on OA articles of public health emergencies from
           multidimensional perspective

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      Authors: Xin Feng, Liming Sun, Yuehao Liu, Jiapei Li, Ye Wu
      Abstract: This paper aims to explore the development trend of OA articles and their advantages and disadvantages in the process of fighting the pandemic, and conduct a multi-level and multi-angle analysis of the relationship between publishing costs and the influence of OA articles. This study first compares the total number of articles in Web of Science with the number of OA articles, and the total number of COVID-19 related articles with the total number of OA articles. Subsequently, using the methods of institutional cooperation co-occurrence network, keyword co-occurrence and multidimensional scale analysis, and using the literature on the topic of COVID-19 in CNKI (Chinese National Knowledge Infrastructure) as the data set, we generate visualized maps of research results distribution and keyword co-occurrence network with the help of the Statistical Analysis Toolkit for Infometrics (SATI) The research results show that the citation frequency and use frequency of OA articles related to COVID-19 are significantly higher than that of non-OA articles. OA articles dominate in the anti-pandemic process, with a series of advantages such as short review cycle, timeliness, high social benefit, high participation and fast dissemination playing an important role. Under the model of author's non-payment for OA article, the degree of institutional cooperation and author cooperation is enhanced, which improves the fluidity of knowledge, strengthens close links between keywords and enhances significant academic influence; OA articles will continue to promote research in the field of COVID-19, but the lack of quality of some OA articles may hinder their development. Then OA articles will further focus on clinical medicine, and related results will continue to promote the development and communication of OA articles in this field. Corresponding measures are also proposed for the existing problems of OA articles, to provide a reference for the publication and dissemination of OA articles in public health emergencies in the future.
      Citation: Library Hi Tech
      PubDate: 2021-03-16
      DOI: 10.1108/LHT-06-2020-0141
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Social network analysis and data visualization of MIS international
           collaboration in Taiwan

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      Authors: Yung-Ting Chuang, Yi-Hsi Chen
      Abstract: The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015. The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan. The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years. This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.
      Citation: Library Hi Tech
      PubDate: 2021-03-15
      DOI: 10.1108/LHT-08-2020-0186
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • When peril responds to plague: predatory journal engagement with COVID-19

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      Authors: Ryan M. Allen
      Abstract: The academic community has warned that predatory journals may attempt to capitalize on the confusion caused by the COVID-19 pandemic to further publish low quality academic work, eroding the credibility of scholarly publishing. This article first chronicles the risks of predatory publishing, especially related to misinformation surrounding health research. Next, the author offers an empirical investigation of how predatory publishing has engaged with COVID-19, with an emphasis on journals related to virology, immunology and epidemiology as identified through Cabells' Predatory Reports, through a content analysis of publishers' websites and a comparison to a sample from DOAJ. The empirical findings show that there were 162 titles related to these critical areas from journals listed on Cabells with a range of infractions, but most were defunct and only 39 had published on the pandemic. Compared to a DOAJ comparison group, the predatory journal websites were less likely to mention slowdowns to the peer review process related to the pandemic. Furthermore, another 284 predatory journals with COVID-19 engagement were uncovered from the initial exploration. These uncovered journals mostly centered on medical or biological science fields, while 42 titles came from other broader fields in social science, other STEM or humanities. This study does not prove that predatory publications have released misinformation pertaining to COVID-19, but rather it exemplifies the potential within a complex academic publishing space. As these outlets have proven to be vectors of misleading science, libraries and the broader educational community need to stay vigilant as information intermediaries of online research.
      Citation: Library Hi Tech
      PubDate: 2021-03-08
      DOI: 10.1108/LHT-01-2021-0011
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Sprawl of the COVID-19 in changing scenario: a methodology based on social
           interaction

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      Authors: Gaurav Kumar, Akshay Kumar, Farhan Mohammad Khan, Rajiv Gupta
      Abstract: There are several methods developed in the recent past to predict the spread of COVID-19 in different countries. However, due to changing scenarios in terms of interaction among people, none could predict the case close to the actual figures. An attempt to simulate people's interaction due to economic reopening concerning the confirmed cases at various places as per changing situation has been made. The scenario development method's base lies in the hypothesis that if there were no inter-state transportation during India's lockdown after May 24th, the number of infection cases would have started lowering down in a normalized progression. This study has developed three scenarios from the worst to the business-as-usual to the best in order to project the COVID-19 infections in India concerning infections observed from January 30th till May 24th, 2020, since the domestic flights became operational from May 25th, 2020, in India. Based on the observed cases till May 24th, the rise of cases is projected further in a random progression and superimposed to the normal progression. The results obtained in the three scenarios present that worst case needs complete lockdown, business-as-usual case needs regulatory lockdown and best case assures complete lockdown release by the second week of September 2020. This study suggests the preparedness and mitigation strategy for a threefold lockdown management scheme in all-inclusive. The work has been done on a hypothesis which is solely original.
      Citation: Library Hi Tech
      PubDate: 2021-03-05
      DOI: 10.1108/LHT-06-2020-0134
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Topic structure and evolution patterns of documentary heritage
           preservation and conservation research in China

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      Authors: Yaolin Zhou, Yun Bai, Yue Zhao
      Abstract: This study aims to identify the prominent topics, the distribution and association characteristics of topics and the topic evolutionary trends of Documentary Heritage Preservation and Conservation (DHPAC) research in China. Keywords of relevant papers in China National Knowledge Infrastructure (CNKI) were extracted as the data source in this study. First, frequency and co-occurrence of keywords of the selected papers were obtained by using SATI. Second, co-word network indicators were calculated with the Pajek software. Then, VOSviewer was applied to optimize the visualization of the sub-communities. Finally, a topics evolution map of this research field was implemented by CorTexT. The research topics of DHPAC research in China were unbalanced but distinct. Topics of DHPAC research in China possessed inconspicuous orientation and consistency. The core topics had less influence on the overall network. A research system had formed with archival conservation and ancient books conservation as the core research directions. Research in this field had formed four continuous evolutionary paths about ancient books conservation, salvage conservation, archival conservation and archives conservation technology science with topics fusion and differentiation coexisting. Attentions on “ancient books conservation”, “paper relics conservation”, “electronic record”, “digitization”, “minority”, “documents in the republic of China” had increased during the past two decades and new hot topics of DHPAC research kept appearing in China. This study synthesized and analyzed the research results of DHPAC research in China from a more comprehensive perspective and revealed the topic structure and longitudinal evolution process intuitively with co-word analysis and social network analysis, which can assist researchers to improve research systematization, discover new research directions and seek cooperative research path.
      Citation: Library Hi Tech
      PubDate: 2021-02-22
      DOI: 10.1108/LHT-08-2020-0184
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Facilitating transmuters' acquisition of data scientist knowledge based on
           their educational backgrounds: state-of-the-practice and challenges

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      Authors: Muhammad Javed Ramzan, Saif Ur Rehman Khan, Inayat ur-Rehman, Muhammad Habib Ur Rehman, Ehab Nabiel Al-khannaq
      Abstract: In recent years, data science has become a high-demand profession, thereby attracting transmuters (individuals who want to change their profession due to industry trends) to this field. The primary purpose of this paper is to guide transmuters in becoming data scientists. An exploratory study was conducted to uncover the challenges faced by data scientists according to their educational backgrounds. An extensive set of responses from 31 countries was received. The results reveal that skill requirements and tool usage vary significantly with educational background. However, regardless of differences in academic background, the data scientists surveyed spend more time analyzing data than operationalizing insight. The collected data are available to support replication in various scenarios, for example, for use as a roadmap for those with an educational background in art-related disciplines. Additional empirical studies can also be conducted specific to geographical location. The current work has categorized data scientists by their fields of study making it easier for universities and online academies to suggest required knowledge (courses) according to prospective students' educational background. The conducted study suggests the required knowledge and skills for transmuters to acquire, based on their educational background, and reports a set of motivational factors attracting them to adopt the data science field.
      Citation: Library Hi Tech
      PubDate: 2021-02-19
      DOI: 10.1108/LHT-08-2020-0203
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Key features of information management systems (IMSs) for automation in
           university libraries: a view point of information professionals in
           Pakistan

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      Authors: Shakeel Ahmad Khan, Ghulam Ayesha
      Abstract: The purpose of this study is to investigate the key features of information management systems (IMSs) for automation in university libraries. This study also highlights the use of library information management systems in university libraries and the satisfaction of university librarians in using various IMS. This study is quantitative in nature. A survey research method has been applied to achieve the research objectives. Purposive sampling has been used to select the targeted population which consisted of 157 librarians working in university libraries. Data were collected through a web-based questionnaire. Descriptive and inferential statistics were applied to analyze the collected data by using SPSS software. Free and open source software are widely used in university libraries to manage the bibliographic information of library material. KOHA is the most used software for library automation in university libraries of Pakistan. The key features of library information management system (IMS) include reliability and security of the software, user-friendly interface, advance searching options, use of library standards (MARC, Uni MARC, RDA), online upgradation, technical support of developing company, shared cataloging, multilingual features of software, etc (See Figure 4). The study recommends that the above-mentioned features must be considered by university librarians when selecting any software for library automation. Results showed that apart from the use of KOHA software, there are also some other software which are being used for library automation in university libraries of Pakistan. These systems include; Virtua, Library Management System (LMS), and Library Information Management Systems (LIMSs). This study has practical implications for university librarians in Pakistan as well as in other countries. Librarians can use the results of this study as a blueprint before selecting any information management system to automate the library record. This study identifies the core features of IMS for automation in libraries. These features have been recommended by informational professionals who have been working in automated libraries and possess adequate professional experience in using library automation software.
      Citation: Library Hi Tech
      PubDate: 2021-02-17
      DOI: 10.1108/LHT-04-2020-0087
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • The black crow of science and its impact: analyzing Sci-Hub use with
           Google Trends

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      Authors: Emad Behboudi, Amrollah Shamsi, Gema Bueno de la Fuente
      Abstract: In 2016, Bohannon published an article analyzing the download rate of the top ten countries using the illegal Sci-Hub website. Four years later, this study approaches the search behavior of these ten countries as they query about Sci-Hub in Google's search engine, the world's most widely used search engine. The authors also tracked the possible consequences of using Sci-Hub, such as plagiarism. The search terms “Sci-Hub”, “Plagiarism” and “Plagiarism Checker” were explored with Google Trends. The queries were performed globally and individually for the ten target countries, all categories and web searches. The time range was limited between 1/1/2016 (after the date of publication of Bohannon's work) and 29/03/2020. Data were extracted from Google Trends and the findings were mapped. Searching for the word Sci-Hub on Google has increased nearly eightfold worldwide in the last four years, with China, Ethiopia and Tunisia having the most searches. Sci-Hub's search trends increased for most of the T10C, with Brazil and Iran having the highest and lowest average searches, respectively. Access to the research literature is required to the progress of research, but it should not be obtained illegally. Given the increasing incidence of these problems in countries at any level of development, it is important to pay attention to ethics education in research and establish ethics committees. A comprehensive review of the research process is required to reduce the urge to circumvent copyright laws and includes training and educating research stakeholders in copyright literacy. To address these goals, national and international seriousness and enthusiasm are essential.
      Citation: Library Hi Tech
      PubDate: 2021-02-16
      DOI: 10.1108/LHT-04-2020-0105
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Green computing intent and behavior of Pakistani academic librarians:
           PLS-SEM analysis

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      Authors: Saira Hanif Soroya, Khalid Mahmood, Muhammad Shahid Soroya, Sumaira Hussain, Aleeha Ilyas
      Abstract: In the age of global warming where there is a need to go green in various sectors of life, it is also an urgent need for different IT industries and companies to incorporate green agenda. The green agenda is also dependent on human behavior. Therefore, it is equally important to explore the factors that positively affect green computing behavior. In this regard, contextual considerations are important. Thus, the purpose of this study is to explore the green computing intent and behavior of heavy IT users, i.e. librarians underpinning the theory of planned behavior. The study was based on a quantitative research design. A total of 181 survey-based online questionnaires were filled by Pakistani university librarians. The proposed hypothetical model was tested using structural equation modeling in SmartPLS v3.2. The study findings confirm that attitude and perceived behavioral control have a significant positive impact on the intention to adopt green computing behavior (GC behavior) among academic librarians. The findings further reveal that green computing awareness proved a strong predictor of green computing behavior, as it not only affects GC behavior but also impacts positively on attitude and perceived behavioral control that ultimately affects GC behavior through intention. The study argues that green computing behavior is dependent on several predictors that can be deployed to develop a positive behavior towards green computing. The study is important as it is the first time conducted on one of the heavy IT user groups, i.e. librarians.
      Citation: Library Hi Tech
      PubDate: 2021-02-09
      DOI: 10.1108/LHT-01-2021-0001
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Impact analysis of e-Databases' job relevance, output quality and result
           demonstrability on faculty research motivation

         This is an Open Access Article Open Access Article

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      Authors: Roland Izuagbe, Olajumoke Rebecca Olawoyin, Christopher Nkiko, Promise Ifeoma Ilo, Felicia Yusuf, Mercy Iroaganachi, Julie Ilogho, Goodluck Israel Ifijeh
      Abstract: The purpose of the study is to ascertain whether or not faculty members would be motivated to use e-Databases for research considering the impact of the Technology Acceptance Model2 (TAM2) cognitive instrumental processes of job relevance, output quality and result demonstrability. The survey research design was applied. The selection of samples was based on a multistage sampling technique involving; purposive, simple/systematic random and total enumeration procedures. Five colleges and departments each were selected from the three universities that provided the setting for the conduct of this study, out of which a sample of 135 was drawn from the total population of 209. The questionnaire method was used for data gathering. Ninety-five percent return rate of the administered instrument was observed. Descriptive and inferential statistical tools were employed for data analyses. Job relevance, output quality and result demonstrability are motivators of faculty use of e-Databases for research with result demonstrability wielding the strongest influence. Use of e-Databases for research is based on the usefulness level perceived of them. Faculty are highly predisposed to using the technology for research with the chances of getting published in reputable journal outlets ranked highest among other factors that influence faculty use of e-Databases. The conceptualization of TAM2 cognitive instrumental processes as system characteristics and motivators of e-Databases use among faculty towards research engagement advances the understanding of intention to use e-Databases for research.
      Citation: Library Hi Tech
      PubDate: 2021-02-09
      DOI: 10.1108/LHT-03-2020-0050
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • The effectiveness of using crowdsourcing for improving information
           services: an action research approach

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      Authors: Ali Saif Said Al-Aufi, Nabhan Al-Harrasi, Azhar Al-Abri
      Abstract: The purpose of this study was to identify the status of using crowdsourcing to develop information services through the Twitter platform and to determine the factors affecting such usage. A qualitative action research approach was employed to achieve the objectives of the study and to provide answers to the research questions. The effectiveness of using crowdsourcing technique for improving information services has been explored through five procedural stages: diagnostics, action planning, action taking, evaluation and determined learning. Three tools were used to collect data: open interviews, content analysis of the sampled accounts on Twitter and users' perceptions regarding information services. The results of the study revealed that crowdsourcing was not used in the development of information services per se, but it has been used for other purposes. The results also revealed that several factors influenced the adoption of using crowdsourcing to develop information services, including factors related to the institutional trust in crowds' capabilities, the nature of service and type of the needed development, and finally, the platform used to conduct crowdsourcing. The results of the action research proved that using crowdsourcing to develop information services could be effective. The study suggests a model that can be used to test changes implemented in organizations, especially regarding adoption of crowdsourcing as a framework to achieve the objectives of the institution, particularly in the planning processes. This research paper produces new knowledge through using a qualitative action research approach to understand the potential of social media in crowdsourcing. There have been no similar studies conducted in the region for the specified research design. The results add to the level of learning and raise awareness within the research community regarding the effectiveness of using crowdsourcing via social media platforms to improve the efficiency of information services.
      Citation: Library Hi Tech
      PubDate: 2021-02-04
      DOI: 10.1108/LHT-08-2020-0192
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Fault-tolerant content list management for media servers in the smart
           robot domain

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      Authors: Chi-Chun Chen, Jian-Hong Wang, Hsing-Wen Wang, Jie Zhang
      Abstract: This research proposes an innovative fault-tolerant media content list management technology applied to the smart robot domain. A fault tolerant Content List Management Unit (CLMU) for real-time streaming systems focusing on smart robot claw machines is proposed to synchronize and manage the hyperlink stored on media servers. The fault-tolerant mechanism is realized by the self-healing method. A media server allows exchanging the hyperlink within the network through the CLMU mechanism. Internet users can access the current multimedia information, and the multimedia information list can be rearranged appropriately. Furthermore, the service of the proposed multimedia system should be uninterrupted even when the master media server fails. Therefore, one of the slave media servers enables the Content List Service (CLS) of the proposed CLMU and replaces the defunct master media server. The recovery time is less than 1.5 seconds. The multimedia transmission is not interrupted while any one of the media servers keeps functioning. The proposed method can serve to stabilize the system of media servers in a smart robot domain.
      Citation: Library Hi Tech
      PubDate: 2021-02-01
      DOI: 10.1108/LHT-07-2020-0179
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Impact of using ARCS model and problem-based leaning on human interaction
           with robot and motivation

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      Authors: Chih-Hsien Hsia, Chin-Feng Lai, Yu-Sheng Su
      Abstract: The purpose of this study, we present a robot used in education. Influenced by the epoch of revolutionary digital technology, the methodology of education has gone boundless. The robot programming sustainability and ability to solve problems is one an important skill that coding students require to learn programming. This educational have been integrated into curriculum instruction in clubs. Robotics education has been regarded as a potential approach to enhance students' Science, technology, engineering, and mathematics learning competencies. The popular platform of robots diversifies educational practices by its advantages of reorganizational and logical forms. In this paper, we focus on the effects of applying blended instructional approaches to robot education on students' programming sustainability and ability. The students of department of mechanical engineering at the University in Taipei city, who participate elective educational robot courses, prove through surveys that the problem-based leaning method with robot programming can effectively enhance students' interests and learning motivations in learning new knowledge and promote students' designing skills for a sustainable society. In this paper, the authors focus on the effects of applying blended instructional approaches to robot education on students' programming sustainability and ability.
      Citation: Library Hi Tech
      PubDate: 2021-02-01
      DOI: 10.1108/LHT-07-2020-0182
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • Why should I contribute my voice' Analysis of members' knowledge
           contribution behavior from a perspective of social distance

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      Authors: Min Zhang, Yunxiao Xue, Jun Yang, Yan Zhang
      Abstract: Members' knowledge contribution behavior has positive significance for maintaining the activity of the knowledge community, as well as for improving knowledge interaction efficiency and member viscosity. With the development of the mobile Internet, knowledge communities based on social platforms have become more convenient and popular. This study aims to explore what and how factors influence members' knowledge contribution behavior in social knowledge communities from the perspective of social distance. Based on the theory of reciprocity and on the theory of self-efficacy, hypotheses and research models are proposed. In the empirical study, WeChat learning group is selected as the research case. The empirical investigation (N = 244) collects research data through questionnaires. I-intention and we-intention both have positive influence on members' knowledge contribution behavior. Knowledge self-efficacy positively moderates the influence of we-intention and affects knowledge contribution behavior. In addition, I-intention is positively affected by expected knowledge benefit, expected emotional benefit and expected image benefit, while costs have no effect. We-intention is positively influenced by affective commitment, continuance commitment and normative commitment in relationship strength, as well as affiliation to the contributing climate. This paper aims to discuss I-intention, we-intention, and their roles in members' knowledge contribution behavior. It is a beneficial development for existing research to combine the characteristics of new style communities with systematical analysis of knowledge contribution behavior. Findings may provide enlightenment to the social knowledge community on diversity development and differentiated marketing strategies.
      Citation: Library Hi Tech
      PubDate: 2021-01-25
      DOI: 10.1108/LHT-08-2020-0207
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • A character social network relationship map tool to facilitate digital
           humanities research

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      Authors: Chih-Ming Chen, Chung Chang, Yung-Ting Chen
      Abstract: Digital humanities aim to use a digital-based revolutionary new way to carry out enhanced forms of humanities research more effectively and efficiently. This study develops a character social network relationship map tool (CSNRMT) that can semi-automatically assist digital humanists through human-computer interaction to more efficiently and accurately explore the character social network relationships from Chinese ancient texts for useful research findings. With a counterbalanced design, semi-structured in-depth interview, and lag sequential analysis, a total of 21 research subjects participated in an experiment to examine the system effectiveness and technology acceptance of adopting the ancient book digital humanities research platform with and without the CSNRMT to interpret the characters and character social network relationships. The experimental results reveal that the experimental group with the CSNRMT support appears higher system effectiveness on the interpretation of characters and character social network relationships than the control group without the CSNRMT, but does not achieve a statistically significant difference. Encouragingly, the experimental group with the CSNRMT support presents remarkably higher technology acceptance than the control group without the CSNRMT. Furthermore, use behaviors analyzed by lag sequential analysis reveal that the CSNRMT could assist digital humanists in the interpretation of character social network relationships. The results of the interview present positive opinions on the integration of system interface, smoothness of operation, and external search function. Currently, the system effectiveness of exploring the character social network relationships from texts for useful research findings by using the CSNRMT developed in this study will be significantly affected by the accuracy of recognizing character names and character social network relationships from Chinese ancient texts. The developed CSNRMT will be more practical when the offered information about character names and character social network relationships is more accurate and broad. This study develops an ancient book digital humanities research platform with an emerging CSNRMT that provides an easy-to-use real-time interaction interface to semi-automatically support digital humanists to perform digital humanities research with the need of exploring character social network relationships. At present, a real-time social network analysis tool to provide a friendly interaction interface and effectively assist digital humanists in the digital humanities research with character social networks analysis is still lacked. This study thus presents the CSNRMT that can semi-automatically identify character names from Chinese ancient texts and provide an easy-to-use real-time interaction interface for supporting digital humanities research so that digital humanists could more efficiently and accurately establish character social network relationships from the analyzed texts to explore complicated character social networks relationship and find out useful research findings.
      Citation: Library Hi Tech
      PubDate: 2021-01-19
      DOI: 10.1108/LHT-08-2020-0194
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • The effect of intellectual property treaties on international innovation
           collaboration: a study based on USPTO patents during 1976–2017

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      Authors: JianQin Xiang, Feicheng Ma, Haiyan Wang
      Abstract: Studies have indicated that international innovation collaboration has promoted technology transfer and knowledge spillover between countries. The conclusion of various international intellectual property (IP) treaties has played an essential role in optimizing the international innovation and collaboration environment. This study investigates the effect of IP treaties on international innovation collaboration and whether international IP treaties can promote collaboration between a country and other economies in the world. After collecting and extracting the patent record data from the United States Patent and Trademark Office (USPTO), a final dataset of 3,213,626 cooperative patents and 465,236 pairs of collaborations between two countries or regions is established. Based on the international patent collaboration data of 192 countries during 1976–2017, the changes in patent collaboration indicators after these countries joined 23 IP treaties are analyzed. International IP treaties have significantly increased the number of patent cooperation countries of a country and its importance in international cooperation networks. The role of IP treaties is more manifested by the increased opportunities for a country's international innovation cooperation than its influence on global innovation; this is of extreme significance for developing countries to introduce advanced technologies. Ginarte and Park (1997) have confirmed that IP treaties have helped to raise the level of IP protection. In this study, the increase in the degree centrality of the international innovation network is evidence of IP treaties to promote innovation cooperation. For a developing country, joining an intellectual property treaty may strengthen intellectual property protection and optimize its own international innovation cooperation methods.
      Citation: Library Hi Tech
      PubDate: 2021-01-19
      DOI: 10.1108/LHT-08-2020-0202
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • OpenRank – a novel approach to rank universities using objective and
           publicly verifiable data sources

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      Authors: Muhammad Sajid Qureshi, Ali Daud, Malik Khizar Hayat, Muhammad Tanvir Afzal
      Abstract: Academic rankings are facing various issues, including the use of data sources that are not publicly verifiable, subjective parameters, a narrow focus on research productivity and regional biases and so forth. This research work is intended to enhance creditability of the ranking process by using the objective indicators based on publicly verifiable data sources. The proposed ranking methodology – OpenRank – drives the objective indicators from two well-known publicly verifiable data repositories: the ArnetMiner and DBpedia. The resultant academic ranking reflects common tendencies of the international academic rankings published by the Shanghai Ranking Consultancy (SRC), Quacquarelli Symonds (QS) and Times Higher Education (THE). Evaluation of the proposed methodology advocates its effectiveness and quick reproducibility with low cost of data collection. Implementation of the OpenRank methodology faced the issue of availability of the quality data. In future, accuracy of the academic rankings can be improved further by employing more relevant public data sources like the Microsoft Academic Graph, millions of graduate's profiles available in the LinkedIn repositories and the bibliographic data maintained by Association for Computing Machinery and Scopus and so forth. The suggested use of open data sources would offer new dimensions to evaluate academic performance of the higher education institutions (HEIs) and having comprehensive understanding of the catalyst factors in the higher education. The research work highlighted the need of a purposely built, publicly verifiable electronic data source for performance evaluation of the global HEIs. Availability of such a global database would help in better academic planning, monitoring and analysis. Definitely, more transparent, reliable and less controversial academic rankings can be generated by employing the aspired data source. We suggested a satisfying solution for improvement of the HEIs' ranking process by making the following contributions: (1) enhancing creditability of the ranking results by merely employing the objective performance indicators extracted from the publicly verifiable data sources, (2) developing an academic ranking methodology based on the objective indicators using two well-known data repositories, the DBpedia and ArnetMiner and (3) demonstrating effectiveness of the proposed ranking methodology on the real data sources.
      Citation: Library Hi Tech
      PubDate: 2021-01-01
      DOI: 10.1108/LHT-07-2019-0131
      Issue No: Vol. ahead-of-print, No. ahead-of-print (2021)
       
  • The structural relationships among spatial presence, situational interest
           and behavioral attitudes toward online virtual museum navigation: a
           PLS-SEM analysis

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      Authors: Kun-Hung Cheng
      Abstract: This study proposed a research model for verifying the structural relationships among users' perceived spatial presence (VR affordance), situational interest (affective factor) and behavioral attitudes (outcome) toward online virtual museum navigation. What role of situational interest plays in the relationships between spatial presence and outcomes was further examined. There were 141 adults invited to participate in the research trials on the navigation of the online virtual museum which was established by 3D space capture techniques. This study conducted a series of PLS-SEM to analyze the participants' quantitative responses to the surveys of spatial presence, situational interest and attitudes. The testing of reliability and validity for the measurement model of this study was satisfied. The significance of users' perceived situational interest: attention demand, instant enjoyment and exploration intention when navigating the online virtual museum with perceptions of spatial presence were identified. The mediation of situational interest in the relationships between spatial presence and behavioral attitudes were also verified. For the practical design of desktop-based online virtual museums, it is suggested that more engaging strategies such as narrative storytelling and gamified interaction could be integrated to enhance users' situational interest including attention demand, instant enjoyment and exploration intention. Through the examination of situational interest from multiple constructs, the research model of this study advanced the conceptual framework for understanding the consequences of VR affordance in online virtual museum navigation. The theoretical contribution to verifying the mediated role of situational interest was made.
      Citation: Library Hi Tech
      PubDate: 2021-11-19
      DOI: 10.1108/LHT-09-2021-0301
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Comparative study on intelligent education research among countries based
           on bibliographic coupling analysis

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      Authors: Chao Ma , Qiaoyun Xu , Baiyang Li
      Abstract: The continuous development of information technology leads to intelligent education research. In the context of internationalisation, the study aims to understand the relevant research status worldwide, research similarities and differences that need to be discovered, and research frontiers that need to be explored. Web of Science (WoS) core collection was used as the data source, descriptive statistical analysis, geographic data visualisation and coupling analysis are used to reveal coupling relationships, present a cooperative situation and discover research frontiers. Intelligent education research has been widely carried out in countries around the world, and there is extensive scientific research cooperation. According to coupling analysis results, the coupling strength of bibliographic between countries has been continuously improved, while the coupling strength of keywords has remained balanced, and there is standardisation and diversity of research. The weakness of the research lies in the limitations of the data sources. Important research achievements on a certain topic in many non-English speaking countries are usually published in native journals. In the future research direction, more coupling analysis objects can be carried out, such as focussing on authors and institutions. Through the coupling analysis of country bibliographic and keywords, it reveals the consistency and divergence of intelligent education research between different countries at different time spans. Design and implement country bibliographic coupling (CBC) and country keyword coupling (CKC) strength indicators to calculate the strength of coupling between countries.
      Citation: Library Hi Tech
      PubDate: 2021-11-16
      DOI: 10.1108/LHT-01-2021-0006
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The analytic study of librarian-user and importance-satisfaction on the
           use factor of complex cultural space in library

         This is an Open Access Article Open Access Article

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      Authors: Younghee Noh
      Abstract: This study surveyed users and librarians who have been transforming libraries into a complex cultural space by reflecting the trends of the times, investigated and analyzed various status of complex cultural spaces, including perceptional differences among different groups and made an attempt to present a direction for the diversification of library's role. This study analyzes the difference between the level of importance and the level of satisfaction for the operational style and use of complex cultural spaces, current status and use of programs and services of libraries as well as the perceptual difference between librarians and users. In order to do so, opinions were collected from librarians who operate complex cultural spaces and users who use the spaces. First, the study compared to see if there is a difference between the preferred complex cultural space of libraries and the type of complex cultural space actually provided by libraries. Libraries do not only have data spaces but also made education space, performance space, exhibition space, rest space, community space and experience space available for users. Users were found to more frequently use exhibition space, performance space, rest space and education space among other spaces whereas the utilization rate of community space and experience space was identified to be significantly low. Second, this study also compared to see if there is a difference between users' preference for the type of programs operated by library's complex cultural spaces and the actual programs offered. The comparison of perceived differences between librarians who are the operators of the programs and users who participate in the programs is to compare and improve the consistency of supply and demand. As a result, it was found that the supply and demand for educational programs were most consistent, which would lead to higher participation rate and enhanced operational performance and satisfaction with libraries. Lastly, investigations were carried out to see whether there is a difference in the levels of importance and satisfaction for the operation of complex cultural spaces and perceptional difference between libraries and users. Comprehensively analyzing the results, in the first quadrant of “Keep the Good Work,” librarians showed a higher level of perception compared to users. In particular, librarians were found to have a different perception towards programs (contents) compared to users. Based on such results, a systematic program must be considered when planning for library programs in order to increase uses' satisfaction. In addition, in the second quadrant of “Concentrate Here,” with a high importance and low satisfaction, users showed a high level of importance for programs (contents) whereas libraries identified accessibility as a more important factor, indicating a big perceptional difference between users and librarians. This study examines the differences between the opinions of operators who create complex cultural spaces and operate programs in the spaces and the opinions of users who participate in the spaces and programs, and it was found that no other studies in Korea and overseas have done the same yet. In addition, it carries a significant meaning in that it does not only investigate the perceptions towards importance and satisfaction, but also suggests improvement directions based on the perceptional differences between users and librarians. In other words, librarians who implement policies at actual sites seem to be able to reflect the results of this study and decide the operation direction of the library. Users also participate in various services and programs that library's complex cultural spaces offer and enjoy their cultural life. It carries a significant meaning in that the study evaluates the importance-satisfaction of factors affecting the use of complex cultural spaces of libraries by examining perceptions of those users who actually have the experience of using library's complex cultural spaces when the number of libraries attempting to transform into a multicultural space increases. The study made an attempt to enrich the knowledge and understanding of users' visit/use of libraries, suggest improvement directions and factors to focus. Continuous efforts and additional studies must be made in order to vitalize library's complex cultural spaces and secure the position of a cultural facility as well as a communication space located at the heart of regional society.
      Citation: Library Hi Tech
      PubDate: 2021-11-11
      DOI: 10.1108/LHT-06-2020-0135
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Social media emergency information assessment of major emergencies: a case
           study of additional emotional characteristics

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      Authors: Chunnian Liu , Qi Tian , Xiaogang Zhu
      Abstract: This study aimed to analyze existing problems in the dissemination and management of emergency information on social media platforms, improve social media users' experience regarding such information, increase the efficiency of emergency information dissemination and curb the spread of misinformation. In this study, the emergency information quality on social media platforms was examined. Based on the evaluation principles of the quality of mature information, social media information characteristics and the rules of emergency information dissemination, combined with relevant academic research results, an index to evaluate the quality of emergency information on social media was constructed. In addition, the authors have introduced cloud theory as an information quality evaluation method and used social media users' emotional characteristics to assess information quality evaluation results. A comprehensive system for evaluating emergency information quality, including indexes, methods and detection strategies was established. Based on a comprehensive system, a case study was conducted on the forest fires in Sichuan Province and the African swine fever events as reported on the Zhihu platform. In accordance with the results of the case study, the authors expanded the research and introduced the emotional characteristics of social media users as an independent evaluation dimension to evaluate the quality of emergency information on social media. The comprehensive system's effectiveness was verified through the case study. Further, it was found that users' emotional characteristics (reflected in their information behavior) are inconsistent with their evaluation of websites' information quality regarding major emergencies. Integrating users' emotional characteristics into the information evaluation system can enhance its effectiveness following major emergencies. First, an evaluation index system of emergency information quality on social media about major emergencies was offered. Unlike the commonly available index system for information quality evaluation, this proposed evaluation index system not only accounted for the characteristics of social media, such as massive disordered information, multiple information sources and rapid dissemination, but also for the characteristics of emergency events, such as variability and the absence of precursors. This proposed evaluation index system enhances the pertinence of the information quality evaluation and compensates for the shortcoming that the current research only focuses on evaluating social media information quality in a broad context, but pays insufficient attention to major emergencies. Second, cloud theory was introduced as a method to evaluate the emergency information quality found on social media. Existing research has primarily included the use of traditional statistical methods, which cannot transform numerical values into qualitative concepts effectively. Various indeterminate factors inevitably affect the quality of emergency information on social media platforms, and the traditional methods cannot eliminate this uncertainty in the evaluation process. The method to assess emergency information quality based on cloud theory can effectively compensate for the gaps in the research and improve the accuracy of information quality assessment. Third, the inspection and the dynamic adjustment of assessment results are absent in the research on information quality assessment, and the research has relied principally on the information users' evaluation and has paid insufficient attention to their attitudes and behaviors toward information. Therefore, the authors incorporated users' emotional characteristics into the evaluation of emergency information quality on social media and used them to test the evaluation results so that the results of the information quality assessment not only include the users' explicit attitudes but also their implicit attitudes. This enhances the effectiveness of the information quality assessment system. Finally, through this case study, it was found that an inconsistency exists between user evaluation and user emotional characteristics after major emergencies. The reasons for this phenomenon were explained, and the necessity of integrating user emotional characteristics into information quality assessment was demonstrated. Based on this, the users' emotional characteristics were used as a separate evaluation dimension for assessing the quality of emergency information on social media. Compared with assessing the quality of general information, integrating the user's emotional characteristics into the evaluation index system can lead the evaluation results to include not only the users' cognitive evaluation but also their emotional experience, further enhancing their adaptability.
      Citation: Library Hi Tech
      PubDate: 2021-11-11
      DOI: 10.1108/LHT-08-2021-0288
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Local food research: a bibliometric review using Citespace II
           (1970–2020)

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      Authors: Ayşe Şahin , Gökhan Yılmaz
      Abstract: In recent years, one of the most important and active research areas has been local food. This study aims to examine the evolution and trends of local food research in several disciplines or fields in the 50 years, highlighting emerging research themes, collaborations such as authors, institutions, journals and co-citations such as documents, authors and journals. A total of 869 local food-related articles from the Web of Science (WoS) database from 1970 to 2020 were analyzed by several bibliometric analyses using CiteSpace II software. The findings indicate that the number of studies in the local food field has increased rapidly and it is an interdisciplinary subject. Moreover, the results indicate that there is partly collaboration among authors, institutions or countries that conduct research on local food. For example, the most productive authors in this field are in USA, India, Brazil and European countries. Another remarkable result of this study is that tourism and hospitality discipline has focused on local food subject, especially in the last five years. This is one of the first attempts by using network analysis to directly understand and visualize the interrelated structures of the local food research. Furthermore, the results of this study may provide researchers a reference guide to better evaluate and monitor local food research.
      Citation: Library Hi Tech
      PubDate: 2021-11-09
      DOI: 10.1108/LHT-07-2021-0227
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Infoecology of the deep learning and smart manufacturing: thematic and
           concept interactions

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      Authors: Asefeh Asemi , Andrea Ko , Adeleh Asemi
      Abstract: This infecological study mainly aimed to know the thematic and conceptual relationship in published papers in deep learning (DL) and smart manufacturing (SM). The research methodology has specific research objectives based on the type and method of research, data analysis tools. In general, description methods are applied by Web of Science (WoS) analysis tools and Voyant tools as a web-based reading and analysis environment for digital texts. The Yewno tool is applied to draw a knowledge map to show the concept's interaction between DL and SM. The knowledge map of DL and SM concepts shows that there are currently few concepts interacting with each other, while the rapid growth of technology and the needs of today's society have revealed the need to use more and more DL in SM. The results of this study can provide a coherent and well-mapped road map to the main policymakers of the field of research in DL and SM, through the study of coexistence and interactions of the thematic categories with other thematic areas. In this way, they can design more effective guidelines and strategies to solve the problems of researchers in conducting their studies and direct. The analysis results demonstrated that the information ecosystem of DL and SM studies dynamically developed over time. The continuous conduction flow of scientific studies in this field brought continuous changes into the infoecology of subjects and concepts in this area. The paper investigated the thematic interaction of the scientific productions in DL and SM and discussed possible implications. We used of the variety tools and techniques to draw our own perspective. Also, we drew arguments from other research work to back up our findings.
      Citation: Library Hi Tech
      PubDate: 2021-11-09
      DOI: 10.1108/LHT-08-2021-0252
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Effects of LEGO robotic on freshmen students' computational thinking and
           programming learning attitudes in Taiwan

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      Authors: Cathy Weng , Isaac Manyonge Matere , Chih-Hsien Hsia , Mei-Yen Wang , Apollo Weng
      Abstract: Advancements in technology require that everyone is skilled with computational thinking (CT), problem-solving and computer programming skills. This study aims to examine the development of CT in problem-solving skills (PSS) and programming learning attitude by integrating LEGO robotics kits in a project-based learning course. This study examines the development of CT in PSS and programming learning attitude by integrating LEGO robotics kits in a project-based learning course. This study consists of a single group pre-post-test research design with 32 freshmen university students. Quantitative and qualitative data were collected by pre-post-tests and recording of classroom discussions, respectively. Therefore, this finding implies that robotics can be used to develop CT in university students; however, there is a need for designing curricula with advanced robotic kits as artificial intelligence (AI) has become more prevalent. Hence, programming knowledge learned will help students to understand the application of robots in AI. The study creates educators' awareness that CT skills might be developed in freshmen university students through robotics. However, many still consider them toys rather than learning aids.
      Citation: Library Hi Tech
      PubDate: 2021-10-19
      DOI: 10.1108/LHT-01-2021-0027
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Factors fostering the success of IoT services in academic libraries: a
           study built to enhance the library performance

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      Authors: Asad Ullah Khan , Zhiqiang Zhang , Sohail Raza Chohan , Wajid Rafique
      Abstract: In the modern era, libraries confront significant service challenges. Some challenges are linked to information resource management which includes direct availability of information for immediate decision making. The Internet of Things (IoT) is a recent technological shift that library personnel should be aware of because it has the potential to enhance information resource management. The purpose of the research is to highlight the willingness to adopt IoT technology in libraries. This study uses a quantitative research design in which a survey of public sector universities in Nanjing, China, is conducted to investigate the determinants of IoT adoption intention in libraries. A total of 389 responses were captured from experienced library personnel. The literature on technology adoption is then used to formulate quantitative theories. For data analysis, partial least squares structural equation modeling using SmartPLS. The research highlights the various success factors which support the IoT service adoption process. It is concluded that IoT augmented services in academic libraries must be supported through robust management practices and effective utilization of technological resources. Many libraries have made substantial modifications to their structure in terms of technology and design to satisfy the demands of patrons. This is an empirical paper that looks at IoT adoption intention in libraries using a quantitative approach through surveying library personnel. The library personnel can aid in the understanding of the motivations behind technology adoption in libraries, particularly of IoT services that may bring about advances in the libraries' capability to provide information access services.
      Citation: Library Hi Tech
      PubDate: 2021-10-18
      DOI: 10.1108/LHT-06-2021-0179
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Synergistic networks of COVID-19’s top papers

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      Authors: Nosrat Riahinia , Farshid Danesh , Somayeh GhaviDel
      Abstract: Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles. The synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks. The findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles. In a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.
      Citation: Library Hi Tech
      PubDate: 2021-10-15
      DOI: 10.1108/LHT-08-2021-0286
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Wearable IoT intelligent recommender framework for a smarter healthcare
           approach

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      Authors: Mona Bokharaei Nia , Mohammadali Afshar Kazemi , Changiz Valmohammadi , Ghanbar Abbaspour
      Abstract: The increase in the number of healthcare wearable (Internet of Things) IoT options is making it difficult for individuals, healthcare experts and physicians to find the right smart device that best matches their requirements or treatments. The purpose of this research is to propose a framework for a recommender system to advise on the best device for the patient using machine learning algorithms and social media sentiment analysis. This approach will provide great value for patients, doctors, medical centers, and hospitals to enable them to provide the best advice and guidance in allocating the device for that particular time in the treatment process. This data-driven approach comprises multiple stages that lead to classifying the diseases that a patient is currently facing or is at risk of facing by using and comparing the results of various machine learning algorithms. Hereupon, the proposed recommender framework aggregates the specifications of wearable IoT devices along with the image of the wearable product, which is the extracted user perception shared on social media after applying sentiment analysis. Lastly, a proposed computation with the use of a genetic algorithm was used to compute all the collected data and to recommend the wearable IoT device recommendation for a patient. The proposed conceptual framework illustrates how health record data, diseases, wearable devices, social media sentiment analysis and machine learning algorithms are interrelated to recommend the relevant wearable IoT devices for each patient. With the consultation of 15 physicians, each a specialist in their area, the proof-of-concept implementation result shows an accuracy rate of up to 95% using 17 settings of machine learning algorithms over multiple disease-detection stages. Social media sentiment analysis was computed at 76% accuracy. To reach the final optimized result for each patient, the proposed formula using a Genetic Algorithm has been tested and its results presented. The research data were limited to recommendations for the best wearable devices for five types of patient diseases. The authors could not compare the results of this research with other studies because of the novelty of the proposed framework and, as such, the lack of available relevant research. The emerging trend of wearable IoT devices is having a significant impact on the lifestyle of people. The interest in healthcare and well-being is a major driver of this growth. This framework can help in accelerating the transformation of smart hospitals and can assist doctors in finding and suggesting the right wearable IoT for their patients smartly and efficiently during treatment for various diseases. Furthermore, wearable device manufacturers can also use the outcome of the proposed platform to develop personalized wearable devices for patients in the future. In this study, by considering patient health, disease-detection algorithm, wearable and IoT social media sentiment analysis, and healthcare wearable device dataset, we were able to propose and test a framework for the intelligent recommendation of wearable and IoT devices helping healthcare professionals and patients find wearable devices with a better understanding of their demands and experiences.
      Citation: Library Hi Tech
      PubDate: 2021-10-14
      DOI: 10.1108/LHT-04-2021-0151
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • User perceptions, academic library usage and social capital: a correlation
           analysis under COVID-19 after library renovation

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      Authors: Tin Nok Leung , Dickson K.W. Chiu , Kevin K.W. Ho , Canon K.L. Luk
      Abstract: While the library has remained a preferred place of learning and received a positive perception in all aspects, the current space planning, as categorized in the “four-space model,” does not seem to address user needs well. The purpose of this article is to explore the correlations of user perceptions, academic library usage and social capital. This research presented a new approach to understanding the academic library's role by surveying 120 users about their preferred place on the campus, actual usage, and perceptions of the library physically and remotely. Correlation analysis between library use and user activities was performed. The findings indicate that the library demonstrates attributes from all four levels in the learning space hierarchy, providing an ideal learning space for students. However, our results do not support academic libraries as the breeding ground of social capital. As the data of this study were collected during the COVID-19 pandemic period, the findings may provide us with insights on how library users have adjusted themselves in using these public facilities with social distancing in their minds. The findings also provide implications for re-designing the library places to meet the users' needs and make it favorable learning commons to students in both the pandemic and post-pandemic eras.
      Citation: Library Hi Tech
      PubDate: 2021-10-12
      DOI: 10.1108/LHT-04-2021-0122
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Public perception of COVID-19 vaccines from the digital footprints left on
           Twitter: analyzing , and sentiments of Twitterati

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      Authors: Aasif Ahmad Mir , Sevukan Rathinam , Sumeer Gul
      Abstract: Twitter is gaining popularity as a microblogging and social networking service to discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global pandemic and is discussed worldwide. Social media is an instant platform to deliberate various dimensions of COVID-19. The purpose of the study is to explore and analyze the public sentiments related to COVID-19 vaccines across the Twitter messages (positive, neutral, and negative) and the impact tweets make across digital social circles. To fetch the vaccine-related posts, a manual examination of randomly selected 500 tweets was carried out to identify the popular hashtags relevant to the vaccine conversation. It was found that the hashtags “covid19vaccine” and “coronavirusvaccine” were the two popular hashtags used to discuss the communications related to COVID-19 vaccines. 23,575 global tweets available in public domain were retrieved through “Twitter Application Programming Interface” (API), using “Orange Software”, an open-source machine learning, data visualization and data mining toolkit. The study was confined to the tweets posted in English language only. The default data cleaning and preprocessing techniques available in the “Orange Software” were applied to the dataset, which include “transformation”, “tokenization” and “filtering”. The “Valence Aware Dictionary for sEntiment Reasoning” (VADER) tool was used for classification of tweets to determine the tweet sentiments (positive, neutral and negative) as well as the degree of sentiments (compound score also known as sentiment score). To assess the influence/impact of tweets account wise (verified and unverified) and sentiment wise (positive, neutral, and negative), the retweets and likes, which offer a sort of reward or acknowledgment of tweets, were used. A gradual decline in the number of tweets over the time is observed. Majority (11,205; 47.52%) of tweets express positive sentiments, followed by neutral (7,948; 33.71%) and negative sentiments (4,422; 18.75%), respectively. The study also signifies a substantial difference between the impact of tweets tweeted by verified and unverified users. The tweets related to verified users have a higher impact both in terms of retweets (65.91%) and likes (84.62%) compared to the tweets tweeted by unverified users. Tweets expressing positive sentiments have the highest impact both in terms of likes (mean = 10.48) and retweets (mean = 3.07) compared to those that express neutral or negative sentiments. The main limitation of the study is that the sentiments of the people expressed over one single social platform, that is, Twitter have been studied which cannot generalize the global public perceptions. There can be a variation in the results when the datasets from other social media platforms will be studied. The study will help to know the people's sentiments and beliefs toward the COVID-19 vaccines. Sentiments that people hold about the COVID-19 vaccines are studied, which will help health policymakers understand the polarity (positive, negative, and neutral) of the tweets and thus see the public reaction and reflect the types of information people are exposed to about vaccines. The study can aid the health sectors to intensify positive messages and eliminate negative messages for an enhanced vaccination uptake. The research can also help design more operative vaccine-advocating communication by customizing messages using the obtained knowledge from the sentiments and opinions about the vaccines. The paper focuses on an essential aspect of COVID-19 vaccines and how people express themselves (positively, neutrally and negatively) on Twitter.
      Citation: Library Hi Tech
      PubDate: 2021-10-12
      DOI: 10.1108/LHT-08-2021-0261
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Investigating the citation advantage of author-pays charges model in
           computer science research: a case study of Elsevier and Springer

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      Authors: Tehmina Amjad , Mehwish Sabir , Azra Shamim , Masooma Amjad , Ali Daud
      Abstract: Citation is an important measure of quality, and it plays a vital role in evaluating scientific research. However, citation advantage varies from discipline to discipline, subject to subject and topic to topic. This study aims to compare the citation advantage of open access and toll access articles from four subfields of computer science. This research studies the articles published by two prestigious publishers: Springer and Elsevier in the author-pays charges model from 2011 to 2015. For experimentation, four sub-domains of computer science are selected including (a) artificial intelligence, (b) human–computer interaction, (c) computer vision and graphics, and (d) software engineering. The open-access and toll-based citation advantage is studied and analyzed at the micro level within the computer science domain by performing independent sample t-tests. The results of the study highlight that open access articles have a higher citation advantage as compared to toll access articles across years and sub-domains. Further, an increase in open access articles has been observed from 2011 to 2015. The findings of the study show that the citation advantage of open access articles varies among different sub-domains of a subject. The study contributed to the body of knowledge by validating the positive movement toward open access articles in the field of computer science and its sub-domains. Further, this work added the success of the author-pays charges model in terms of citation advantage to the literature of open access. To the best of the authors’ knowledge, this is the first study to examine the citation advantage of the author-pays charges model at a subject level (computer science) along with four sub-domains of computer science.
      Citation: Library Hi Tech
      PubDate: 2021-10-11
      DOI: 10.1108/LHT-05-2021-0154
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Perceived benefits and post-adoption usage of education management
           information system

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      Authors: Gjoko Stamenkov , Rezarta Zhaku-Hani
      Abstract: The purpose of this research is to explore and explain education management information system (EMIS) post-adoption in the context of mandatory settings, focusing on perceived benefits and individual and institutional post-adoption usage. To fulfill the research objectives, the study proposes a conceptual model grounded in the technology acceptance model (TAM) and the technology-organization-environment (TOE) framework. Data for model validation were obtained via a questionnaire and were collected from 144 teachers in public primary schools in the Republic of North Macedonia. For statistical analysis, PLS-SEM was used. Based on the conducted statistical analysis, it is found that in mandatory environments, perceived ease of use, perceived usefulness, compatibility, complexity and governmental support are the factors that have indirect effects on the post-adoption usage, and only the factors, technological knowledge and external information and communication technology (ICT) support, have direct effects on the post-adoption usage. The individual post-adoption usage in mandatory settings depends on whether benefits are perceived in the course of EMIS usage; they become a central factor due to the accumulated knowledge and experience. The main contribution of this study is to theoretically and empirically discover the most important factors that influence EMIS post-adoption usage. Perceived benefits are considered as external factors to the TOE framework and mediate the effect of TAM-TOE factors on individual post-adoption usage.
      Citation: Library Hi Tech
      PubDate: 2021-09-29
      DOI: 10.1108/LHT-06-2021-0185
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A comprehensive study to the protection of digital library readers'
           privacy under an untrusted network environment

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      Authors: Zongda Wu , Shigen Shen , Huxiong Li , Haiping Zhou , Dongdong Zou
      Abstract: First, the authors analyze the key problems faced by the protection of digital library readers' data privacy and behavior privacy. Second, the authors introduce the characteristics of all kinds of existing approaches to privacy protection and their application limitations in the protection of readers' data privacy and behavior privacy. Lastly, the authors compare the advantages and disadvantages of each kind of existing approaches in terms of security, efficiency, accuracy and practicality and analyze the challenges faced by the protection of digital library reader privacy. In this paper, the authors review a number of research achievements relevant to privacy protection and analyze and evaluate the application limitations of them in the reader privacy protection of a digital library, consequently, establishing the constraints that an ideal approach to library reader privacy protection should meet, so as to provide references for the follow-up research of the problem. As a result, the authors conclude that an ideal approach to reader privacy protection should be able to comprehensively improve the security of all kinds of readers' privacy information on the untrusted server-side as a whole, under the premise of not changing the architecture, efficiency, accuracy and practicality of a digital library system. Along with the rapid development of new network technologies, such as cloud computing, the server-side of a digital library is becoming more and more untrustworthy, thereby, posing a serious threat to the privacy of library readers. In fact, the problem of reader privacy has become one of the important obstacles to the further development and application of digital libraries.
      Citation: Library Hi Tech
      PubDate: 2021-09-29
      DOI: 10.1108/LHT-07-2021-0239
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Motivations of choosing archival studies as major in the iSchools:
           viewpoint between two universities across the Pacific Ocean

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      Authors: Tracy Chui Wan Ng , Dickson K.W. Chiu , KIng Kwan Li
      Abstract: This study explores the learning and career motivation of the students who have chosen archival studies as their major in their master's degree programs, which has scant prior research. The authors use a qualitative interview method to investigate the students' opinions and underlying reasons. Nine students from the University of Hong Kong (HKU) and University of British Columbia (UBC), both members of the iSchools, were interviewed. Considering the responses and research questions, the authors applied content analysis techniques to summarize data gathering from interviews into five themes to better interpret the meanings behind them. Despite different development stages of archives sectors in Hong Kong and Canada, the learning and career motivation factors of these students from both universities share some similar characteristics and can also be divided into intrinsic factors (such as personal interests, personalities) and extrinsic factors (such as prior working experience, working environment, nature of archives work and development of the archives field). Both intrinsic and extrinsic factors significantly influenced them in choosing archival studies as major in their graduate studies. These findings can help educators and professions review and improve the curricula as well as promote the profession to the public and attract more people to pursue their studies in the archives field. Scant studies discussed the career development and education motivation of archivists, especially related to Asia.
      Citation: Library Hi Tech
      PubDate: 2021-09-23
      DOI: 10.1108/LHT-07-2021-0230
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Black articles matter: exploring relative deprivation and implicit bias in
           library and information science research publications of Africa and other
           continents

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      Authors: Tochukwu Victor Nwankwo , Rosemary Anwuli Odiachi , Ifeanyi A. Anene
      Abstract: The purpose of this paper is to explore relative deprivation and implicit bias in library and information science research publications of Africa and other continents. Research design used for this study is descriptive survey research. Specifically, the study will adopt both web content analysis and survey to collect data. The content analysis covers the whole continents of the world: Africa, Asia, Eastern Europe, Latin America, Middle East, Northern America, Pacific Region and Western Europe; using the Webometrics World Ranking of Universities and the SCImago/Scopus Journal Ranking. Library and information science was used as the search and control parameter. The scopes covered by the research are: 1. Ascertaining the visible publishing and assessment standards of top library and information science (LIS) journals, which was evaluated using Kleinert and Wager (2010)'s study. It was found out among others that editors making fair and unbiased decisions as policy is seen in 33% of the journals, which is very poor. All the structural disparities, such as presence ranking, impact ranking, excellence ranking, etc. were favouring Europe and the Americas mainly. As much as rejection is getting to these respondents, research generally is also suffering by missing out on some untapped knowledge and ideas from these deprived populations. Many authors are losing faith in their capabilities and are now afraid of venturing into tedious research exercises because it will most likely be rejected either ways. It is an established fact that social media gains research impact and attracts international collaborations. In support, studies such as Hassan et al. (2019) reported the fact that tweet mentions of articles with positive sentiment to more visibility and citations. They claim that cited articles in either positive or neutral tweets have a more significant impact than those not cited at all or cited in negative tweets. In addition, Hassan et al. (2020) equally highlighted tweet coupling as a social media methodology useful for clustering scientific publications. Despite the fact that social media have these influences on research and publications visibility and presence, the context of the present research did cover this scope of study. The study focused mainly on sources from Scopus as well as results from responses. Further studies can be carried out on this area. Research studies linking “Black Articles Matter” to relative deprivation and implicit bias in research publications, especially in library and information discipline, are very rare. Also, the scope of approach of the study is quite different and interesting.
      Citation: Library Hi Tech
      PubDate: 2021-09-22
      DOI: 10.1108/LHT-05-2021-0164
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • No one left behind: risk communication to the street vendors during
           COVID-19 social distancing

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      Authors: Pham Tien Thanh , Hanh Thi Hong Nguyen , Le Thi Bao Ngan , Doan My Duyen Nguyen , Gia Han Phan , Thi My Nhung Nguyen
      Abstract: COVID-19 presents a serious and unprecedented challenge around the globe. Street vendors are the most vulnerable group during this pandemic regarding livelihood loss and contagion risk. This research aims to examine the roles of risk communication work in enhancing COVID-19 risk perceptions and adoption of COVID-19 preventive behaviors among street vendors. The data were collected from the street vendors in urban Vietnam. A binary probit model was used for analyzing the relationships among exposure to risk communication, risk perception and adoption of preventive behaviors. The analysis reveals the outreach of risk communication work to the street vendors. A rather large proportion of the respondents perceive high risks associated with COVID-19. All respondents adopt COVID-19 preventive behaviors; however, the proportion of regular adoption is moderate and even very low for most behaviors. Their frequent exposure to risk communication significantly raises their risk perceptions and encourages their regular adoption of preventive behaviors, particularly regarding the measures that are affordable and less detrimental to their livelihood. This research is among the first attempts to examine risk communication to the vulnerable group, how they perceive risks and the extent to which they adopt preventive behaviors during a public health crisis. This research draws some implications for risk communication and social welfare policies to obtain sustainable development goals.
      Citation: Library Hi Tech
      PubDate: 2021-09-21
      DOI: 10.1108/LHT-03-2021-0100
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Library café or elsewhere: usage of study space by different majors under
           contemporary technological environment

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      Authors: Jiafeng Zhou , Ernest Lam , Cheuk Hang Au , Patrick Lo , Dickson K.W. Chiu
      Abstract: As current university students may access information for their study anytime, anywhere with ubiquitous mobile technologies, this research re-examines the roles of study space in students' learning and campus life. A survey was conducted to collect students' opinions and habits regarding the usage of different study spaces. Results in three different academic majors (science and engineering, arts and business) of a comprehensive international university were compared. The authors’ findings showed a more diversified space usage among students, with the library café increasingly important in students' learning and life while learning commons remain important. However, there were only minor differences among these three study majors towards the learning and entertaining spaces, as these students generally apply inquiry-based learning. While some researches have investigated students' usage of university and library learning spaces, few studies have focused on the study space issue in Hong Kong or other metropolises in the East under the current mobile learning environment. This study's insights could help libraries and universities improve the management of their physical spaces to meet student needs.
      Citation: Library Hi Tech
      PubDate: 2021-09-20
      DOI: 10.1108/LHT-03-2021-0103
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The aftermath of COVID-19 pandemic period: barriers in implementation of
           social distancing at workplace

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      Authors: Kashif Abbass , Abdul Aziz Khan Niazi , Tehmina Fiaz Qazi , Abdul Basit , Huaming Song
      Abstract: The study aims to investigate the barriers in implementing social distancing at the workplace as an aftermath of the COVID-19 pandemic period. Study design consists of a review of literature, data collection and analysis. It encompasses identification, verification and analysis of the relationships among the barriers. Data have been collected from a panel of experts on matrix-type questionnaires from workplaces. Interpretive structural modeling (ISM) augmented with “Matrice d' Impacts Croise's Multiplication Appliquée a UN Classement (Cross Impact Matrix Multiplication Applied to Classification)” (MICMAC) for structural analysis. The literature has identified twenty major barriers to implementing social distancing at the workplace. The research findings reveal/show that the barrier “matter of disrespect” occupies the bottom level in the ISM model. Therefore, it is the most critical barrier; whereas, employees with disabilities and “herding culture” are crucial as they occupy the next lowest level, therefore, are crucial. Moreover, there are ten barriers positioned in the middle of the model having moderate-severe effects, and seven falls on the top level of the model having relatively less severe effects. Results of MICMAC affirm and avow the results of ISM. The study will have profound theoretical and practical implications for stakeholders since it provides lot of new useful and valuable information, gives relational insights and determines priorities subject to usual limitations of survey research. It is an original attempt to make some sense of practicability of social distancing for stakeholders including policymakers, frontline health workers and public at large.
      Citation: Library Hi Tech
      PubDate: 2021-09-20
      DOI: 10.1108/LHT-03-2021-0113
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Mapping coronavirus research: quantitative and visualization approaches

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      Authors: Fayaz Ahmad Loan , Ufaira Yaseen Shah
      Abstract: The present study aims to measure the global research landscape on coronavirus indexed in the Web of Science from 1989 to 2020. The study examines growth rates, authorship trends, institutional productivity, collaborative networks and prominent authors, institutions and countries. The research literature on coronavirus published globally and indexed in the Web of Science core collection was retrieved using the term “Coronavirus” and its related and synonymous terms (e.g. COVID-19, SARS-COV, SARS-COV-2 and severe acute respiratory syndrome coronavirus) as per the Medical List of Subject Headings. A total of 5,625 publications were retrieved; however, the study was restricted to articles only (i.e. 4,471), and other document types were excluded. Quantitative and visualization techniques were used for data analysis and interpretation. VOSViewer software was employed to map collaborative networks of authors, institutions and countries. A total of 4,471 articles have been published on coronavirus by 99 countries of the world with the maximum contribution from the USA, followed by the People's Republic of China. The United States, China, Canada, Netherlands and Germany are the front runners in the collaborative network and form strong sub-networks with other countries as well. More than 1,000 institutions collaborate in the field of coronavirus research among 99 contributing countries. The authorship pattern shows that 97.5% of publications are contributed by authors in collaboration in which 77.5% of publications are contributed by four or more than four authors. The range between degree of collaboration (DC) varies from 0.89 in 1993 to 1 in 2000 with an average of 0.96 from 1989 to 2020. The results confirm that the coronavirus research is carried out in teamwork at the individual, institutional and global levels with high magnitude and density of collaboration. The relative growth of the literature has shown inconsistency as a decreasing trend has been observed from 2007 onwards, thereby increasing the doubling time from 4.2 in the first ten years to 17.3 in the last ten years. The study is limited to the publications indexed in the Web of Science; the findings cannot be generalized across other databases. The results of the study may help medical scientists to identify the progress in COVID-19 research. Besdies, it will help to identify the prolific authors, institutions and countries in the development of research. The current COVID-19 pandemic poses urgent and prolonged threats to the health and well-being of the population worldwide. It has not only attacked the health of the people but the economy of nations as well. Therefore, it is feasible to know the research landscape of the disease to conquer the problem. The current COVID-19 pandemic poses urgent and prolonged threats to the health and well-being of the population worldwide. It has not only attacked the health of the people but also the economy of nations as well. Therefore, it is feasible to know the research landscape of the disease to conquer the problem.
      Citation: Library Hi Tech
      PubDate: 2021-09-20
      DOI: 10.1108/LHT-12-2020-0312
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The characteristics of knowledge diffusion of library and information
           science – from the perspective of citation

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      Authors: Jingda Ding , Chao Liu , Yiqing Yuan
      Abstract: This paper aims to explore the characteristics of knowledge diffusion of library and information science to reveal its development trend and influence on other disciplines. Based on the ESI discipline classification, this paper measures the knowledge diffusion from the library and information science to other disciplines over the last 24 years using indicators in four dimensions: breadth, intensity, speed and theme of knowledge diffusion. The results show that the knowledge diffusion breadth of library and information science is wide, spreading to 21 ESI disciplines; the knowledge spread mainly concentrates in four soft or applied disciplines, and yet partially inter-disciplinary, and the knowledge diffusion intensity to each ESI discipline is parabolic whose highest point is mostly in 2004–2005; the speed of spreading to the 21 ESI disciplines is faster and faster, and the articles at the highest speed of knowledge diffusion are basically published after 2005; the knowledge diffusion themes are becoming increasingly diverse, deepening and specialization over time. This paper modifies the relevant indicators of knowledge diffusion and constructs a measurement framework of knowledge diffusion from four aspects: breadth, intensity, speed and theme. The research method can also be used to explore the characteristics of knowledge absorption of a discipline from other ones.
      Citation: Library Hi Tech
      PubDate: 2021-09-15
      DOI: 10.1108/LHT-01-2021-0016
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Do authors play fair or manipulate Google Scholar h-index'

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      Authors: Fayaz Ahmad Loan , Nahida Nasreen , Bisma Bashir
      Abstract: The study's main purpose is to scrutinize Google Scholar profiles and find the answer to the question, “Do authors play fair or manipulate Google Scholar Bibliometric Indicators like h-index and i10-index'” The authors scrutinized the Google Scholar profiles of the top 50 library and science researchers claiming authorship of 21,022 publications. The bibliographic information of all the 21,022 publications like authorship and subject details were verified to identify accuracy, discrepancies and manipulation in their authorship claims. The actual and fabricated entries of all the authors along with their citations were recorded in the Microsoft Office Excel 2007 for further analyses and interpretation using simple arithmetic calculations. The results show that the h-index of authors obtained from the Google Scholar should not be approved at its face value as the variations exist in the publication count and citations, which ultimately affect their h-index and i10 index. The results reveal that the majority of the authors have variations in publication count (58%), citations (58%), h-index (42%) and i10-index (54%). The magnitude of variation in the number of publications, citations, h-index and i10-index is very high, especially for the top-ranked authors. The scope of the study is strictly restricted to the faculty members of library and information science and cannot be generalized across disciplines. Further, the scope of the study is limited to Google Scholar and caution needs to be taken to extend results to other databases like Web of Science and Scopus. The study has practical implications for authors, publishers, and academic institutions.
      Authors must stop the unethical research practices; publishers must adopt techniques to overcome the problem and academic institutions need to take precautions before hiring, recruiting, promoting and allocating resources to the candidates on the face value of the Google Scholar h-index. Besides, Google needs to work on the weak areas of Google Scholar to improve its efficacy. The study brings to light the new ways of manipulating bibliometric indicators like h-index, and i10-index provided by Google Scholar using false authorship claims.
      Citation: Library Hi Tech
      PubDate: 2021-09-14
      DOI: 10.1108/LHT-04-2021-0141
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Exploring individuals’ adoption of COVID-19 contact-tracing apps: a
           mixed-methods approach

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      Authors: Tin Trung Nguyen , Tony Cat Anh Hung Nguyen , Cong Duc Tran
      Abstract: During the challenging time of lockdown and isolation due to the coronavirus disease (COVID-19), contact-tracing apps have played a critical role in health communication and preventive healthcare. This study proposed and tested an extended technology acceptance model (TAM) with key health factors (i.e. health risk perception from COVID-19, health information orientation to COVID-19 and health consciousness) to understand individuals' adoption of COVID-19 contact-tracing apps. A two-stage online survey was conducted to collect data on US individuals’ intention and actual use of COVID-19 contact-tracing apps. The sample comprises 288 valid responses. Partial least squares structural equation modeling (PLS-SEM) and fuzzy set/qualitative comparative analysis (fsQCA) were employed as the complementary approaches. The findings from PLS-SEM revealed that health risk perception, health information orientation and perceived usefulness have positive net effects on behavioral intention, which, in turn, affects actual use. The results from fsQCA highlighted the explanatory power of the extended TAM to COVID-19 contact-tracing app adoption. Although TAM is considerably effective in measuring technology acceptance, the phenomenon is highly context-driven. How technological and health factors simultaneously motivate the use of contact-tracing apps has not been well documented. The present study offers some implications for practitioners concerned about fostering the adoption of mobile health services in the time of COVID-19. Methodologically, this study is among the first to blend PLS-SEM and fsQCA to measure the explanatory power of a structural model.
      Citation: Library Hi Tech
      PubDate: 2021-09-08
      DOI: 10.1108/LHT-06-2021-0180
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Identification methods and indicators of important patents

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      Authors: Hirokazu Yamada
      Abstract: This study aims to find technologically important patent identification methods and indicators early and efficiently to grasp the technical qualitative level of patents, which are output indicators of research and development (R&D) results. This paper reports on two methods for distinguishing important patents and the indicators obtained from those methods. One of the discrimination methods is Heckman's two-step estimation procedure. The second method is to find the centrality of each patent by network analysis of the citation relationship between publications and to find the importance from the magnitude of the centrality value. In Heckman's analysis, the number of citations within three years after publication and the applicant's right acquisition/maintenance motivation index had positive effects on patent importance. The discriminative indicators of important patents by network analysis were degree centrality, mediation centrality, proximity centrality and transit values in the aggregated subnetworks. These two analytical methods are in a relationship that can complement each other's shortcomings. To efficiently evaluate the qualitative importance of patents, it is recommended to use these two methods together. The indicators of important technical patents might change depending on the technical field. Future studies can apply this research to multiple technical fields to improve robustness and to construct an algorithm that can efficiently evaluate the quality of patents. This study's results can be useful for grasping the patent position of the company or competitors numerically and for quantitatively evaluating the quality of R&D activities. Furthermore, it is possible to streamline the routine for an exploratory search of a huge number of patents. For example, it could be useful for detecting changes in the paradigm of specific technical knowledge, evolving the genealogy of technical knowledge and creating patent maps for new R&D. These methods greatly increase the effectiveness of technical knowledge information, which is the basis of R&D. In addition, the results of this study can help in evaluating patented assets. This study confirmed the development process of technical knowledge. It is a fact that sharing, sympathy and mutual trust for technical issues and technical values are created among professional engineers and researchers inside and outside the organization, and their preferences and interactions develop and expand technical knowledge. Understanding the process of development and the evolution of this technical knowledge gives hints, such as expanding the discretionary power of engineers and researchers regarding corporate secrets, or reviewing the balance between control and independence, to solve Japanese management problems, which are often closed and monetized in R&D activities. This study presents a scoring of the technical significance of patents by combining the two analytical methods. In addition, there are proposals as a method for detecting changes in the genealogy and paradigm of technical knowledge. As an analysis method, it is a new proposal that has never existed before.
      Citation: Library Hi Tech
      PubDate: 2021-09-06
      DOI: 10.1108/LHT-04-2021-0152
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Measuring the funding landscape of COVID-19 research

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      Authors: Sheikh Shueb , Sumeer Gul , Nahida Tun Nisa , Taseen Shabir , Shafiq Ur Rehman , Aabid Hussain
      Abstract: The purpose of the study is to map the funding status of COVID-19 research. The various aspects, such as funding ratio, geographical distribution of funded articles, journals publishing funded research and institutions that sponsor the COVID-19 research are studied. To visualize the country collaboration network and research trends/hotspots in the field of COVID-19 funded research, keyword analysis is also performed. The open-access (OA) status of the funded research on COVID-19 is also discussed. The leading indexing and abstracting database, i.e. Web of Science (WoS), was used to retrieve the funded articles published on the topic COVID-19. The scientometric approach, more particularly “funding acknowledgment analysis (FAA),” was used to study the research funding. A total of 5,546 publications of varied nature have been published on COVID-19, of which 1,760 are funded, thus indicating a funding ratio of 32%. China is the leading producer of funded research (760, 43.182%) on COVID-19 followed by the USA (482, 27.386%), England (179, 10.17%), Italy (119, 6.761%), Germany (107, 6.08%) and Canada (107, 6.08%). China is also in lead in terms of the funding ratio (60.94%). However, the funding ratio of the USA (31.54%) is at 11th rank behind Canada (40.68%), Germany (34.18%) and England (35.87%). The USA occupies a central position in the collaboration network having the highest score of articles with other countries (n = 489), with the USA–China collaboration ranking first (n = 123). National Natural Science Foundation of China (NSFC) is the largest source of funding for COVID-19 research, supporting 342 (19.432%) publications, followed by the United States Department of Health Human Services (DHHS) and National Institute of Health (NIH), USA with 211 (11.989%) and 200 (11.364%) publications, respectively. However, China's National Key Research and Development Program achieves the highest citation impact (80.24) for its funded publications. Journal of Medical Virology, Science of the Total Environment and EuroSurveillance are the three most prolific journals publishing 63 (3.58%), 35 (1.989%) and 32 (1.818%), respectively, of the sponsored research articles on the COVID-19. A total of 3,138 institutions produce funded articles with Huazhong University of Science Technology and Wuhan University from China at the forefront publishing 92 (5.227%) and 83 (4.716%) publications, respectively. The funded research on COVID-19 is largely available in OA mode (1,674, 95.11%) and mainly through the Green and Bronze routes. The keyword clustering reveals that the articles mainly focus on the impact, structure and clinical characteristics of the virus. The study's main limitation is that the results are based on the publications indexed by WoS, which has limited coverage compared to other databases. Moreover, all the funding agencies do not require or authors miss to acknowledge funding sources in their publications, which ultimately undermines the number of funded publications. The research publications on COVID-19 are also proliferating; thus, the study's findings shall be valid for a minimum period. The funding of research on the COVID-19 is highly essential to accelerate innovative research and help countries fight against the global pandemic. The study's findings reflect the efforts made by nations and institutions to remove the financial and accessibility hurdles. It not only underscores the lead of the USA in the research on COVID-19, but also shows China as a forerunner in sponsoring the research, thus, helping to know the contribution of nations toward understanding the dynamics of pandemic and controlling it. The study will help healthcare practitioners and policymakers recognize the areas that remain the focus of sponsored research on COVID-19 and other left-out areas that need to be taken up and thus may help in policy formulation. It further highlights the impact of prolific funding agencies so that efforts may be initiated to increase the impact and thereby the returns of investment. The study can help to map the scientific structure of COVID-19 through the lens of funded research and recognize core inclinations of its development. Overall, a comprehensive analysis has been performed to present the detailed characteristics of sponsored research on emerging area of COVID-19, and it is informative, useful and one of its kind on the theme. The study explores the funding support of research on COVID-19 and its other aspects, along with the mode of availability.
      Citation: Library Hi Tech
      PubDate: 2021-08-31
      DOI: 10.1108/LHT-04-2021-0136
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A puncturable attribute-based data sharing scheme for the Internet of
           Medical Robotic Things

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      Authors: Sultan Basudan
      Abstract: In line with the fast development of information technology, the Internet of Medical Robotic Things (IoMRT) is gaining more ground in health care. Sharing patients' information effectively and securely can improve sensing data usage and confidentiality. Nevertheless, current IoMRT data sharing schemes are lacking in terms of supporting efficient forward secrecy; when secret key for a robotic nurse as a data requester is compromised, all the historically shared data with this robotic nurse will be leaked. The presented paper suggests an efficient puncturable attribute-based data sharing scheme enabling guaranteed firm security and versatile access control over health sensing data in IoMRT. This scheme integrates attribute-based and puncturable encryption to avail a shared secret key for data sharing that can be encrypted by an access structure over the Data Requester (DR) attributes. Additionally, the establishment of the shared key and the mutual authentication is simultaneously done between the cloud servers and DRs. The proposed scheme can achieve forward secrecy by adopting the bloom filter technique that efficiently helps the updating of a private key with no need for the key distributor to reissue the key. The security proof illustrates that this scheme adheres to the security model. Besides, the performance evaluation expresses the feasibility of the suggested scheme. The main goal of designing a puncture algorithm is to devise an updated key from the ciphertext and a secret key, allowing the decryption of all ciphertexts except the one that has been punctured on. This research illustrates the first effort to develop a puncturable attribute-based encryption scheme to achieve efficient finegrained data sharing in IoMRT.
      Citation: Library Hi Tech
      PubDate: 2021-08-31
      DOI: 10.1108/LHT-08-2021-0254
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A dependency-based machine learning approach to the identification of
           research topics: a case in COVID-19 studies

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      Authors: Haoran Zhu , Lei Lei
      Abstract: Previous research concerning automatic extraction of research topics mostly used rule-based or topic modeling methods, which were challenged due to the limited rules, the interpretability issue and the heavy dependence on human judgment. This study aims to address these issues with the proposal of a new method that integrates machine learning models with linguistic features for the identification of research topics. First, dependency relations were used to extract noun phrases from research article texts. Second, the extracted noun phrases were classified into topics and non-topics via machine learning models and linguistic and bibliometric features. Lastly, a trend analysis was performed to identify hot research topics, i.e. topics with increasing popularity. The new method was experimented on a large dataset of COVID-19 research articles and achieved satisfactory results in terms of f-measures, accuracy and AUC values. Hot topics of COVID-19 research were also detected based on the classification results. This study demonstrates that information retrieval methods can help researchers gain a better understanding of the latest trends in both COVID-19 and other research areas. The findings are significant to both researchers and policymakers.
      Citation: Library Hi Tech
      PubDate: 2021-08-24
      DOI: 10.1108/LHT-01-2021-0051
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • IoT as societal transformer: improving citizens' continuous usage
           intention in digital society through perceived public value

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      Authors: Sohail Raza Chohan , Guangwei Hu , Asad Ullah Khan , Ahmed Tisman Pasha , Fizzah Saleem , Muhammad Atif Sheikh
      Abstract: The public sector use of the internet of Things (IoT) technology is an emerging field with a potential for a variety of institutional applications in the fields of information gathering and policy implementation to establish resilience for modern society. In this context, we aim to investigate the success factors which can positively influence the continuous usage intention of IoT service with the mediation effect of perceived public value. A conceptual model based on the strong literature and theoretical background is tailored to provide factors for IoT services success in the public sector. A quantitative survey was conducted through 381 citizens using IoT services to validate the proposed conceptual model using structural equation modeling approach in order to examine the influence of identified constructs on the continuous usage intention. The results highlighted that the proposed model successfully accounted for about 59% perceived variance in public value creation and 63% perceived variance in citizens' continuous usage intention. IoT services success is best dignified by the perceptions of citizens who use the services, therefore, this study identifies the positive role of digital society affinity in context of social sustainability and it climaxes that the real value of IoT in public sector comes from establishment of services on top of the service delivery and that's where the public value is going to be created. The use of IoT technology in public services will fetch much benefit to the citizens as well as to the government. The study findings are significant in identifying good practices for generating public value in digital society affinity. The integrated conceptual model explores the driving factors of citizens' inclination towards IoT technology in a social context. Through this study, we can analyze the role of perceived public value in enhancing the citizens' engagement with IoT services. The government policymakers and ICT managers take help from this study to designing IoT public services with making the government more responsive to citizens.
      Citation: Library Hi Tech
      PubDate: 2021-08-24
      DOI: 10.1108/LHT-05-2021-0156
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Measuring reopening readiness: a universal COVID-19 index for US states

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      Authors: Eunju Suh , Mahdi Alhaery
      Abstract: While United States is among countries with the world’s highest coronavirus infections, its approaches and policies to reopen the economy vary by state. A lack of objective criteria and monitoring toward satisfying the criteria can lead to another COVID-19 outbreak and business closures. Considering the pressing need to return to normalcy without a rebound of COVID-19 infections and deaths, an index that provides a data-driven and objective insight is urgently needed. Hence, a method was devised to assess the severity of the COVID-19 pandemic and determine the degree of progress any state has made in containing the spread of COVID-19. Using measures such as the weekly averages of daily new deaths, ICU bed occupancy rates, positive cases and test positivity rates, two indexes were developed: COVID-19 reopening readiness and severity. A clear difference in the pandemic severity trends can be observed between states, which is possibly due to the disparity in the state’s response to coronavirus. A sharp upward trend in index values requires caution prior to moving to the next phase of reopening. The composite indexes advanced in this study will provide a universal, standardized and unbiased view of each state’s readiness to reopen and allow comparisons between states. This in turn can help governments and health-care agencies take counter measures if needed as to the anticipated demand for future health-care services and minimize adverse consequences of opening.
      Citation: Library Hi Tech
      PubDate: 2021-08-17
      DOI: 10.1108/LHT-03-2021-0115
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • We live in cloud computing world, without using it in our libraries

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      Authors: Maryam Loghmani Khozani , Hassan Behzadi , Mohsen Nowkarizi , Fatemeh Shafiee Neizar
      Abstract: The purpose of this study was to investigate the views of librarians in Iran academic libraries about the extent of their familiarity, application and knowledge of the cloud computing in libraries. This was a survey research. The statistical population of research consisted of librarians working in five universities in northeastern Iran. The sample (83 librarian) selected by using random sampling method. The findings showed that in 2019 librarians familiar with cloud computing was low, but their use of cloud computing services was moderate. Also the findings showed that the item of providing enough computers in the library had the lowest effect on promoting the use of cloud computing and the items. Cloud computing training for librarians and users and broadband Internet were best strategies offered by librarians to promote the use of cloud computing. Cloud computing has received less attention from librarians and researchers. However, based on the results of the present study, the broader use of cloud computing in libraries requires specialized and trained staff. Librarians need to broaden their knowledge in this technology.
      Citation: Library Hi Tech
      PubDate: 2021-08-16
      DOI: 10.1108/LHT-03-2021-0107
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Cybersecurity attacks on CAN bus based vehicles: a review and open
           challenges

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      Authors: Faten Fakhfakh , Mohamed Tounsi , Mohamed Mosbah
      Abstract: Nowadays, connected vehicles are becoming quite complex systems which are made up of different devices. In such a vehicle, there are several electronic control units (ECUs) that represent basic units of computation. These ECUs communicate with each other over the Controller Area Network (CAN) bus protocol which ensures a high communication rate. Even though it is an efficient standard which provides communication for in-vehicle networks, it is prone to various cybersecurity attacks. This paper aims to present a systematic literature review (SLR) which focuses on potential attacks on CAN bus networks. Then, it surveys the solutions proposed to overcome these attacks. In addition, it investigates the validation strategies aiming to check their accuracy and correctness. The authors have adopted the SLR methodology to summarize existing research papers that focus on the potential attacks on CAN bus networks. In addition, they compare the selected papers by classifying them according to the adopted validation strategies. They identify also gaps in the existing literature and provide a set of open challenges that can significantly improve the existing works. The study showed that most of the examined papers adopted the simulation as a validation strategy to imitate the system behavior and evaluate a set of performance criteria. Nevertheless, a little consideration has been given to the formal verification of the proposed systems. Unlike the existing surveys, this paper presents the first SLR that identifies local and remote security attacks that can compromise in-vehicle and inter-vehicle communications. Moreover, it compares the reviewed papers while focusing on the used validation strategies.
      Citation: Library Hi Tech
      PubDate: 2021-08-12
      DOI: 10.1108/LHT-01-2021-0013
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The relationship between the stress experienced by parents and
           cyberchondria during the pandemic process

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      Authors: Emel Avçin , Şeyda Can
      Abstract: The purpose of this paper is to examine the relationship between the stress experienced by parents during the pandemic and their cyberchondria. The research was carried out in a descriptive and cross-sectional manner. The sample of the research: living in Turkey and has created 432 parents with at least one child between the ages of 6 and 15. Participant information form, parental stress scale and cyberchondria scale were used in the study. Data were collected through online surveys between July 1, 2020, and August 31, 2020. In the study, when the scores obtained from the Parental Stress Scale and the Cyberchondria Scale were compared with the demographic characteristics, a significant difference was found between gender, age, marital status, education level, economic status, number of children and presence of chronic diseases (p < 0.05). It was determined that there is a significant difference between the responses of the parents regarding the pandemic process and the Parental Stress Scale and the Cyberchondria Scale (p < 0.05). A positive significant correlation was found between the Parental Stress Scale and the total and subdimensions of the Cyberchondria Scale (p < 0.05). The research was carried out with only parents with children between the ages of 6 and 15, but it reveals the stress and cyberchondria of the parents during the pandemic. The results obtained reflect the factors affecting the stress and cyberchondria levels experienced by parents during the pandemic process. Also, as the stress of the parent's increases, it has seen that the level of cyberchondria increases in parallel.
      Citation: Library Hi Tech
      PubDate: 2021-08-10
      DOI: 10.1108/LHT-03-2021-0110
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Quality of government health data in COVID-19: definition and testing of
           an open government health data quality evaluation framework

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      Authors: Dan Wu , Hao Xu , Wang Yongyi , Huining Zhu
      Abstract: Currently, countries worldwide are struggling with the virus COVID-19 and the severe outbreak it brings. To better benefit from open government health data in the fight against this pandemic, this study developed a framework for assessing open government health data at the dataset level, providing a tool to evaluate current open government health data's quality and usability COVID-19. Based on the review of the existing quality evaluation methods of open government data, the evaluation metrics and their weights were determined by 15 experts in health through the Delphi method and analytic hierarchy process. The authors tested the framework's applicability using open government health data related to COVID-19 in the US, EU and China. The results of the test capture the quality difference of the current open government health data. At present, the open government health data in the US, EU and China lacks the necessary metadata. Besides, the number, richness of content and timeliness of open datasets need to be improved. Unlike the existing open government data quality measurement, this study proposes a more targeted open government data quality evaluation framework that measures open government health data quality on a range of data quality dimensions with a fine-grained measurement approach. This provides a tool for accurate assessment of public health data for correct decision-making and assessment during a pandemic.
      Citation: Library Hi Tech
      PubDate: 2021-08-10
      DOI: 10.1108/LHT-04-2021-0126
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Identifying features of health misinformation on social media sites: an
           exploratory analysis

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      Authors: Shuai Zhang , Feicheng Ma , Yunmei Liu , Wenjing Pian
      Abstract: The purpose of this paper is to explore the features of health misinformation on social media sites (SMSs). The primary goal of the study is to investigate the salient features of health misinformation and to develop a tool of features to help users and social media companies identify health misinformation. Empirical data include 1,168 pieces of health information that were collected from WeChat, a dominant SMS in China, and the obtained data were analyzed through a process of open coding, axial coding and selective coding. Then chi-square test and analysis of variance (ANOVA) were adopted to identify salient features of health misinformation. The findings show that the features of health misinformation on SMSs involve surface features, semantic features and source features, and there are significant differences in the features of health misinformation between different topics. In addition, the list of features was developed to identify health misinformation on SMSs. This study raises awareness of the key features of health misinformation on SMSs. It develops a list of features to help users distinguish health misinformation as well as help social media companies filter health misinformation. Theoretically, this study contributes to the academic discourse on health misinformation on SMSs by exploring the features of health misinformation. Methodologically, the paper serves to enrich the literature around health misinformation and SMSs that have hitherto mostly drawn data from health websites.
      Citation: Library Hi Tech
      PubDate: 2021-08-06
      DOI: 10.1108/LHT-09-2020-0242
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A bibliometric approach to quantitatively assess current research trends
           in 5G security

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      Authors: M. Najmul Islam Farooqui , Junaid Arshad , Muhammad Mubashir Khan
      Abstract: Alongside the remarkable evolution of cellular communication to 5G networks, significant security and privacy challenges have risen which can affect the widespread adoption of advanced communication technologies. In this context, the purpose of this paper is to examine research within security and privacy for 5G-based systems highlighting contributions made by the research community and identify research trends within different subdomains of 5G security where open issues still exist. This paper uses a bibliographic approach to review the state-of-the-art in the field of 5G security and is the pioneering effort to investigate 5G security research using this methodology. Specifically, the paper presents a quantitative description of the existing contributions in terms of authors, organizations, and countries. It then presents detailed keyword and co-citation analysis that shows the quantity and pattern of research work in different subfields. Finally, 5G security areas are identified having open challenges for future research work. The study shows that China leads the world in terms of published research in the field of 5G security with USA and India ranked second and third respectively. Xidian University, China is ranked highest for number of publications and h-index followed by University Oulu and AALTO University Finland. IEEE Access, Sensors and IEEE Internet of Things Journal are the top publication venues in the field of 5G security. Using VOSViewer aided analysis with respect to productivity, research areas and keywords, the authors have identified research trends in 5G security among scientific community whilst highlighting specific challenges which require further efforts. Existing studies have focused on surveys covering state-of-the art research in secure 5G network (Zhang et al. 2019), physical layer security (Wu et al., 2018), security and privacy of 5G technologies (Khan et al., 2020) and security and privacy challenges when 5G is used in IoT (Sicari et al. 2020). However, our research has revealed no existing bibliometric studies in this area and therefore, to our best knowledge, this paper represents pioneering such effort for security within 5G.
      Citation: Library Hi Tech
      PubDate: 2021-08-04
      DOI: 10.1108/LHT-04-2021-0133
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The effect of interdisciplinary components' citation intensity on
           scientific impact

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      Authors: Shiji Chen , Yanhui Song , Junping Qiu , Vincent Larivière
      Abstract: This study explores whether interdisciplinary components' citation intensity (ICCI) affects papers' scientific impact. In this study, the term “interdisciplinary components” refers to the disciplines that are different from the discipline to which the target research belongs. The citation intensity is the degree of density or sparseness of the paper citation network for a discipline. Previous studies have shown that the scientific impact of interdisciplinary research is influenced by interdisciplinarity and its properties, namely, variety, balance and disparity. However, the effect of ICCI on scientific impact has not been comprehensively explored. This study is based on the entire publication database of the Web of Science for the year 2000, where the authors provide an indicator to measure the ICCI of each publication. A tobit regression model is used to examine the effect of ICCI on scientific impact, controlling for a range of variables associated with the characteristics of the publications studied. The results show that ICCI has a positive effect on scientific impact. The authors’ results further point out that ICCI displays a curvilinear inverted U-shape relationship with scientific impact. It means that including more citation-intensive interdisciplinary components can increase the scientific impact of interdisciplinary research. However, excessive use of citation-intensive interdisciplinary components may reduce the scientific impact of interdisciplinary research. This study shows that, in addition to interdisciplinarity, the scientific impact of interdisciplinary research is also affected by the citation characteristics of interdisciplinary components, namely ICCI.
      Citation: Library Hi Tech
      PubDate: 2021-08-03
      DOI: 10.1108/LHT-01-2021-0038
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Research on the influencing factors of the switching behavior of Chinese
           social media users: QQ transfer to WeChat

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      Authors: Cong Yin , Yujing Zhou , Peiyu He , Meng Tu
      Abstract: This research takes the transfer behavior of users from Tencent QQ to WeChat as an example to discuss the wider transfer behavior of social media users on the Internet. This paper collects data through a combination of offline interviews and online questionnaire surveys, and utilizes data analysis tools to construct structural equation modeling (SEM). Using Statistical Product and Service Solutions (SPSS) Statistics 22.0 and Analysis of Moment Structures (AMOS) 22.0 software with SEM, this study was carried out to provide reasonable statistical support for relevant proposed hypotheses based on 368 effective samples acquired through the questionnaire. The findings of this study show that subjective norm, transfer experience, social communication, and knowledge acquisition all have significant associations with transfer intention and switching behavior. To be specific, transfer intention exerts a positive association on switching behavior; function setting, privacy protection and personal innovation have a favorable association with transfer intention; transfer cost has a significantly negative relationship with transfer intention and switching behavior; function setting has no important relationship on switching behavior. The research results provide a reference for improving the viscosity and loyalty of social media users in the new era and resolving the problem of user churn.
      Citation: Library Hi Tech
      PubDate: 2021-07-26
      DOI: 10.1108/LHT-09-2020-0234
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Use of infographics as a technology-based information dissemination tool:
           the perspective of Egyptian public university libraries library staff

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      Authors: Essam Mansour
      Abstract: This study aims to explore the potential use of infographics as a technology-based information dissemination tool in Egyptian public university libraries. A quantitative approach was used in the form of a survey conducted in February 202. The survey tool was a self-administrated questionnaire. The study sample consisted of valid responses from 231 library staff. Of this number, 173 (74.9%) were infographics users, and 58 (25.1%) were infographics users. Infographics users tended to be males between 31 and 45 years of age, mostly BA holders, librarians, with work experience ranging from 11 to 25 years. On the other hand, infographics nonusers tended to be also males between 31 and 45 years of age, mostly BA holders, librarians, with work experience ranging from 11 to 25 years. The majority of library staff used infographics mainly to provide information about the library's map, news, services, events, contact, working hours, policies and activities, to provide guidance, instructions on the library use, explain its classification scheme and provide statistical data. The largest number of library staff indicated that their use of informational infographics ranged from “Completely used” to “Most used”, followed by statistical infographics and timeline infographics The use of informational infographics and statistical infographics described to be at least fairly easy to them. In addition, the use of timeline infographics, statistical infographics and informational infographics has also been described to at least fairly useful to them. A very large number of infographics users indicated that these means are attractive, effective, persuasive, focused, easy to embed, easy to read, artistic, easy to track, highly digestible data, easily shareable, easily rememberable, informative and understandable. About two-thirds of infographics users showed that they provided infographics through a computer-based format, followed by both printed and computer-based formats, and printed format. Barriers, such as lack of awareness of infographics, lack of knowledge about infographics, lack of time needed and lack of necessary technical skills, have been described as the greatest barriers to the use of infographics by library staff. This study is one of the very few studies concerned with the potential role of using infographics in Egyptian public university libraries, which relates to the presentation of information in the library environment.
      Citation: Library Hi Tech
      PubDate: 2021-07-23
      DOI: 10.1108/LHT-03-2021-0084
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Evolutions and trends of artificial intelligence (AI): research, output,
           influence and competition

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      Authors: Zhou Shao , Sha Yuan , Yongli Wang , Jing Xu
      Abstract: This paper throws light on some of the nature of artificial intelligence (AI) development, which will serve as a starter for helping to advance its development. This work reveals the evolutions and trends of AI from four dimensions: research, output, influence and competition through leveraging academic knowledge graph with 130,750 AI scholars and 43,746 scholarly articles. The authors unearth that the “research convergence” phenomenon becomes more evident in current AI research for scholars' highly similar research interests in different regions. The authors notice that Pareto's principle applies to AI scholars' outputs, and the outputs have been increasing at an explosive rate in the past two decades. The authors discover that top works dominate the AI academia, for they attracted considerable attention. Finally, the authors delve into AI competition, which accelerates technology development, talent flow, and collaboration. The work aims to throw light on the nature of AI development, which will serve as a starter for helping to advance its development. The work will help us to have a more comprehensive and profound understanding of the evolutions and trends, which bridge the gap between literature research and AI development as well as enlighten the way the authors promote AI development and its strategy formulation.
      Citation: Library Hi Tech
      PubDate: 2021-07-22
      DOI: 10.1108/LHT-01-2021-0018
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Research on the drivers of undergraduates' intention to use university
           digital libraries: affinity theory as an additional construct of
           information system success model

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      Authors: Fang Xu , Jia Tina Du
      Abstract: This study aims to examine the factors influencing undergraduates' intention to use university digital libraries by integrating the information system success model and affinity theory. Based on the 265 valid responses gathered through a survey, the structural equation modelling (SEM) technique was employed to test the research model and hypotheses. The results indicated that system quality and digital libraries (DLs)' affinity significantly affect undergraduates' user satisfaction. However, information quality and service quality does not. User satisfaction has significant impact on undergraduates' intention to use university digital libraries. Librarians and service providers should focus on enhancing the system quality of digital library and DLs' affinity, to improve the undergraduates' user satisfaction, further motivating undergraduates to use university digital libraries. The information system success model is enriched by affinity as an additional construct.
      Citation: Library Hi Tech
      PubDate: 2021-07-20
      DOI: 10.1108/LHT-03-2021-0108
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Data usage-based privacy and security issues in mobile app recommendation
           (MAR): a systematic literature review

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      Authors: Saira Beg , Saif Ur Rehman Khan , Adeel Anjum
      Abstract: Similarly, Zhu et al. (2014) and Zhang et al. (2014) stated that addressing privacy concerns with the recommendation process is necessary for the healthy development of app recommendation. Recently, Xiao et al. (2020) mentioned that a lack of effective privacy policy hinders the development of personalized recommendation services. According to the reported work, privacy protection technology methods are too limited for mobile focusing on data encryption, anonymity, disturbance, elimination of redundant data to protect the recommendation process from privacy breaches. So, this situation motivated us to conduct a systematic literature review (SLR) to provide the viewpoint of privacy and security concerns as mentioned in current state-of-the-art in the mobile app recommendation domain. In this work, the authors have followed Kitchenham guidelines (Kitchenham and Charters, 2007) to devise the SLR process. According to the guidelines, the SLR process has three main phases: (1) define, (2) conduct the search and (3) report the results. Furthermore, the authors used systematic mapping approach as well to ensure the whole process. Based on the selected studies, the authors proposed three main thematic taxonomies, including architectural style, security and privacy strategies, and user-usage in the mobile app recommendation domain. From the studies' synthesis viewpoint, it is observed that the majority of the research efforts have focused on the movie recommendation field, while the mainly used privacy scheme is homomorphic encryption. Finally, the authors suggested a set of future research dimensions useful for the potential researchers interested to perform the research in the mobile app recommendation domain. This is an SLR article, based on existing published research, where the authors identified key issues and future directions.
      Citation: Library Hi Tech
      PubDate: 2021-07-19
      DOI: 10.1108/LHT-04-2021-0147
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Emerging knowledge commons in the public libraries in South Africa

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      Authors: Williams Ezinwa Nwagwu , Margaret Molaodi Matobako
      Abstract: This study was aimed to examine emerging knowledge commons in the public libraries in the Thabo Mofutsanyane District in Free State, South Africa. A triangulated sample survey was adopted to collect data from the users of the commons using a questionnaire, and data of community member and the library officers were collected using an interview schedule. The study was guided by Hess and Ostrom's Institutional Analysis and Development framework. The librarians and the commons users recognise the changing nature, roles and services of the libraries without necessarily attributing the changes to the emergence of knowledge commons. Users viewed the commons by the learning opportunities offered by information and communication technologies. They were, however, willing to contribute their resources to boost and enrich the commons; their contributions presently take the forms of volunteering of their knowledge and skill through offering of training sessions to users of the commons. A critical aspect of the commons, namely, participation in the governance and management of the commons resources appears not to be occurring. To adequately build knowledge commons in the libraries will require formally introducing knowledge commons in the libraries, doing a systems analysis, deciding on the content and their sources, drawing up a programme for nurturing the system including training of relevant staff and then providing basic infrastructures. This study used quantitative approach to deploy the institutional analysis development Institutional Analysis and Development framework in the study of public library institution. Studies on knowledge commons in public libraries have not been found.
      Citation: Library Hi Tech
      PubDate: 2021-07-16
      DOI: 10.1108/LHT-01-2021-0036
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Providing a framework for the reuse of research data based on the
           development dynamic framework of United Nations Development Program (UNDP)
           

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      Authors: Ameneh Soleimani , Fatimah Fahim Nia , Nader Naghshineh , Adel Soleimani Nejad
      Abstract: The present research is aimed at presenting a framework for the reuse of research data in Iran through applying the United Nations Development Program (UNDP). The research at hand has a mixed methods design. In the qualitative section, the authors first carried out meta-synthesis and then an interview was conducted. Likewise, in the quantitative section, the reliability of the recommended framework was measured through carrying out a survey. Finally, the framework for data reuse was presented in five dimensions, namely human, organizational, policies and laws, technical, implementation and analysis. Through structural equation modeling, the fitness of the framework was confirmed, and it was found out that the dimensions of policies, human and organizational played more prominent roles in the explanation of the framework in comparison with the other two dimensions. Research studies in the area of data reuse have been conducted either quantitatively or qualitatively and in most of them interviews or questionnaires were used as tools for collecting data; however, due to the nature of this area and its relatively new literature in Iran, it is necessary to use mixed methods in order to be able to arrive at a proper understanding of this concept using both quantitative and qualitative approaches.
      Citation: Library Hi Tech
      PubDate: 2021-07-15
      DOI: 10.1108/LHT-01-2021-0007
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • When feminism meets social networks

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      Authors: Gila Prebor
      Abstract: The purpose of this study is to examine how different feminist Facebook groups in Israel operate in order to better understand the main issues in their discussions about feminism in Israel. The study will also identify the variances between the different subgroups. A secondary research question examined was whether Voyant Tools can be used as an effective content text analysis tool in general and in Hebrew in particular. The study's research method analyzes the content of Facebook posts using the Voyant Tools online toolkit to quantitatively analyze and visualize the results of text mining and data visualization. The sample consists of the texts of posts of three groups representing different currents in Israeli feminism, gathered over a period of three months. The results show that there are high-frequency words occurring in all groups, each group has its unique words, which distinguish it from the other groups. Feminist and Halachic Feminist groups had few words in common, while the Religious Feminist groups had more words in common with both the Feminist and the Halachic Feminist groups and more so with the latter group. While all groups discussed the issue of violence against women, especially sexual violence, the degree of engagement varied greatly between the groups. In addition, there were clear differences in the prominent issues concerning the various groups. This paper demonstrates the possibility of using Voyant Tools for text mining and analysis. This paper demonstrates the possibility of using Voyant Tools for text mining and analysis. Voyant Tools shed light on common concepts, their location and prevalence in the text.
      Citation: Library Hi Tech
      PubDate: 2021-07-15
      DOI: 10.1108/LHT-02-2021-0074
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • MIS faculty collaboration in research and journal publication

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      Authors: Yung-Ting Chuang , Hsi-Peng Kuan
      Abstract: This study applies D3.js and social network analysis (SNA) to examine the impact of collaboration patterns, research productivity patterns and publication patterns on the Ministry of Education (MOE) evaluation policies across all Management Information Systems (MIS) departments in Taiwan. This study first retrieved data from the Ministry of Science and Technology of Taiwan (MOST) website from 1982 to 2015, the Journal Citation Reports (JCR) website, the Web of Science (WOS) website and Google Scholar. Then it applied power-law degree distribution, cumulative distribution function, weighted contribution score, exponential weighted moving average and network centrality score to visualize the MIS collaborations and research patterns. The analysis concluded that most MIS professors focused primarily on SCIE-/SSCI-/TSSCI-/core indexed journals after 2005. Professors from public universities were drawn to collaboration and publishing in high-quality-based journals, while professors from private universities focused more on quantity-based publications. Female professors, by contrast, have a slightly higher single-authorship publication rate in SCIE-/SSCI-/TSSCI-indexed journals than do male professors. Meanwhile, professors in northern Taiwan emphasized quantity-based journal publications, while a focus on quality was more typical in the south. Furthermore, National Cheng Kung University has the most single-authorship or intrauniversity publications in SCIE-/SSCI-/TSSCI-/core journals, and National Sun Yat-Sen University published more SSCI-indexed articles than SCIE-indexed articles. All of these findings show that there is an explicit relation between MOE evaluation policies and MIS faculty members' collaboration/publication strategies. The above findings explain how MOE evaluation policies affected MIS faculty members' collaboration and publication strategies in Taiwan, and the authors hope that such findings can constitute a resource for understanding and characterizing networking with MIS departments in Taiwan.
      Citation: Library Hi Tech
      PubDate: 2021-07-15
      DOI: 10.1108/LHT-05-2021-0162
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • The growing trend of India's participation in planetary science research

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      Authors: B.S. Mohan , Mallinath Kumbar
      Abstract: The present investigation aims to present the status of planetary science research in India using different scientometric indicators, as reflected in the Web of Science Core Collection database. The researcher adopted systematic approaches to retrieve the data from the Web of Science Core Collection database for 20 years by using AAS Astronomical subject keywords. A total of 1,504 Indian publications and 55,572 World's publications were considered for analysis. The data were analyzed using the biblioshiny application of bibliometrix to investigate the most productive countries/territories, institutions, authors, research fields, journals, keywords, and h, g-index. The VOSviewer program is used to construct and visualize scientometric networks and analyze the co-occurrence of terms. “Webometric Analyst 2.0” is used to retrieve the Altmetric attention scores for the articles. The results revealed that the publications on planetary science research has increased over time, with an annual growth rate of 9.66%. The study also revealed the prolific authors and institutions, productive journals and most frequently cited journals. The USA was the major collaborating partner of India. The results also provided valuable information on the citations made to these papers on planetary science, including a total number of citations, average citations per item, cited rate and h-index. There were 28,086 citations to 1,504 papers. The top 67 citation papers were the h-core papers on planetary science in India. Altmetric score for planetary science articles ranged from 1 to 2,418. Twitter (69%), news outlets (16%), blogs (6%), and Facebook (6%) were the most popular Altmetric data resources. This investigation is the first attempt to employ scientometrics and visualization techniques to planetary science research in India.
      Citation: Library Hi Tech
      PubDate: 2021-07-14
      DOI: 10.1108/LHT-05-2021-0153
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Evaluation of teachers’ information literacy based on information of
           behavioral data in online learning and teaching platforms: an empirical
           study of China

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      Authors: Yating Li , Chi Zhou , Di Wu , Min Chen
      Abstract: Advances in information technology now permit the recording of massive and diverse process data, thereby making data-driven evaluations possible. This study discusses whether teachers’ information literacy can be evaluated based on their online information behaviors on online learning and teaching platforms (OLTPs). First, to evaluate teachers’ information literacy, the process data were combined from teachers on OLTP to describe nine third-level indicators from the richness, diversity, usefulness and timeliness analysis dimensions. Second, propensity score matching (PSM) and difference tests were used to analyze the differences between the performance groups with reduced selection bias. Third, to effectively predict the information literacy score of each teacher, four sets of input variables were used for prediction using supervised learning models. The results show that the high-performance group performs better than the low-performance group in 6 indicators. In addition, information-based teaching and behavioral research data can best reflect the level of information literacy. In the future, greater in-depth explorations are needed with richer online information behavioral data and a more effective evaluation model to increase evaluation accuracy. The evaluation based on online information behaviors has concrete application scenarios, positively correlated results and prediction interpretability. Therefore, information literacy evaluations based on behaviors have great potential and favorable prospects.
      Citation: Library Hi Tech
      PubDate: 2021-07-13
      DOI: 10.1108/LHT-01-2021-0034
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • A comprehensive study of the role of cloud computing on the information
           technology infrastructure library (ITIL) processes

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      Authors: Dayu Wang , Daojun Zhong , Liang Li
      Abstract: Information technology infrastructure library (ITIL) is a commonly utilized IT service management execution technique that helps IT services to be planned, designed, selected, operated and continuously improved. ITIL procedures are utilized to measure the efficiency of IT service management procedures and their association with the accelerated system development of cloud systems. The challenges faced in IT deployment and maintenance management significantly restrict cloud computing services' reliability. Therefore, this article aims to review a comprehensive study of the role of cloud computing on the ITIL processes. Each enterprise strives to stay competitive in the market and offers the services its consumers are looking for, all in line with cost-effectiveness and client needs. The ITIL framework provides best practice guidance for IT service management that includes a collection of ample publications supplying detailed guidelines on the management of IT functions, processes, responsibilities and roles associated with IT service management. On the other hand, the way companies employ IT services with an effect on the role of enterprise infrastructure is altered by cloud computing. Hence, the investigation makes utilization of a systematic literature review (SLR) detailing crucial success factors of cloud computing execution in ITIL. The authors have recognized 35 valuable contributions, providing a comprehensive view of study in this field, of which 22 papers were found according to some filters that have been analyzed in this article. Selected articles are presented in two groups, including cloud service and cloud service providers. Owing to the overall expense of execution and problems with combining the ITIL approach with the existing organizational IT strategic strategy, ITIL adoption has begun to wane over the last few years. An established methodology for ITIL deployment that will assure long-term success for those wanting to use private cloud procurement will be the most important inference that can be taken from this article. ITIL offers a perfect platform to execute and support cloud applications effectively. IT will prevent cloud sprawl and instability, reduce the likelihood of service interruption and optimize customer loyalty by merging humans, procedures and technologies into hybrid environments. This survey is more aimed at specialists such as IT experts; so, further evaluations must also be carried out in order to understand the company's views on the risks and advantages of adopting ITIL. In addition, non-English articles are not discussed in this article. The study outcomes would help suppliers of cloud computing services assess their service quality and ensure customer satisfaction with the quality of cloud computing services. The outcomes will also supply a reference for cloud infrastructure customers to assess and choose various kinds of cloud computing services. An SLR with perspectives from ITIL professionals and business studies is the benefit of this report. By offering a more thorough framework that helps companies achieve efficiency, effectiveness and creativity in ITIL execution, this article would be useful for ITIL clients, decision-makers and developers.
      Citation: Library Hi Tech
      PubDate: 2021-07-09
      DOI: 10.1108/LHT-01-2021-0031
      Issue No: Vol. ahead-of-print , No. ahead-of-print (2021)
       
  • Editorial

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      Authors: Po Sen Huang , Yvette C. Paulino , Stuart So , Dickson K.W. Chiu , Kevin K.W. Ho
      Abstract: Editorial
      Citation: Library Hi Tech
      PubDate: 2021-09-10
      DOI: 10.1108/LHT-09-2021-324
      Issue No: Vol. 39 , No. 3 (2021)
       
  • Setting the boundaries of COVID-19 lockdown relaxation measures

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      Authors: Samer Saab , Mohammad Al Abbas , Rola Najib Samaha , Rayana Jaafar , Khaled Kamal Saab , Samer Said Saab Jr
      Abstract: The purpose of this paper is to develop a simple deterministic model that quantifies previously adopted preventive measures driven by the trend of the reported number of deaths in both Italy and India. In addition, the authors forecast the spread based on some selected quantified preventive measures. The optimal exiting policy is derived using the inverse dynamics of the model. Furthermore, the model developed by the authors is dependent on the daily number of deaths; as such, it is sensitive to the death rate but remains insensitive to trends in deaths. In the wake of COVID-19, policymakers and health professionals realized the limitations and shortcomings of current healthcare systems and pandemic response policies. The need to revise global and national pandemic response mechanisms has been thrust into the public spotlight. To this end, the authors devise an approach to identify the most suitable governmental non-pharmaceutical intervention (NPI) policies, previously adopted in a community, country or region that serve as the foundation for most pandemic strategies. Leveraging Italy, the authors compare the aftermath by considering three scenarios: (a) recently adopted preventive measures, (b) strictest preventive measures previously adopted, and (c) the optimal exiting policy. In comparison to the second scenario, the authors estimate about twice the number of recoveries and deaths within five months under the first scenario and about 80 times more under the optimal scenario. Whereas in India, the authors applied one scenario of recently adopted preventative measures to showcase the rapid turnaround of their model. According to the new timeline, almost 90% of all deaths in India could have been prevented if the policies implemented in April 2021 were put in place three months prior, i.e. in January 2021. The novelty of the proposed approach is in the use of inverse dynamics of a simple deterministic model that allows capturing the trend of contact rate as a function of adopted NPIs, regardless of pandemic type.
      Citation: Library Hi Tech
      PubDate: 2021-07-27
      DOI: 10.1108/LHT-03-2021-0095
      Issue No: Vol. 39 , No. 3 (2021)
       
  • Impact of conspiracy beliefs on Covid-19 fear and health protective
           behavior: a case of university students

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      Authors: Muhammad Asif Naveed , Amara Malik , Khalid Mahmood
      Abstract: This study investigated the impact of conspiracy beliefs on fear of Covid-19 and health protective behavior of university students in Pakistan. A cross-sectional survey using an online questionnaire was conducted at three universities in Punjab (e.g. two public sectors and one private sector) with permission from concerned authorities for data collection. A total of 374 responses were received that were analyzed by applying both descriptive and inferential statistics. The results indicated the prevalence of conspiracy beliefs and fear of Covid-19 among university students of two public sector universities and one private sector university. Furthermore, the conspiracy beliefs of university students predicted their fear of Covid-19. However, conspiracy beliefs did not predict the health protective behavior of university students. These results had serious implications for public health in Pakistan demonstrating the critical need for health education and promotion as individual preparedness along with system preparedness is essential to combat Covid-19 pandemic and infodemic. These results are useful for policymakers, healthcare professionals, university administration and library staff for making evidence-based decisions toward health education and promotion related to the Covid-19 pandemic. It is hoped that the present study would make an invaluable contribution to existing research on promotional health in general and the role of conspiracy beliefs in putting public health at risk in particular as limited studies have been published so far.
      Citation: Library Hi Tech
      PubDate: 2021-07-20
      DOI: 10.1108/LHT-12-2020-0322
      Issue No: Vol. 39 , No. 3 (2021)
       
  • Library Hi Tech

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