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Library Hi Tech
Journal Prestige (SJR): 0.427
Citation Impact (citeScore): 1
Number of Followers: 1573  
 
Hybrid Journal Hybrid journal   * Containing 2 Open Access Open Access article(s) in this issue *
ISSN (Print) 0737-8831
Published by Emerald Homepage  [364 journals]
  • 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)
       
  • Library Hi Tech

    • Free pre-print version: Loading...

       
 
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