Libr. Hi Tech最新文献

{"title":"Quality of government health data in COVID-19: definition and testing of an open government health data quality evaluation framework","authors":"Dan Wu, Hao Xu, Yongyi Wang, Huining Zhu","doi":"10.1108/LHT-04-2021-0126","DOIUrl":"https://doi.org/10.1108/LHT-04-2021-0126","url":null,"abstract":"PurposeCurrently, countries worldwide are struggling with the virus COVID-19 and the severe outbreak it brings. To better benefit from open government health data in the fight against this pandemic, this study developed a framework for assessing open government health data at the dataset level, providing a tool to evaluate current open government health data's quality and usability COVID-19.Design/methodology/approachBased on the review of the existing quality evaluation methods of open government data, the evaluation metrics and their weights were determined by 15 experts in health through the Delphi method and analytic hierarchy process. The authors tested the framework's applicability using open government health data related to COVID-19 in the US, EU and China.FindingsThe results of the test capture the quality difference of the current open government health data. At present, the open government health data in the US, EU and China lacks the necessary metadata. Besides, the number, richness of content and timeliness of open datasets need to be improved.Originality/valueUnlike the existing open government data quality measurement, this study proposes a more targeted open government data quality evaluation framework that measures open government health data quality on a range of data quality dimensions with a fine-grained measurement approach. This provides a tool for accurate assessment of public health data for correct decision-making and assessment during a pandemic.","PeriodicalId":118541,"journal":{"name":"Libr. Hi Tech","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126453977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The relationship between the stress experienced by parents and cyberchondria during the pandemic process","authors":"Emel Avçin, Şeyda Can","doi":"10.1108/lht-03-2021-0110","DOIUrl":"https://doi.org/10.1108/lht-03-2021-0110","url":null,"abstract":"PurposeThe purpose of this paper is to examine the relationship between the stress experienced by parents during the pandemic and their cyberchondria. The research was carried out in a descriptive and cross-sectional manner.Design/methodology/approachThe sample of the research: living in Turkey and has created 432 parents with at least one child between the ages of 6 and 15. Participant information form, parental stress scale and cyberchondria scale were used in the study. Data were collected through online surveys between July 1, 2020, and August 31, 2020.FindingsIn the study, when the scores obtained from the Parental Stress Scale and the Cyberchondria Scale were compared with the demographic characteristics, a significant difference was found between gender, age, marital status, education level, economic status, number of children and presence of chronic diseases (p < 0.05). It was determined that there is a significant difference between the responses of the parents regarding the pandemic process and the Parental Stress Scale and the Cyberchondria Scale (p < 0.05). A positive significant correlation was found between the Parental Stress Scale and the total and subdimensions of the Cyberchondria Scale (p < 0.05).Research limitations/implicationsThe research was carried out with only parents with children between the ages of 6 and 15, but it reveals the stress and cyberchondria of the parents during the pandemic.Originality/valueThe results obtained reflect the factors affecting the stress and cyberchondria levels experienced by parents during the pandemic process. Also, as the stress of the parent's increases, it has seen that the level of cyberchondria increases in parallel.","PeriodicalId":118541,"journal":{"name":"Libr. Hi Tech","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114816548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying features of health misinformation on social media sites: an exploratory analysis","authors":"Shuai Zhang, Feicheng Ma, Yunmei Liu, Wenjing Pian","doi":"10.1108/lht-09-2020-0242","DOIUrl":"https://doi.org/10.1108/lht-09-2020-0242","url":null,"abstract":"PurposeThe purpose of this paper is to explore the features of health misinformation on social media sites (SMSs). The primary goal of the study is to investigate the salient features of health misinformation and to develop a tool of features to help users and social media companies identify health misinformation.Design/methodology/approachEmpirical data include 1,168 pieces of health information that were collected from WeChat, a dominant SMS in China, and the obtained data were analyzed through a process of open coding, axial coding and selective coding. Then chi-square test and analysis of variance (ANOVA) were adopted to identify salient features of health misinformation.FindingsThe findings show that the features of health misinformation on SMSs involve surface features, semantic features and source features, and there are significant differences in the features of health misinformation between different topics. In addition, the list of features was developed to identify health misinformation on SMSs.Practical implicationsThis study raises awareness of the key features of health misinformation on SMSs. It develops a list of features to help users distinguish health misinformation as well as help social media companies filter health misinformation.Originality/valueTheoretically, this study contributes to the academic discourse on health misinformation on SMSs by exploring the features of health misinformation. Methodologically, the paper serves to enrich the literature around health misinformation and SMSs that have hitherto mostly drawn data from health websites.","PeriodicalId":118541,"journal":{"name":"Libr. Hi Tech","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115466912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A bibliometric approach to quantitatively assess current research trends in 5G security","authors":"M. Farooqui, J. Arshad, M. M. Khan","doi":"10.1108/lht-04-2021-0133","DOIUrl":"https://doi.org/10.1108/lht-04-2021-0133","url":null,"abstract":"PurposeAlongside the remarkable evolution of cellular communication to 5G networks, significant security and privacy challenges have risen which can affect the widespread adoption of advanced communication technologies. In this context, the purpose of this paper is to examine research within security and privacy for 5G-based systems highlighting contributions made by the research community and identify research trends within different subdomains of 5G security where open issues still exist.Design/methodology/approachThis paper uses a bibliographic approach to review the state-of-the-art in the field of 5G security and is the pioneering effort to investigate 5G security research using this methodology. Specifically, the paper presents a quantitative description of the existing contributions in terms of authors, organizations, and countries. It then presents detailed keyword and co-citation analysis that shows the quantity and pattern of research work in different subfields. Finally, 5G security areas are identified having open challenges for future research work.FindingsThe study shows that China leads the world in terms of published research in the field of 5G security with USA and India ranked second and third respectively. Xidian University, China is ranked highest for number of publications and h-index followed by University Oulu and AALTO University Finland. IEEE Access, Sensors and IEEE Internet of Things Journal are the top publication venues in the field of 5G security. Using VOSViewer aided analysis with respect to productivity, research areas and keywords, the authors have identified research trends in 5G security among scientific community whilst highlighting specific challenges which require further efforts.Originality/valueExisting studies have focused on surveys covering state-of-the art research in secure 5G network (Zhang et al. 2019), physical layer security (Wu et al., 2018), security and privacy of 5G technologies (Khan et al., 2020) and security and privacy challenges when 5G is used in IoT (Sicari et al. 2020). However, our research has revealed no existing bibliometric studies in this area and therefore, to our best knowledge, this paper represents pioneering such effort for security within 5G.","PeriodicalId":118541,"journal":{"name":"Libr. Hi Tech","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128837153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of interdisciplinary components' citation intensity on scientific impact","authors":"Shiji Chen, Yanhui Song, Junping Qiu, V. Larivière","doi":"10.1108/lht-01-2021-0038","DOIUrl":"https://doi.org/10.1108/lht-01-2021-0038","url":null,"abstract":"PurposeThis study explores whether interdisciplinary components' citation intensity (ICCI) affects papers' scientific impact. In this study, the term “interdisciplinary components” refers to the disciplines that are different from the discipline to which the target research belongs. The citation intensity is the degree of density or sparseness of the paper citation network for a discipline. Previous studies have shown that the scientific impact of interdisciplinary research is influenced by interdisciplinarity and its properties, namely, variety, balance and disparity. However, the effect of ICCI on scientific impact has not been comprehensively explored.Design/methodology/approachThis study is based on the entire publication database of the Web of Science for the year 2000, where the authors provide an indicator to measure the ICCI of each publication. A tobit regression model is used to examine the effect of ICCI on scientific impact, controlling for a range of variables associated with the characteristics of the publications studied.FindingsThe results show that ICCI has a positive effect on scientific impact. The authors’ results further point out that ICCI displays a curvilinear inverted U-shape relationship with scientific impact. It means that including more citation-intensive interdisciplinary components can increase the scientific impact of interdisciplinary research. However, excessive use of citation-intensive interdisciplinary components may reduce the scientific impact of interdisciplinary research.Originality/valueThis study shows that, in addition to interdisciplinarity, the scientific impact of interdisciplinary research is also affected by the citation characteristics of interdisciplinary components, namely ICCI.","PeriodicalId":118541,"journal":{"name":"Libr. Hi Tech","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124876889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Setting the boundaries of COVID-19 lockdown relaxation measures","authors":"S. Saab, Mohammad Al Abbas, Rola Najib Samaha, Rayana H. Jaafar, Khaled Kamal Saab, Samer Said Saab Jr","doi":"10.1108/lht-03-2021-0095","DOIUrl":"https://doi.org/10.1108/lht-03-2021-0095","url":null,"abstract":"PurposeThe purpose of this paper is to develop a simple deterministic model that quantifies previously adopted preventive measures driven by the trend of the reported number of deaths in both Italy and India. In addition, the authors forecast the spread based on some selected quantified preventive measures. The optimal exiting policy is derived using the inverse dynamics of the model. Furthermore, the model developed by the authors is dependent on the daily number of deaths; as such, it is sensitive to the death rate but remains insensitive to trends in deaths.Design/methodology/approachIn the wake of COVID-19, policymakers and health professionals realized the limitations and shortcomings of current healthcare systems and pandemic response policies. The need to revise global and national pandemic response mechanisms has been thrust into the public spotlight. To this end, the authors devise an approach to identify the most suitable governmental non-pharmaceutical intervention (NPI) policies, previously adopted in a community, country or region that serve as the foundation for most pandemic strategies.FindingsLeveraging Italy, the authors compare the aftermath by considering three scenarios: (a) recently adopted preventive measures, (b) strictest preventive measures previously adopted, and (c) the optimal exiting policy. In comparison to the second scenario, the authors estimate about twice the number of recoveries and deaths within five months under the first scenario and about 80 times more under the optimal scenario. Whereas in India, the authors applied one scenario of recently adopted preventative measures to showcase the rapid turnaround of their model. According to the new timeline, almost 90% of all deaths in India could have been prevented if the policies implemented in April 2021 were put in place three months prior, i.e. in January 2021.Originality/valueThe novelty of the proposed approach is in the use of inverse dynamics of a simple deterministic model that allows capturing the trend of contact rate as a function of adopted NPIs, regardless of pandemic type.","PeriodicalId":118541,"journal":{"name":"Libr. Hi Tech","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114399224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the influencing factors of the switching behavior of Chinese social media users: QQ transfer to WeChat","authors":"Cong Yin, Yujing Zhou, Peiyu He, Meng Tu","doi":"10.1108/lht-09-2020-0234","DOIUrl":"https://doi.org/10.1108/lht-09-2020-0234","url":null,"abstract":"PurposeThis research takes the transfer behavior of users from Tencent QQ to WeChat as an example to discuss the wider transfer behavior of social media users on the Internet.Design/methodology/approachThis paper collects data through a combination of offline interviews and online questionnaire surveys, and utilizes data analysis tools to construct structural equation modeling (SEM). Using Statistical Product and Service Solutions (SPSS) Statistics 22.0 and Analysis of Moment Structures (AMOS) 22.0 software with SEM, this study was carried out to provide reasonable statistical support for relevant proposed hypotheses based on 368 effective samples acquired through the questionnaire.FindingsThe findings of this study show that subjective norm, transfer experience, social communication, and knowledge acquisition all have significant associations with transfer intention and switching behavior. To be specific, transfer intention exerts a positive association on switching behavior; function setting, privacy protection and personal innovation have a favorable association with transfer intention; transfer cost has a significantly negative relationship with transfer intention and switching behavior; function setting has no important relationship on switching behavior.Originality/valueThe research results provide a reference for improving the viscosity and loyalty of social media users in the new era and resolving the problem of user churn.","PeriodicalId":118541,"journal":{"name":"Libr. Hi Tech","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131405591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of infographics as a technology-based information dissemination tool: the perspective of Egyptian public university libraries library staff","authors":"Essam A. H. Mansour","doi":"10.1108/LHT-03-2021-0084","DOIUrl":"https://doi.org/10.1108/LHT-03-2021-0084","url":null,"abstract":"PurposeThis study aims to explore the potential use of infographics as a technology-based information dissemination tool in Egyptian public university libraries.Design/methodology/approachA quantitative approach was used in the form of a survey conducted in February 202. The survey tool was a self-administrated questionnaire. The study sample consisted of valid responses from 231 library staff. Of this number, 173 (74.9%) were infographics users, and 58 (25.1%) were infographics users.FindingsInfographics users tended to be males between 31 and 45 years of age, mostly BA holders, librarians, with work experience ranging from 11 to 25 years. On the other hand, infographics nonusers tended to be also males between 31 and 45 years of age, mostly BA holders, librarians, with work experience ranging from 11 to 25 years. The majority of library staff used infographics mainly to provide information about the library's map, news, services, events, contact, working hours, policies and activities, to provide guidance, instructions on the library use, explain its classification scheme and provide statistical data. The largest number of library staff indicated that their use of informational infographics ranged from “Completely used” to “Most used”, followed by statistical infographics and timeline infographics The use of informational infographics and statistical infographics described to be at least fairly easy to them. In addition, the use of timeline infographics, statistical infographics and informational infographics has also been described to at least fairly useful to them. A very large number of infographics users indicated that these means are attractive, effective, persuasive, focused, easy to embed, easy to read, artistic, easy to track, highly digestible data, easily shareable, easily rememberable, informative and understandable. About two-thirds of infographics users showed that they provided infographics through a computer-based format, followed by both printed and computer-based formats, and printed format. Barriers, such as lack of awareness of infographics, lack of knowledge about infographics, lack of time needed and lack of necessary technical skills, have been described as the greatest barriers to the use of infographics by library staff.Originality/valueThis study is one of the very few studies concerned with the potential role of using infographics in Egyptian public university libraries, which relates to the presentation of information in the library environment.","PeriodicalId":118541,"journal":{"name":"Libr. Hi Tech","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123955600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolutions and trends of artificial intelligence (AI): research, output, influence and competition","authors":"Zhou Shao, Sha Yuan, Yongli Wang, Jing Xu","doi":"10.1108/LHT-01-2021-0018","DOIUrl":"https://doi.org/10.1108/LHT-01-2021-0018","url":null,"abstract":"PurposeThis paper throws light on some of the nature of artificial intelligence (AI) development, which will serve as a starter for helping to advance its development.Design/methodology/approachThis work reveals the evolutions and trends of AI from four dimensions: research, output, influence and competition through leveraging academic knowledge graph with 130,750 AI scholars and 43,746 scholarly articles.FindingsThe authors unearth that the “research convergence” phenomenon becomes more evident in current AI research for scholars' highly similar research interests in different regions. The authors notice that Pareto's principle applies to AI scholars' outputs, and the outputs have been increasing at an explosive rate in the past two decades. The authors discover that top works dominate the AI academia, for they attracted considerable attention. Finally, the authors delve into AI competition, which accelerates technology development, talent flow, and collaboration.Originality/valueThe work aims to throw light on the nature of AI development, which will serve as a starter for helping to advance its development. The work will help us to have a more comprehensive and profound understanding of the evolutions and trends, which bridge the gap between literature research and AI development as well as enlighten the way the authors promote AI development and its strategy formulation.","PeriodicalId":118541,"journal":{"name":"Libr. Hi Tech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127567749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of conspiracy beliefs on Covid-19 fear and health protective behavior: a case of university students","authors":"M. Naveed, Amara Malik, K. Mahmood","doi":"10.1108/LHT-12-2020-0322","DOIUrl":"https://doi.org/10.1108/LHT-12-2020-0322","url":null,"abstract":"PurposeThis study investigated the impact of conspiracy beliefs on fear of Covid-19 and health protective behavior of university students in Pakistan.Design/methodology/approachA cross-sectional survey using an online questionnaire was conducted at three universities in Punjab (e.g. two public sectors and one private sector) with permission from concerned authorities for data collection. A total of 374 responses were received that were analyzed by applying both descriptive and inferential statistics.FindingsThe results indicated the prevalence of conspiracy beliefs and fear of Covid-19 among university students of two public sector universities and one private sector university. Furthermore, the conspiracy beliefs of university students predicted their fear of Covid-19. However, conspiracy beliefs did not predict the health protective behavior of university students.Research limitations/implicationsThese results had serious implications for public health in Pakistan demonstrating the critical need for health education and promotion as individual preparedness along with system preparedness is essential to combat Covid-19 pandemic and infodemic. These results are useful for policymakers, healthcare professionals, university administration and library staff for making evidence-based decisions toward health education and promotion related to the Covid-19 pandemic.Originality/valueIt is hoped that the present study would make an invaluable contribution to existing research on promotional health in general and the role of conspiracy beliefs in putting public health at risk in particular as limited studies have been published so far.","PeriodicalId":118541,"journal":{"name":"Libr. Hi Tech","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132710025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}