Purpose An emerging technology in the primary stages of its life cycle is the blockchain. This research paper aims to evaluate the preparedness of hospitals in using blockchain technology in their electronic health record (EHR) systems. Design/methodology/approach In the initial stage, 15 criteria relating to preparedness in using blockchain in EHR systems were identified from the literature and divided into five criteria, namely, technological, legal, financial, environmental and organizational. Then, 17 experts from various specialized fields were invited to form expert panels. After validating the criteria identified by the expert panels, the weights of the criteria were determined through the fuzzy best-worst multicriteria decision-making method. Following that, the preparedness of ten selected hospitals in Tehran to use blockchain in their EHR systems was assessed via the weighted aggregated sum product assessment method. Finally, using sensitivity analysis and examining different scenarios, the robustness of the results of the proposed approach was validated. Findings According to expert judgments, the legal criterion (32%) was deemed the most important factor in the preparedness to use blockchain in EHR systems followed by technological (28%), financial (17%), organizational (13%) and environmental (9%) criteria. A sensitivity analysis showed that the proposed approach offers good strength and robustness in evaluating the selected hospitals. Originality/value This study can be useful in developing knowledge in the field of technology management for evaluating blockchain implementation in the health-care industry using a novel, coherent and robust approach. In addition, the proposed approach provides comprehensive insight for decision-makers on assessing preparedness in deploying blockchain technology in EHR systems.
{"title":"Evaluating preparedness in using blockchains for electronic health record systems","authors":"S. M. Hosseini Sarkhosh, Peyman Akhavan","doi":"10.1108/el-05-2022-0104","DOIUrl":"https://doi.org/10.1108/el-05-2022-0104","url":null,"abstract":"\u0000Purpose\u0000An emerging technology in the primary stages of its life cycle is the blockchain. This research paper aims to evaluate the preparedness of hospitals in using blockchain technology in their electronic health record (EHR) systems.\u0000\u0000\u0000Design/methodology/approach\u0000In the initial stage, 15 criteria relating to preparedness in using blockchain in EHR systems were identified from the literature and divided into five criteria, namely, technological, legal, financial, environmental and organizational. Then, 17 experts from various specialized fields were invited to form expert panels. After validating the criteria identified by the expert panels, the weights of the criteria were determined through the fuzzy best-worst multicriteria decision-making method. Following that, the preparedness of ten selected hospitals in Tehran to use blockchain in their EHR systems was assessed via the weighted aggregated sum product assessment method. Finally, using sensitivity analysis and examining different scenarios, the robustness of the results of the proposed approach was validated.\u0000\u0000\u0000Findings\u0000According to expert judgments, the legal criterion (32%) was deemed the most important factor in the preparedness to use blockchain in EHR systems followed by technological (28%), financial (17%), organizational (13%) and environmental (9%) criteria. A sensitivity analysis showed that the proposed approach offers good strength and robustness in evaluating the selected hospitals.\u0000\u0000\u0000Originality/value\u0000This study can be useful in developing knowledge in the field of technology management for evaluating blockchain implementation in the health-care industry using a novel, coherent and robust approach. In addition, the proposed approach provides comprehensive insight for decision-makers on assessing preparedness in deploying blockchain technology in EHR systems.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116891267","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}
Purpose This paper aims to explore the characteristics of knowledge diffusion in library and information science (LIS) to reveal the impact of knowledge in LIS on other disciplines and the disciplinary status of LIS. Design/methodology/approach Taking the 573 highly cited papers (HCP) of LIS during the years 2000–2019 in Web of Science and 85,638 papers citing them from non-LIS disciplines as the analysis object, this paper analysed the disciplines to which the citing papers belonged regarding the Biglan model, and the topics and their characteristics of the citing disciplines using latent Dirichlet allocation topic clustering. Findings The results showed that the knowledge in LIS was exported to multiple disciplines and topics. (1) Citations from other disciplines were overall increasing, and the main citing disciplines, mainly from applied science disciplines, were medicine, computer science, management, economics, education, sociology, psychology, journalism and communication, earth science, engineering, biology, political science, chemistry and agronomy. However, those disciplines had fewer citations to LIS during for the years from 2000 to 2004, with rapid growth in the next three time periods. (2) The citing papers had various topics and showed an increasing trend in quantity. Moreover, topics of different disciplines from 2000 to 2019 had various characteristics. Originality/value From the perspective of discipline and topic, this study analyses papers citing the HCP of LIS from non-LIS disciplines, revealing the impact of knowledge in LIS on other disciplines.
目的探讨图书馆情报学知识扩散的特征，揭示图书馆情报学知识对其他学科的影响以及图书馆情报学的学科地位。设计/方法/方法以Web of Science 2000-2019年间收录的573篇LIS高被引论文和85,638篇非LIS学科被引论文为分析对象，采用Biglan模型分析了被引论文所属学科，并采用潜在Dirichlet分配主题聚类分析了被引学科的主题及其特征。结果表明，LIS的知识输出到多个学科和主题。(1)其他学科被引频次总体呈上升趋势，主要被引学科为医学、计算机科学、管理学、经济学、教育学、社会学、心理学、新闻传播学、地球科学、工程学、生物学、政治学、化学和农学，以应用科学学科为主。然而，在2000年至2004年期间，这些学科对LIS的引用较少，在接下来的三个时期内快速增长。(2)被引论文主题多样，数量呈上升趋势。2000 - 2019年不同学科的课题具有不同的特点。原创性/价值本研究从学科和主题的角度，分析了非学科引用LIS HCP的论文，揭示了LIS知识对其他学科的影响。
{"title":"The impact of library and information science knowledge from the perspective of external citations","authors":"Li Si, Caiqiang Guo","doi":"10.1108/el-06-2022-0130","DOIUrl":"https://doi.org/10.1108/el-06-2022-0130","url":null,"abstract":"\u0000Purpose\u0000This paper aims to explore the characteristics of knowledge diffusion in library and information science (LIS) to reveal the impact of knowledge in LIS on other disciplines and the disciplinary status of LIS.\u0000\u0000\u0000Design/methodology/approach\u0000Taking the 573 highly cited papers (HCP) of LIS during the years 2000–2019 in Web of Science and 85,638 papers citing them from non-LIS disciplines as the analysis object, this paper analysed the disciplines to which the citing papers belonged regarding the Biglan model, and the topics and their characteristics of the citing disciplines using latent Dirichlet allocation topic clustering.\u0000\u0000\u0000Findings\u0000The results showed that the knowledge in LIS was exported to multiple disciplines and topics. (1) Citations from other disciplines were overall increasing, and the main citing disciplines, mainly from applied science disciplines, were medicine, computer science, management, economics, education, sociology, psychology, journalism and communication, earth science, engineering, biology, political science, chemistry and agronomy. However, those disciplines had fewer citations to LIS during for the years from 2000 to 2004, with rapid growth in the next three time periods. (2) The citing papers had various topics and showed an increasing trend in quantity. Moreover, topics of different disciplines from 2000 to 2019 had various characteristics.\u0000\u0000\u0000Originality/value\u0000From the perspective of discipline and topic, this study analyses papers citing the HCP of LIS from non-LIS disciplines, revealing the impact of knowledge in LIS on other disciplines.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130632927","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}
Purpose This study aims to evaluate the usability and information architecture of the digital library (DL) website of the National Library and Archives of Iran (NLAI). Design/methodology/approach This applied study used an exploratory mixed method, card sorting. Data were collected by interviewing, observation, usability test and card sorting. By interviewing users about problems of the DL, eight tasks were predefined and users’ problems in the path were identified. Their satisfaction of the tasks and the usability rates were measured via a questionnaire. Card sorting was done to inform on the information organization of the website elements. The study population included all users of the DL of the NLAI in two groups: ten initiator users (public users) and ten expert users (librarians). SPSS was used for analysing the usability test quantitative data. MaxQda was applied for analysing interview-driven qualitative data. Qualitative content analysis, categorization (data organization and grouping) and determining main and secondary codes were applied as well. The sort optimal application was used for analysing card sorting data in the form of similarity matrix and dendrogram. For validating qualitative findings, triangulation was used. The internal reliability of the used questionnaire amounted to a = 0.87 Findings Regarding the assigned tasks, new initiator users by consuming 367.67 s for registering and new expert users by consuming 403 s spent the most time. Task 2 ranked first in being incomplete among 40% of initiator users and Task 3 ranked first by 30% of incompleteness. Expert users had more unsuccessful attempts. Task 5 with the mean rate of 3.35 and Task 8 with the mean rate of 2.25 were the most difficult and the easiest tasks, respectively. Some usability components were rated lower than the moderate point. Only 30% of initiator users and 10% of expert users were satisfied with the website. A total of 12 categories and 452 codes were identified as main problems of the DL. The problems related to a vague perception of concepts and labels with 90 repetitions and digital source display with six repetitions ranked as the first and the last problems in working with the DL, respectively. The sort optimal package produced the card sorting results as a matrix similarity and a dendrogram. Card sorting reflected some changes in organizing information items. Interviews after card sorting emerged some new groups to be included, such as links to other digital libraries, shared databases in the organization and frequently asked questions. Originality/value The library’s website should be designed in a manner so that it can satisfy users with different traits. As the information technologies are increasingly developing, the importance of such a design increases for better service provision and effective competition.
{"title":"User experience and information architecture of the National Digital Library and archives of Iran: a usability investigation and card sorting","authors":"Azam Najafgholinejad","doi":"10.1108/el-07-2022-0172","DOIUrl":"https://doi.org/10.1108/el-07-2022-0172","url":null,"abstract":"\u0000Purpose\u0000This study aims to evaluate the usability and information architecture of the digital library (DL) website of the National Library and Archives of Iran (NLAI).\u0000\u0000\u0000Design/methodology/approach\u0000This applied study used an exploratory mixed method, card sorting. Data were collected by interviewing, observation, usability test and card sorting. By interviewing users about problems of the DL, eight tasks were predefined and users’ problems in the path were identified. Their satisfaction of the tasks and the usability rates were measured via a questionnaire. Card sorting was done to inform on the information organization of the website elements. The study population included all users of the DL of the NLAI in two groups: ten initiator users (public users) and ten expert users (librarians). SPSS was used for analysing the usability test quantitative data. MaxQda was applied for analysing interview-driven qualitative data. Qualitative content analysis, categorization (data organization and grouping) and determining main and secondary codes were applied as well. The sort optimal application was used for analysing card sorting data in the form of similarity matrix and dendrogram. For validating qualitative findings, triangulation was used. The internal reliability of the used questionnaire amounted to a = 0.87\u0000\u0000\u0000Findings\u0000Regarding the assigned tasks, new initiator users by consuming 367.67 s for registering and new expert users by consuming 403 s spent the most time. Task 2 ranked first in being incomplete among 40% of initiator users and Task 3 ranked first by 30% of incompleteness. Expert users had more unsuccessful attempts. Task 5 with the mean rate of 3.35 and Task 8 with the mean rate of 2.25 were the most difficult and the easiest tasks, respectively. Some usability components were rated lower than the moderate point. Only 30% of initiator users and 10% of expert users were satisfied with the website. A total of 12 categories and 452 codes were identified as main problems of the DL. The problems related to a vague perception of concepts and labels with 90 repetitions and digital source display with six repetitions ranked as the first and the last problems in working with the DL, respectively. The sort optimal package produced the card sorting results as a matrix similarity and a dendrogram. Card sorting reflected some changes in organizing information items. Interviews after card sorting emerged some new groups to be included, such as links to other digital libraries, shared databases in the organization and frequently asked questions.\u0000\u0000\u0000Originality/value\u0000The library’s website should be designed in a manner so that it can satisfy users with different traits. As the information technologies are increasingly developing, the importance of such a design increases for better service provision and effective competition.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130538308","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":"Guest editorial: Digital language archives","authors":"Oksana L. Zavalina, S. Chelliah","doi":"10.1108/el-11-2022-349","DOIUrl":"https://doi.org/10.1108/el-11-2022-349","url":null,"abstract":"","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123648730","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}
Purpose This paper reports on the first 20 years of the Open Language Archives Community (OLAC), comprehensive infrastructure for indexing and discovering language resources. Design/methodology/approach We begin with the original vision, assess progress relative to the original requirements, and identify ongoing challenges. Findings Based on the overview of OLAC history and recent developments and on the analysis of the situation in the language archives area as a whole, the authors propose an agenda for a more sustainable future for open language archiving. Originality/value This paper examines the progress of OLAC and discusses improvements in such areas as participation, access, and sustainability.
{"title":"The Open Language Archives Community: a 20-year update","authors":"Steven Bird, Gary F. Simons","doi":"10.1108/el-08-2022-0192","DOIUrl":"https://doi.org/10.1108/el-08-2022-0192","url":null,"abstract":"\u0000Purpose\u0000This paper reports on the first 20 years of the Open Language Archives Community (OLAC), comprehensive infrastructure for indexing and discovering language resources.\u0000\u0000\u0000Design/methodology/approach\u0000We begin with the original vision, assess progress relative to the original requirements, and identify ongoing challenges.\u0000\u0000\u0000Findings\u0000Based on the overview of OLAC history and recent developments and on the analysis of the situation in the language archives area as a whole, the authors propose an agenda for a more sustainable future for open language archiving.\u0000\u0000\u0000Originality/value\u0000This paper examines the progress of OLAC and discusses improvements in such areas as participation, access, and sustainability.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"15 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113932764","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}
Seyed Shahramadin Tavakoli, Afsaneh Mozaffari, A. Danaei, Esmaeil Rashidi
Purpose The purpose of this paper is to explain the effect of the technology acceptance model in the media environment by using the mediating role of artificial intelligence and the cloud computing approach. Design/methodology/approach After reviewing the theoretical foundations, a conceptual model framework and research hypotheses were formed. The statistical population of the study included managers, deputies and experts from the National Iranian Oil Company, and a statistical sample of 368 people was selected by simple random sampling. Findings The results of structural equation modelling with PLS 2.0 software show a positive and significant effect on the artificial intelligence variable in the technology acceptance model with the cloud approach. Artificial intelligence has opened a new space in the digital world, especially in the media, so that its profound impact is quite evident and has affected people’s lives. Originality/value The acceleration of various technologies has severely challenged the approach of organizations, especially the media. The media environment with word of the technologies of the Industry 4.0, especially cloud computing technology, has changed the ways of accessing and using products and services.
{"title":"Explaining the effect of artificial intelligence on the technology acceptance model in media: a cloud computing approach","authors":"Seyed Shahramadin Tavakoli, Afsaneh Mozaffari, A. Danaei, Esmaeil Rashidi","doi":"10.1108/el-04-2022-0094","DOIUrl":"https://doi.org/10.1108/el-04-2022-0094","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to explain the effect of the technology acceptance model in the media environment by using the mediating role of artificial intelligence and the cloud computing approach.\u0000\u0000\u0000Design/methodology/approach\u0000After reviewing the theoretical foundations, a conceptual model framework and research hypotheses were formed. The statistical population of the study included managers, deputies and experts from the National Iranian Oil Company, and a statistical sample of 368 people was selected by simple random sampling.\u0000\u0000\u0000Findings\u0000The results of structural equation modelling with PLS 2.0 software show a positive and significant effect on the artificial intelligence variable in the technology acceptance model with the cloud approach. Artificial intelligence has opened a new space in the digital world, especially in the media, so that its profound impact is quite evident and has affected people’s lives.\u0000\u0000\u0000Originality/value\u0000The acceleration of various technologies has severely challenged the approach of organizations, especially the media. The media environment with word of the technologies of the Industry 4.0, especially cloud computing technology, has changed the ways of accessing and using products and services.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125064440","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}
Yaqi Liu, Shuzhen Fang, Lingyu Wang, Chong Huan, Ruixue Wang
Purpose In recent years, personalized recommendations have facilitated easy access to users' personal information and historical interactions, thereby improving recommendation effectiveness. However, due to privacy risk concerns, it is essential to balance the accuracy of personalized recommendations with privacy protection. Accordingly, this paper aims to propose a neural graph collaborative filtering personalized recommendation framework based on federated transfer learning (FTL-NGCF), which achieves high-quality personalized recommendations with privacy protection. Design/methodology/approach FTL-NGCF uses a third-party server to coordinate local users to train the graph neural networks (GNN) model. Each user client integrates user–item interactions into the embedding and uploads the model parameters to a server. To prevent attacks during communication and thus promote privacy preservation, the authors introduce homomorphic encryption to ensure secure model aggregation between clients and the server. Findings Experiments on three real data sets (Gowalla, Yelp2018, Amazon-Book) show that FTL-NGCF improves the recommendation performance in terms of recall and NDCG, based on the increased consideration of privacy protection relative to original federated learning methods. Originality/value To the best of the authors’ knowledge, no previous research has considered federated transfer learning framework for GNN-based recommendation. It can be extended to other recommended applications while maintaining privacy protection.
{"title":"Neural graph collaborative filtering for privacy preservation based on federated transfer learning","authors":"Yaqi Liu, Shuzhen Fang, Lingyu Wang, Chong Huan, Ruixue Wang","doi":"10.1108/el-06-2022-0141","DOIUrl":"https://doi.org/10.1108/el-06-2022-0141","url":null,"abstract":"\u0000Purpose\u0000In recent years, personalized recommendations have facilitated easy access to users' personal information and historical interactions, thereby improving recommendation effectiveness. However, due to privacy risk concerns, it is essential to balance the accuracy of personalized recommendations with privacy protection. Accordingly, this paper aims to propose a neural graph collaborative filtering personalized recommendation framework based on federated transfer learning (FTL-NGCF), which achieves high-quality personalized recommendations with privacy protection.\u0000\u0000\u0000Design/methodology/approach\u0000FTL-NGCF uses a third-party server to coordinate local users to train the graph neural networks (GNN) model. Each user client integrates user–item interactions into the embedding and uploads the model parameters to a server. To prevent attacks during communication and thus promote privacy preservation, the authors introduce homomorphic encryption to ensure secure model aggregation between clients and the server.\u0000\u0000\u0000Findings\u0000Experiments on three real data sets (Gowalla, Yelp2018, Amazon-Book) show that FTL-NGCF improves the recommendation performance in terms of recall and NDCG, based on the increased consideration of privacy protection relative to original federated learning methods.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, no previous research has considered federated transfer learning framework for GNN-based recommendation. It can be extended to other recommended applications while maintaining privacy protection.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123216628","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}
Purpose The purpose of this study is to investigate the impact of mobile self-efficacy on personal digital archiving (PDA) practices of undergraduate students. Design/methodology/approach This study used a quantitative research design for achieving the objectives. The population consisted of undergraduate students from public sector universities (the top five) of Punjab, Pakistan, listed in the Higher Education Commission recognized general universities. The data were analysed by using SmartPLS, mobile self-efficacy was the independent variable that consisted of two constructs (basic mobile phone operations and using the internet and emails). PDA practices was the dependent variable (information backup, clearing and deleting). Findings The analysis consisted of two major parts: first the assessment of measurement model and second the structural equation modelling analysis. A significant impact of mobile self-efficacy (basic mobile phone operations, using internet and email) was found on all the sub-constructs (information backup, information clearing and information deleting) of PDA practices. However, using internet and email has no significant impact on the information clearing practices of undergraduate students of Pakistani universities. Originality/value This study is a valuable addition to the extant literature because no comprehensive research has been carried out on the impact of mobile self-efficacy and PDA through mobile phones. It also contributes theoretically in the form of the development of a validated instrument on mobile-based PDA. Additionally, it possesses practical value for information literacy instruction programs.
{"title":"Mobile self-efficacy as predictor of mobile-based personal digital archiving practices: a study of Pakistani undergraduates","authors":"Irfan Ali, N. Warraich","doi":"10.1108/el-05-2022-0107","DOIUrl":"https://doi.org/10.1108/el-05-2022-0107","url":null,"abstract":"Purpose The purpose of this study is to investigate the impact of mobile self-efficacy on personal digital archiving (PDA) practices of undergraduate students. Design/methodology/approach This study used a quantitative research design for achieving the objectives. The population consisted of undergraduate students from public sector universities (the top five) of Punjab, Pakistan, listed in the Higher Education Commission recognized general universities. The data were analysed by using SmartPLS, mobile self-efficacy was the independent variable that consisted of two constructs (basic mobile phone operations and using the internet and emails). PDA practices was the dependent variable (information backup, clearing and deleting). Findings The analysis consisted of two major parts: first the assessment of measurement model and second the structural equation modelling analysis. A significant impact of mobile self-efficacy (basic mobile phone operations, using internet and email) was found on all the sub-constructs (information backup, information clearing and information deleting) of PDA practices. However, using internet and email has no significant impact on the information clearing practices of undergraduate students of Pakistani universities. Originality/value This study is a valuable addition to the extant literature because no comprehensive research has been carried out on the impact of mobile self-efficacy and PDA through mobile phones. It also contributes theoretically in the form of the development of a validated instrument on mobile-based PDA. Additionally, it possesses practical value for information literacy instruction programs.","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121136491","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}
Purpose This paper aims to measure the perceptions of librarians about information literacy (IL) instruction, their current IL practices and the problems they face while offering IL instructional programs in public and private sector university libraries in Islamabad, the capital city of Pakistan. Design/methodology/approach A quantitative research design was adopted, and a survey was carried out for this study to collect the data through an online questionnaire for the university librarians. All librarians (a total of 120) were approached to collect the data, of whom 92 (76.6%) responded to the survey. Findings The findings reveal that the librarians working in the university libraries of Islamabad are aware of the significance of IL instruction to fulfil the information needs of their library users. A majority of the librarians indicated having adequate skills to offer IL instruction. Moreover, the majority of the librarians are offering IL instruction to users at their respective universities. However, some of the barriers affecting IL instruction programs were also reported including the absence of IL instruction courses in the library and information science (LIS) curriculum, a shortage of trained library professional staff to provide IL instruction, a lack of commitment among librarians for IL instruction, a lack of training opportunities for librarians and a lack of interest from library users. These obstacles have a negative effect on IL instruction in the university libraries of Islamabad. Therefore, this study suggests that librarians are needed to take several necessary steps to overcome these obstacles to achieve the best results in IL instruction programs. Originality/value This study presents a picture of the status of IL skills, current practices and barriers to offering IL instruction in the university libraries of Islamabad. This research bridges the gap in the existing literature and will help to create awareness about the importance of IL skills among LIS professionals in Pakistan. Moreover, the findings of this study will help encourage librarians for the enhancement of IL instruction services in university libraries of Islamabad in particular and Pakistan in general.
{"title":"Information literacy instruction in university libraries of Islamabad, Pakistan: a study of librarians' perceptions, practices, barriers, and strategies","authors":"G. M. Din, Muhammad Ijaz Mairaj, Arslan Sheikh","doi":"10.1108/el-10-2021-0193","DOIUrl":"https://doi.org/10.1108/el-10-2021-0193","url":null,"abstract":"\u0000Purpose\u0000This paper aims to measure the perceptions of librarians about information literacy (IL) instruction, their current IL practices and the problems they face while offering IL instructional programs in public and private sector university libraries in Islamabad, the capital city of Pakistan.\u0000\u0000\u0000Design/methodology/approach\u0000A quantitative research design was adopted, and a survey was carried out for this study to collect the data through an online questionnaire for the university librarians. All librarians (a total of 120) were approached to collect the data, of whom 92 (76.6%) responded to the survey.\u0000\u0000\u0000Findings\u0000The findings reveal that the librarians working in the university libraries of Islamabad are aware of the significance of IL instruction to fulfil the information needs of their library users. A majority of the librarians indicated having adequate skills to offer IL instruction. Moreover, the majority of the librarians are offering IL instruction to users at their respective universities. However, some of the barriers affecting IL instruction programs were also reported including the absence of IL instruction courses in the library and information science (LIS) curriculum, a shortage of trained library professional staff to provide IL instruction, a lack of commitment among librarians for IL instruction, a lack of training opportunities for librarians and a lack of interest from library users. These obstacles have a negative effect on IL instruction in the university libraries of Islamabad. Therefore, this study suggests that librarians are needed to take several necessary steps to overcome these obstacles to achieve the best results in IL instruction programs.\u0000\u0000\u0000Originality/value\u0000This study presents a picture of the status of IL skills, current practices and barriers to offering IL instruction in the university libraries of Islamabad. This research bridges the gap in the existing literature and will help to create awareness about the importance of IL skills among LIS professionals in Pakistan. Moreover, the findings of this study will help encourage librarians for the enhancement of IL instruction services in university libraries of Islamabad in particular and Pakistan in general.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126458353","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}
Si Shen, Chuan Jiang, Haotian Hu, Youshu Ji, Dongbo Wang
Purpose Reorganising unstructured academic abstracts according to a certain logical structure can help scholars not only extract valid information quickly but also facilitate the faceted search of academic literature. This study aims to build a high-performance model for identifying of the functional structures of unstructured abstracts in the social sciences. Design/methodology/approach This study first investigated the structuring of abstracts in academic articles in the field of social sciences, using large-scale statistical analyses. Then, the functional structures of sentences in the abstract in a corpus of more than 3.5 million abstracts were identified from sentence classification and sequence tagging by using several models based on either machine learning or a deep learning approach, and the results were compared. Findings The results demonstrate that the functional structures of sentences in abstracts in social science manuscripts include the background, purpose, methods, results and conclusions. The experimental results show that the bidirectional encoder representation from transformers exhibited the best performance, the overall F1 score of which was 86.23%. Originality/value The data set of annotated social science abstract is generated and corresponding models are trained on the basis of the data set, both of which are available on Github (https://github.com/Academic-Abstract-Knowledge-Mining/SSCI_Abstract_Structures_Identification). Based on the optimised model, a Web application for the identification of the functional structures of abstracts and their faceted search in social sciences was constructed to enable rapid and convenient reading, organisation and fine-grained retrieval of academic abstracts.
{"title":"A model for the identification of the functional structures of unstructured abstracts in the social sciences","authors":"Si Shen, Chuan Jiang, Haotian Hu, Youshu Ji, Dongbo Wang","doi":"10.1108/el-10-2021-0190","DOIUrl":"https://doi.org/10.1108/el-10-2021-0190","url":null,"abstract":"\u0000Purpose\u0000Reorganising unstructured academic abstracts according to a certain logical structure can help scholars not only extract valid information quickly but also facilitate the faceted search of academic literature. This study aims to build a high-performance model for identifying of the functional structures of unstructured abstracts in the social sciences.\u0000\u0000\u0000Design/methodology/approach\u0000This study first investigated the structuring of abstracts in academic articles in the field of social sciences, using large-scale statistical analyses. Then, the functional structures of sentences in the abstract in a corpus of more than 3.5 million abstracts were identified from sentence classification and sequence tagging by using several models based on either machine learning or a deep learning approach, and the results were compared.\u0000\u0000\u0000Findings\u0000The results demonstrate that the functional structures of sentences in abstracts in social science manuscripts include the background, purpose, methods, results and conclusions. The experimental results show that the bidirectional encoder representation from transformers exhibited the best performance, the overall F1 score of which was 86.23%.\u0000\u0000\u0000Originality/value\u0000The data set of annotated social science abstract is generated and corresponding models are trained on the basis of the data set, both of which are available on Github (https://github.com/Academic-Abstract-Knowledge-Mining/SSCI_Abstract_Structures_Identification). Based on the optimised model, a Web application for the identification of the functional structures of abstracts and their faceted search in social sciences was constructed to enable rapid and convenient reading, organisation and fine-grained retrieval of academic abstracts.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129029174","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}
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