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Journal Cover The Electronic Library
  [SJR: 0.543]   [H-I: 26]   [1017 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0264-0473
   Published by Emerald Homepage  [335 journals]
  • Investigation on the statistical methods in research studies of library
           and information science
    • Pages: 1070 - 1086
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1070-1086, November 2017.
      Purpose The statistical method plays an extremely important role in quantitative research studies in library and information science (LIS). The purpose of this paper is to investigate the status of statistical methods used in the field, their application areas and the temporal change patterns during a recent 15-year period. Design/methodology/approach The research papers in six major scholarly journals from 1999 to 2013 in LIS were examined. Factors including statistical methods, application areas and time period were analyzed using quantitative research methods including content analysis and temporal analysis methods. Findings The research studies using statistical methods in LIS have increased steadily. Statistical methods were more frequently used to solve problems in the information retrieval area than in other areas, and inferential statistical methods were used more often than predictive statistical methods and other statistical methods. Anomaly analysis on statistical method uses was conducted and four types of anomaly were specified. Originality/value The findings of this study can help educators, graduates and researchers in the field of LIS better understand the patterns and trends of the applications of statistical methods in this field, depict an overall picture of quantitative research studies in LIS from the perspective of statistical methods and discover the change patterns of statistical method applications in LIS between 1999 and 2013.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:47:03Z
      DOI: 10.1108/EL-02-2016-0042
  • Distinctive organisational business imperatives of Big Data: a literature
    • Pages: 1087 - 1097
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1087-1097, November 2017.
      Purpose The purpose of this study was to identify the business imperatives characteristic of an organisation that will benefit from the use of Big Data, to give business managers, knowledge workers and librarians guidance as to whether their business will benefit from the use of this technology. Design/methodology/approach A literature review was conducted to identify and categorise Big Data benefits into four overall benefit categories. This provided a basis to identify the business imperatives distinctive of an organisation that would be able to benefit from the use of Big Data. As a final step, the degree of impact of each of the benefit categories was concluded to assist business managers in the better understanding and evaluation of whether Big Data would be a suitable technology for their specific organisation. Findings The competitive advantage that a business can gain from the use of analysing large amounts of data (Big Data) is because it is equipped to utilise the information obtained through analysing the data in such a way that it provides better knowledge management within the organisation. The business imperatives and benefits identified in this study will assist organisations in evaluating whether Big Data will be a suitable technology for their organisation. Originality/value This paper provides a better understanding of business imperatives distinctive of organisations that can benefit from the use of Big Data.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:47:05Z
      DOI: 10.1108/EL-11-2015-0235
  • Factors affecting LIS Israeli students’ mobile phone use: an
           exploratory study
    • Pages: 1098 - 1121
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1098-1121, November 2017.
      Purpose Although the mobile phone is a popular gadget, only a few studies have examined the relationships between personality characteristics and mobile phone use. This study aims to integrate and extend the literature by focusing on various personality characteristics and motivations to fully understand the influence of these variables on mobile phone use. Design/methodology/approach The research was conducted in Israel during the first semester of the 2015 academic year and encompassed 181 library and information science students. Participants were asked to complete the following questionnaires: personal details, mobile usage, motivation, self-disclosure and personality characteristics (openness to experience and extroversion and loneliness). Findings The most common use of students’ mobile phones is for mobile voice communication. Further, results show that the major factors that influence individual mobile phone use are motivation and the time spent using the phone. In addition, results indicate that personality characteristics have a large impact on mobile phone use as well, and that the dominant ones are openness to experience and self-disclosure. Originality/value The current study expands the scope of research about mobile phone use by examining the different functions provided by mobile phones within the context of personality characteristics as well as motivation. Further, mobile phones now not only serve as a means of communication but also have become a central means in students’ lives to access their social network system of choice, search for information and enjoy online leisure activities.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:47:01Z
      DOI: 10.1108/EL-06-2016-0131
  • Applications of collaborative annotation system in digital curation,
           crowdsourcing, and digital humanities
    • Pages: 1122 - 1140
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1122-1140, November 2017.
      Purpose Collaboratively annotating digital texts allow users to add valued information, share ideas and create knowledge. Most importantly, annotated content can help users obtain a deeper and broader understanding of a text compared to digital content without annotations. This work proposes a novel collaborative annotation system (CAS) with four types of multimedia annotations including text annotation, picture annotation, voice annotation and video annotation which can embedded into any HTML Web pages to enable users to collaboratively add and manage annotations on these pages and provide a shared mechanism for discussing shared annotations among multiple users. By applying the CAS in a mashup on static HTML Web pages, this study aims to discuss the applications of CAS in digital curation, crowdsourcing and digital humanities to encourage existing strong relations among them. Design/methodology/approach This work adopted asynchronous JavaScript (Ajax) and a model-view-controller framework to implement a CAS with reading annotation tools for knowledge creating, archiving and sharing services, as well as applying the implemented CAS to support digital curation, crowdsourcing and digital humanities. A questionnaire survey method was used to investigate the ideas and satisfaction of visitors who attended a digital curation with CAS support in the item dimensions of the interactivity with displayed products, the attraction and the content absorption effect. Also, to collect qualitative data that may not be revealed by the questionnaire survey, semi-structured interviews were performed at the end of the digital curation exhibition activity. Additionally, the effects of the crowdsourcing and digital humanities with CAS support on collecting and organizing ideas and opinions for historical events and promoting humanity research outcomes were considered as future works because they all need to take a long time to investigate. Findings Based on the questionnaire survey, this work found that the digital curation with CAS support revealed the highest rating score in terms of the item dimension of attraction effect. The result shows applying CAS to support digital curation is practicable, novel and interesting to visitors. Additionally, this work also successfully applied the developed CAS to crowdsourcing and digital humanities so that the two research fields may be brought into a new ground. Originality/value Based on the CAS, this work developed a novel digital curation approach which has a high degree of satisfaction on attraction effect to visitors, an innovative crowdsourcing platform that combined with a digital archive system to efficiently gather collective intelligence to solve the difficult problems of identifying digital archive contents and a high potential digital humanity research mode that can assist humanities scholars to annotate the texts with distinct interpretation and viewpoints on an ancient map, as well as discuss with other humanities scholars to stimulate discussion on more issues.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:50Z
      DOI: 10.1108/EL-08-2016-0172
  • Engineering researchers’ data reuse behaviours: a structural
           equation modelling approach
    • Pages: 1141 - 1161
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1141-1161, November 2017.
      Purpose The purpose of this research is to investigate the factors that influence engineering researchers’ data reuse behaviours. Design/methodology/approach The data reuse behaviour model of engineering researchers was investigated by using a survey method. A national survey was distributed to engineering researchers in the USA, and a total of 193 researchers responded. Findings The results showed that perceived usefulness, perceived concerns and norms of data reuse have significant relationships with attitudes toward data reuse. Also, attitudes toward data reuse and the availability of data repositories were found to have significant influences on engineering researchers’ intention to reuse data. Research limitations/implications This research used a combined theoretical framework by integrating the theory of planned behaviour (TPB) and the technology acceptance model (TAM). The combination of the TPB and the TAM effectively explained engineering researchers’ data reuse behaviours by addressing individual motivations, norms and resource factors. Practical implications This research has practical implications for promoting more reliable and beneficial data reuse in the engineering community, including encouraging positive motivations toward data reuse, building community norms of data reuse and setting up more data repositories. Originality value As prior research on data reuse mainly used interviews, this research used a quantitative approach based on a combined theoretical framework and included diverse research constructs which were not tested in the previous research models. As one of the initial studies investigating data reuse behaviours in the engineering community, the current research provided a better understanding of data reuse behaviours and suggested possible ways to facilitate engineering researchers’ data reuse behaviours.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:48Z
      DOI: 10.1108/EL-08-2016-0163
  • Assessment of global law and psychiatry research in the period of
    • Pages: 1162 - 1176
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1162-1176, November 2017.
      Purpose The purpose of the present study is to analyze highly cited articles and global research emphases and trends of law and psychiatry (L&P) research during the period of 1993 to 2012 from the Web of Science (WOS) database. Besides the analysis of highly cited articles to learn about the classic articles and intellectual base of the L&P research domain, an attempt is made to detect research emphases and trends of the study field. Design/methodology/approach The present study applies quantitative analyses of citations of scientific publications to find highly cited articles and summarizes research hotspots and trends on L&P research articles from WOS during 1993-2012 using statistical analysis of words in titles, KeyWords Plus, author keywords and co-keywords. Findings The top 21 highly cited articles of research on L&P were found; most of the highly cited papers used survey research to measure patterns of violence of psychiatric patients. This present study identified forensic psychiatry, mental health and criminal offenders were the continuing mainstream topics in the L&P field and risk assessment, risk factors and risk management of violent behavior, legislation for sexual offences, mental health courts, recidivism and expert testimony were recent research emphases and trends of the study field. On the contrary, psychiatric hospitalization, psychiatrist-patient, community and services were not mainstream topics in the study field and were of decreasing importance and popularity in L&P research. Additionally, the topics of violent behavior and risk assessment have developed to a significant subgroup of L&P research. Finally, research emphases and trends in the L&P field were found based on the co-keywords cluster map and density map. Originality/value This is the first study to quantify and detect research emphases and trends in L&P from the WOS during 1993-2012, which may provide the groundwork for future studies of the L&P research domain, and offer some important suggestions and implications for professional researchers, specialists, publications’ editors and public policy makers concerned with the domain.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:43Z
      DOI: 10.1108/EL-04-2017-0081
  • Information security behaviors of smartphone users in China: an empirical
    • Pages: 1177 - 1190
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1177-1190, November 2017.
      Purpose Understanding user behavior is increasingly critical for information security in the use of smartphones. There is, however, lack of empirical studies about the behavior of smartphone users for information security in China. The purpose of this paper is to present an empirical analysis of the behavior of smartphone users in China in relation to information security. Design/methodology/approach A review of the related literature is conducted, leading to the development of a questionnaire for investigating the behavior of smartphone users. An online survey of the smartphone users in China is conducted. The collected data are analyzed with the use of descriptive analysis and Pearson’s chi-square test to better understand the behavior of smartphone users on information security. Findings The paper shows that there are serious concerns about information security in the use of smartphones in China including the ignorance of security information in downloading and using applications, inadequate phone settings, inappropriate enabling of add-on utilities and lack of proper disaster recovery plans. The study also reveals that there is a significant difference between different groups of users on information security in smartphone use. Research limitations/implications This paper is based on a purposeful sample of smartphone users in China. It is exploratory in nature. Practical implications The paper can lead to a better understanding of the behavior of smartphone users and information security in China and provide relevant government departments and institutions with useful information for developing appropriate strategies and policies and designing specific training programs to improve information security in the smartphone use. Originality/value This paper is the first of this kind to collect quantitative data from users in China for better understanding the behavior of smartphone users on information security. It provides insight towards the adoption of various measures for information security from the perspective of smartphone users in China.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:52Z
      DOI: 10.1108/EL-09-2016-0183
  • Semantic text-based image retrieval with multi-modality ontology and
    • Pages: 1191 - 1214
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1191-1214, November 2017.
      Purpose The purpose of this study is to reduce the semantic distance by proposing a model for integrating indexes of textual and visual features via a multi-modality ontology and the use of DBpedia to improve the comprehensiveness of the ontology to enhance semantic retrieval. Design/methodology/approach A multi-modality ontology-based approach was developed to integrate high-level concepts and low-level features, as well as integrate the ontology base with DBpedia to enrich the knowledge resource. A complete ontology model was also developed to represent the domain of sport news, with image caption keywords and image features. Precision and recall were used as metrics to evaluate the effectiveness of the multi-modality approach, and the outputs were compared with those obtained using a single-modality approach (i.e. textual ontology and visual ontology). Findings The results based on ten queries show a superior performance of the multi-modality ontology-based IMR system integrated with DBpedia in retrieving correct images in accordance with user queries. The system achieved 100 per cent precision for six of the queries and greater than 80 per cent precision for the other four queries. The text-based system only achieved 100 per cent precision for one query; all other queries yielded precision rates less than 0.500. Research limitations/implications This study only focused on BBC Sport News collection in the year 2009. Practical implications The paper includes implications for the development of ontology-based retrieval on image collection. Originality value This study demonstrates the strength of using a multi-modality ontology integrated with DBpedia for image retrieval to overcome the deficiencies of text-based and ontology-based systems. The result validates semantic text-based with multi-modality ontology and DBpedia as a useful model to reduce the semantic distance.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:34Z
      DOI: 10.1108/EL-06-2016-0127
  • Using author tri-citation analysis to map knowledge domains in knowledge
    • Pages: 1215 - 1224
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1215-1224, November 2017.
      Purpose Previous commonly used author co-citation analysis (ACA) methods have limited the ability to deal with accidental co-citation in constructing a raw co-citation matrix. Therefore, the purpose of this paper is to propose a new method, called author tri-citation analysis (ATA), to better map knowledge domains and depict scientific intellectual structures. Design/methodology/approach Different from the previous method of using ACA that captures author co-citation relationships, the ATA method seeks tri-citation relationships among authors. Compared with ACA, ATA can ignore some accidental co-citation relationships between authors and can improve the accuracy of mapping knowledge domains. Findings Although ATA does not mine more sub-fields than ACA does, the results of the empirical studies show that ATA, the newly proposed method, performs better in knowledge domain maps based on publications in the field of computer science. Research limitations/implications The definition of ATA in this article is simple and still insufficiently informative. Many other pieces of information can be involved; for example, all authors’ information, authors’ sequence in the author list, reference published time and similar. These can be enhanced in future studies. Practical implications This research will enrich the methods of mapping knowledge domains due to its new perspective. Social implications Knowledge domain mapping is important to understand a discipline, and this research provides more potential methods for this, which benefits the performance of the maps. Originality/value ATA can provide a methodological awareness for mapping knowledge domains. This value lies in not only a tri-citation perspective, but also author bibliographic tripling and author tri-operation perspectives (“tri-” perspectives).
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:56Z
      DOI: 10.1108/EL-11-2016-0240
  • Factors influencing the adoption of digital reference services among the
           university librarians in Pakistan
    • Pages: 1225 - 1246
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1225-1246, November 2017.
      Purpose This study aims to explore the factors affecting the adoption of digital reference services (DRS) among the university librarians in Pakistan. Design/methodology/approach Based on the adapted unified theory of acceptance and use of technology (UTAUT) model, the proposed study tested 12 hypothetical relationships through structural equation modelling (SEM) techniques. The study approach was quantitative based on a questionnaire distributed online to a sample of Pakistani university librarians and completed by 289 respondents. The questionnaire used in this study was developed from other validated instruments used in past empirical studies. Descriptive and inferential data analyses were performed through SPSS and AMOS for SEM. Findings The results revealed usefulness, ease of use and information and communication technology (ICT) skills as the significant predictors of the adoption of DRS. However, moderating influence of the demographic factors (age, gender and type of library) on the relationship of predictors with outcome variable was found insignificant. The findings of this study imply that individuals’ readiness for the adoption of DRS is present in the university libraries of Pakistan. Originality/value In the context of Pakistan, this study was the first attempt that investigated factors of the adoption of DRS at individual level. In addition, two new factors – namely, ICT skills and library type – were incorporated into the UTAUT model and were then evaluated in the Pakistani context. However, these two factors were found insignificant in influencing librarians towards the adoption of DRS. The intended study is equally useful for librarians in other countries in terms of understanding the factors that impact the effective adoption of DRS.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:36Z
      DOI: 10.1108/EL-05-2016-0112
  • Publications by faculty members indexed in Science Citation Index and
           Scopus: an Iranian case study
    • Pages: 1247 - 1258
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1247-1258, November 2017.
      Purpose The paper aims to report an investigation that was conducted to identify the scholarly publications by faculty members of the Allameh Tabataba’i University that were indexed in two international databases, Science Citation Index (SCI) and Scopus, from the year the databases first included Iranian-authored papers (1987 and 1989, respectively) through the end of 2015. Design methodology/approach Scientometric methods and social network analysis techniques were used to conduct the study and to analyze the co-authorship network. Both quantitative and qualitative analyses were carried out on the data. Quantitative analysis was accomplished using Microsoft Excel, while the qualitative analysis was carried out using HistCite, VOSviewer and Pajek software. Findings Faculty members had the most international cooperation with colleagues from the USA and Switzerland, and they jointly authored papers with faculty and staff from other universities within Iran. The three institutions with the highest rate of co-authorship included the Islamic Azad University, Tehran University and Amir Kabir University of Technology. Practical implications The overall overlap among the two databases was about 21 per cent. The number of papers indexed by Scopus (583 records) was more than that by SCI (410 records). The total number of papers at an international level was much lower than that at the national level (6,426 records) in both the databases. Originality/value This paper provides insight into the scholarly works by the faculty of Allameh Tabataba’i University indexed in two international databases, SCI and Scopus. It also examines the co-authorship network structure.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:57Z
      DOI: 10.1108/EL-04-2016-0102
  • Magnetism of WhatsApp among veterinary students
    • Pages: 1259 - 1267
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1259-1267, November 2017.
      Purpose Instant messaging (IM) apps like WhatsApp have given an impetus to rapid sharing of information through multimedia messages in this information age and their clear impact has been noticed in the academic sector. The present study is conducted with the aim to understand the magnetism of WhatsApp among veterinary students. The major purpose of the study is to analyse the use of WhatsApp for academic proposes with a special emphasis on its impact on studies. Design/methodology/approach Data were collected from students of Guru Angad Dev Veterinary and Animal Sciences University (GADVASU) using questionnaires as a tool. Questionnaires were randomly distributed among 100 postgraduate (PG) and 100 undergraduate (UG) students. In total, 78 PG and 77 UG students responded to the survey. Findings More than 90 per cent of the students were using WhatsApp for academic purposes. More UG students were using WhatsApp to chat, share images/videos and so forth for academic purposes as compared to PG students. Nearly two-thirds of the students admitted that addiction to using WhatsApp diverted attention from doing any other kind of activity. More than 75 per cent of the users were using WhatsApp while studying at their home or hostel. About 28 per cent of the students said that the use of WhatsApp had affected their studies, and more than 60 per cent of these students noticed a positive effect. Originality/value WhatsApp increases knowledge sharing, leading to enhanced creativity. Thus, WhatsApp can contribute significantly to the academic community by users consciously controlling its use and not allowing its addictive nature to divert attention from their studies.
      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:59Z
      DOI: 10.1108/EL-04-2016-0086
  • Exploring Discovery: The Front Door to Your Library’s Licensed and
           Digitized Content
    • Pages: 1268 - 1269
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1268-1269, November 2017.

      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:33Z
      DOI: 10.1108/EL-07-2017-0157
  • Deep Text: Using Text Analytics to Conquer Information Overload, Get Real
           Value from Social Media, and Add Big(ger) Text to Big Data
    • Pages: 1269 - 1270
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1269-1270, November 2017.

      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:47Z
      DOI: 10.1108/EL-09-2017-0188
  • Digital photo magic: easy image retouching and restoration for librarians,
           archivists and teachers
    • Pages: 1270 - 1271
      Abstract: The Electronic Library, Volume 35, Issue 6, Page 1270-1271, November 2017.

      Citation: The Electronic Library
      PubDate: 2017-11-28T02:46:32Z
      DOI: 10.1108/EL-08-2017-0170
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