for Journals by Title or ISSN
for Articles by Keywords
help
Journal Cover
Library Hi Tech
Journal Prestige (SJR): 0.427
Citation Impact (citeScore): 1
Number of Followers: 1292  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0737-8831
Published by Emerald Homepage  [342 journals]
  • Library management and innovation in the Big Data Era
    • Pages: 374 - 377
      Abstract: Library Hi Tech, Volume 36, Issue 3, Page 374-377, September 2018.

      Citation: Library Hi Tech
      PubDate: 2018-06-04T01:36:50Z
      DOI: 10.1108/LHT-09-2018-272
       
  • Embedding funding consultation in library services
    • Pages: 378 - 399
      Abstract: Library Hi Tech, Volume 36, Issue 3, Page 378-399, September 2018.
      Purpose Although interdisciplinary research is an increasing trend in scientific funding projects, they are suffering from a lower probability of being funded. The purpose of this paper is to analyze the current situation on successful case of funding application and provides suggestions on how libraries can expand services to help scientific funding application. Design/methodology/approach This paper utilizes the co-occurrences of disciplinary application codes to construct an interdisciplinary knowledge flow network. Based on 193517 sponsored projects of the National Natural Science Foundation of China, the authors study the interdisciplinary flow of knowledge and investigate the evolution of network structure using social network analysis. Findings Results show that the interdisciplinary knowledge flow network is not only a small-world network but also a scale-free network. Two main knowledge flow paths across scientific departments exist, showing the heterogeneity of knowledge distributions across scientific disciplines. The authors also find that if two disciplines in the same scientific department both have a wide influence to other disciplines, they are more prone to link together and create a knowledge chain. Originality/value Funding consultation currently has not occupied an advisory role either in library services or in the research team. This paper conducts a co-occurrences network analysis of interdisciplinary knowledge flow in scientific funding projects. Considering the complexity of funding application and the advantage of traditional library services on information collection, integration, and utilization, the authors conclude the possibility and necessity of embedding funding consultation in traditional library services.
      Citation: Library Hi Tech
      PubDate: 2018-05-23T02:07:01Z
      DOI: 10.1108/LHT-06-2017-0127
       
  • Discovering research topics from library electronic references using
           latent Dirichlet allocation
    • Pages: 400 - 410
      Abstract: Library Hi Tech, Volume 36, Issue 3, Page 400-410, September 2018.
      Purpose Discovering the research topics and trends from a large quantity of library electronic references is essential for scientific research. Current research of this kind mainly depends on human justification. The purpose of this paper is to demonstrate how to identify research topics and evolution in trends from library electronic references efficiently and effectively by employing automatic text analysis algorithms. Design/methodology/approach The authors used the latent Dirichlet allocation (LDA), a probabilistic generative topic model to extract the latent topic from the large quantity of research abstracts. Then, the authors conducted a regression analysis on the document-topic distributions generated by LDA to identify hot and cold topics. Findings First, this paper discovers 32 significant research topics from the abstracts of 3,737 articles published in the six top accounting journals during the period of 1992-2014. Second, based on the document-topic distributions generated by LDA, the authors identified seven hot topics and six cold topics from the 32 topics. Originality/value The topics discovered by LDA are highly consistent with the topics identified by human experts, indicating the validity and effectiveness of the methodology. Therefore, this paper provides novel knowledge to the accounting literature and demonstrates a methodology and process for topic discovery with lower cost and higher efficiency than the current methods.
      Citation: Library Hi Tech
      PubDate: 2018-02-19T02:44:52Z
      DOI: 10.1108/LHT-06-2017-0132
       
  • Text mining based theme logic structure identification: application in
           library journals
    • Pages: 411 - 425
      Abstract: Library Hi Tech, Volume 36, Issue 3, Page 411-425, September 2018.
      Purpose Library intelligence institutions, which are a kind of traditional knowledge management organization, are at the frontline of the big data revolution, in which the use of unstructured data has become a modern knowledge management resource. The paper aims to discuss this issue. Design/methodology/approach This research combined theme logic structure (TLS), artificial neural network (ANN), and ensemble empirical mode decomposition (EEMD) to transform unstructured data into a signal-wave to examine the research characteristics. Findings Research characteristics have a vital effect on knowledge management activities and management behavior through concentration and relaxation, and ultimately form a quasi-periodic evolution. Knowledge management should actively control the evolution of the research characteristics because the natural development of six to nine years was found to be difficult to plot. Originality/value Periodic evaluation using TLS-ANN-EEMD gives insights into journal evolution and allows journal managers and contributors to follow the intrinsic mode functions and predict the journal research characteristics tendencies.
      Citation: Library Hi Tech
      PubDate: 2018-03-27T10:27:15Z
      DOI: 10.1108/LHT-10-2017-0211
       
  • Hakka genealogical migration analysis enhancement using big data on
           library services
    • Pages: 426 - 442
      Abstract: Library Hi Tech, Volume 36, Issue 3, Page 426-442, September 2018.
      Purpose The purpose of this paper is to explore the data connection, spatial distribution characteristics and trends in genealogical information. First, it implements a spatial-temporal visualization of the Hakka genealogical information system that makes these individual family pedigree charts appear as one seamless genealogy to family and researchers seeking connections and family history all over the world. Second, this study applies migration analysis by applying big data technologies to Hakka genealogies to investigate the migration patterns of the Hakka ethnic group in Taiwan between 1954 and 2014. This innovative library service enhances the Hakka genealogical migration analysis using big data. Design/methodology/approach The platform is designed for the exchange of genealogical data to be used in big data analysis. This study integrates big data and geographic information systems (GIS) to map the population distribution themes. The general procedure included collecting genealogical big data, geographic encoding, gathering the map information, GIS layer integration and migration map production. Findings The analytical results demonstrate that big data technology is highly appropriate for family migration history analysis, given the increasing volume, velocity and variety of genealogical data. The spatial-temporal visualization of the genealogical research platform can follow family history and migration paths, and dynamically generate roadmaps to simplify the cartographic steps. Practical implications Technology that combines big data and GIS is suitable for performing migration analysis based on genealogy. A web-based application for spatial-temporal genealogical information also demonstrates the contribution of innovative library services. Social implications Big data play a dominant role in library services, and in turn, provide an active library service. These findings indicate that big data technology can provide a suitable tool for improving library services. Originality/value Online genealogy and family trees are linked with large-volume, growing data sets that are complex and have multiple, autonomous sources. The migration analysis using big data has the potential to help genealogy researchers to construct minority ethnic history.
      Citation: Library Hi Tech
      PubDate: 2018-03-27T10:28:54Z
      DOI: 10.1108/LHT-08-2017-0172
       
  • Collaborative matrix factorization mechanism for group recommendation in
           big data-based library systems
    • Pages: 458 - 481
      Abstract: Library Hi Tech, Volume 36, Issue 3, Page 458-481, September 2018.
      Purpose Academic groups are designed specifically for researchers. A group recommendation procedure is essential to support scholars’ research-based social activities. However, group recommendation methods are rarely applied in online libraries and they often suffer from scalability problem in big data context. The purpose of this paper is to facilitate academic group activities in big data-based library systems by recommending satisfying articles for academic groups. Design/methodology/approach The authors propose a collaborative matrix factorization (CoMF) mechanism and implement paralleled CoMF under Hadoop framework. Its rationale is collaboratively decomposing researcher-article interaction matrix and group-article interaction matrix. Furthermore, three extended models of CoMF are proposed. Findings Empirical studies on CiteULike data set demonstrate that CoMF and three variants outperform baseline algorithms in terms of accuracy and robustness. The scalability evaluation of paralleled CoMF shows its potential value in scholarly big data environment. Research limitations/implications The proposed methods fill the gap of group-article recommendation in online libraries domain. The proposed methods have enriched the group recommendation methods by considering the interaction effects between groups and members. The proposed methods are the first attempt to implement group recommendation methods in big data contexts. Practical implications The proposed methods can improve group activity effectiveness and information shareability in academic groups, which are beneficial to membership retention and enhance the service quality of online library systems. Furthermore, the proposed methods are applicable to big data contexts and make library system services more efficient. Social implications The proposed methods have potential value to improve scientific collaboration and research innovation. Originality/value The proposed CoMF method is a novel group recommendation method based on the collaboratively decomposition of researcher-article matrix and group-article matrix. The process indirectly reflects the interaction between groups and members, which accords with actual library environments and provides an interpretable recommendation result.
      Citation: Library Hi Tech
      PubDate: 2018-02-05T03:45:33Z
      DOI: 10.1108/LHT-06-2017-0121
       
  • Characterizing queries in cross-device OPAC search: a large-scale log
           study
    • Pages: 482 - 497
      Abstract: Library Hi Tech, Volume 36, Issue 3, Page 482-497, September 2018.
      Purpose The study focused on online public access catalog (OPAC) users’ cross-device search behavior. The purpose of this paper is to understand the characteristics of cross-device OPAC searches, and to identify query reformulation (QR) patterns during device transitions. Design/methodology/approach The transaction log from a university library, spanning six months, was used to conduct the quantitative analysis. The query vocabulary richness, which refers to the average number of unique words each query contains in a search session, can evaluate query diversity, and contribute to the analysis of QR. Findings The results show that PC-PC transition is the most important pattern of device transition. The time interval of device transition was different to the time interval of transitions in web searches. Short device transitions mainly occurred in daytime, and the number of transitions that occurred in less than one minute was higher than on the web. Searches for Industry and Technology triggered the most device transitions, and the users tended to choose the same search field. In addition, the authors made a detailed analysis of the reasons for same-type device transitions and different-type device transitions. Furthermore, the authors focused on the characteristics of adjacent QR patterns. The authors not only refined the concept of cross-device to include the same-type device transition, but also summarized the characteristics of the cross-device QR patterns, which can be used to predict post-switch queries. Originality/value This study extends research into cross-device interaction and cross-device search to the domain of digital library research. The authors also introduced QR perspective on cross-device interaction on OPAC.
      Citation: Library Hi Tech
      PubDate: 2018-04-13T12:15:29Z
      DOI: 10.1108/LHT-06-2017-0130
       
  • A Big Data smart library recommender system for an educational institution
    • Pages: 498 - 523
      Abstract: Library Hi Tech, Volume 36, Issue 3, Page 498-523, September 2018.
      Purpose With the exponential growth of the amount of data, the most sophisticated systems of traditional libraries are not able to fulfill the demands of modern business and user needs. The purpose of this paper is to present the possibility of creating a Big Data smart library as an integral and enhanced part of the educational system that will improve user service and increase motivation in the continuous learning process through content-aware recommendations. Design/methodology/approach This paper presents an approach to the design of a Big Data system for collecting, analyzing, processing and visualizing data from different sources to a smart library specifically suitable for application in educational institutions. Findings As an integrated recommender system of the educational institution, the practical application of Big Data smart library meets the user needs and assists in finding personalized content from several sources, resulting in economic benefits for the institution and user long-term satisfaction. Social implications The need for continuous education alters business processes in libraries with requirements to adopt new technologies, business demands, and interactions with users. To be able to engage in a new era of business in the Big Data environment, librarians need to modernize their infrastructure for data collection, data analysis, and data visualization. Originality/value A unique value of this paper is its perspective of the implementation of a Big Data solution for smart libraries as a part of a continuous learning process, with the aim to improve the results of library operations by integrating traditional systems with Big Data technology. The paper presents a Big Data smart library system that has the potential to create new values and data-driven decisions by incorporating multiple sources of differential data.
      Citation: Library Hi Tech
      PubDate: 2018-04-19T09:00:48Z
      DOI: 10.1108/LHT-06-2017-0131
       
  • Digital preservation at Big Data scales: proposing a step-change in
           preservation system architectures
    • Pages: 524 - 538
      Abstract: Library Hi Tech, Volume 36, Issue 3, Page 524-538, September 2018.
      Purpose The purpose of this paper is to consider how digital preservation system architectures will support business analysis of large-scale collections of preserved resources, and the use of Big Data analyses by future researchers. Design/methodology/approach This paper reviews the architecture of existing systems, then discusses experimental surveys of large digital collections using existing digital preservation tools at Big Data scales. Finally, it introduces the design of a proposed new architecture to work with Big Data volumes of preserved digital resources – also based upon experience of managing a collection of 30 million digital images. Findings Modern visualisation tools enable business analyses based on file-related metadata, but most currently available systems need more of this functionality “out-of-the-box”. Scalability of preservation architecture to Big Data volumes depends upon the ability to run preservation processes in parallel, so indexes that enable effective sub-division of collections are vital. Not all processes scale easily: those that do not require complex management. Practical implications The complexities caused by scaling up to Big Data volumes can be seen as being at odds with preservation, where simplicity matters. However, the sustainability of preservation systems relates directly to their usefulness, and maintaining usefulness will increasingly depend upon being able to process digital resources at Big Data volumes. An effective balance between these conflicting situations must be struck. Originality/value Preservation systems are at a step-change as they move to Big Data scale architectures and respond to more technical research processes. This paper is a timely illustration of the state of play at this pivotal moment.
      Citation: Library Hi Tech
      PubDate: 2018-01-24T02:57:21Z
      DOI: 10.1108/LHT-06-2017-0122
       
  • Long-term preservation of big data: prospects of current storage
           technologies in digital libraries
    • Pages: 539 - 555
      Abstract: Library Hi Tech, Volume 36, Issue 3, Page 539-555, September 2018.
      Purpose The purpose of this paper is to investigate the prospects of current storage technologies for long-term preservation of big data in digital libraries. Design/methodology/approach The study employs a systematic and critical review of the relevant literature to explore the prospects of current storage technologies for long-term preservation of big data in digital libraries. Online computer databases were searched to identify the relevant literature published between 2000 and 2016. A specific inclusion and exclusion criterion was formulated and applied in two distinct rounds to determine the most relevant papers. Findings The study concludes that the current storage technologies are not viable for long-term preservation of big data in digital libraries. They can neither fulfil all the storage demands nor alleviate the financial expenditures of digital libraries. The study also points out that migrating to emerging storage technologies in digital libraries is a long-term viable solution. Research limitations/implications The study suggests that continuous innovation and research efforts in current storage technologies are required to lessen the impact of storage shortage on digital libraries, and to allow emerging storage technologies to advance further and take over. At the same time, more aggressive research and development efforts are required by academics and industry to further advance the emerging storage technologies for their timely and swift adoption by digital libraries. Practical implications The study reveals that digital libraries, besides incurring significant financial expenditures, will suffer from potential loss of information due to storage shortage for long-term preservation of big data, if current storage technologies are employed by them. Therefore, policy makers and practitioners should meticulously choose storage technologies for long-term preservation of big data in digital libraries. Originality/value This type of holistic study that investigates the prospects of magnetic drive technology, solid-state drive technology, and data-reduction techniques for long-term preservation of big data in digital libraries has not been conducted in the field previously, and so provides a novel contribution. The study arms academics, practitioners, policy makers, and industry with the deep understanding of the problem, technical details to choose storage technologies meticulously, greater insight to frame sustainable policies, and opportunities to address various research problems.
      Citation: Library Hi Tech
      PubDate: 2018-01-26T03:05:29Z
      DOI: 10.1108/LHT-06-2017-0117
       
  • Correlational analysis of topic specificity and citations count of
           publication venues
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose Citation analysis is an important measure for the assessment of quality and impact of academic entities (authors, papers and publication venues) used for ranking of research articles, authors and publication venues. It is a common observation that high-level publication venues, with few exceptions (Nature, Science and PLOS ONE), are usually topic specific. The purpose of this paper is to investigate the claim correlation analysis between topic specificity and citation count of different types of publication venues (journals, conferences and workshops). Design/methodology/approach The topic specificity was calculated using the information theoretic measure of entropy (which tells us about the disorder of the system). The authors computed the entropy of the titles of the papers published in each venue type to investigate their topic specificity. Findings It was observed that venues usually with higher citations (high-level publication venues) have low entropy and venues with lesser citations (not-high-level publication venues) have high entropy. Low entropy means less disorder and more specific to topic and vice versa. The input data considered here were DBLP-V7 data set for the last 10 years. Experimental analysis shows that topic specificity and citation count of publication venues are negatively correlated to each other. Originality/value This paper is the first attempt to discover correlation between topic sensitivity and citation counts of publication venues. It also used topic specificity as a feature to rank academic entities.
      Citation: Library Hi Tech
      PubDate: 2018-10-11T08:37:11Z
      DOI: 10.1108/LHT-03-2018-0042
       
  • An empirical study on the factors influencing mobile library usage in IoT
           era
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to construct an information ecology factor-TAM model to explore how information, people, and information environment impact mobile library users’ behavioral intention. Design/methodology/approach An empirical study based on an information ecology factor-TAM model. Findings The results of model test indicate that information, people, and information environment affect users’ behavioral intention to use mobile library in the information ecology environment. This paper provides a new theoretical perspective to understand users’ behavior of mobile library. It also provides practical guidelines to promote the usage of mobile library. Originality/value Internet of Things makes digital library one important channel for people to obtain information. Mobile internet makes it possible to access a variety of information anytime and anywhere. With the rapid grow of the number of mobile internet users, the usage of mobile library does not grow correspondingly. This paper explores the reasons.
      Citation: Library Hi Tech
      PubDate: 2018-10-03T07:58:22Z
      DOI: 10.1108/LHT-01-2018-0008
       
  • Libraries in Internet of Things (IoT) era
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose Internet of Things (IoT) has been widely adopted in the commercial sector. Although IoT enables traditional libraries to convert into digital ones, the implementation of the IoT in libraries is slow. The purpose of this paper is to report on the current state of research on applications of IoT in libraries, describe challenges that IoT applications face in libraries and discus directions of adopting IoT in libraries in the future. Design/methodology/approach To conduct this research, the literature of IoT and its application in libraries were reviewed by examining existing literature in Institute of Electrical and Electronics Engineers (IEEE) Xplore. Findings The literature review finds that radio-frequency identification has been adopted by digital libraries. The slow implementation of IoT is caused by security and privacy issues, lack of standards and the lack of financial, technological and organizational resources. This study provides a prospective for the application of IoT in libraries; the technologies of IoT have the potential in betterment of library services. Research limitations/implications The limitation of this study is that only IEEE Xplore is included. Other database should be explored in future research. Originality/value The application of IoT in libraries is an emerging issue; a systematic and extensive review of recent research on applications of IoT in libraries is unavailable. This paper presents an overview of IoT in libraries, findings and potential research opportunities.
      Citation: Library Hi Tech
      PubDate: 2018-09-18T07:30:39Z
      DOI: 10.1108/LHT-11-2017-0233
       
  • Tolerance analysis in scale-free social networks with varying degree
           exponents
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose There are many complex networks like World-Wide Web, internet and social networks have been reported to be scale-free. The major property of scale-free networks is their degree distributions are in power law form. Generally, the degree exponents of scale-free networks fall into the range of (2, 3). The purpose of this paper is to investigate other situations where the degree exponents may lie outside the range. Design/methodology/approach In this paper, analysis has been carried out by varying the degree exponents in the range of (0.5, 4.5). In total, 243 scenarios have been generated with varying network size of 1,000, 2,000 and 4,000, and degree exponents in the range of (0.5, 4.5) using interval of 0.05. Findings The following five indicators have been investigated: average density, average clustering coefficient, average path length, average diameter and average node degree. These indicators vary with the network size and degree exponent. If certain indicators do not satisfy with the user requirement using degree exponents of (2, 3), one can further increase or decrease the value with tradeoff. Results recommend that for degree exponents in (0.5, 2), 26 possible scale-free networks can be selected whereas for (3, 4.5), 41 possible scale-free networks can be selected, assuming a 100 percent deviation on the network parameters. Originality/value A tolerance analysis is given for the tradeoff and guideline is drawn to help better design of scale-free network for degree exponents in range of (0.5, 2) and (3, 4.5) using network size 1,000, 2,000 and 4,000. The methodology is applicable to any network size.
      Citation: Library Hi Tech
      PubDate: 2018-09-11T07:46:51Z
      DOI: 10.1108/LHT-07-2017-0146
       
  • Enhancing the customer relationship management in public libraries
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to investigate the possibilities of implementing the customer relationship management (CRM) concept and smart technologies in public libraries in developing countries. The goal was to explore the level of librarians’ awareness about CRM concept and their willingness to accept the CRM concept in libraries. Also, patrons’ satisfaction with the quality of services and relationships in public libraries is explored. Design/methodology/approach The authors obtained data for this research through two online surveys. The first survey measures librarians’ level of awareness about CRM concept and their perception about CRM and smart technologies concept in public libraries in three developing countries: Serbia, Montenegro and Bosnia and Herzegovina. The second survey measures patrons’ satisfaction with services and relationship in public libraries in these three countries. Findings The research results revealed that most surveyed librarians are familiar with the CRM concept. However, libraries in these three developing countries barely use CRM or smart technologies to improve the relationship with stakeholders. Also, most patrons are satisfied with relationships and services. The analysis of data indicates no significant difference in the satisfaction level among patrons between these three developing countries. Research limitations/implications Not all libraries participated in this research. Therefore, the sample is not distributed evenly across different types of libraries or user groups. Future research should include different types of libraries. Practical implications The results can be used by public libraries in developing countries to improve the relationship with stakeholders harnessing CRM concept and smart technologies. Social implications The use of CRM in combination with the smart technologies can help leverage the quality of the relationship between public libraries and stakeholders which in turn would secure their support and loyalty in the future. Originality/value The integration of CRM concept as a component of library business automation process is an idea that has not been discussed widely in the library community and could initiate a positive trend in public libraries in developing countries.
      Citation: Library Hi Tech
      PubDate: 2018-09-05T10:55:31Z
      DOI: 10.1108/LHT-07-2017-0138
       
  • Evaluation of Google question-answering quality
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to evaluate Google question-answering (QA) quality. Design/methodology/approach Given the large variety and complexity of Google answer boxes in search result pages, existing evaluation criteria for both search engines and QA systems seemed unsuitable. This study developed an evaluation criteria system for the evaluation of Google QA quality by coding and analyzing search results of questions from a representative question set. The study then evaluated Google’s overall QA quality as well as QA quality across four target types and across six question types, using the newly developed criteria system. ANOVA and Tukey tests were used to compare QA quality among different target types and question types. Findings It was found that Google provided significantly higher-quality answers to person-related questions than to thing-related, event-related and organization-related questions. Google also provided significantly higher-quality answers to where- questions than to who-, what- and how-questions. The more specific a question is, the higher the QA quality would be. Research limitations/implications Suggestions for both search engine users and designers are presented to help enhance user experience and QA quality. Originality/value Particularly suitable for search engine QA quality analysis, the newly developed evaluation criteria system expanded and enriched assessment metrics of both search engines and QA systems.
      Citation: Library Hi Tech
      PubDate: 2018-08-30T02:46:40Z
      DOI: 10.1108/LHT-10-2017-0218
       
  • The application of CPS in library management: a survey
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to present the current state research of cyber-physical system (CPS) and its application in libraries. CPS is a kind of large-scale and networked system that consists of physical and cyber elements and is currently of interest in academia, industry and government. In this survey, the definitions, theoretical foundation and basic applications of CPS are systematically reviewed. In addition, the development of library and current research of CPS application in library management are presented. The vision and challenge of smart library are also discussed. Design/methodology/approach By retrieving the main scholarly databases, the literature of CPS and its application in libraries were examined. Findings This study shows that a lot of CPS technology applications are still in initial stage, and explores CPS potential impacts on libraries. Originality/value The application of CPS in library management has not been paid much attention, this study provides a prospective for the application of CPS in libraries.
      Citation: Library Hi Tech
      PubDate: 2018-08-28T02:10:17Z
      DOI: 10.1108/LHT-11-2017-0234
       
  • Social internet of vehicles: an epistemological and systematic perspective
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose Building upon Internet of Things (IoT), Internet of Vehicles (IoV) and Social Internet of Things (SIoT), Social Internet of Vehicles (SIoV) is the latest development in the field. SIoV allows vehicles to socialize among themselves and share information of common interests. The increasing popularity of the SIoV concept demands more research to explore its great potential. However, very few studies have systemically investigated this concept to provide a comprehensive view for readers. The paper aims to discuss this issue. Design/methodology/approach This paper discusses the perspectives of the utilizations and limitations of SIoV, setting forward a systematic and epistemological framework. Findings The authors summarize the benefits of SIoV from four information-management perspectives: safety management, traffic control and convenience, productivity improvement and commercialization and exploring the factors inhibiting the development of SIoV from the following seven aspects: standardization, adaptability, scalability, infrastructure, lack of application, privacy and security. Originality/value The paper lays a solid foundation for researchers to find possible solutions to address the challenges to SIoV and provides valuable insights for practitioners who are interested in adopting SIoV initiatives.
      Citation: Library Hi Tech
      PubDate: 2018-08-21T10:26:33Z
      DOI: 10.1108/LHT-12-2017-0259
       
  • Internet of Things and its applications in libraries: a literature review
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose Internet of Things (IoT) is an emerging paradigm that draws academia and industry attention in the past few years. The purpose of this paper is to review the current research on IoT in library operation, and report the future trends and research challenges as well. Design/methodology/approach To conduct this research, the literature on IoT and its application in libraries was retrieved from major databases such as Web of Science, IEEE Xplore, Scopus and Inspec for the period between 2010 and 2018. Findings This study identifies IoT potential impact on libraries, and excavates some valuable literature on IoT and its application in libraries from managerial perspective, especially focuses on library service innovation in IoT era. Originality/value The IoT application in libraries is a new subject. This study provides an overview of IoT application in libraries. The findings of this study contribute to the research on IoT and its role in library management.
      Citation: Library Hi Tech
      PubDate: 2018-08-20T10:34:16Z
      DOI: 10.1108/LHT-01-2018-0014
       
  • Trend analysis of co-authorship network in Library Hi Tech
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to examine the evolution of collaboration among researchers in Library Hi Tech based on the co-authorship network analysis. Design/methodology/approach The Library Hi Tech publications were retrieved from Web of Science database between 2006 and 2017. Social network analysis based on co-authorship was analyzed by using BibExcel software and a visual knowledge map was generated by Pajek. Three important social capital indicators: degree centrality, closeness centrality and betweenness centrality were calculated to indicate the co-authorship. Cohesive subgroup analysis which includes components and k-core was then applied to show the connectivity of co-authorship network of Library Hi Tech. Findings The results indicated that around 42 percent of the articles were written by single author, while an increasing trend of multi-authored articles suggesting the collaboration among researchers in librarian research field becomes popular. Furthermore, the social network analysis identified authorship network with three core authors – Markey, K., Fourie, I. and Li, X. Finally, six core subgroups each included six or seven tightly connected researchers were also identified. Originality/value This study contributed to the existing literature by revealing the co-authorship network in librarian research field. Key researchers in the major subgroup were identified. This is one of the limited studies that describe the collaboration network among authors from different perspectives showing a more comprehensive co-authorship network.
      Citation: Library Hi Tech
      PubDate: 2018-08-20T10:33:17Z
      DOI: 10.1108/LHT-11-2017-0241
       
  • Pain points of cultural institutions in search visibility: the case of
           Serbia
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to identify the common issues affecting the cultural institutions’ websites in terms of organic search visibility and to detect if there are some category specifics for the national libraries, archives and museums. Design/methodology/approach In the first phase, an online survey was conducted involving the cultural institutions of national importance, aiming to map the current state of their websites in organizational and functional terms, to collect the information about the used domains, their social media activity and the use of analytical tools to monitor the visitor behavior and online traffic. In the second phase, the cultural institutions’ websites were analyzed using the “White Hat SEO” technics of optimization on Google. Findings From the category perspective, the historical archives have the best Technical search engine optimization (SEO) position due to the low coding errors and fair site speed, the libraries are leading in content generation and the museums have a very good total SEO index due to their strong social media activities. Common issues are detected in the description of web images, non-existence of sitemaps and low website mobile friendliness. Research limitations/implications The data were collected from the personnel of the national cultural institutions based on their pre-assumed knowledge and understanding of website management. Practical implications The research methodology can be used to analyze the organic visibility of any national culture on search engines. Originality/value A research gap in addressing the cultural institutions’ websites from the search engine perspective was identified and addressed within the paper.
      Citation: Library Hi Tech
      PubDate: 2018-08-17T09:18:22Z
      DOI: 10.1108/LHT-12-2017-0264
       
  • Blockchain and OECD data repositories: opportunities and policymaking
           implications
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to employ the case of Organization for Economic Cooperation and Development (OECD) data repositories to examine the potential of blockchain technology in the context of addressing basic contemporary societal concerns, such as transparency, accountability and trust in the policymaking process. Current approaches to sharing data employ standardized metadata, in which the provider of the service is assumed to be a trusted party. However, derived data, analytic processes or links from policies, are in many cases not shared in the same form, thus breaking the provenance trace and making the repetition of analysis conducted in the past difficult. Similarly, it becomes tricky to test whether certain conditions justifying policies implemented still apply. A higher level of reuse would require a decentralized approach to sharing both data and analytic scripts and software. This could be supported by a combination of blockchain and decentralized file system technology. Design/methodology/approach The findings presented in this paper have been derived from an analysis of a case study, i.e., analytics using data made available by the OECD. The set of data the OECD provides is vast and is used broadly. The argument is structured as follows. First, current issues and topics shaping the debate on blockchain are outlined. Then, a redefinition of the main artifacts on which some simple or convoluted analytic results are based is revised for some concrete purposes. The requirements on provenance, trust and repeatability are discussed with regards to the architecture proposed, and a proof of concept using smart contracts is used for reasoning on relevant scenarios. Findings A combination of decentralized file systems and an open blockchain such as Ethereum supporting smart contracts can ascertain that the set of artifacts used for the analytics is shared. This enables the sequence underlying the successive stages of research and/or policymaking to be preserved. This suggests that, in turn, and ex post, it becomes possible to test whether evidence supporting certain findings and/or policy decisions still hold. Moreover, unlike traditional databases, blockchain technology makes it possible that immutable records can be stored. This means that the artifacts can be used for further exploitation or repetition of results. In practical terms, the use of blockchain technology creates the opportunity to enhance the evidence-based approach to policy design and policy recommendations that the OECD fosters. That is, it might enable the stakeholders not only to use the data available in the OECD repositories but also to assess corrections to a given policy strategy or modify its scope. Research limitations/implications Blockchains and related technologies are still maturing, and several questions related to their use and potential remain underexplored. Several issues require particular consideration in future research, including anonymity, scalability and stability of the data repository. This research took as example OECD data repositories, precisely to make the point that more research and more dialogue between the research and policymaking community is needed to embrace the challenges and opportunities blockchain technology generates. Several questions that this research prompts have not been addressed. For instance, the question of how the sharing economy concept for the specifics of the case could be employed in the context of blockchain has not been dealt with. Practical implications The practical implications of the research presented here can be summarized in two ways. On the one hand, by suggesting how a combination of decentralized file systems and an open blockchain, such as Ethereum supporting smart contracts, can ascertain that artifacts are shared, this paper paves the way toward a discussion on how to make this approach and solution reality. The approach and architecture proposed in this paper would provide a way to increase the scope of the reuse of statistical data and results and thus would improve the effectiveness of decision making as well as the transparency of the evidence supporting policy. Social implications Decentralizing analytic artifacts will add to existing open data practices an additional layer of benefits for different actors, including but not limited to policymakers, journalists, analysts and/or researchers without the need to establish centrally managed institutions. Moreover, due to the degree of decentralization and absence of a single-entry point, the vulnerability of data repositories to cyberthreats might be reduced. Simultaneously, by ensuring that artifacts derived from data based in those distributed depositories are made immutable therein, full reproducibility of conclusions concerning the data is possible. In the field of data-driven policymaking processes, it might allow policymakers to devise more accurate ways of addressing pressing issues and challenges. Originality/value This paper offers the first blueprint of a form of sharing that complements open data practices with the decentralized approach of blockchain and decentralized file systems. The case of OECD data repositories is used to highlight that while data storing is important, the real added value of blockchain technology rests in the possible change on how we use the data and data sets in the repositories. It would eventually enable a more transparent and actionable approach to linking policy up with the supporting evidence. From a different angle, throughout the paper the case is made that rather than simply data, artifacts from conducted analyses should be made persistent in a blockchain. What is at stake is the full reproducibility of conclusions based on a given set of data, coupled with the possibility of ex post testing the validity of the assumptions and evidence underlying those conclusions.
      Citation: Library Hi Tech
      PubDate: 2018-08-17T09:15:00Z
      DOI: 10.1108/LHT-12-2017-0276
       
  • Why is self-service technology (SST) unpopular' Extending the IS
           success model
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose Self-service technology (SST) has become popular in many areas, but consumers from many countries still prefer human-provided services. Why is this so' The purpose of this paper is to understand the possible reasons by integrating two perspectives: personal characteristics marketing and the information systems success model (IS success model). Design/methodology/approach The authors propose an integrated model and conduct an empirical questionnaire survey which generates a total of 345 valid responses. Findings The authors find that personal technology anxiety and the need for interpersonal interaction are critical factors that affect SST usage continuance intention. Furthermore, personal technology anxiety affects the consumer’s perception of the quality of both the information and the SST system itself, which determines the level of satisfaction and the intention to continue to use the system. Second, the IS success model perspective reveals that the following factors determine the level of perceived satisfaction with SST: information quality, system quality, enjoyment and design. However, only information quality and system quality affect the intention to continue SST usage. The authors also find that satisfaction and the need for interpersonal interaction also determine the SST usage continuance intention. Originality/value The IS success model is found to be helpful in understanding the underlying reasons for this. To aid in the development of successful future SSTs, these findings can be referenced by countries in which SST is not so popular. Our proposed model further enhances the theoretical development of the IS success model.
      Citation: Library Hi Tech
      PubDate: 2018-08-17T09:09:21Z
      DOI: 10.1108/LHT-01-2018-0015
       
  • Understanding public libraries’ challenges, motivators, and perceptions
           toward the use of social media for marketing
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to identify challenges and motivators to social media adoption for marketing purposes in public libraries and to investigate how these libraries perceive the importance of social media marketing. Design/methodology/approach A nation-wide online survey on public libraries in the USA was conducted to carry out this study, and a total number of 470 responses were used for data analysis. Findings This study determined a range of challenges and motivators to implementing social media for marketing in public libraries. The results also showed that public libraries perceive social media as an important tool for their library marketing and intend to increase their use. Practical implications The findings from this study can serve as a guideline for public libraries when employing social media for marketing purposes in their libraries. Originality/value This study assessed the current state of social media use for marketing in the public library context, a context that has been under-researched in the literature, from three perspectives: challenges, motivators, and perceptions.
      Citation: Library Hi Tech
      PubDate: 2018-06-25T09:01:38Z
      DOI: 10.1108/LHT-11-2017-0237
       
  • Indexing Arabic texts using association rule data mining
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to propose a new model to enhance auto-indexing Arabic texts. The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. Design/methodology/approach The proposed model uses an association rule algorithm for extracting frequent sets containing related items – to extract relationships between words in the texts to be indexed with words from texts that belong to the same category. The associations of words extracted are illustrated as sets of words that appear frequently together. Findings The proposed methodology shows significant enhancement in terms of accuracy, efficiency and reliability when compared to previous works. Research limitations/implications The stemming algorithm can be further enhanced. In the Arabic language, we have many grammatical rules. The more we integrate rules to the stemming algorithm, the better the stemming will be. Other enhancements can be done to the stop-list. This is by adding more words to it that should not be taken into consideration in the indexing mechanism. Also, numbers should be added to the list as well as using the thesaurus system because it links different phrases or words with the same meaning to each other, which improves the indexing mechanism. The authors also invite researchers to add more pre-requisite texts to have better results. Originality/value In this paper, the authors present a full text-based auto-indexing method for Arabic text documents. The auto-indexing method extracts new relevant words by using data mining rules, which has not been investigated before. The method uses an association rule mining algorithm for extracting frequent sets containing related items to extract relationships between words in the texts to be indexed with words from texts that belong to the same category. The benefits of the method are demonstrated using empirical work involving several Arabic texts.
      Citation: Library Hi Tech
      PubDate: 2018-06-20T02:32:12Z
      DOI: 10.1108/LHT-07-2017-0147
       
  • Toward a metadata model for research information management systems
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to examine the relationships between researcher characteristics and their use of metadata in their ResearchGate profiles. Design/methodology/approach This paper reports on one part of a larger study that examined researchers’ use of and engagement with research information management systems (RIMSs). The study’s design included qualitative, semi-structured interviews with 15 researchers and a survey completed by 412 researchers. Detailed reports of findings from the interviews and survey can be found elsewhere. This paper reports on the part of the study that analyzed the use of metadata elements in the ResearchGate profiles of 126 survey participants. Findings Most researchers shared metadata related to their research rather than their teaching or service. Statistical analyses revealed statistically significant relationships between researchers’ metadata use and their participation levels in RIMSs, as well as between metadata use and researchers’ seniority. Originality/value The study’s findings help to identify researchers’ priorities for different metadata elements, as well as to construct profile metadata templates for each specific participation level.
      Citation: Library Hi Tech
      PubDate: 2018-06-12T02:20:33Z
      DOI: 10.1108/LHT-01-2018-0013
       
  • Purchase intention in social commerce
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose With the advent of the digital era, the internet has gradually become an essential factor in people’s lives. Its increasing popularity has also caused e-commerce to thrive, and has increased the power of online marketing. In recent years, social commerce has emerged as a new mode of operation which can be distinguished from traditional e-commerce. The paper aims to discuss these issues. Design/methodology/approach The main purpose of this study is to determine which factors influence a consumer’s behavioral intention in the context of social commerce websites, and to explore overall purchase intentions based on the consumer’s cognitive evaluation. The examination reveals that consumers’ multidimensional perceptions influence both their perceptions of value and their purchase intentions. Other related social awareness factors explored by this study are also shown to influence customers’ purchase intentions. Findings In summary, the results show that perceived value and social awareness factors influence customers’ purchasing decisions and behavioral intentions for different gender. These findings have significant theoretical and managerial implications. Originality/value Social commerce is a subset of e-commerce brought about by the development of social networking. Activities conducted on social networking websites can be considered as a form of social commerce. In Taiwan, social commerce is still in the early stages of development.
      Citation: Library Hi Tech
      PubDate: 2018-06-06T12:35:36Z
      DOI: 10.1108/LHT-01-2018-0007
       
  • The establishment of strategic international and local partnerships
           through a Masters’ level degree in information technology
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The Department of Information Science at the University of Pretoria (UP), with funding from the Carnegie Corporation of New York, has, for the past six years, offered a fully funded specialized two-year coursework degree at Masters’ level in Information Technology (M.IT degree). The purpose of this paper is to discuss the technological and teaching methodologies as well as the unique advantages and challenges of collaboration between four partner institutions on two continents as well as local industry partners and local and international academic and public libraries, in offering a blended learning program to students from six different countries. Design/methodology/approach The contribution is based on a pragmatic and reflective analysis of the success of the strategic partnerships formed during the M.IT program. The data-gathering instrument used was a questionnaire containing open-ended questions. Findings Analysis of the comments shows that it is evident that faculty still prefer face-to-face classes. Furthermore, to experience an effective online blended learning, the technology would have to improve. The complicated levels of partnerships were important to provide the necessary expertise for this broad-based program. Lecturers from industries and libraries brought different perspectives based on their day-to-day work and practical experience and, through this, a level of reality as opposed to the theory that can be learnt from textbooks. Originality/value This is a descriptive analysis of the program and feedback of co-workers that has not been reported before.
      Citation: Library Hi Tech
      PubDate: 2018-06-06T02:16:09Z
      DOI: 10.1108/LHT-08-2017-0165
       
  • Lost in migration: document quality for batch conversion to PDF/A
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose Changes in file format specifications challenge long-term preservation of digital documents. Digital archives thus often focus on specific file formats that are well suited for long-term preservation, such as the PDF/A format. Since only few customers submit PDF/A files, digital archives may consider converting submitted files to the PDF/A format. The paper aims to discuss these issues. Design/methodology/approach The authors evaluated three software tools for batch conversion of common file formats to PDF/A-1b: LuraTech PDF Compressor, Adobe Acrobat XI Pro and 3-HeightsTM Document Converter by PDF Tools. The test set consisted of 80 files, with 10 files each of the eight file types JPEG, MS PowerPoint, PDF, PNG, MS Word, MS Excel, MSG and “web page.” Findings Batch processing was sometimes hindered by stops that required manual interference. Depending on the software tool, three to four of these stops occurred during batch processing of the 80 test files. Furthermore, the conversion tools sometimes failed to produce output files even for supported file formats: three (Adobe Pro) up to seven (LuraTech and 3-HeightsTM) PDF/A-1b files were not produced. Since Adobe Pro does not convert e-mails, a total of 213 PDF/A-1b files were produced. The faithfulness of each conversion was investigated by comparing the visual appearance of the input document with that of the produced PDF/A-1b document on a computer screen. Meticulous visual inspection revealed that the conversion to PDF/A-1b impaired the information content in 24 of the converted 213 files (11 percent). These reproducibility errors included loss of links, loss of other document content (unreadable characters, missing text, document part missing), updated fields (reflecting time and folder of conversion), vector graphics issues and spelling errors. Originality/value These results indicate that large-scale batch conversions of heterogeneous files to PDF/A-1b cause complex issues that need to be addressed for each individual file. Even with considerable efforts, some information loss seems unavoidable if large numbers of files from heterogeneous sources are migrated to the PDF/A-1b format.
      Citation: Library Hi Tech
      PubDate: 2018-06-06T01:01:40Z
      DOI: 10.1108/LHT-10-2017-0220
       
  • Bibliometric networks and analytics on gerontology research
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to bibliometrically analyze the gerontology-related research articles for a comprehensive understanding of the gerontology literature. Design/methodology/approach This study employed the approach of visual analytics on 32 journals with a total of 99,204 articles published after 2000 to identify the main subfields, keywords, and growth trend. The investigated journals are either open access online or listed in the Social Sciences Citation Index. In addition, the 200 most frequently cited papers were analyzed through bibliographic coupling, co-word, and co-citation analysis. Findings The selected most cited papers were mostly published before 2007, and psychiatry and psychology were the top research subfields. Dementia, older adult, and Alzheimer’s disease were the three most frequently occurring keywords, both in Author Keywords and KeyWords Plus. While coupling analysis yielded 12 research groups, co-word analysis classified the most frequently used 20 Author Keywords into two categories. Four research clusters were identified by the co-citation analysis. Originality/value This research provides a comprehensive view of the gerontology research as well as an understanding of the subfields and their interrelations. It also provides government departments with directions for formulating and executing policies affecting older people not only in setting academic and professional priorities but also in understanding the key topics related to older people.
      Citation: Library Hi Tech
      PubDate: 2018-05-23T02:08:40Z
      DOI: 10.1108/LHT-11-2017-0247
       
  • Mobile services in the libraries of the world’s top universities
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose As many organizations and institutions in recent years are trying to update their hardware and software platforms toward using mobile technology, libraries and information centers as trustees and leaders of information management and information science need to be futurists in this area. Therefore, the purpose of this paper is to investigate the status of using mobile-based services in the world’s top university libraries. Design/methodology/approach In this direct observation and quantitative research survey, the authors reviewed the status of using mobile-based services in the libraries of the world’s top universities. Findings The results showed that 84 percent of the libraries of the top 50 universities in the world have made their websites mobile-friendly and provide mobile-based services; however, only 30 percent of them have designed mobile library application. The findings of this study revealed that mobile phone services such as “Search catalog,” “Hour of library,” “Contact,” “Ask the librarian” and “News” in more than 50 percent of the libraries with mobile-based services has been used. While some services like “Services for disabled,” “Library card,” “Library Strategic Plan” and “Financial services” are less important to deliver on the mobile platform. Research limitations/implications The results of the current research are only limited to this environment. Furthermore limited access to all features of some mobile library applications is another limitation of this work. Also, failure to download some of the university apps from the usual App store due to the nationality of the researchers is other limitations of the study. The authors try to find more details of these apps with connecting to the librarians of this statistic society. Practical implications The research results indicated that the majority of libraries in the world’s top universities have moved toward designing and using mobile platform in their websites. This survey suggests that the academic libraries of developing countries in order to follow this trend are supposed to plug in most used services based on experience of academic libraries of top universities. Originality/value The research results indicated that the majority of libraries in the world’s top universities have moved toward designing and using mobile platform in their websites. This survey suggests that the Iranian academic libraries affiliated with the Ministry of Science, Research and Technology and the Ministry of Health and Medical Education are also trying to follow this trend in order to meet the users’ information needs.
      Citation: Library Hi Tech
      PubDate: 2018-05-18T11:01:07Z
      DOI: 10.1108/LHT-07-2017-0140
       
  • Online search behaviour of University of Zambia Library and Information
           Studies students
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to investigate factors that affect web searching behaviour of the students of the University of Zambia (UNZA). Design/methodology/approach This study adopted a qualitative research approach in order to get an insight into the interactions of the students at the UNZA with the real web situation. A post-search questionnaire was used as a tool to gather information from 65 Library and Information Science students about search techniques used, web experience, and subject knowledge of users. Findings This study shows that the main purpose for using the internet by students at the UNZA is for academic work. The findings also show that factors such as experience and topic familiarity had an effect on search behaviour, whereas, age of searcher did not affect the search technique used. Google was preferred for searching more than electronic databases. Originality/value This is the first systematic examination of students online search behaviour in Zambia. It allows the researchers to compare with search behaviour of students in a different social economic environment.
      Citation: Library Hi Tech
      PubDate: 2018-05-18T10:43:22Z
      DOI: 10.1108/LHT-03-2017-0058
       
  • Personal digital archiving for journalists: a “private”
           solution to a public problem
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to encourage librarians to teach digital archiving practices to journalists as a way of giving journalists the skills they need to save their work for future use and to facilitate the preservation of journalism for posterity. Design/methodology/approach The author has reviewed the personal digital archiving literature and analyzed how it might be specifically tailored to the unique needs of journalists. Findings Daily journalism has traditionally been preserved by libraries in the form of newspapers and magazines housed in library periodicals departments. Now that nearly all journalism is published online and libraries generally only have access via temporary subscriptions, libraries are prevented from doing any kind of traditional preservation work (e.g. storing copies locally). In the future, this lack of local preservation may lead to a shortage of early twenty-first century primary source material for historians. Research limitations/implications The needs of journalists do vary greatly based on the nature and format of their work and its publication venue, making it difficult to offer a single set of standards or recommendations. Originality/value While personal digital archiving advocates have generally interpreted the word “personal” to be synonymous with “private,” this paper points to the need to expand the concept to include professional activities, particularly in light of the prevalence of telecommuting and freelance work arrangements, and the lack of support and training received by remote workers and independent contractors.
      Citation: Library Hi Tech
      PubDate: 2018-05-09T02:10:57Z
      DOI: 10.1108/LHT-09-2017-0184
       
  • Supply chain management scholar’s research impact: moderated
           mediation analysis
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to draw on social capital theory to develop a model to explain the determinants of a supply chain management scholar’s academic research impact. Design/methodology/approach Drawing from a database of 450 supply chain management scholars in different countries collected from ResearchGate and the World Bank, the bootstrapping method was applied on the moderated mediation analysis. Findings Analysis of the mediating role of a scholar’s social capital suggests that social capital theory has a strong explanatory power on the relationship between a scholar’s research skill and academic impact. To account for the boundary effect at the country-level, the authors further examine if this mechanism differs by country in the supply chain management research context. Research limitations/implications The findings from this study are from a single research area, which limits the generalizability of the study. Although the data are collected from different sources, including ResearchGate and the World Bank, it is cross-sectional in nature. The variables in this model do not have strong causal relationships. Practical implications The results suggest that supply chain management scholars can reap the benefits of their social capital. Specifically, scholars can enhance their academic impact by increasing their social capital. Originality/value The results provide a reference for supply chain management scholars keen on enhancing their academic research impact. It also provides a reference to explain why country-level differences can influence these scholars.
      Citation: Library Hi Tech
      PubDate: 2018-05-09T02:07:57Z
      DOI: 10.1108/LHT-07-2017-0149
       
  • More descriptive norms, fewer diversions
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to analyze the relationship between researchers’ social media (SM) behavior and their academic performance. Design/methodology/approach A sample of 362 researchers was recruited from the colleges of management of 52 Chinese universities. A factor analysis of eight indices retrieved from the 362 data items was conducted. A total of 24 Chinese researchers were interviewed and given a robust test. Findings The results indicate that Chinese general social media (GSM) is insufficient to support academic research and it is difficult for scholars to enhance the visibility of their academic performance using GSM platforms, which can actually induce addiction. University resources, management systems, and working environment affect how scholars apply SM. Research limitations/implications The authors examined the researchers’ SM behavior by giving them a questionnaire and interview; however, this approach proved inadequate. The academic performance of researchers is affected by numerous factors, but the authors only considered SM behavior. Practical implications It is suggested that universities apply academic social media (ASM) indicators to measure researchers’ contributions so that they self-regulate their SM usage attitudes. Also, universities should also promote ASM platforms. Originality/value This study analyzed scholars’ GSM usage and academic performance, and the moderating effect of university level on the relationship between need for competence and relatedness and need for autonomy. This comprehensive analysis contributes to the scholarly SM usage literature.
      Citation: Library Hi Tech
      PubDate: 2018-05-09T02:02:55Z
      DOI: 10.1108/LHT-11-2017-0240
       
  • A study of crowd-collaborative learning: an empirical study
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose Information technology is widely applied for completing group tasks and enhancing learning in computer-supported collaborative learning (CSCL) environment. Group members not only complete tasks but also learn ideas from other members of the group. These ideas can be better than what individual could come up with. As these ideas are referred as an upward comparison in the perspective of social comparison theory. However, there are limited studies that provide evidence in investigating how social comparison orientation (SCO) perceived by individual learner impacts on learning and group performance. The paper aims to discuss these issues. Design/methodology/approach This study experimentally tackles this problem at both individual and group level. An experimental study was applied in this study. Structural equation modeling and hierarchical linear modeling approaches are used to validate the data. Findings Results of 168 subjects reveal that SCO does have associations with group performance and learning performance respectively. Discussions and implications for literature and practice are given at the end of the paper. Originality/value This study confirms that the social genesis occurs more effectively through social interactions in CSCL. It also extends our understandings about the impacts of SCO. Results reveal that the higher level of SCO adopted by group members, the higher level of social interactions at group level can be triggered. As a result, the group performance can be enhanced. On one hand, these findings bridge the research gap in terms of investigating the notion of SCT on CSCL. On the other hand, it provides a possible solution in alleviating the problem of social loafing as commonly observed in CSCL. Therefore, these findings fulfilled the two research objectives.
      Citation: Library Hi Tech
      PubDate: 2018-05-09T02:00:54Z
      DOI: 10.1108/LHT-01-2018-0016
       
  • Mapping knowledge structure by keyword co-occurrence and social network
           analysis
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to present the knowledge structure based on the articles published in Library Hi Tech. The research hotspots are expected to be revealed through the keyword co-occurrence and social network analysis. Design/methodology/approach Data sets based on publications from Library Hi Tech covering the time period from 2006 to 2017 were extracted from Web of Science and developed as testbeds for evaluation of the CiteSpace system. Highly cited keywords were analyzed by CiteSpace which supports visual exploration with knowledge discovery in bibliographic databases. Findings The findings suggested that the percentage of publications in the USA, Germany, China, and Canada are high. Further, the most popular keywords identified in Library Hi Tech were: “service,” “technology,” “digital library,” “university library,” and “academic library.” Finally, four research issues were identified based on the most-cited articles in Library Hi Tech. Originality/value While keyword plays an important role in scientific research, limited studies paid attention to the keyword analysis in librarian research. The contribution of this study is to systematically explore the knowledge structure constructed by the keywords in Library Hi Tech.
      Citation: Library Hi Tech
      PubDate: 2018-05-08T01:50:47Z
      DOI: 10.1108/LHT-01-2018-0004
       
  • Comparing the determinants of non-MOOC and MOOC continuance intention in
           Taiwan
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose Massive open online courses (MOOCs) differ from non-MOOC e-learning platforms mainly in terms of degree of openness, with MOOCs designed to maximize learner access and interaction. The purpose of this paper is to propose a new research model to explore intention to continue to use MOOCs from the perspectives of openness and interactivity, based on related theories and dimensions from previous research. Design/methodology/approach In order to evaluate the effectiveness of the MOOC platform, two online survey questionnaires were developed and e-mailed to the all of the university students in Taichung, Taiwan. The first one and second one are the same except the construct openness. The first one was delivered in late 2015 while the second one was delivered in the middle 2016. After the authors eliminated incomplete responses and duplicates, 995 and 854 usable responses from platform users remained, respectively, and were used to test the relationships in the model. Findings The model can account for more than 75 percent of the variance in continuance intention. The research results affirm prior findings that satisfaction has a strong direct influence on intention. Among the three interaction factors, human-message interaction on the platform has the strongest effect on satisfaction. This study found that the effects of interactions and motivation on MOOC and non-MOOC platforms were consistent and similar. Moreover, perceived openness was found to influence usage intention but its effects were relative low. Originality/value The model demonstrated good explanatory power for continued intention in the context of MOOCs. This study provides a better understanding of the relationships among interactions, motivations, perceived openness, and continuance intention.
      Citation: Library Hi Tech
      PubDate: 2018-02-05T03:29:14Z
      DOI: 10.1108/LHT-11-2016-0129
       
  • Antecedents and consequences of social networking site knowledge sharing
           by seniors
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose Understanding elders’ experience and knowledge-sharing behaviors online have become significant issues in this aging society. In this study, the purpose of this paper is to summarize and validate the factors that influence the intention of elders to share knowledge online, and assess whether seniors’ knowledge-sharing behaviors affect their sense of meaning in life. Design/methodology/approach In total, 49 senior students were invited as participants to join the social networking site (SNS) and share knowledge on the platform. After a month of knowledge-sharing activities, questionnaires were distributed to all the participants. All the 49 participants returned completed questionnaires. To verify the results obtained via the above quantitative data analysis, follow-up interviews were conducted with one popular computer instructor and four seniors (who are experienced users of the SNS). Open-ended questions were employed to understand the motivations for sharing knowledge in a virtual community and the benefits obtained from sharing. Findings The results indicate that sharing vision, community identification, and social interaction ties are the main factors that influence the sharing of knowledge by seniors on SNSs. In addition, sharing knowledge on SNSs has a positive influence on seniors’ meaning in life. Follow-up interviews conducted also validate the results obtained. Originality/value Understanding elders’ experience and knowledge-sharing behaviors online have become significant issues in this aging society. It can not only benefit younger generations but also enable them to age gracefully. Rare SNSs similar to the one used in the study were found on the Facebook during our research.
      Citation: Library Hi Tech
      PubDate: 2018-01-24T02:53:42Z
      DOI: 10.1108/LHT-11-2016-0144
       
  • The comparison of thesaurus and ontology
    • Abstract: Library Hi Tech, Ahead of Print.
      Purpose The purpose of this paper is to investigate indexers’ evaluation on the usability of ontology vs thesaurus in representation of concepts and semantic relations. To do so, “searching” category of ASIS&T thesaurus was selected and ASIS&TOnto was built based on it. Design/methodology/approach The usability examination method is used in order to compare the two semantic tools. Nine indexers were recruited as participants, who were proficient in English language, had experience in using the thesaurus and all had successfully passed the course of “information representation.” They were asked to think aloud while working with the tools and to answer a semi-structured interview. The data gathering was continued until it reached its saturation point. Findings The results of this study revealed that the definitions and scope notes represented in indexing tools such as thesauri and ontologies have an important role in improvement of indexers’ understanding. On comparing the hierarchical relations, results show that converting the structure of hierarchical relationships of ASIS&T thesaurus can enhance the indexers understanding of them, and also enriching the associative relations of ASIS&T thesaurus can cause indexers to have a better understanding and evaluation of the presented concepts and relations. Originality/value This study shares our findings on the usability of ASIS&T thesaurus as a core set of vocabulary for building a “searching” domain as a prototype ontology in the area of library and information science and provides the indexers viewpoints of the two semantic tools in this area.
      Citation: Library Hi Tech
      PubDate: 2018-01-03T09:07:23Z
      DOI: 10.1108/LHT-03-2017-0060
       
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
 
Home (Search)
Subjects A-Z
Publishers A-Z
Customise
APIs
Your IP address: 54.225.26.44
 
About JournalTOCs
API
Help
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-