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Library Hi Tech
Journal Prestige (SJR): 0.427
Citation Impact (citeScore): 1
Number of Followers: 1256  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0737-8831
Published by Emerald Homepage  [341 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
       
  • 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
       
  • Embedding funding consultation in library services
    • First page: 378
      Abstract: Library Hi Tech, Ahead of Print.
      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
    • First page: 400
      Abstract: Library Hi Tech, Ahead of Print.
      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
    • First page: 411
      Abstract: Library Hi Tech, Ahead of Print.
      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
    • First page: 426
      Abstract: Library Hi Tech, Ahead of Print.
      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
    • First page: 458
      Abstract: Library Hi Tech, Ahead of Print.
      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
    • First page: 482
      Abstract: Library Hi Tech, Ahead of Print.
      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
    • First page: 498
      Abstract: Library Hi Tech, Ahead of Print.
      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
    • First page: 524
      Abstract: Library Hi Tech, Ahead of Print.
      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
    • First page: 539
      Abstract: Library Hi Tech, Ahead of Print.
      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
       
 
 
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