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Journal Cover Program: Electronic Library and Information Systems
  [SJR: 0.687]   [H-I: 19]   [362 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0033-0337
   Published by Emerald Homepage  [335 journals]
  • From Owning to Sharing: Understanding the Emergence of Social Sharing
           Services
    • First page: 102
      Abstract: Program, Volume 51, Issue 2, July 2017.
      Purpose This study intends to identify the motivational factors that help shape user perceptions of and attitudes toward car-sharing services and develop a research model that integrates these factors with the technology acceptance model to explicate car sharing’s adoption pattern. Design/methodology/approach An online survey was administered to examine the role of proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (N = 638) to demonstrate the reliability and validity of the measurement and structural model. Findings Perceived reliability, compatibility, and enjoyment of car-sharing services as well as users’ innovative tendencies are positively associated with usage intention. However, users’ privacy concern and perceived cost of using the services are found to have no significant effects on the adoption of the services. Originality/value While the recent advent of mobile communication devices and services has increased access to social sharing-based platform services such as car sharing, this study provides a research framework that helps understand how various psychological factors contribute to the adoption of a social-sharing service.
      Citation: Program
      PubDate: 2017-05-19T11:13:48Z
      DOI: 10.1108/PROG-02-2016-0010
       
  • Information asymmetry leads to Underpricing: Validation through SEM for
           Indian IPOs
    • First page: 116
      Abstract: Program, Volume 51, Issue 2, July 2017.
      Purpose The paper examines the relevance of information, transparency and information efficiency in short run performance of new issues. The current research evaluates the short run performance of IPOs during 2005-12 which even includes the recessionary period. The present study evaluates the impact of informational variables on first day returns. Design/methodology/approach The short run performance of the IPOs is measured through market adjusted excess return (MAER). A Structural equation model (SEM) has been designed to identify how information influences the short run performance of IPOs. Findings The results of structural model reveal that the sale of promoters’ stake and underwriters’ reputation are the major contributors towards Information and are found to be statistically highly significant. The model also shows that the issue size (a component of information) is statistically insignificant at 5%. The model suggests that availability of information has a negative impact on the first day returns indicating that the issuing company which discloses maximum information about it provide lower returns on listing day and are less underpriced. Originality/value The present study has a contribution in investment decisions for global investors as the participation of international investors is common in IPOs of emerging markets. The findings of the study are expected to be useful to the practitioners in predicting the pricing of IPOs based on the informational variables influencing their performance.
      Citation: Program
      PubDate: 2017-05-19T11:13:49Z
      DOI: 10.1108/PROG-01-2016-0009
       
  • The CENDARI infrastructure in GIS-based historical research
    • First page: 132
      Abstract: Program, Volume 51, Issue 2, July 2017.
      Purpose The aim of the paper is to propose a way of using already existing archival resources in the geographical information system (GIS). Design/methodology/approach The essence of the methodology used was to identify semantic relations of archival documents with geographical space and develop their metadata into spatially related metadata, ready to use in geographic information system and to join geographical names occurring in these metadata with exact places to which they were related to. Research was based on two digital collections from the Library of Contemporary History in Stuttgart on-line service. These collections were related to the First World War and they included metadata prepared in MAB standard. Findings As the results of the research, two sample metadata sets related to posters and ration coupons were developed. Thesauruses of coordinates of places and regions mentioned in documents metadata in different semantic context were also created. To complete the methodology, the assumptions of the GIS structure and concept of applying metadata in them, have been proposed. Research limitations/implications Research presents also limitations in effective implementation of the proposed solutions, which lie mainly in lack of rules and consequences in recording geographical names in metadata. Originality/value The value of the proposed solution is easy way of using already existing data in GIS and possibilities of gathering, managing, presenting and analyzing archives with one parameter more than in traditional databases – with spatial information. The added value and an effective use of already collected data lies in the strong recommendation of defining and implementation of rules for recording geographical names in archival documents metadata. This will help in a wide use of collected data in any spatial-based solutions as well as in automation of process of joining archives with geographical space, and finally in dissemination of collected resources.
      Citation: Program
      PubDate: 2017-05-19T11:13:47Z
      DOI: 10.1108/PROG-09-2015-0058
       
  • Pakistani LIS Scholars’ Altmetrics in ResearchGate
    • First page: 152
      Abstract: Program, Volume 51, Issue 2, July 2017.
      Purpose The purpose of this paper is to analyse the research performance of Pakistani library and information science (LIS) scholars, using the altmetrics provided by ResearchGate. Design/methodology/approach Purposive sampling was used to collect profiles between 15 January 2015 and 30 April 2016 of all members of ResearchGate who had self-identified as being an LIS scholar of Pakistani nationality. Additional demographic data was obtained through a small survey administered via Google Docs. Resultant data was analysed in SPSS version 21. Findings Study results were broadly consistent in terms of demographical data with previous studies of this cohort. There was a positive correlation between publications, reads and citations for scholars who had recorded at least one publication. The majority of publications had not been published in a high impact factor journal. Academic networking site profiles create the potential for collaboration, building connections, and exchanging information. Research limitations/implications Some scholars eliminated from this study may have published at least one output but neglected to upload details to ResearchGate. It is a purposive, exploratory study that provides insights into future research. Practical implications The paper produces findings of relevance to researchers in other countries and / or disciplines who may wish to conduct a similar study of a defined cohort. Originality/value There have been no previous published research studies on altmetrics associated with Pakistani LIS scholars.
      Citation: Program
      PubDate: 2017-05-19T11:13:48Z
      DOI: 10.1108/PROG-07-2016-0052
       
  • Social question and answer sites: the story so far
    • First page: 170
      Abstract: Program, Volume 51, Issue 2, July 2017.
      Purpose Social Question and Answer site (SQA) is a factor among the many which boosted up and popularized the vision of the social Web. It enables community members to post high valued answers to globally asked questions and information seekers to grab intellectual information in a contextual, concise, and meaningful format at the cost of investing a few minutes. This study presents a common architecture, history, and a comprehensive review of such sites. Design/methodology/approach A critical and analytical investigation of the-state-of-the-art SQA sites and relevant literature has been carried out with the intention to explore the noticeable features of such sites. Findings By studying relevant literature, and analysing a number of existing systems, a number of research challenges were identified and a generic architecture of SQA sites is contributed. Practical implications The review contributes a comprehensive knowledge about SQA systems and aimed to be helpful for new researchers to grab a broad picture of SQA systems in a single platform. The domain is in its infancy and requires tremendously efforts from the research community to explore its salient aspects to the human world. Originality/value The study inspects SQA sites on a large scale and makes an original contribution by presenting a comprehensive review, future research challenges, and a generic architecture of SQA sites.
      Citation: Program
      PubDate: 2017-05-19T11:13:51Z
      DOI: 10.1108/PROG-11-2015-0073
       
  • A Survey on Units Ontologies: Architecture, Comparison and Reuse
    • First page: 193
      Abstract: Program, Volume 51, Issue 2, July 2017.
      Purpose With the increasing spread of ontologies in various domains, units have gradually become an essential part of ontologies and units ontologies have been developed to offer a better expression ability for the practical usage. From the perspectives of architecture, comparison and reuse, this paper provides a comprehensive survey on four mainstream units ontologies: QUDT, QUDV, OM and units ontology of OBO, in order to well address the state of the art and the reuse strategies of the units ontology. Design/methodology/approach An architecture of units ontologies is presented, in which the relations between key factors (i.e., Units of Measure, Quantity and Dimension) are discussed. The criteria for comparing units ontologies are developed from the perspectives of organizational structure, pattern design and application scenario. Then we compare four typical units ontologies based on our proposed comparison criteria. Further, how to reuse these units ontologies is discussed in materials science domain by utilizing two reuse strategies of partial reference and complete reference. Findings Units ontologies have attracted high attention in the scientific domain. Based on the comparison of four popular units ontologies, this paper finds that (1) different units ontologies have different design features from the perspectives of basis structure, units conversion and axioms design, (2) a units ontology is better to be applied to the application areas that satisfy its design features, and (3) many challenges remain to be done in the future research of the units ontology. Originality/value This paper makes an extensive review on units ontologies, by defining the comparison criteria and discussing the reuse strategies in the materials domain. Based on this investigation, guidelines are summarized for the selection and reuse of units ontologies.
      Citation: Program
      PubDate: 2017-05-19T11:13:50Z
      DOI: 10.1108/PROG-08-2015-0056
       
  • Social Media for Creative Libraries/by Phil Bradley
    • First page: 214
      Abstract: Program, Volume 51, Issue 2, July 2017.
      Purpose It is a book review paper. Design/methodology/approach It is a book review paper. Findings It is a book review paper. Originality/value It is a book review paper.
      Citation: Program
      PubDate: 2017-05-19T11:13:51Z
      DOI: 10.1108/PROG-03-2016-0033
       
  • Investigating the determinants of e-book adoption
    • First page: 2
      Abstract: Program, Volume 51, Issue 1, April 2017.
      Purpose This study aims to examine the key factors that affect users’ adoption of e-books using an extension of the unified theory of acceptance and use of technology (UTAUT) that includes the following factors: environmental concerns, perceived benefits, and benevolence trust. Design/methodology/approach We analyzed survey responses from 343 participants using structural equation modeling (SEM) to examine the hypothesized relationships in this research model. Findings The results show that users’ adoption of e-books is determined by performance expectancy, effort expectancy, social influence, facilitating conditions, environmental concern, perceived benefit, and benevolence trust. Research limitations/implications We restricted this study to consumers’ adoption of e-books. Further studies could examine consumer’s adoption of other mediums, such as cutting-edge information technologies. Practical implications The results suggest that marketers should consider altering their methods of promoting e-books to attract consumers and further affect their usage intention. Originality/value This study proposes and tests an extended UTAUT model that includes the additional factors of environmental concern, perceived benefit, and benevolence trust in order to examine the influence of these factors on e-book adoption. The findings are particularly useful for assisting managers to increase e-book adoption.
      Citation: Program
      PubDate: 2017-02-21T09:32:42Z
      DOI: 10.1108/PROG-04-2014-0022
       
  • Answer selection and expert finding in community question answering
           services: a question answering promoter
    • First page: 17
      Abstract: Program, Volume 51, Issue 1, April 2017.
      Purpose Community question answering websites provide an open and free way to share knowledge about general topics on the Internet. However, inquirers may not obtain useful answers and those who are qualified to provide answers may also miss opportunities to share their expertise without any notice. To address this problem, our research provides the means for inquirers to access archived answers and to identify effective subject matter experts for target questions. Design/methodology/approach This paper presents a question answering promoter, called QAP, for the community question answering services. The proposed QAP facilitates the use of filtered archived answers regarded as explicit knowledge and recommended experts regarded as sources of implicit knowledge for given target questions. Findings The experimental results indicate that QAP can leverage knowledge sharing by refining archived answers upon creditability and distributing raised question to qualified potential experts. Research limitations/implications This proposed method is designed for traditional Chinese corpus. Originality/value This paper proposed an integrated framework of answer selection and expert finding employs the BUME algorithm, an underlying voting model, the agglomerative hierarchical clustering technique and feature approaches of answer trustworthiness measuring, identification of satisfied learners and credibility of repliers. The experiments using the corpus crawled from Yahoo! Knowledge plus under designed scenarios are conducted and results are shown in fine details.
      Citation: Program
      PubDate: 2017-02-21T09:32:41Z
      DOI: 10.1108/PROG-01-2015-0008
       
  • A comparison among approaches for recommending learning objects through
           collaborative filtering algorithms
    • First page: 35
      Abstract: Program, Volume 51, Issue 1, April 2017.
      Purpose This paper aims to present the results of a comparison among three different approaches for recommending Learning Objects inside a repository. The comparison focuses not only on prediction errors but also on the coverage of each tested configuration. Design/methodology/approach We compared the offline evaluation by using pure collaborative filtering algorithms with two other different combinations of preprocessed data. The first approach for preprocessing data consisted of clustering users according to their disciplines resemblance, while the second approach consisted of clustering learning objects according to their textual similarity regarding title and description. The three methods were compared with respect to the mean average error between predicted values and real values. Moreover, we evaluated the impact of the number of clusters and neighborhood size on the user-coverage. Findings Clustering learning objects has improved the prediction error measure with a small loss on user-coverage when compared to the pure collaborative filtering approach. On the other hand, the approach of clustering users failed in both the error and in user-space coverage. It also became clear that the neighborhood size is the most relevant parameter to determine how large the coverage will be. Research limitations/implications The methods proposed here were not yet evaluated in a real-world scenario, with real users opinions about the recommendations and their respective learning goals. Future work is still required to evaluate users opinions. Originality/value This research provides evidence towards new recommendation methods directed towards learning object repositories.
      Citation: Program
      PubDate: 2017-02-21T09:32:32Z
      DOI: 10.1108/PROG-05-2016-0044
       
  • Instrument development and contextualization for perceived characteristics
           of e-transactions
    • First page: 52
      Abstract: Program, Volume 51, Issue 1, April 2017.
      Purpose This paper sets out to identify and develop a contextualized model and instrument to assess citizens’ transactions with government organizations, with a view to predicting and elucidating acceptance of e-transactions. For this purpose, a research model (Perceived Characteristics of E-transactions Acceptance) is developed. Design/methodology/approach In order to analyze e-transaction acceptance and identify the requirements of the research context, several models were considered. An approach was employed to contextualize or localize the theoretical model, questionnaire items, and instrument. An online survey gathered the responses of 663 Saudi citizens. Findings Exploratory and confirmatory factor analyses showed that the measurement model was the most suitable for the collected data. In addition to developing a conceptual research model and instrument, the present study provides a rigorous methodology for contextualizing the model, questionnaire items, and instrument. Originality/value This paper develops an original instrument derived from rigorous information systems methodology research. The research model could also be utilized in emerging economies that are implementing e-government to improve the development of e-government services and facilitate acceptance of electronic government transactions, ultimately enhancing citizens’ lives.
      Citation: Program
      PubDate: 2017-02-21T09:32:38Z
      DOI: 10.1108/PROG-04-2016-0035
       
  • Unicorn data scientist: the rarest of breeds
    • First page: 65
      Abstract: Program, Volume 51, Issue 1, April 2017.
      Purpose Many organizations are seeking unicorn data scientists, that rarest of breeds that can do it all. They are said to be experts in many traditionally distinct disciplines, including mathematics, statistics, computer science, artificial intelligence, and more. This paper describes authors’ pursuit of these elusive mythical creatures. Design/methodology/approach Qualitative data were collected through semi-structured interviews with managers/directors from nine Australian state and federal government agencies with relatively mature data science functions. Findings Although the authors failed to find evidence of unicorn data scientists, they are pleased to report on six key roles that are considered to be required for an effective data science team. Primary and secondary skills for each of the roles are identified and the resulting framework is then used to illustratively evaluate three data science Master-level degrees offered by Australian universities. Research limitations/implications Given that the findings presented in this paper have been based on a study with large government agencies with relatively mature data science functions, they may not be directly transferable to less mature, smaller, and less well-resourced agencies and firms. Originality/value The skills framework provides a theoretical contribution that may be applied in practice to evaluate and improve the composition of data science teams and related training programs.
      Citation: Program
      PubDate: 2017-02-21T09:32:56Z
      DOI: 10.1108/PROG-07-2016-0053
       
  • The data-literature interlinking service: towards a common infrastructure
           for sharing data-article links
    • First page: 75
      Abstract: Program, Volume 51, Issue 1, April 2017.
      Purpose Research data publishing is today widely regarded as crucial for reproducibility, proper assessment of scientific results, and as a way for researchers to get proper credit for sharing their data. However, several challenges need to be solved to fully realize its potential, one of them being the development of a global standard for links between research data and literature. Current linking solutions are mostly based on bilateral, ad-hoc agreements between publishers and data centers. These operate in silos so that content cannot be readily combined to deliver a network graph connecting research data and literature in a comprehensive and reliable way. The RDA Publishing Data Services Working Group (PDS-WG) aims to address this issue of fragmentation by bringing together different stakeholders to agree on a common infrastructure for sharing links between datasets and literature. Design/methodology/approach This paper presents the synergic effort of the RDA PDS-WG and the OpenAIRE infrastructure towards enabling a common infrastructure for exchanging data-literature links by realizing and operating the Data-Literature Interlinking Service. The DLI Service populates and provides access to a graph of dataset-literature links (at the time of writing close to five millions, and growing) collected from a variety of major data centers, publishers, and research organizations. Findings To achieve its objectives the Service proposes an interoperable exchange data model and format, based on which it collects and publishes links, thereby offering the opportunity to validate such common approach on real-case scenarios, with real providers and consumers. Feedback of these actors will drive continuous refinement of the both data model and exchange format, supporting the further development of the Service to become an essential part of a universal, open, cross-platform, cross-discipline solution for collecting and sharing dataset-literature links. Originality/value This realization of the DLI Service is the first technical, cross-community, and collaborative effort in the direction of establishing a common infrastructure for facilitating the exchange of dataset-literature links. As a result of its operation and underlying community effort, a new activity, name Scholix has been initiated involving at the technological level stakeholders such as DataCite and CrossRef.
      Citation: Program
      PubDate: 2017-02-21T09:32:54Z
      DOI: 10.1108/PROG-06-2016-0048
       
 
 
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