Journal Cover Program: Electronic Library and Information Systems
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   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0033-0337
   Published by Emerald Homepage  [335 journals]
  • 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
       
  • The adoption of teaching assistant robots: a technology acceptance model
           approach
    • Pages: 354 - 366
      Abstract: Program, Volume 50, Issue 4, Page 354-366, September 2016.
      Purpose Based on rapid improvements in telecommunications and wireless networks with extensive educational contents, numerous studies have been conducted to improve our educational success/attainment/environment. With this trend, the purpose of this paper is to investigate users’ perceptions of teaching assistant (TA) robots and the possible motivations that impact the users’ intention to use (IU) the robots. Design/methodology/approach In light of the rapid development of and attempts at understanding interactions with social robots, including TA robots, this study uses structural equation modeling and confirmatory factor analysis. Findings The results indicated that perceived usefulness was the most crucial factor determining the users’ IU for TA robots. In addition, the relationships of the original technology acceptance model were confirmed. The study findings demonstrated the crucial importance of perceived enjoyment and service quality. Originality/value Although the role of TA robots has gained user attention, few investigations have been conducted to explain how IU is formed. The current study can thus act as the foundation for exploring the acceptance process in the context of TA robots.
      Citation: Program
      PubDate: 2016-11-14T11:03:30Z
      DOI: 10.1108/PROG-02-2016-0017
       
  • The adoption of teaching assistant robots: a technology acceptance model
           approach
    • Pages: 354 - 366
      Abstract: Program, Volume 50, Issue 4, Page 354-366, September 2016.
      Purpose Based on rapid improvements in telecommunications and wireless networks with extensive educational contents, numerous studies have been conducted to improve our educational success/attainment/environment. With this trend, the purpose of this paper is to investigate users’ perceptions of teaching assistant (TA) robots and the possible motivations that impact the users’ intention to use (IU) the robots. Design/methodology/approach In light of the rapid development of and attempts at understanding interactions with social robots, including TA robots, this study uses structural equation modeling and confirmatory factor analysis. Findings The results indicated that perceived usefulness was the most crucial factor determining the users’ IU for TA robots. In addition, the relationships of the original technology acceptance model were confirmed. The study findings demonstrated the crucial importance of perceived enjoyment and service quality. Originality/value Although the role of TA robots has gained user attention, few investigations have been conducted to explain how IU is formed. The current study can thus act as the foundation for exploring the acceptance process in the context of TA robots.
      Citation: Program
      PubDate: 2016-11-14T11:03:30Z
      DOI: 10.1108/PROG-02-2016-0017
       
  • Examining social capital on mobile SNS: the effect of social support
    • Pages: 367 - 379
      Abstract: Program, Volume 50, Issue 4, Page 367-379, September 2016.
      Purpose The purpose of this paper is to examine the effect of social support on social capital in mobile social networking sites. Design/methodology/approach Based on the 234 valid responses collected from a survey, structural equation modelling was employed to examine the research model. Findings The results indicated that social support, which includes informational support and emotional support, has a significant effect on social capital that consists of structural, relational and cognitive capital. Originality/value Although previous research has found the effect of social capital on user behaviour, it has seldom identified the determinants of social capital. Thus, how to build and develop social capital remains a question. This research examined the effect of social support on social capital.
      Citation: Program
      PubDate: 2016-11-14T11:04:20Z
      DOI: 10.1108/PROG-12-2015-0080
       
  • Open data framework for sustainable assessment of project-based learning
           experiences
    • Pages: 380 - 398
      Abstract: Program, Volume 50, Issue 4, Page 380-398, September 2016.
      Purpose In a project-based learning experience, the detailed monitoring of the activities in which team members participate can be useful to evaluate their work. However, the project activity produces a large amount of data that can be hardly assessed by a single project supervisor. This poses a scalability issue if the number of users or projects size increases. In this vein, the purpose of this paper is to make the assessment of online learning experiences more sustainable. Design/methodology/approach This paper describes a learning-oriented collaborative assessment method, supported by an open data framework. Also, an architecture for the extraction of different indicators to facilitate the assessment process is presented. Findings The assessment method and the open data framework were applied to a project-based course on web engineering. This experience has provided positive evidences because the grade measurement was backed up with assessment evidences and calculated with less effort. Research limitations/implications At the moment, results indicate that apparently there are no significant evidences against the sustainable evaluation practices for students’ summative evaluation. Nevertheless, when more data become available, a more statistically significant analysis could be made to determine the influence of the assessment practices in the final result of the evaluated skills. Originality/value In contrast to various existing proposals for e-assessment, the strategy focuses on assessing learning experiences in software development projects. Also, the approach is based on the reuse of information from external process supporting tools by integrating a number of metrics in a non-intrusive way.
      Citation: Program
      PubDate: 2016-11-14T11:03:28Z
      DOI: 10.1108/PROG-12-2015-0078
       
  • Providing open access to PhD theses: visibility and citation benefits
    • Pages: 399 - 416
      Abstract: Program, Volume 50, Issue 4, Page 399-416, September 2016.
      Purpose The purpose of this paper is to report the benefits of scientific communication model of open access (OA) repositories to e-theses. Specifically, the study focusses on the benefits of accessibility, dissemination, visibility and impact of PhD e-theses deposited in repositories. Design/methodology/approach The study analysed a random sample of 125 PhD e-theses deposited in an OA repository, specifically in the institutional repository (IR) of the University of Salamanca (Gredos). It tracked the sample for analysing on one side the visits and downloads of the e-theses, whose data are obtained from the statistics module of the repository, and on the other side the data citation provided by Google Scholar Citation on these e-theses. To analyse the differences between the indicators (visits, downloads and citations) in different knowledge areas, the Kurskall-Wallis test has been used. Findings The results indicate that OA IRs become an advantageous channel of scientific communication to grey literature like dissertations and PhD theses, because it increases visibility and use and also produces a significant citation rate. Originality/value The paper uses metrics that are used in IR to measure the visibility and impact of a type of grey literature that is very difficult to track because it is unpublished. The dissemination of the grey literature through OA repositories makes it possible. The value of the work lies in the empirical evidence obtained from the analysed PhD e-theses of Gredos repository.
      Citation: Program
      PubDate: 2016-11-14T11:04:10Z
      DOI: 10.1108/PROG-04-2016-0039
       
  • Identifying the uses of mobile technology among Library and Information
           Science undergraduate students
    • Pages: 417 - 430
      Abstract: Program, Volume 50, Issue 4, Page 417-430, September 2016.
      Purpose Mobile technology has redefined the way people communicate and interact. In education, the number of academic institutions developing and offering mobile information services is growing steadily. The purpose of this paper is to identify the use of mobile technology by the Library Science and Information Systems undergraduate students in Greece. Design/methodology/approach A questionnaire was developed drawing from the relevant literature and sent to undergraduate students studying Library and Information Science during the 2014-2015 academic year. Findings It was found that students employed mobile phones for entertainment purposes whereas laptops and desktop computers for performing education-related tasks. Laptops and desktop computers were again mostly used to access library services, namely the OPAC, reference books, journals. Research limitations/implications Academic institutions need to offer services and adopt online learning platforms supported in mobile devices. Students from other disciplines and their acceptance of mobile technology should be explored. Originality/value This study identifies the specific mobile devices that students use to perform a variety of activities, educational and social, as well as the reasons for doing so.
      Citation: Program
      PubDate: 2016-11-14T11:02:40Z
      DOI: 10.1108/PROG-10-2015-0069
       
  • Building loyalty in e-commerce
    • Pages: 431 - 461
      Abstract: Program, Volume 50, Issue 4, Page 431-461, September 2016.
      Purpose Although recent years have shown increasing popularity of e-commerce worldwide, there is still a lack of studies comprehensively exploring trust issue in e-commerce. Based on trust transfer theory and signaling theory, the purpose of this paper is to present an integrated research model to test the relationships between trust dimensions and e-loyalty, interactions among trust dimensions, as well as antecedents of different trust dimensions. Design/methodology/approach Data were collected through a web-based survey in Chinese markets and structural equation modeling with partial least squares was used to analyze the data. Findings The results identified that three trust dimensions all have significant impacts on e-loyalty, and relationships existed in different trust dimensions. Moreover, information quality and security protection are important factors determining institutional trust while store reputation is the most salient factor determining interpersonal trust. Originality/value This research contributes to the body of knowledge on trust by exploring the nature of trust with a multidimensional scale. Another theoretical contribution is the provision of a comprehensive understanding of the trust antecedents in e-commerce. Furthermore, this research benefits the companies doing e-businesses by allowing them to better understand how to improve consumers’ trust in the online environment and thus to retain and attract more loyal customers and succeed in online businesses.
      Citation: Program
      PubDate: 2016-11-14T11:03:46Z
      DOI: 10.1108/PROG-04-2016-0040
       
  • Privacy and trust in Facebook photo sharing: age and gender differences
    • Pages: 462 - 480
      Abstract: Program, Volume 50, Issue 4, Page 462-480, September 2016.
      Purpose The purpose of this paper is to examine gender and age differences regarding various aspects of privacy, trust, and activity on one of the most popular Facebook activity – “photo sharing.” Design/methodology/approach The data were collected using an online survey hosted by a web-based survey service for three weeks during December 2014-January 2015. The target audience comprised of Facebook users over 18 years engaged in sharing their photos on the platform. Findings Women and young Facebook users are significantly more concerned about the privacy of their shared photos. Meanwhile, users from older age groups are less active in using the site, in sharing photos, and in taking privacy-related protective measures. Interestingly, despite having more privacy concerns, young Facebook users display higher trust levels toward the platform than older users. Overall, in the study, there was an extremely significant difference in privacy attitudes among people under and over 35 years of age. Originality/value The main contribution of this study is new knowledge regarding the gender and age differences in various privacy-related aspects, trust, and activity. Findings from the study broadens the overall understanding of how these issues positively/negatively influence the photo-sharing activity on Facebook.
      Citation: Program
      PubDate: 2016-11-14T11:03:12Z
      DOI: 10.1108/PROG-02-2016-0012
       
  • Determining social media impact on the politics of developing countries
           using social network analytics
    • Pages: 481 - 507
      Abstract: Program, Volume 50, Issue 4, Page 481-507, September 2016.
      Purpose The purpose of this paper is to use the Twitter Search Network of the Apache NodeXL data discovery tool to extract over 5,000 data from Twitter accounts that twitted, re-twitted or commented on the hashtag, #NigeriaDecides, to gain insight into the impact of the social media on the politics and administration of developing countries. Design/methodology/approach Several algorithms like the Fruchterman-Reingold algorithm, Harel-Koren Fast Multiscale algorithm and the Clauset-Newman-Moore algorithms are used to analyse the social media metrics like betweenness, closeness centralities, etc., and visualize the sociograms. Findings Results from a typical application of this tool, on the Nigeria general election of 2015, show the social media as the major influencer and the contribution of the social media data analytics in predicting trends that may influence developing economies. Practical implications With this type of work, stakeholders can make informed decisions based on predictions that can yield high degree of accuracy as this case. It is also important to stress that this work can be reproduced for any other part of the world, as it is not limited to developing countries or Nigeria in particular or it is limited to the field of politics. Social implications Increasingly, during the 2015 general election, citizens have taken over the blogosphere by writing, commenting and reporting about different issues from politics, society, human rights, disasters, contestants, attacks and other community-related issues. One of such instances is the #NigeriaDecides network on Twitter. The effect of these showed in the opinion polls organized by the various interest groups and media houses which were all in favour of GMB. Originality/value The case study the authors took on the Nigeria’s general election of 2015 further strengthens the fact that the developing countries have joined the social media race. The major contributions of this work are that policy makers, politicians, business managers, etc. can use the methods shown in this work to harness and gain insights from Big Data, like the social media data.
      Citation: Program
      PubDate: 2016-11-14T11:03:08Z
      DOI: 10.1108/PROG-02-2016-0011
       
 
 
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