• Part of
    Ubiquity Network logo
    Submit a journal article Submit a book proposal

    Read Chapter
  • No readable formats available
  • M-government Adoption Research Trends: A Systematic Review

    Thamer Alshammari Yen Cheung Chris Messom

    Chapter from the book: Australasian Conference on Information Systems, . 2018. Australasian Conference on Information Systems 2018.

     Download

    Mobile government (m-government) adoption is a relatively new area in the field of information systems which has only started to attract research attention in the last few years. This paper presents a systematic review of m-government adoption to investigate its current and future research directions. This paper reviews 30 studies that were published in scientific journals and conferences during the last five years on the topic of m-government. It analyzes the research in terms of research methodology, theories used, stakeholders, limitations and recommendations. Results of this paper indicate that the quantitative approach is the most commonly used methodology and the Technology Acceptance Model is the most prevalent theory used in m-government research. A majority of reported limitations of the published research are related to samples and generalizability. Following an analysis of the results, more focus on stakeholders’ roles in m-government adoption is suggested and this is believed to be a significant agenda for future research in this area.

    Chapter Metrics:

    How to cite this chapter
    Alshammari, T et al. 2018. M-government Adoption Research Trends: A Systematic Review. In: Australasian Conference on Information Systems, (ed.), Australasian Conference on Information Systems 2018. Sydney: University of Technology Sydney ePress. DOI: https://doi.org/10.5130/acis2018.aq
    License

    This chapter distributed under the terms of the Creative Commons Attribution + Noncommercial + NoDerivatives 4.0 license. Copyright is retained by the author(s)

    Peer Review Information

    This book has been peer reviewed. See our Peer Review Policies for more information.

    Additional Information

    Published on Jan. 1, 2018

    DOI
    https://doi.org/10.5130/acis2018.aq


    comments powered by Disqus