IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v11y2024i1p2294875.html
   My bibliography  Save this article

Towards a comprehensive understanding of blockchain technology adoption in various industries in developing and emerging economies: a systematic review

Author

Listed:
  • Zainab Amin Al-Sulami
  • Nor’ashikin Ali
  • Rohaini Ramli
  • Songfeng Lu

Abstract

The fast growth and wide range of applications of blockchain (BC) technology in various industries is irrefutable. Generally, BC technology is still in at an infant stage but it has generated significant interests in many sectors and industries. Nonetheless, despite an uptake of interest on the application of BC technology, the extent of its adoption in various industries in many countries remains partially understood. This paper aims to assess the current status of research on adoption of BC technology in various industries, particularly in developing and emerging economies. This study systematically reviewed the applied theories and models, adoption factors considered in each study, benefits, barriers and challenges of BC adoption intention in different industries from 86 articles published in the past five years from 2019 to end of June 2023. Findings showed several popular adoption models such as the Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology and Task Technology Fit in the reviewed articles. Benefits, barriers and challenges were evident from each of the industries, implying the need to further understand BC adoption and application in these industries. This review also identifies a few research gaps and provides recommendations for future researches.

Suggested Citation

  • Zainab Amin Al-Sulami & Nor’ashikin Ali & Rohaini Ramli & Songfeng Lu, 2024. "Towards a comprehensive understanding of blockchain technology adoption in various industries in developing and emerging economies: a systematic review," Cogent Business & Management, Taylor & Francis Journals, vol. 11(1), pages 2294875-229, December.
  • Handle: RePEc:taf:oabmxx:v:11:y:2024:i:1:p:2294875
    DOI: 10.1080/23311975.2023.2294875
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2023.2294875
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23311975.2023.2294875?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:oabmxx:v:11:y:2024:i:1:p:2294875. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://cogentoa.tandfonline.com/OABM20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.