IDEAS home Printed from https://ideas.repec.org/a/taf/tjbaxx/v9y2026i2p140-154.html

Navigating the landscape of big data analytics adoption in the UAE public sector

Author

Listed:
  • Amina Abdulrahim
  • Amal Abdulrahim
  • Mohamed Yacine Haddoud
  • Bader Obeidat

Abstract

Integrating big data analysis is increasingly becoming a key strategic tool for public institutions seeking to enhance their effectiveness. The emergence of various Big Data Analytics (BDA) technologies has made this task accessible to many organisations. However, adopting such technologies has faced challenges, particularly due to employee resistance, resulting in an unpromising scenario for most public institutions. Moreover, the existing literature on technology adoption appears to have neglected the unique context of the non-Western public sector. To bridge this gap, this study examines the key determinants of adopting BDA within the UAE public sector, drawing on the Technology-Organisation-Environment (TOE) framework. Using a sample of 169 public sector employees, intriguing findings emerged, revealing that four out of seven factors proved to be less important. This underscores the need for further exploratory studies to identify more pertinent factors in this specific and nuanced context.

Suggested Citation

  • Amina Abdulrahim & Amal Abdulrahim & Mohamed Yacine Haddoud & Bader Obeidat, 2026. "Navigating the landscape of big data analytics adoption in the UAE public sector," Journal of Business Analytics, Taylor & Francis Journals, vol. 9(2), pages 140-154, April.
  • Handle: RePEc:taf:tjbaxx:v:9:y:2026:i:2:p:140-154
    DOI: 10.1080/2573234X.2025.2533223
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/2573234X.2025.2533223
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/2573234X.2025.2533223?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

    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:tjbaxx:v:9:y:2026:i:2:p:140-154. 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://www.tandfonline.com/tjba .

    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.