IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v26y2024i6d10.1007_s10796-024-10538-2.html
   My bibliography  Save this article

Factors Affecting Big Data Analytics Adoption in Small and Medium Enterprises

Author

Listed:
  • Rawan Babalghaith

    (King Saud University)

  • Amer Aljarallah

    (King Saud University)

Abstract

Big data analytics (BDA) has a pivotal role in improving business performance, especially in small and medium enterprises (SMEs). The objective of this study is to examine the determinants and consequences of BDA adoption for SMEs. The theoretical foundation of the study is derived from Technology-Organization-Environment (TOE) framework and Resource-Based View (RBV) theory. Using a survey of 233 SMEs in Saudi Arabia, the results reveal that technical aspects (i.e., complexity and compatibility), environmental aspects (i.e., uncertainty), and organizational aspects (i.e., top management support, organization readiness, and data-driven culture) are perceived as factors that encourage firms to adopt BDA. The study shows a strong relationship between BDA and SMEs’ performance (financial, market, and business process). The empirical work presented in this paper adds to the understanding of the motivators of BDA adoption for SMEs, and consequently the effects of BDA adoption on SME performance. Theoretical and practical implications of the results are discussed further.

Suggested Citation

  • Rawan Babalghaith & Amer Aljarallah, 2024. "Factors Affecting Big Data Analytics Adoption in Small and Medium Enterprises," Information Systems Frontiers, Springer, vol. 26(6), pages 2165-2187, December.
    • Handle: RePEc:spr:infosf:v:26:y:2024:i:6:d:10.1007_s10796-024-10538-2
    DOI: 10.1007/s10796-024-10538-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-024-10538-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-024-10538-2?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.

    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:spr:infosf:v:26:y:2024:i:6:d:10.1007_s10796-024-10538-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.