IDEAS home Printed from https://ideas.repec.org/a/igg/jcac00/v10y2020i4p48-69.html
   My bibliography  Save this article

Determinants of Cloud Business Intelligence Adoption Among Ghanaian SMEs

Author

Listed:
  • Acheampong Owusu

    (Business School, University of Ghana, Ghana)

Abstract

This study explores the determinants of Cloud BI adoption among Ghanaian small-medium enterprises (SMEs). The study was guided by the technology-organization-environment (TOE) framework and information systems adoption model and employed the qualitative method through an in-depth interview with data collected from CEOs/key managers from 17 SMEs in Ghana. The results showed that technological characteristics (relative advantage, complexity, and compatibility), organizational characteristics (organization size and organizational readiness), environmental characteristics (competitive pressure and regulatory framework), and owner-manager characteristics (innovativeness and knowledge) influence the adoption of Cloud BI tools and services in Ghanaian SMEs. This study contributes to the body of knowledge by providing a Cloud BI adoption model from a developing country context. Practically, the study provides insights to vendors about the kind of Cloud BI Ghanaian SMEs require. Vendors can also use the findings to create awareness about the services they offer in terms of Cloud BI.

Suggested Citation

  • Acheampong Owusu, 2020. "Determinants of Cloud Business Intelligence Adoption Among Ghanaian SMEs," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 10(4), pages 48-69, October.
    • Handle: RePEc:igg:jcac00:v:10:y:2020:i:4:p:48-69
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCAC.2020100104
    Download Restriction: no
    ---><---

    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:igg:jcac00:v:10:y:2020:i:4:p:48-69. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.