IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v26y2017i4p432-450.html
   My bibliography  Save this article

User acceptance of business intelligence application: motivation to learn, technology, social influence, and situational constraints

Author

Listed:
  • Tom E. Yoon
  • Bong-Keun Jeong
  • Biswadip Ghosh

Abstract

Organisations have implemented business intelligence (BI) applications to realise a variety of organisational benefits. However, a majority of BI application implementation projects are unsuccessful. One of the main reasons for the failure is end user resistance to adopt BI applications that their organisation chose. Therefore, it is important to understand how to facilitate individual adoption of BI application. Based on a survey collected among enterprise resource planning (ERP) system users in large to medium sized organisations, this study finds individual intention to adopt a BI application is positively influenced by their motivation to learn the BI application. In addition, the results show that the users' motivation to learn a BI application is influenced by the relative advantage of the application and situational constraints, such as requisite skills/resources and organisational learning climate. These findings provide some practical implications that can help organisations to promote the adoption rate.

Suggested Citation

  • Tom E. Yoon & Bong-Keun Jeong & Biswadip Ghosh, 2017. "User acceptance of business intelligence application: motivation to learn, technology, social influence, and situational constraints," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 26(4), pages 432-450.
    • Handle: RePEc:ids:ijbisy:v:26:y:2017:i:4:p:432-450
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=87747
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijbisy:v:26:y:2017:i:4:p:432-450. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=172 .

    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.