User acceptance of business intelligence application: motivation to learn, technology, social influence, and situational constraints
Tom E. Yoon,
Bong-Keun Jeong and
Biswadip Ghosh
International Journal of Business Information Systems, 2017, vol. 26, issue 4, 432-450
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.
Keywords: business intelligence; BI; BI adoption; technology adoption; motivation to learn; social influence; situational constraint. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=87747 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:26:y:2017:i:4:p:432-450
Access Statistics for this article
More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().