Investigating factors influencing the adoption of business intelligence systems: an empirical examination of two competing models Online publication date: Tue, 30-Sep-2014
by Chung-Kuang Hou
International Journal of Technology, Policy and Management (IJTPM), Vol. 13, No. 4, 2013
Abstract: Even though much attention has been paid to decision-making benefits of Business Intelligence (BI) systems adoption in practice, there is still a lack of empirical research to investigate factors that influence the adoption of BI systems. Therefore, it is important to understand why users of a BI system choose to accept and use the system. This study compares two competing theoretical models, namely, the Technology Acceptance Model (TAM) and the Decomposed TPB (DTPB) to examine which model can best explain user intentions to use BI systems. Survey data collected from 339 respondents in Taiwan's electronics industry were examined using structural equation modelling. Our findings indicate that the DTPB model was the most parsimonious and provided better explanatory power than the TAM model. Additionally, the DTPB model helps improve understanding of subjective norms and perceived behavioural control as the determinants of behavioural intention. Several implications and limitations of this study are discussed.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Technology, Policy and Management (IJTPM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook