Understanding business intelligence system continuance intention

Abstract

There is currently a trend for companies to invest in business intelligence (BI) systems to enhance their management decision-making capability. Even though a great deal of attention has been paid to the practical decision-making benefits of BI system adoption, there is still a lack of research to investigate factors that affect users’ intention to continue using BI systems after they had already adopted the systems. Therefore, the aim of the study is to examine post-adoption cognitive beliefs and factors influencing users’ intention to continue using BI systems. This study compares three theoretical models, namely, the Expectation-Confirmation Model of IS Continuance (ECM), the Technology Acceptance Model (TAM), and a synthesized model combining ECM and TAM to examine which model can best explain users’ intentions to continue using BI systems. Survey data collected from 330 respondents in the Taiwanese electronics industry were examined using structural equation modeling. Our findings indicate that the synthesized model was the most parsimonious and had a greater explanatory power than the TAM and ECM models. The results suggest that users’ continuance intention is determined by perceived usefulness and satisfaction. Several implications and limitations of this study are discussed.