Examining users' intention to continue using business intelligence systems from the perspectives of end-user computing satisfaction and individual performance

Abstract

End-user computing satisfaction (EUCS) and individual performance have been recognised by many researchers as critical determinants influencing users' intention to use information systems. 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 explore the nature of EUCS with BI systems and to investigate factors that affect users' intention to continue using BI systems after adopting the systems. Therefore, the purpose of this study is to empirically investigate the relationships between EUCS, continuance intention, and individual performance with BI systems. The empirical data collected from 330 users in the Taiwanese electronics industry showed that higher levels of EUCS can lead to increased BI continuance intention and improved individual performance and that higher levels of individual performance will lead to higher levels of BI continuance intention.

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