Investigating factors influencing the adoption of business intelligence systems: an empirical examination of two competing models

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.

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