Abstract
There appears to be a trend toward companies investing in business intelligence (BI) systems to improve analytical capabilities to support decision making. In this study I investigated the determinants of user acceptance of BI systems. I compared 3 competing models, that is, the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and the decomposed TPB (DTPB), to determine which best explains users' intentions to adopt BI systems. Data collected from 330 Taiwanese electronics industry firms were tested using structural equation modeling. The findings indicate that the DTPB model was the most parsimonious and had greater explanatory power than the TAM and TPB models.
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