https://orcid.org/0000-0002-4049-440X
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ABSTRACT
Individual differences affect how Business Intelligence (BI) systems are used and utilised. Decision-making styles which were regarded as learned habits of how individuals make a decision were believed to be described by two main important aspects including information use and focus are chosen as individual differences in this research. Two view of fit were drawn from the theory to explain how individual differences predict BI usage; Fit as Matching and Fit as Moderation. A total of 122 valid responses were collected. The results of empirical data analyses show that only the rational decision-making style and BI usage is found to be fit as matching. When taking a fit perspective as moderating, the analyses show interesting results. Computer self-efficacy was found to positively moderate the relationship between the avoidant decision-making style and BI usage. Task equivocality was also found to positively moderate the relationship between the spontaneous decision-making style and BI usage. The findings imply different alternative actions for organisation to motivate the use of BI system for individuals with different decision-making styles.
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No potential conflict of interest was reported by the author(s).
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Thanachart Ritbumroong
Thanachart Ritbumroong earned a PhD in information technology in business from the Faculty of Commerce and Accountancy in Chulalongkorn University in Thailand. He has experience in data science, business intelligence, data warehouse, and data mining. His research interests are focused on decision-making, business intelligence, user adoption of technology, and business visualisation and navigation. He has been working as a consultant in various business intelligence projects, for instance; Data Mining and CRM in Retail, Anti-Money Laundering in Banking, Strategic Information System in Transportation, and Executive Information System in Healthcare.