Abstract
ABSTRACTThis exploratory study provides a validated, parsimonious research model of antecedents of the perception of the quality of decisions made using business intelligence support. Findings provide insight into little investigated avenues such as the role of problem space complexity in perceived decision quality as well as indicate a more complex interplay among the antecedents of decision quality than heretofore examined. For example, results suggest that there may be a tipping point for which information quality and use of the system support higher perceived decision quality. In addition, these findings provide a direction for future research to generate deeper, more meaningful contributions in our collective understanding of how business intelligence (BI) serves to improve the quality of decision-making.
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