Extending the Theory of Effective Use: the Impact of Enterprise Architecture Maturity stages on the Effective Use of Business Intelligence Systems

Business Intelligence (BI) has received wide recognition in IT, business and academia. Through the use of BI businesses are able to address ‘big data’ related problems for better management decisions across all industries. However, few studies have clearly articulated a theoretically grounded model or provided empirical data to explain what factors influence the effective use of BI. Drawing on the theory of effective use (TEU) and literature on enterprise architecture, business intelligence and IT user performance, I developed a research model to examine the impact of different stages of enterprise architecture maturity on the representational fidelity of BI, which has been identified as one of the critical dimensions of effective use of BI influencing managers’ decisionmaking performance. The study will adopt a mixed methods approach combining qualitative and quantitative data collection from managers in BI-based organizations. This study makes an important theoretical contribution to the study of effective use of BI, and also makes a practical contribution by providing insights into the creation of environments to facilitate more effective BI use in the pursuit of better decision-making performance.