Start Date

12-16-2013

Description

Business Intelligence (BI) has, in recent years, received wide recognition in the IT business world and academia. Through the BI usage, businesses are able to solve ‘big’ data-related problems for better management decisions across all industries. However, there have been few studies which have clearly articulated a theoretically grounded model and 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, we developed a research model to examine the impact of different stages of enterprise architecture maturity on information quality, identified as one of the critical dimensions of effective use of BI, which in turn affects a manager’s decision-making performance. Mixed methods approach combining qualitative and quantitative study will be used and BI-based organisations managers will be the main pool of subjects for this research.

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Dec 16th, 12:00 AM

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, in recent years, received wide recognition in the IT business world and academia. Through the BI usage, businesses are able to solve ‘big’ data-related problems for better management decisions across all industries. However, there have been few studies which have clearly articulated a theoretically grounded model and 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, we developed a research model to examine the impact of different stages of enterprise architecture maturity on information quality, identified as one of the critical dimensions of effective use of BI, which in turn affects a manager’s decision-making performance. Mixed methods approach combining qualitative and quantitative study will be used and BI-based organisations managers will be the main pool of subjects for this research.