Examining the state of empirical business intelligence and analytics research: A poly-theoretic approach |
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| Affiliation: | 1. Department of Information Systems, Robert C Vackar College of Business and Entrepreneurship, The University of Texas Rio Grande Valley, Texas, 78539-2909, USA;2. Department of Accounting, Information Systems & Finance, School of Business, Emporia State University, USA;3. College of Business ITDS Department, University of North Texas, USA;4. Information Systems and Operations Management School of Business, George Mason University, USA |
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| Abstract: | Interest in Business Intelligence and Analytics (BI&A) has led to a growing body of impactful scholarly articles. We investigate the state of BI&A research by answering what is the state of BI&A research in terms of constructs studied, article's macrostructure, and theoretical contributions, and how do the constructs studied, macrostructure, and theoretical contributions, influence an article's impact? We propose a poly-theoretic framework that classifies articles from top IS journals and conferences by studied construct, macrostructure, contribution, distribution, and impact. Findings provide an understanding of how articles’ components influence the impact of BI&A research. Implications and future research areas are discussed. |
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