Analyzing the Strategic Role of Business Intelligence Systems in Enhancing Dynamic Capabilities and Competitive Advantage in Data-Driven Enterprises

Authors

  • Eva Nowak BI Architect, Poland Author

Keywords:

Business Intelligence Systems, Dynamic Capabilities, Competitive Advantage, Data-Driven Enterprises, Strategic Management, Decision Support Systems, Organizational Agility

Abstract

This study explores the strategic impact of Business Intelligence Systems (BIS) in bolstering dynamic capabilities and fostering competitive advantage within data-driven enterprises. As data becomes a pivotal organizational asset, enterprises must adapt through systems that integrate real-time analytics, knowledge management, and decision automation. The paper synthesizes current literature and theoretical models to demonstrate how BIS influence sensing, seizing, and transforming capabilities. Through a conceptual framework, this study outlines the interplay between BIS, dynamic capabilities, and sustainable competitive positioning, offering evidence-based insights for managers and scholars. Key implications for strategic management in digital transformation contexts are also addressed.

References

Hannula, M., & Pirttimäki, V. (2003). Business intelligence as a managerial tool in large Finnish companies. Journal of Strategic Information Systems, 12(2), 45–66.

Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. Journal of Information Systems, 22(1), 155–185.

Isik, Ö., Jones, M. C., & Sidorova, A. (2013). Business intelligence success: The roles of BI capabilities and decision environments. Decision Support Systems, 54(1), 13–23.

Wixom, B. H., & Watson, H. J. (2010). The BI-based organization. MIS Quarterly Executive, 9(1), 17–28.

Cheng, C. H., & Willems, B. (2016). The influence of data governance on decision-making effectiveness in BI environments. Information Systems Research, 27(3), 634–652.

Chen, H., Chiang, R. H. L., & Storey, V. C. (2010). Business intelligence and analytics: From big data to big impact. Information Systems Frontiers, 12(3), 313–331.

Popovič, A., Hackney, R., Coelho, P. S., & Jaklič, J. (2012). Towards business intelligence systems success: Effects of maturity and culture on analytical decision making. Decision Support Systems, 53(1), 730–741.

Trieu, V. H. (2017). Getting value from business intelligence systems: A review and research agenda. Information & Management, 54(2), 146–156.

Lönnqvist, A., & Pirttimäki, V. (2006). The measurement of business intelligence. Industrial Management & Data Systems, 106(1), 32–49.

Schläfke, M., Silvi, R., & Möller, K. (2013). A framework for business analytics in performance management. Management Accounting Research, 24(4), 291–306.

Davenport, T. H., Harris, J. G., & Morison, R. (2007). Competing on analytics. Harvard Business Review, 85(5), 98–107.

Jourdan, Z., Rainer, R. K., & Marshall, T. E. (2008). Business intelligence: An analysis of the literature. Journal of Computer Information Systems, 48(3), 69–76.

Ranjan, J. (2009). Business intelligence: Concepts, components, techniques and benefits. Journal of Knowledge Management, 13(1), 60–70.

Mithas, S., Ramasubbu, N., & Sambamurthy, V. (2011). How information management capability influences firm performance. MIS Quarterly, 35(1), 237–256.

Seddon, P. B., Constantinidis, D., & Dod, H. (2017). How does business analytics contribute to business value? Journal of Business Research, 70(2), 326–339

Downloads

Published

2023-03-06