University of North Carolina at Pembroke | United States
Dr. Rajiv Dahiya is an Assistant Professor of Business Analytics at the Thomas College of Business and Economics, University of North Carolina at Pembroke. His research integrates the disciplines of Business Analytics, Decision Science, and Information Systems, focusing on how organizations can leverage data-driven strategies to enhance decision-making, develop dynamic capabilities, and improve firm performance. Drawing on over a decade of professional experience in enterprise systems and analytics, Dr. Dahiya combines theoretical insight with practical applications in quantitative modeling, data visualization, and predictive analytics. His primary research stream examines the strategic role of Big Data Analytics (BDA) and Analytics Human Capital (AHC) in driving competitive advantage and firm outcomes. Building on the Resource-Based and Knowledge-Based Views, his doctoral dissertation, “Firm Performance in the Era of Big Data Analytics: Effects of Analytics Human Capital on Firm Capabilities and Performance,” empirically investigates how analytics expertise within firms fosters superior performance through enhanced decision-making capabilities. This work contributes to the growing body of literature on digital transformation and has been recognized for addressing critical gaps in understanding the human element of analytics success. Dr. Dahiya has published and presented his work in reputed outlets such as the Journal of Strategy and Management, Journal of Strategy & Innovation, and the Southeast Decision Science Institute Proceedings. His studies explore emerging topics including text analytics for content analysis, social media analytics and organizational attractiveness, and data-driven risk modeling in online identity theft. Current projects under review extend his analytical framework to assess the impact of business analytics and decision-making capabilities on organizational performance and employ classification analytics to forecast the success of management practices in Eastern European firms. Methodologically, Dr. Dahiya employs empirical, data-centric approaches such as multivariate regression, structural modeling, and machine learning classification, integrating data from sources like WRDS and Thomson Reuters. His interdisciplinary expertise bridges data science, management theory, and information systems, providing a robust platform for applied business research. Through his work, Dr. Dahiya aims to advance the theoretical understanding and practical deployment of analytics-driven decision support systems in corporate environments. His ongoing contributions align with the mission of developing evidence-based managerial insights that support data-driven transformation in today’s competitive business landscape. He remains an active member of the Decision Sciences Institute (DSI) and INFORMS Analytics Society, promoting research collaboration and knowledge dissemination in analytics and management science.
Featured Publications
Dahiya, R., Le, S., & Kroll, M. J. (2025). Big data analytics and firm performance: The effects of human capital and mediating firm capabilities. Journal of Strategy & Innovation, 36(1).
Dahiya, R., Le, S., Ring, K., & Watson, K. (2022). Big data analytics and competitive advantage: The strategic role of firm-specific knowledge. Journal of Strategy and Management (Special Issue: Digital Transformation & Knowledge Management).
Dahiya, R. (2025). Text analytics for content analysis: A case study in online privacy. Proceedings of the Southeast Decision Science Institute.
Dahiya, R. (2025). Social media analytics and organization attractiveness. Proceedings of the Southeast Decision Science Institute.
Dahiya, R., & Van Slyke, C. (2024). Examining the impacts of analytics human capital on firm performance. Proceedings of the Southeast Decision Science Institute.
Dahiya, R., Kroll, M., Le, S., & Duong, B. (2020). Impact of managerial and employee analytics human capital on firm performance: An empirical study. Proceedings of the Southern Management Association Annual Meeting, St. Pete Beach, FL, October 20–23, 2020.
Dahiya, R., & Van Slyke, C. (2019). Big data analytics and competitive advantage: A systematic literature review. Proceedings of the Decision Science Institute Annual Meeting, New Orleans, LA, November 21–24, 2019.