BLB 319E

Dr. Aaron Bonnett is an Assistant Professor in the Department of Information Technology and Decision Sciences. His research sits at the intersection of digital transformation and operational performance, specifically investigating how data analytics and information technology drive efficiency in complex organizational environments.
With a Ph.D. in Business Administration (concentration in Operations and Supply Chain Management) from the Mays Business School at Texas A&M University, Dr. Bonnett’s work emphasizes the practical application of rigorous econometric modeling to solve industry-level challenges. His current research portfolio examines the impact of healthcare service delivery models, digital transformation strategies, and the role of data-driven decision-making in enhancing supply chain effectiveness.
Dr. Bonnett’s research has been featured in the Journal of Operations Management, a premier global outlet for operations research, as well as the International Journal of Operations and Production Management. Beyond his own scholarship, he is an active contributor to the academic community, serving as a reviewer for both the Journal of Operations Management and the Production and Operations Management Journal.
Driven by the objective to bridge the gap between academic theory and real-world practice, Dr. Bonnett frequently collaborates with healthcare organizations and industry stakeholders. His goal is to translate complex data insights into measurable improvements in performance, value creation, and operational excellence.