Operations & Management
Science
Tuck’s Operations and Management Science group examines the most pressing challenges facing production and service operations in the global economy. The path-breaking faculty members use prescriptive models and data-driven analytics to understand and improve decision-making in myriad disciplines.
Through exploration of topics like consumer behavior, managing the global supply chain, the impact of AI on decision-making, organizational performance in health care, and more, faculty in Tuck’s Operations and Management Science group offer a wealth of expertise and wide-ranging research that has real-world impact. Their award-winning work has appeared in numerous top journals and publications, including Management Science, Manufacturing and Service Operations Management, Operations Research, Production and Operations Management, and more.
Our
Faculty
Laurens Debo
Professor of Operations Management; C.V. Starr Professor of Operations Management; Area Chair, Operations and Management Science
Joseph M. Hall
Senior Associate Dean for Teaching and Learning; David T. McLaughlin D’54, T’55 Clinical Professor
Robert A. Shumsky
Professor of Operations Management; Co-Faculty Director, Master of Health Care Delivery Science
James Siderius
Assistant Professor of Business Administration; Wei-Chung Bradford Hu T’89 Faculty Fellow
James Smith
Jack Byrne Distinguished Professor in Decision Science
Brian T. Tomlin
William and Josephine Buchanan Professor of Management
Affiliated
Faculty
Devin Balkcom
Adjunct Professor of Business Administration; Professor of Computer Science, Dartmouth College
Featured
Research
Living in a Post-Truth World
A conversation with James Siderius, assistant professor of business administration, on AI, social media, and the misinformation problem.
Tuck Faculty Forecast Business Trends for the Year Ahead
From AI-powered innovation to shifting workplace dynamics, Tuck faculty predict the top trends that will impact business in 2025.
How Gen AI Can Boost Customer Service
Tuck professor Lauren Xiaoyuan Lu analyzed a generative AI experiment at Alibaba and found it a powerful tool with some surprising outcomes.