Xuanming Su

• Fei Gao and Xuanming Su (2018), Omnichannel Service Operations with Online and Offline Self-Order Technologies, Management Science, 64(8): 3595-3608.
• Fei Gao and Xuanming Su (2017), Online and Offline Information for Omnichannel Retailing, Manufacturing & Service Operations Management, 19(1): 84-98.
• Fei Gao and Xuanming Su (2017), Omnichannel Retail Operations with Buy-Online-and-Pickup-in-Store, Management Science, 63(8): 2478-2492.
• G. Roels and Xuanming Su (2014), Optimal Design of Social Comparison Effects: Setting Reference Groups and Reference Points, Management Science, 60(3): 606-627.
• T-H. Ho, Xuanming Su, Y. Wu (2014), Distributional and Peer-induced Fairness in Supply Chain Contract Design, Production and Operations Management, 23(2): 161-175.
• T-H. Ho and Xuanming Su (2013), A Dynamic Level-k Model in Sequential Games, Management Science, 59(2): 452-469.
• Y. Chen, Xuanming Su, X. Zhao (2012), Modeling Bounded Rationality in Capacity Allocation Games with the Quantal Response Equilibrium, Management Science, 58(10): 1952-1962.
• Xuanming Su (2010), Optimal Pricing with Speculators and Strategic Consumers, Management Science, 56 (1) 25-40.
• Xuanming Su (2010), Intertemporal Pricing and Consumer Stockpiling, Operations Research, 58 (4) 1133-1147.
• Ho, T-H. and Xuanming Su (2009), Peer-Induced Fairness in Games, American Economic Review, 99 (5) 2022-2049.
• All Research from Xuanming Su »

Past Courses

• OIDD2900 - Decision Processes

  This course is an intensive introduction to various scientific perspectives on the processes through which people make decisions. Perspectives covered include cognitive psychology of human problem-solving, judgment and choice, theories of rational judgment and decision, and the mathematical theory of games. Much of the material is technically rigorous. Prior or current enrollment in STAT 1010 or the equivalent, although not required, is strongly recommended.

• OIDD9400 - Operations Mgmt

  Concepts, models, and theories relevant to the management of the processes required to provide goods or services to consumers in both the public and private sectors. Includes production, inventory and distribution functions, scheduling of service or manufacturing activities, facility capacity planning and design, location analysis, product design and choice of technology. The methodological basis for the course includes management science, economic theory,organization theory, and management information system theory.

• Best Paper Award in Management Science, 2020
• Best Paper Award in Manufacturing & Service Operations Management, 2020
• Best Paper Award in Management Science, Finalist, 2019
• MSOM Practice-Based Research Award, Finalist, 2017
• MSOM Young Scholar Prize, 2014
• Best Paper Award, Manufacturing and Service Operations Management Society, INFORMS, 2010
• Best Paper Award, Behavioral Operations Section, INFORMS, 2009
• NSF CAREER Award, 2008
• Schwabacher Fellowship, Haas School of Business, UC Berkeley, 2008
• Wickham Skinner Early Career Research Accomplishments Award, Production and Operations Management Society, 2008
• Meritorious Service Award, Manufacturing and Service Operations Management, 2007
• Junior Faculty Paper Competition, INFORMS, Honorable Mention, 2006
• George E. Dantzig Dissertation Award, INFORMS, Honorable Mention, 2004

Knowledge @ Wharton

• How Can Companies Incentivize AI Adoption?, Knowledge @ Wharton - 01/13/2026
• Does Testosterone Affect Men’s Economic Decisions?, Knowledge @ Wharton - 01/13/2026
• The State of Leadership in Uncertain Times | Mike Useem, Knowledge @ Wharton - 01/13/2026
• The Fed Chair Transition and the Future of Central Bank Independence, Knowledge @ Wharton - 01/09/2026
• Special Report: The AI Skills Gap, Knowledge @ Wharton - 01/09/2026
• Six AI Trends Shaping Business, Education, and Markets in 2026, Knowledge @ Wharton - 01/07/2026
• Data-Driven NFL Playoffs and College Football’s Shifting Power, Knowledge @ Wharton - 01/07/2026
• The Psychology of New Year’s Resolutions | Katy Milkman, Knowledge @ Wharton - 01/06/2026
• How AI and Bayesian Models Are Reshaping Sports Analytics, Knowledge @ Wharton - 12/31/2025
• What to Expect for Real Estate in 2026, Knowledge @ Wharton - 12/31/2025