Download Adobe Reader

Faculty and Staff Profile

Shouqiang (Qiang) Wang

Assistant Professor

Office: Sirrine 131D
Phone: 864-656-7418

 Educational Background

PhD Business Administration
Duke University, Fuqua School of Business 2011

MS Statistical Sciences
Duke University 2011

BA Economics
Peking University 2006

BS Mathematics
Peking University 2006

 Courses Taught

Logistics Management
Supplier Management
Decision Models


Shouqiang Wang came to Management Department at Clemson University as an assistant professor in 2011 after he earned his PhD in Business Administration from Duke University Fuqua School of Business. His research interest and expertise is the interface between operations and microeconomic models. In particular, he studies strategic and incentive problems in operations models and supply chains as well as public sectors such as healthcare and national defense, drawing methodologies from game theory, optimization and decision analysis. His work has appeared in academic journals such as Operations Research, Naval Research Logistics, and Mathematical Biosciences. He teaches Logistics Management, Supplier Management at undergraduate level and Decision Models at master levels.

 Research Interests

Operations and Supply Chain Management
Healthcare Management
Economics of Incentives
Decision Analysis

 Research Publications

Does Private Information about Inventories Matter? with Alexandre Belloni and Giuseppe Lopomo (Former Title: "Reverse Ranking and Overshooting in Supply Chains with Private Inventory Information"), (under review).

Network Routing in Insurgency: An Adversarial Risk Analysis Framework, with David Banks, accepted at Naval Research Logistics, 2011.

Adversarial Risk Analysis: Borel Games, with David Banks and Francesca Petralia, Applied Stochastic Models in Business and Industry, 27: 72-86, 2011.

Multi-dimensional Mechanism Design: Finite Dimensional Approximations and Efficient Computation, with Alexandre Belloni and Giuseppe Lopomo, Operations Research, 58(4):1079-1089, 2010.

Decentralized Resource Allocation to Control an Epidemic: A Game Theoretic Approach, with Francis de Vericourt and Peng Sun, Mathematical Biosciences, 222(1):1-12, 2009.