Jie Ning, PhD, assistant professor of operations, joined the Weatherhead School of Management in 2013 after receiving her doctoral degree from the University of Michigan. Her research focuses on how firms (should) make operational decisions in the presence of financial constraints and economic incentives. She is particularly interested in studying the dynamic coordination between the operational and financial decisions of a single firm and the interaction between multiple financially constrained firms. Ning’s research extends to empirical operations management; interfaces of operations, finance, and economics; risk management; and stochastic optimization. Ning has worked with a number of Fortune 500 companies on a combination of empirical and theoretical research projects.
Jie received her PhD in industrial and operations engineering in 2013. She holds a MS in physics, a MSE in industrial and operations engineering from University of Michigan, and a BS in physics from the University of Science and Technology of China. She instructs students in Operations Research and Supply Chain Management as well as other courses.
Curriculum Vita
PhD, University of Michigan, Ann Arbor, 2013
MS, University of Michigan, 2008
BS, University of Science and Technology of China, 2006
Initially Appointed: 2013
Research
Interfaces of Operations with Finance and Economics
Supply Chain Management
Markov Decision Process and Its Applications
Empirical Operations Management
Recent Courses and Syllabi
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- Ning, J., Sobel, M.
(2018).
Production and Capacity Management with Internal Financing
(vol. 20, issue 1, pp. 147-160).
Manufacturing & Service Operations Management.
- Ning, J., Babich, V.
(2018).
R&D investments in the presence of knowledge spillover and debt financing: can risk-shifting cure free-riding?
(vol. 20, issue 1, pp. 97-112).
Manufacturing & Service Operations Management.
- Ning, J., Babich, V., Handley, J., Keppo, J.
Risk-Aversion and B2B Contracting under Asymmetric Information: Evidence from Managed Print Services
(vol. Forthcoming, ).
Operations Research.
