Zhen Li, Ph.D.
College of Business
Program Area: Management
Ph.D., University of North Texas, Operations Management
M.S., University of Maryland - Baltimore County, Information Systems
M.S., University of Maryland - Baltimore County, Statistics
Dr. Zhen Li's primary teaching and research interests include quantitative methods, operations management, supply chain management, statistical analysis, decision sciences, management science, and business analytics. She has been published in European Journal of Operational Research, Annals of Operations Research, International Journal of Applied Management Science, International Journal of Retail & Distribution Management and other academic journals. She is also a member of the Decision Sciences Institute (DSI), the Institute for Operations Research and the Management Sciences (INFORMS), and Academy of Management (AOM).
Li, Z., Yue, J., & Kuo, C. (2018). Design of discrete dutch auctions with consideration of time. European Journal of Operational Research, 265 (3), 1159-1171.
Li, Z. (2017). Effects of last-minute bidding behavior and seller reputation on online auctions. Journal of Marketing Management, 5 (1), 12-20.
Li, Z., & Choi, S. (2017). Impacts of order cycle time on the bullwhip effect: A numerical study. Journal of Management Policy and Practice, 5 (2), 1-12.
Kuo, C., Li, Z., & Ma, J. (2014). On path floats in a stochastic project network. International Journal of Applied Management Science, 6 (2), 136-151.
Li, Z. & Kuo, C. (2013). Design of discrete Dutch auctions with an uncertain number of bidders. Annals of Operations Research, 211 (1), 255-272.
Russell, L. & Li, Z. (2013). Justice and self-efficacy: Implications for influence on performance and satisfaction. Southwest Business and Economics Journal, 21(1), 35-56.
Li, Z. & Kuo, C. (2011). Revenue-maximizing dutch auctions with discrete bid levels. European Journal of Operational Research, 215 (3), 721-729.
Chiang, W. & Li, Z. (2010). An analytic hierarchy process approach to assessing consumers & distribution channel preference. International Journal of Retail and Distribution Management, 38 (2), 78-96.