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Zaiyan Wei

Zaiyan Wei

Associate Professor of Management
Management Information Systems

Education

The University of Arizona, Ph.D. in Economics
Shanghai University of Finance and Economics, M.A. in Economics
Shanghai Jiao Tong University, B.A. in Economics

CV

Zaiyan Wei is an Associate Professor of Management at Purdue University's Mitchell E. Daniels, Jr School of Business. He is a faculty affiliate with the Krenicki Center for Business Analytics and Machine Learning and Dean V. White Real Estate Finance Program. Zaiyan served as an academic committee member at Tsinghua University's Xinyuan FinTech Research Center in the PBC School of Finance and sits on the Advisory Board of CrowdReviews.com.

Zaiyan's research focuses on the economics of information systems, embracing areas like FinTech, platform economics, and the intricacies of social media and networks. His papers have been published in top-tier academic journals, including Information Systems Research, Journal of MIS, Management ScienceMIS Quarterly, and Production and Operations Management, to name a few. His notable works have garnered attention, being nominated or clinching best paper titles at prominent international conferences like CIST and CSWIM. In 2022, Zaiyan was a recipient of the prestigious Sandra A. Slaughter Early Career Award and Krannert Faculty Fellow Award. He has won several grants (e.g., from the Daniels School of Business and Marketing Science Institute) and served as an ad hoc judge for the Alden G. Clayton Doctoral Dissertation Competition and Israel Science Foundation.

Before joining the faculty at Purdue, Zaiyan was a research associate in the Department of MIS at the University of Arizona and obtained his Ph.D. in economics in 2015. He holds a Bachelor's degree in economics from Shanghai Jiao Tong University and a Master's degree in the same discipline from Shanghai University of Finance and Economics.

Contact

zaiyan@purdue.edu
Phone: (765) 494-5958
Office: RAWL 4028

Quick links

Personal website

Area(s) of Expertise

Artificial Intelligence, Business Analytics, Digital Economy, E-Commerce, Economics, Fintech, Information Technology, Machine Learning, Marketing, Real Estate, Social Media