I am an Assistant Professor of Information Systems at W.P. Carey School of Business, Arizona State University.
I work at the interface of economics and computation, with applications in online markets, social media, and innovation. A part of this area is now more commonly known as data analytics/science. I am excited about the ongoing transformation of economics driven by the data and computation revolution.
Before coming to Phoenix, I worked on my Ph.D. in economics at The University of Texas at Austin. I also studied economics and mathematics at Peking University, Beijing, China.
Stay Hungry. Stay Foolish.
Workshop on Information Systems and Economics. Seoul, South Korea. Dec 13-15, 2017.
INFORMS Annual Meeting. Houston, TX. Oct 23-25, 2017.
Conference on Information Systems and Technology. Houston, TX. Oct 21-22, 2017.
Statisitcal Challenge in E-Commerce Research. HCMC, Vietnam. Jun 26-28, 2017
Winter Conference on Business Analytics. Snowbird, Utah. Mar 2-4, 2017
Real Artists Ship.
Zhan (Michael) Shi, Gene Moo Lee, and Andrew
B. Whinston 2015. Towards a Better Measure of Business
Proximity: Topic Modeling for Industry
Intelligence. MIS Quarterly Special Issue on
Transformational Issues of Big Data and Analytics in
Networked Business, forthcoming.
Also in the Proceedings of the 15th ACM Conference on Economics and Computation, 2014. Media stories: Phys, Eurekalert.
Benjamin B.M. Shao, Zhan (Michael) Shi, and Thomas
Y. Choi 2015. Feasibility Study of Nexus Supplier Index:
Identifying and Categorizing Nexus Suppliers through
Business Analytics. CAPS Research Focus Study
Thomas Y. Choi, Benjamin B.M. Shao, and Zhan (Michael) Shi 2015. Hidden Suppliers Can Make or Break Your Operations. Harvard Business Review Online Forum, May 29, 2015. Story: HBR .
Zhan Shi, Huaxia Rui, and Andrew B. Whinston 2014. Content Sharing in a Social Broadcasting Environment: Evidence from Twitter. MIS Quarterly, 38(1), 123-142. Media stories: Yahoo, The Chronicle of Higher Education.
Zhan Shi and Andrew B. Whinston 2013. Network Structure and Observational Learning: Evidence from a Location-Based Social Network. Journal of Management Information Systems, 30(2), 185-212.
Let's go invent tomorrow.
Project on analytics of mobile app markets
Project on spawn advantage
Project on network sampling
Project on platform innovation