معرفی
Michael Shi is an Associate Professor in the Department of Information Systems at the W.P. Carey School of Business, Arizona State University. His research focuses on large-scale data analytics, online markets, social media dynamics, and entrepreneurial innovation. He holds a Ph.D. in Economics from The University of Texas at Austin (2012) and dual degrees in Economics and Mathematics from Peking University (2007).
Education:
- Ph.D. in Economics, The University of Texas at Austin, 2012
- B.A. in Economics, B.S. in Mathematics, Peking University, 2007
Research Interests: Shi explores platform economics, consumer behavior in digital markets, and the application of data analytics to business strategy. His work bridges economics and information systems, analyzing topics like social media network effects, recommendation algorithms, and hidden supplier impacts on operations.
Awards:
- Outstanding Graduate Teaching Award, W.P. Carey School of Business (2015-2016)
Teaching: He regularly teaches Enterprise Data Analytics and Seminar courses, emphasizing practical data-driven approaches. Courses span from 2021 to 2025, reflecting his commitment to advancing analytics education.
