Empirical Research Using Supply Chain Data: A Tutorial

Subject: Empirical Research Using Supply Chain Data: A Tutorial

Guest: Jing Wu, Assistant Professor, The Chinese University of Hong Kong

Host: Rong Ying, Professor, Antai

Time: Monday, Jul 5, 2021,  14:00-15:30

Venue: A303, Antai

Abstract:

This tutorial focuses on the empirical supply chain research. We will introduce major supply chain datasets and how they are used in UTD research papers. We will cover many supply chain topics including bargaining, contracting, coordination, monitoring and signaling, information diffusion, risk and disruption, as well as the latest research on global supply chains under the Trade War and COVID-19.

Bio:

Dr. Jing Wu is an Assistant Professor in the Department of Decision Sciences and Managerial Economics at the Chinese University of Hong Kong (CUHK) Business School. He graduated from Tsinghua University with a bachelor's degree in Electronic Engineering, and received his MBA and Ph.D. from the University of Chicago Booth School of Business. His main research fields are the operations-finance interface, global supply chains, FinTech, and business intelligence. His papers are published in journals such as Management Science and M&SOM. His articles appear in magazines such as MIT Sloan Management Review, the Economist, and Forbes.

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