معرفی
Yuxin Chen is the Global Network Distinguished Professor of Business at NYU Shanghai, with a strong affiliation to the Leonard N. Stern School of Business at New York University. He joined NYU in 2013 after serving as a professor at the Kellogg School of Management, Northwestern University, and having previously taught at NYU Stern for a decade.
His academic journey includes advanced training in both technical and business disciplines. He earned his B.S. in Physics from Fudan University, pursued studies in the Computer Science Department at Zhejiang University, and completed his graduate education in marketing with an M.S.B.A. and Ph.D. from Washington University in St. Louis.
Professor Chen's research focuses on competitive strategies, data-driven marketing, internet marketing, pricing, retailing, structural empirical models, Bayesian econometric methods, and behavioral economics. His work bridges rigorous quantitative analysis with practical marketing applications, contributing significantly to the fields of digital marketing, customer relationship management, and social media strategies.
His publications span top-tier journals including Journal of Marketing Research, Management Science, Marketing Science, and Quantitative Marketing and Economics. The body of his work demonstrates a consistent focus on empirical modeling and data-driven decision-making in marketing contexts.
Scientific Awards:
- 2001 Frank M. Bass Dissertation Paper Award
- 2001 John D.C. Little Award
- 2012 Paul E. Green Award
Editorial Service: Professor Chen currently serves as Associate Editor for Journal of Marketing Research, Management Science, Marketing Science, and Quantitative Marketing and Economics. He is also a Senior Editor for Production and Operations Management Journal (POMS) and Customer Needs and Solutions (CNS), reflecting his influence and leadership in the academic marketing community.
He has taught courses in Branding and Integrated Marketing Communication, Marketing Management, Marketing Research, and Pricing. There is no mention of specific labs, research teams, or grant funding in the provided text.
