Marco Shaojun Qin

Profile Picture of Marco Shaojun Qin

Marco Shaojun Qin

  • Fox School of Business and Management

    • Marketing

      • Assistant Professor

Biography

Dr. Marco Shaojun Qin is an Assistant Professor in the Department of Marketing and Supply Chain Management.

He joins the Fox School after a successful defense of his doctoral dissertation at the University of Minnesota.

His research interests broadly cover the areas of quantitative marketing and applied industrial organization, exploring the sources of complementarity in various business settings and between products (B2C) and business relationships (B2B).

Qin earned his PhD in Business Administration with a specialization in Quantitative Marketing from the University of Minnesota. He received a Bachelor of Arts in International Economics and Trade from Shanghai Jiao Tong University in China.

Research Interests

  • Empirical Industrial Organization
  • New Technology
  • Pricing
  • Market Structure
  • Competition
  • Dynamic Structural Modeling
  • Two-Sided Matching
  • B2B Marketing

Courses Taught

Number

Name

Level

BA 3591

Directed Business Research

Undergraduate

MKTG 3511

Marketing Research

Undergraduate

MKTG 9003

Sem-Quant Research-Mktg

Graduate

Selected Publications

Recent

  • Qin, S.M., Jia, N., Luo, X., Liao, C., & Huang, Z. (2023). Perceived Fairness of Human Managers Compared with Artificial Intelligence in Employee Performance Evaluation. Journal of Management Information Systems, 40(4), 1039-1070. Informa UK Limited. doi: 10.1080/07421222.2023.2267316.

  • Wang, Y., Qin, M.S., Luo, X., & Kou, Y.E. (2022). Rejoinder: Heterogeneous Impact of Brands’ Support for Black Lives Matter on Consumer Responses. Marketing Science, 41(6), 1053-1056. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mksc.2022.1407.

  • Wang, Y., Qin, M.S., Luo, X., & Kou, Y.E. (2022). Frontiers: How Support for Black Lives Matter Impacts Consumer Responses on Social Media. Marketing Science, 41(6), 1029-1044. Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/mksc.2022.1372.

  • Luo, X., Qin, M., Fang, Z., & Qu, Z. (2021). Artificial Intelligence Coaches for Sales Agents: Caveats and Solutions. Journal of Marketing, 85(2), 14-32. doi: 10.1177/0022242920956676.