Min Tian

Assistant Professor

Marketing & Logistics

Areas of Expertise

Marketing
  • Advertising
  • Applied Bayesian Modeling in Marketing
  • E-commerce
  • Online/Offline Marketing Interaction
  • Quantitative Marketing

Education

Ph.D., University of Wisconsin - Madison

M.S., Georgetown University

Publications

Tian, M., Kaufman, D. W., Shiffman, S., & Arora, N. (2023). EXPRESS: Over-the-Counter Drug Consumption: How Consumers Deviate from Label Instructions. Forthcoming at Journal of Marketing Research. https://doi.org/10.1177/00222437231199434

Tian, Min, Paul R. Hoban, and Neeraj Arora. "What Cookie-Based Advertising Effectiveness Fails to Measure." Forthcoming at Marketing Science (2023).  Link: https://doi.org/10.1287/mksc.2023.1453

Pang, Huihui, Weigao Ge, and Min Tian. "Solvability of nonlocal boundary value problems for ordinary differential equation of higher order with a p-Laplacian." Computers \& Mathematics with Applications 56, no. 1 (2008): 127-142.

 

Working Papers

Cross Channel Effects and Synergies in Digital and Traditional Advertising (with Paul Hoban and Neeraj Arora)

 

 

Courses

BUSML 4202 - Marketing Research
Course examines the role of marketing research in the formulation and solution of marketing problems. Emphasis is placed on problem formulation, research design, data collection methods (instruments, sampling, operations) and analysis techniques. Prereq: 3250, AcctMIS 2200, 2300, BusOBA 2320, and 2321; and BusMHR 2291 or 2292.
BUSML 7252 - Data Driven Marketing
We will study the impact of analytics on successful marketing decisions with different data set. The course covers a spectrum of topics that include marketing metrics, digital analytics, marketing response models, experimentation, and big data. It is designed for students with some background in quantitative methods and exposure to basic marketing research concepts. Prereq: Enrollment in the Specialized Master in Business Analytics (SMB-A) program, or permission of instructor.