Mingyu (Max) Joo
I am an Associate Professor of Marketing at the School of Business, UC Riverside. My research field is Quantitative Marketing, investigating consumer responses to firms' dynamic advertising and pricing strategies. For more information, you can view my CV, SSRN, Google Scholar, LinkedIn, and UCR Faculty Page.
Contact:
900 University Ave.
Riverside, CA 92521, USA
(951) 827-3733
mingyu.joo at ucr.edu
Published & Forthcoming Articles
Theory-Regularized Deep Learning for Demand-Curve Estimation and Prediction.
Proceedings of the IEEE International Conference on AI for Business (2024) with Chul Kim, Dong Soo Kim and Hai Che
Do Sellers Benefit from Sponsored Product Listings? Evidence from an Online Marketplace. [SSRN]
Marketing Science (2024) with Jiaqi Shi and Vibhanshu Abhishek
Designing Distributed Ledger Technologies, like Blockchain, for Advertising Markets. [SSRN]
International Journal of Research in Marketing (2023) with Seung Hyun Kim, Anindya Ghose and Kenneth C. Wilbur
Temporal Distance and Price Responsiveness: Empirical Investigation of the Cruise Industry. [SSRN]
Management Science (2020) with Dinesh K. Gauri and Kenneth C. Wilbur
Divergent Temporal Courses for Liking vs. Wanting in Response to Persuasion. [SSRN]
Emotion (2020) with Wendy Liu and Kenneth C. Wilbur
Advertising and Brand Attitudes: Evidence from 575 Brands over Five Years. [SSRN][arXiv]
Quantitative Marketing and Economics (2019) with Rex Y. Du and Kenneth C. Wilbur
Finalist, Robert D. Buzzell MSI Best Paper Award, 2020
Runner-up, MSI 2018-2020 Research Priorities Working Paper Competition
Previous version released as MSI Report #13-138
Optimal Product Design by Sequential Experiments in High Dimensions. [SSRN]
Management Science (2019) with Michael L. Thompson and Greg M. Allenby
Presentation available at ASA Statistics in Marketing Online Webinar
Effects of TV Advertising on Keyword Search. [SSRN]
International Journal of Research in Marketing (2016) with Kenneth C. Wilbur and Yi Zhu
Highlighted in "What Should Marketers Read? Our Academic Trustees Tell Us" on MSI.org, 2017
Television Advertising and Online Search. [SSRN]
Management Science (2014) with Kenneth C. Wilbur, Bo Cowgill and Yi Zhu
Winner, Don Morrison Long Term Impact Award, 2023
Finalist, Don Morrison Long Term Impact Award, 2021, 2022
Winner, John D.C. Little Award, 2015
Finalist, Frank M. Bass Dissertation Award, 2015
Bidding Strategies and Consumer Savings in NYOP Auctions.
Journal of Retailing (2012) with Tridib Mazumdar and S. P. Raj
Education
Ph.D. in Marketing, Syracuse University, 2012
M.S. in Statistics, Stanford University, 2007
B.S. in Industrial Management, KAIST, 2001
Recent/Upcoming Talks
IEEE Conference on AI×Business (October 2024)
Teaching
@UCR: Brand Management (FTMBA, Undergrad)
@OSU: Marketing Models (PhD), Optimal Pricing and Product Design (FTMBA), Market Research (Undergrad), CRM (Undergrad), Quantitative Pricing (FTMBA Individual Studies)
@Syracuse: Marketing Principles (Undergrad), Brand Management (Undergrad with Markstrat)