Mingyu (Max) Joo

Positions

Assistant Professor, UC Riverside, 2018-Present

Assistant Professor, Ohio State Univ., 2012-2018

Education

Ph.D. in Marketing, Syracuse Univ., 2012

M.S. in Statistics, Stanford Univ., 2007

B.S. in Industrial Management, KAIST, 2001

Editorial Appointments

Associate Editor, Decision Sciences (Marketing/OM/IS Interface), 2019-Present

Associate Editor, Information Economics and Policy, 2017-Present

Research Interests

Dynamic Pricing, Advertising, Product Design, Online Experiments, Machine Learning

Journal Publications

Temporal Distance and Price Responsiveness: Empirical Investigation of the Cruise Industry.

Management Science (forthcoming) with Dinesh K. Gauri and Kenneth C. Wilbur

Divergent Temporal Courses for Liking vs. Wanting in Response to Persuasion. [SSRN_Download]

Emotion (2020) with Wendy Liu and Kenneth C. Wilbur

Advertising and Brand Attitudes: Evidence from 575 Brands over Five Years. [SSRN_Download]

Quantitative Marketing and Economics (2019) with Rex Y. Du and Kenneth C. Wilbur

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_Download]

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_Download]

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_Download]

Management Science (2014) with Kenneth C. Wilbur, Bo Cowgill and Yi Zhu

Winner, John D.C. Little Best Paper Award
Finalist, Frank M. Bass Outstanding Dissertation Award

Bidding Strategies and Consumer Savings in NYOP Auctions.

Journal of Retailing (2012) with Tridib Mazumdar and S. P. Raj

Working Papers

An Economic Model of Price Comparison with Consumers’ Internal Standards

with Dong Soo Kim

A Hybrid Approach to Counterfactual Demand Predictions Using Machine Learning Methods

with Dong Soo Kim, Chul Kim and Hai Che

Reconciling Stated and Revealed Preferences

with Nino Hardt, Youngju Kim, Jaehwan Kim and Greg M. Allenby

AMA ART Forum Best Paper Award

Demand Allocation Effects of Product line Pricing with Advance Selling

with Kenneth C. Wilbur and Dinesh K. Gauri

Awards and Honors

Runner-Up, MSI 2018-2020 Research Priorities Working Paper Competition, 2018

Best Paper Award, AMA Advanced Research Techniques Forum, 2017

Winner, John D.C. Little Award for the Best Marketing Paper Published in Marketing Science or Management Science, 2015

Finalist, Frank M. Bass Award for the Best Marketing Paper Derived from a Ph.D. Thesis Published in INFORMS journals, 2015

Procter and Gamble Research Grant (co-PI with G.M. Allenby), 2014

Haring Symposium Faculty Representative, Indiana University, 2014

All-University Doctoral Prize, Syracuse University, 2012

AMA-Sheth Foundation Doctoral Consortium Fellow, Texas Christian University, 2010

MSI-WIMI Research Grant (co-PI with K. C. Wilbur and Y. Zhu), 2010

Future Professoriate Award, Syracuse University, 2009

Upcoming Talks

Artificial Intelligence in Management Workshop and Conference, USC (March, 2020)

Department of Statistics, UC Riverside (March, 2020)

Department of Economics, UC Riverside (March, 2020)

Symposium on Data Science and Statistics, Pittsburgh (June, 2020)

INFORMS Marketing Science Conference, Duke University (June, 2020)

IISA Conference, Statistics in the Era of Evidence Based Inference, UIC (July, 2020)

Mingyu (Max) Joo

About Me