Ying Bao

Assistant Professor of Business Administration

Contact

439 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

Listings

Educational Background

Ph.D., Marketing, University of Toronto at Rotman School of Management, 2020
M.A., Economics, Department of Economics, University of Toronto at University of Toronto, 2014
B.Sc., Economics, Department of Economics, University of Toronto at University of Toronto, 2013

Positions Held

Assistant Professor of Business Administration, Business Administration, University of Illinois at Urbana-Champaign, 2020-2024

Recent Publications

Bao, Y., Landry, P., & Shi, M. Forthcoming. Forgetful Consumers and Consumption Tracking Technology. Management Science. link >
Bao, Y., Osborne, M., Wang, E., & Jaenicke, E. (2024). BMI/Obesity and Consumers’ Price Sensitivity: Implications for Food Tax Policies. PNAS Nexus, 3 (6).
Yao, ., & Bao, Y. (2024). Leveraging visual cues and pricing strategies: An empirical investigation of the pre-owned luxury market. Journal of Global Fashion and Marketing, 15 (2), 286-301.

Other Publications

Articles

Bao, Y., Shi, M., & Kalra, A. (2022). Designing Product Development Contracts in the Presence of Managerial Lobbying. Management Science.

Presentations

Bao, Y., Fang, L., & Osborne, M. (2024). The Effect of Quality Disclosure on Firm Entry and Exit Dynamics: Evidence from Online Review Platforms. Summer Institute in Competitive Strategy, Haas School of Business, University of California, Berkeley.
Bao, Y., Fang, L., & Osborne, M. (2024). The Effect of Quality Disclosure on Firm Entry and Exit Dynamics: Evidence from Online Review Platforms. Marketing Dynamics Conference, McGill University and Queen's University.
Bao, Y., Fang, L., & Osborne, M. (2024). The Effect of Quality Disclosure on Firm Entry and Exit Dynamics: Evidence from Online Review Platforms. Marketing Strategy Consorsium, University of Cologne.
Bao, Y. (2024). The Effect of Quality Disclosure on Firm Entry and Exit Dynamics: Evidence from Online Review Platforms. NBER Digital Economics and AI Meeting, NBER.
Bao, Y. (2024). The Effect of Quality Disclosure on Firm Entry and Exit Dynamics: Evidence from Online Review Platforms. Digital Economics Conference.
Bao, Y., Fang, L., & Osborne, M. (2023). The Effect of Quality Disclosure on Firm Entry and Exit Dynamics: Evidence from Online Review Platforms. Invited Seminar, Chinese University of Hong Kong, Shenzhen.
Bao, Y., & Landry, P. (2023). Forgetful Consumers and Consumption Tracking. Behavioral Industrial Organization & Marketing Symposium, University of Michigan.
Bao, Y., Osborne, M., Wang, E., & Jaenicke, E. (2022). BMI, Food Purchase, and Price Sensitivity. Chinese University of Hong Kong, Shenzhen.
Bao, Y., Osborne, M., Wang, E., & Jaenicke, E. (2022). BMI, Food Purchase, and Price Sensitivity. Chinese University of Science and Technology.
Bao, Y., Osborne, M., Wang, E., & Jaenicke, E. (2022). BMI, Food Purchase, and Price Sensitivity. Northeastern University.
Bao, Y., Osborne, M., Wang, E., & Jaenicke, E. (2022). BMI, Food Purchase, and Price Sensitivity. Tianjin University.
Yao, Y., & Bao, Y. (2022). Visual Cues and Pricing Strategies in Preowned luxury Digital Market During Pandemic: An Empirical Investigation. AMS.
Yao, Y., & Bao, Y. (2021). Visual Cues and Pricing Strategies in Preowned luxury Digital Market During Pandemic: An Empirical Investigation. Global Fashion Management Conference.
Bao, Y., Osborne, M., Wang, E., & Jaenicke, E. (2021). BMI, Food Purchase, and Price Sensitivity. Pennsylvania State University.
Bao, Y., Landry, P., & Shi, M. (2020). Consumer Forgetting and Consumption Tracking Technology. Behavioral Industrial Organization & Marketing Symposium.
Bao, Y., Landry, P., & Shi, M. (2020). Consumer Forgetting and Consumption Tracking Technology. China Marketing International Conference.
Bao, Y., Landry, P., & Shi, M. (2020). Consumer Forgetting and Consumption Tracking Technology. Marketing Science.
Bao, Y., Landry, P., & Shi, M. (2020). Consumer Forgetting and Consumption Tracking Technology. University of Iowa.
Bao, Y., Osborne, M., Wang, E., & Jaenicke, E. (2020). BMI, Food Purchase, and Price Sensitivity. Virtual Quantitative Marketing Seminar.

Working Papers

Bao, Y., Fang, L., & Osborne, M. The Effect of Quality Disclosure on Firm Entry and Exit Dynamics: Evidence from Online Review Platforms.
Bao, Y., Shi, M., & Waiser, R. Uniform Commission Contract and Sales Agent Identification.
Bao, Y., Osborne, M., Wang, E., & Jaenicke, E. BMI, Food Purchase, and Promotional Sensitivity.

Grants

Alleviating Mobile Phone Addiction Through Goal Design, Gies College of Business, 2023-2025
Campus Research Board Research Grant, University of Illinois, 2021-2023
Junior Faculty Grant, Gies College of Business, 2021-2022,2021-2022,2022-2023

Service

Reviewers, Decision Science, 2023 to present
Ad Hoc Reviewer, Production and Operations Management, 2022 to present
Ad Hoc Reviewer, Management Science, 2022 to present
Ad Hoc Reviewer, Journal of Global Fashion and Marketing, 2022
Ad Hoc Reviewer, journal of current issues & research in advertising, 2022

Teaching Interests

Consumer Analytics
Business Analytics

Research Interests

Digital Marketing, Consumer Well-being, Behavioural Economics, (In)attention, Contract Design, Food Consumption, Technology Adoption

Current Courses

Business Analytics II (BADM 211) Builds on the foundation from the Business Analytics I (BADM 210), synthesizes concepts through hands-on application and project-based learning. Focuses on data acquisition, organization, analysis and visualization in a business setting. Expanding on the use of statistics in generating basic inferences to predictive modeling Identify opportunities for improving business decisions using data, conduct relevant analysis of the gathered and cleaned data, and finally, interpret and present analysis outcomes to decision makers. Using statistical tools and software applications to identify business problems, acquire relevant data, and generate analytic solutions using advanced analytics techniques and tools for generating insights. Introduces the students to analyzing, learning, and prediction using advanced analytics techniques and tools for generating business insights. This course will provide a practical introduction to various techniques regarding clustering, text mining, classification and decision trees, and time series analysis. Finally, the course will introduce advanced and emerging topics in predictive analytics.
Consumer Analytics (BADM 395) Special topics of interest to students majoring in Business Administration.
Consumer Analytics (BADM 590) Special topics in the general area of business. Topics are selected by the instructor at the beginning of each term.