Ying Bao

Ying Bao

Assistant Professor of Business Administration

  • Email

Contact

439 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

217-244-8742

ybao@illinois.edu

Vita

Google Scholar

Website

Update Your Profile Refresh Your Profile

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. Marketing Strategy Consorsium, University of Cologne.
  • 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. (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. Northeastern University.
  • Bao, Y., Osborne, M., Wang, E., & Jaenicke, E. (2022). BMI, Food Purchase, and Price Sensitivity. Tianjin University.
  • 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.
  • 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 current issues & research in advertising, 2022
  • Ad Hoc Reviewer, Journal of Global Fashion and Marketing, 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

  • Marketing Research (BADM 322) Focuses on the techniques and methods of marketing research; emphasizes primarily survey research and experimental design; and offers students the opportunity to apply techniques to real-world situations.

  • Intro to Consumer Analytics (BADM 362) Introduces the science side of marketing by studying multiple models and machine learning algorithms used by companies and consulting firms in the different steps of the marketing process. It includes clustering analysis, predictive analysis using linear regression and logistic regression, classification, and principal component analysis. To enhance the learning experience, the course will be strongly based on software applications such as R, Python as well as online data analytics platform Enginius that offer hands-on exposure to real life corporate applications.

  • Cons Analytics: Theory & Pract (BADM 526) Reviews the science side of marketing by studying multiple models used by companies and consulting firms in the different steps of the marketing process. The marketing consulting approach provides a deeper understanding of the process that supports marketing management decisions. To enhance the learning experience, the course will be strongly based on software applications that offer hands-on exposure to real life corporate applications. Students need to have basic knowledge of R or Python.

  • Proseminar in Marketing (BADM 591) Lectures in topics of current interest not covered by regular course offerings. Subjects are announced in the Class Schedule.

Contact

439 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

217-244-8742

ybao@illinois.edu

Vita

Google Scholar

Website

Update Your Profile Refresh Your Profile