Yanni Ping, Ph.D.

Assistant Professor

Business Analytics & Information Systems

PhD, Decision Sciences, Lebow College of Business, Drexel UniversityMS, Industrial Engineering, Georgia Institute of TechnologyBS, Material Science and Engineering, Shanghai Jiao Tong University

Dr. Yanni Ping is an Assistant Professor in the Business Analytics and Information Systems Department at St. John's University. She holds a Ph.D. in Decision Sciences from Lebow College of Business at Drexel University and has a M.S. in Industrial Engineering from Georgia Institute of Technology. Her main area of research is E-commerce analytics for businesses’ service and operational decisions using machine learning and econometric approaches. Her recent works are published in peer-reviewed journals including Journal of Services Marketing, Electronic Commerce Research and Applications, Electronic Commerce Research, etc. Dr. Ping teaches business statistics, prescriptive analytics and machine learning in business to both undergraduate and MBA students at Tobin College of Business.

Teaching Interests

Business Statistics, Prescriptive Analytics, Data Science and Machine Learning

Research Interests

E-commerce analytics using machine learning and econometric approaches, AI language models and ChatGPT, operations management with marketing interface.

Courses Taught

BUA

611

MACHINE LEARNING FOR BUSINESS

BUA

631

PRESCP ANALYTC & SPRDSHT MODEL

BUA

1333H

MODERN STATISTICS I (HON)

BUA

1333

MODERN STATISTICS I

BUA

3311

FUND OF MACHINE LEARNING - BUS

BUA

3330

INTRO TO BUSINESS ANALYTICS

Select Publications

Journal Articles

Ping, Y., Li, Y., and Zhu, J. (2024). Beyond accuracy measures: the effect of diversity, novelty and serendipity in recommender systems on user engagement. Electronic Commerce Research .

Li, Y., Ping, Y., and Zhong, Y. (2023). Learning-by-doing in Non-homogeneous Tasks: An Empirical Study of Content Creator Performance on a Music Streaming Platform. Electronic Commerce Research and Applications.

Ping, Y., Buoye, A. J., and Vakil, A. F. (2023). Enhanced Review Facilitation Service for C2C Support: Machine Learning Approaches. Journal of Services Marketing.

Ping, Y., Hill, C., Zhu, Y., and Fresneda, J. (2022). Antecedents and Consequences of Key Opinion Leader Status: An Econometric and Machine Learning Approach. Electronic Commerce Research.

Li, Y., He, J., Liu, C., and Ping, Y. (2022). Peer Influence in the Adoption of Video Games . International Journal of E-Business Research. vol. 18, pp. 1-16.

Ping, Y., and Kim, S. (2022). In-House vs Outsourcing: the Effect of Volume-Based Learning on Quality Competition. International Journal of Operational Research. vol. 45,

Ping, Y., and Buoye, A. J. (2022). The Moderating Impact of COVID-19 Attitudes on Customer Brand Engagement and Loyalty . Review of Business (Special Issue: The Global Pandemic and Business Practice). vol. 42,

Ping, Y., Chao, C., Wang, Y., and Wang, F. (2020). The Chinese Students’ Motivations for their Higher Education in the U.S.. Journal of Administrative Sciences and Policy Studies. vol. 8, pp. 1-9.

Ping, Y., Shen, W., and Lev, B. (2019). Using Buyback Contract to Coordinate the Supply Chain with Group Buying. International Journal of Operations and Quantitative Management. vol. 25, pp. 135-151.

Ping, Y., Kim, S., and Wang, M. (2018). A Supplier Selection Model with Quality-Driven Demand and Capacitated Suppliers. International Journal of Operations and Quantitative Management. vol. 24, pp. 1-22.

Conference Proceedings

Ping, Y., Zhu, Y., and Fresneda, J. (2022). Key Opinion Leader and Business Growth: Econometrics and Machine Learning Approaches. Advances in Digital Marketing and eCommerce .

Ping, Y., and Song, L. (2020). Investigating Influencers’ Posts on Instagram: Impact of Influencer Expertise, Post Like Number and Content Richness on Advertising Effectiveness. Proceedings of 2020 Global Marketing Conference . pp. 183-187.