Yipu Deng

Assistant Professor in Management Information Systems

HKU Business School

Biography

I am an assistant professor in Innovation and Information Management at HKU Business School. I am fortunately advised by Professor Karthik Kannan and Jinyang Zheng from Mitch Daniels School of Business at Purdue University.

My research is about the dynamics of human behaviors in the machine-platform-crowd transformation. I use machine learning, econometrics, and structural modeling methods to study the transformational impacts of information technology on human behaviors.

I am currently seeking self-motivated PhD students and research assistants to join my team!

Interests

Economics of AI
Platform Management (e.g., UGC, Crowdfunding, Education, Healthcare, Live commerce)

Education

Ph.D. in Management Information Systems, 2021
Purdue University
B.B.A. in Management Information Systems, 2016
Shanghai University of Finance and Economics

Publications

A. Cortes Selva, Y. Deng, D. Zhang (2025). COVID19 and Consumer Animus Towards Chinese Products: Evidence from Amazon Data. Journal of Economic Behavior and Organization.

PDF

Y. Deng, J. Zheng, L. Huang, K. Kannan (2022). Let Artificial Intelligence Be Your Shelf Watchdog: The Impact of Intelligent Image Processing-powered Shelf Monitoring on Product Sales. MIS Quarterly 47(3).

PDF

Y. Deng, J. Zheng, W. Khern-am-nuai, K. Kannan (2021). More than the Quantity: The Value of Editorial Reviews for a UGC Platform. Management Science 68(9):6865-6888.

PDF

Working Papers

Y. Deng, J. Zheng, G. Li, and K. Kannan, “When Reward Meets Donation”, Research in Progress.

Y. Deng, J. Zheng, G. Li, and K. Kannan, “Unlocking the Power Durability of Livestream Selling”, Research in Progress.

Y. Yin, Y. Deng, X. Lei, “Taste of Free Lunch: The Impact of Free Product Disclosure on Review Dynamics”, Research in Progress.

S. Liang, X. Zhang, Y. Deng, Y. Fang, “When Artificial Intelligence Speaks, Humans Respond: The Impact of AI-generated Answers on User Contributions”, Research in Progress.

Awards

Kauffman Best Student Paper Award Runner-up, International Conference on Information Systems(ICIS), 2020

Best Dissertation Proposal Award Nomination, The Workshop on Information Technologies and Systems(WITS), 2020

Certificate for Outstanding Research, Purdue University, 2019&2020

Certificate for Distinguished Teaching, Krannert School of Management, 2020

Best Student Paper Award Runner-up, Conference on Information Systems and Technology(CIST), 2018

Teaching

Course Developer & Instructor

IIMT 3643: Data Visualization and Visual Analytics, University of Hong Kong, Spring 2023 ~ now
MGMT 479: Data Visualization, Purdue University, Spring 2020 & 2021

Instructor

IIMT 3636: Decision and Risk Analysis, University of Hong Kong, Spring 2022 ~ now