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!
Ph.D. in Management Information Systems, 2021
Purdue University
B.B.A. in Management Information Systems, 2016
Shanghai University of Finance and Economics
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.
A. Wang, Y. Deng, J. Zhao, J. Chu, “Grateful Tips or Hidden Costs: The Impact of Monetary Gifts on Patient Decision-Making”, 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.
A. Cortes Selva, Y. Deng, and D. Zhang, “COVID19 and Consumer Animus Towards Chinese Products: Evidence from Amazon Data”, Revise and Resubmit at Journal of Economic Behavior and Organization (JEBO).
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
Course Developer & Instructor
MGMT 479: Data Visualization, Purdue University, Spring 2020 & 2021
Course Evaluation: 4.4~5.0/5.0
Instructor
IIMT 3636: Decision and Risk Analysis, University of Hong Kong, Spring 2022
Course Evaluation: 85~90 /100