Hongfei Li is an assistant professor from the Department of Decision Sciences and Managerial Economics (DSME) at the School of Business, Chinese University of Hong Kong (CUHK). Before joining CUHK, he received his Ph.D. from the School of Business at the University of Connecticut and his B.S. and M.S. from Renmin University of China in Beijing.
His current research focuses on three main streams:
He has one publication at ACM Transaction in MIS. He has two papers under revision for the second-round review at Information Systems Research and one paper under revision for the second-round review at Marketing Science. He also has one paper under reject and resubmit at Organization Science. During his Ph.D. career, he has taught two courses: operations management (OPIM 3104) and business information systems (OPIM 3103). He is interested in teaching technical courses related to mathematics, statistics, econometrics, and computer language in business application, such as business analytics, web analytics, data science, machine learning, business statistics, econometrics, and database systems.
Dissertation: “Essays on Emerging Risk-Reduction Strategies in Online Marketplaces for Professional Services”
Advisor: Jan Stallaert, Xinxin Li, Jing Peng
Thesis: “An Empirical Study on the Factors of Mobile Online Game Players’ Continuance Participating Based on Extended ECM-ISC”
Advisor: Liqing Wang
Thesis: “An Empirical Study on the Affecting Factors of College Students’ Self-disclosure on Social Network Sites” (Outstanding Bachelor Thesis Award)
Advisor: Ming Ren
This paper develops and studies two different types of reciprocity: ex post and ex ante reciprocity and how they affect users’ knowledge contribution.
This paper puts forward a novel approach to deal with unstructured data under social media context.
This paper adopts generative adversarial networks to perform face prediction.
This paper studies a novel form of eWOM, online diaries.
This paper studies a risk-reduction strategy and its spillover effects.
90%
80%
85%
95%
85%