Hongfei Li

Assistant Professor

Chinese University of Hong Kong

Biography

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:

Business analytics in emerging online platforms
Applications of artificial intelligence and machine Learning
Statistical methodology

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.

Experience

Ph.D. in Business Administration

School of Business, University of Connecticut

Aug 2015 – Aug 2020 Storrs, CT, USA

Dissertation: “Essays on Emerging Risk-Reduction Strategies in Online Marketplaces for Professional Services”
Advisor: Jan Stallaert, Xinxin Li, Jing Peng

M.S. in Information Science

School of Information Resource Management, Renmin University of China

Sep 2013 – Jun 2015 Beijing, China

Thesis: “An Empirical Study on the Factors of Mobile Online Game Players’ Continuance Participating Based on Extended ECM-ISC”
Advisor: Liqing Wang

B.S. in Information Systems

School of Information Resource Management, Renmin University of China

Sep 2009 – Jun 2013 Beijing, China

Thesis: “An Empirical Study on the Affecting Factors of College Students’ Self-disclosure on Social Network Sites” (Outstanding Bachelor Thesis Award)
Advisor: Ming Ren

Publications

Hongfei Li, Ramesh Shankar, Jan Stallaert

January 2020 TMIS

Invested or Indebted: Ex ante and Ex post Reciprocity in Online Knowledge Sharing Communities

This paper develops and studies two different types of reciprocity: ex post and ex ante reciprocity and how they affect users’ knowledge contribution.

Projects

Analyzing the Online Word of Mouth Dynamics: A Novel Approach

This paper puts forward a novel approach to deal with unstructured data under social media context.

Face Prediction for Cosmetic Surgeries

This paper adopts generative adversarial networks to perform face prediction.

Online Diaries and Professional Service

This paper studies a novel form of eWOM, online diaries.

When More is Less: The Effect of Add-on Insurance on the Consumption of Professional Services

This paper studies a risk-reduction strategy and its spillover effects.

Presentations

Online Diaries and Professional Service

Online diaries, series of posts generated by consumers in chronological order to record their post-consumption experience over time, …

Jun 11, 2019 4:00 PM Cheng Yu Tung Building, The Chinese University of Hong Kong

Hongfei Li, Jing Peng, Gang Wang, Xue Bai

The Impact of Ex post Risk-Reduction Mechanism on Online Sales: Evidence from Complications Insurance for Cosmetic Surgeries

The perceived risk of professional services (e.g., education and surgeries) is typically much higher than that of commodity goods, due …

Jun 11, 2019 4:00 PM Cheng Yu Tung Building, The Chinese University of Hong Kong

Hongfei Li, Jing Peng, Xinxin Li, Jan Stallaert

See all talks

Teaching

Workshop in Neural Networks

School of Business, University of Connecticut Nov 2019

The main contents of this workshop include the basic knowledge of neural networks such as model representation, cost function, back-propagation, convolutional neural networks, and generative adversarial networks.

Business Information Systems (OPIM 3103)

School of Business, University of Connecticut Aug 2018 – Dec 2018

The main contents of this course include: 1) the introduction to Microsoft Excel and the design of spreadsheets to enable efficient decision making in business situations, through hands-on learning activities; 2) The introduction to basic knowledge of databases, the design of databases, and database tools such as Microsoft Access to enable efficient data management and reporting in business situations, again through hands-on learning activities.