People and Research People

People Details

Prof. WANG Le

王樂教授

Assistant Professor

Address
6-279, Lau Ming Wai Academic Building, City University of Hong Kong
Phone
+852 34429228
Fax
+852 34420369

Research Areas

Healthcare IT
Artificial Intelligence
Digital Platforms

Qualifications

PhD - Information Systems (Nanyang Technological University)

Biography

Le Wang is an Assistant Professor in the Department of Information Systems at the City University of Hong Kong. He received his Ph.D. from Nanyang Business School, Nanyang Technological University, Singapore. His primary research interests include health informatics, the application of AI in business, and user behavior on digital platforms, with a particular focus on understanding individual behavior in the age of AI. His work has been accepted/published in leading academic journals such as MIS Quarterly, Manufacturing & Service Operations Management, Production and Operations Management, and Nature Communications, among others.

Teaching Areas

Python programming

Big data and data analytics

IT/IS strategy

Database

Selected Publications

Journal Publications and Reviews

Li, Shaobo (Kevin); Huang, Xun (Irene); Wang, Le; Jiang, Yuwei; Luo, Xin (Robert) / Exploring Online Help-Seeking Tendencies: The Influence of Experience Type and Helper Identity. July 2025; In: MIS Quarterly.

Luo, Xueming; Wang, Le; Wu, Qingsheng; Moriguchi, Takeshi / From Stopping to Shopping: A Field Experiment on Free Return and Free Shipping Retargeting Policies in Online Retail Operations. July 2025; In: Manufacturing & Service Operations Management. Vol. 27, No. 4, pp. 1224-1241

Li, Shaobo (Kevin); Wang, Le; Huang, Jianxiong; Gopal, Ram; Lin, Zhijie / Sizzle or Fizzle? Supply and Consumption Dynamics of Home-Cooked Food on Sharing Platform. January 2024; In: Production and Operations Management. Vol. 33, No. 1, pp. 11-31

Goh, Kim Huat; Wang, Le; Yeow, Adrian Yong Kwang; Poh, Hermione; Li, Ke; Yeow, Joannas Jie Lin; Tan, Gamaliel Yu Heng / Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare. January 2021; In: Nature Communications. Vol. 12