Zhang, Dongcheng（張東成）
Biography
Professor Zhang is an Assistant Professor at the Department of Decisions, Operations and Technology in the Chinese University of Hong Kong (CUHK) Business School. Prior to joining CUHK, he was a post-doctoral fellow at the Goizueta Business School of Emory University. He received his Ph.D. in Management Science and Engineering, BE in Engineering, and BA in Management from Tsinghua University. His research focuses on developing and applying machine learning algorithms, statistical methods, and analytical models to improve decision-making in digital marketing and management information systems. In particular, he is interested in developing interpretable and theory-driven machine learning/deep learning algorithms for substantive business problems (e.g., text mining, consumer choices, and causal inference).
Teaching Areas
AI in Business
Data Analytics
Machine Learning/Deep Learning
Probabilistic Graphical Models
Research Interests
Digital Marketing
Online Communities
Platform Strategy
Causal Inference
- Publications & Working Papers
- Dongcheng Zhang, Kunpeng Zhang, Yi Yang, and David Schweidel, “TM-OKC: An Unsupervised Topic Model for Text in Online Knowledge Communities,” Management Information Systems Quarterly, accepted.
- Dongcheng Zhang, Hanchen Jiang, Maoshan Qiang, Kunpeng Zhang, and Liangfei Qiu, “Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform,” Information Systems Research, accepted.
