معرفی
Hailiang Chen serves as Professor in Innovation and Information Management, Assistant Dean (Taught Postgraduate), and Director of the Artificial Intelligence Research Institute at HKU Business School, The University of Hong Kong. His academic journey includes a PhD and MS from Purdue University and a BM from Tsinghua University.
- Doctoral Degree: Management Information Systems, Purdue University
- Master Degree: Economics, Purdue University
- Bachelor Degree: Information Management and Information Systems, Tsinghua University
Professor Chen's research spans artificial intelligence, FinTech, social media analytics, and platform economics, with significant contributions to understanding how digital interactions shape financial markets and consumer behavior. His work frequently examines the intersection of technology adoption and economic outcomes, particularly in cryptocurrency markets, live-stream commerce, and venture capital decision-making. His research methodology combines large-scale data analysis with experimental designs to uncover causal relationships in digital ecosystems.
His publications in elite journals like Journal of Financial Economics and Management Science demonstrate consistent impact, with multiple ESI Highly Cited Papers. Current projects include Gov-RAG for e-government services and comparative studies of AI search tools. His research has received continuous funding from Hong Kong's Research Grants Council for five consecutive years (2019-2023).
- Faculty Outstanding Researcher Award, HKU Business School (2022-23)
- INFORMS ISS Sandra A. Slaughter Early Career Award (2022)
- Association for Information Systems Early Career Award (2019)
- Three ESI Highly Cited Papers (Top 1% in field)
Professor Chen actively contributes to academic service as Associate Editor for Journal of Management Information Systems and MIS Quarterly, and serves as Program Chair for the International Conference on Smart Finance. His industry collaborations include Alibaba, HSBC, and China Construction Bank, bridging academic research with real-world business applications in AI implementation and digital transformation.
