معرفی
Jinghui Hou is an Assistant Professor of Information Systems in the Department of Decision and Information Sciences at the Bauer College of Business, University of Houston. Her research bridges artificial intelligence, consumer behavior, and health informatics, with a strong emphasis on theory-driven technological design that fosters self-beneficial and pro-social behaviors.
Education:
- Ph.D. in Communication, University of Southern California (ICT focus)
- B.S. in Statistics, Fudan University, School of Management
Her research interests include Artificial Intelligence, IT-Mediated Markets, Health Informatics, and Theory Construction. She employs a multi-method approach, integrating laboratory and field experiments, econometrics, text mining, machine learning, and qualitative methods to ensure robust findings. Her work frequently appears in top journals such as MIS Quarterly and Information Systems Research.
The recent publications reflect a strong trend in understanding human-AI interaction, particularly in consumer decision-making, creative processes, and ethical implications of information disclosure. Themes include autonomy in AI-assisted decisions, unintended consequences of transparency, and the role of social norms in digital platforms.
Scientific Awards:
- 2022 Wayne and Kathryn E. Payne Award for Excellence in Teaching
- 2021 Ostrofsky Research Award in Outstanding MIS Research
- Bauer Research Star (2021, 2022, 2024)
- 2018 Outstanding Faculty Research Recognition Award, Florida State University
As a co-Principal Investigator, she has received funding from the National Science Foundation (2016–2019). She has advised multiple research projects and mentored students in information systems research. Her editorial service includes roles as Associate Editor for ICIS 2025 and PACIS 2025, and membership on the Editorial Review Board of Decision Sciences. While no formal lab is mentioned, her research group engages in experimental and data-driven studies on digital platforms and AI behavior.
