Jinghui (Jove) Hou
Jinghui (Jove) Hou is an Assistant Professor of Information Systems in the Department of Decision and Information Sciences in the Bauer College of Business, University of Houston.
The driving force behind Jove's keen interests in information systems is a commitment to finding (theory-driven) ways to develop technologies that promote self-beneficial and pro-social behaviors. Her current research pertains to artificial intelligence (algorithms and applications), IT-mediated markets (e-commerce, IT-powered retailing, service robots), and theory building that incorporates machine-learning in the contexts of online consumer reviews, health informatics, and fake news.
Primarily as an experimentalist, Jove uses a variety of methodologies in her research, including laboratory and field experiment, natural or quasi experiment, econometrics, text-mining, survey and content analysis, social network analysis, and interview and focus groups. Her work advocates and entails multi-methods/studies and triangulation to provide more robust and valid findings.
As co-Principle Investigator, Jove has been funded by the National Science Foundation (NSF) 2016-19. She received the 2022 Wayne and Kathryn E. Payne Award for Excellence in Teaching from the Bauer College of Business, University of Houston. She received the 2021 Ostrofsky Research Award in Outstanding MIS Research. Jove was also a 2021 and a 2022 Bauer Research Star. Before joining the UH, Jove was an Assistant Professor at the Florida State University, where she received the 2018 Outstanding Faculty Research Recognition Award.
- IT-Mediated Markets
- Artificial Intelligence
- Health Informatics and Interventions
- Theory Construction
- Hou, J., & Ma, X. (2022). Space Norms for Constructing Quality Reviews on Online Consumer Review Sites. Information Systems Research, 33(3), 1093-1112. https://doi.org/10.1287/isre.2022.1102.
- Ma, X., Kuem, J., Hou, J., Khansa, L., & Zhu, Z. (2021). Are All Contributions Equal? Investigating the Role of Community Participation in Crowdwork. Decision Sciences, 52(6), 1282-1325.
- Dong, L., Huang, L., Hou, J., & Liu, Y. (2020). Continuous Content Contribution in Virtual Community: The Role of Status-standing on Motivational Mechanisms. Decision Support Systems, 132(2020), 1132283.
- Hou, J., Kim, K., Kim, S., & Ma, X. (2019). Disrupting Unwanted Habits in Online Gambling through Information Technology. Journal of Management Information Systems, 36(4), 1213-1247.
Hou, J. (2017). Can Interface Cues Nudge Modeling of Food Consumption? Experiments on a Food-ordering Website. Journal of Computer-Mediated Communication, 22(4), 196-214.
Hou, J., & Park, M. (2019). Dissemination of Information on Stigmatized Health Issues on Social Media. In J. Bian, Y. Guo, Z. He., & X. Hu, (Eds.), Social Web and Health Research: Benefits, Limitations, and Best Practices (pp. 123-38). New York: Springer.
- Artificial Intelligence in In-Store Retail. Under review
- Punished for Success? A Natural Experiment on Clinical Hospital Quality Measures. Under review
- Virtual Reality Enabled Online and Offline Integration: Field Experiments in Fashion Retail. Under review
- Impact of Information Disclosure on Restaurant Demand. Under review
Academic Associations & Editorial Boards
Decision Sciences Journal (Editorial Review Board)
Ph.D., Communication, University of Southern California
B.S., Statistics, School of Management, Fudan University, China