Jing Tian
Assistant Professor of Information Systems
Prior to joining the Smeal College of Business, Jing Tian worked as a postdoctoral research fellow at the J. Mack Robinson College of Business, Georgia State University. She received her Ph.D. in Management of Information Systems from Fudan University. Her research interests lie at the intersection of organizational, behavioral and technical aspects of digital technologies, with a current focus on AI-augmented systems, digital platforms, and Web3. Her publications have appeared in premier business journals, such as MIS Quarterly and Journal of Management Information Systems.
Expertise
AI Fairness, AI Innovation, Explainable AI, Digital Platforms, Decentralized Autonomous Organization (DAO), IT Governance
Education
PhD in Information Management and Information Systems, Fudan University, School of Management, Shanghai, China, 2019-10-01 B.A. in Management Information Systems, Tianjin University, 2014-01-01 B.Sc. in Finance, Nankai University, 2014-01-01
Courses Taught
MIS 301 – Business Analytics
Application of computer-based information systems to support management decision making; basic systems design, data organization, and data processing. A student cannot receive credit toward graduation for both M IS 100 or 100W and M I S 301.
Selected Publications
Tian J., Zhao X., Xue L. "Platform Compatibility And Developer Multihoming: A Trade-Off Perspective" MIS Quarterly, vol. 46, 2022-09-01
Gu J., Tian J., Xu Y. "Private or not? The categorical differences in mobile users’ privacy decision-making" Electronic Commerce Research and Applications, vol. 52, 2022-03-01
Zhao X., Tian J., Xue L. "Herding and Software Adoption: A Re-Examination Based on Post-Adoption Software Discontinuance" Journal of Management Information Systems, vol. 37, 2020-01-16
Tian J., Zhang Y., Zhang C. "Predicting Consumer Variety-seeking Through Weather Data Analytics" Electronic Commerce Research and Applications, vol. 28, 2018-02-07
Rai A., Tian J., Xue L. "FAIR: A Design Theory for AI Fairness" MIS Quarterly, vol. forthcoming 2026