Hong Zhang

Hong Zhang is an Assistant Professor of Management Information Systems at the University of Arizona. She earned her PhD in Information Systems from the University of Texas at Dallas in 2025. Hong specializes in the intersection of Fintech platforms and AI. Her research focuses on key issues in two-sided Fintech platforms, including platform growth and competing strategies, trading efficiency, and fusing domain knowledge with transaction data in AI models to enhance decision-making outcomes. She is also conducting ongoing research in the healthcare domain, examining systematic decision-making errors by physicians and issues related to opioid addiction among homeless people. In her research, she extensively develops and applies methodologies such as machine learning and deep learning (including GenAI approaches), combined with econometrics. Hong’s work is under advanced revision in Management Science and MIS Quarterly, and she has presented her research at various leading IS conferences. Her dissertation was recognized as a Best Dissertation Award finalist at WITS 2024, and her research has received multiple best paper runner-up or finalist awards at CIST, WITS, the Boston Platform Strategy Symposium, and WeB. In 2024, she was honored as the UT Dallas JSOM Ph.D. Student of the Year.

Courses

• MIS 331: Database Management Systems

Selected Working Papers:

• Hong Zhang, Hongchang Wang, Amit Mehra, and Zhiqiang (Eric) Zheng.  Chasing Market Growth and Matching Performance in Two-Sided Platforms: Evidence from the Lazy-Minting Policy in an NFT Marketplace (Under Minor Revision in Management Science).
• Hong Zhang, Zhiqiang (Eric) Zheng, and Amit Mehra. Extending the Digital Divide: The Role of Unequal Analytical Abilities (Under Major Revision in MIS Quarterly).

Awards and Honors

• WITS Best Dissertation Award Finalist, 2024
• Best Student Paper Runner-up: CIST, 2022
• Best Paper Runner-up: Boston Platform Strategy Symposium, 2023
• Best Paper Runner-up: ICIS WeB, 2024
• Best Paper Finalist: WITS 2022, CSWIM 2023, ICIS, 2023
• Ph.D. of The Year Winner, 2024
• ICIS and INFORMS ISS Doctoral Consortium, 2024
• Outstanding Teacher of the Year, 2023