Jane Yi Jiang

I am an Assistant Professor of Operations and Business Analytics at the Max M. Fisher College of Business, The Ohio State University. My research centers on marketplaces and the dissemination of information within them. Currently, I focus on the role of generative artificial intelligence on platforms, examining how it shapes information flow and influences decision-making. I use causal inference, structural modeling, and machine learning to address emerging business challenges and generate actionable insights for firms.

I received my Ph.D. degree in Operations Management & Management Science from the Robert H. Smith School of Business, University of Maryland. You may find my CV here.

Research

1. “An Empirical Study of Blockchain-Driven Transparency in a Consumer Marketplace,” [SSRN], with Ken Moon and Wedad Elmaghraby.
   • Finalist, 2023 TIMES Best Working Paper Competition
   • Presented at MSOM SIG 2025, RMP 2025, Wharton Empirical OM Workshop 2023, INFORMS 2023, POM 2023
2. “Impact of Price Strategy on Returns: A Price Transparency and Valuation Uncertainty Story,” [SSRN], with Wedad Elmaghraby and Ozge Sahin.
   • Presented at RMP 2024, INFORMS 2024, POM 2024
3. “AI-Infused Nudges for Supply Chain Decision Making,” with Jiannan Xu and Wedad Elmaghraby.
   • Supported by the Faculty-Student Research Award (FSRA, $15,000) from the Graduate School of University of Maryland
4. “AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights,” [SSRN], with Jiannan Xu and Gujie Li.
   • Media coverage: [The New York Times], [The Register], [El Confidencial], [Business Insider]
   • Best Student Paper Runner-Up, Conference on Information Systems and Technology (CIST) 2025
   • Accepted at AI@Wharton 2025, AIES 2025, EAAMO’25, Fisher AI Conference 2025, AI in Business Conference 2025, Markets & Society Conference 2025
5. “When Incentives Shape Information: Strategic Disclosure in Judicial Auctions,” with Qiyao Zhou and Ginger Zhe Jin.
   • Accepted for presentation at the CCER Summer Institute 2026
6. “Escaping the Nash Trap: Structural Estimation and Alignment of Strategic Reasoning in Large Language Models,” COLM 2026, [SSRN], with Jiannan Xu, Yongkang Duan, and Jiding Zhang.
   • Media coverage: [The New York Times]
   • Accepted to the Third Conference on Language Modeling (COLM) 2026
   • Accepted for presentation at the AI and Economics (AIE) Summer Conference 2026
7. “Prompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injection Settings,” ACL 2026 Findings, [paper] [code], with Preet Baxi, Jiannan Xu,and Stefanus Jasin.
   • In Findings of the Association for Computational Linguistics (ACL) 2026

Teaching

• Instructor, Operations of Digital Platforms (MBA). Fisher College of Business, The Ohio State University.
• Instructor, Introduction to Operations Management (undergraduate core). Fisher College of Business, The Ohio State University.
• Instructor, Business Statistics (undergraduate core). Smith School of Business, University of Maryland.

Honors & Awards

• Allan N. Nash Outstanding Doctoral Student Award, UMD, 2024
• Finalist, 2023 TIMES Best Working Paper Competition, 2023