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Jiannan Xu

University of Maryland - Robert H. Smith School of Business

7621 Mowatt Ln

College Park, MD 20742-1815

United States

  • University of Maryland - Robert H. Smith School of Business

SCHOLARLY PAPERS

4

DOWNLOADS

1,770

TOTAL CITATIONS

1

Ideas:
“  Marketplace analytics, service operations, and AI for social good  ”

  • University of Maryland - Robert H. Smith School of Business

Scholarly Papers (4)

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1.

AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights

Number of pages: 46 Posted: 29 Aug 2025 Last Revised: 05 Jun 2026
Jiannan Xu, Gujie Li and Jane Yi Jiang
University of Maryland - Robert H. Smith School of Business, National University of Singapore (NUS) - School of Computing and Ohio State University (OSU) - Department of Management Sciences
Downloads 1,199 (61,620)

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generative AI, algorithmic hiring, self-preference, future of work, AI fairness, empirical study

2.

Personalized Assortment Optimization for a Subscription Business Model of Experience Goods

Georgia Tech Scheller College of Business Research Paper No. 5159539
Number of pages: 48 Posted: 28 Feb 2025 Last Revised: 28 Apr 2026
Jiannan Xu, Gah‐Yi Ban, Wedad J. Elmaghraby and L. Beril Toktay
University of Maryland - Robert H. Smith School of Business, Imperial College Business School, - Robert H. Smith School of Business and Georgia Institute of Technology - Sustainability
Downloads 414 (182,532)

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assortment optimization, subscription business model, experience goods, survival analysis

3.

Escaping the Nash Trap: Structural Estimation and Alignment of Strategic Reasoning in Large Language Models

Number of pages: 33 Posted: 17 Jul 2026
Jiannan Xu, Yongkang Duan, Jane Yi Jiang and Jiding Zhang
University of Maryland - Robert H. Smith School of Business, Beijing Normal University, Ohio State University (OSU) - Department of Management Sciences and Arizona State University (ASU) - Department of Information Systems
Downloads 80

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Nash Equilibrium, Level-K Reasoning, Large Language Models, Structural Estimation, Human-AI Alignment, Behavioral Modeling

4.

How May U.S. Courts Scrutinize Their Recidivism Risk Assessment Tools? Contextualizing AI Fairness Criteria on a Judicial Scrutiny-based Framework

Number of pages: 44 Posted: 07 May 2025 Last Revised: 02 Jun 2026
Tin Nguyen, Jiannan Xu, Phuong-Anh Nguyen-Le, Jonathan Lazar, Donald Braman, Hal Daumé III and Zubin Jelveh
University of Maryland, College Park, University of Maryland - Robert H. Smith School of Business, University of Maryland, College Park, University of Maryland, College Park, George Washington University - Law School, University of Maryland, College Park and University of Maryland, College Park
Downloads 77 (852,604)
Citation 1

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AI, Law-informed fairness, Recidivism risk assessment, Legal research