My Research Interests
My research examines the economic and social impacts of emerging technologies and the design of effective market and platform mechanisms.
Dynamic Pricing
I study how pricing, inventory, and capacity-sharing decisions influence firm performance. My work develops structured insights that improve efficiency and guide decision-making in operational and digital markets.
Platform Design
I examine how platform policies—such as matching rules, loyalty tokens, and cancellation choices—shape incentives and behavior. My research identifies mechanisms that enhance efficiency, participation, and overall market outcomes.
Algorithmic Personalization
I analyze how algorithmic personalization and visibility allocation affect user experience and competition. My work highlights how digital platforms shape attention, welfare, and long-term dynamics across modern markets.
PUBLICATIONS
Selected Peer-Reviewed Publications
Showcasing key publications in top Operations Management and Analytics journals.
Published Papers
Xing Hu, René Caldentey, and Gustavo Vulcano (2013). Revenue Sharing in Airline Alliances. Management Science, 59, 1177–1195.
Second Place, AGIFORS Anna Valicek Paper Competition (2011).
Published Papers
Shanshan Hu, Xing Hu, and Qing Ye (2017). Optimal Rebate Strategies under Dynamic Pricing. Operations Research, 65(6), 1546–1561.
Published Papers
Xing Hu, Zhixi Wan, and Nagesh Murthy (2017). Dynamic Pricing of Limited Inventories with Product Returns. Manufacturing & Service Operations Management, 21(3), 501–518.
Published Papers
Xing Hu and René Caldentey (2023). Trust and Reciprocity in Firms’ Capacity Sharing. Manufacturing & Service Operations Management, 25(4), 1436–1450.
Published Papers
Min Xu, Wei Chi, Xing Hu, and Qing Ye (2024). Set a Goal for Yourself? A Model and Field Experiment with Gig Workers. Production & Operations Management, 33(1), 205–244.
Accepted Papers
Junming Hu, Xing Hu, Alex Yang, and Yi Yang (2026). Tokenizing Loyalty Programs: The Role of Tradability.
Accepted at Manufacturing & Service Operations Management.
Accepted Papers
Xing Hu, Zhixi Wan, Qichuan Yin (2026). Token Design for Favor Trading with Dynamic Membership.
Accepted at Management Science.
Accepted Paper
Xing Hu, Zhixi Wan, and Qin Zhou (2026). The Profitability Puzzle of On-Demand Carpooling: Pricing, Customer Beliefs and Network Effects.
Accepted at Management Science.
Working Paper
Monoculture and Social Welfare of the Algorithmic Personalization Market under Competition.
Major revision at Management Science.
Working Paper
Xing Hu (2025). Invisible Influence: Credibility under Self‑Preferencing on Recommendation Platforms.
Under review.
Working Paper
Wenqian Zhang, Xing Hu*, Haiyan Wang (2025). The Option Value of Flexibility: Auto-Ship versus On-Demand Competition under Input Price Shock.
Under review.
Working Paper
Erbao Cao, Taisheng Xie, Xing Hu, Ying-Ju Chen (2025). Information Design as a Supply Chain Capability in Times of Turbulence: Deterring Competitive Entry.
Working Paper
Wenqian Zhang, Wenyi Zhang, Xing Hu, Yichao Yuan (2025). Open or Closed: Charging Network Openness, Pricing, and Social Welfare. Under review.
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Working Paper
Xing Hu, Yifu Ai (2026), Breadth–Depth Trade-offs in Generative Search under Information Pollution: Competition and Compute Externalities. Under review.
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Working Paper
Bin Cao, Xin Chen, Xing Hu*, Menglong Li, Ebrahim Arian (2026), Monetizing Scarce Attention in Online Marketplaces: Decentralized Pricing, Assortment, and Endogenous Selling Fees. Under review.
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Working Paper
Jin Fang, Xing Hu, Zhenhua Long, Jiheng Zhang (2026), Dynamic Control of an Outsourcing Service System with Reentrant Customers. Under review.
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Welcome to My Academic Homepage!
PhD Students Under My Supervision
Meet the Doctoral Researchers I Supervise
Haokun Zhang
PhD Student
Innovation & Information Management, HKU Business School
Yifu Ai
PhD Student
Innovation & Information Management, HKU Business School
Lulu Chen
PhD Student (Co-supervised)
Innovation & Information Management, HKU Business School
Teaching Awards
Recognized for Excellence
in Teaching & Mentorship
In 2025, I received the Faculty Outstanding Teaching Award from HKU Business School, recognizing my commitment to teaching quality, instructional innovation, and student mentorship.
Teaching Cases
A selection of teaching cases developed in collaboration with the Asia Case Research Center.
Developed in collaboration with the Asia Case Research Center, this case explores Amazon’s last-mile logistics optimization, operational constraints, and data-driven delivery strategies.
Co-supervisors: Zhixi Wan & Angela Yin (2021)
This case examines HKTVmall’s supply chain evolution under rapid e-commerce expansion, highlighting multi-tier fulfillment, inventory coordination, and resilience-building.
Co-supervisors: Zhixi Wan & Angela Yin (2022)
Scholarly Editorial Roles
Editorial Services & Academic Contributions
As an Associate Editor for Decision Sciences and Associate Editor for Naval Research Logistics, I support the academic community by overseeing peer review, shaping editorial decisions, and advancing research in operations management and analytical modeling.
Research Updates
This section provides an ongoing summary of our team’s latest research progress, including newly published papers, working papers in development, conference presentations, invited talks, project milestones, and collaborative achievements.
Research News: Self-Set Goals Significantly Improve Gig-Worker Performance — New Field Experiment by Professor Xing Hu
Hong Kong, 2025 —Professor Xing Hu of the HKU Business School has released new research[…]