Leeds School of Business

Research

Research interests

Current work centers on revenue management and pricing, approximate dynamic programming, and data-driven decision making.

Additional refereed journal articles

Earlier work spans service product design, network revenue management, dynamic pricing, inventory-pricing control, and strategic customer behavior.

Practitioner article

Selected working papers

  • Faheng Deng, Junyi Dong, Yanzhi Li, and Dan Zhang. 2025. Joint Dynamic Channel Management and Pricing.
  • Xiao Huang and Dan Zhang. 2025. Weather Guarantees for Experience Products.
  • Saied Samiedaluie, Dan Zhang, and Rui Zhang. 2024. Probabilistic Approximations for Network Revenue Management.
  • Jiannan Ke, Dan Zhang, and Huan Zheng. 2025. Compact Reformulations of Approximate Linear Programs for Finite-Horizon Markov Decision Processes.
  • Chengyi Lyu and Dan Zhang. 2025. Customer Reward Programs for Two-Sided Markets.
  • Xiao Huang, Gloria Urrea, and Dan Zhang. 2025. The Impact of Pricing on Cancellations in the Hotel Industry.
  • Yanzhe Lei, Rui Zhang, Zhongzhong Jiang, and Dan Zhang. 2025. Joint Dynamic Optimization of Pricing and Personalized Recommendations in Online Retailing.
  • Zlatana Nenova, Manuel Laguna, and Dan Zhang. 2021. Approximate Dynamic Programming for Medical Appointment Scheduling.
  • Dan Zhang. 2008. Pricing and Capacity Management for Multi-Class Stochastic Service Systems. Permanent working paper.