Prof. Dongwook SHIN

Prof. Dongwook SHIN

Assistant Professor, Operations Management

Academic qualification

  • PhD 2017 Columbia University, Decision, Risk, and Operations
  • M.Sc. 2012 Columbia University, Operations Research
  • B.Sc. 2010 Korea Advanced Institute of Science and Technology (KAIST), Industrial and Systems Engineering


  • Assistant Professor of ISOM, Hong Kong University of Science and Technology, 2017 - present



  • Shin, D., and Kadiyala, B., “Social Learning and Polarization on Content Platforms,” Submitted. Manuscript available in SSRN.
  • Shin, D., Ahn, D., and Zeevi, A., “Online Ordinal Optimization under Model Misspecification,” Submitted. Manuscript available in SSRN.
  • Maglaras, C., Scarsini, M., Shin, D., and Vaccari, S., “Social Learning from Online Reviews with Product Choice,” Major revision in Operations Research.
  • Shin, D., and Zeevi, A., “Product Quality and Information Sharing in the Presence of Reviews,” Major revision in Management Science. Manuscript available in SSRN.
  • Shin, D., Vaccari, S., and Zeevi, A., “Dynamic Pricing with Online Reviews,” Minor revision in Management Science. Manuscript available in SSRN.



  • Park, J. and Shin, D., “Omnichannel Pricing Strategies under Product Value Uncertainty”
  • Shin, D., Chen, Y-J, and Chen, H., "Optimal Budget Allocation for Ad Campaigns in the Presence of Spillover and Carryover Effects"
  • Broadie, M. and Shin, D., “A Golf Putting Model for Optimal Targeting Strategies and Attribution Analysis”


  • Shin, D., Broadie, M., and Zeevi, A., “Tractable Sampling Strategies for Ordinal Optimization”, Operations Research (2018), 66(6), 1693-1712.
  • Shin, D., Broadie, M., and Zeevi, A., "Practical Nonparametric Sampling Strategies for Quantile-based Ordinal Optimization,” Forthcoming in INFORMS Journal on Computing.
  • Shin, D. and Ahn, D., "Ordinal Optimization with Generalized Linear Models,” Proceedings of 2020 Winter Simulation Conference


  • Reviewers for Management Science, Operations Research, Manufacturing and Service Operations Management, Naval Research Logistics, Asia-Pacific Journal of Operations Research
  • Member of INFORMS and MSOM Society


  • Dynamic pricing and revenue management in e-commerce
  • Omnichannel retailing
  • Machine learning and sequential decision making in operations research context
  • Business and Sports analytics
  • Supply chain management


  • GRF Research Grant (PI), Hong Kong RGC (2021-2024), “Optimal Design of Sequential Experiments for Personalized Decision Making.” HKD 769,393
  • GRF Research Grant (PI), Hong Kong RGC (2021-2023), “Optimal Information Provision in Digital Content Markets.” HKD 564,520
  • ECS Research Grant (PI), Hong Kong RGC (2019-2021), “Optimal Budget Allocation for Online Ad Campaigns with Spillover and Carryover Effects.” HKD 567,200
  • Initiation Grant (PI), HKUST Internal Research Support Schemes (2017-2020), “Supply Contracts in Online Markets: Retailer Information Sharing and Manufacturer Quality Decisions.” HKD 100,000
  • Jerome A. Chazen Institute for Global Business Doctoral Grants
  • Paul and Sandra Montrone Doctoral Fellowship
  • Doctoral Fellowship, Columbia Business School
  • Best Bachelor Dissertation Award, KAIST