Prof. Dongwook SHIN
Assistant Professor, Operations Management dwshin@ust.hk

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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

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ACADEMIC AND PROFESSIONAL EXPERIENCEAssistant Professor of ISOM, Hong Kong University of Science and Technology, 2017 - present
COMPLETED ARTICLESShin, D., and Kadiyala, B., “Social Learning and Polarization on Content Platforms,” Submitted. Manuscript available in SSRN.
Shin, D., Ahn, D., andZeevi, 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.,andZeevi, 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.
WORKING PAPERSPark, 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. andShin, D., “A Golf Putting Model for Optimal Targeting Strategies and Attribution Analysis”

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SELECTED PUBLICATIONS 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

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PROFESSIONAL ACTIVITIESReviewers for Management Science, Operations Research, Manufacturing and Service Operations Management, Naval Research Logistics, Asia-Pacific Journal of Operations Research
Member of INFORMSand MSOMSociety

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RESEARCH INTERESTS 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

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HONORSGRF 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