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Youngsoo Kim

Assistant Professor, Supply Chain Management


Dr. Youngsoo Kim is an assistant professor of supply chain management at the Quinlan School of Business, Loyola University Chicago. His primary research interests lie in supply chain risk management, interface of finance and operations, and emerging technologies in service operations.
Prior to joining Loyola University Chicago, he worked at the University of Alabama as an assistant professor of operations management. He received Ph.D. in operations management from the University of Illinois Urbana Champaign, and obtained B.S. and M.S. degrees in mathematics from KAIST, South Korea.

Education

  • PhD, Operations Management, University of Illinois Urbana-Champaign
  • MS, Mathematics, KAIST
  • BS, Mathematics, KAIST

Research Interests

  • Supply chain risk management
  • Operational risk management
  • Interface of finance and operations
  • Emerging technologies in service operations

Professional/Community Affiliations

  • INFORMS, 2013-present
  • POMS, 2017-present

Courses Taught

  • SCMG232: Introduction to Supply Chain Management

Publications/Research Listings

Kim, Y., Xu, Y. (2024) "Operational Risk Management: Optimal Inspection Policy." Management Science 70(6):4087-4104, DOI: https://doi.org/10.1287/mnsc.2021.00322
Kim, Y., Kwon, H.D. (2024) "Investment in the Common Good: Free Rider Effect and the Stability of Mixed Strategy Equilibria." Operations Research 72(2):684-698, DOI: https://doi.org/10.1287/opre.2022.2371
Cho, N.R., Kim, Y., Murali, K. & Yavuz, M. (2023) "Drivers and Implications of Combined Investment in Renewables and Energy Storage in the Residential Sector." Decision Sciences, DOI: https://doi.org/10.1111/deci.12589
Georgiadis G., Kim, Y., Kwon, H.D. (2022) "The Absence of Attrition in a War of Attrition under Complete Information." Games and Economic Behavior 131:171-185, DOI: https://doi.org/10.1016/j.geb.2021.11.004
Agrawal, A., Kim, Y., Kwon, H.D., Muthulingam, S. (2016) "Investment in Shared Suppliers: Effect of Learning, Spillover, and Competition." Production and Operations Management 25:736-750, DOI: https://doi.org/10.1111/poms.12503

Awards

  • Finalist, INFORMS Service Science Best Cluster Paper Competition, INFORMS, 2023