겸무교수

Technology Management, Economics and Policy Program
김송희 부교수 | 경영전문대학원 경영학과 사진
김송희 부교수 | 경영전문대학원 경영학과
Song-hee Kim

연구분야

  • 생산서비스운영

학력

  • Ph.D. in Operations Research, Columbia University, New York, NY, USA, 2014
  • M.S. in Operations Research, Columbia University, New York, NY, USA, 2009
  • B.S. in Operations Research and Industrial Engineering, magna cum laude, Cornell University, Ithaca, NY, USA, 2008

경력

  • Associate Professor of Operations Management, 2021–present, SNU Business School, Seoul National University, Seoul, South Korea
  • CS Wind Associate Professor (CS Wind 주니어 석학교수), 2023–2026, SNU Business School, Seoul National University, Seoul, South Korea
  • Assistant Professor of Data Sciences and Operations, 2015–2021, Marshall School of Business, University of Southern California, Los Angeles, CA, USA
  • Postdoctoral Associate in Operations Management, 2014–2015, Yale School of Management, New Haven, CT, USA

주요 논문

  1. Revisiting the Cause of Algorithm Aversion: Algorithm Feedback Asymmetry in the Field and Lab with Wilson Lin and Jordan Tong, Management Science, to appear.
  2. Shared Decision-Making under Bounded Rationality: Why Personalization Doesn’t Always Help with Feray Tuncalp, Rouba Ibrahim, and Jordan Tong, Manufacturing & Service Operations Management, to appear.
  3. Outpatient Visit Intervals in Chronic Kidney Disease: Adherence to KDIGO Recommendations and Determinants of Variation with Somi Kim, Ga Young Heo, Cheol Ho Park, Jung Tak Park, Seung Hyeok Han, Tae-Hyun Yoo, Shin-Wook Kang, and Hyung Woo Kim, Kidney Research and Clinical Practice, 2026.
  4. Beyond Annual Averages: Rethinking Metrics for Emergency Department Crowding and Capacity Planning with JeongWook Lim, Jisun Lee, Taehui Kim, Hyo Jin Kim, Mi Gyeong Yoo, Chun Song Youn, and Yun-Suk Pak, The Journal of Emergency Medicine, 2025.
  5. Simulating the Effects of Reducing Transfer Latency from the Intensive Care Unit on Intensive Care Unit Bed Utilization in a Korean Tertiary Hospital with Jaeyoung Choi, Ryoung-Eun Ko, Gee Young Suh, Jeong Hoon Yang, Chi-Min Park, Joongbum Cho, and Chi Ryang Chung, Acute and Critical Care, 2025.
  6. Impact of Capacity Strain on the Health Status of Patients Discharged From an Intensive Care Unit with Edieal Pinker and Joan Rimar, Production and Operations Management, 2025.
  7. A Trial of a Chat Service for Patients and Their Family Members in an Emergency Department with Sejin Heo, Se Uk Lee, Sung Yeon Hwang, Hee Yoon, Tae Gun Shin, Hansol Chang, Taerim Kim, and Won Chul Cha, BMC Health Services Research, 2024.
  8. Identifying the Bottleneck Unit: Impact of Congestion Spillover in Hospital Inpatient Unit Network with Fanyin Zheng and Joan Brown, Management Science, 2024.
  9. Finalist: 2022 INFORMS Pierskalla Best Paper Award
  10. Admission Control Bias and Path-Dependent Feedback Under Diagnosis Uncertainty with Jordan Tong, Manufacturing & Service Operations Management, 2024.
  11. Learning in Temporary Teams: The Varying Effects of Partner Exposure by Team Member Role with Hummy Song and Melissa Valentine, Organization Science, 2023.
  12. How Digital Transformation Can Improve Hospitals' Operational Decisions with Hummy Song, Harvard Business Review Digital Articles, 2022.
  13. Eliciting Human Judgment for Prediction Algorithms with Rouba Ibrahim and Jordan Tong, Management Science, 2021.
  14. Maximizing Intervention Effectiveness with Vishal Gupta, Brian Rongqing Han, and Hyung Paek, Management Science, 2020.
  15. Finalist: 2018 POMS College of Healthcare Operations Management Best Paper Competition
  16. Finalist: 2018 INFORMS Pierskalla Best Paper Award
  17. Admission Control Biases in Hospital Unit Capacity Management: How Occupancy Information Hurdles and Decision Noise Impact Utilization with Jordan Tong and Carol Peden, Management Science, 2020.
  18. Should Hospitals Keep Their Patients Longer? The Role of Inpatient Care in Reducing Post-Discharge Mortality with Ann Bartel and Carri W. Chan, Management Science, 2020.
  19. Is Expert Input Valuable? The Case of Predicting Surgery Duration with Rouba Ibrahim, Seoul Journal of Business, 2019.
  20. A Data-Driven Model of an Appointment-Generated Arrival Process at an Outpatient Clinic with Ward Whitt and Won Chul Cha, INFORMS Journal on Computing, 2018.
  21. Association Among ICU Congestion, ICU Admission Decision, and Patient Outcomes with Carri W. Chan, Marcelo Olivares, and Gabriel Escobar, Critical Care Medicine, 2016.
  22. Feature article. Editorial: Using ICU Congestion as a Natural Experiment
  23. The Power of Alternative Kolmogorov-Smirnov Tests Based on Transformations of Data with Ward Whitt, ACM Transactions on Modeling and Computer Simulation (TOMACS), special issue honoring Professor Donald L. Iglehart, 2015.
  24. Poisson and Non-Poisson Properties in Appointment-Generated Arrival Processes: The Case of an Endocrinology Clinic with Ponni Vel, Ward Whitt, and Won Chul Cha, Operations Research Letters, 2015.
  25. ICU Admission Control: An Empirical Study of Capacity Allocation and Its Implication for Patient Outcomes with Carri W. Chan, Marcelo Olivares and Gabriel Escobar, Management Science, 2015.
  26. First Prize: 2013 MSOM Student Paper Competition
  27. Finalist: 2013 INFORMS Health Applications Society Student Paper Competition
  28. Finalist: 2013 INFORMS Pierskalla Best Paper Award
  29. Winner: 2018 Best OM Paper in Management Science Award
  30. Are Call Center and Hospital Arrivals Well Modeled by Nonhomogeneous Poisson Processes? with Ward Whitt, Manufacturing & Service Operations Management, 2014.
  31. Finalist: 2016 M&SOM Best Paper Award
  32. Finalist: 2017 M&SOM Best Paper Award
  33. Choosing Arrival Process Models for Service Systems: Tests of a Nonhomogeneous Poisson Process with Ward Whitt, Naval Research Logistics, 2014.
  34. Estimating Waiting Times with the Time-Varying Little’s Law with Ward Whitt, Probability in the Engineering and Informational Sciences, 2013.
  35. Statistical Analysis with Little’s Law with Ward Whitt, Operations Research, 2013.


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