Korea University Business School
Hyun Seok ("Huck") Lee 이현석
KUBS Research Fellow · Associate Professor, LSOM & Business Analytics · Area Chair, LSOM
Turning real-world data into better operating decisions. I use operational data, field experiments, and causal inference to understand what works—and to identify actionable improvements in healthcare and pharmaceutical supply chains, retail and services, platforms, and AI-enabled work.

Recent Updates
Research, student achievements, and recognition
- Saeyoung Yoon selected for 2026 doctoral student research funding from the National Research Foundation of Korea (박사과정생연구장려금지원사업).
- Best Paper Award, Korea Corporation Management Association.
- KUBS Teaching Award (Global MBA Operations Management), Korea University.
Research Areas
Research grounded in real operating problems
Healthcare & Pharmaceutical Supply Chains
Disruption recovery, resilience, capacity design, drug shortages, operational transparency, and equitable access.
Retail & Service Operations
Store labor, incentives, customer congestion, fitting-room traffic, product variety, and service productivity.
Platforms & Digital Operations
E-commerce fulfillment, platform-provided logistics, technology-enabled services, kiosks, and digital customer responses.
Empirical OM & Causal Inference
Field experiments, difference-in-differences, instrumental variables, matching designs, and quasi-experimental methods.
Featured Research
Selected research and its operational implications
Management Science, Articles in Advance · 2026
Drug Shortage Recovery
Each additional shortage previously resolved by a plant reduces recovery time for a current shortage. Learning is concentrated in internally caused shortages, benefits from broader experience, and transfers only weakly across plants within the same firm.
Management Science, 67(4): 2326-2339 · 2021
Drug Shortage Transparency
Mandatory interruption reporting alleviates shortages, but its effectiveness depends on product-market competition: the effect is strongest under duopoly, weaker under monopoly, and declines as competition intensifies.
Manufacturing & Service Operations Management, 23(6): 1580-1596 · 2021
Fitting-Room Traffic
Fitting-room traffic and sales have an inverted-U relationship. High traffic increases phantom stockouts, and dedicated fitting-room associates reduce phantom stockouts and increase sales by approximately 22.4%-22.7%.
Research Group & Opportunities
Students working on consequential operations questions
Current student projects examine retail technology, healthcare delivery, and supply-chain resilience using operational data, field knowledge, and empirical methods.
Retail Operations
Saeyoung Yoon 윤세영
Fitting-room product trials and sales
Uses RFID fitting-room try-on logs and SKU-level sales data to examine how product trials translate into purchases and demand spillovers across variants of the same style.
Healthcare Operations
Sang Yong Park 박상용
Operating-room scheduling
Uses a decade of operating-room records from a South Korean tertiary hospital to examine how schedule deviations change pacing during anesthesia and surgery and relate to reoperations and postoperative complications.
Supply Chain Management & Resilience
Jongcheol Won 원종철
Supply-base de-scaling and resilience
Uses Korean VAT-based firm-to-firm transaction and financial data to examine how persistent pre-COVID supplier-base de-scaling relates to firms’ inventory responses and financial outcomes during the pandemic.
Healthcare Operations
Claire Shin 신재아
Physician learning in emergency departments
Uses Hong Kong emergency-department visit data to examine whether physicians reduce service times as experience accumulates and how learning transfers across patient triage levels.
Student Achievement · 2026
Saeyoung Yoon: Selected for 2026 NRF doctoral student research funding
The 24-month project uses RFID fitting-room try-on logs to study conversion to SKU-level sales and demand spillovers within the same apparel style.
Work with Organizations · 기업 협력
운영 질문을 검증 가능한 의사결정으로 바꿉니다
기업의 판매·재고·고객·물류·노동·서비스 데이터를 바탕으로 문제를 정의하고, 현장실험·인과추론·머신러닝을 결합해 실행 가능한 개선안을 도출합니다.
기업 강연·임원 워크숍
운영관리, 공급망 회복탄력성, AI 기반 업무설계, 인과추론을 최신 연구와 기업 사례를 바탕으로 임원·실무자의 의사결정 언어로 풀어냅니다.
운영관리 자문·공동연구
기업의 운영 질문을 명확히 정의하고 데이터 가용성을 점검한 뒤, 현장실험·준실험·인과추론을 활용한 분석과 효과평가를 함께 설계합니다.
데이터 기반 산학 프로젝트
기업 현안을 고려대 MSBA 캡스톤 또는 연구 프로젝트와 연결해 수요예측, 추천, 고객·운영 분석, 효과평가 과제를 수행합니다.
주요 협력 주제: 수요·재고·추천, 현장실험과 효과평가, 공급망 회복탄력성, AI 기반 업무설계
Media & Impact
Research beyond academic journals
위기 겪은 후 복기·학습하는 조직 다음 위기 때 회복 시간 빨라진다
Dong-A Business Review
DBR Journal Watch article on learning in recovery from disruption and the operational implications of drug-shortage recovery experience.
Korean media coverage of Management Science article on drug-shortage recovery
Korean media coverage of the online publication and implications of the Management Science article on learning in recovery from U.S. drug shortages.
Related research Learning in Recovery from Disruption
[탁류세평] 신뢰 없는 사회, 불신의 비용
Korea University Newspaper
Column.
Academic Profile
Recognition, service, and teaching
Recognition
Recent awards and recognition
- KUBS Research Fellow, Korea University Business School
- Best Paper Award, Korea Corporation Management Association
- M&SOM 2025 Meritorious Service Award, INFORMS
Editorial Service
Academic and professional service
- Journal of Operations Management (2023-present)
- Decision Sciences (2023-present)
- Korean Production and Operations Management Society: Director and Editorial Board Member
Teaching
Research training and analytics education
- PhD & Research MS
Empirical Research in OM, Special Topics in OM, and Service Operations Management. - MS in Business Analytics
Operations Analytics I/II and Empirical Approach for BA I/II. - MBA
Operations Management for Korea MBA and Global MBA audiences. - Undergraduate
Operations Management, Service Operations Management, Business Statistics, and Business Analytics.
Contact
Choose the right path
Prospective students can review current projects and research opportunities, organizations can use the collaboration inquiry, and academic inquiries are welcome by email.
Hyun Seok ("Huck") Lee 이현석
KUBS Research Fellow; Associate Professor of Logistics, Service and Operations Management and Business Analytics; Area Chair of Logistics, Service and Operations Management
Korea University Business School
- hyunseoklee@korea.ac.kr
- Phone
- +82-2-3290-1915
- Office
- LG-POSCO 604
- Address
- LG-POSCO 604, 145 Anam-ro, Seoul, Korea 02841
서울특별시 성북구 안암로 145, 고려대학교 경영대학 엘지 포스코관 604호 - Profile links
- CVOfficial KUBS ProfileLinkedInGoogle ScholarORCID