신정우 교수 연구실
Jungwoo Shin
경희대학교 · 산업공학과
교수 소개
신정우 교수
교수 홈페이지·논문소개
신정우 교수 연구실(Technology Management Lab)은 경희대 산업공학과 소속으로, 기술경영·기술경제를 연구한다. 신제품·신기술의 수요예측과 경제성 평가를 통해 기업의 신제품 개발 전략과 정부의 사회후생 극대화 정책을 제시하며, IT·에너지·환경 산업의 시장 분석에 공학과 통계, 경영·경제 방법론을 융합한다.
연구 키워드
최근 논문
OpenAlex 기준 · 저자 소속이 이 대학으로 확인된 논문이에요
대표 논문
- How Much Potential Do On-Device Systems Hold in the Large Language Model Service Market? Focusing on Providing Sustainable Business ModelsTelematics and Informatics · 2026
- Conjoint analysis of key determinants of consumer purchase intentions for profile picture non-fungible tokensHumanities and Social Sciences Communications · 2026
- Understanding consumer preferences for Urban air mobility: A choice-based conjoint analysis approach with the case of South KoreaTravel Behaviour and Society · 2026
- From Icons to Identity: Understanding graphicons as tools for self-representationComputers in Human Behavior · 2025
- From resistance to resilience: Public acceptance and its impact on low-carbon energy strategies in South KoreaInternational Journal of Hydrogen Energy · 2025
- Understanding user preferences in developing a mental healthcare AI chatbot: A conjoint analysis approachInternational Journal of Human-Computer Interaction · 2025
같은 학과의 다른 연구실
- 정호영 교수 연구실모집 중
Intelligent optimization / operations research (vehicle routing, urban logistics, metaheuristics, process parameter optimization)
- 김영훈 교수 연구실
AI agents, machine learning and operations research, digital twin systems, and trustworthy/applied AI for anomaly detection and healthcare analytics
- 반상우 교수 연구실
Human-Centered Design / Human Factors and Ergonomics (HCI, usability, ergonomics)
- 엄주명 교수 연구실
Smart manufacturing / Digital Twins, Generative AI, and Intelligent Robotics for Cyber-Physical Production Systems
- 오관석 교수 연구실
Product Engineering & Production Systems (product family/modular design, complexity management, production planning & scheduling, optimization)
- 전현우 교수 연구실
Intelligent simulation & analysis — manufacturing energy consumption modeling, machine learning/data analytics for production systems, and sustainability/ESG