이철용 (Lee, Chul-Yong) 사진
이철용 (Lee, Chul-Yong)
직위
조교수
전화번호
510-2568
이메일
cylee7@pusan.ac.kr
사무실
경영관(514)/B동 315호

[학력]

2002 - 2007 Ph.D in Technology Management, Economics and Policy Program (TEMEP), Seoul National University

1998 - 2002 B.Sc. in Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST)

 

[경력]

2018 - 2018   Visiting Scholar, Duke University, U.S.

2008 - 2018   Research Fellow, Korea Energy Economics Institute

2007 - 2008   Post-Doctoral Researcher, Georgia Institute of Technology, U.S.

 

[수업 관심분야]

 

Management of Technology, Project Management, Business Statistics, Methodology for Technology Market


[연구 관심분야]

1. Management of Technology

2. Sustainable Management

3. Demand Forecasting Using Bayesian Inference

4. Analysis of Consumer Preference

5. Discrete Choice Analysis

 

[학술활동 및 교외봉사활동]

1. 편집위원, 한국혁신학회, 2018.1.1 ~ 2019.12.31

2. 이사, 한국신재생에너지학회, 2016.8.3 ~ 현재


[학술지 발표]

Chul-Yong Lee, Jung-Woo Jang, Minkyu Lee (Oct. 1, 2020). Willingness to accept values for vehicle-to-grid service in South Korea. Transportation Research Part D: Transport and Environment, 87, 1-10. (SSCI, IF: 4.577).

- JongRoul Woo, Sungsam Chung, Chul-Yong Lee , and Sung-Yoon Huh (Sep. 1, 2019). Willingness to participate in community-based renewable energy projects: A contingent valuation study in South Korea. Renewable & Sustainable Energy Reviews, 112, 643-652 (SCI, IF: 12.110, JCR: 5.4%).

- Hyunsuk Byun, Jung-Woo Shin and Chul-Yong Lee* (Feb. 1, 2018). Using a discrete choice experiment to predict the penetration possibility of environmentally friendly vehicles. Energy, 144, 312-321 (SCI, IF: 4.520, JCR: 5.2%). 

- Gobong Choi, Sung-Yoon Huh, Eunnyeong Heo, and Chul-Yong Lee* (Feb. 1, 2018). Prices versus quantities: Comparing economic efficiency of feed-in tariff and renewable portfolio standard in promoting renewable electricity generation. Energy Policy, 113, 239-248 (SSCI, IF: 4.140, JCR: 14.4%). 

- Sung-Yoon Huh and Chul-Yong Lee* (August 1, 2017). A demand-side perspective on developing a future electricity generation mix: Identifying heterogeneity in social preferences. Energies, 10(8), 1-19 (SCIE, IF: 2.262, JCR: 48.9%). 

- Chul-Yong Lee, Seung-Hoon Yoo, and Minkyu Lee (June 1, 2017). Willingness to pay for replacing traditional energies with renewable energy in South Korea. Energy, 128, 284-290 (SCI, IF: 4.520, JCR: 5.2%). 

- Chul-Yong Lee and Sung-Yoon Huh (July 1, 2017). Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea. Applied Energy, 197, 29-39 (SCI, IF: 7.182, JCR: 3.0%). 

- Hyunsuk Byun and Chul-Yong Lee* (June 1, 2017). Analyzing Korean consumers’ latent preferences for electricity generation sources with a hierarchical Bayesian logit model in a discrete choice experiment. Energy Policy, 105, 294-302 (SSCI, IF: 4.140, JCR: 14.4%). 

- Chul-Yong Lee and Sung-Yoon Huh (March 1, 2017). Forecasting new and renewable energy supply through a bottom-up approach: The case of South Korea. Renewable and Sustainable Energy Reviews, 69, 207-217 (SCI, IF: 8.050, JCR: 5.4%). 

- Jung-Woo Shin, Chul-Yong Lee*, and Hongbum Kim (Nov. 1, 2016). Technology and Demand Forecasting for Carbon Capture and Storage Technology in South Korea. Energy Policy, 98, 1-11 (SSCI, IF: 4.140, JCR: 14.4%). 

- Chul-Yong Lee and Hyejin Heo (July 1, 2016). Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method. Energy Policy, 94, 150-156 (SSCI, IF: 4.140, JCR: 14.4%). 

- Sung-Yoon Huh and Chul-Yong Lee* (June 1, 2014). Diffusion of Renewable Energy Technologies in South Korea on Incorporating Their Competitive Interrelationships. Energy Policy, 69, 248-257 (SSCI, IF: 4.140, JCR: 14.4%). 

- Jongsu Lee, Chul-Yong Lee*, and Kichun Sky Lee (Sep. 30, 2012). Forecasting Demand for a Newly Introduced Product Using Reservation Price Data and Bayesian Updating. Technological Forecasting and Social Change, 79(7), 1280-1291 (SSCI, IF: 2.625, JCR: 7.3%). 

- Jongsu Lee, Chul-Yong Lee*, and Tai-Yoo Kim (Dec. 31, 2009). A Practical Approach for Beginning the Process of Technology Roadmapping. International Journal of Technology Management, 47(4), 306-321 (SSCI, IF: 1.036, JCR: 56.5%). 

- Chul-Yong Lee, Jung-Dong Lee, and Yeonbae Kim (Jan. 31, 2008). Demand Forecasting for New Technology with a Short History in a Competitive Environment: The Case of the Home Networking Market in South Korea. Technological Forecasting and Social Change, 75(1), 91-106 (SSCI, IF: 2.625, JCR: 7.3%). 

- Jongsu Lee, Youngsang Cho, Jung-Dong Lee, and Chul-Yong Lee (May 31, 2006). Forecasting the evolution of demand for the large sized television of next generation using conjoint and diffusion models. Technological Forecasting and Social Change, 73(4), 362-376 (SSCI, IF: 2.625, JCR: 7.3%). 

- 오승환, 이철용* (2014.9.30.) “국내 신재생에너지 R&D 사업의 경제적 성과 분석”, 에너지경제연구 제13, 2, pp.171-197. 

- 이민규, 이철용* (2012.12.15) “태양광·풍력 국가경쟁력 분석 : OECD국을 대상으로”, POSRI경영경제연구 제12, 3, pp.44-75. 

- 이철용 (2011.8.31) “베이지안 모형을 이용한 중장기 국제유가 전망 연구”, POSRI경영경제연구, 11, 2, pp.58-86.

- 이철용, 이종수 (2007.12.3) “진술선호 자료와 현시선호 자료를 이용한 신제품의 수요예측: 한국의 텔레매틱스 시장을 대상으로”, Telecommunications Review, 17, 5, pp.855-865. 

- 이철용, 이종수 (2007.6.30) “기술 로드맵의 기초 작성을 위한 컨조인트 분석과 QFD”, 기술혁신연구, 15, 1, pp.65-86.

- 이철용, 이종수 (2005.12.15) “재구매를 고려한 이동통신단말기 시장의 확산 분석”, 정보통신정책연구, 12, 4, pp.179-201. 

- 이철용, 이정동, 김연배 (2005.6.30) “소비자 선택을 고려한 신기술 혁신의 확산 예측: 한국의 홈네트워킹 시장을 대상으로”, 기술혁신연구, 13, 1, pp.1-24. 

- 이종수, 조영상, 이정동, 이철용* (2004.12.31) “선택기반 확산모형을 이용한 차세대 대형 TV의 수요예측”, 정보통신정책연구, 11, 4, pp.57-81.

 

[수상 및 서훈]

대한민국 국무조정실장 표창, 2018.02.08