Faculty Research Profile
Kee Yeun Lee
학력
· 2013: Ph.D., Marketing, Ross School of Business, University of Michigan
· 2006: B.A., Statistics, Yonsei University
주요 경력
· 2019~ Present: Assistant Professor,
UNIST
· 2013~2019: Hong Kong Polytechnic
University, Faculty of Management
and Marketing, Assistant Professor
수상/학회/외부활동
· Excellence Prize in the AICP (Artificial Intelligence Challengers Program) competition, UNIST, 2024
· Close Award, Ross School of Business, University of Michigan, 2010
· Kendrick Award, Ross School of Business, University of Michigan, 2010
계량마케팅 연구실
Quantitative Marketing Research Lab
이기연 교수의 연구는 기업과 고객 간, 그리고 고객들끼리의 동적인 상호 소통에 대한 통계 모형 개발에 초점을 맞추고 있습니다. 데이터를 분석을 통해 기업의 마케팅 커뮤니케이션 행동에 대한 고객의 반응뿐만 아니라, 기업이 개별 고객에게 어떻게 자극을 동적으로 최적화할 수 있는지 측정하는 방법을 개발 중 입니다.
Prof. Lee's research focuses on developing statistical models of dynamic intercommunication: between firms and their customers and among customers themselves. He tries to measure not only customers’ responses to firms’ marketing communication actions (stimuli), but also how firms can optimize such stimuli to individual customers in a dynamic manner.
Prof. Lee's research focuses on developing statistical models of dynamic intercommunication: between firms and their customers and among customers themselves. He tries to measure not only customers’ responses to firms’ marketing communication actions (stimuli), but also how firms can optimize such stimuli to individual customers in a dynamic manner.
연구분야
Choice Modeling, Bayesian Econometrics, Machine Learning, Customer Relationship Management, Medical Research
Choice Modeling, Bayesian Econometrics, Machine Learning, Customer Relationship Management, , Medical Research
연구 희망분야
Sports and Online Entertainment, Social Economy, Public Policy
Sports and Online Entertainment, Social Economy, Public Policy
연구주제
Choice Modeling
Bayesian Econometrics
Machine Learning
Donation Behaviors
Sports and Online Entertainment
Customer Relationship Management
Medical Research
Public Policy
Choice Modeling
Bayesian Econometrics
Machine Learning
Donation Behaviors
Sports and Online Entertainment
Customer Relationship Management
Medical Research
Public Policy
국가연구개발사업 기술 분류체계
국가과학기술표준분류
SC. 경제/경영 > SC10. 마케팅 > SC1099. 달리 분류되지 않는 마케팅
논문
Bruch, E., Feinberg, F., & Lee, K. Y. (2016). Extracting multistage screening rules from online dating activity data. Proceedings of the National Academy of Sciences, 113(38)