교직원

Faculty & Staff

  • 교직원
  • 교수

교수

교수 이미지
AI 디지털 경영비즈니스 AI 빅데이터 분석
김희웅 교수
  • 02-2123-4195
  • kimhw@yonsei.ac.kr
  • 디지털 서비스 연구실
  • 새천년관 406호
주요링크

디지털서비스 연구실 구글 스칼라

연구분야

AI for Business ManagementMachine Learning ApplicationsDigital BusinessInformation Systems

학력

  • 경영대학원 경영정보시스템 박사 / 한국과학기술원(KAIST) (1998)

  • 산업경영공학과 공학석사(경영정보시스템) / 포항공과대학교(POSTECH) (1994)

  • 산업경영공학과 공학사 / 포항공과대학교(POSTECH) (1992)

경력

  • Mar. 2017 - Present Yonsei University, Graduate School of Information (Full Professor)

  • Sep. 2024 - Aug. 2026, Yonsei University (Lee Youn Jae Fellow)

  • Jan. 2013 - Dec. 2015, Yonsei University (Underwood Distinguished Professor)

  • Mar. 2009 - Feb. 2017 Yonsei University, Graduate School of Information (Associate Professor, Early Tenure)

  • Apr. 2002 - Feb. 2009 National University of Singapore, Department of Information Systems and Analytics (Assistant Professor)

  • Sep. 1999 - Mar. 2002 LG CNS, Entrue Consulting (Senior IS consultant)

  • May. 1998 - Aug. 1999 Massachusetts Institute of Technology, Sloan School of Management (Post-Doctoral Research Fellow)

주요 연구활동 및 저서

HONORS & ACADEMIC SERVICES

HONORS

  • Listed in the World Top 2% Scientists (Elsevier, 2024, 2023, 2022, 2021, 2020)

  • Lee Youn Jae Fellow, Yonsei University, 2024/9~2026/8

  • 공헌교수상, 연세대학교, 2024

  • 연세학술상, 연세대학교, 2014

  • 언더우드 특훈교수 (Underwood Distinguished Professor), 연세대학교, 2013~2015

  • 우수업적 교수상, 연세대학교, 2025, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2010

ACADEMIC SERVICES

  • 한국경영정보학회 (KMIS), 학회장, 2024

  • 전세계 한인정보시스템협회 (Korea Association for Information Systems), 회장, 2017~2018

Journal

  • Senior Editor, Decision Support Systems (2024~2025)

  • Associate Editor, MIS Quarterly (2022/1 ~ 2023/12, 2024/1~2025/12)

  • 편집위원장, 한국경영학회 경영학연구 (2025/3 - 2027/2)

Conference

  • Track Chair, International Conference on Information Systems(ICIS), 2025

Reviewer

  • MIS Quarterly, Information Systems Research, Journal of MIS, IEEE Transactions on Engineering Management, European journal of IS, International Journal of EC, DSS Information & Mgt, and others.

최신 논문

  • Seong-Su Kim, Woosik Shin and Hee-Woong Kim, "Unravelling long-stay tourist experiences and satisfaction: text mining and deep learning approaches," Current Issues In Tourism, 2025/2, 28(3), 492–510. (Link)

  • Woosik Shin, Jiyong Park and Hee-Woong Kim, "Online Consumer Demand During and After Natural Disasters: Evidence from the COVID-19 Pandemic" Information & Management, 61(6), 2024/9, 104006. (Link)

  • Xiaowen Feng, Seongbeom Kim, Zhiyi Chen and Hee-Woong Kim, "Exploring the experience factors of Chinese tourists visiting Seoul and Tokyo: A mixed methodology of text mining and interviews" Asia Pacific Journal of Information Systems, 2024/6. (Link)

  • Seongbeom Kim, Woosik Shin and Hee-Woong Kim, "Predicting Online Customer Purchase: The Integration of Customer Characteristics and Browsing Patterns," Decision Support Systems (DSS), 17, 2024/2, 114105. (Link)

Hee-Woong Kim