교수진

경영학과

김재경교수
  • 담당과목:
  • 경영정보시스템
  • 개설과목:
  • 의사결정모형및분석
  • 연구실:
  • 오비스홀 503호lOrbis Hall #503
  • 연락처:
  • 961-9355
  • E-mail:
  • jaek@khu.ac.kr
  • 학력:
  • 1985. 2. 서울대학교 산업공학 졸업 학사 (BA)
    1987. 2. KAIST(한국과학기술원) 산업공학 석사 (MS)
    1991. 8. KAIST(한국과학기술원) 산업공학 박사 (Ph.D)
  • · (1994. 3 - 1995. 2) University of Minnesota, Carlson School of management 초빙교수
    · (2006. 9 - 2007. 8) University of Texas, Dallas, School of Management 초빙교수
    · (2010.1. – 2010.12) 한국지능정보시스템학회 회장
    · (2008 - 2011) 한국산업정보학회 부회장
    · (2009 - 현재) Information Management & Technology (SSCI) Associate Editor
    · (2009 - 현재) 경희대학교 경영대학 BK21 사업단장
    · (2009 - 현재) 경희대학교 네트워크과학연구센터 센터장
    · (2011. 4 - 2013. 8) 경희대학교 산학협력단장 및 연구산학협력처 처장 겸임
    · (2012 - 현재) 국가과학기술위원회 지식서비스분과 자문위원
    · (2013. 9 - 현재) 경희대학교 경영대학원 원장
  • · “The Impact of IT Investment on Firm Performance in China:An Empirical Investigation of the Chinese Electronics Industry”,Technological Forecasting and Social Change. Vol.76, No.5, pp.678-687, 2009.6.

    · “Personalized Recommendation over a Customer Network for Ubiquitous Shopping”,IEEE Transactions on services computing,Vol.2,No.2,pp.140-151,2009.6.

    · “A group recommendation system for online communities”,International Journal of Information Management,Vol.30,No.3,pp.212-219,2010.5.

    · “Information technology and productivity:Empirical evidence from the Chinese electronics industry”,Information & Management,Vol.48, No.2-3, pp79-87, 2011.3.

    · “Commenders:A recommendation procedure for online book communities”,Electronic Commerce Research and Applications, Vol.10, No.5, pp. 501-509, 2011.9.

    · “A Personalized Booth Recommendation using Bayesian Networks in Ubiquitous Exhibition”,Information an International Interdisciplinary journal, Vol.14, No.9, pp2973-2989, 2011.9.

    · “Integration of a Causal Map and Social Network Analysis to Predict the Performance of Intelligent Exhibit Marketing”,Information an International Interdisciplinary journal, Vol.14, No.9, pp2973-2989, 2011.9.

    · “Customer-Driven Content Recommendation Over a Network of Customers”,IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PARTA-SYSTEMS AND HUMANS, Vol.42, No.1, pp48-56, 2012.1.

    · “A product network analysis for extending the market basket analysis”,Expert Systems with Applications, Vol.39, No.8, pp7403-7410, 2012.6.

    · “A literature review and classification of recommender systems research”,Expert Systems with Applications, Vol.39, No.11, pp.10059-10072, 2012.9.