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About Young-Chan Lee Prof.

Dr. Young-Chan Lee is an Associate Professor of Department of Information Management at Dongguk University, GyeongJu, Korea. Currently he is serving as the dean of international affairs & education of Dongguk University and editor-in-chief of the Journal of Information Systems published by Korea Association of Information Systems. Dr. Lee received a Ph.D. degree of Management Science in Department of Business Administration from Sogang University, Seoul, Korea. Dr. Lee has published papers on some international journals such as Human Factors in Ergonomics and Manufacturing, Knowledge-Based Systems, Expert Systems with Applications, Information Systems Management, Technological and Economic Development of Economy and so on. And he also has published tens of books, and won a lot of research funding and participated in various projects. He was awarded as Most Cited Papers in Expert Systems with Applications in 2010 and Marquis Who's Who annually since 2007. He also was awarded as Best Paper of Korea Association of Information Systems in 2009 and 2010 successively.
Specialties:His research interests are in business performance measurement, knowledge management, data mining, system dynamics, multi-criteria decision making, technology management, supply chain management, customer relationship management.


Present Editor-in-Chief, Korea Association of Information Systmes
Present Dean, Office of International Affairs & Education, Dongguk University
Present Professor, Dongguk University

Curriculum Vitae

Research Interests

Multi Criteria Decision Making, System Dynamics, and Data Mining

Honors and Awards

  • Most Cited Paper Award (2006-2008) in Expert Systems with Applications
  • Marquis Who's Who 2007-2012
  • Best Paper Award of Korea Association of Information Systems (2010)
  • Best Paper Award of Korea Association of Information Systems (2009)
  • 2000 Outstanding Scientists, IBC (2008
  • Best Paper Award of Korea Technology Finance Corporation (2005)
  • Best Paper Award of Korea Customer Satisfaction Management Association (2004)


  • Research Methodology
  • Management Science
  • System Dynamics
  • Data Mining

Contact Information