Seok-Kee Lee

Research Areas

• Big Data Analytics
• Impact of Information Technology
• Personalized Services and Recommendation Systems
• Natural Language Processing
• Empirical Research Methodologies

Education

Ph.D. in Management Engineering

Korea Advanced Institute of Science and Technology (KAIST), Seoul, August 2009

M.S. in Management Engineering

Korea Advanced Institute of Science and Technology (KAIST), Seoul, January 2002

B.S. in Computer Science

Korea University, Seoul, February 2000

Academic Experience

• Professor, Department of Computer Engineering, Hansung University, March 2023 to Present
• Associate Professor, Department of Computer Engineering, Hansung University, March 2018 to February 2023
• Visiting Professor, Department of Information Systems, Arizona State University, March 2018 to February 2019
• Assistant Professor, Department of Computer Engineering, Hansung University, March 2012 to February 2018
• Assistant Professor, Department of Information Systems, Hanyang University, September 2010 to February 2012
• Assistant Professor, Department of E-Business, Dongyang Technical College, March 2005 to August 2010

1. Lee, S., Shin, D., Kwon, K. H., Han, S. P., & Lee, S. K. (2024). Disinformation spillover: Uncovering the ripple effect of bot-assisted fake social engagement on public attention. MIS Quarterly, 48(3), 847–872.
2. Ren, L., Lee, S. K., & Chun, S. (2023). The effects of influencer type, regulatory focus, and perceived authenticity on consumers’ purchase intention. International Journal of Consumer Studies, 47(4), 1241–1255.
3. Park, G., Lee, S. K., & Choi, K. (2021). Evaluating the service operating efficiency and its determinants in global consulting firms: A metafrontier analysis. Sustainability, 13(18), 10352.
4. Lee, S. K., Kim, Y. G., & Lee, D. G. (2013). A collaborative recommender system: Lexicographic consensus and web usage mining approach. Information, 16(7), 4833.
5. Lee, S. K., Cho, Y. H., & Kim, S. H. (2010). Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations. Information Sciences, 180(11), 2142–2155.

Research Grants

• Korea Industry and Academy Association: Development of Customer Relationship Management System Based on Personalized Service for Web Contents
• Osan City, Gyeonggi-do: Early Bird, Development of Mobile Education Program for Academic Achievement of General High School Students
• Korea Institute of Startup and Entrepreneurship Development: 2017 SK Soaring Program for the Youth
• NAVER Corp.: Are the Bots and Human Abusers the Culprit of Online Opinion Manipulation?
• Institute of Information and Communications Technology Planning and Evaluation: Weather and Climate Big Data Expert Training Program
• TIPA: Smart diffuser software, pet identification technology, and multi-control device development projects
• ezCareTech: Non-Face-to-Face Video Telemedicine Software Development, Parts I and II
• Korea Foundation for the Advancement of Science and Creativity: SW and AI Education Camp Program
• Hansung University Faculty Research Program: 59 research topics funded over 12 years

Awards

• Best Researcher Award, Hansung University, 2021
• Best Researcher Award, Hansung University, 2019
• Best Paper Award, Korean Digital Policy Society Conference, November 2014
• Best Teacher Award, Hansung University, 2014

Government Committees and Advisory Roles

• Advisory Committee Member, Cheong Wa Dae Foundation, 2022 to Present
• Evaluation Committee Member, Korea Procurement Service, 2015 to Present
• Evaluation Committee Member, Integrated Research Information System, 2017 to Present

• NAVER: Online portal and provider of the global messenger service LINE
• Daum Kakao: Online portal and provider of KakaoTalk
• SK Telecom: Mobile telecommunications and digital content services
• Com2US: Global mobile game developer and publisher