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Wilbur O. and Ann Powers College of Business

Profile Information

Kenn Hongki Kim

Assistant Professor


Office: 420N
Phone:
Email: HONGKIK@clemson.edu

 


 Educational Background

  • Ph.D. Management Information Systems
    University of British Columbia 2018
  • M.S. Management Information Systems
    Yonsei University 2010
  • B.B.A. Business Administration
    Yonsei University 2007

Courses Taught

  • MGT3500 Introduction to Business Analytics
  • MGT4540 Business Analytics Programming
  • DSA8640 Programming for Data Science
  • MGT8990 PhD Seminar

Profile

Dr. Kenn H. Kim is an assistant professor of College of Business at Clemson University. He holds a Ph.D in Management Information Systems from University of British Columbia. His research focuses on Computer-Aided Decision Support Systems in general, and more specifically on recommendation systems, virtual worlds, social media, artificial intelligence, human-computer interaction, and e-Commerce. In the areas of system implementation and empirical methods, he uses decision-aids tools based on behavioral theories and data analytic algorithms, such as, text mining and machine learning; and investigates their impacts on individuals' decision-making process through lab experiments. His work has been published in MIS Quarterly and Information and Management.

Research Interests

  • Topics: Computer-Aided Decision Support System, Recommendation System, Virtual Worlds, Social Media, Artificial Intelligence, Human Computer Interaction, e-Commerce
  • Methodologies: Lab Experiments, Field Experiments, Survey, Protocol Analysis, Grounded Theory, Structural Equation Modeling, Multivariate Data Analysis, Machine Learning, Deep Learning

Research Publications

  • Kim, H., Benbasat, I., and Cavusoglu, H. 2017. "Online Consumers' Attribution of Inconsistency Between Advice Sources," Proceedings of International Conference on Information Systems (ICIS), Seoul, Korea, December.
  • Kim, H., Benbasat, I., and Cavusoglu, H. 2017. "Supporting Online Consumers by Identifying Consistency Distance Among Advice Sources," Proceedings of International Conference on Information Systems (ICIS), Seoul, Korea, December.
  • Kim, H, Suh, K. S., and Lee, E. K. 2013. "Effects of Collaborative Online Shopping on Shopping Experience through Social and Relational Perspectives," Information and Management, (50:4), pp. 169-180.
  • Kim, H. and Benbasat, I. 2013. "How e-Consumers Integrate Diverse Recommendations from Multiple Sources: Exploration and Confirmation-driven Approaches," Proceedings of International Conference on Information Systems (ICIS), Milan, Italy, December.
  • Lee, E. K. and Kim, H. 2013. "The Effect on Audience Reactions of Audience Opinion Adoption from SNS," Proceedings of Pacific Asia Conference on Information Systems (PACIS), Jeju Island, Korea, June.
  • Kim, H, Son, J. Y., and Suh, K. S. 2012. "Following Firms on Twitter: Determinants of Continuance and Word-of-mouth Intention," Asia Pacific Journal of Information Systems, (22:3), pp. 1-27.
  • Suh, K. S., Kim, H, and Suh, E. K. 2011. "What If Your Avatar Looks Like You? Dual Congruity Perspectives for Avatar Use," MIS Quarterly, (35:3), pp. 711-729.
  • Kim, H., Suh, K. S., and Suh, E. K. 2009. "What If Your Avatar Looks Like You? The Effect of Avatar Similarity on Avatar Usage and Evaluation of Apparel Products in Virtual Worlds," Proceedings of the Virtual Worlds Conference, Austin, TX, April.
  • Kim, H., Suh, K. S., and Kim, D. M. 2008. "The Effects of Personalized Virtual Model and Voice Chat Support on Presence in Collaborative Online Shopping," Proceedings of the Pre-International Conference on Information Systems (Pre-ICIS), Paris, France, December
Wilbur O. and Ann Powers College of Business
Wilbur O. and Ann Powers College of Business | 343 Chandler L. Burns Hall, Clemson, S.C., 29634