
During the SCECR 2020 Conference -
“As an applied economist, I think that we need to carefully investigate the economic impact of Machine Intelligence on Business.”

Research
Artificial Intelligence + Machine Learning + Economics of Information Systems + IS Business Value
Published Paper
Kim, J. S., Yeo, J. S., & Jain, H., 2024. “An Economic Framework for Creating AI-Augmented Solutions Across Countries Over Time” Information Systems Frontiers, 1-28.
Kim, J. S., Lee, J. H., Shin, S. I., & Sneha, S., 2025. “Beyond Adoption: Data-Driven Insights in How EMR Implementation Sequences Shape Hospital Outcomes” Industrial Management & Data Systems, 1-30.
Under-Reviews
Shin, S. I., Kim, J. S., Lee, J.H., Lee, O.K., & Lee, K.Y. “Trade-offs between Benefits and Concerns in Using Generative AI Applications: From a Behavioral Bias Perspective” Under-Review (ABDC: A*)
Deodhar, S., Aghakani, N., Kim, J. S., Jain, H. “Impact of Status-Performance Discrepancy on Online Engagement” Under-Review (ABDC: A*)
Kim, J. S., Koo, T.K.B., Lee, J.H., & Lee, K.Y. “Authentic or Fabricated: The Impact of Human-written Vs. GAI-generated Reviews on Dining Out” Under-Review (ABDC: A*)
Kim, J. S., Lee. O.K., Kim, J.B., Shin, S.I., & Yun, H.J. “Digital Pop Stars and Real Reactions: How Dual Realism Shapes Audience Responses to AI Singers” Under-Review (ABDC: A)
The New Yorker Cover Art: “Tech Support,” by Kikuo Johnson. 10/23/2017
Forthcoming Submissions
Kim, J. S., Ho, Y.J., & Gurbaxani, V., “Revisiting Price Dispersion in Electronic Markets: Implication of Market Structure, and Seller & Product Heterogeneity.” Will be Submitted to a Journal (ABCD A*) within 2024.
Kim, J. S., Abhishek, V., & Gurbaxani, V., “Demand Prediction using Big Data: Human-in-the-Loop Approach.” Will be Submitted to a Journal (ABCD A*) within 2024.
Shin, S.I., Kim, J. S., Lee, J.H., Lee, K.Y., & Lee, O.K., “Awareness of Artificial Intelligence Ethics and Adoption of Artificial Intelligence.” Will be Submitted to a Journal (ABCD A) within 2024
Research in-progress
Lee, J.H., Kim, J. S., & Shin S. I., “Sequential Adoption and Co-Adoption of Package Technologies” Working-paper.
Shin S.I., Kim, J. S., Kim, J.B., Lee, O.K. & Yun, H.J., “What Do you Feel about an AI Singer Created by Generative AI?” Working-paper.
Shin S.I., Kim, J. S., Negash, S., & Saeed, K., “Does an Organization’s Performance Matter in Adopting Blockchain Technology?” Working-paper.

Peer-reviewed Conference Papers

Teaching Interests
Possible Courses:
Machine Learning / AI
To be successful data scientists, students must study and understand ML/AI theory, application, programming, and interpretation. It is particularly important to understand when and under what circumstances which ML/ AI algorithms should be applied.
Digital Economy
Digital economics focuses largely on the economics of digital goods. Topics include increasing returns to scale, network effects, spillovers, informational economies of scale, versioning, bundling, and so on,
Intro. to Information Systems
The main purpose of this course is to understand the main components of information system (over-view of technologies, database systems, Internet and networking, blockchain, cloud computing, cybersecurity, AI/ML) and their impact on businesses and society.