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
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” R&R (ABDC: A*)
Deodhar, S., Aghakani, N., Kim, J. S., Jain, H. “Star that Do Not Blink: 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*)
Lee, J.H., Kim, J. S., & Shin, S.I. “Orchestrating Electronic Medical Records: The Strategic Value of Co-Adoption in Hospital Performance” 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)
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. 2026. “Beyond Adoption: Data-Driven Insights in How EMR Implementation Sequences Shape Hospital Outcomes” Industrial Management & Data Systems, 126(2). pp. 592-621.
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 2026.
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 2026.
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 2026.
Research in-progress
Kim, J.S., Koo, T.K.B., Kim, S.D., & Im S.B., “Can Generative AI move us?” Working-paper.
Lee, J.H., Kim, J. S., Shin, S.I., & You, S.S., “AI & Delegation” 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
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Stars That Do Not Blink: Impact of Status-Performance Discrepancy on User Engagement in Social Media Platforms
The 5th Annual International Research Conference (AIRC). 2026.
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Beyond Adoption: Data-Driven Insights in How EMR Implementation Sequences Shape Hospital Outcomes.
Industrial Management & Data Systems 2026.
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The Impact of Immersive Digital Technology on Tacit Knowledge Transfer and Task Values
Decision Sciences Institute 56th Annual Conference, 2025.
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Impact of AI-Human Collaboration on Creativity: A Study on Search Processes & Decision Making Dynamics
Southern Association for Information Systems 2025
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Authentic or Fabricated: The Impact of Human-written Vs. GAI-generated Reviews on Dining Out
Artificial Intelligence in Management Conference, 2025
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Does an Organization's Performance Matter in Adopting Blockchain Technology?
HICSS-58
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What do you Feel about an AI-Singer Created by Generative AI?
HICSS-58
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Sequential Adoption and Co-Adoption of Package Technologies
AMCIS 2024
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Trade-offs between Benefits and Risks in Using Generative AI Applications
ICEC 2024
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Generative AI and Human Skills
ICODO 2024
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An Economic Framework for Creating AI-Augmented Solutions Across Countries Over Time.
Information Systems Frontiers 2024
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Modelling Intelligece Augmentation: Implications from Heterogeneous Industries and Economies
ICODO 2023, Information Systems Frontiers (2024)
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Does the Electronic Medical Record (EMR) Adoption Matter?
HICSS-56
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Demand Prediction Using Machine Learning: A Human-in-the-Loop Approach.
Workshop on Information Systems and Economics (WISE) 2020, SCECR 2020,
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An Empirical Evidence of Price Dispersion in Electronic Markets
INFORMS Annual Meetings 2020, 2018
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.