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.”
Jin Sik Kim (김진식; 金塡植)
Position
Assistant Professor in Data Analytics
The Gary W. Rollins College of Business, The University of Tennessee at Chattanooga,
August 2021 - Current
email: jinsik-kim@utc.edu
Education
Ph.D. in Management (Focus: Information Systems)
The Paul Merage School of Business, The University of California, Irvine, July 2021
Advisor: Vijay Gurbaxani
Advisor: Vibhanshu (Vibs) Abhishek
MA in Economics,
Maxwell School of Economics, Syracuse University: December 2013
MPIA, International Management, IRSP
The University of California, San Diego: June 2010
BA (Double Major) & MS, Information Systems & Journalism,
Yonsei University: February 2006
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. [Download]
Under-Reviews
Kim, J. S., Lee, J. H., Shin, S.I., & Sneha, S. “Does the Sequential Matter? Analyzing the EMR Adoption Patterns and Hospital Performance: Data-Driven Research” Under-Review (ABDC: A)
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*)
The New Yorker Cover Art: “Tech Support,” by Kikuo Johnson. 10/23/2017
Forthcoming Submissions
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.
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.
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
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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 Skills
ICODO 2024
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Modelling Intelligece Augmentation: Implications from Heterogeneous Industries and Economies
ICODO 2023
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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.