Jaeung Sim
Assistant Professor
OPIM
Education
Ph.D. in Management Engineering, KAIST
B.S. in Industrial & Management Engineering, POSTECH
Areas of Expertise
- Topics: Attention Economy (digital streaming, subscription, behavioral economics), Sustainable Operations (platform governance, IT infrastructure, energy economics)
- Methods: Causal inference (econometrics, experiment), Unstructured Data Analysis (video analytics, image/text mining), Analytical Modeling (decision analysis, game theory)
Biography
Jaeung (Jay) Sim is an Assistant Professor of the Department of Operations and Information Management. His research aims at understanding how digital technologies relocate scarcity with a special emphasis on the attention economy and sustainable operations. Jaeung’s research has appeared in leading academic journals, including MIS Quarterly, Marketing Science, and Journal of Economic Behavior & Organization.
Before joining UConn, Jaeung earned his Ph.D. in Management Engineering from KAIST College of Business and B.S. in Industrial and Management Engineering from POSTECH (Summa Cum Laude). Sometimes people ask me whom I support for the POSTECH-KAIST Science War, and my answer has always been POSTECH!
Featured Publications
Attention Economy
- Jaeung Sim, Kyungmin Choi, Daegon Cho, Sang Pil Han (2024) “In-Consumption Information Cues and Online Video Consumption,” MIS Quarterly 48(2), pp. 645–678.
- Jaeung Sim, Jea Gon Park, Daegon Cho, Michael D. Smith, Jaemin Jung (2022) “Bestseller Lists and Product Discovery in the Subscription-based Market: Evidence from Music Streaming,” Journal of Economic Behavior & Organization 194, pp. 550–567.
- Jaeung Sim, Daegon Cho, Youngdeok Hwang, Rahul Telang (2022) “Frontiers: Virus Shook the Streaming Star: Estimating the COVID-19 Impact on Music Consumption,” Marketing Science 41(1), pp. 19–32.
Sustainable Operations
- Sosung Baik, Jeffrey F. Hines, Jaeung Sim* (2023) “Racial disparities in the energy burden beyond socio-economic inequality,” Energy Economics 127(Part A), 107098 (*Corresponding author).
- Jaeung Sim, Junyeong Lee, Daegon Cho (2023) “On the Effectiveness of Smart Metering Technology Adoption: Evidence from the National Rollout in the United Kingdom,” Journal of the Association for Information Systems 24(2), pp. 555–591.
- Jae Yeon Kim, Jaeung Sim, Daegon Cho (2023) “Identity and Status: When Counterspeech Increases Hate Speech Reporting and Why,” Information Systems Frontiers 25, pp. 1683–1694.

| jaeung.sim@uconn.edu | |
| Campus | Stamford |
| Courses | OPIM 5671: Data Mining and Time Series Forecasting; OPIM 5512: Data Science Using Python; OPIM 5272: Data Management and Business Process Modeling |