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Seokjun Youn

Associate Professor of Management Information Systems
Levine Faculty Fellow
Seokjun Youn

McClelland Hall 430CC
1130 E. Helen St.
P.O. Box 210108
Tucson, Arizona 85721-0108

520-626-0493
syoun@arizona.edu

Areas of Expertise

Applied Econometrics, Discrete Optimization, Machine Learning, Natural Language Processing
Health IT, Patient Portal, Online Health Communities
Human-AI Collaboration, Applications of AI
Operational Efficiency in Healthcare Delivery Systems
Patient Flow and Healthcare Resource Management
Supply Chain Management and Logistics
Seokjun Youn is an Associate Professor of Management Information Systems and a Levine Faculty Fellow at the Eller College of Management, University of Arizona. His research spans healthcare operations, digital platforms, and AI-enabled decision-making, examining how professional expertise, technologies, and public policies shape service performance. He focuses on how complex and increasingly technology-mediated healthcare phenomena can be measured rigorously, identified empirically, and translated into actionable operational insights, drawing on econometrics, causal inference, optimization, and machine learning. His research has appeared in leading journals, including Manufacturing & Service Operations Management, Information Systems Research, and Production and Operations Management, Journal of Operations Management. His work has received several honors, including 2026 POMS College of Healthcare Operations Management Best Paper Award and the 2024 Decision Sciences Institute Best Theory-Driven Empirical Research Paper Award. He serves as an Associate Editor for Decision Support Systems and on the editorial review boards of Production and Operations Management and Decision Sciences. He holds a Ph.D. in Business Administration, specializing in Operations and Supply Chain Management, from Mays Business School at Texas A&M University, an M.S. in Industrial Engineering from Texas A&M University, and a B.S. in Industrial Engineering from Seoul National University. Prior to academia, he served as an officer in the Republic of Korea Air Force.
 
Courses
MIS 584 Big Data Technologies
OSCM 471/571 Optimization and Decision Support Modeling for Business
MIS 544 Healthcare Analytics
BNAN 530 Foundations of Python for Business Analytics
 
Selected Publications
  • “Operational Impacts of Diagnostic Discrepancies: Insights from Physician Experience,” Manufacturing & Service Operations Management (2026), Forthcoming (with Y. Lan).
  • “The Effectiveness of Regulations on the Dual-Role Retailer’s Data Use for Sellers,” Information Systems Research (2026), Forthcoming (with Y. Kim, K. S. Jung, and Y. Kwark).
  • “Trust in Generative AI for Health Information Consumption and the Effect of Learned Dependency: An Experimental Study,” Journal of Medical Internet Research (2026) (with A. Ahmed, G. Leroy, A. Sachdeva, P. Harber, S. A. Rains, and P. Barai).
  • “Deadline Effect in Stroke Patient Care: A Temporal Motivation Theory Perspective of Process Management,” Journal of Operations Management (2025), 71(5), 670-699 (with B. Lee and L. Fredendall).
  • “Planning and Scheduling in Healthcare for Better Care Coordination: Current Understanding, Trending Topics, and Future Opportunities,” Production and Operations Management (2022), 31(12), 4407-4423 (with H. N. Geismar and M. Pinedo).
  • “Adaptive Capacity Planning for Ambulatory Surgery Centers,” Manufacturing & Service Operations Management (2022), 24(6), 3135-3157 (with H. N. Geismar, C. Sriskandarajah, and V. Tiwari).
  • “Examining Impacts of Clinical Practice Variation on Operational Performance,” Production and Operations Management (2021), 30(4), 839-863 (with G. R. Heim, S. Kumar, and C. Sriskandarajah).
  • “Location-Routing with Conflicting Objectives: Coordinating eBeam Phytosanitary Treatment and Distribution of Mexican Import Commodities,” Production and Operations Management (2020), 29(6), 1506-1531 (with H. N. Geismar, Y. Huang, S. D. Pillai, and C. Sriskandarajah).
Refereed Conference Papers and Proceedings
  • “Voice Matters: How Physicians’ Audio Messaging Reshapes Physician-Patient Interactions in Online Healthcare Communities,” Hawaii International Conference on System Sciences (HICSS), Big Island, HI, January 5-8, 2027 (with X. Chen and Y. Kim). Accepted.
  • “Online Reputation Spillovers in Healthcare Markets: Evidence from Physician Reviews and Medicare Claims,” Conference on Health IT and Analytics (CHITA), Washington, D.C., May 8-9, 2026 (with Z. Wang and A. Baird).
  • “When Less Testing Costs More: Diagnostic Underuse Variation and Care Delivery Expenditures in Hospital Operations,” POMS Annual Meeting, POMS 2026 College of Healthcare Operations Management Best Paper Award Winner, Reno, NV, May 7-11, 2026 (with G. R. Heim).
  • “Community Feedback: The Key to Boosting Popularity and Code Reuse in Open Source Software,” Conference on Information Systems and Technology (CIST), Atlanta, GA, October 25-26, 2025 (with Z. Wang and Y. Ge).
  • “Community Feedback: The Key to Boosting Popularity and Code Reuse in Open Source Software,” Americas Conference on Information Systems (AMCIS), Montreal, Canada, August 14-16, 2025 (with Z. Wang and Y. Ge).
  • “Operational Impacts of Diagnostic Discrepancies: Insights from Physician Experience,” Americas Conference on Information Systems (AMCIS), Top 25% of Accepted Complete Papers, Montreal, Canada, August 14-16, 2025 (with Y. Lan).
  • “Operational Impacts of Diagnostic Discrepancies: Insights from Physician Experience,” OSCM Division, Academy of Management (AOM) Annual Meeting, Copenhagen, Denmark, July 25-29, 2025 (with Y. Lan).
  • “Beyond Human Interaction: Generative AI’s Impact on Mental Health Counseling,” Artificial Intelligence and Machine Learning in Operations Management Research (AIMOR) Workshop, Banff, Canada, May 14-15, 2025 (with C. Guo, K. Xie, X. Chen, and W. Chen).
  • “Operational Impacts of Diagnostic Discrepancies: Insights from Physician Experience,” Conference on Health IT and Analytics (CHITA), Austin, TX, April 26-27, 2025 (with Y. Lan).
  • “Beyond Human Interaction: Generative AI’s Impact on Mental Health Counseling,” Conference on Health IT and Analytics (CHITA), Austin, TX, April 26-27, 2025 (with C. Guo, K. Xie, X. Chen, and W. Chen).
  • “Listening to Care: Investigating Physicians’ Use of Audio in Online Healthcare Environments,” Artificial Intelligence in Management (AIM) Conference, USC Marshall School of Business, CA, March 21-22, 2025 (with X. Chen and Y. Kim).
  • “Listening to Care: Investigating Physicians’ Use of Audio in Online Healthcare Environments,” Decision Sciences Institute (DSI) Annual Meeting, DSI 2024 Best Theory-Driven Empirical Research Paper Award Winner, Phoenix, AZ, November 23-25, 2024 (with X. Chen and Y. Kim).
  • “Dynamic Effects of Activity Diversity on Fitness Behavior: Evidence from an Online Fitness Platform,” Conference on Health IT and Analytics (CHITA), Washington, D.C., May 3-4, 2024 (with C. Guo, W. Chen, Z. Yan, and Q. Yin).
  • “Listening to Care: Investigating Physicians’ Use of Audio in Online Healthcare Environments,” Conference on Health IT and Analytics (CHITA), Washington, D.C., May 3-4, 2024 (with X. Chen and Y. Kim).
  • “Listening to Care: Investigating Physicians’ Use of Audio in Online Healthcare Environments,” Conference on Information Systems and Technology (CIST), Phoenix, AZ, October 14-15, 2023 (with X. Chen and Y. Kim).
  • “Battling Therapeutic Inertia in Diabetes Management: Empirical Evidence from Patient Portal,” Conference on Information Systems and Technology (CIST), Indianapolis, IN, October 15-16, 2022 (with Y. Kim, K. S. Jung, Y. Kwark, and D.-G. Ko).
  • “Deadline Effect in Stroke Patient Care: Paradox of Arriving Too Early,” Conference on Health IT and Analytics (CHITA), Virtual, March 4-5, 2022 (with B. Lee and L. Fredendall).
  • “Does Underuse Variation in Test-Ordering Practice Relate to Higher Care-Delivery Cost?” Decision Sciences Institute (DSI) Annual Meeting, DSI 2021 Best Inter-disciplinary Paper Award Winner, Virtual, November 17-20, 2021 (with G. R. Heim).
  • “Does Underuse Variation in Test-Ordering Practice Relate to Higher Care-Delivery Cost?” INFORMS Annual Meeting, INFORMS 2021 Service Science Best Cluster Paper Award Finalist, Anaheim, CA, October 24-27, 2021 (with G. R. Heim).
  • “Unwarranted Variation in Healthcare: Impacts of Test-Order Practice Variation on Care-Delivery Cost,” Academy of Management (AOM) Annual Meeting, Virtual, July 30-August 3, 2021 (with G. R. Heim).
  • “Information Sharing Enforcement: Does It Come to Fruition in the Marketplace?” Korean Association for Information Systems (KrAIS) Research Workshop, Seoul, South Korea, December 17, 2020 (with Y. Kim, K. S. Jung, and Y. Kwark).
  • “Practice Variation in Healthcare: Impacts on Operational Performance and Intervening Effects of Quality Evaluations,” INFORMS Workshop on Data Mining and Decision Analytics (DMDA), Virtual, November 7, 2020 (with G. R. Heim, S. Kumar, and C. Sriskandarajah).
  • “Adaptive Capacity Planning for Ambulatory Surgery Centers: A Bottom-up Strategy Based on Patient Flow,” INFORMS Workshop on Data Mining and Decision Analytics (DMDA), Virtual, November 7, 2020 (with H. N. Geismar, C. Sriskandarajah, and V. Tiwari).
  • “Thanks, But No Thanks: Does Information Sharing Enforcement Come to Fruition to the Marketplace?” Conference on Information Systems and Technology (CIST), Virtual, November 7-8, 2020 (with Y. Kim, K. S. Jung, and Y. Kwark).
  • “Does Underuse Variation in Test-Ordering Practice Relate to Higher Care-Delivery Cost?” Conference on Health IT and Analytics (CHITA), CHITA 2020 Best Paper Award Runner-up, Virtual, October 8-10, 2020 (with G. R. Heim).
  • “Adaptive Capacity Planning for Ambulatory Surgery Centers,” Conference on Health IT and Analytics (CHITA), Virtual, October 8-10, 2020 (with H. N. Geismar, C. Sriskandarajah, and V. Tiwari).
  • “Provider Selection Framework for Bundled Payments in Healthcare Services,” Americas Conference on Information Systems (AMCIS), Proceedings 38, Virtual, August 12-16, 2020 (with A. Agrawal, S. Kumar, and C. Sriskandarajah).
  • “Adaptive Capacity Planning for Ambulatory Surgery Centers: A Bottom-up Strategy Based on Optimization Combined with Data Analytics,” Workshop on Information Technologies and Systems (WITS), Munich, Germany, December 18-20, 2019 (with H. N. Geismar, C. Sriskandarajah, and V. Tiwari).
  • “Examining Impacts of Clinical Practice Variation on Operational Performance: Implications for Bundled Payment Reform Models,” Decision Sciences Institute (DSI) Annual Meeting, DSI 2018 Best Student Paper Award Winner, Chicago, IL, November 17-19, 2018 (with G. R. Heim, S. Kumar, and C. Sriskandarajah).
  • “Examining Impacts of Clinical Practice Variation on Operational Performance: Implications for Bundled Payment Reform Models,” Conference on Health IT and Analytics (CHITA), Washington, D.C., November 3-4, 2017 (with G. R. Heim, S. Kumar, and C. Sriskandarajah).
  • “Examining Impacts of Clinical Practice Variation on Operational Performance: Implications for Bundled Payment Reform Models,” INFORMS Annual Meeting, INFORMS 2017 IBM Service Science Best Student Paper Award Finalist, Houston, TX, October 22-25, 2017 (with G. R. Heim, S. Kumar, and C. Sriskandarajah).
  • “Variation in Medical Charges and Quality of Patient Care: An Empirical Analysis for Payment Reform Models,” POMS Healthcare Conference: Patient-Centric Healthcare Management in the Age of Analytics, Bloomington, IN, October 9-10, 2015 (with G. R. Heim, S. Kumar, and C. Sriskandarajah).
Professional Associations
  • Institute for Operations Research and Management Sciences (INFORMS), Senior Member (2025-Present)
  • Production and Operations Management Society (POMS)
  • Decision Sciences Institute (DSI)
  • Association for Information Systems (AIS)
  • Academy of Management (AOM)
Awards and Honors
  • Winner, POMS College of Healthcare Operations Management (CHOM) Best Paper Award, 2026.
  • Inaugural Faculty Advisor of the Year Award, Eller Partnerships Office, University of Arizona, 2026.
  • Center for Management Innovations in Healthcare (CMIH) Research Grant, University of Arizona, 2020, 2021, 2023-2026.
  • Eller College Small Research Grant, University of Arizona, 2023-2026.
  • Dean’s Research Award for Assistant Professor, Eller College of Management, University of Arizona, 2025.
  • Lundgren Retail Collaborative (LRC) Research Grant, University of Arizona, 2024, 2025.
  • Dean’s Office Research Data Grant, Eller College of Management, University of Arizona, 2025.
  • Winner, Decision Sciences Institute (DSI) Best Theory-Driven Empirical Research Paper Award, 2024.
  • Meritorious Service Award, Health Care Management Science, 2023.
  • POMS Emerging Scholars Program, 2021, 2023.
  • Winner, Decision Sciences Institute (DSI) Best Inter-disciplinary Paper Award, 2021.
  • Finalist, INFORMS Service Science Best Cluster Paper Award, 2021.
  • Selected for MIS Quarterly Author Development Workshop, 2021.
  • Runner-up, Conference on Health IT and Analytics (CHITA) Best Paper Award, 2020.
  • Finalist, Elwood S. Buffa Doctoral Dissertation Award, Decision Sciences Institute (DSI), 2020.
  • Outstanding Reviewer Award, Health Care Management (HCM) Division, Academy of Management, 2020.
  • Winner, Decision Sciences Institute (DSI) Best Student Paper Award, 2018.
  • Outstanding Research Award by a Doctoral Student, Mays Business School, Texas A&M University, 2018.
  • Finalist, INFORMS IBM Service Science Best Student Paper Award, 2017.
  • Grand Challenge Research Grant, Mays Business School, Texas A&M University, 2017.
  • POMS Doctoral Consortium Fellow, 2016.
  • DSI Doctoral Consortium Fellow, Post-Proposal Defense Stage, 2016.
  • Purdue CIBER Doctoral Consortium Fellow, 2015.
  • The Air Force Chief of Staff Prize, Nationwide Annual Training Competition, Republic of Korea Air Force, 2010.

Degrees

  • PhD, Operations and Supply Chain Management, Texas A&M University
  • MS in Industrial Engineering, Texas A&M University
  • BS in Industrial Engineering, Seoul National University