Seokjun Youn

Seokjun Youn is an Assistant Professor of Management Information Systems at the University of Arizona. His research delves into the operational drivers of healthcare delivery performance, aiming to elucidate the effects of technological innovations and public policies on healthcare operations and health IT management. Broadly, Seokjun also conducts research on supply chain logistics and platform business models. By blending data analytics with empirical and optimization methods, he provides insights that advance the fields. His research has been featured in respected academic journals such as Manufacturing & Service Operations Management, Production and Operations Management, and Journal of Operations Management. Seokjun's contributions have been recognized with several awards, including the DSI Best Theory-Driven Empirical Research Paper Award, the CHITA Best Paper Award Runner-up, and the DSI Best Inter-disciplinary Paper Award, among others. Seokjun serves on the editorial review boards of Production and Operations Management and Decision Sciences journals and co-chairs conference tracks and sessions. He earned a PhD in Business Administration from Texas A&M University, with a focus on Operations and Supply Chain Management. He holds a master’s degree from Texas A&M University and a bachelor’s degree from Seoul National University, both in Industrial Engineering. Prior to his academic career, Seokjun served as an Air Force officer in South Korea, specializing in aircraft armament systems maintenance.

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

Publications

• “Deadline Effect in Stroke Patient Care: A Temporal Motivation Theory Perspective of Process Management,” Journal of Operations Management (2025), Forthcoming (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 T. Vikram).
• “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

• “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).
•  “Listening to Care: Investigating Physicians’ Use of Audio in Online Healthcare Environments.” Artificial Intelligence and Machine Learning in Operations Management Research (AIMOR) Workshop, Banff, AB, Canada, May 14-15, 2025 (with X. Chen and Y. Kim).
•  “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 T. Vikram). 
• “Thanks, But No Thanks: Does Information Sharing Enforcement Come to Fruition to the Marketplace?” INFORMS 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 T. Vikram). 
• “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 T. Vikram). 
• “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,” 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). 
• “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).  
• “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) 
• Production and Operations Management Society (POMS) 
• Decision Sciences Institute (DSI) 
• Association for Information Systems (AIS) 
• Academy of Management (AOM) 

• Center for Management Innovations in Healthcare (CMIH) Grant, University of Arizona 2020, 2021, 2023, 2024, 2025
• Eller Dean’s Office Research Data Grant, University of Arizona 2025
• Winner, Decision Sciences Institute (DSI) Best Theory-Driven Empirical Research Paper Award 2024
• Meritorious Service Awards 2023, Health Care Management Science 2024
• Lundgren Retail Collaborative (LRC) Research Grant, University of Arizona 2024
• Eller College Small Research Grant, University of Arizona 2023, 2024
• Production and Operations Management Society (POMS) Emerging Scholars Program, 2021, 2023
• Winner, Decision Sciences Institute (DSI) Best Inter-disciplinary Paper Award, 2021
• Finalist, INFORMS 2021 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 2017 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