Seokjun Youn

Assistant Professor of Management Information Systems

Seokjun Youn

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

Areas of Expertise

  • Healthcare operations and payment models
  • Capacity planning and scheduling in healthcare
  • Logistics optimization for food safety
  • Applied econometrics

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

Seokjun Youn joined the University of Arizona in Fall 2019 as an assistant professor after earning his PhD in Business Administration, specializing in Operations and Supply Chain Management, from Texas A&M University. To date, his research centers on healthcare operations and healthcare analytics. Applying both empirical and optimization methodologies, he investigates the operational drivers of healthcare delivery performance to understand the impact of public policies and technological innovations on the management of healthcare operations. In additional areas of distinction, he is also specialized in research on supply chain logistics and platform business models. He is a member of the Institute for Operations Research and the Management Sciences (INFORMS), the Production and Operations Management Society (POMS), the Decision Sciences Institute (DSI), and the Association for Information Systems (AIS). 

Courses

  • MIS 584 Big Data Technologies 

  • OSCM 471/571 Optimization and Decision Support Modeling for Business 

  • MIS 544 Healthcare Analytics 

Publications

  • “Planning and Scheduling in Healthcare for Better Care Coordination: Current Understanding, Trending Topics, and Future Opportunities,” Production and Operations Management (2022), Forthcoming (with H. N. Geismar and M. Pinedo). 
  • “Adaptive Capacity Planning for Ambulatory Surgery Centers,” Manufacturing & Service Operations Management (2022), Forthcoming (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

  • “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) 

Awards and Honors

  • 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 
  • Production and Operations Management Society (POMS) Emerging Scholars Program, 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 
  • Center for Management Innovations in Healthcare (CMIH) Research Grant, University of Arizona, 2020, 2021 
  • 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