Jeunghyun Kim's homepage

Papers 

Appeared

• Jeunghyun Kim and Amy R. Ward (2013), Dynamic Scheduling of a GI/GI/1+GI Queue with Multiple Customer Classes, Queueing Systems, 75 (2-4) 339-384.

• Jeunghyun Kim and Ramandeep S. Randhawa (2018), The Value of Dynamic Pricing in Large Queueing Systems. Operations Research, 66 (2) 409-425.

• Jeunghyun Kim, Ramandeep S. Randhawa, and Amy R. Ward (2018), Dynamic Scheduling in a Many-Server Multi-Class System: the Role of Customer Impatience in Large Systems, Manufacturing & Service Operations Management, 20 (2) 285-301.

• Nitin Bakshi, Jeunghyun Kim, and Ramandeep S. Randhawa (2024), Service Operations for Justice-On-Time: A Data-Driven Queueing Approach, Manufacturing & Service Operations Management, 27 (1) 305-321.

Working Papers

• Travis Tae Oh and Jeunghyun Kim (2022), Influence of Livestreaming Viewership on the Life Cycle of Entertainment Products: Evidence from Twitch and Steam, Working Paper. 

• Jeunghyun Kim, Chihoon Lee, and Dongyuan Zhan (2025), An Explore-Then-Commit Strategy for Revenue Management via Sequential Estimation, Major revision, EJOR.

• Jeunghyun Kim, Laurens Debo, and Robert A. Shumsky (2025), Information Sharing to Optimize the Wait-Time Experience, Submitted.

Working Experiences (Focus: Data Analytics)

• Samsung Electronics (2018~2020), Suwon, Korea

  • Digital marketing

  • Smartphone sellout prediction

  • User profiling

• Moody's Analytics (2016~2018), New York, NY

  • Credit risk modeling

Teaching

• Introduction to Operations Management (BUSS 211), Korea University

• Principles of Business Analytics (BUS 927, BUS 928), Korea University

• Business Statistics (BUSS 154), Korea University 

• Supply Chain & Logistics Management (KGM 510), Korea University

• Operations Management (BUAD 311), University of Southern California.

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