Hanbo Shim

Dr. Hanbo Shim is an Assistant Professor in the Department of Management at The University of Texas at Arlington, College of Business. He holds a PhD in Industrial Relations and Human Resources from Rutgers University and a BA in Mathematics and Economics from the University of Illinois at Urbana-Champaign. His research and teaching focus on Human Resource Management, Organizational Behavior, and HR Analytics.

• PhD, Industrial Relations and Human Resources, Rutgers University (2022)
• MS, Industrial Relations and Human Resources, Rutgers University (2019)
• MA, Human Resource Management, Rutgers University (2016)
• BA, Mathematics and Economics, University of Illinois (2012)

Dr. Shim's research explores the temporal dynamics of employee performance, compensation systems, emotional intelligence, and social networks in organizations. He uses longitudinal analysis, multilevel modeling, meta-analysis, and computer simulation to examine how individual and interpersonal factors influence organizational outcomes. His work bridges HR analytics with behavioral science.

His recent publications span topics such as green HRM, pay policy dynamics, emotional intelligence, and HR analytics education. These works reflect a strong interdisciplinary approach integrating psychology, sustainability, data science, and strategic management. His research has been presented at leading conferences including the Academy of Management and European Reward Management Conference.

Award highlights include:

• Ralph Alexander Best Dissertation Award (2024)
• Innovative Teaching Award, Academy of Management HR Division (2022)
• Best Student Convention Paper Award (2020)
• Best Doctoral Conference Paper Award, Samsung Economic Research Institute (2020)

Dr. Shim actively advises students through capstone and honors projects and serves on PhD and graduate studies committees. He has collaborated with SL Corporation on HR analytics and developed open-source educational materials. His service includes editorial board membership for Compensation & Benefits Review and ad hoc reviewing for top journals.

He is also engaged in professional development workshops and public speaking, including for the Society for Human Resource Management at UTA. His lab and research activities emphasize simulation-based methods and real-world HR analytics applications.