People
Minjeong Seo
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Doctoral Student, HRD
Minjeong Seo is a doctoral student in the Human Resource Development program at the University of Minnesota-Twin Cities' Department of Organizational Leadership, Policy, and Development.
- M.A., Human Resource Development Policy, Sookmyung Women’s University, 2020
- B.A., Business Administration and Human Resource Development, Sookmyung Women’s University, 2018
- Emerging Technology in HRD
- Research Methodology in HRD
- Employee well-being
- Organizational Training and Development
- Career Development
My scholarly mission is to advance theory and practice in HRD. I hold a B.A. in Business Administration and HRD and an M.A. in HRD Policy from Sookmyung Women’s University in South Korea. During and after my graduate training, I worked on HRD- and workforce-related research projects with national institutions and research institutes, including studies on vocational education and workforce development programs. These experiences inform my current work as a Ph.D. student in HRD at the University of Minnesota. My research examines how technology-enabled HRD practices can support employee learning, development, and engagement at both individual and organizational levels.
- Best Paper Award from KAHRDA in the AHRD, Arlington, VA, 2025
- Camille S. Wall Endowed Fellowship, Minneapolis, MN, 2024
- The Alan Moon Memorial Prize Shortlisted in the UFHRD, Dublin, Ireland, 2023
- Mary Corcoran Endowed Fellowship in Evaluation and Policy Studies, Minneapolis, MN, 2023
- Organizational Relation Data Analysis Award in the Korea ESG Institute, Seoul, Korea, 2022
- The National Research Foundation Program Grant, Ministry of Education, Korea, 2019
- OLPD 3308 - Data-Driven Decision-Making in BME and HRD
Seo, M., & Lee, S. (2026). The Effect of Adhocracy Culture, Burnout, and Generation on Job Satisfaction: A Moderated Mediation Analysis, Evidence-based HRM: a global forum for empirical scholarship.
Seo, M., Lee, H., & Kim, S. (2025). Using machine learning in HRD research: applications to advance AI-driven organizational analytics. Human Resource Development International, 29(1), 123-146.
Seo, M., Lee, Y., & Park, H. (2020). Why do the late middle-aged choose self-employment?: determinants of self-employment at older ages. International Journal of Economic Policy, 13(4), 365-372.
Seo, M., Lee, S., & Yoon, S. (2026, February). Uncovering the Dynamics of Informal Learning: A Machine Learning Approach with Tree-Based Models [Conference presentation]. AHRD 2026 Conference, Irving, TX, United States.
Seo, M. & Kim, S. (2026, February). What Shapes Organizational Competitiveness? Exploring Multidimensional Determinants and Temporal Effect Using an AI-Powered Model [Conference presentation]. AHRD 2026 Conference, Irving, TX, United States.
Seo, M., Lee, H., & Kim, S. (2025, February). Organizational Analytics Using Machine Learning in Human Resource Development [Conference presentation]. CEHD Research & Innovation Day 2025, Minneapolis, MN, United States.
Seo, M., Lee, H., & Kim, S. (2025, February). AI-Powered HRD Analytics: A Machine Learning Approach to Understanding Organizational Dynamics [Conference presentation]. AHRD 2025 Conference, Arlington, VA, United States.
Seo, M. & Lee, S. (2025, February). The Effect of Adhocracy Culture and Burnout on Job Satisfaction: Moderated Mediation Effect of MZ Generation [Conference presentation]. AHRD 2025 Conference, Arlington, VA, United States.
Seo, M. & Kim, S. (2024, February). Organizational Commitment for MZ Generation in Korea: An Integrative Literature Review [Conference presentation]. AHRD 2024 Conference, Arlington, VA, United States.
Seo, M. & Kim, S. (2023, June). Informal online learning in the workplace: An Integrative Review of the Literature. Paper presented at the 23rd UFHRD Conference, Dublin, Ireland.
Seo, M., Kim, S., & Lee, Y. (2023, March). A Comparative Study of Career Determination Levels and Career Preparation Behaviors of Female College Students in Cooperative Education [Conference presentation]. AHRD 2023 Conference, Minneapolis, MN, United States.
Seo, M., Lee, Y., & Park, H. (2019, May). An analysis of the factors affecting self-employment choices of the late middle-aged [Conference presentation]. The SIBR-Thammasat Conference on Interdisciplinary Business and Economics Research, Bangkok, Thailand.