Su Runkun

Assistant Professor

Email:runkun661433@gmail.com

Research Areas:Artificial Intelligence; Work-family Interface

ACADEMIC EMPLOYMENT

2022 - Present      Assistant Professor of Business Administration, School of Business, Sun Yat-sen University

EDUCATION

2022                   Ph.D., Management and Organisation
                           National University of Singapore, Singapore   
                           Dissertation Title: Authentic Leadership and Followers’ Outcomes: A Resource Perspective 
                           Dissertation Committee: Remus Ilies (Advisor), Daniel McAllister, Kai Chi (Sam) Yam

 

2016                   M.S., Management Science and Engineering    
                           Sun Yat-Sen University, China
                                                  
2014                   B.S., Business Administration
                           South China University of Technology, China
              
2012 - 2013        International Exchange Program (Sponsored by Study Abroad Foundation)
                           American University, USA

RESEARCH INTERESTS

Artificial Intelligence; Work-family Interface

PUBLICATIONS (* DENOTES CORRESPONDING AUTHOR)

Matthews, M. J., Su, R.*, Yonish, L., McClean, S., Koopman, J., & Yam, K. C. (2025). A Review of Artificial Intelligence, Algorithms, and Robots Through the Lens of Stakeholder Theory. Journal of Management, 51(6), 2627-2676.
Yam, K. C.*, Tang, P., Jackson, J., Su, R.*, & Gray, K. (2023). The Rise of Robots Increases Job Insecurity and Maladaptive Workplace Behaviors: Multi-Method Evidence. Journal of Applied Psychology, 108(5), 850–870.
Pluut, H., Ilies, R., Su, R., Weng, Q., & Liang, A. X. (2022). How social stressors at work influence marital behaviors at home: An interpersonal model of work–family spillover. Journal of Occupational Health Psychology, 27(1), 74-88. 
Yam, K. C., Reynolds, S. J., Zhang, P., & Su, R. (2021). The unintended consequences of empowering leadership: Increased deviance for some followers. Journal of Business Ethics, 1-18. 
Landy, J. F., Jia, M., Ding, I. L., Viganola, D., Tierney, W., Dreber, A., . . . Su, R., . . . Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146(5), 451-479.