Sima Sajjadiani
BSc. (K. N. Toosi University of Technology), MBA (University of Tehran), MA (University of Minnesota), PhD (University of Minnesota)
Assistant Professor, Organizational Behaviour and Human Resources Division
Selected publications
- Sajjadiani, S., Daniels, M, & Huang, B. (2024). The Social Process of Coping with Work-Related Stressors Online: A Machine Learning and Interpretive Data Science Approach. Personnel Psychology. 77 (2), 321-373. https://onlinelibrary.wiley.com/doi/10.1111/peps.12538
- Sajjadiani, S., Kammeyer-Mueller, J.D., Benson, A. (2023). Who is leaving and Why? The Dynamics of High-Quality Human Capital Outflows, Academy of Management Journal. 66 (6), 1929-1953.
- Sajjadiani, S., Sojourner, A.J., Kammeyer-Mueller, J.D., Mykerezi, E. (2019). Using machine learning to translate applicant work history into predictors of performance and turnover. Journal of Applied Psychology, 104(10), 1207–1225. http://dx.doi.org/10.1037/apl0000405
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Benson, A., & Sajjadiani, S. (2018). Are Bonus Pools Driven by their Incentive Effects?: Evidence from Fluctuations in Gainsharing Incentives. Industrial and Labor Relations Review, 71(3), 567-599.