Sima Sajjadiani

Sima Sajjadiani is an Assistant Professor at The University of British Columbia, Sauder School of Business, within the Organizational Behaviour and Human Resources Division. Her research focuses on employee selection, employee turnover, HR analytics, incentives design, and the application of machine learning in human resource management. She teaches courses such as Managing the Employment Relationship and People Analytics in the BCom program. Her work includes publications in top journals such as the Journal of Applied Psychology and Personnel Psychology. Her research explores topics like the dynamics of high-quality human capital outflows and the use of machine learning to predict performance and turnover.

Sima Sajjadiani is a researcher at the University of British Columbia, Sauder School of Business, focusing on People Analytics, Strategic HR, Turnover, Employee Selection, and Compensation and Incentives. Her work explores how machine learning and data science can enhance human resource practices, particularly in predicting employee performance and turnover. She investigates the dynamics of high-quality human capital outflows and the impact of bonus pools on organizational outcomes. Her research also examines the social processes of coping with work-related stressors and the role of AI-human collaboration in performance assessments. Sajjadiani's studies highlight the importance of organizational context and staffing events in shaping work outcomes.