Sima Sajjadiani
Assistant Professor at UBC Sauder School of Business-OBHR Division
University of British Columbia
Biography
I am an Assistant Professor in the Organizational Behaviour and Human Resources Division at the Sauder School of Business, University of British Columbia. My research interests include strategic human resource management (SHRM) and people analytics.
- Strategic HR
- People Analytics
- Turnover
- Employee Selection
- Performance Management
PhD in Business Administration
University of Minnesota
MA of Human Resources and Industrial Relations
University of Minnesota
MBA in Operations Management
University of Tehran
B.Sc. in Electrical Engineering
K.N. Toosi University of Technology
Research
My research examines how work and employment are shaped by HR practices, technological systems, and broader social and organizational dynamics. I study topics such as employee selection, performance evaluation, turnover, and workplace inequality, often using computational methods and field data.
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Who is leaving and why? the dynamics of high-quality human capital outflows.
Abstract This study proposes a unified, dynamic framework based on Turnover Event Theory (TET) to evaluate the effects of dismissals, layoff announcements, and voluntary turnover on subsequent work unit voluntary turnover.
The social process of coping with work‐related stressors online: A machine learning and interpretive data science approach
Abstract People are increasingly turning to social media and online forums like Reddit to cope with work-related concerns. Previous research suggests that how others respond can be an important determinant of the sharer’s affective and well-being outcomes.
Using machine learning to translate applicant work history into predictors of performance and turnover
Abstract: Work history information reflected in resumes and job application forms is commonly used to screen job applicants; however, there is little consensus as to how to systematically translate information about one’s work-related past into predictors of future work outcomes.
Are bonus pools driven by their incentive effects? Evidence from fluctuations in gainsharing incentives
Abstract Bonus pools, in which a worker’s realized bonus depends both on a worker’s share of the pool (which serves as the incentive) and on the size of the pool (which is largely outside of the worker’s control), are a common method for distributing incentive pay.
Teaching
Courses Taught
🎓 University of British Columbia
- COMM 324 - People Analytics
- COMM 203 - Managing the Employment Relationship
- COHR 303 - Strategic Staffing
- BA 550 - Business Immersion: People Analytics