Sima Sajjadiani
Sima Sajjadiani
University of British Columbia, Sauder School of Business
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Using machine learning to translate applicant work history into predictors of performance and turnover.
S Sajjadiani, AJ Sojourner, JD Kammeyer-Mueller, E Mykerezi
Journal of Applied Psychology 104 (10), 1207, 2019
Are bonus pools driven by their incentive effects? Evidence from fluctuations in gainsharing incentives
AM Benson, S Sajjadiani
ILR Review 71 (3), 567-599, 2018
The social process of coping with work‐related stressors online: A machine learning and interpretive data science approach
S Sajjadiani, MA Daniels, HC Huang
Personnel Psychology, 2022
From Individual to Society: A Multi-Level Model for Diversity Training Reaction
J Li, S Sajjadiani
Academy of Management Proceedings 2022 (1), 13745, 2022
Online Social Coping with Work-Related Stressors During COVID-19
S Sajjadiani, M Daniels, HC Huang
Academy of Management Proceedings 2022 (1), 15475, 2022
Pandemic Work: Developing a Computational Grounded Theory of Exogenous Category Shocks
S Sajjadiani, MD Seidel, A Shiva
Academy of Management Proceedings 2021 (1), 12818, 2021
Organizational Context, Staffing Events, and Work Outcomes: A Dynamic Analysis Approach
S Sajjadiani, J Kammeyer-Mueller, AM Benson
Academy of Management Proceedings 2019 (1), 13446, 2019
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