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 | 188 | 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 | 15 | 2018 |
Who Is Leaving and Why? The Dynamics of High-Quality Human Capital Outflows S Sajjadiani, J Kammeyer-Mueller, A Benson Academy of Management Journal 66 (6), 1929-1953, 2023 | 7 | 2023 |
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 77 (2), 321-373, 2024 | 5 | 2024 |
AI-Human Sequential Evaluation: Enhancing Performance Assessments through AI-Human Collaboration S Sajjadiani, D Van Jaarsveld, DD Walker, G Voiseux Academy of Management Proceedings 2024 (1), 15090, 2024 | | 2024 |
Online Social Coping with Work-Related Stressors During COVID-19 S Sajjadiani, M Daniels, HC Huang Academy of Management Proceedings 2022 (1), 15475, 2022 | | 2022 |
The Pandemic Work: Developing a Computational Grounded Theory of Exogenous Category Shocks S Sajjadiani, A Shiva, MD Seidel Academy of Management Proceedings 2021 (1), 12818, 2021 | | 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 | | 2019 |