A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review
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Cites
Prediction of Employee Turnover in Organizations using Machine Learning Algorithms
Punnoose, R., & Ajit, P. (2016) · International Journal of Advanced Research in Artificial Intelligence · doi:10.14569/ijarai.2016.050904 · Cited by 244 · see citing works
Ferreira‐Mello, R., André, M., Pinheiro, A., Costa, E., & Romero, C. (2019) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1332 · Cited by 193 · see citing works
Chowdhury, S., Joel-Edgar, S., Dey, P. K., Bhattacharya, S., & Kharlamov, A. (2023) · The International Journal of Human Resource Management · doi:10.1080/09585192.2022.2066981 · Cited by 140 · see citing works
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- Authors
- Akasheh, M. A., Malik, E. F., Hujran, O., & Zaki, N.
- Affiliations
- United Arab Emirates University (AE)
- Universiti Sains Malaysia (MY)
- Corresponding author
- Hujran, Omar
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2024-03
- Volume
- 238
- Pages
- 121794
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W4387267243
- Cited by
- 78
- References
- 3
- Citations by year
- 2026: 31 · 2025: 28 · 2024: 16 · 2023: 3
- FWCI
- 3.86
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Expert Systems with Applications (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- employee turnover prediction, machine learning, random forest, supervised learning, wages, overtime, employee retention, human resource management
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