Predicting employee turnover using personality assessment: a data-driven approach

Predicting employee turnover using personality assessment: a data-driven approach (2025)

Authors:
Autor USP: MAZO, REYNOLD NAVARRO - ICMC
Unidade: ICMC
DOI: 10.5220/0013436400003929
Subjects: APRENDIZADO COMPUTACIONAL; RECURSOS HUMANOS
Keywords: Employee Turnover; Predictive Analytic; Behavioral Profiling; PACE Framework
Language: Inglês
Objetivos de Desenvolvimento Sustentável (ODS):
- 08. Trabalho decente e crescimento econômico
Imprenta:
- Publisher: SciTePress
- Publisher place: Setúbal
- Date published: 2025
Source:
- Título: Proceedings
- ISSN: 2184-4992
Conference titles: International Conference on Enterprise Information Systems - ICEIS

Informações sobre o DOI: 10.5220/0013436400003929 (Fonte: oaDOI API)

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ABNT

MAZO, Reynold Navarro et al. Predicting employee turnover using personality assessment: a data-driven approach. 2025, Anais.. Setúbal: SciTePress, 2025. Disponível em: https://doi.org/10.5220/0013436400003929. Acesso em: 28 jan. 2026.
APA

Mazo, R. N., Nogueira Júnior, M. P., Quadros, A. R. S. de, Vieira, A., & Brandão, W. C. (2025). Predicting employee turnover using personality assessment: a data-driven approach. In Proceedings. Setúbal: SciTePress. doi:10.5220/0013436400003929
NLM

Mazo RN, Nogueira Júnior MP, Quadros ARS de, Vieira A, Brandão WC. Predicting employee turnover using personality assessment: a data-driven approach [Internet]. Proceedings. 2025 ;[citado 2026 jan. 28 ] Available from: https://doi.org/10.5220/0013436400003929
Vancouver

Mazo RN, Nogueira Júnior MP, Quadros ARS de, Vieira A, Brandão WC. Predicting employee turnover using personality assessment: a data-driven approach [Internet]. Proceedings. 2025 ;[citado 2026 jan. 28 ] Available from: https://doi.org/10.5220/0013436400003929