A hybrid approach of intelligent systems to help predict absenteeism at work in companies
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AI can forecast absenteeism.
“to forecast absenteeism (Araujo et al., 2019)”
From Unlocking the value of artificial intelligence in human resource management through AI capability framework (2023) · cites this paper as Araujo et al., 2019
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Cited by
Sorted by citations
Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023) · Human Resource Management Review · doi:10.1016/j.hrmr.2022.100899 · Cited by 927 · see citing works
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- Authors
- Araujo, V. S., Rezende, T. S., Guimarães, A. J., Araujo, V. J. S., & de Campos Souza, P. V.
- Affiliations
- Centro Universitário Una (BR)
- Corresponding author
- Rezende, Thiago S.
- Guimarães, Augusto J.
- Venue
- SN Applied Sciences
- Published
- 2019-05-07
- Volume
- 1
- Issue
- 6
- ISSN
- 2523-3963 (ISSN-L)
- 2523-3971
- OpenAlex
- W2944801159
- Semantic Scholar
- eab55662f1c816061c1af938251a5fd593d48163
- Cited by
- 25
- References
- 73
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2 · 2022: 6 · 2021: 4 · 2020: 8 · 2019: 2
- FWCI
- 7.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- SN Applied Sciences (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
- Keywords
- absenteeism prediction, fuzzy set theory, artificial neural networks, employee absence, intelligent decision support system
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