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Brazilian sugarcane agro-industry human resources’ management: strategies to increase work intensity
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Abstract: The sugarcane agro-industry complex of São Paulo State, Brazil, has undergone significant technical and organizational changes over the last two decades. The harvest mechanization process increased the work productivity and reduced drastically the workforce employed in the sector, requiring modern human resources practices to manage work in this new technical basis. The objective of this study is to analyse how the São Paulo state sugarcane complex human resources management (HRM) practices can increase the work intensity in agricultural production. The primary data of this study was obtained with a questionnaire applied to 38 HR managers of sugarcane companies and with 18 semi-structured interviews to the sector workers and managers. The payment based on production is a traditional HRM strategy in the sector to increase productivity, and its efficiency is conditioned to the capacity of the managers to recruit and control the workforce. Therefore, in this article, the analysis focused on payment, recruitment and training programmes. Data analysis indicate that, generally, the HRM practices logic is to reward workers with higher productivity levels and punish those who flee from behavior patterns and commit deviations of quality. Even so, the heterogeneity HRM structure in sugarcane agro-industry is evident, since companies with different types of management have specific priorities. The central conclusion is that the work intensification still can be an issue in sugarcane agro-industrial complex as the variable remuneration is used to punish and reward workers based on quality and productivity indicators. The effects of this intensification process for machine operators health must be analyzed in further researches.
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Campos-Naval, J. E., Castañeda-López, V. A., & Aparicio-Ballena, J. A. (2025) · Proceedings of the 23rd LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI): "Engineering, Artificial Intelligence, and Sustainable Technologies in service of society" · doi:10.18687/laccei2025.1.1.802
Metadata
- Authors
- Reis, L. F., & Alves, F. J. D. C.
- Affiliations
- Universidade Federal de Itajubá (BR)
- Universidade Federal de São Carlos (BR)
- Venue
- Gestão & Produção
- Publisher
- FapUNIFESP (SciELO)
- Published
- 2020
- Volume
- 27
- Issue
- 2
- ISSN
- 0104-530X (ISSN-L)
- 1806-9649
- OpenAlex
- W3035097539
- Cited by
- 6
- References
- 0
- Citations by year
- 2025: 2 · 2023: 2 · 2021: 2
- FWCI
- 1.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Gestão & Produção (publishedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Topics
- Social Sciences › Business, Management and Accounting › Industrial relations › Employment, Labor, and Gender Studies
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Management Theory and Practice
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Human Resource and Talent Management
- Keywords
- human resource management, work intensity, work intensification, performance-based pay, productivity, personnel selection, employee training, harvest mechanization, agricultural labor, employee health
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