Labor Self-Exploitation: A New Intersectional Categorization to Understand its Complexity

ABSTRACT : This study offers a comprehensive bibliometric analysis and systematic literature review of research on labor self-exploitation, with the objective of proposing an intersectional categorization capable of capturing the complexity of this phenomenon. Drawing on more than four decades of scientific production indexed in Scopus (1978–2024), the study identifies six predominant analytical approaches: economic theories, crisis and pandemic impacts, creative labor, gender studies, education and employability, and digitalization. The findings reveal that self-exploitation at work is not a homogeneous or purely individual phenomenon, but rather a multidimensional process shaped by the interaction of structural, cultural, and technological factors. Variables such as social class, gender, age, and migration status intersect to produce differentiated experiences of self-imposed work intensification, often legitimized by discourses of autonomy, vocation, and employability. Moreover, neoliberal rationalities and digital technologies particularly platform-based work, algorithmic management, and self-branding dynamics significantly intensify these processes by transferring risk and responsibility to workers. The study concludes that understanding labor self-exploitation requires integrative and intersectional theoretical frameworks that go beyond single-perspective explanations. It also highlights the need for labor and social policies that recognize both the structural conditions and the subjective dimensions of self-exploitation. The proposed intersectional categorization opens new analytical pathways for future research and supports the design of intervention strategies aimed at promoting fair, sustainable, and socially just working conditions

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-28
DOI
https://doi.org/10.5281/zenodo.18411257
Primary Topic
Digital Economy and Work Transformation
Type
article
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article

Labor Self-Exploitation: A New Intersectional Categorization to Understand its Complexity

José Bayona Soto, Genny Navarro Claro
Zenodo (CERN European Organization for Nuclear Research)
Digital Economy and Work Transformation
article

Labor Self-Exploitation: A New Intersectional Categorization to Understand its Complexity

José Bayona Soto, Genny Navarro Claro
article en

Abstract

ABSTRACT : This study offers a comprehensive bibliometric analysis and systematic literature review of research on labor self-exploitation, with the objective of proposing an intersectional categorization capable of capturing the complexity of this phenomenon. Drawing on more than four decades of scientific production indexed in Scopus (1978–2024), the study identifies six predominant analytical approaches: economic theories, crisis and pandemic impacts, creative labor, gender studies, education and employability, and digitalization. The findings reveal that self-exploitation at work is not a homogeneous or purely individual phenomenon, but rather a multidimensional process shaped by the interaction of structural, cultural, and technological factors. Variables such as social class, gender, age, and migration status intersect to produce differentiated experiences of self-imposed work intensification, often legitimized by discourses of autonomy, vocation, and employability. Moreover, neoliberal rationalities and digital technologies particularly platform-based work, algorithmic management, and self-branding dynamics significantly intensify these processes by transferring risk and responsibility to workers. The study concludes that understanding labor self-exploitation requires integrative and intersectional theoretical frameworks that go beyond single-perspective explanations. It also highlights the need for labor and social policies that recognize both the structural conditions and the subjective dimensions of self-exploitation. The proposed intersectional categorization opens new analytical pathways for future research and supports the design of intervention strategies aimed at promoting fair, sustainable, and socially just working conditions

Zenodo (CERN European Organization for Nuclear Research)
Francisco de Paula Santander University (CO)
Gender equality
Openalex Percentile: Top 77%
Digital Economy and Work Transformation
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