The last decade has seen an increasing number of studies addressing the issue of labor inequality and workers’ marginalization in the domain of digital labor. Either focusing on the individual or the collective level, however, the majority of available research has failed to show how the micro- and the macro-levels of analysis may be connected. In an attempt to fill this gap, this study aims to shed light on the mechanisms through which the micro-level processes of managing digital work insecurity can transform into collective- and higher-level outcomes. We conducted qualitative inductive research focusing on 40 Brazilian online literary content creators. Based on Hirschman's (1970) exit-voice-loyalty perspective, our findings show that our informants first display loyalty to the rules of the game and to the gender, race and class stereotypes they are subject to. Then, as they become more “experts” they reconfigure their objectives thus turning to different forms of voice in an attempt to affect the macro-level field. Our study provides new theoretical insights on insecure work, especially in digital work, with a particular attention to vulnerable groups of workers – such as women and people of colour.

VOICES AGAINST INEQUALITIES: MULTI-LEVEL EVIDENCE FROM BRAZILIAN DIGITAL CONTENT CREATORS / Curzi, Ylenia; Reis, Rosana; Bolzani, Daniela. - (2022), pp. 1-40. (Intervento presentato al convegno Leading Digital Transformation tenutosi a Winterthur / Zurich, Switzerland nel 15-17 June 2022).

VOICES AGAINST INEQUALITIES: MULTI-LEVEL EVIDENCE FROM BRAZILIAN DIGITAL CONTENT CREATORS

Curzi, Ylenia;
2022

Abstract

The last decade has seen an increasing number of studies addressing the issue of labor inequality and workers’ marginalization in the domain of digital labor. Either focusing on the individual or the collective level, however, the majority of available research has failed to show how the micro- and the macro-levels of analysis may be connected. In an attempt to fill this gap, this study aims to shed light on the mechanisms through which the micro-level processes of managing digital work insecurity can transform into collective- and higher-level outcomes. We conducted qualitative inductive research focusing on 40 Brazilian online literary content creators. Based on Hirschman's (1970) exit-voice-loyalty perspective, our findings show that our informants first display loyalty to the rules of the game and to the gender, race and class stereotypes they are subject to. Then, as they become more “experts” they reconfigure their objectives thus turning to different forms of voice in an attempt to affect the macro-level field. Our study provides new theoretical insights on insecure work, especially in digital work, with a particular attention to vulnerable groups of workers – such as women and people of colour.
2022
giu-2022
Leading Digital Transformation
Winterthur / Zurich, Switzerland
15-17 June 2022
1
40
Curzi, Ylenia; Reis, Rosana; Bolzani, Daniela
Curzi, Ylenia; Reis, Rosana; Bolzani, Daniela
VOICES AGAINST INEQUALITIES: MULTI-LEVEL EVIDENCE FROM BRAZILIAN DIGITAL CONTENT CREATORS / Curzi, Ylenia; Reis, Rosana; Bolzani, Daniela. - (2022), pp. 1-40. (Intervento presentato al convegno Leading Digital Transformation tenutosi a Winterthur / Zurich, Switzerland nel 15-17 June 2022).
File in questo prodotto:
File Dimensione Formato  
EURAM FINAL_1877_Paper_0111015539.pdf

Accesso riservato

Tipologia: Versione pubblicata dall'editore
Dimensione 1.09 MB
Formato Adobe PDF
1.09 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1289644
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact