Crowd work in STEM-related fields: A window of opportunity from a gender perspective?

After the Global Financial Crisis (2008) many people found new job opportunities on crowd platforms. The COVID-19 crisis reinforced this trend and virtual work is expected to increase. Although the working conditions of individuals engaged on these platforms is an emerging topic, of research, the ex...

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Detalhes bibliográficos
Autores: Petroff, Alisa, Fierro, Jaime
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Recursos:Universitat Oberta de Catalunya (UOC)
Repositorio:O2, repositorio institucional de la UOC
OAI Identifier:oai:openaccess.uoc.edu:10609/148734
Acesso em linha:http://hdl.handle.net/10609/148734
Access Level:acceso abierto
Palavra-chave:crowd work
digital platforms
gender pay gap
gig economy
STEM skills
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spelling Crowd work in STEM-related fields: A window of opportunity from a gender perspective?Petroff, AlisaFierro, Jaimecrowd workdigital platformsgender pay gapgig economySTEM skillsAfter the Global Financial Crisis (2008) many people found new job opportunities on crowd platforms. The COVID-19 crisis reinforced this trend and virtual work is expected to increase. Although the working conditions of individuals engaged on these platforms is an emerging topic, of research, the existing literature tends to overlook the gendered dimension of the gig economy. Following a quantitative approach, based on the statistical analysis of 444 profiles (platform Freelancer.com in Spain and Argentina), we exam-ine the extent to which the gig economy reproduces gender inequalities such as the underrepresentation of women in STEM-related tasks and the gender pay gap.While the findings reveal lower participation of women than men, this gap is not higher in Argentina than in Spain. Moreo-ver, gender variations in hourly wages are not as marked as expected, and such differences disappear once STEM skill levels are controlled for. Asymmetry in individuals' STEM skill level provides a better explanation than gender of the hourly wage differences. This finding opens a window of opportunity to mitigate the classical gender discrimination that women face in technological fields in traditional labor markets. Finally, the paper identifies some issues concerning the methodological bias entailed by the use of an application programming interface in cyber-research, when analyzing gender inequalities.Wiley & Co202320232022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10609/148734reponame:O2, repositorio institucional de la UOCinstname:Universitat Oberta de Catalunya (UOC)InglésSociology Compass, 17(3), e13058CC BYhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:openaccess.uoc.edu:10609/1487342026-05-28T12:42:01Z
dc.title.none.fl_str_mv Crowd work in STEM-related fields: A window of opportunity from a gender perspective?
title Crowd work in STEM-related fields: A window of opportunity from a gender perspective?
spellingShingle Crowd work in STEM-related fields: A window of opportunity from a gender perspective?
Petroff, Alisa
crowd work
digital platforms
gender pay gap
gig economy
STEM skills
title_short Crowd work in STEM-related fields: A window of opportunity from a gender perspective?
title_full Crowd work in STEM-related fields: A window of opportunity from a gender perspective?
title_fullStr Crowd work in STEM-related fields: A window of opportunity from a gender perspective?
title_full_unstemmed Crowd work in STEM-related fields: A window of opportunity from a gender perspective?
title_sort Crowd work in STEM-related fields: A window of opportunity from a gender perspective?
dc.creator.none.fl_str_mv Petroff, Alisa
Fierro, Jaime
author Petroff, Alisa
author_facet Petroff, Alisa
Fierro, Jaime
author_role author
author2 Fierro, Jaime
author2_role author
dc.subject.none.fl_str_mv crowd work
digital platforms
gender pay gap
gig economy
STEM skills
topic crowd work
digital platforms
gender pay gap
gig economy
STEM skills
description After the Global Financial Crisis (2008) many people found new job opportunities on crowd platforms. The COVID-19 crisis reinforced this trend and virtual work is expected to increase. Although the working conditions of individuals engaged on these platforms is an emerging topic, of research, the existing literature tends to overlook the gendered dimension of the gig economy. Following a quantitative approach, based on the statistical analysis of 444 profiles (platform Freelancer.com in Spain and Argentina), we exam-ine the extent to which the gig economy reproduces gender inequalities such as the underrepresentation of women in STEM-related tasks and the gender pay gap.While the findings reveal lower participation of women than men, this gap is not higher in Argentina than in Spain. Moreo-ver, gender variations in hourly wages are not as marked as expected, and such differences disappear once STEM skill levels are controlled for. Asymmetry in individuals' STEM skill level provides a better explanation than gender of the hourly wage differences. This finding opens a window of opportunity to mitigate the classical gender discrimination that women face in technological fields in traditional labor markets. Finally, the paper identifies some issues concerning the methodological bias entailed by the use of an application programming interface in cyber-research, when analyzing gender inequalities.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10609/148734
url http://hdl.handle.net/10609/148734
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sociology Compass, 17(3), e13058
dc.rights.none.fl_str_mv CC BY
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv CC BY
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley & Co
publisher.none.fl_str_mv Wiley & Co
dc.source.none.fl_str_mv reponame:O2, repositorio institucional de la UOC
instname:Universitat Oberta de Catalunya (UOC)
instname_str Universitat Oberta de Catalunya (UOC)
reponame_str O2, repositorio institucional de la UOC
collection O2, repositorio institucional de la UOC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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