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Skill Specificity on High-Skill Online Gig Platforms: Same as in Traditional Labour Markets?

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Title: Skill Specificity on High-Skill Online Gig Platforms: Same as in Traditional Labour Markets?
Authors: Slageren, Jaap van, Herrmann, Andrea M
Source: Social Forces. Jun2024, Vol. 102 Issue 4, p1332-1351. 20p.
Subjects: Labor market, Job performance, Gig economy, Home labor, Job skills
Abstract: Political economists and labour sociologists alike have studied how the skill specificity of workers can be explained, as it significantly affects workers' performance. However, the emergence of the gig economy may substantially change skill hiring and specificity in online labour markets because gig workers do not need formal educational credentials to offer their services. Instead, skills are "unbundled" from occupations, and platforms provide alternative ways to signal competencies, for example, via their rating and review systems. To shed light on the applicability of existing theories to explain the skill profiles of gig workers, we examine what predicts the skills hired in the online gig economy. Based on multilevel ordinal logistic regression analyses of 2336 gig worker profiles, we show that—as in traditional labour markets—gig workers with a vocational degree and longer online work experience are hired for more specific skills. However, national labour market institutions and educational systems affect the gig workers' skill specificity in the opposite direction than in traditional labour markets. Our findings thus suggest that online gig platforms allow workers to overcome restrictions imposed by national institutions as they are hired for those skills in the online gig economy that are institutionally less facilitated in their home labour markets. [ABSTRACT FROM AUTHOR]
Copyright of Social Forces is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Skill Specificity on High-Skill Online Gig Platforms: Same as in Traditional Labour Markets?
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  Data: <searchLink fieldCode="DE" term="%22Labor+market%22">Labor market</searchLink><br /><searchLink fieldCode="DE" term="%22Job+performance%22">Job performance</searchLink><br /><searchLink fieldCode="DE" term="%22Gig+economy%22">Gig economy</searchLink><br /><searchLink fieldCode="DE" term="%22Home+labor%22">Home labor</searchLink><br /><searchLink fieldCode="DE" term="%22Job+skills%22">Job skills</searchLink>
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  Data: Political economists and labour sociologists alike have studied how the skill specificity of workers can be explained, as it significantly affects workers' performance. However, the emergence of the gig economy may substantially change skill hiring and specificity in online labour markets because gig workers do not need formal educational credentials to offer their services. Instead, skills are "unbundled" from occupations, and platforms provide alternative ways to signal competencies, for example, via their rating and review systems. To shed light on the applicability of existing theories to explain the skill profiles of gig workers, we examine what predicts the skills hired in the online gig economy. Based on multilevel ordinal logistic regression analyses of 2336 gig worker profiles, we show that—as in traditional labour markets—gig workers with a vocational degree and longer online work experience are hired for more specific skills. However, national labour market institutions and educational systems affect the gig workers' skill specificity in the opposite direction than in traditional labour markets. Our findings thus suggest that online gig platforms allow workers to overcome restrictions imposed by national institutions as they are hired for those skills in the online gig economy that are institutionally less facilitated in their home labour markets. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Social Forces is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1093/sf/soad153
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      – SubjectFull: Gig economy
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      – SubjectFull: Home labor
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              Text: Jun2024
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