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Article . 2023
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EconStor
Article . 2023
License: CC BY
Data sources: EconStor
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IT Professionals in the Gig Economy.

Authors: Lisa Gussek; Manuel Wiesche;

IT Professionals in the Gig Economy.

Abstract

When IT work is performed through digital labor markets, IT professionals have a high degree of personal responsibility for their careers and must use appropriate strategies to be successful. This paper investigates the success of IT freelancers on digital labor platforms. Drawing on signaling theory, a dataset of 7166 IT freelancers is used to examine how activating, pointing, and supporting signals lead to success. Analysis was carried out using negative binomial regression. The results indicate that the three signaling types positively influence the objective career success of IT freelancers. This paper contributes to the literature by testing signaling theory in the new context of digital labor platforms, investigating IT specifics, and proposing support as a new type of signal for IT professionals on digital labor platforms. In practice, the results provide guidelines for IT freelancers to improve their success within their careers.

Keywords

Signaling theory, ddc:000, IT freelancer, IT work, Digital labor platforms, Gig economy, Career success

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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