Understanding Job Satisfaction of Crowd Workers: An Empirical Analysis of Its Determinants and Effects
Journal
Multikonferenz Wirtschaftsinformatik (MKWI)
Type
conference paper
Date Issued
2018
Author(s)
Research Team
Crowdsourcing, CCC, IWI6
Abstract
Crowd work has emerged as new pattern of digitally mediated collaboration. In this paper, we focus on the determinants and effects of crowd workers’ job satisfaction – a perspective that has been largely neglected by current crowdsourcing research. We report results from a survey of 161 crowd workers participating in crowdsourced software testing. Our research shows that job satisfaction mediates the effects of monetary rewards, hedonic value, and cognitive stimulation on the intention to participate in future testing tasks. By contrast, factors of work context (i.e., flexibility and provided information) have no effects. We contribute to the literature by unraveling job satisfaction as causal mechanism influencing future participation. For practice, our results help to design more effective tasks in crowd work.
Language
English
Keywords
Crowd Work
Crowdsourcing
Job Satisfaction
Motivation
HSG Classification
contribution to scientific community
Event Title
Multikonferenz Wirtschaftsinformatik (MKWI)
Event Location
Lüneburg, Germany
Event Date
06.03.2018
Division(s)
Eprints ID
253168
File(s)![Thumbnail Image]()
Name
JML_680.pdf
Size
372.08 KB
Format
Adobe PDF
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