Unfairness by Design? The Perceived Fairness of Digital Labor on Crowdworking Platforms
Based on a qualitative survey among 203 US workers active on the microwork platform Amazon Mechanical Turk, we analyze potential biases embedded in the institutional setting provided by on-demand crowdworking platforms and their effect on perceived workplace fairness. We explore the triadic relation...
| Authors: | ; ; |
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| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | Drawer...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Published: |
Springer
2019
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| In: |
Journal of business ethics
Year: 2019, Volume: 156, Issue: 4, Pages: 987-1005 |
| Further subjects: | B
Crowdsourcing
B Microwork B Digital labor B Amazon Mechanical Turk B Fair play B Internet B Crowdworking |
| Online Access: |
Volltext (lizenzpflichtig) |
| Summary: | Based on a qualitative survey among 203 US workers active on the microwork platform Amazon Mechanical Turk, we analyze potential biases embedded in the institutional setting provided by on-demand crowdworking platforms and their effect on perceived workplace fairness. We explore the triadic relationship between employers, workers, and platform providers, focusing on the power of platform providers to design settings and processes that affect workers’ fairness perceptions. Our focus is on workers’ awareness of the new institutional setting, frames applied to the mediating platform, and a differentiated analysis of distinct fairness dimensions. |
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| ISSN: | 1573-0697 |
| Contains: | Enthalten in: Journal of business ethics
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| Persistent identifiers: | DOI: 10.1007/s10551-017-3607-2 |