Artikel
Justice for the crowd: Organizational justice and turnover in crowd-based labor
Crowd-based labor has been widely implemented to solve human resource shortages cost-effectively and creatively. However, while investigations into the benefits of crowd-based labor for organizations exist, our understanding of how crowd-based labor practices influence crowd-based worker justice perceptions and worker turnover is notably underdeveloped. To address this issue, we review the extant literature concerning crowd-based labor platforms and propose a conceptual model detailing the relationship between justice perceptions and turnover within the crowd-based work context. Furthermore, we identify antecedents and moderators of justice perceptions that are specific to the crowd-based work context, as well as identify two forms of crowd-based turnover as a result of justice violations: requester and platform turnover. In doing so, we provide a novel conceptual model for advancing nascent research on crowd-based worker perceptions and turnover.
- Language
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Englisch
- Bibliographic citation
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Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 10 ; Year: 2020 ; Issue: 4 ; Pages: 1-37 ; Basel: MDPI
- Classification
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Öffentliche Verwaltung
- Subject
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crowd-based labor
organizational justice
compensation
evaluation
communication
- Event
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Geistige Schöpfung
- (who)
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Song, Xiaochuan
Lowman, Graham H.
Harms, Peter
- Event
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Veröffentlichung
- (who)
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MDPI
- (where)
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Basel
- (when)
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2020
- DOI
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doi:10.3390/admsci10040093
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Song, Xiaochuan
- Lowman, Graham H.
- Harms, Peter
- MDPI
Time of origin
- 2020