| Autor: |
Xiaochuan Song, Graham H. Lowman, Peter Harms |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Administrative Sciences, Vol 10, Iss 4, p 93 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2076-3387 |
| DOI: |
10.3390/admsci10040093 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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