Justice for the crowd: Organizational justice and turnover in crowd-based labor

Artikel

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 10 ; Year: 2020 ; Issue: 4 ; Pages: 1-37 ; Basel: MDPI

Classification and Topics

• Classification: Öffentliche Verwaltung
• Subject: crowd-based labor ; organizational justice ; compensation ; evaluation ; communication

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Song, Xiaochuan ; Lowman, Graham H. ; Harms, Peter
• Event: Veröffentlichung
• (who): MDPI
• (where): Basel
• (when): 2020

Further information

• DOI: doi:10.3390/admsci10040093
• Handle: http://hdl.handle.net/10419/240083
• Last update: 10.03.2025, 11:44 AM CET