Justice for the Crowd: Organizational Justice and Turnover in Crowd-Based Labor

Xiaochuan Song, Graham H. Lowman, Peter Harms
2020 Administrative Sciences  
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
more » ... ionship 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.
doi:10.3390/admsci10040093 fatcat:ktbcifmhpbfitbdqis4x45etli