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

Authors

Xiaochuan Song, Misericordia University
Graham H. Lowman, Kennesaw State University
Peter Harms, The University of Alabama

Department

Management and Entrepreneurship

Document Type

Article

Publication Date

12-1-2020

Abstract

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.

Journal Title

Administrative Sciences

Volume

10

Issue

4

Digital Object Identifier (DOI)

10.3390/admsci10040093