Perceived Organizational Support in the Face of Algorithmic Management: A Conceptual Model

Date
2020-01-07
Authors
Jabagi, Nura
Croteau, Anne-Marie
Audebrand, Luc
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Abstract
Organizational support theory proposes that employees develop global beliefs concerning the degree to which an organization values their contributions and cares about their well-being. These beliefs, known as perceived organizational support (POS), are related to a number of positive employee outcomes, including: job satisfaction, work effort, performance, etc. Three categories of POS antecedents have been recognized in the literature: perceived supervisor support; fairness of organizational procedures; and organizational rewards and job conditions. In this paper, we explore these antecedent categories in the gig-work context where organizations replace human managers with algorithmic management practices and data-driven procedures. In doing so, we develop a new conceptual model that centers on the role that a gig-organization’s algorithm plays in engendering POS by promoting perceptions of fairness and support, and by managing the provision of performance-based rewards. Contributions and future research avenues are discussed.
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Keywords
Crowdsourcing and Digital Workforce in the Gig Economy, algorithmic management, digital labor platforms, gig-economy, gig-work, perceived organizational support
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