Abstract
This article examines the evolving work landscape in the context of technological advancements, addressing a significant gap in understanding the foundational principles of algorithmic management. Employing labor process theory (LPT), this study focuses on power dynamics and control mechanisms within algorithmic management systems in platform-mediated work settings. By exploring managerial aspects such as task assignment, work organization, monitoring, surveillance, and performance evaluation under algorithmic management, this research utilizes LPT to meticulously explore the social relations of production, technological deskilling, division of labor, potential alienation and exploitation, and complex dynamics of control and resistance in the gig economy. By emphasizing the pivotal role of algorithms, this study reveals their influence on shaping the structural aspects of the gig economy, highlighting the intricate interplay between technological advancements and fundamental labor processes. This work also contributes to a deeper understanding of contemporary work dynamics by offering valuable insights into the evolving intersection of technology and labor in the modern workplace.
Published Version
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