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Algorithmic Control in the Gig Economy: Power Reconfiguration, Labor Plight, and Management Implications

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DOI: 10.23977/acccm.2025.070309 | Downloads: 22 | Views: 331

Author(s)

Wenkang Luo 1

Affiliation(s)

1 School of Business Administration, Guizhou University of Finance and Economics, 550025, Guiyang, Guizhou, China

Corresponding Author

Wenkang Luo

ABSTRACT

The global expansion of the gig economy, coupled with the deep integration of algorithmic control, has reshaped the labor governance paradigm. This research reveals how algorithms, through mechanisms like dynamic pricing, behavior scoring, and risk transfer, reconstruct the power relations between labor and capital while enhancing platform efficiency. Workers experience an "autonomy paradox," caught by algorithmic black boxes, data surveillance, and systemic exclusion; while superficially enjoying flexibility, they effectively suffer the erosion of their health and rights. The study critically argues that algorithmic control is essentially digital Taylorism masked by "technological empowerment," with its core controversy stemming from the conflict between technological determinism and human-centric values. The article proposes algorithmic transparency, worker participatory governance, and an interdisciplinary research framework to provide a theoretical basis for balancing efficiency logic and labor protection. Future research should examine the disruptive impact of emerging technologies such as Generative AI and the Metaverse on the control models within the gig economy.

KEYWORDS

Gig economy, Algorithmic control, Digital Taylorism, Algorithmic governance

CITE THIS PAPER

Wenkang Luo, Algorithmic Control in the Gig Economy: Power Reconfiguration, Labor Plight, and Management Implications. Accounting and Corporate Management (2025) Vol. 7: 67-72. DOI: http://dx.doi.org/10.23977/acccm.2025.070309.

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