Research on the Influence of Perceived Algorithmic Control on Gig Workers Well-being

Yan, Biaobin and Zhang, Xindan and Liu, Menghua (2024) Research on the Influence of Perceived Algorithmic Control on Gig Workers Well-being. In: Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15–17 March 2024, Changsha, China.

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Abstract

Advocating the humanized management of the platform, improving the satisfaction and well-being of gig works, and increasing their stability and platform stickiness are key issues for the healthy development of the gig economy. Based on the Job Demands-Resources Model, this paper discusses how percei

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 17:37
Last Modified: 16 Apr 2026 23:33
URI: http://eprints.eai.eu/id/eprint/49147

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