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An empirical study of gig workers' continuance intention

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DOI: 10.23977/appep.2023.040807 | Downloads: 66 | Views: 690


Jiamei Qiao 1, Xiangyang Cheng 1


1 School of Business, Fuyang Normal University, Fuyang, 236037, China

Corresponding Author

Xiangyang Cheng


As a digital labour management practice under the gig economy, whether algorithmic control can stimulate gig workers' continuance intention is the key to testing the success of algorithm management. However, few studies have focused on the mechanism of the influence of gig workers' perceived algorithmic control on their persistence willingness. Based on an organisational behavioural perspective, this study empirically examines the mechanism and boundary conditions through which algorithmic rule affects the continuance intention of gig workers. By analysing data from 309 samples, we found that algorithmic control had a significant positive effect on the continuance intention of gig workers by positively influencing work meaning; algorithmic transparency positively moderated the relationship between algorithmic control and work telling. The results of this study highlight the importance of algorithmic control in promoting long-term organisational benefits.


Algorithmic control; Work meaning; Continuance intention; Algorithmic transparency


Jiamei Qiao, Xiangyang Cheng, An empirical study of gig workers' continuance intention. Applied & Educational Psychology (2023) Vol. 4: 45-55. DOI:


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