Platform algorithmic control and work outcomes of food delivery employees

Algorithmic labor control increasingly reshapes the service industry. Drawing from the challenge-hindrance stressor framework, this research shows following results. (1) Algorithmic labor control demonstrates meticulous internal structure which can be categorized as constraining algorithmic control and incentive algorithmic control. (2) Constrained algorithmic control and incentive algorithmic control can further contribute to the emergence of challenge stressors and hindrance stressors through algorithmic perception and the job crafting behaviors of riders. (3) Challenge-Hindrance Stressors exert a ‘double-edged sword’ effect on the job engagement of delivery riders; however, both challenge stressors and hindrance stressors can result in excessive physical and psychological strain, ultimately compromising their mental health. This study contributes to literatures by providing a fine-grained internal structure of algorithmic labor control among food delivery riders. This study offers theoretical support for improving food delivery riders’ well-being and organizational management of benign algorithmic control in the digital age.