The Influence of Algorithmic Control on Gig Drivers’ Coping Behavior in Ride-Hailing Platforms

The use of algorithmic control is commonplace in gig economy platforms. Algorithms may direct, evaluate, or discipline gig workers to enforce their compliance, or conversely, trigger their reactance. This paper explores the impact of algorithmic control on ride-hailing drivers’ coping behavior. Based on the legitimacy process model, we develop a research model that links perceived algorithmic control to gig drivers’ compliance and workaround behaviors. Using survey data from 197 ride-hailing drivers, we find that perceived algorithmic control positively affects fairness and privacy judgment. Fairness judgment has a positive impact on compliance behavior, and privacy judgment has a negative impact on workaround behavior. The paper discusses theoretical and practical implications.