Algorithmic control and work frustration in crowdwork: A case of autonomy suppression and connectivity compulsion

Online crowdwork is often cited as a transformative force in the labor market, providing millions of individuals greater flexibility in selecting the timing and location of work. However, the algorithmic management practices on which online labor platforms rely are widely criticized for structuring work opportunities in ways that constrain the agency of individual workers. This research uses a two-wave survey of 590 European crowdworkers to examine the relationship between perceived algorithmic control and work frustration through autonomy and technological connectivity. The findings indicate how perceived algorithmic control affects crowdworkers’ emotions, intensifying frustration by eroding autonomy and making it difficult for workers to detach from the platform during work episodes. This research sheds light on the evolving aspects of algorithmic control in emerging work structures, providing insights that can shape theory and practices to promote sustainable work in the digital era.