When flexible labour supply generates indeterminacy: integrated labour control in place-bound platform work

Labour platforms such as UBER, PeoplePerHour and Rappi have become a global phenomenon. Their business model is affecting global labour markets and disrupting service industries such as ride hailing, cognitive work and food delivery. Labour platforms not only rely on a flexible labour supply but are also at the forefront of utilising new technologies such as algorithms to control labour. For this reason, scholarly analyses of labour platforms are increasingly employing an integrated approach that accounts for the different layers of control intersecting at the point of production. Following such an approach, an ethnographic case study in platform food delivery was conducted, aided by semi-structured interviews and digital artifacts. This case study shows that algorithmic control is able to reduce effort indeterminacy but is less equipped to cope with indeterminacy of mobility induced by flexible labour supply. As such, algorithmic control was integrated with two additional control mechanisms: first, core workers were put into a position of controlling peripheral workers; and second, attempts were made to craft a community that offered strategic managerial avenues. Altogether, given the interplay between effort and mobility power, the study contributes to an understanding of technological control internal to social and institutional relations.