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Uber, on demand economy: asimmetrie informative e controllo dei lavoratori

Un paper di Alex Rosenblat, del Data & Society Research Institute, e Luke Stark, della New York University (NYU), fanno il punto sulla situazione del lavoro nella on demand economy a partire dall’esperienza di Uber. Il paper si intitola Uber’s Drivers: Information Asymmetries and Control in Dynamic Work ed è su Ssrn. Descrive il modo in cui Uber gestisce puntualmente i lavoratori e valuta l’asimmetria informativa come asimmetria di potere: la on demand economy non è un mercato libero delle prestazioni professionali, ma un ibrido che si configura come una situazione di dipendenza dei lavoratori dalla piattaforma.

This empirical study explores labor in the on-demand economy using the rideshare service Uber as a case study. By conducting sustained monitoring of online driver forums and interviewing Uber drivers, we explore worker experiences within the on-demand economy. We argue that Uber’s digitally and algorithmically mediated system of flexible employment builds new forms of surveillance and control into the experience of using the system, which result in asymmetries around information and power for workers. In Uber’s system, algorithms, CSRs, passengers, semiautomated performance evaluations, and the rating system all act as a combined substitute for direct managerial control over drivers, but distributed responsibility for remote worker management also exacerbates power asymmetries between Uber and its drivers. Our study of the Uber driver experience points to the need for greater attention to the role of platform disintermediation in shaping power relations and communications between employers and workers.


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Luca De Biase

Knowledge and happiness economy Media and information ecology