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Unpaid labour and territorial extraction in digital value networks
Author(s) -
Howson Kelle,
Johnston Hannah,
Cole Matthew,
Ferrari Fabian,
UstekSpilda Funda,
Graham Mark
Publication year - 2023
Publication title -
global networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.685
H-Index - 65
eISSN - 1471-0374
pISSN - 1470-2266
DOI - 10.1111/glob.12407
Subject(s) - value (mathematics) , flexibility (engineering) , division of labour , work (physics) , economics , business , industrial organization , labour economics , market economy , engineering , computer science , management , mechanical engineering , machine learning
Production in knowledge and data‐intensive industries is powered by work that can, in theory, be done from anywhere, via cloudwork platforms. Cloudwork platforms govern data value chains in distinct ways to concentrate power and extract value at the global scale. We argue that unpaid labour is a systemic mechanism of accumulation in these digital value networks. In this paper we demonstrate how it is tied to platform business models and facilitated by elements of platform governance including monopsony power, a high degree of spatial flexibility in sourcing labour, regulatory unaccountability and digital enclosure. We draw on a survey of 699 workers on 14 platforms in 74 countries to show that unpaid labour is an engine of South–North value extraction, and workers in the global South perform more unpaid labour than counterparts in the global North. Our findings have important ramifications our understanding of the changing international division of labour and platform capitalism.