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      Platform-Capital’s ‘App-etite’ for Control: A Labour Process Analysis of Food-Delivery Work in Australia

      1 , 2 , 3
      Work, Employment and Society
      SAGE Publications

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          Most cited references30

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          Labor and Monopoly Capital

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            Is Open Access

            Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy

            This article evaluates the job quality of work in the remote gig economy. Such work consists of the remote provision of a wide variety of digital services mediated by online labour platforms. Focusing on workers in Southeast Asia and Sub-Saharan Africa, the article draws on semi-structured interviews in six countries (N = 107) and a cross-regional survey (N = 679) to detail the manner in which remote gig work is shaped by platform-based algorithmic control. Despite varying country contexts and types of work, we show that algorithmic control is central to the operation of online labour platforms. Algorithmic management techniques tend to offer workers high levels of flexibility, autonomy, task variety and complexity. However, these mechanisms of control can also result in low pay, social isolation, working unsocial and irregular hours, overwork, sleep deprivation and exhaustion.
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              Labour process theory and the gig economy

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                Author and article information

                Journal
                Work, Employment and Society
                Work, Employment and Society
                SAGE Publications
                0950-0170
                1469-8722
                March 25 2019
                March 25 2019
                : 095001701983691
                Affiliations
                [1 ]The University of Sydney, Australia
                [2 ]Edith Cowan University, Australia
                [3 ]University of Western Australia, Australia
                Article
                10.1177/0950017019836911
                c693276f-fd78-4d5f-9365-a7ec2180f26b
                © 2019

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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