2020
DOI: 10.1080/01442872.2020.1748264
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The problem of innovation in technoscientific capitalism: data rentiership and the policy implications of turning personal digital data into a private asset

Abstract: A spate of recent scandals concerning personal digital data illustrates the extent to which innovation and finance are thoroughly entangled with one another. The innovation-finance nexus is an example of an emerging dynamic in technoscientific capitalism in which innovation is increasingly driven by the pursuit of "economic rents". Unlike innovation that delivers new products, services, and markets, innovation as rentiership is defined by the extraction and capture of value through different modes of ownership… Show more

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Cited by 95 publications
(78 citation statements)
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“…For companies in various fields, behavioural data has become the most important asset to be monetized (Zuboff 2019). This is increasingly the case with digital learning platforms as well (Birch et al 2020). Datafication of education is based on principles of business intelligence and using data for improving competitive edge.…”
Section: Education Technology and Datafication: Seller's Marketmentioning
confidence: 99%
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“…For companies in various fields, behavioural data has become the most important asset to be monetized (Zuboff 2019). This is increasingly the case with digital learning platforms as well (Birch et al 2020). Datafication of education is based on principles of business intelligence and using data for improving competitive edge.…”
Section: Education Technology and Datafication: Seller's Marketmentioning
confidence: 99%
“…Technology and datafication of education are typically synonymized with progress and economic growth (Birch et al 2020). The proponents of data mining argue that education generates growing volumes of data, so this data should be processed to improve education.…”
Section: Education Technology and Datafication: Seller's Marketmentioning
confidence: 99%
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“…Through these opacities, enabled by a sprawling apparatus of algorithms and specialist knowledge, digital platforms turn data into intangible assets, channelling them along financial circuits and subjecting them to capitalisation. As noted by Birch et al (2020), the mechanism through which data are turned into assets is a futurefacing undertaking based on expected rather than current revenues. In this sense, Google's extractive tendencies in education acquire a mission-critical purpose that transcends the tensions and disagreements likely to exist within its organisational structure.…”
Section: Division and Automation Of Labour In Google Classroommentioning
confidence: 99%