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Regulating Big Tech : policy responses to digital dominance / edited by Martin Moore and Damian Tambini.

By: Contributor(s): Material type: TextTextPublisher: New York : Oxford University Press, [2022]Edition: First editionDescription: xii, 368 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780197616093
  • 9780197616109
  • 9780197616116
  • 9780197616130
Subject(s): Additional physical formats: Online version:: Regulating Big TechDDC classification:
  • 338.4/76205 23
LOC classification:
  • HC79.H53 MOO
Summary: "The market size and strength of the major digital platform companies has invited international concern about how such firms should best be regulated to serve the interests of wider society, with a particular emphasis on the need for new anti-trust legislation. Using a normative innovation systems approach, this paper investigates how current anti-trust models may insufficiently address the value-extracting features of existing data-intensive and platform-oriented industry behaviour and business models. To do so, we employ the concept of economic rents to investigate how digital platforms create and extract value. Two forms of rent are elaborated: 'network monopoly rents' and 'algorithmic rents.' By identifying such rents more precisely, policymakers and researchers can better direct regulatory investigations, as well as broader industrial and innovation policy approaches, to shape the features of platform-driven digital markets"-- Provided by publisher.
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Holdings
Item type Current library Call number Materials specified Status Date due Barcode
Books Books MYCC Library General stacks 338.476205 MOO 2022 (Browse shelf(Opens below)) Available 10199
Books Books MYCC Library Reference 338.476205 MOO 2022 REF (Browse shelf(Opens below)) Available 10200

Includes bibliographical references and index.

"The market size and strength of the major digital platform companies has invited international concern about how such firms should best be regulated to serve the interests of wider society, with a particular emphasis on the need for new anti-trust legislation. Using a normative innovation systems approach, this paper investigates how current anti-trust models may insufficiently address the value-extracting features of existing data-intensive and platform-oriented industry behaviour and business models. To do so, we employ the concept of economic rents to investigate how digital platforms create and extract value. Two forms of rent are elaborated: 'network monopoly rents' and 'algorithmic rents.' By identifying such rents more precisely, policymakers and researchers can better direct regulatory investigations, as well as broader industrial and innovation policy approaches, to shape the features of platform-driven digital markets"-- Provided by publisher.

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