Big Data And Competition Policy

Author: Professor Maurice Stucke
ISBN: 9780198788140
Size: 16.85 MB
Format: PDF, Kindle
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Big Data and Competition Policy is the first work to offer a detailed description of the important new issue of Big Data and explains how it relates to competition laws and policy, both in the EU and US. The book helps bring the reader ...

Das Digital

Author: Thomas Ramge
Publisher: Ullstein Buchverlage
ISBN: 3843716099
Size: 76.39 MB
Format: PDF, Mobi
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... »Does Google Leverage Market Power Through Tying and Bundling?«,
Journal of Competition Law & Economics 11, 2/2015, S. 365–400, academic.oup.
tying. 17. Ariel Ezrachi und Maurice E. Stucke, Virtual Competition. The Promise
and Perils of the Algorithm-Driven Economy (Cambridge: Harvard University
Press, 2016); siehe auch Maurice Stucke und Allen Grunes, Big Data and
Competition Policy ...

Platform Capitalism

Author: Nick Srnicek
Publisher: John Wiley & Sons
ISBN: 1509504907
Size: 45.99 MB
Format: PDF, ePub, Docs
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London: Nesta.
making_sense_of_the_uk_collaborative_economy_14.pdf (accessed 4 June
2016). Stucke, Maurice, and Allen Grunes. 2016. Big Data and Competition
Policy. Oxford: Oxford University Press. Taylor, Edward. 2016. 'Amazon, Microsoft
Look for Big Data Role in Self-Driving Cars'. Reuters, 1 April. http://www.reuters.
com/article/us-automakers-here-amazon-idUSKCN0WX2D8 (accessed 4 June
2016). Terranova, Tiziana. 2000.

Competition Policy For The New Era

Author: Tembinkosi Bonakele
Publisher: Oxford University Press
ISBN: 0198810679
Size: 80.32 MB
Format: PDF, Mobi
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For instance, much work may be undertaken with regard to the regulation of
competition in digital markets, the pharmaceutical industry, the interaction
between Competition Law and intellectual property, and the competition policy
implications of big data and artificial intelligence. We envisage the establishment
of inter-disciplinary cross-BRICS teams which may provide high value,
independent academic comment geared towards the situation of the BRICS
economies and societies.

Wem Geh Rt Die Zukunft

Author: Jaron Lanier
Publisher: Hoffmann und Campe
ISBN: 3455851134
Size: 39.64 MB
Format: PDF, ePub
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Internetpionier und Cyberguru Jaron Lanier liefert eine profunde Analyse der aktuellen Trends in der Netzwerkökonomie, die sich in Richtung Totalüberwachung und Ausbeutung der Massen bewegt. Der Bestseller aus den USA endlich auf Deutsch!

Virtual Competition

Author: Ariel Ezrachi
Publisher: Harvard University Press
ISBN: 0674545478
Size: 28.74 MB
Format: PDF, Kindle
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Ariel Ezrachi and Maurice Stucke take a hard look at today’s app-assisted paradise of digital shopping.

Comparative Competition Law And Economics

Author: Roger J. Van den Bergh
Publisher: Edward Elgar Publishing
ISBN: 1786438313
Size: 64.35 MB
Format: PDF, ePub, Docs
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... Economy 729 Nevo H (2014), Definition of the Relevant Market: (Lack of)
Harmony between Industrial Economics and Competition Law (Intersentia) Nevo
H (2013), 'Market Definition Under Attack: How Relevant is the Relevant Market?',
in M Faure and X Zhang (eds.), The Chinese Anti-Monopoly Law 301 (Edward
Elgar) Newman J (2015), 'Antitrust in Zero-Price Markets: Applications' 94
Washington University Law Review 49 OECD (2016), 'Big Data: Bringing
Competition Policy ...

The Second Machine Age

Author: Andrew Mcafee
Publisher: Plassen Verlag
ISBN: 3864702224
Size: 13.61 MB
Format: PDF
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Wer profitiert, wer verliert? Antworten auf diese Fragen bietet das neue Buch der Technologie-Profis Erik Brynjolfsson und Andrew McAfee. Seit Jahren arbeiten wir mit Computern - und Computer für uns.

Big Data And Analytics For Infectious Disease Research Operations And Policy

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309450144
Size: 72.64 MB
Format: PDF, ePub
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CASE STUDIES IN BIG DATA AND ANALYSIS 41 who are supposed to inspect
every restaurant at least once per year. He called this a classic queuing theory
problem in which the object is to assign inspectors to those restaurants that most
need inspecting. The project team used over a dozen publicly available data
sources to develop a model that predicts the likelihood of a food establishment
having a critical violation, that is, one that is most likely to lead to food-borne