Big data and competition policy /
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| Formato: | Livro |
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New York :
Oxford university press,
c2016.
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| Edição: | First edition. |
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Sumário:
- Introduction
- Defining big data
- Smartphones as an example of how big data and privacy intersect
- The competitive significance of big data
- Why haven't market forces addressed consumers' privacy concerns?
- The US's and EU's mixed record in assessing data-driven mergers
- Agencies focus on what is measurable (Price), which is not always important (Free Goods)
- Data-driven mergers often fall outside competition policy's conventional categories
- Belief that privacy concerns differ from competition policy objectives
- Importance of entry barriers in antitrust analysis
- Entry barriers can be higher in multi-sided markets, where one side exhibits traditional network effects
- Scale of data : trial-and-error, 'Learning-by-doing' network effects
- Two more network effects : scope of data and spill-over effects
- Reflections on data-driven network effects
- Risk of inadequate merger enforcement
- The price of weak antitrust enforcement
- Recognizing when privacy and competition law intersect
- Data-opoly : identifying data-driven exclusionary and predatory conduct
- Understanding and assessing data-drien efficiencies claims
- Need for retrospectives of data-driven mergers
- More coordination among competition, privacy, and consumer protection officials.