1. Introduction
1. THE GROWING DATA-DRIVEN ECONOMY
2. Defining Big Data
3. Smartphones as an Example of how Big Data and Privacy Intersect
4. The Competitive Significance of Big Data
5. Why Haven't Market Forces Addressed Consumers' Privacy Concerns?
PART II: THE COMPETITION AUTHORITIES' MIXED RECORD IN RECOGNIZING DATA'S IMPORTANCE AND THE IMPLICATIONS OF A FEW FIRMS' UNPARALLELED SYSTEM OF HARVESTING AND MONETIZING THEIR DATA TROVE
6. The US's and EU's Mixed Record in Assessing Data-Driven Mergers
PART III: WHY HAVEN'T MANY COMPETITION AUTHORITIES CONSIDERED THE IMPLICATIONS OF BIG DATA?
7. Agencies Focus on What Is Measurable (Price), Which Isn't Always Important (Free Goods)
8. Data-Driven Mergers Often Fall Outside Competition Policy's Conventional Categories
9. Belief that Privacy Concerns Differ from Competition Policy Objectives
PART IV: WHAT ARE THE RISKS IF COMPETITION AUTHORITIES IGNORE OR DOWNPLAY BIG DATA?
10. Importance of Entry Barriers in Antitrust Analysis
11. Entry Barriers Can Be Higher in Multi-Sided Markets, Where One Side Exhibits Traditional Network Effects
12. Scale of Data Trial-and-Error, 'Learning-by-Doing' Network Effects
13. Two More Network Effects: Scope of Data & Spill-over Effects
14. Reflections on Data-Driven Network Effects
15. Risk of Inadequate Merger Enforcement
16. The Price of Weak Antitrust Enforcement
PART V: ADVANCING A RESEARCH AGENDA FOR THE AGENCIES AND ACADEMICS
17. Recognizing When Privacy and Competition Law Intersect
18. Data-opoly: Identifying Data-Driven Exclusionary and Predatory Conduct
19. Understanding and Assessing Data-Driven Efficiencies Claims
20. Need for Retrospectives of Data-Driven Mergers
21. More Coordination among Competition, Privacy and Consumer Protection Officials
22. Conclusion