Privacy and Innovation

Article, Preprint, Book OPEN
Avi Goldfarb; Catherine Tucker;
(2011)
  • Journal: Innovation Policy and the Economy,volume 12,issue 1,pages65-65
  • Related identifiers: doi: 10.1086/663156
  • Subject:
    • jel: jel:O38 | jel:O31
    acm: Data_MISCELLANEOUS

Information and communication technology now enables firms to collect detailed and potentially intrusive data about their customers both easily and cheaply. This means that privacy concerns are no longer limited to government surveillance and public figures' private liv... View more
  • References (31)
    31 references, page 1 of 4

    2 How rms are using personal data 5 2.1 Use of data in online advertising . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.2 Use of data in healthcare . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.3 Use of data to improve operations . . . . . . . . . . . . . . . . . . . . . . . . 9

    3 Privacy Regulation and its Consequences for Innovation and Economic Outcomes 12 3.1 Online Advertising . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.1.1 Regulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.1.2 Consequences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 3.2 Health Services . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3.2.1 Regulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3.2.2 Consequences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 3.3 Operational E ciency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 3.3.1 Regulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 3.3.2 Consequences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

    4 Implications and Conclusion 25 4.1 Implications for Competitive Structure . . . . . . . . . . . . . . . . . . . . . 25 4.2 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Chaudhry, B., J. Wang, S. Wu, M. Maglione, W. Mojica, E. Roth, S. C. Morton, and P. G. Shekelle (2006). Systematic Review: Impact of Health Information Technology on Quality, E ciency, and Costs of Medical Care. Annals of Internal Medicine 144 (10), 742{752.

    Dias, M. B., D. Locher, M. Li, W. El-Deredy, and P. J. Lisboa (2008). The value of personalised recommender systems to e-business: a case study. In RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems, New York, NY, USA, pp. 291{294. ACM.

    Evans, D. S. (2009). The online advertising industry: Economics, evolution, and privacy. The Journal of Economic Perspectives 23 (3), 37{60.

    Fleder, D. and K. Hosanagar (2009). Blockbuster culture's next rise or fall: The impact of recommender systems on sales diversity. Management Science 55 (5), 697{712.

    FTC (2010, December). Protecting consumer privacy in an era of rapid change. Sta Report .

    Fudenburg, D. and J. M. Villas-Boas (2006). Volume 1: Handbooks in Information Systems, Chapter 7: Behavior Based Price Discrimination and Customer Recognition, pp. 377{435. Emerald Group Publishing.

    Garg, A., N. Adhikari, H. McDonald, M. P. Rosas-Arellano, P. J. Devereaux, J. Beyene, J. Sam, and R. B. Haynes (2005). E ects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes: A Systematic Review. JAMA 293 (10), 1223{1238.

    Goldfarb, A. and C. Tucker (2011a). Online advertising. Forthcoming, Advances in Computing Vol 81, Ed. Marvin Zelkowitz.

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