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Conclusion—Main Findings and Contributions to the Current Knowledge

  • Marcelo Corrales CompagnucciEmail author
Chapter
Part of the Perspectives in Law, Business and Innovation book series (PLBI)

Abstract

This book taps into two main streams of the economic analysis of law and advances the proposition that cloud computing architectures will benefit from making use of both strands of thoughts. The purpose is to take some of the key tenets of the traditional school of law and economics, but give greater weight to the new behavioral insights within the reach of cloud computing and Big Data transformations.

References

  1. Almlund M et al (2011) Personality, psychology and economics. In: Hanushek E, Machin S, Woessmann L (eds) Handbook of the economics of education, vol 4, Elsevier, Waltham, p 81Google Scholar
  2. Gleick J (2010) The information: a history, a theory, a flood. Pantheon Books, New York, p 20Google Scholar
  3. Hugentholtz B (2005) Abuse of database right sole-source information banks under the EU Database Directive. In: Lévêque F, Shelanski H (eds) Antitrust, patents and copyright: EU and US perspectives. New horizons in competition law and economics. Edward Elgar Publishing, Cheltenham, pp 203–219Google Scholar
  4. Karthick N, Kalarani X (2014) A survey on data aggregation in big data and cloud computing. Int J Comput Trends Technol (IJCTT) 7(1):28–32Google Scholar
  5. Klijn E, Eshuis J (2013) Trust and networks, Part I. In: Llewellyn S, Brookes S, Mahon A (eds) Trust and confidence in government and public services. Routledge, New YorkGoogle Scholar
  6. Knox K (2007) The various and conflicting notions of information. In: Cohen E (ed) Information and beyond: Part II. Journal of issues in informing science and information technology, vol 4. Informing Science Press, Santa Rosa, p 681Google Scholar
  7. Kuneva M (2009) Press Release, Speech/09/156, European Commission Database. http://europa.eu/rapid/press-release_SPEECH-09-156_en.htm. Accessed May 10, 2019
  8. Liu et al (eds) (2002) Organizational semiotics: evolving a science of information systems. In: IFIP TC8/WG8.1 working conference on organizational semiotics: evolving a science of information systems, July 23–25, 2001, Montreal, Quebec, Canada. Springer, New YorkGoogle Scholar
  9. Maurer S (2008) Across two worlds: database protection in the United States and Europe. In: Putnam J (ed) Intellectual property and innovation in the knowledge-based economy, conference proceedings, 23–24 May 2001, Toronto, ON, Canada. University of Calgary Press, Calgary, pp 13–14 and 13–80Google Scholar
  10. Maurer S, Hugenholtz B, Onsrud H (2001) Europe’s database experiment. Science 294(5543):789–790CrossRefGoogle Scholar
  11. Onifade O et al (2010) Fuzzontology: resolving information mining ambiguity in economic intelligent process. In: Prasad S et al (eds) Proceedings of the 4th international conference on information systems, technology and management, ICISTM 2010, Bangkok, Thailand, March 2010. Springer, Berlin, p 234CrossRefGoogle Scholar
  12. Raley R (2013) Dataveillance and countervailance. In: Gitelman L (ed) Raw data is an oxymoron. The MIT Press, Cambridge, p 123Google Scholar
  13. Raman A (2007) knowledge management: a resource book. Excel Books, New Delhi, p 197Google Scholar
  14. Schou E (2011) Database protection from a cloud computing and virtual environment perspective. SecurityWeek Network. https://www.securityweek.com/database-protection-cloud-computing-and-virtual-environment-perspective. Accessed 10 May 2019
  15. Swanson R (2013) Theory building in applied disciplines. Berrett-Koehler Publishers, San Francisco, pp 5–73Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Centre for Advanced Studies in Biomedical Innovation Law (CeBIL)University of CopenhagenCopenhagenDenmark

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