Skip to main content

Conclusion—Main Findings and Contributions to the Current Knowledge

  • Chapter
  • First Online:
  • 784 Accesses

Part of the book series: Perspectives in Law, Business and Innovation ((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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    See, generally, Swanson (2013, pp. 5–73).

  2. 2.

    Raley (2013, p. 123). For Marshall, “Big Data is surely the Gold Rush of the Information Age.” See Marshall (2012, p. 1).

  3. 3.

    Kuneva (2009).

  4. 4.

    Liu et al. (2002) (eds), Raman (2007, p. 197).

  5. 5.

    Gleick (2010, p. 20).

  6. 6.

    Onifade et al. (2010, p. 234).

  7. 7.

    Knox (2007, p. 681).

  8. 8.

    Maurer et al. (2001, p. 789).

  9. 9.

    Maurer (2008, pp. 13–14 and 13–80).

  10. 10.

    Maurer et al. (2001, pp. 789–790).

  11. 11.

    Hugentholtz (2005, pp. 203–219).

  12. 12.

    Maurer et al. (2001, pp. 789–790).

  13. 13.

    Maurer et al. (2001, pp. 789–790), see, also, generally, Karthick and Kalarani (2014, pp. 28–32).

  14. 14.

    Schou (2011).

  15. 15.

    Klijn and Eshuis (2013), Chap. 5 with further references.

  16. 16.

    Almlund et al. (2011, p. 81).

References

  • 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 81

    Google Scholar 

  • Gleick J (2010) The information: a history, a theory, a flood. Pantheon Books, New York, p 20

    Google Scholar 

  • 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 203–219

    Google Scholar 

  • Karthick N, Kalarani X (2014) A survey on data aggregation in big data and cloud computing. Int J Comput Trends Technol (IJCTT) 7(1):28–32

    Google Scholar 

  • 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 York

    Google Scholar 

  • 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 681

    Google Scholar 

  • 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

  • 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 York

    Google Scholar 

  • Marshall C (2012) Big data, the crowd, and me. https://www.semanticscholar.org/paper/Big-Data%2C-the-crowd-and-me-Marshall/1c8fba5bdc52ee125ce8ec79880a0dec9dbff468. Accessed 10 May 2019

  • 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 13–80

    Google Scholar 

  • Maurer S, Hugenholtz B, Onsrud H (2001) Europe’s database experiment. Science 294(5543):789–790

    Article  Google Scholar 

  • 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 234

    Chapter  Google Scholar 

  • Raley R (2013) Dataveillance and countervailance. In: Gitelman L (ed) Raw data is an oxymoron. The MIT Press, Cambridge, p 123

    Google Scholar 

  • Raman A (2007) knowledge management: a resource book. Excel Books, New Delhi, p 197

    Google Scholar 

  • 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

  • Swanson R (2013) Theory building in applied disciplines. Berrett-Koehler Publishers, San Francisco, pp 5–73

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marcelo Corrales Compagnucci .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Corrales Compagnucci, M. (2020). Conclusion—Main Findings and Contributions to the Current Knowledge. In: Big Data, Databases and "Ownership" Rights in the Cloud. Perspectives in Law, Business and Innovation. Springer, Singapore. https://doi.org/10.1007/978-981-15-0349-8_10

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-0349-8_10

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0348-1

  • Online ISBN: 978-981-15-0349-8

  • eBook Packages: Law and CriminologyLaw and Criminology (R0)

Publish with us

Policies and ethics