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.
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- 1.
See, generally, Swanson (2013, pp. 5–73).
- 2.
- 3.
Kuneva (2009).
- 4.
- 5.
Gleick (2010, p. 20).
- 6.
Onifade et al. (2010, p. 234).
- 7.
Knox (2007, p. 681).
- 8.
Maurer et al. (2001, p. 789).
- 9.
Maurer (2008, pp. 13–14 and 13–80).
- 10.
Maurer et al. (2001, pp. 789–790).
- 11.
Hugentholtz (2005, pp. 203–219).
- 12.
Maurer et al. (2001, pp. 789–790).
- 13.
- 14.
Schou (2011).
- 15.
- 16.
Almlund et al. (2011, p. 81).
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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
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