On the adoption of privacy-enhancing technologies


We propose a model, based on the work of Brock and Durlauf, which looks at how agents make choices between competing technologies, as a framework for exploring aspects of the economics of the adoption of privacy-enhancing technologies. In order to formulate a model of decision-making among choices of technologies by these agents, we consider the following: context, the setting in which and the purpose for which a given technology is used; requirement, the level of privacy that the technology must provide for an agent to be willing to use the technology in a given context; belief, an agent’s perception of the level of privacy provided by a given technology in a given context; and the relative value of privacy, how much an agent cares about privacy in this context and how willing an agent is to trade off privacy for other attributes. We introduce these concepts into the model, admitting heterogeneity among agents in order to capture variations in requirement, belief, and relative value in the population. We illustrate the model with two examples: the possible effects on the adoption of iOS devices being caused by the recent Apple–FBI case; and the recent revelations about the non-deletion of images on the adoption of Snapchat.

Publication DOI: https://doi.org/10.1007/978-3-319-47413-7_11
Divisions: College of Business and Social Sciences > Aston Business School
Additional Information: Copyright © Springer International Publishing AG 2016. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-47413-7_1
Event Title: 7th International Conference on Decision and Game Theory for Security
Event Type: Other
Event Dates: 2016-11-02 - 2016-11-04
Uncontrolled Keywords: Theoretical Computer Science,Computer Science(all)
ISBN: 978-3-319-47412-0, 978-3-319-47413-7
Last Modified: 10 Jun 2024 07:49
Date Deposited: 07 Dec 2016 13:10
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2016-10-05
Published Online Date: 2016-10-05
Accepted Date: 2016-04-01
Authors: Caulfield, Tristan
Ioannidis, Christos
Pym, David



Version: Accepted Version

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