Information Relevance Model of Customized Privacy for IoT

Wei Zhou (wzhou@escpeurope.eu) and Selwyn Piramuthu (selwyn@ufl.edu)

Journal of Business Ethics, 2015, vol. 131, issue 1, 19-30

Abstract: Motivated by advances in mass customization in business practice, explosion in the number of internet of things devices, and the lack of published research on privacy differentiation and customization, we propose a contextual information relevance model of privacy. We acknowledge the existence of individual differences with respect to unique security and privacy protection needs. We observe and argue that it is unfair and socially inefficient to treat privacy in a uniform (or less differentiated) manner whereby a large proportion of the population remain unsatisfied by a common policy. Our research results provide quantifiable means to measure and evaluate the customized privacy. We show that with privacy differentiation, the social planner will observe increases in demand and overall social welfare. Our results also show that business practitioners could profit from privacy customization. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Value based privacy management; Customized privacy; Privacy differentiation; Internet of things; Privacy perception (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s10551-014-2248-y

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