Title data
Gimpel, Henner ; Kleindienst, Dominikus ; Waldmann, Daniela:
The Disclosure of Private Data : Measuring the Privacy Paradox in Digital Services.
In: Electronic Markets.
Vol. 28
(2018)
.
- pp. 475-490.
ISSN 1422-8890
DOI: https://doi.org/10.1007/s12525-018-0303-8
Related URLs
Abstract in another language
Privacy is a current topic in the context of digital services because such services demand mass volumes of
consumer data. Although most consumers are aware of their personal privacy, they frequently do not behave
rationally in terms of the risk-benefit trade-off. This phenomenon is known as the privacy paradox. It is a
common limitation in research papers examining consumers’ privacy intentions. Using a design science
approach, we develop a metric that determines the extent of consumers’ privacy paradox in digital services on
the basis of the theoretical construct of the privacy calculus. We demonstrate a practical application of the metric
for mobile apps. With that, we contribute to validating respective research findings. Moreover, among others,
consumers and companies can be prevented from unwanted consequences with regard to data privacy issues and
service market places can provide privacy-customized suggestions.
Further data
Item Type: | Article in a journal |
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Refereed: | Yes |
Keywords: | Privacy Paradox; Privacy Calculus; Metric; Digital Services |
Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management Faculties Faculties > Faculty of Law, Business and Economics |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
Date Deposited: | 20 Jun 2018 09:00 |
Last Modified: | 18 Dec 2023 11:25 |
URI: | https://eref.uni-bayreuth.de/id/eprint/44571 |