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Privacy as a Part of the Preference Structure of Users App Buying Decision

Title data

Buck, Christoph ; Stadler, Florian ; Eymann, Torsten ; Suckau, Kristin:
Privacy as a Part of the Preference Structure of Users App Buying Decision.
In: Leimeister, Jan Marco ; Brenner, Walter (ed.): Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017). - St. Gallen , 2017 . - pp. 792-806

Official URL: Volltext

Abstract in another language

Information privacy and personal data in information systems are referred to as the "new oil" of the 21st century. The mass adoption of smart mobile devices, sensor-enabled smart IoT-devices, and mobile applications provide virtually endless possibilities of gathering users' personal information. Previous research suggests that users attribute very little monetary value to their information privacy. The current paper assumes that users are not able to monetize their value of privacy due to its abstract nature and non-transparent context. By defining privacy as a crucial product attribute of mobile applications the authors provide an approach to measure the importance of privacy as part of users’ preference structure. The results of the conducted choice-based conjoint Analysis emphasize the high relevance of privacy in users' preference structure when downloading an app and provide an interesting contribution for theory and practice.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Information Privacy; Personal Data; Product Attribute; Preference Structure; Mobile Applications
Institutions of the University: Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII > Chair Business Administration VII - Univ.-Prof. Dr. Torsten Eymann
Faculties
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works
000 Computer Science, information, general works > 000 Generalities, Science
300 Social sciences > 330 Economics
Date Deposited: 17 Feb 2017 10:20
Last Modified: 17 Feb 2017 10:20
URI: https://eref.uni-bayreuth.de/id/eprint/36125