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Priming App Information Privacy Concerns in Mobile Ecosystems

Title data

Buck, Christoph ; Burster, Simone ; Eymann, Torsten:
Priming App Information Privacy Concerns in Mobile Ecosystems.
Bayreuth , 2017 . - 18 p. - (Bayreuther Arbeitspapiere zur Wirtschaftsinformatik ; 63 )

Official URL: Volltext

Abstract in another language

In the course of experiential computing privacy is entering personal space. Due to the implementation of all kinds of sensors and computing in everyday life of users, their privacy is at high risk. The high risk of privacy is strengthened by the classification of mobile app download decisions in mobile ecosystems as low effort processes. The article follows the call of Dinev et al. (2015) to investigate the influences of behavioral economics on privacy decisions. The paper provides the development of an app information privacy concern and six independent experiments in the field of priming information privacy with altogether 1954 participants. The results support the assumption of app decision-making as low effort process and indicate the influence of priming on individuals’ information privacy concerns. This research contributes to increasing importance of understanding individuals’ behavior in digital ecosystems.

Further data

Item Type: Working paper, discussion paper
Keywords: Mobile Applications; Information Privacy; Privacy Concerns; Behavioral Economics; Priming
Institutions of the University: 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
Profile Fields > Emerging Fields > Innovation and Consumer Protection
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Profile Fields
Profile Fields > Emerging Fields
Research Institutions
Research Institutions > Affiliated Institutes
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works
000 Computer Science, information, general works > 004 Computer science
300 Social sciences
300 Social sciences > 330 Economics
Date Deposited: 11 Nov 2017 22:00
Last Modified: 04 Apr 2019 05:40
URI: https://eref.uni-bayreuth.de/id/eprint/40388