Towards an Integrative Understanding of Privacy Nudging – Systematic Review and Research Agenda

Item Type Conference or Workshop Item (Paper)
Abstract

When using digital technologies, various data traces are left behind for collection, storage and analysis. Innovative solutions for information systems are needed that mitigate privacy risks and foster information privacy. One mechanism to achieve this are privacy nudges. Nudges are a concept from behavioural economics to influence individual’s decisions. This paper focusses on building an integrative understanding of privacy nudging. Specifically, we conceptualize the constituting characteristics of privacy nudges by conducting a systematic literature review to cover the current state of knowledge in the interdisciplinary privacy nudge literature stream. We structure the intrapersonal factors that determine effectiveness for each privacy nudge in a morphological box and conceptualize on this basis current research coverage as well as demand for future research. Finally, we develop theoretical propositions contributing to the discussion of how to study and design effective privacy nudges that can pave the way for more privacy sensitive IT systems.

Authors Barev, Torben Jan & Janson, Andreas
Research Team IWI6
Language English
Keywords Future Work, Information Privacy, Nudging, Personality, Privacy Nudging
Subjects computer science
information management
other research area
HSG Classification contribution to scientific community
Date 9 March 2019
Event Title 18th Annual Pre-ICIS Workshop on HCI Research in MIS (ICIS)
Event Location Munich, Germany
Event Dates 09.03.2020
Depositing User Mahei Li
Date Deposited 21 Dec 2019 13:26
Last Modified 16 Mar 2020 16:45
URI: https://www.alexandria.unisg.ch/publications/258828

Download

[img] Text
JML_762neu.pdf

Download (211kB)

Citation

Barev, Torben Jan & Janson, Andreas: Towards an Integrative Understanding of Privacy Nudging – Systematic Review and Research Agenda. 2019. - 18th Annual Pre-ICIS Workshop on HCI Research in MIS (ICIS). - Munich, Germany.

Statistics

https://www.alexandria.unisg.ch/id/eprint/258828
Edit item Edit item
Feedback?