Designing Effective Privacy Nudges in Digital Environments: A Design Science Research Approach
Journal
International Conference on Design Science Research in Information Systems and Technology (DESRIST)
ISBN
978-3-030-64822-0
Type
conference paper
Date Issued
2020
Author(s)
Research Team
IWI6
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 is using privacy nudges. Nudges are a concept from behavioral eco-nomics to influence individual’s decisions. However, many nudges show low or at least less effects than choice architects hope for and expect. Therefore, this de-sign science research (DSR) project focusses on developing evidence-based de-sign principles for privacy nudges to improve their effectiveness and pave the way for more privacy sensitive IT systems. In this context, we adopt a DSR ap-proach from Vaishnavi & Kuechler. From a theoretical perspective, we are con-tributing to the discussion of what drives privacy sensitive behavior. We extend generic nudge design models, making them applicable in the context of data dis-closure. For practitioners, we provide guidance on how to design and implement effective privacy nudges in the user interface of digital work systems.
Language
English
Keywords
Design Science Research
Digital Nudging
Information Privacy
Nudging
Privacy Nudging
HSG Classification
contribution to scientific community
Publisher
Springer, Cham - Vinton G. Cerf Award.
Start page
388
End page
393
Event Title
International Conference on Design Science Research in Information Systems and Technology (DESRIST)
Event Location
Kristiansand, Norway
Event Date
04.12.2020
Subject(s)
Division(s)
Eprints ID
260280
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Name
JML_858.pdf
Size
244.26 KB
Format
Adobe PDF
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