Andreas Janson
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Janson
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Andreas
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andreas.janson@unisg.ch
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+41 71 224 2592
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DELEN – A Process Model for the Systematic Development of Legitimate Digital Nudges

2021-08-06 , Barev, Torben Jan , Schöbel, Sofia , Janson, Andreas , Leimeister, Jan Marco , Chandra Kruse, Leona , Seidel, Stefan , Hausvik, Geir Inge

Digital nudging is a promising approach from behavioral economics. In deci-sions where individuals tend to struggle, nudges can support users of digital systems by aligning their behavior with their preferences. Despite their wide use, most digital nudges are designed to support the intended behavior from the perspective of a company while neglecting potential legal, ethical, or individual constraints or preferences. With modern technologies such as artificial intelli-gence or big data, these issues multiply and with the increasing effectiveness of digital nudges and use of new technologies, this has become even more critical. Thus, in this paper we follow a Design Science Research approach to develop a process model for the systematic development of legitimate nudges (DELEN). Legitimacy requires that dealings between different entities shall be fair. Unlike other models, we set normative boundaries derived from literature, expert in-terviews, and target group segmentation as integral elements. Target group seg-mentation increases nudge effectiveness and avoids unnecessary burdens for other individuals. By doing so, the DELEN process model paves the way for legitimate and effective digital nudges.

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Understanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach

2020-01 , Schöbel, Sofia , Barev, Torben Jan , Janson, Andreas , Hupfeld, Felix , Leimeister, Jan Marco

Digital nudging in privacy has become more important to protect users of information systems while working with privacy-related data. Nudging is about altering a user’s behavior without forbidding any options. Several approaches exist to “nudge” users to change their behavior. Regarding the usage of digital privacy nudges, research still has to understand the meaning and relevance of individual nudges better. Therefore, this paper compares the preferences of users for different digital nudges. To achieve this goal, it presents the results of a so-called best-worst scaling. This study contributes to theory by providing a better understanding of user preferences regarding design variations of digital nudges. We support practitioners by giving implications on how to design digital nudges in terms of user preferences.

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Publication

Datenkompetenz durch edukatives Privacy Nudging: Zentrale Prinzipien und Effekte auf Lernprozesse

2021 , Janson, Andreas , Kreidel, Leonie , Schöbel, Sofia , Hornung, Gerrit , Söllner, Matthias , Leimeister, Jan Marco , Stapf, Ingrid , Quinn, Regina Ammicht , Friedewald, Michael , Heesen, Jessica , Krämer, Nicole

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