Now showing 1 - 6 of 6
No Thumbnail Available
Publication

The Dark Side of Privacy Nudging – An Experimental Study in the Context of a Digital Work Environment

2021 , Barev, Torben Jan , Schwede, Melanie , Janson, Andreas

Privacy nudging is a promising method to get users to disclose less personal information in digital work environments. In this work, we tested two digital privacy nudges: a social and a framing nudge. To empirically measure the effectiveness of the two privacy nudges, we developed an online experiment. We evaluated 223 data sets with the partial least squares structural equation modeling (PLS-SEM) and a two-factorial Analysis of Variance (ANOVA). The results indicate that privacy nudges negatively influence information disclosure behavior. The privacy framing nudge has a direct and indirect effect, while the privacy social nudge has only an indirect effect on the information disclosure behavior. Individuals exposed to the privacy nudges perceived the stimulus as threat. Importantly, both nudges spark negative feelings. With this research, we are contributing to the discussion of what drives privacy nudge effectiveness and influences information disclosure behavior in digital work environments.

No Thumbnail Available
Publication

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.

No Thumbnail Available
Publication

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.

No Thumbnail Available
Publication

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

2019-03-09 , Barev, Torben Jan , Janson, Andreas

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.

No Thumbnail Available
Publication

Designing Effective Privacy Nudges in Digital Environments: A Design Science Research Approach

2020 , Barev, Torben Jan , Janson, Andreas , Leimeister, Jan Marco

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.

No Thumbnail Available
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