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


Part of the Lecture Notes in Computer Science book series (LNISA,volume 12388)


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 economics to influence individual’s decisions. However, many nudges show low or at least less effects than choice architects hope for and expect. Therefore, this design science research (DSR) project focusses on developing evidence-based design 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 approach from Vaishnavi & Kuechler. From a theoretical perspective, we are contributing to the discussion of what drives privacy sensitive behavior. We extend generic nudge design models, making them applicable in the context of data disclosure. For practitioners, we provide guidance on how to design and implement effective privacy nudges in the user interface of digital work systems.


  • Privacy nudging
  • Information privacy
  • Design science research

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The research presented in this paper was funded by the German Federal Ministry of Education and Research in the context of the project Nudger (, grant no. 16KIS0890K.

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Correspondence to Torben Jan Barev .

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Barev, T.J., Janson, A., Leimeister, J.M. (2020). Designing Effective Privacy Nudges in Digital Environments: A Design Science Research Approach. In: Hofmann, S., Müller, O., Rossi, M. (eds) Designing for Digital Transformation. Co-Creating Services with Citizens and Industry. DESRIST 2020. Lecture Notes in Computer Science(), vol 12388. Springer, Cham.

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