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 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.
Keywords
- Privacy nudging
- Information privacy
- Design science research
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Acquisti, A., Sleeper, M., Wang, Y., Wilson, S., Adjerid, I., Balebako, R., et al.: Nudges for privacy and security. ACM Comput. Surv. 50(3), 1–41 (2017)
Barth, S., de Jong, M.D.T.: The privacy paradox: Investigating discrepancies between expressed privacy concerns and actual online behavior – a systematic literature review. Telematics Inform. 34(7), 1038–1058 (2017)
Erevelles, S., Fukawa, N., Swayne, L.: Big data consumer analytics and the transformation of marketing. J. Bus. Res. 69(2), 897–904 (2016)
Cazier, J., Wilson, E., Medlin, B.: The role of privacy risk in IT acceptance. Int. J. Inform. Secur. Priv. 1(2), 61–73 (2007)
Mirsch, T., Lehrer, C., Jung, R: Making digital nudging applicable: the digital nudge design method. In: International Conference on Information Systems, pp. 1–16 (2018)
Schwartz, P.M.: Property, privacy, and personal data. Harv. L. Rev. 117(7) 2056 (2003)
Paul, P., Integrating trust in electronic commerce with the technology acceptance model: model development and validation. In: AMCIS 2001 Proceedings. vol. 159 (2001)
Potthoff, T.; Meske, C.: The DINU-model – a process model for the design of nudges. In: 23rd European Conference on Information Systems (ECIS), pp. 2587–2597. Portugal (2017)
Schöbel, S.; Barev, T.J.; Janson, A.; Hupfeld, F., Leimeister, J.M.: Understanding user preferences of digital privacy nudges – a best-worst scaling Approach. In: Hawaii International Conference on System Sciences (HICSS) (2020)
Spiekermann, S.: Ethical IT Innovation: A Value-Based System Design Approach, 1st edn. CRC Press, USA, Florida (2015)
Sunstein, C.: Nudges that fail. Behavioural. Public Policy 1(1), 4–25 (2017)
Thaler, R.H., Sunstein, C.R.: Nudge. Int’l. Penguin Books, London (2009)
vom Brocke, J., Simons, A., Riemer, K., Niehaves, B., Plattfaut, R., Cleven, A.: Standing on the Shoulders of Giants: Challenges and Recommendations of Literature Search in Information Systems Research. In: CAIS 37 (2015)
Vaishnavi V. and Kuechler W.: Design science research in information systems. AISNet. In: Association for Information Systems. USA (2004)
Venable J.R., Pries-Heje R., Baskerville R.: FEDS: a framework for evaluation in design science research. IS Technol. 25(1), 77–89 (2016). Springer, Berlin
Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature review. MIS Q. 26(2), 13–23 (2002)
Weinmann, M., Schneider, C., vom Brocke, J.: Digital nudging: guiding online user choices through interface design. Commun. ACM 61(7), (2018)
Weinmann, M., Schneider, C., vom Brocke, J.: Digital nudging. Bus. Inform. Syst. Eng. 58(6), 433–436 (2016). https://doi.org/10.1007/s12599-016-0453-1
Sun, Y., Kantor, P.B.: Cross-Evaluation: a new model for information system evaluation. J. Am. Soc. Inf. Sci. Technol. 57(5), 614–628 (2006)
Acknowledgement
The research presented in this paper was funded by the German Federal Ministry of Education and Research in the context of the project Nudger (www.nudger.de), grant no. 16KIS0890K.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
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. https://doi.org/10.1007/978-3-030-64823-7_37
Download citation
DOI: https://doi.org/10.1007/978-3-030-64823-7_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-64822-0
Online ISBN: 978-3-030-64823-7
eBook Packages: Computer ScienceComputer Science (R0)