%0 Conference Paper %1 ls_leimeister %A Barev, Torben Jan %A Janson, Andreas %A Leimeister, Jan Marco %B International Conference on Design Science Research in Information Systems and Technology (DESRIST) %D 2020 %I Springer, Cham - Vinton G. Cerf Award. %K Design_Science_Research Digital_Nudging Information_Privacy Nudging Privacy_Nudging itegpub pub_aja pub_jml pub_nudger pub_tba %P 388-393 %R https://doi.org/10.1007/978-3-030-64823-7_37 %T Designing Effective Privacy Nudges in Digital Environments: A Design Science Research Approach %U https://pubs.wi-kassel.de/wp-content/uploads/2022/01/JML_858.pdf %X 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. %@ 978-3-030-64822-0

@inproceedings{ls_leimeister, 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.}, added-at = {2020-05-25T17:46:34.000+0200}, author = {Barev, Torben Jan and Janson, Andreas and Leimeister, Jan Marco}, biburl = {https://www.bibsonomy.org/bibtex/2f3ea5ee4aa087c47bdd0b5339b6045b0/ls_leimeister}, booktitle = {International Conference on Design Science Research in Information Systems and Technology (DESRIST)}, doi = {https://doi.org/10.1007/978-3-030-64823-7_37}, eventdate = {04.12.2020}, eventtitle = {International Conference on Design Science Research in Information Systems and Technology (DESRIST)}, interhash = {a35e16dc0b924455f9731c00f2bee2f9}, intrahash = {f3ea5ee4aa087c47bdd0b5339b6045b0}, isbn = {978-3-030-64822-0}, keywords = {Design_Science_Research Digital_Nudging Information_Privacy Nudging Privacy_Nudging itegpub pub_aja pub_jml pub_nudger pub_tba}, pages = {388-393}, publisher = {Springer, Cham - Vinton G. Cerf Award.}, timestamp = {2022-01-24T14:38:14.000+0100}, title = {Designing Effective Privacy Nudges in Digital Environments: A Design Science Research Approach}, url = {https://pubs.wi-kassel.de/wp-content/uploads/2022/01/JML_858.pdf}, venue = {Kristiansand, Norway}, year = 2020 }