Master of Managament Torben Jan Barev

2021

Barev, T. J.; Schwede, M.; … Janson, A. (2021): The Dark Side of Privacy Nudging – An Experimental Study in the Context of a Digital Work Environment. Hawaii International Conference on System Sciences (HICSS).
[ BibTeX ] [ EndNote ] [ URL ]
 
@inproceedings{ls_leimeister, abstract = {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.}, author = {Barev, Torben Jan and Schwede, Melanie and Janson, Andreas}, booktitle = {Hawaii International Conference on System Sciences (HICSS)}, keywords = {Digital_Nudging Information_Privacy Nudging Privacy_Nudging itegpub pub_aja pub_nudger pub_tba}, title = {The Dark Side of Privacy Nudging – An Experimental Study in the Context of a Digital Work Environment}, year = 2021 }
%0 Conference Paper %1 ls_leimeister %A Barev, Torben Jan %A Schwede, Melanie %A Janson, Andreas %B Hawaii International Conference on System Sciences (HICSS) %D 2021 %T The Dark Side of Privacy Nudging – An Experimental Study in the Context of a Digital Work Environment %U http://pubs.wi-kassel.de/wp-content/uploads/2021/05/JML_825.pdf %X 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.

2020

Schöbel, S.; Schomberg, S.; Barev, T. J.; Grote, T.; Janson, A.; Hornung, G.; … Leimeister, J. M. (2020): Zum Datenschutz gestupst? Gestaltungsorientierte Entwicklung von Privacy Nudges vor dem Hintergrund ethischer und rechtlicher Leitlinien. Forum Privatheit.
[ BibTeX ] [ EndNote ]
 
@inproceedings{ls_leimeister, author = {Schöbel, Sofia and Schomberg, Sabrina and Barev, Torben Jan and Grote, Thomas and Janson, Andreas and Hornung, Gerrit and Leimeister, Jan Marco}, booktitle = {Forum Privatheit}, keywords = {Design_von_digitalen_Benutzeroberflächen Ethik Privacy_Nudge Recht Soziotechnik digitale_Entscheidungsarchitekturen itegpub pub_aja pub_jml pub_ssc pub_tba}, title = {Zum Datenschutz gestupst? Gestaltungsorientierte Entwicklung von Privacy Nudges vor dem Hintergrund ethischer und rechtlicher Leitlinien}, year = 2020 }
%0 Conference Paper %1 ls_leimeister %A Schöbel, Sofia %A Schomberg, Sabrina %A Barev, Torben Jan %A Grote, Thomas %A Janson, Andreas %A Hornung, Gerrit %A Leimeister, Jan Marco %B Forum Privatheit %D 2020 %T Zum Datenschutz gestupst? Gestaltungsorientierte Entwicklung von Privacy Nudges vor dem Hintergrund ethischer und rechtlicher Leitlinien
Schöbel, S.; Barev, T. J.; Janson, A.; Hupfeld, F.; … Leimeister, J. M. (2020): Understanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach. Hawaii International Conference on System Sciences (HICSS).
[ BibTeX ] [ EndNote ] [ URL ]
 
@inproceedings{ls_leimeister, abstract = {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.}, author = {Schöbel, Sofia and Barev, Torben Jan and Janson, Andreas and Hupfeld, Felix and Leimeister, Jan Marco}, booktitle = {Hawaii International Conference on System Sciences (HICSS)}, keywords = {Best_Worst_Scaling Digital_Nudging Nudging Privacy_Nudges User_Preferences itegpub pub_aja pub_fhu pub_jml pub_nudger pub_ssc pub_tba}, title = {Understanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach}, year = 2020 }
%0 Conference Paper %1 ls_leimeister %A Schöbel, Sofia %A Barev, Torben Jan %A Janson, Andreas %A Hupfeld, Felix %A Leimeister, Jan Marco %B Hawaii International Conference on System Sciences (HICSS) %D 2020 %T Understanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach %U http://pubs.wi-kassel.de/wp-content/uploads/2020/03/JML_769.pdf %X 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.
Barev, T. J.; Janson, A.; … Leimeister, J. M. (2020): Designing Effective Privacy Nudges in Digital Environments: A Design Science Research Approach. International Conference on Design Science Research in Information Systems and Technology (DESRIST) (bll 388–393). Springer, Cham - Vinton G. Cerf Award.
[ BibTeX ] [ EndNote ] [ URL ]
 
@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.}, author = {Barev, Torben Jan and Janson, Andreas and Leimeister, Jan Marco}, booktitle = {International Conference on Design Science Research in Information Systems and Technology (DESRIST)}, 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.}, title = {Designing Effective Privacy Nudges in Digital Environments: A Design Science Research Approach}, year = 2020 }
%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. %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://link.springer.com/chapter/10.1007/978-3-030-64823-7_37 %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
Barev, T. J. (2020): Theory-Motivated Design for Developing Privacy Nudges. International Conference on Wirtschaftsinformatik (WI).
[ BibTeX ] [ EndNote ] [ URL ]
 
@inproceedings{ls_leimeister, abstract = {Using digital technologies, various data traces are left behind for collection, storage and analysis. Potential risks that the availability of personal information entails, like the vulnerability to discrimination, commercial exploitation and unwanted monitoring, is ubiquitous. Hence, modern IT systems are needed that ensure employees' privacy and informational self-determination. One mechanism to achieve this is the implementation of privacy nudges in modern working systems. Nudging is a mechanism to influence decisions in a predictable way. In this context, privacy nudging concepts should influence employees` behavior in digital working environments in such a way that they make more data protection-friendly decisions. In this research project I am focusing on building an integrative understanding of effective nudging in privacy-related decisions. From this, design knowledge for better privacy nudges in digital work systems should be derived, which can pave the way for more privacy-sensitive IT systems. Successfully implemented privacy nudges can increase acceptance, trust and usage of modern IT-systems. Privacy sensitive IT-systems can then constitute a competitive advantage for the company. On the side of society, informational self-determination can be ensured and the potential risks that the availability of personal information entails can be reduced.}, author = {Barev, Torben Jan}, booktitle = {International Conference on Wirtschaftsinformatik (WI)}, keywords = {Design_Science_Research Information_Privacy Privacy_Nudging itegpub pub_tba}, title = {Theory-Motivated Design for Developing Privacy Nudges}, year = 2020 }
%0 Conference Paper %1 ls_leimeister %A Barev, Torben Jan %B International Conference on Wirtschaftsinformatik (WI) %D 2020 %T Theory-Motivated Design for Developing Privacy Nudges %U http://pubs.wi-kassel.de/wp-content/uploads/2020/03/JML_768.pdf %X Using digital technologies, various data traces are left behind for collection, storage and analysis. Potential risks that the availability of personal information entails, like the vulnerability to discrimination, commercial exploitation and unwanted monitoring, is ubiquitous. Hence, modern IT systems are needed that ensure employees' privacy and informational self-determination. One mechanism to achieve this is the implementation of privacy nudges in modern working systems. Nudging is a mechanism to influence decisions in a predictable way. In this context, privacy nudging concepts should influence employees` behavior in digital working environments in such a way that they make more data protection-friendly decisions. In this research project I am focusing on building an integrative understanding of effective nudging in privacy-related decisions. From this, design knowledge for better privacy nudges in digital work systems should be derived, which can pave the way for more privacy-sensitive IT systems. Successfully implemented privacy nudges can increase acceptance, trust and usage of modern IT-systems. Privacy sensitive IT-systems can then constitute a competitive advantage for the company. On the side of society, informational self-determination can be ensured and the potential risks that the availability of personal information entails can be reduced.

2019

Schomberg, S.; Barev, T. J.; Janson, A.; … Hupfeld, F. (2019): Ansatz zur Umsetzung von Datenschutz nach der DSGVO im Arbeitsumfeld: Datenschutz durch Nudging. Informatik 2019 - 49. Jahrestagung der Gesellschaft für Informatik (GI). Kassel, Germany: Gesellschaft für Informatik (GI).
[ BibTeX ] [ EndNote ] [ URL ]
 
@inproceedings{ls_leimeister, abstract = {Die noch recht neue DSGVO hat einige Änderungen mit sich gebracht, welche sich in der Praxis erst noch bewähren und innovativ umgesetzt werden müssen. Insbesondere das Arbeitsumfeld wird von der fortschreitenden Digitalisierung stark verändert und sieht sich neuen Herausforderungen des Datenschutzes gegenüber. Ein Ansatz diesen Herausforderungen zu begegnen könnte die Integration von Privacy Nudges in digitale betriebliche Systeme sein. Ziel von Privacy Nudges ist es dabei den Entscheidungsprozess in digitalen Entscheidungsumgebungen gezielt zu mehr Schutz von personenbezogenen Daten und Privatheit zu beeinflussen. Diesem Ansatz nähert sich dieser Beitrag interdisziplinär, durch Erkenntnisse aus der verhaltensökonomischen, informatischen und der rechtswissenschaftlichen Literatur. Schließlich werden verschiedene Szenarien für den Einsatz von Privacy Nudges in digitalen Arbeitssystemen beschrieben und bewertet.}, address = {Kassel, Germany}, author = {Schomberg, Sabrina and Barev, Torben Jan and Janson, Andreas and Hupfeld, Felix}, booktitle = {Informatik 2019 - 49. Jahrestagung der Gesellschaft für Informatik (GI)}, keywords = {DSGVO Datenschutz_durch_Technik Datenschutz_„by_Design“_und_„by_Default“ Digital_Nudging Privacy_Nudges itegpub pub_aja pub_fhu pub_nudger pub_ssc pub_tba}, publisher = {Gesellschaft für Informatik (GI)}, title = {Ansatz zur Umsetzung von Datenschutz nach der DSGVO im Arbeitsumfeld: Datenschutz durch Nudging}, year = 2019 }
%0 Conference Paper %1 ls_leimeister %A Schomberg, Sabrina %A Barev, Torben Jan %A Janson, Andreas %A Hupfeld, Felix %B Informatik 2019 - 49. Jahrestagung der Gesellschaft für Informatik (GI) %C Kassel, Germany %D 2019 %I Gesellschaft für Informatik (GI) %R 10.18420/inf2019_52 %T Ansatz zur Umsetzung von Datenschutz nach der DSGVO im Arbeitsumfeld: Datenschutz durch Nudging %U http://pubs.wi-kassel.de/wp-content/uploads/2019/09/JML_741.pdf %X Die noch recht neue DSGVO hat einige Änderungen mit sich gebracht, welche sich in der Praxis erst noch bewähren und innovativ umgesetzt werden müssen. Insbesondere das Arbeitsumfeld wird von der fortschreitenden Digitalisierung stark verändert und sieht sich neuen Herausforderungen des Datenschutzes gegenüber. Ein Ansatz diesen Herausforderungen zu begegnen könnte die Integration von Privacy Nudges in digitale betriebliche Systeme sein. Ziel von Privacy Nudges ist es dabei den Entscheidungsprozess in digitalen Entscheidungsumgebungen gezielt zu mehr Schutz von personenbezogenen Daten und Privatheit zu beeinflussen. Diesem Ansatz nähert sich dieser Beitrag interdisziplinär, durch Erkenntnisse aus der verhaltensökonomischen, informatischen und der rechtswissenschaftlichen Literatur. Schließlich werden verschiedene Szenarien für den Einsatz von Privacy Nudges in digitalen Arbeitssystemen beschrieben und bewertet.
[ BibTeX ] [ EndNote ] [ URL ]
 
@article{ls_leimeister, abstract = {Die noch recht neue DSGVO hat einige Änderungen mit sich gebracht, welche sich in der Praxis erst noch bewähren und innovativ umgesetzt werden müssen. Insbesondere das Arbeitsumfeld wird von der fortschreitenden Digitalisierung stark verändert und sieht sich neuen Herausforderungen des Datenschutzes gegenüber. Ein Ansatz, diesen Herausforderungen zu begegnen, könnte die Integration von Privacy Nudges in digitale betriebliche Systeme sein. Ziel von Privacy Nudges ist es dabei, den Entscheidungsprozess in digitalen Entscheidungsumgebungen gezielt zu mehr Schutz von personenbezogenen Daten und Privatheit zu beeinflussen. Diesem Ansatz nähert sich dieser Beitrag interdisziplinär durch Erkenntnisse aus der verhaltensökonomischen, informatischen und der rechtswissenschaftlichen Literatur. Schließlich werden verschiedene Szenarien für den Einsatz von Privacy Nudges in digitalen Arbeitssystemen beschrieben und bewertet.}, address = {Wiesbaden, Germany}, author = {Schomberg, Sabrina and Barev, Torben Jan and Janson, Andreas and Hupfeld, Felix}, journal = {Datenschutz und Datensicherheit - DuD}, keywords = {DSGVO Datenschutz_durch_Technik Datenschutz_„by_Design“_und_„by Default“ Digital_Nudging Privacy_Nudges itegpub pub_aja pub_fhu pub_nudger pub_tba}, number = {Issue 12}, pages = {774-780}, publisher = {Springer Fachmedien}, title = {Ansatz zur Umsetzung von Datenschutz nach der DSGVO im Arbeitsumfeld: Datenschutz durch Nudging}, volume = {December 2019 Volume 43}, year = 2019 }
%0 Journal Article %1 ls_leimeister %A Schomberg, Sabrina %A Barev, Torben Jan %A Janson, Andreas %A Hupfeld, Felix %C Wiesbaden, Germany %D 2019 %I Springer Fachmedien %J Datenschutz und Datensicherheit - DuD %N Issue 12 %P 774-780 %R https://doi.org/10.1007/s11623-019-1204-5 %T Ansatz zur Umsetzung von Datenschutz nach der DSGVO im Arbeitsumfeld: Datenschutz durch Nudging %U http://pubs.wi-kassel.de/wp-content/uploads/2019/12/JML_753.pdf %V December 2019 Volume 43 %X Die noch recht neue DSGVO hat einige Änderungen mit sich gebracht, welche sich in der Praxis erst noch bewähren und innovativ umgesetzt werden müssen. Insbesondere das Arbeitsumfeld wird von der fortschreitenden Digitalisierung stark verändert und sieht sich neuen Herausforderungen des Datenschutzes gegenüber. Ein Ansatz, diesen Herausforderungen zu begegnen, könnte die Integration von Privacy Nudges in digitale betriebliche Systeme sein. Ziel von Privacy Nudges ist es dabei, den Entscheidungsprozess in digitalen Entscheidungsumgebungen gezielt zu mehr Schutz von personenbezogenen Daten und Privatheit zu beeinflussen. Diesem Ansatz nähert sich dieser Beitrag interdisziplinär durch Erkenntnisse aus der verhaltensökonomischen, informatischen und der rechtswissenschaftlichen Literatur. Schließlich werden verschiedene Szenarien für den Einsatz von Privacy Nudges in digitalen Arbeitssystemen beschrieben und bewertet.
Barev, T. J.; … Janson, A. (2019): Towards an Integrative Understanding of Privacy Nudging – Systematic Review and Research Agenda. Annual Pre-ICIS Workshop on HCI Research in MIS (Pre-ICIS).
[ BibTeX ] [ EndNote ] [ URL ]
 
@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 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.}, author = {Barev, Torben Jan and Janson, Andreas}, booktitle = {Annual Pre-ICIS Workshop on HCI Research in MIS (Pre-ICIS)}, keywords = {Future_Work Information_Privacy Nudging Personality Privacy_Nudging itegpub pub_aja pub_nudger pub_tba}, title = {Towards an Integrative Understanding of Privacy Nudging – Systematic Review and Research Agenda}, year = 2019 }
%0 Conference Paper %1 ls_leimeister %A Barev, Torben Jan %A Janson, Andreas %B Annual Pre-ICIS Workshop on HCI Research in MIS (Pre-ICIS) %D 2019 %T Towards an Integrative Understanding of Privacy Nudging – Systematic Review and Research Agenda %U http://pubs.wi-kassel.de/wp-content/uploads/2020/03/JML_762neu.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 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.