Publikationen

Untenstehend finden Sie alle Publikationen des Projekts Nudger.

2021

• Barev, T.J., Schöbel, S., Janson, A., Leimeister, J.M.: DELEN – A Process Model for the Systematic Development of Legitimate Digital Nudges. In: Chandra Kruse, L., Seidel, S., and Hausvik, G.I. (eds.) International Conference on Design Science Research in Information Systems and Technology (DESRIST). pp. 299-312. Springer, Cham (2021).

  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.
• Barev, T.J., Schwede, M., Janson, A.: The Dark Side of Privacy Nudging – An Experimental Study in the Context of a Digital Work Environment. Hawaii International Conference on System Sciences (HICSS) (2021).

  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

• Barev, T.J., Janson, A., Leimeister, J.M.: Designing Effective Privacy Nudges in Digital Environments: A Design Science Research Approach. International Conference on Design Science Research in Information Systems and Technology (DESRIST). pp. 388-393. Springer, Cham - Vinton G. Cerf Award. (2020).

  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.
• Schöbel, S., Janson, A., Jahn, K., Kordyaka, B., Turetken, O., Djafarova, N., Saqr, M., Wu, D., Söllner, M., Adam, M., Heiberg Gad, P., Wesseloh, H., Leimeister, J.M.: A Research Agenda for the Why, What, and How of Gamification Designs Results on an ECIS 2019 Panel. Communications of the Association for Information Systems. 46, 706-721 (2020).

  This report summarizes the discussion in a panel session on gamification designs at the 2019 European Conference on Information Systems in Stockholm, Sweden. The panel explores a research agenda for gamification design. The “what, why, and how” are considered to analyze the current state of the art of gamification research. An adapted defini-tion of gamification is presented as one outcome of the workshop to better describe what gamification is and what it can be used for. “Why” and “how” to employ gamification are discussed for different contexts. This can be used to gamify information systems, identity outcomes that are addressed by gamification concepts, and explore new ways of how to gamify. Overall, the panel presents new areas for future research and practice by identifying innovative ways to bring existing gamification concepts to a more impactful level.
• Schöbel, S., Barev, T.J., Janson, A., Hupfeld, F., Leimeister, J.M.: Understanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach. Hawaii International Conference on System Sciences (HICSS) (2020).

  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.

2019

• Barev, T.J., Janson, A.: Towards an Integrative Understanding of Privacy Nudging – Systematic Review and Research Agenda. Annual Pre-ICIS Workshop on HCI Research in MIS (Pre-ICIS) (2019).

  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.
• Schomberg, S., Barev, T.J., Janson, A., Hupfeld, F.: Ansatz zur Umsetzung von Datenschutz nach der DSGVO im Arbeitsumfeld: Datenschutz durch Nudging. Datenschutz und Datensicherheit - DuD. 43, 774-780 (2019).

  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.
• Schomberg, S., Barev, T.J., Janson, A., Hupfeld, F.: Ansatz zur Umsetzung von Datenschutz nach der DSGVO im Arbeitsumfeld: Datenschutz durch Nudging. Informatik 2019 - 49. Jahrestagung der Gesellschaft für Informatik (GI). Gesellschaft für Informatik (GI), Kassel, Germany (2019).

  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.

2018

• Janson, A., Schöbel, S.: Nudging Privacy in Digital Work Systems – Towards the Development of a Design Theory. International Conference on Information Systems (ICIS) (2018).

  Digitization changes our society, the way we work and the way we generate value in work systems. More precisely, it equally affects how business and employees organize their work. While there is a tremendous innovation potential for businesses such as more flexible and efficient work arrangements, there are also tremendous privacy risks. Such privacy risks especially relate to issues that employees leave data traces in every working step while being oftentimes not aware of their generated data. Employees leave data traces on intranet platforms such as Wikis and on external work tools such as Slack and reveal not only personal information but also company insights. At the same time companies must handle new privacy regulations such as the European General Data Protection Regulation (GDPR) which do not only affect companies in the European countries but also providers of information systems (IS) all around the world that offer their services in Europe. Thus, innovative approaches for considering challenges that exist because of privacy related issues are needed. A promising approach to overcome the aforementioned privacy issues of digital working environments is the application of digital nudges in IS – small design modifications in digital choice environments which guide peoples’ behavior (Weinmann et al. 2016). The nudge theory – originally derived from behavioral economics– is based on the irrational behavior of human beings. A nudge “is any aspect of the choice architecture that alters people’s behavior in a predictable way without forbidding any options or significantly changing their economic incentives” (Thaler and Sunstein 2008, p. 6) and is typically applied in offline environments, e.g., to nudge individuals for being organ donors through a default opt-in. By relying on the concept of nudging, individuals in digital work system could be nudged to improve their decisions when disclosing data. This is especially prevalent, since many individuals are not aware about how their data is used. As such, there is a lack of research regarding nudging in context of digital work systems and privacy which should be addressed in a socio-technical research approach. By examining the impact and perception of digital nudges in work systems, we want to shed light on the application, design and effects of nudges to overcome challenges that arise because of privacy related issues. We therefore first examine use cases and requirements for nudging in digital work system under the consideration of users, companies and other stakeholders. Since we draw on a socio-technical view, we incorporate requirements that relate to a legal as well as an ethical perspective for nudging privacy. By this means, we develop a design theory for privacy nudging by an iterative design and evaluation process in the field. The ultimate goal is to improve decisions concerning data disclosure and, secondary, increase by this means trust and acceptance of digital work systems by lowering privacy concerns. By developing a design theory, we contribute to the body of knowledge with a more profound understanding of digital nudging in the context of privacy as well as with prescriptive design knowledge for nudging in digital work systems.