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Ziel des Beitrags ist die Identifikation von Problemen, Meta-Anforderungen und Designprinzipien für den Einsatz von Mixed und Virtual Reality Brillen zur Unterstützung nicht-ärztlichen Fachpersonals bei zahnmedizinischen Hausbesuchen. Im Rahmen von zwei Gruppendiskussionen und einem Experteninterview wurden zunächst mögliche Einsatzszenarien identifiziert. Anschließend wurde eine systematische Literaturrecherche in den Datenbanken CINAHL, Business Source Premier und MEDLINE durchgeführt. In der gefundenen Literatur konnten 14 Probleme bei der Anwendung von Mixed und Virtual Reality Brillen identifiziert werden. Darauf basierend wurden 14 Meta-Anforderungen abgeleitet und in fünf Designprinzipien zusammengefasst. Abschließend wurden die Ergebnisse mit den Spezifikationen der Microsoft HoloLens 2 abgeglichen, um eine Eignung für die Unterstützung der geplanten Hausbesuche festzustellen. Zudem wurde ein Umsetzungskonzept skizziert. Die Ergebnisse dienen als wichtige Empfehlungen für die praxisnahe Umsetzung zukünftiger Konzepte bezüglich der Anwendung von Mixed und Virtual Reality Brillen im (zahn-)medizinischen Kontext. Die Literaturrecherche zeigt eine Forschungslücke im Bereich zahnmedizinischer Hausbesuche auf. Die Ergebnisse dieses Beitrags schaffen daher eine solide Basis für die zukünftige Forschung.
Social networking technologies such as social media, crowd concepts, or gamification represent key resources for the integration of customers, value network partners, and the community into sustainable business models. However, there is a lack of understanding of how sustainable enterprises apply such technologies. To close this gap, we propose a taxonomy of design options for social networking technologies in sustainable business models. Our taxonomy comprises eight dimensions that deal with relevant questions of the design of social networking technologies. When creating our taxonomy, we built on existing literature and use cases and involved experienced practitioners in the field of sustainable business models for the validation of our taxonomy. In this way, our study contributes to knowledge on the use of social networking technologies in sustainable business models and how such technologies influence the boundaries of sustainable business models. Likewise, we provide practical insights into the use of social networking technologies in sustainable business models.
Information systems (IS) play a central role in promoting corporate sustainability and pro-environmental behavior. This study explores the use of mobile apps for fostering sustainability-oriented corporate culture. It accentuates issues relating to sustainability-oriented corporate culture (RQ1), app meta-requirements as a strategic approach to addressing these issues (RQ2), as well as design and implementation principles (RQ3). Referring to the literature on sustainability apps, gamification, and nudging, our qualitative research design combines an analysis of four corporate apps intending to promote sustainable behavior and expert interviews (Grounded Theory). The proposed framework supports the planning, realization, and monitoring of this targeted app use. Single cultural dimensions inform seven issues in culture development. Five meta-requirements address this multi-dimensionality, challenges provided by new digital working environments, and principles of Green IT. Four design principles support, extend, and integrate current knowledge on app features, nudging, and gamification. Five variables determine the app intervention and maturity level. We conclude that this targeted app use should intend to foster the sustainability orientation within all dimensions of corporate culture instead of being limited to promoting sustainable behavior.
In recent years, various studies have highlighted the opportunities of artificial intelligence (AI) for our society. For example, AI solutions can help reduce pollution, waste, or carbon footprints. On the other hand, there are also risks associated with the use of AI, such as increasing inequality in society or high resource consumption for computing power. This paper explores the question how corporate culture influences the use of artificial intelligence in terms of sustainable development. This type of use includes a normative element and is referred to in the paper as sustainable artificial intelligence (SAI). Based on a bibliometric literature analysis, we identify features of a sustainability-oriented corporate culture. We offer six propositions examining the influence of specific manifestations on the handling of AI in the sense of SAI. Thus, if companies want to ensure that SAI is realized, corporate culture appears as an important indicator and influencing factor at the same time.