Konferenzbeitrag
Agent-based Models as a Method to Analyse Privacy-friendly Business Models in an Assistant Ecosystem
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Dokumententyp
Text/Conference Paper
Datum
2020
Autor:innen
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Quelle
Open Identity Summit 2020
Regular Research Papers
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
Various projects and initiatives strive towards designing privacy friendly open platforms
and ecosystems for digital products and services. However, besides mastering technical challenges,
achieving economic viability and broad market success has so far proven to be difficult for these
initiatives. Based on a publicly funded research project, this study focuses on the business model
design for an open digital ecosystem for privacy friendly and trustworthy intelligent assistants. We
present how the agent-based modelling technique can be employed to evaluate how business models
perform in various constellations of an open digital ecosystem. Thus, our work relates to the strategic
choice of suitable business models as an important success factor for privacy and security-relevant
technologies.