Agent-based Models as a Method to Analyse Privacy-friendly Business Models in an Assistant Ecosystem
Abstract
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.
- Citation
- BibTeX
Kubach, M., Fähnrich, N. & Mihale-Wilson, C.,
(2020).
Agent-based Models as a Method to Analyse Privacy-friendly Business Models in an Assistant Ecosystem.
In:
Roßnagel, H., Schunck, C. H., Mödersheim, S. & Hühnlein, D.
(Hrsg.),
Open Identity Summit 2020.
Bonn:
Gesellschaft für Informatik e.V..
(S. 109-120).
DOI: 10.18420/ois2020_09
@inproceedings{mci/Kubach2020,
author = {Kubach, Michael AND Fähnrich, Nicolas AND Mihale-Wilson, Cristina},
title = {Agent-based Models as a Method to Analyse Privacy-friendly Business Models in an Assistant Ecosystem},
booktitle = {Open Identity Summit 2020},
year = {2020},
editor = {Roßnagel, Heiko AND Schunck, Christian H. AND Mödersheim, Sebastian AND Hühnlein, Detlef} ,
pages = { 109-120 } ,
doi = { 10.18420/ois2020_09 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Kubach, Michael AND Fähnrich, Nicolas AND Mihale-Wilson, Cristina},
title = {Agent-based Models as a Method to Analyse Privacy-friendly Business Models in an Assistant Ecosystem},
booktitle = {Open Identity Summit 2020},
year = {2020},
editor = {Roßnagel, Heiko AND Schunck, Christian H. AND Mödersheim, Sebastian AND Hühnlein, Detlef} ,
pages = { 109-120 } ,
doi = { 10.18420/ois2020_09 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
DOI: 10.18420/ois2020_09
ISBN: 978-3-88579-699-2
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2020
Language:
(en)

Content Type: Text/Conference Paper