Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. The Association for Information Systems (AIS), 2021. 2692.
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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T1 - Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking
AU - Burmeister, Fabian
AU - Kurtz, Christian
AU - Vogel, Pascal
AU - Drews, Paul
AU - Schirmer, Ingrid
N1 - Conference code: 42
PY - 2021
Y1 - 2021
N2 - Privacy violations increasingly result from personal-data processing by a convoluted set of actors that collaborate in complex data ecosystems. These data ecosystems comprise numerous socio-technical elements and relations, and their opacity often obscures the manifold reasons for privacy violations. Therefore, researchers and practitioners call for systematic approaches that allow for decomposing data ecosystems in order to receive transparency about the opaque data flows and processing mechanisms across actors. This paper positions architectural thinking as a reasonable means for this need. By collecting key privacy concerns of business and regulatory stakeholders and developing a corresponding data ecosystem architecture meta-model, we provide first steps for extending the scope of architectural thinking to the privacy context. Our results are based on a mixed methods approach, which triangulates data received from a multiple case study of privacy scandals and from 14 expert interviews.
AB - Privacy violations increasingly result from personal-data processing by a convoluted set of actors that collaborate in complex data ecosystems. These data ecosystems comprise numerous socio-technical elements and relations, and their opacity often obscures the manifold reasons for privacy violations. Therefore, researchers and practitioners call for systematic approaches that allow for decomposing data ecosystems in order to receive transparency about the opaque data flows and processing mechanisms across actors. This paper positions architectural thinking as a reasonable means for this need. By collecting key privacy concerns of business and regulatory stakeholders and developing a corresponding data ecosystem architecture meta-model, we provide first steps for extending the scope of architectural thinking to the privacy context. Our results are based on a mixed methods approach, which triangulates data received from a multiple case study of privacy scandals and from 14 expert interviews.
KW - Informatics
KW - Business informatics
M3 - Article in conference proceedings
BT - ICIS 2021 Proceedings
PB - The Association for Information Systems (AIS)
T2 - 42nd International Conference on Information Systems - ICIS 2021 TREOs
Y2 - 12 December 2021 through 15 December 2021
ER -