Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking. / Burmeister, Fabian; Kurtz, Christian; Vogel, Pascal et al.
ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. The Association for Information Systems (AIS), 2021. 2692.

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Burmeister, F, Kurtz, C, Vogel, P, Drews, P & Schirmer, I 2021, Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking. in ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action., 2692, The Association for Information Systems (AIS), 42nd International Conference on Information Systems - ICIS 2021 TREOs, Austin, Texas, USA / Vereinigte Staaten, 12.12.21. <https://aisel.aisnet.org/icis2021/gen_topics/gen_topics/13>

APA

Burmeister, F., Kurtz, C., Vogel, P., Drews, P., & Schirmer, I. (2021). Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking. In ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action Artikel 2692 The Association for Information Systems (AIS). https://aisel.aisnet.org/icis2021/gen_topics/gen_topics/13

Vancouver

Burmeister F, Kurtz C, Vogel P, Drews P, Schirmer I. Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking. in ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. The Association for Information Systems (AIS). 2021. 2692

Bibtex

@inbook{af4e7bbc488f4989a72e217b2f45cbb4,
title = "Unraveling Privacy Concerns in Complex Data Ecosystems with Architectural Thinking",
abstract = "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.",
keywords = "Informatics, Business informatics",
author = "Fabian Burmeister and Christian Kurtz and Pascal Vogel and Paul Drews and Ingrid Schirmer",
note = "Track: General IS Topics, Beitrag 13; 42nd International Conference on Information Systems - ICIS 2021 TREOs : Building Sustainability and Resilience with IS: A Call for Action, ICIS 2021 ; Conference date: 12-12-2021 Through 15-12-2021",
year = "2021",
language = "English",
booktitle = "ICIS 2021 Proceedings",
publisher = "The Association for Information Systems (AIS)",
address = "United States",
url = "https://icis2021.aisconferences.org/",

}

RIS

TY - CHAP

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 -

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