---
_id: '66070'
abstract:
- lang: ger
text: Der Beitrag stellt einen Online-Quick-Check vor, der KMU einen niedrigschwelligen
Einstieg in industrielle Datenräume ermöglicht. Der Check kombiniert eine zweidimensionale
Einschätzung der Readiness (strategisch/technologisch) mit einer Mehrwert-Priorisierung
zur Ableitung passender Use Cases. In einer Pilotierung (n = 19) zeigen sich v.
a. Defizite bei der Vernetzung, den datenbasierten Entscheidungen und Datenrollen;
priorisiert werden Mehrwerte in Planung, Qualität und Effizienz.
article_type: original
author:
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
orcid: 0009-0001-1003-7558
- first_name: Max
full_name: Grünwoldt, Max
last_name: Grünwoldt
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: Zerbin J, Grünwoldt M, Koldewey C, Dumitrescu R. Ein Quick-Check für Industrielle
Datenräume – Voraussetzungen und Mehrwerte. Zeitschrift für wirtschaftlichen
Fabrikbetrieb. 2026;121(6):458-462. doi:10.1515/zwf-2026-1077
apa: Zerbin, J., Grünwoldt, M., Koldewey, C., & Dumitrescu, R. (2026). Ein Quick-Check
für Industrielle Datenräume – Voraussetzungen und Mehrwerte. Zeitschrift für
wirtschaftlichen Fabrikbetrieb, 121(6), 458–462. https://doi.org/10.1515/zwf-2026-1077
bibtex: '@article{Zerbin_Grünwoldt_Koldewey_Dumitrescu_2026, title={Ein Quick-Check
für Industrielle Datenräume – Voraussetzungen und Mehrwerte}, volume={121}, DOI={10.1515/zwf-2026-1077}, number={6},
journal={Zeitschrift für wirtschaftlichen Fabrikbetrieb}, publisher={Walter de
Gruyter GmbH}, author={Zerbin, Julian and Grünwoldt, Max and Koldewey, Christian
and Dumitrescu, Roman}, year={2026}, pages={458–462} }'
chicago: 'Zerbin, Julian, Max Grünwoldt, Christian Koldewey, and Roman Dumitrescu.
“Ein Quick-Check für Industrielle Datenräume – Voraussetzungen und Mehrwerte.”
Zeitschrift für wirtschaftlichen Fabrikbetrieb 121, no. 6 (2026): 458–62.
https://doi.org/10.1515/zwf-2026-1077.'
ieee: 'J. Zerbin, M. Grünwoldt, C. Koldewey, and R. Dumitrescu, “Ein Quick-Check
für Industrielle Datenräume – Voraussetzungen und Mehrwerte,” Zeitschrift für
wirtschaftlichen Fabrikbetrieb, vol. 121, no. 6, pp. 458–462, 2026, doi: 10.1515/zwf-2026-1077.'
mla: Zerbin, Julian, et al. “Ein Quick-Check für Industrielle Datenräume – Voraussetzungen
und Mehrwerte.” Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 121,
no. 6, Walter de Gruyter GmbH, 2026, pp. 458–62, doi:10.1515/zwf-2026-1077.
short: J. Zerbin, M. Grünwoldt, C. Koldewey, R. Dumitrescu, Zeitschrift für wirtschaftlichen
Fabrikbetrieb 121 (2026) 458–462.
date_created: 2026-06-29T07:18:52Z
date_updated: 2026-10-13T08:02:04Z
department:
- _id: '563'
doi: 10.1515/zwf-2026-1077
intvolume: ' 121'
issue: '6'
keyword:
- KMU
- Data Space
- Data Sharing
- Industrie 4.0
- Datensouveränität
- Readiness
language:
- iso: ger
page: 458-462
publication: Zeitschrift für wirtschaftlichen Fabrikbetrieb
publication_identifier:
issn:
- 2511-0896
- 0947-0085
publication_status: published
publisher: Walter de Gruyter GmbH
quality_controlled: '1'
status: public
title: Ein Quick-Check für Industrielle Datenräume – Voraussetzungen und Mehrwerte
type: journal_article
user_id: '51711'
volume: 121
year: '2026'
...
---
_id: '66071'
abstract:
- lang: eng
text: "Data ecosystems offer new opportunities for value creation by enabling companies
to combine and reuse\r\ndata beyond their own boundaries. Coopetition, i.e., simultaneous
cooperation and competition, is an\r\nimportant dynamic within data ecosystems
that must be understood and managed well to leverage the\r\nnon-rivalrous nature
of data. A systematic literature review of 38 peer-reviewed studies on ecosystems\r\nand
coopetition was conducted to clarify how coopetition affects data ecosystems.
Using qualitative\r\ncontent analysis, the study summarizes how coopetition is
calibrated, what results it produces, and what\r\nchallenges are associated with
it. The resulting Data Ecosystem Coopetition (DECo) model specifies\r\nfour management
levers, as well as the associated outcomes and common challenges. In addition,
six\r\ncycles were identified that link levers, challenges, and outcomes. These
cycles provide concise guidance\r\non elements that tend to vary together and
highlight areas that are prone to specific tensions."
author:
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
orcid: 0009-0001-1003-7558
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Zerbin J, Koldewey C, Dumitrescu R. Towards An Understanding Of Coopetition
In Data Ecosystems: A Systematic Literature Review. In: ECIS 2026 Proceedings.
; 2026.'
apa: 'Zerbin, J., Koldewey, C., & Dumitrescu, R. (2026). Towards An Understanding
Of Coopetition In Data Ecosystems: A Systematic Literature Review. ECIS 2026
Proceedings. The 34th European Conference on Information System (ECIS), Mailand.'
bibtex: '@inproceedings{Zerbin_Koldewey_Dumitrescu_2026, title={Towards An Understanding
Of Coopetition In Data Ecosystems: A Systematic Literature Review}, booktitle={ECIS
2026 Proceedings}, author={Zerbin, Julian and Koldewey, Christian and Dumitrescu,
Roman}, year={2026} }'
chicago: 'Zerbin, Julian, Christian Koldewey, and Roman Dumitrescu. “Towards An
Understanding Of Coopetition In Data Ecosystems: A Systematic Literature Review.”
In ECIS 2026 Proceedings, 2026.'
ieee: 'J. Zerbin, C. Koldewey, and R. Dumitrescu, “Towards An Understanding Of Coopetition
In Data Ecosystems: A Systematic Literature Review,” presented at the The 34th
European Conference on Information System (ECIS), Mailand, 2026.'
mla: 'Zerbin, Julian, et al. “Towards An Understanding Of Coopetition In Data Ecosystems:
A Systematic Literature Review.” ECIS 2026 Proceedings, 2026.'
short: 'J. Zerbin, C. Koldewey, R. Dumitrescu, in: ECIS 2026 Proceedings, 2026.'
conference:
end_date: 2026-06-17
location: Mailand
name: The 34th European Conference on Information System (ECIS)
start_date: 2026-06-14
date_created: 2026-06-29T07:34:44Z
date_updated: 2026-10-13T08:03:09Z
department:
- _id: '563'
keyword:
- data sharing
- interfirm relations
- paradox theory
- strategic alliances
- network governance
language:
- iso: eng
main_file_link:
- url: 'https://aisel.aisnet.org/ecis2026/datasc_isresearch/datasc_isresearch/3 '
publication: ECIS 2026 Proceedings
publication_status: published
quality_controlled: '1'
status: public
title: 'Towards An Understanding Of Coopetition In Data Ecosystems: A Systematic Literature
Review'
type: conference
user_id: '51711'
year: '2026'
...
---
_id: '66073'
abstract:
- lang: eng
text: Data-driven business models are transforming industries, yet small and medium-sized
enterprises (SMEs) often lack the resources to participate in emerging data sharing
initiatives. Data spaces provide a federated infrastructure for sovereign data
sharing, but SME participation remains limited due to complex onboarding processes
involving technical, organizational, legal, and economic barriers. Data trustees
have been proposed as intermediaries to facilitate data sharing, but their specific
role in supporting SME onboarding has not been systematically explored. Here we
present a reference process for SME data space onboarding and derive four design
principles, structured along the TELO framework, describing how data trustees
can address these barriers. Our findings reveal that SMEs require comprehensive
support throughout the onboarding journey, with particular emphasis on business
case development. The results offer actionable guidance for data space operators
and policymakers seeking to broaden ecosystem participation as the European Union
advances its data strategy.
author:
- first_name: Marius Johannes
full_name: Hupperz, Marius Johannes
last_name: Hupperz
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
orcid: 0009-0001-1003-7558
- first_name: Julia
full_name: Kunert, Julia
last_name: Kunert
citation:
ama: 'Hupperz MJ, Zerbin J, Kunert J. Toward Design Principles for Data Trustee-Supported
SME Onboarding in Data Spaces. In: AMCIS 2026 Proceedings. ; 2026.'
apa: Hupperz, M. J., Zerbin, J., & Kunert, J. (2026). Toward Design Principles
for Data Trustee-Supported SME Onboarding in Data Spaces. AMCIS 2026 Proceedings.
America’s Conference on Information Systems (AMCIS) 2026, Reno - Nevada.
bibtex: '@inproceedings{Hupperz_Zerbin_Kunert_2026, title={Toward Design Principles
for Data Trustee-Supported SME Onboarding in Data Spaces}, booktitle={AMCIS 2026
Proceedings}, author={Hupperz, Marius Johannes and Zerbin, Julian and Kunert,
Julia}, year={2026} }'
chicago: Hupperz, Marius Johannes, Julian Zerbin, and Julia Kunert. “Toward Design
Principles for Data Trustee-Supported SME Onboarding in Data Spaces.” In AMCIS
2026 Proceedings, 2026.
ieee: M. J. Hupperz, J. Zerbin, and J. Kunert, “Toward Design Principles for Data
Trustee-Supported SME Onboarding in Data Spaces,” presented at the America’s Conference
on Information Systems (AMCIS) 2026, Reno - Nevada, 2026.
mla: Hupperz, Marius Johannes, et al. “Toward Design Principles for Data Trustee-Supported
SME Onboarding in Data Spaces.” AMCIS 2026 Proceedings, 2026.
short: 'M.J. Hupperz, J. Zerbin, J. Kunert, in: AMCIS 2026 Proceedings, 2026.'
conference:
end_date: 2026-08-22
location: Reno - Nevada
name: America’s Conference on Information Systems (AMCIS) 2026
start_date: 2026-08-20
date_created: 2026-06-29T07:47:42Z
date_updated: 2026-10-13T08:02:50Z
department:
- _id: '563'
keyword:
- Data spaces
- data trustees
- SME Onboarding
- data sharing
language:
- iso: eng
main_file_link:
- url: 'https://aisel.aisnet.org/amcis2026/sigadit/sigadit/5 '
publication: AMCIS 2026 Proceedings
publication_status: published
quality_controlled: '1'
status: public
title: Toward Design Principles for Data Trustee-Supported SME Onboarding in Data
Spaces
type: conference
user_id: '51711'
year: '2026'
...
---
_id: '66072'
abstract:
- lang: eng
text: Data Spaces are establishing themselves as a decentralized alternative for
sovereign data sharing across organizations. However, their adoption faces significant
challenges, particularly the lack of proven business models that encourage participation
and value creation. A data space business model captures value differently than
either traditional business models or platform business models. This paper addresses
this challenge by developing the Data Space Canvas, a structured framework for
designing and aligning business models in data spaces consisting of nine building
blocks. The canvas was developed following the design science research methodology.
The modular and role-specific structure of the Data Space Canvas facilitates shared
understanding and supports business model development across participants. This
research contributes a practical tool that enables organizations to conceptualize,
communicate, and refine their role and business model in data spaces.
author:
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
orcid: 0009-0001-1003-7558
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Zerbin J, Koldewey C, Dumitrescu R. The Data Space Canvas: A Framework For
Structuring Business Models In Data Spaces. In: ECIS 2026 Proceedings.
; 2026.'
apa: 'Zerbin, J., Koldewey, C., & Dumitrescu, R. (2026). The Data Space Canvas:
A Framework For Structuring Business Models In Data Spaces. ECIS 2026 Proceedings.
The 34th European Conference on Information System (ECIS), Mailand.'
bibtex: '@inproceedings{Zerbin_Koldewey_Dumitrescu_2026, title={The Data Space Canvas:
A Framework For Structuring Business Models In Data Spaces}, booktitle={ECIS 2026
Proceedings}, author={Zerbin, Julian and Koldewey, Christian and Dumitrescu, Roman},
year={2026} }'
chicago: 'Zerbin, Julian, Christian Koldewey, and Roman Dumitrescu. “The Data Space
Canvas: A Framework For Structuring Business Models In Data Spaces.” In ECIS
2026 Proceedings, 2026.'
ieee: 'J. Zerbin, C. Koldewey, and R. Dumitrescu, “The Data Space Canvas: A Framework
For Structuring Business Models In Data Spaces,” presented at the The 34th European
Conference on Information System (ECIS), Mailand, 2026.'
mla: 'Zerbin, Julian, et al. “The Data Space Canvas: A Framework For Structuring
Business Models In Data Spaces.” ECIS 2026 Proceedings, 2026.'
short: 'J. Zerbin, C. Koldewey, R. Dumitrescu, in: ECIS 2026 Proceedings, 2026.'
conference:
end_date: 2026-06-17
location: Mailand
name: The 34th European Conference on Information System (ECIS)
start_date: 2026-06-14
date_created: 2026-06-29T07:40:42Z
date_updated: 2026-10-13T08:03:06Z
department:
- _id: '563'
keyword:
- data ecosystems
- business model
- design science
- resource orchestration theory
- data sharing
language:
- iso: eng
main_file_link:
- url: 'https://aisel.aisnet.org/ecis2026/datasc_isresearch/datasc_isresearch/4 '
publication: ECIS 2026 Proceedings
publication_status: published
quality_controlled: '1'
status: public
title: 'The Data Space Canvas: A Framework For Structuring Business Models In Data
Spaces'
type: conference
user_id: '51711'
year: '2026'
...