Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A method for digital business ecosystem design: evaluation of two cases in the maritime dataspaces
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-9765-9845
University of Rostock, Germany.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-0870-0330
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-3669-832X
Show others and affiliations
Number of Authors: 52025 (English)In: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374Article in journal (Refereed) Epub ahead of print
Abstract [en]

In contrast to traditional business models, digital business ecosystems (DBEs) have several distinctive features—heterogeneity of involved actors, symbiosis in the exchange of resources, co-evolution of their interactions, and self-organisation. Designing DBEs is a task demanding a well-defined DBE’s scope, roles and responsibilities of the actors, their interactions and dependencies, as well as versatile technologies and data. The study focuses on two DBEs—Marispace-X and Skippo in the maritime domain to capture the tenets of the blue economy with dataspaces. Because the design approaches to DBE are scarce due to the paradigm’s novelty, the study aims to evaluate a model-based design method, DBEmap. The evaluation results concerning practitioners’ perceived usefulness of the DBEmap and its support for integrating DBE-related perspectives and benchmarking DBE resilience are presented. Reflections on the applicability of DBEmap and its implications for organisational support, highlighting the systematic guidance and actionable outcomes observed in the two case workshops, are discussed alongside the study’s limitations and directions for future research.

Place, publisher, year, edition, pages
2025.
Keywords [en]
Dataspace, Digital business ecosystem, Enterprise modelling, Method evaluation
Keywords [sv]
verksamhetsmodellering
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:su:diva-250428DOI: 10.1007/s10270-025-01335-9ISI: 001614708100001Scopus ID: 2-s2.0-105021820737OAI: oai:DiVA.org:su-250428DiVA, id: diva2:2022020
Available from: 2025-12-16 Created: 2025-12-16 Last updated: 2025-12-19

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Tsai, Chen HsiZdravkovic, JelenaStirna, Janis

Search in DiVA

By author/editor
Tsai, Chen HsiZdravkovic, JelenaStirna, Janis
By organisation
Department of Computer and Systems Sciences
In the same journal
Software and Systems Modeling
Information Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 35 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf