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Model-Based Digital...
Model-Based Digital Business Ecosystems : A Method Design
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- Tsai, Chen Hsi (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Zdravkovic, Jelena (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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- Stirna, Janis, 1969- (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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(creator_code:org_t)
- Springer, 2023
- 2023
- Engelska.
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Ingår i: Perspectives in Business Informatics Research. - : Springer. - 9783031431258 - 9783031431265 ; , s. 214-228
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In traditional business models, organisations typically work independently and have limited interactions with other entities in the network. In contrast, Digital Business Ecosystems (DBE) foster collaboration, responsibility-taking, and resource sharing between multiple actors, enabling them to leverage their capabilities. Such characteristics require in return well-thought approaches for identification and design of the DBE components and tasks unified in an underlying digital environment. In this study, we address this challenge by proposing a modular model-based method for design of DBE that uses Situational Method Engineering as the underlying methodology and meta-models that describe the concepts and relationships on the modular level. We have illustrated some applications of the method and design task with existing enterprise architecture and enterprise modelling approaches.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
Nyckelord
- Enterprise Modelling
- Digital Business Ecosystem
- Method Engineering
- verksamhetsmodellering
- ekosystem modellering
- digitala affärer
- data- och systemvetenskap
- Computer and Systems Sciences
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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