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Paper Type
Complete
Description
Integrating digital technologies offer companies a range of potentials for optimizing business processes, exploring new business models and collaborating along value chains to co-create value. However, this integration increases complexity, especially within SMEs that lack extensive resources to drive data transformation. GAIA-X offers potential solutions in form of federated services as a low-threshold way to participate in federated data ecosystems. Thus, in this paper we survey the current state of research on GAIA-X by means of a literature review extracting and collecting design knowledge as well as to prepare further implementation within the scope of our research project. Therefore, we build a concept matrix in which we differentiate the identified body of knowledge by three concepts with 18 characteristic expressions in total. Our analysis of the identified papers highlights architectural approaches for designing a GAIA-X compatible data ecosystem, augmented by additional factors to consider when designing these ecosystems.
Paper Number
1822
Recommended Citation
Hefft, Daniel and Große, Nick, "Design Knowledge for GAIA-X-compliant Ecosystems: A Literature Review" (2023). AMCIS 2023 Proceedings. 2.
https://aisel.aisnet.org/amcis2023/sig_services/sig_services/2
Design Knowledge for GAIA-X-compliant Ecosystems: A Literature Review
Integrating digital technologies offer companies a range of potentials for optimizing business processes, exploring new business models and collaborating along value chains to co-create value. However, this integration increases complexity, especially within SMEs that lack extensive resources to drive data transformation. GAIA-X offers potential solutions in form of federated services as a low-threshold way to participate in federated data ecosystems. Thus, in this paper we survey the current state of research on GAIA-X by means of a literature review extracting and collecting design knowledge as well as to prepare further implementation within the scope of our research project. Therefore, we build a concept matrix in which we differentiate the identified body of knowledge by three concepts with 18 characteristic expressions in total. Our analysis of the identified papers highlights architectural approaches for designing a GAIA-X compatible data ecosystem, augmented by additional factors to consider when designing these ecosystems.
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