Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/288982 
Year of Publication: 
2020
Citation: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 31 [Issue:] 1 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2020 [Pages:] 89-104
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
Digital transformation is continuously changing ecosystems, which also forces established companies to re-evaluate their value proposition. However, only transformations of single ecosystems have been studied. Therefore, this work targets to examine the similarities of digital transformation in five platform ecosystems: automotive, blockchain, financial, insurance, and IIoT. For our analysis, we combine the strengths of conceptual modeling using e3 value with a cluster analysis based on text mining to identify similarities in the respective ecosystems. As a result, we identified 15 clusters. Cluster 01 is the core cluster, containing the roles of organizations from all five ecosystems. Cluster 02–05 are intertwined, as they include roles from at least two ecosystems. Clusters 06–15 are ecosystem-specific that only include roles found in one ecosystem. Scholars and practitioners can use these clusters when analyzing or building a new platform ecosystem, or transforming a traditional ecosystem towards a platform ecosystem.
Subjects: 
Platform ecosystem
Ecosystem
Digital transformation
Ecosystem analysis
Similarities
1.020: Method
3.060: Business networking
3.150: Electronic markets
3.240: Internet of Things
3.260: Interorganisational Systems
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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