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Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry

Author

Listed:
  • Tobias Riasanow

    (Technical University of Munich)

  • Lea Jäntgen

    (Technical University of Munich)

  • Sebastian Hermes

    (Technical University of Munich)

  • Markus Böhm

    (Technical University of Munich)

  • Helmut Krcmar

    (Technical University of Munich)

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.

Suggested Citation

  • Tobias Riasanow & Lea Jäntgen & Sebastian Hermes & Markus Böhm & Helmut Krcmar, 2021. "Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 89-104, March.
    • Handle: RePEc:spr:elmark:v:31:y:2021:i:1:d:10.1007_s12525-020-00407-6
    DOI: 10.1007/s12525-020-00407-6
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    3. Vasile MAZILESCU, 2021. "Tourism Industry must benefit from IT&C Hyperautomation," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 97-106.
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    6. Haruo Awano & Masaharu Tsujimoto, 2022. "Mechanisms for Business Ecosystem Members to Capture Value through the Strong Network Effect," Sustainability, MDPI, vol. 14(18), pages 1-13, September.
    7. Wei Zhang & Yangming Fan & Ye Yuan, 2023. "Research on the Symbiotic Model of Supply Chains Based on the Logistic Expansion Model for E-Commerce Platforms," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    8. Jens Poeppelbuss & Martin Ebel & Jürgen Anke, 2022. "Iterative uncertainty reduction in multi-actor smart service innovation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 599-627, June.
    9. Teresa Dominguez Anguiano & Laura Parte, 2024. "The state of art, opportunities and challenges of blockchain in the insurance industry: a systematic literature review," Management Review Quarterly, Springer, vol. 74(2), pages 1097-1118, June.
    10. Frantz Rowe & M. Lynne Markus, 2022. "Taking the measure of digital giants: Amazon and the Social Welfare Computing research agenda," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 437-446, June.
    11. Rainer Alt, 2021. "Electronic Markets on the next convergence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 1-9, March.
    12. Mohammed Muneerali Thottoli & Md. Aminul Islam & Mohd Faizal bin Yusof & Md. Sharif Hassan & Md. Arif Hassan, 2023. "Embracing Digital Transformation in Financial Services: From Past to Future," SAGE Open, , vol. 13(4), pages 21582440231, December.

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