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Design Principles for Institutionalized Data Ecosystems—Results from a Series of Case Studies

Author

Listed:
  • Patrick Weber

    (Ferdinand Steinbeis Institute)

  • Maximilian Werling

    (Ferdinand Steinbeis Institute)

  • Henning Baars

    (University of Stuttgart)

Abstract

Sharing and collaborating on data across organizational boundaries is increasingly important for building a comprehensive data foundation for a variety of relevant analytical models and reports. We argue that a formalized set of rules and responsibilities—data governance—is needed to guide such data sharing activities and thus provide the foundation for an institutionalized data ecosystem. To this end, we propose a set of design principles. Based on three case studies from different application domains, we derive the design principles using Service-Dominant Logic as our theoretical lens. We distinguish between dynamic and static design principles. Our approach supports the delineation and specification of data governance structures for data ecosystems.

Suggested Citation

  • Patrick Weber & Maximilian Werling & Henning Baars, 2025. "Design Principles for Institutionalized Data Ecosystems—Results from a Series of Case Studies," Lecture Notes in Information Systems and Organization,, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-80125-9_16
    DOI: 10.1007/978-3-031-80125-9_16
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