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

Patrick Weber (), Maximilian Werling () and Henning Baars ()
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Patrick Weber: Ferdinand Steinbeis Institute
Maximilian Werling: Ferdinand Steinbeis Institute
Henning Baars: University of Stuttgart

A chapter in Transforming the Digitally Sustainable Enterprise, 2025, pp 273-288 from Springer

Abstract: 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.

Keywords: Data ecosystem; Data governance; Service-Dominant Logic; Data collaboration (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-80125-9_16

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DOI: 10.1007/978-3-031-80125-9_16

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