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

Authors

Patrick Weber, Ferdinand-Steinbeis-Institut, Stuttgart und Heilbronn, GermanyFollow
Maximilian Werling, Ferdinand-Steinbeis-Institut, Stuttgart und Heilbronn, GermanyFollow
Henning Baars, Universität Stuttgart, Chair of Information SystemsFollow

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 ac-tivities 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 Ser-vice-Dominant Logic as our theoretical lens. We distinguish between dynamic and static design principles. Our approach supports the delineation and specifi-cation of data governance structures for data ecosystems.

Paper Number

314

Comments

Track 10: IT Strategy, Governance & Management

Recommended Citation

Weber, Patrick; Werling, Maximilian; and Baars, Henning, "Design Principles for Institutionalized Data Ecosystems – Results from a Series of Case Studies" (2023). Wirtschaftsinformatik 2023 Proceedings. 67.
https://aisel.aisnet.org/wi2023/67