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Autor(en): Baars, Henning
Tank, Ann
Weber, Patrick
Kemper, Hans-Georg
Lasi, Heiner
Pedell, Burkhard
Titel: Cooperative approaches to data sharing and analysis for industrial internet of things ecosystems
Erscheinungsdatum: 2021
Dokumentart: Zeitschriftenartikel
Seiten: 18
Erschienen in: Applied sciences 11 (2021), No. 7547
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-134280
http://elib.uni-stuttgart.de/handle/11682/13428
http://dx.doi.org/10.18419/opus-13409
ISSN: 2076-3417
Zusammenfassung: The collection and analysis of industrial Internet of Things (IIoT) data offer numerous opportunities for value creation, particularly in manufacturing industries. For small and medium-sized enterprises (SMEs), many of those opportunities are inaccessible without cooperation across enterprise borders and the sharing of data, personnel, finances, and IT resources. In this study, we suggest so-called data cooperatives as a novel approach to such settings. A data cooperative is understood as a legal unit owned by an ecosystem of cooperating SMEs and founded for supporting the members of the cooperative. In a series of 22 interviews, we developed a concept for cooperative IIoT ecosystems that we evaluated in four workshops, and we are currently implementing an IIoT ecosystem for the coolant management of a manufacturing environment. We discuss our findings and compare our approach with alternatives and its suitability for the manufacturing domain.
Enthalten in den Sammlungen:10 Fakultät Wirtschafts- und Sozialwissenschaften

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