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http://dx.doi.org/10.18419/opus-13409
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 |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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applsci-11-07547-v2.pdf | 2,03 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons