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dc.contributor.authorBaars, Henning-
dc.contributor.authorTank, Ann-
dc.contributor.authorWeber, Patrick-
dc.contributor.authorKemper, Hans-Georg-
dc.contributor.authorLasi, Heiner-
dc.contributor.authorPedell, Burkhard-
dc.date.accessioned2023-08-10T12:43:43Z-
dc.date.available2023-08-10T12:43:43Z-
dc.date.issued2021-
dc.identifier.issn2076-3417-
dc.identifier.other1858039932-
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-134280de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/13428-
dc.identifier.urihttp://dx.doi.org/10.18419/opus-13409-
dc.description.abstractThe 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.en
dc.description.sponsorshipMinistry of Economy, Labor and Tourism Baden-Württembergde
dc.language.isoende
dc.relation.uridoi:10.3390/app11167547de
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de
dc.subject.ddc004de
dc.subject.ddc330de
dc.titleCooperative approaches to data sharing and analysis for industrial internet of things ecosystemsen
dc.typearticlede
dc.date.updated2021-09-13T15:36:52Z-
ubs.fakultaetWirtschafts- und Sozialwissenschaftende
ubs.fakultaetFakultätsübergreifend / Sonstige Einrichtungde
ubs.institutBetriebswirtschaftliches Institutde
ubs.institutFakultätsübergreifend / Sonstige Einrichtungde
ubs.publikation.seiten18de
ubs.publikation.sourceApplied sciences 11 (2021), No. 7547de
ubs.publikation.typZeitschriftenartikelde
Enthalten in den Sammlungen:10 Fakultät Wirtschafts- und Sozialwissenschaften

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