The adoption of data spaces: Drivers toward federated data sharing

dc.contributor.authorHutterer, Andreas
dc.contributor.authorKrumay, Barbara
dc.date.accessioned2023-12-26T18:44:11Z
dc.date.available2023-12-26T18:44:11Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2023.542
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherc6a76695-1f1f-4458-8a19-2baa9d6cc24b
dc.identifier.urihttps://hdl.handle.net/10125/106926
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectFederated Industrial Platform Ecosystems: Technologies, Business Models, and Data-Driven Artifacts
dc.subjectdata ecosystem
dc.subjectdata spaces
dc.subjectdrivers of adoption
dc.subjectfederation
dc.subjectplatform
dc.titleThe adoption of data spaces: Drivers toward federated data sharing
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractData spaces have gained increasing attention, as they allow federated data sharing among and within participants of interoperable data spaces, for the benefit of all. However, data space initiatives are few in number; moreover, data space adoption among organizations is low. Research thus far has mainly focused on technical factors but lacks a more holistic approach that clarifies what drives data space adoption and federated data sharing as main functions. This exploratory study aims to fill this research gap; it identifies 12 drivers developed by 28 interviewed experts, discussing the coding techniques that are most frequently used in grounded theory. The identified drivers contribute to the current knowledge, while also potentially informing data space projects and organizations’ decisions regarding data space adoption.
dcterms.extent10 pages
prism.startingpage4506

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