A Taxonomy for Data Ecosystems

dc.contributor.authorGelhaar, Joshua
dc.contributor.authorGroß, Tobias
dc.contributor.authorOtto, Boris
dc.date.accessioned2020-12-24T20:16:27Z
dc.date.available2020-12-24T20:16:27Z
dc.date.issued2021-01-05
dc.description.abstractIn the increasingly interconnected business world, economic value is less and less created by one company alone but rather through the combination and enrichment of data by various actors in so-called data ecosystems. The research field around data ecosystems is, however, still in its infancy. With this study, we want to address this issue and contribute to a deeper understanding of data ecosystems. Therefore, we develop a taxonomy for data ecosystems which is grounded both theoretically through the linkage to the scientific knowledge base and empirically through the analyses of data ecosystem use cases. The resulting taxonomy consists of key dimensions and characteristics of data ecosystems and contributes to a better scientific understanding of this concept. Practitioners can use the taxonomy as an instrument to further understand, design and manage the data ecosystems their organizations are involved in.
dc.format.extent10 pages
dc.identifier.doihttps://doi.org/10.24251/HICSS.2021.739
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71359
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th 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.subjectManaging the Dynamics of Platforms and Ecosystems
dc.subjectcharacteristics
dc.subjectdata ecosystems
dc.subjecttaxonomy
dc.titleA Taxonomy for Data Ecosystems
prism.startingpage6113

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