A Taxonomy for Data Ecosystems

dc.contributor.author Gelhaar, Joshua
dc.contributor.author Groß, Tobias
dc.contributor.author Otto, Boris
dc.date.accessioned 2020-12-24T20:16:27Z
dc.date.available 2020-12-24T20:16:27Z
dc.date.issued 2021-01-05
dc.description.abstract In 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.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.739
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/71359
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Managing the Dynamics of Platforms and Ecosystems
dc.subject characteristics
dc.subject data ecosystems
dc.subject taxonomy
dc.title A Taxonomy for Data Ecosystems
prism.startingpage 6113
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