How to Share Data Online (fast) – A Taxonomy of Data Sharing Business Models

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dc.contributor.authorSchweihoff, Julia
dc.contributor.authorJussen, Ilka
dc.contributor.authorDahms, Valentin
dc.contributor.authorMöller, Frederik
dc.contributor.authorOtto, Boris
dc.date.accessioned2022-12-27T18:54:37Z
dc.date.available2022-12-27T18:54:37Z
dc.date.issued2023-01-03
dc.description.abstractData is an integral part of almost every business. Sharing data enables new opportunities to generate value or enrich the existing data repository, opening up new potentials for optimization and business models. However, these opportunities are still untapped, as sharing data comes with many challenges. First and foremost, aspects such as trust in partners, transparency, and the desire for security are issues that need to be addressed. Only then can data sharing be used efficiently in business models. The paper addresses this issue and generates guidance for the data-sharing business model (DSBM) design in the form of a taxonomy. The taxonomy is built on the empirical analysis of 80 DSBMs. With this, the primary contributions are structuring the field of an emerging phenomenon and outlining design options for these types of business models.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.078
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.urihttps://hdl.handle.net/10125/102706
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th 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.subjectThe Sharing Economy
dc.subjectdata sharing business models
dc.subjectdata sharing economy
dc.subjectdesign options
dc.subjectempirical analysis
dc.subjecttaxonomy
dc.titleHow to Share Data Online (fast) – A Taxonomy of Data Sharing Business Models
dc.type.dcmitext
prism.startingpage607

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