Discovering Business Models of Data Marketplaces

dc.contributor.author Fruhwirth, Michael
dc.contributor.author Rachinger, Michael
dc.contributor.author Prlja, Emina
dc.date.accessioned 2020-01-04T08:22:34Z
dc.date.available 2020-01-04T08:22:34Z
dc.date.issued 2020-01-07
dc.description.abstract The modern economy relies heavily on data as a resource for advancement and growth. Data marketplaces have gained an increasing amount of attention since they provide possibilities to exchange, trade and access data across organizations. Due to the rapid development of the field, the research on business models of data marketplaces is fragmented. We aimed to address this issue in this article by identifying the dimensions and characteristics of data marketplaces from a business model perspective. Following a rigorous process for taxonomy building, we propose a business model taxonomy for data marketplaces. Using evidence collected from a final sample of twenty data marketplaces, we analyze the frequency of specific characteristics of data marketplaces. In addition, we identify four data marketplace business model archetypes. The findings reveal the impact of the structure of data marketplaces as well as the relevance of anonymity and encryption for identified data marketplace archetypes.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.704
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64446
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd 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 business model
dc.subject data-driven service
dc.subject data marketplace
dc.subject taxonomy development.
dc.title Discovering Business Models of Data Marketplaces
dc.type Conference Paper
dc.type.dcmi Text
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