Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
Data spaces are paving the way for decentralized data ecosystems to emerge in practice. However, our understanding of their influence on how data providers and consumers create and capture value remains limited. Based on 22 qualitative interviews with experts from two cases, we delineate two generic business model types for data sharing enabled by the ecosystem context: bartering and marketplace. In the first case, Catena-X, participants barter data for data to capture value indirectly. Conversely, in the second case, the Mobility Data Space, the underlying marketplace model enables data providers to sell or donate data to consumers. By comparing the two cases and their generic business model types, we explore the impact of decentralization on value creation and capture.
Recommended Citation
Ammann, Jana, "Data Sharing is Caring – A Multiple Case Study on Business Model Types in Decentralized Data Ecosystems" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 2.
https://aisel.aisnet.org/hicss-58/in/data_ecosystems/2
Data Sharing is Caring – A Multiple Case Study on Business Model Types in Decentralized Data Ecosystems
Hilton Waikoloa Village, Hawaii
Data spaces are paving the way for decentralized data ecosystems to emerge in practice. However, our understanding of their influence on how data providers and consumers create and capture value remains limited. Based on 22 qualitative interviews with experts from two cases, we delineate two generic business model types for data sharing enabled by the ecosystem context: bartering and marketplace. In the first case, Catena-X, participants barter data for data to capture value indirectly. Conversely, in the second case, the Mobility Data Space, the underlying marketplace model enables data providers to sell or donate data to consumers. By comparing the two cases and their generic business model types, we explore the impact of decentralization on value creation and capture.
https://aisel.aisnet.org/hicss-58/in/data_ecosystems/2