Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/323579 
Erscheinungsjahr: 
2025
Quellenangabe: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 35 [Issue:] 1 [Article No.:] 36 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2025
Verlag: 
Springer, Berlin, Heidelberg
Zusammenfassung: 
Decentralized data ecosystems, enabled by data spaces, are transforming how organizations create and capture value from interorganizational data sharing. However, the implications of such data ecosystems on the business models of data-sharing participants remain underexplored. Based on 26 qualitative interviews with experts from two cases, we delineate and compare two generic business model types for data sharing: bartering , where participants share data reciprocally without direct monetary compensation, and marketplace , where data providers either sell or donate data. By comparing the two cases and their business model types, we find that while decentralization of technical infrastructure and governance enhances value creation, it simultaneously constrains value capture by increasing complexity and costs. Moreover, we demonstrate that the emergence of business model types is determined by the ecosystem’s contextual factors. By contextualizing business models and investigating the influence of decentralization on value creation and capture, our study advances the discourse on the business dimension of data ecosystems. These insights inform both scholars and practitioners navigating the complexities of data ecosystems.
Schlagwörter: 
Data spaces
Decentralized data ecosystems
Data sharing
Business models
Value creation and capture
JEL: 
M15
O3
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