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The Economics of Data-Sharing: An Empirical Investigation of Data Sharing Ecosystems

Lucas Eustache (), Eric Brousseau () and Joëlle Toledano ()
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Lucas Eustache: Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres
Eric Brousseau: Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres
Joëlle Toledano: Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres

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Abstract: Data-sharing ecosystems (DSEs) emerge as key organizational arrangements for digital innovation, yet their economic and governance foundations remain poorly understood. Drawing on qualitative evidence from major European DSEs, this study identifies six conditions that shape viability, ranging from investment needs and innovation logic to integration complexity, security management, competitive dynamics, and interest alignment. The findings show that these conditions evolve across the development of DSEs, and that sustainability depends both on the ability to establish tailored use cases and on how orchestrators adapt governance to the ecosystem structure. The study contributes to ecosystem and platform theory by reframing DSEs as generative, innovation-driven structures, conceptualizing economic viability as phasecontingent, and integrating strategic and technical governance roles into a unified, contextdependent model. These insights advance theoretical understanding of ecosystem economics and provide guidance for the design of data ecosystems capable of achieving long-term sustainability.

Keywords: Interorganizational data sharing; Data-sharing ecosystems; Platform governance; Digital ecosystems; Ecosystem sustainability; Interorganizational data sharing Data-sharing ecosystems Platform governance Digital ecosystems Ecosystem sustainability (search for similar items in EconPapers)
Date: 2025-12-14
New Economics Papers: this item is included in nep-reg
Note: View the original document on HAL open archive server: https://hal.science/hal-05542222v1
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Published in International Conference on Information Systems, AIS, Dec 2025, Nashville (Tenessee), United States

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