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Paper Number
1878
Paper Type
Short
Description
Data ecosystems are an emerging theme in IS research. They represent the complex dynamics of inter-organizational value co-creation based on data sharing. Interestingly, empirical research on the value that the various actors can extract from participating in a data ecosystem is still sparse. We address this issue by analyzing 64 Gaia-X use cases, each representing a data ecosystem. From them, we derive roles relevant to data ecosystems and describe them according to typical ontological business model elements (value proposition, value creation, value delivery, and value capture). To visualize the value co-creation in data ecosystems, we use the modeling language e3-value. We illustrate this approach by modeling the specific Agri-Gaia use case. Our work contributes to understanding value co-creation in data ecosystems more in-depth as we extract roles, demonstrate how to model actors and their value co-creation, and discuss the implications of a service ecosystems perspective.
Recommended Citation
Azkan, Can; Möller, Frederik; Ebel, Martin; Iqbal, Taskeen; Otto, Boris; and Poeppelbuss, Jens, "Hunting the Treasure: Modeling Data Ecosystem Value Co-Creation" (2022). ICIS 2022 Proceedings. 14.
https://aisel.aisnet.org/icis2022/entren/entren/14
Hunting the Treasure: Modeling Data Ecosystem Value Co-Creation
Data ecosystems are an emerging theme in IS research. They represent the complex dynamics of inter-organizational value co-creation based on data sharing. Interestingly, empirical research on the value that the various actors can extract from participating in a data ecosystem is still sparse. We address this issue by analyzing 64 Gaia-X use cases, each representing a data ecosystem. From them, we derive roles relevant to data ecosystems and describe them according to typical ontological business model elements (value proposition, value creation, value delivery, and value capture). To visualize the value co-creation in data ecosystems, we use the modeling language e3-value. We illustrate this approach by modeling the specific Agri-Gaia use case. Our work contributes to understanding value co-creation in data ecosystems more in-depth as we extract roles, demonstrate how to model actors and their value co-creation, and discuss the implications of a service ecosystems perspective.
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14-DigitalInnovation