The business model for federated data spaces to facilitate synchromodal logistics

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Vadhe, Ashish
Manuel Pulido, Juan
Boute, Robert
Carlan, Valentin
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Abstract
The logistics industry is undergoing significant transformations, where data sharing has become a critical factor for collaboration and sustainable logistics practices. This paper discusses the development of a taxonomy for business models of federated data spaces in the logistics industry, focusing on their application in synchromodal transport. This foundational study clarifies the operational and economic implications and serves as a basis for innovative business models. Our findings highlight the potential of federated data spaces for improving collaboration and value creation across logistics stakeholders. This study adds to the conversation on digital logistics by proposing business models that leverage data spaces for competitive advantage, implying that these are critical in transforming logistical operations into more efficient, adaptive, and financially viable systems.
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2024-05
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