Abstract
In recent years, the expectation that new businesses and economic value can be created by combining/exchanging data from different fields has risen. However, value creation by data exchange involves not only data, but also technologies and a variety of stakeholders that are integrated and in competition with one another. This makes the data exchange ecosystem a challenging subject to study. In this paper, we propose a framework for describing the stakeholder-centric value chain (SVC) of data by focusing on the relationships among stakeholders in data businesses and discussing creative ways to use them. The SVC framework enables the analysis and understanding of the structural characteristics of the data exchange ecosystem. We identified stakeholders who carry potential risk, those who play central roles in the ecosystem, and the distribution of profit among them using business models collected by the SVC.
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This study was supported by the JSPS KAKENHI (JP19H05577 and JP20H02384), and the Artificial Intelligence Research Promotion Foundation.
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Hayashi, T., Ishimura, G., Ohsawa, Y. (2021). Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem. In: Uehara, H., Yamaguchi, T., Bai, Q. (eds) Knowledge Management and Acquisition for Intelligent Systems. PKAW 2021. Lecture Notes in Computer Science(), vol 12280. Springer, Cham. https://doi.org/10.1007/978-3-030-69886-7_8
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DOI: https://doi.org/10.1007/978-3-030-69886-7_8
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