Abstract
Modern trends of digitalization cover most areas of modern economics. One of the most promising technologies in this area is concerned with Big Data analysis that allows processing various events in real time. Being applied together with the Internet of Things approach it allows to develop a powerful toolset for monitoring and management of business processes in social and economic systems. The model of infrastructural return is based on formalization of products and facilities in the form of interrelated services that require single or multiple actions of certain costs. Implementation of these services based on the considered digital platform is presented in the form of a network that contains the objects of IT infrastructure, service providers and providing services interlinked by the relations of infrastructural supply and implementation. Using this model there is formalized an effect of services emission that describes the process of generation of new services based on existing services and utilization events combination and intersection. To support such a feature there was developed a knowledge base implemented in the form of Ontology. The proposed model was used in practice as a part of Internet based virtual intermediary operator that provides digital services in transportation logistics.
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Ivaschenko, A., Korchivoy, S., Spodobaev, M. (2020). Infrastructural Models of Intermediary Service Providers in Digital Economy. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-29513-4_44
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DOI: https://doi.org/10.1007/978-3-030-29513-4_44
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