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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References
Digital Russia: New Reality Digital McKinsey, 133 p. July 2017 (2017). https://www.mckinsey.com/ru/our-work/mckinsey-digital
One Internet: Global commission on Internet Governance (2016). https://www.cigionline.org/initiatives/global-commission-internet-governance
Baesens, B.: Analytics in a Big Data world: The Essential Guide to Data Science and Its Applications. Wiley, 232 p. (2014)
Bessis, N., Dobre, C.: Big Data and Internet of Things: A Roadmap for Smart Environments. Springer International Publishing, 450 p. (2014)
Fleischmann, A., Schmidt, W., Stary, C.: S-BPM in the Wild. Springer. 282 p. (2015)
Balakrishnan, H., Deo, N.: Discovering communities in complex. In: Proceedings of the 44th Annual Southeast Regional Conference, pp. 280–285 (2006)
Kadushin, C.: Understanding Social Networks: Theories, Concepts, and Findings. OUP USA, 264 p. (2012)
Gorodetskii, V.I.: Self-organization and multiagent systems: I. Models of multiagent self-organization. J. Comput. Syst. Sci. Int. 51(2), 256–281 (2012)
Andreev, V., Glashchenko, A., Ivashchenko, A., Inozemtsev, S., Rzevski, G., Skobelev, P., Shveykin, P.: Magenta multi-agent systems for dynamic scheduling. In: Proceedings of ICAART 2009, Porto, pp. 489–496 (2009)
Delmolino, K., et al.: Step by step towards creating a safe smart contract: lessons and insights from a cryptocurrency lab. In: International Conference on Financial Cryptography and Data Security, pp. 79–94. Springer, Heidelberg (2016)
ISO 31000:2018 - Risk management (2018). URL: https://www.iso.org/obp/ui#iso:std:iso:31000:ed-2:v1:en
Ivaschenko, A.: Multi-agent solution for business processes management of 5PL transportation provider. In: Lecture Notes in Business Information Processing, vol. 170, pp. 110–120 (2014)
Ivaschenko, A., Lednev, A., Diyazitdinova, A., Sitnikov, P.: Agent-based outsourcing solution for agency service management. In: Lecture Notes in Networks and Systems, vol 16, pp 204–215. Springer, Cham (2016)
Ivaschenko, A., Korchivoy, S.: Multi-agent model of infrastructural return for an intermediary service provider. In: Proceedings of the 2018 European Simulation and Modeling Conference (ESM 2018), Ghent, Belgium, EUROSIS-ETI, pp. 192–195 (2018)
Machiraju, V., Sahai, A., Moorsel, A.: Web services management network: an overlay network for federated service management. Hewlett-Packard Laboratories, Hpl hp techreports, 234 p. (2002)
Wei, W., Joseph, K., Liu, H.: Carley KM exploring characteristics of suspended users and network stability on Twitter. Soc. Netw. Anal. Min. 6, 51 (2016)
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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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