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Decision Aid Digitalization in Geopolitical Risks Management for Maritime Logistics

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XIV International Scientific Conference “INTERAGROMASH 2021"

Abstract

The article presents digitalization results for decision aids in geo-political risks management for maritime logistics within Industry 4.0 period, in the context of climate change and the COVID-19 pandemic. During the study, the methods of data bases constructing, web-technologies and virtual reality tools are used. Also, there are used Foresight technologies, theory of decision making under uncertainties and risk management. As digitalization tools, online platforms, which integrate heterogeneous hardware and software resources in distributed networks, are proposed to use. The study proposes a structural model that combines investment objectives with the cost of adequate management support adapted to the COVID-19 pandemic and climate change conditions. The use of the developed decision-making tools for managing the geopolitical risks of maritime logistics in the Russian Arctic and Subarctic is demonstrated. The research results presented in this article has significant scientific novelty and can be useful for private investors, public environmental organizations of the civil sector and state environmental control bodies.

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Acknowledgements

While study, Associate Professor Valery M. Abramov, director of Arctic and Subarctic Institute at Russian State Hydrometeorological University (ASI RSHU), gave us very useful consulting. For preliminary discussion and data exchange while this research, we use the platform https://www.researchgate.net/profile/Valery_Abramov2/.

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Correspondence to Vera Golosovskaya .

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Istomin, E., Golosovskaya, V., Rumyantseva, E., Shevchuk, O., Petrov, Y. (2022). Decision Aid Digitalization in Geopolitical Risks Management for Maritime Logistics. In: Beskopylny, A., Shamtsyan, M. (eds) XIV International Scientific Conference “INTERAGROMASH 2021". Lecture Notes in Networks and Systems, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-81619-3_80

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  • DOI: https://doi.org/10.1007/978-3-030-81619-3_80

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  • Online ISBN: 978-3-030-81619-3

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