Publication: Modeling the Economic Cross of Technological Platform for Sectoral Development in the Context of Digitalization
Дата
2022
Авторы
Shikhalieva, D. S.
Bugaenko, M. V.
Timokhin, D. V.
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© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The article examines the trends in the technological development of modern society from an economic point of view. The most valuable areas of technological development and infrastructural and economic conditions for long-term support of relevant trends have been identified. The economic problems and demands that businesses face when designing new industries based on the use of smart technologies and the range of solutions currently used are investigated. in the context of the coronavirus pandemic and a forced experiment to scale up the use of technological platforms that existed at that time. Taking into account the development trends of the innovative economy in 2021–2022. forecasts were made regarding the further development of technological platforms as a factor in the formation of a “smart” economy. The most effective ones from the point of view of the current geoeconomic environment have been identified. The applicability of the economic cross model to solving problems of designing inter-industry technological platforms has been proved. The areas in which the formation of technological platforms based on the model of the economic cross is economically justified are identified. The barriers to the introduction of smart technologies into the sectoral reproduction chains, which can be solved through the development of technological platforms based on the economic cross, are indicated. The directions of adaptation of the economic cross methodology in relation to the needs of the formation of a “smart” technological platform for nuclear energy (within the framework of the project of the state corporation Rosatom) are proposed.
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Цитирование
Shikhalieva, D. S. Modeling the Economic Cross of Technological Platform for Sectoral Development in the Context of Digitalization / Shikhalieva, D.S., Bugaenko, M.V., Timokhin, D.V. // Studies in Computational Intelligence. - 2022. - 1032 SCI. - P. 535-541. - 10.1007/978-3-030-96993-6_59
URI
https://www.doi.org/10.1007/978-3-030-96993-6_59
https://www.scopus.com/record/display.uri?eid=2-s2.0-85127688811&origin=resultslist
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https://openrepository.mephi.ru/handle/123456789/28942
https://www.scopus.com/record/display.uri?eid=2-s2.0-85127688811&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000833484200059
https://openrepository.mephi.ru/handle/123456789/28942