The Use of the Economic Cross Model in Planning Sectoral Digitalisation
Studies in Computational Intelligence, ISSN: 1860-9503, Vol: 1032 SCI, Page: 528-534
2022
- 2Citations
- 2Captures
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Conference Paper Description
The article examines methodological approaches to organizing planning and forecasting digitalization processes at the industry level. The obstacles and problems faced by the beneficiaries involved in the planning and forecasting of digitalization have been investigated, possible ways to eliminate these obstacles and problems based on the use of the “economic cross” methodology have been investigated. Specific requests in expanding the use of digital technologies at the level of nuclear energy in relation to the economic situation around the project of the state corporation Rosatom “breakthrough” are investigated. The directions of the use of the “economic cross” method are proposed in order to ensure complex interaction of participants in digitalization processes in the nuclear industry on the example of planning, forecasting and formation of contractual agreements between representatives of the state, Rosatom State Corporation and other beneficiaries within the framework of the development of the digital component of the project of the state corporation Rosatom “Breakthrough”. The features of the use of the “economic cross” methodology for the purposes of planning digitalization processes, taking into account the current macro-market sectoral factors, such as the priority of import substitution, sanctions risks, aggravated competition between technological global alliances, have been investigated. Based on the results of the analysis, a system of decisions is proposed for organizing digitalization planning processes in the nuclear power industry using the example of the project for the formation of a two-component nuclear power industry of the state corporation Rosatom “Proryv”.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85127650736&origin=inward; http://dx.doi.org/10.1007/978-3-030-96993-6_58; https://link.springer.com/10.1007/978-3-030-96993-6_58; https://dx.doi.org/10.1007/978-3-030-96993-6_58; https://link.springer.com/chapter/10.1007/978-3-030-96993-6_58
Springer Science and Business Media LLC
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