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Managing Large-Scale Projects in a Mixed Economy

The work continues the research by the present authors on the management of industrial and infrastructure systems in accordance with the global trend in the digitalization of the economy. A description of the initial fundamental foundations of the ongoing developments and a review of domestic experi...

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Detalles Bibliográficos
Autores principales: Ereshko, F. I., Mushkov, A. Yu., Turko, N. I., Tsvirkun, A. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191552/
http://dx.doi.org/10.1134/S0005117922050083
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author Ereshko, F. I.
Mushkov, A. Yu.
Turko, N. I.
Tsvirkun, A. D.
author_facet Ereshko, F. I.
Mushkov, A. Yu.
Turko, N. I.
Tsvirkun, A. D.
author_sort Ereshko, F. I.
collection PubMed
description The work continues the research by the present authors on the management of industrial and infrastructure systems in accordance with the global trend in the digitalization of the economy. A description of the initial fundamental foundations of the ongoing developments and a review of domestic experience in the use of mathematical models, information and communication technologies, and large amounts of information in the management of systems are given. The issues of centralization and decentralization of control in complex systems are considered. Theoretical constructions of decision making are given to analyze the prospects for the development of partnership between the state and business within the framework of given legal norms. A block of conceptual models corresponding to the level of planning of large-scale organizational systems is given, issues of data preparation and development of algorithmic support, and a combination of macro- and micro-descriptions of economic systems are considered.
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spelling pubmed-91915522022-06-17 Managing Large-Scale Projects in a Mixed Economy Ereshko, F. I. Mushkov, A. Yu. Turko, N. I. Tsvirkun, A. D. Autom Remote Control Thematic Issue The work continues the research by the present authors on the management of industrial and infrastructure systems in accordance with the global trend in the digitalization of the economy. A description of the initial fundamental foundations of the ongoing developments and a review of domestic experience in the use of mathematical models, information and communication technologies, and large amounts of information in the management of systems are given. The issues of centralization and decentralization of control in complex systems are considered. Theoretical constructions of decision making are given to analyze the prospects for the development of partnership between the state and business within the framework of given legal norms. A block of conceptual models corresponding to the level of planning of large-scale organizational systems is given, issues of data preparation and development of algorithmic support, and a combination of macro- and micro-descriptions of economic systems are considered. Pleiades Publishing 2022-06-13 2022 /pmc/articles/PMC9191552/ http://dx.doi.org/10.1134/S0005117922050083 Text en © Pleiades Publishing, Ltd. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Thematic Issue
Ereshko, F. I.
Mushkov, A. Yu.
Turko, N. I.
Tsvirkun, A. D.
Managing Large-Scale Projects in a Mixed Economy
title Managing Large-Scale Projects in a Mixed Economy
title_full Managing Large-Scale Projects in a Mixed Economy
title_fullStr Managing Large-Scale Projects in a Mixed Economy
title_full_unstemmed Managing Large-Scale Projects in a Mixed Economy
title_short Managing Large-Scale Projects in a Mixed Economy
title_sort managing large-scale projects in a mixed economy
topic Thematic Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191552/
http://dx.doi.org/10.1134/S0005117922050083
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