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Financial Analytics: Science and Experience
 

Optimizing the use of financial funds allocated for high-tech product development

Vol. 15, Iss. 3, SEPTEMBER 2022

Received: 9 August 2018

Received in revised form: 18 September 2018

Accepted: 22 November 2018

Available online: 30 August 2022

Subject Heading: MATHEMATICAL ANALYSIS AND MODELING IN ECONOMICS

JEL Classification: B41, C41, C51, C65, L51

Pages: 314–331

https://doi.org/10.24891/ea.18.1.164

Aleksandr M. BAT'KOVSKII Moscow Aviation Institute (National Research University) (MAI), Moscow, Russian Federation
batkovsky@yandex.ru

https://orcid.org/0000-0002-5145-5748

Aleksandr V. LEONOV 46th Central Research Institute of RF Ministry of Defense, Moscow, Russian Federation
alex.clein51@yandex.ru

ORCID id: not available

Aleksei Yu. PRONIN 46th Central Research Institute of RF Ministry of Defense, Moscow, Russian Federation
pronin46@bk.ru

ORCID id: not available

Subject. The article considers economic and mathematical tools enabling to optimize the use of financial resources allocated for high-tech product development. The forecast evaluation of project results is possible only at the probabilistic level due to the high degree of uncertainty caused by a variety of random factors.
Objectives. The aim of the study is to develop a universal economic and mathematical toolkit to streamline the use of financial resources allocated for high-tech products creation in a risk environment on the basis of the self-organization principle. The toolkit should provide an opportunity to adjust the funding plan and cost estimates for high-tech product project.
Methods. We employ methods of logical and statistical analysis, the economic-mathematical modeling, game theory, fuzzy logic and expert estimations.
Results. We considered theoretical approaches to economic dynamics regulation, defined principles of self-organization in models of economic dynamics of high-tech production, developed models to optimize the financing process of product creation, offered a complex model of economic dynamics regulation, and estimated the possibility of its use at the stages of high-tech product development.
Conclusions. If applied in practice, the offered models enable to perform technical and economic evaluation of various options of high-tech product creation and choose those ones that ensure the optimal use of financial resources.

Keywords: financing, tool, model, high-technology products

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