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Methods of allocating financial resources when managing technological development of small and medium-sized manufacturing enterprises

ISSUE 10, OCTOBER 2025

PDF  Article PDF Version

Received: 10 April 2025

Accepted: 18 July 2025

Available online: 30 October 2025

Subject Heading: INVESTING

JEL Classification: O16, О32

Pages: 156-169

https://doi.org/10.24891/yjrrfe

Ekaterina A. PANOVA State University of Management (SUM), Moscow, Russian Federation
k79@yandex.ru

https://orcid.org/0000-0002-5830-0087

Subject. This article discusses investment decisions related to management of small and medium-sized manufacturing enterprises’ technological development.
Objectives. The article aims to develop methods to optimize the allocation of financial resources when managing the technological development of the mentioned enterprises.
Methods. For the study, I used the methods of systems analysis, generalization and synthesis, and the dynamic programming method.
Results. Based on the consideration of the particularities of small and medium-sized manufacturing enterprises’ activities affecting the management of their technological development, the article presents a set of economic effects that can be achieved when managing the manufacturing enterprises’ technological development and two methods to optimize the allocation of financial resources based on dynamic programming and simplified calculation algorithms.
Conclusions and Relevance. Small and medium-sized manufacturing enterprises, which are optimally suited to meet market needs due to their initiative, flexibility and individual approach to customers, do not fully use technological opportunities to create new products and improve business practices due to limited access to financial resources. The proposed methods are suitable for small and medium-sized manufacturing enterprises operating in the absence of a well-developed budgeting system and highly specialized employees.

Keywords: technological development, small and medium-sized enterprises, financing optimization, economic efficiency, dynamic programming

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