OPTIMISATION MODELS OF INVESTMENT MANAGEMENT IN THE ACTIVITIES OF INNOVATIVE ENTERPRISES

Authors

  • Lyudmila Ganushchak-Efimenko Kyiv National University of Technologies and Design
  • Iryna Hnatenko Kyiv National University of Technologies and Design
  • Roman Kozhushko Kyiv National University of Technologies and Design
  • Rafał Rębilas Akademia WSB
  • Viktoriia Rubezhanska Luhansk Taras Shevchenko National University
  • Tetiana Krakhmalova Kyiv National University of Technologies and Design

DOI:

https://doi.org/10.15544/mts.2020.22

Keywords:

algorithm, innovation enterprise, innovation project, investment management, optimization model

Abstract

In a global economic competition, the countries that provide favorable conditions for efficient investment and innovation are winning. At the same time, the problem of sufficient investment support for enterprises, which, in turn, can be solved by economic and mathematical modeling of the investment management process becomes especially relevant. In this regard, the purpose of our study is to develop an algorithm for making the optimal decision on the feasibility of implementing a particular innovation project based on the calculation of optimization models of investment management. To achieve this goal, the following methods of scientific research were used: economic-mathematical modeling, abstract-logical method, graphical method. According to the results of the research, the decision-making algorithm on the feasibility of implementing a particular innovation project can be used by entrepreneurs-innovators to plan, forecast, control production processes, cash, material and investment flows at the enterprise, as well as to determine the necessary financial capabilities, efficiency, risk innovative project.

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Published

2020-10-10

How to Cite

Ganushchak-Efimenko, L., Hnatenko, I., Kozhushko, R., Rębilas, R., Rubezhanska, V., & Krakhmalova, T. (2020). OPTIMISATION MODELS OF INVESTMENT MANAGEMENT IN THE ACTIVITIES OF INNOVATIVE ENTERPRISES. Management Theory and Studies for Rural Business and Infrastructure Development, 42(3), 225–234. https://doi.org/10.15544/mts.2020.22

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Articles