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Improvement of the method of optimization of innovative risks at mining enterprises under uncertainty

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Category: Economy and management

Last Updated on 24 July 2017

Published on 24 July 2017

Hits: 3661

Authors:

H.L.Verbytska, Cand. Sc. (Econ.), Assoc. Prof., National University “Lviv Polytechnic”, Lviv, Ukraine, e‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract:

Purpose. The aim of the article is the development of theoretical, methodological provisions and practical recommendations for the assessment of innovative risks of mining enterprises based on the theoretical and game modeling.

Methodology. The following methods were used in the research process: economic and mathematical modeling (for developing the method for optimization of innovative risks at mining enterprises under uncertainty on the principles of static theoretical and game); graphical (for visual presentation of research results); analytical, logical and structural (while optimizing the selection of innovative projects by the level of riskiness of investments).

Findings. A comprehensive approach to assessment of innovative risks at mining enterprises under uncertainty with using static theoretical and game modeling was proposed. A clear system of methodical positions suitable and convenient for use in practice has been developed.

Originality. The developed method for optimization of innovative risks at mining enterprises under uncertainty allows enterprises to make choices of innovative projects based on principle of optimality established by them, namely: little risk, minimal risk, moderate risk, minimal weighted average risk, maximum weighted average risk.

Practical value. The obtained results of research are aimed at solving the problem of optimization of innovative risks at mining enterprises. These results can be used in the process of formation of innovative strategy at the mining enterprise.

References

1. Manoilenko, O.V. ed., 2015. Research and optimization of economic processes. Kharkiv: Kharkiv Polytechnic Institute.

2. Matviichuk, A.V., 2007. Modeling of economic processes with the use of fuzzy logic methods. Kyiv: KNEU.

3. Palianytsia, V.A., 2010. Conflicts and risks: applied aspect. Social and economic problems and the state, 1(3), pp. 94‒99.

4. Sigal, A.V., 2014. The Theory of Games for making decisions in the economy. Simferopol: DIAYPI.

5. Shyian, A.A., 2009. Theoretical and game analysis of rational human behavior and making decision in the management of social and economic systems. Vinnitsa: Universum-Vinnytsia.

6. Syrotynska, N.M., 2013. The essence and factors for origin of innovation risks. Scientific and theoretical journal, Khmelnitsky University of Economics “Science and economics”, 1(29), pp. 96‒100.

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2017-07-23  916.41 KB  794

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