Development of a method for determining the dependence of business competitiveness on mobile communication technology
DOI:
https://doi.org/10.15587/2706-5448.2025.326272Keywords:
risk matrix, efficiency matrix, Hurwitz criterion, Sevige criterion, Wald criterionAbstract
The object of this research is the factors that significantly influence the competitiveness of enterprises operating in the modern high-tech society. The paper examines the business environment that actively uses modern mobile communication technologies.
The relevance of this research stems from societal concerns associated with modern mobile communication technologies (3G, 4G, 5G) and the rapid development of 6G, which may pose potential risks. These risks can impact businesses that rely on such technologies in their operations.
This paper proposes an approach to determining the dependence of business competitiveness on mobile communication technologies based on game theory. Performance matrices were constructed, and risk analysis was carried out according to the criteria of Wald, Savage, and Hurwitz. Potential operational strategies were analyzed in the context of environmental states, considering responses to market fluctuations and unpredictable factors. The influence of specific factors on enterprise competitiveness was assessed under conditions of complete uncertainty.
To compare the impact of mobile communication technologies, a simulation model in C# was developed. The study considered 240 enterprises in the market of the Republic of Kazakhstan. Two scenarios were compared: the use of 4G versus 5G technology. The results were visualized as a model ranking enterprise based on the impact of mobile communication technology. A distinctive feature of the study is the identification of environmental states, which served as a basis for grouping risk factors by their influence on competitive position. The minimax and maximin principles were applied to describe enterprise behavior in a competitive environment. The simulation model was split up. The simulation model revealed skewed gains and shortcomings in the competitiveness of enterprises that were monitored.
The proposed approach can be applied to business growth projects, marketing strategy enhancement, and automation of tasks aimed at improving competitiveness in enterprises across all forms of ownership. It is also applicable to banking and credit institutions in the justification and optimization of lending policies.
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