OPTIMIZATION-INFORMATION MODEL OF ENTERPRISE COMPETITIVENESS MANAGEMENT UNDER RISK CONDITIONS

Autor: Oksana Kliuvak, Nataliia Pavlenchyk, Oksana Kurilina, Grzegorz Pawlowski
Rok vydání: 2022
Předmět:
Zdroj: International scientific journal "Internauka". Series: "Economic Sciences".
ISSN: 2520-2294
DOI: 10.25313/2520-2294-2022-11-8367
Popis: The purpose of the study is to develop an optimization- information model of enterprise competitiveness management under risk conditions. The development of any enterprise under conditions of risk directly depends on its competitiveness. Recognizing the significant scientific and practical contribution of scientists and practitioners in this direction and taking into account the analysis of business practices, it was established that today there are problems that directly relate to the formation and use of applied optimization-information models of enterprise competitiveness management, aimed at increasing its competitiveness, profit growth, and to reduce or avoid risk. Business-risk is the probability of deviation of the actual result from the expected one or even a loss due to uncertainty. Based on the results of the research, a new optimization-information model of enterprise competitiveness management under risk conditions is presented, which, unlike the existing ones, takes into account the concept of total quality management (TQM), certain restrictions on risks, budget and resources. Here, the competitiveness of an enterprise under conditions of risk should be understood as the totality of its components, namely: the efficiency of the enterprise's activities, the competitiveness of the enterprise's products, as well as the concentration of the market on which the enterprise operates under conditions of risk. It is advisable to carry out further research in the direction of evaluating the components of the enterprise's competitiveness in the context of sustainable development. It is also necessary to determine and investigate the functional features of modeling competitive strategies of enterprises under risk conditions.
Databáze: OpenAIRE