DEVELOPMENT OF SOCIALLY RESPONSIBLE DECISIONS IN CONDITIONS OF UNCERTAINTY

Abstract: the paper considers certain models of decision-making in a complex situation, as well as definitions related to decision-making in different difficult circumstances. Such as, for example, «risk», «certainty», «uncertainty». In order to ensure the stability of the company’s functioning in the changing, uncertain circumstances of management, it is necessary to implement and apply the key principles of strategic management, the implementation of which is obliged to be carried out, first of all, through the adoption of effective socially responsible management decisions based on a systematic approach, analysis of external and internal factors that directly or indirectly have a great influence on the work of the enterprise. In addition, certain methods and models of decision-making are considered. The object of the research is the system of making socially responsible management decisions in difficult conditions. The subject of research is a set of methods, forms and methods of development of socially responsible decisions in difficult situations. The aim of the work is to analyze the features of the development of socially responsible solutions in difficult situations. The main objectives of the study were as follows: to consider the concept and essence of the model of the process of developing socially responsible decisions in difficult conditions; to characterize the features of the analysis of the use of the model in management decision-making; to study the methods of optimization of management decisions; to analyze the development of socially responsible decisions in difficult situations on the example of JSC «Kurskij Hlebokombinat»; to calculate the effectiveness of the proposed measures. Main research methods: economic-statistical, graphic, systematic approach, monographic, comparative research, interviews.

Keywords: management, risk, uncertainty, socially responsible decision, management decision, management efficiency, economic and statistical analysis, decision criteria, profitability

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