L. Filipishyna, L. Hryshyna, I. Zhuvahina, T. Ponedilchuk, I. Paska
{"title":"MODEL SCENARIOS OF SUSTAINABLE DEVELOPMENT STRATEGY IN THE FORMULATION OF MECHANISMS FOR ENTERPRISE SUPPORT RESOURCES","authors":"L. Filipishyna, L. Hryshyna, I. Zhuvahina, T. Ponedilchuk, I. Paska","doi":"10.13165/ie-20-14-1-02","DOIUrl":null,"url":null,"abstract":"In this article we have considered methods of information and analytical support used in the formulation of a sustainable economic development strategy for industrial enterprises. The purpose of this study is the methodological and applied justification for choosing a scenario for sustainable development in the system of strategic management of industrial enterprises in order to improve their performance indicators, competitiveness, and social responsibility. We have offered a methodical approach for the criterion assessment of qualitative, quantitative, and financial indicators of both the enterprise and the external environment’s strategic potential. Analysis of enterprise management systems has been carried out on the basis of calculations taking into account the national program of sustainable development, and a further strategy for the development of industrial enterprises has been offered. It is substantiated that, to form effective strategies aimed at ensuring sustainable economic development, an analytical system of support for strategic decisions is needed. One of the components of such a system is a set of adequate mathematical models that will determine the key factors of the internal environment at an enterprise that affect its sustainable development. Its usage in practice will allow for the optimization of costs in functional areas when developing corporate decomposition strategy, and will allow for the building of determining factor models, the reflection of the relationship between key indicators, the compilation of forecast reports, and the performing of both situational and sensitivity analysis.","PeriodicalId":37115,"journal":{"name":"Intellectual Economics","volume":"14 1","pages":"31-44"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intellectual Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13165/ie-20-14-1-02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this article we have considered methods of information and analytical support used in the formulation of a sustainable economic development strategy for industrial enterprises. The purpose of this study is the methodological and applied justification for choosing a scenario for sustainable development in the system of strategic management of industrial enterprises in order to improve their performance indicators, competitiveness, and social responsibility. We have offered a methodical approach for the criterion assessment of qualitative, quantitative, and financial indicators of both the enterprise and the external environment’s strategic potential. Analysis of enterprise management systems has been carried out on the basis of calculations taking into account the national program of sustainable development, and a further strategy for the development of industrial enterprises has been offered. It is substantiated that, to form effective strategies aimed at ensuring sustainable economic development, an analytical system of support for strategic decisions is needed. One of the components of such a system is a set of adequate mathematical models that will determine the key factors of the internal environment at an enterprise that affect its sustainable development. Its usage in practice will allow for the optimization of costs in functional areas when developing corporate decomposition strategy, and will allow for the building of determining factor models, the reflection of the relationship between key indicators, the compilation of forecast reports, and the performing of both situational and sensitivity analysis.