A. A. Nasution, Liudmyla Nechyporuk, Zoia Hryhorova, Yevheniia Karpenko
{"title":"CORPORATE STRATEGY FOR MANAGING EVOLUTIONARY PROCESSES OF THE ENTERPRISE DEVELOPMENT","authors":"A. A. Nasution, Liudmyla Nechyporuk, Zoia Hryhorova, Yevheniia Karpenko","doi":"10.51586/2754-6209.2023.11.1.52.66","DOIUrl":null,"url":null,"abstract":"The method for analyzing phase portraits of bifurcation diagrams of enterprise life cycle scenario models using IT pattern recognition has been proposed, which allowed to numerically determine the geometric parameters of the spatial forms that form the surfaces of phase portraits, and their size, corresponding to the loci of stability and interaction of four\npopulations in a network of trophic relations. To analyze the results of the recognition of phase portraits of ELC bifurcation diagrams, singular points of perturbation, attenuation, cycles, equilibrium, their stability, the input examples of the state of bifurcation have been classified into five separate clusters in accordance with the ELC development scenarios. An IT support algorithm for the corporate strategy for managing the evolutionary processes of enterprise development has been developed. It covers the following stages: analysis and evaluation of the internal and external environment of the enterprise population and trophic relations; identification of possible motives for changing trophic relations and causes of synergy; studies of the nonlinear dynamics of ELC model scenarios; analysis of many strategic alternatives; selection of a strategy and preparation of a strategic plan; monitoring the results of achieving a synergistic effect, which will allow choosing strategies depending on the ELC stages and ensuring the competitiveness of the enterprise.","PeriodicalId":52251,"journal":{"name":"Review of Economics and Finance","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Economics and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51586/2754-6209.2023.11.1.52.66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0
Abstract
The method for analyzing phase portraits of bifurcation diagrams of enterprise life cycle scenario models using IT pattern recognition has been proposed, which allowed to numerically determine the geometric parameters of the spatial forms that form the surfaces of phase portraits, and their size, corresponding to the loci of stability and interaction of four
populations in a network of trophic relations. To analyze the results of the recognition of phase portraits of ELC bifurcation diagrams, singular points of perturbation, attenuation, cycles, equilibrium, their stability, the input examples of the state of bifurcation have been classified into five separate clusters in accordance with the ELC development scenarios. An IT support algorithm for the corporate strategy for managing the evolutionary processes of enterprise development has been developed. It covers the following stages: analysis and evaluation of the internal and external environment of the enterprise population and trophic relations; identification of possible motives for changing trophic relations and causes of synergy; studies of the nonlinear dynamics of ELC model scenarios; analysis of many strategic alternatives; selection of a strategy and preparation of a strategic plan; monitoring the results of achieving a synergistic effect, which will allow choosing strategies depending on the ELC stages and ensuring the competitiveness of the enterprise.