Safe Interaction Management of State Institutions and Business Entities Based on the Concepts of Evolutionary Economics: Modeling and Scenario Forecasting of Processes

The basis of management processes at macro and micro levels is the adoption of balanced management decisions. Considering the high turbulence of the business environment and a significant number of threats, we can say that a mandatory requirement is to take into account their impact on the security...

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Bibliographic Details
Main Authors: Yevhenii Rudnichenko, Iuliia Dzhereliuk, Larysa Mykhalchyshyna, Svitlana Savina, Valentyna Pokotylova, Nataliia Havlovska
Format: Article
Language:English
Published: UIKTEN 2020-02-01
Series:TEM Journal
Subjects:
Online Access:http://www.temjournal.com/content/91/TEMJournalFebruary2020_233_241.pdf
Description
Summary:The basis of management processes at macro and micro levels is the adoption of balanced management decisions. Considering the high turbulence of the business environment and a significant number of threats, we can say that a mandatory requirement is to take into account their impact on the security of individual entities. Traditional approaches to forecasting socio-economic phenomena and processes do not always justify themselves due to their inertness. Therefore, the study proposes to use the postulates of evolutionary economics in order to better understand the existing phenomena and processes of interaction between state institutions and business entities. A scenario forecasting model for the influence of state institutions on the ecological niche of business entities is also developed. If relevant empirical data is available, it allows not only analyzing the behavior scenarios of individual entities within certain ecological niches, but also making forecasts of the certain scenarios implementation.This is an extremely effective tool for enterprise management from the position of making managerial decisions aimed at ensuring economic security and strategic development of relevant business entities.
ISSN:2217-8309
2217-8333