Management Model of Energy Enterprises Innovative Development Within Physiological Working Conditions

Management Model of Energy Enterprises Innovative Development Within Physiological Working Conditions


Vasyl Brych
Petro Mykytyuk
Nataliya Halysh
Olena Borysiak
Ganna Zhekalo
Mariana Sokol

This paper takes into account scientific approaches to mathematical modeling usage of interval data analysis to develop and improve the innovation management system due to effective innovative solutions related to the sale of energy resources and services including physiological working conditions of employees. The research outlines the tools for implementing the strategy of energy companies’ innovative development based on dynamic interval management models of enterprises innovative development, which substantiate management decisions and correlates physiological working conditions of employees. As a result, all these factors make it possible to predict the impact of a system of innovative development factors on the enterprise financial condition. Construction methods of an integrated indicator level combined with workers physiological conditions of energy enterprises innovative development have been used and provided on the optimization of the factor space that creates the company's innovation policy and takes into account its causal links, human factor, physical level of readiness. The article results allowed its usage for modeling the impact of innovation level on the financial performance of energy companies as well as a study of the state of innovative development of energy enterprises in the region. The mathematical modeling has been used to build such a tool for managing the innovative development of energy market enterprises. One of the most effective approaches to modeling the dynamics of economic processes is the set-theoretic approach accompanied with physical level of employee. Within this approach, the models contain parameters and variables represented as sets of guaranteed or acceptable values, or as fuzzy sets with known matching functions.  The paper determines that the advantage of this approach is that it does not require large samples of data (time series) to obtain adequate models, and preliminary study of statistical characteristics of data, such as the law of data distribution and others. The interval models, which describe indicators of economic processes in intervals of possible values or functional corridors, have been chosen as one type of models. It has been proposed to choose gross income as an indicator of the financial condition of energy market enterprises, because the activities of energy companies are essentially the sale of energy resources and services. Accordingly, innovative solutions aimed at improving sales should receive a response to gross sales revenue.  The management mathematical dynamic models proposed in the work scientifically substantiate the decisions made and allow predicting the influence of the system of innovative development factors and physiological working conditions of employees on the financial condition of the enterprise.


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