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 devel...

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 devel...