SHS Web Conf.
Volume 35, 20173rd International Conference on Industrial Engineering (ICIE-2017)
|Number of page(s)||9|
|Section||Sustainable Development of Industrial Enterprises|
|Published online||26 June 2017|
Graphical-analytic model to form investment policy of industrial enterprise
South Ural State University, Chelyabinsk, Russia
* Corresponding author: Pvg777@bk.ru
The article is devoted to the research of graphical-analytic method to form investment policy of industrial enterprise in the capacity of a specific tool to achieve the strategic aim at various stages of life-cycle (LCS). The necessary to formalize the system of estimations is caused by lack of methodological basis of defining quantitative characteristics relying on qualified criteria. To designing graphical-analytic pattern in the capacity of a tool forming investment policy of organisation within the stated development strategy. The comparative analysis of factors that are influencing the investment policy and the stage of organisation life-cycle has been carried out. Theoretical-methodological basis concepts of the development have been considered. All criteria for quantitative estimation of the stage of organisation life-cycle and the performance of investment policy have been proved in the course of the research. The classific characteristics of criteria to estimate the stage of the life-cycle and concepts of investment policy have been formalized. The choice of criteria and interval boundary and its characteristics has been made. The estimation method of the stage of the organisation life-cycle has been introduced. The research, that has been carried out, proves the possibility to develop practical application of graphical-analytic pattern forming investment policy and estimating the stage of life-cycle and type of the investment policy of an analyzed organisation.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Initial download of the metrics may take a while.