E3S Web Conf.
Volume 307, 2021International Interdisciplinary Scientific Conference “Digitalisation and Sustainability for Development Management: Economic, Social, and Ecological Aspects” 2021
|Number of page(s)||10|
|Section||Energy Management and Sustainable Economic Development|
|Published online||22 September 2021|
Multivariate statistical analysis in determining the enterprises’ behavior with resources
1 Institute for International Cooperation Development, 24-26 Kazimierza Wielkiego Str, 61-863 Poznan, Poland
2 Enterprise Economics Department, SHEE “Donetsk National Technical University”, 2 Shybankova Square, 85300 Pokrovsk, Donetsk region, Ukraine
* Corresponding author: email@example.com
The threefold concept of sustainable development is largely based on the optimal use of limited resources. In this case, the development of an effective toolkit for the conscious influence of business entities to the effectiveness of using its resource base deserves special attention. The study attempts to substantiate the existence of several basic (characteristic) enterprises types in terms of resources usage results and to identify the key parameters that form a certain style of behavior. This approach includes the methods of multivariate statistical analysis (cluster and discriminant). The results obtained make it possible to assert the existence of four basic enterprises types with different styles of resource management, which affects the level of their resource security. Special attention was paid to identifying indicators that have the greatest separation power. In addition, the classification functions were built, and their quality was confirmed, which makes it possible to model the situation of targeted impact on individual indicators (forecasting the future situation for correction). The research results should contribute to an increase in the degree of the scientific validity recommendations for business entities on the rational use of their resource base (effective regulating the level of resource security).
© The Authors, published by EDP Sciences, 2021
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.
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