| Issue |
E3S Web Conf.
Volume 164, 2020
Topical Problems of Green Architecture, Civil and Environmental Engineering 2019 (TPACEE 2019)
|
|
|---|---|---|
| Article Number | 09050 | |
| Number of page(s) | 8 | |
| Section | Environmental and Resource Economics | |
| DOI | https://doi.org/10.1051/e3sconf/202016409050 | |
| Published online | 05 May 2020 | |
Economic security evaluation model of enterprises based on the latent variables theory
Voronezh State Technical University, Moskovsky Prospect, 14, Voronezh, 394026, Russia
* Correspondent: mail@moiseevs.ru
The paper presents the model of obtaining a comprehensive assessment of economic security for a group of enterprises. A comprehensive assessment of enterprise ES is based on the assessment of measures for some components of ES. The work highlights the components: financial, information, personnel, technical and technological, legal and power. Much attention is given to the traditional estimation method and an alternative approach based on the Rasch model for estimating latent variables. A comparison of the estimates of ES obtained by different methods is carried out, and using computational experiments, the adequacy and objectivity of the estimates obtained by the method proposed in the work are established. In addition, it was shown that a model based on the theory of latent variables has the following main advantages over the additive model, which follow from the properties of the Rasch model: comprehensive assessments of enterprise ES are their individual characteristics and are independent of the set of components for which the assessment is carried out; EB scores are measured on a linear dimensionless scale that can be easily converted to any other scale; in addition to comprehensive assessments of the ES of enterprises it is possible to obtain estimates of the ES components obtained for the entire group of enterprises, which are also individual for the components and linear.
© The Authors, published by EDP Sciences 2020
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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