| Issue |
E3S Web Conf.
Volume 371, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022)
|
|
|---|---|---|
| Article Number | 05006 | |
| Number of page(s) | 9 | |
| Section | Environmental Economics and Management | |
| DOI | https://doi.org/10.1051/e3sconf/202337105006 | |
| Published online | 28 February 2023 | |
Improvement of information support for personnel security systems of the regional economy
Vyatka State University, 610020 Moscow, Russia
* Corresponding author: karanina@vyatsu.ru
The article presents research materials on testing the hypothesis about the priority of principles of relevance and coordination when forming the composition of indicators included in social reporting of companies and statistical books by region. To test the hypothesis general scientific methods of analysis and synthesis, statistical methods for processing data on the use of indicators characterizing the human resources of the region and the company, and the secondary analysis of the results of studies published by Russian scientists on social reporting were used. The lack of proposals on overcoming problems of inconsistency of indicators characterizing human resources of systems at different levels, the region and the company, predetermined the need to study this topic. The authors systematized indicators of the level of human resources of companies and the region, which made it possible to analyze their comparability. The results of the analysis determined both priority principles for formation of the information base on human resources and proposals for its formation. Implementation of the proposals will contribute to the creation of a more informative and coordinated information system on the state of human resources, which is of practical importance in organizing personnel security in the region and in companies.
© The Authors, published by EDP Sciences, 2023
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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