Issue |
E3S Web Conf.
Volume 166, 2020
The International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2020)
|
|
---|---|---|
Article Number | 13012 | |
Number of page(s) | 6 | |
Section | Sustainable Economy | |
DOI | https://doi.org/10.1051/e3sconf/202016613012 | |
Published online | 22 April 2020 |
Methodical approach to the assessment of human capital level of machine-building enterprises
1
Zaporizhzhia National University, Faculty of Managements, Zaporizhzhia, 69600, Ukraine
2
Zaporizhzhia National University, Faculty of Economics, Zaporizhzhia, 69600, Ukraine
* Corresponding author: vitalos.2704@gmail.com
Human capital is a key factor in the success of any enterprise. Since human capital, like other types of capital, is prone to exposure to various types of risk and an important task of any enterprise is to assess the level of human capital. This paper proposes the author’s approach to the formation of the structural components of human capital. Its structure included three sets of indicators that characterize educational, intellectual and physical capital. Also, a methodological approach is proposed to evaluate the human capital level of machine-building enterprises, which consists of three interrelated stages. The methodological approach is based on a point evaluation of the indicators included in the human capital structure based on the questionnaire (polling) of the personnel of the analyzed machine-building enterprises. The assessment of the level of human capital was carried out separately for two groups of workers. It is established that the total value of the integral index of human capital corresponds to the average level for all examined enterprises and ranges from 0,463 to 0,585. It has been found that the personnel at the machine-building enterprises have a great potential for development and a high propensity for change. The advantage of human capital assessment on the basis of its structural components is the ability to determine the optimal need for human resources and forecast the cost of supporting and developing human capital.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.