The model of human capital development with innovative characteristics in digital economy

Autor: Dmitrii Rodionov, Natalya A. Kulagina, Natalia Azarenko, Oleg D. Kazakov
Rok vydání: 2020
Předmět:
Zdroj: IOP Conference Series: Materials Science and Engineering. 940:012032
ISSN: 1757-899X
1757-8981
DOI: 10.1088/1757-899x/940/1/012032
Popis: In the conditions of digital transformation of the economy, the structure of human capital and the instruments of human capital development are changing. The development of human capital management system in the conditions of digital economy development is possible only with the high quality of human capital and the high level of knowledge. A system model is developed, which is represented by the subsystems “The Structure of Human Capital”, “Instruments of Human Capital Development”, “Organizational and Economic Instruments of Human Capital Management”, taking into account the peculiarities of human capital management in the digital economy. To determine the ways to improve the quality of human capital structure and to assess the effectiveness of human capital development tools, an approach to assessing the efficiency level of human capital development, including indicators of qualitative and quantitative assessment, is presented. This will make it possible to take more fully into account all aspects of the management of intellectual resources in the digital economy. In order to be able to classify enterprises by the efficiency level of human capital development with innovative characteristics on the basis of open financial information, machine learning model was created and classification rules were defined.
Databáze: OpenAIRE
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