Abstract
The authors studied financing issues in the development of human capital in mining industry. They analyzed the distribution of financial resources in the field under current conditions of the economic activity decrease at the enterprises in connection with the spread of coronavirus infection. An assessment of the demand for vacancies by profession, region and wage level was made. The issues of enterprise personnel management in the form of a set of interacting and interconnected HR-technologies that allow enterprises to manage the staff and work more efficiently are studied. The authors concluded that an important aspect of the quality personnel training and the development of modern companies is a properly built system of improving the quality of human capital, as well as, measures for ensuring safety and preserving health, improving the qualification level, creating conditions for creativity and labor potential growth.
Highlights
The global economy is undergoing significant changes due to the coronavirus pandemic
The events of the last period were reflected in the processes of human capital development in mining companies
Mining companies transferred work as it is possible to the remote mode, tightened control over the employees’ health, and invest financial resources in special equipment and personal protective equipment
Summary
The global economy is undergoing significant changes due to the coronavirus pandemic. The events of the last period were reflected in the processes of human capital development in mining companies This is due, first, to a decline in production in the global economy, a decrease in demand for the products of mining enterprises, including Russian coal, as well as to the closure of border checkpoints and the stoppage of railway deliveries. Mining companies transferred work as it is possible to the remote mode, tightened control over the employees’ health, and invest financial resources in special equipment and personal protective equipment. They purchase special equipment and test systems. They allow getting analysis results within half an hour, which makes them one of the fastest in the world [1]
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