Possibilities of automating the plant personnel recruitment
Svetlana A. Votintseva - Master student. Ural State University of Economics
Anastasiya V. Pesha - Cand. Sc. (Econ.), Associate Professor of the Department of Labour Economics and Personnel Management. Ural State University of Economics
Abstract
The presented research is devoted to determining the possibilities of introducing information technologies in the work of the human resources department of the enterprise for the personnel selection activities automation. The article substantiates the relevance of studying the problem of “personnel shortage” at Russian enterprises in general and in relation to the production enterprise of the Sverdlovsk region. The authors carried out a comparative analysis of the wages at the analyzed enterprise with the average level in the metallurgical industry and in the Sverdlovsk region. Based on the results of the empirical study, the recruitment process’ components are highlighted, the results of the analysis of the photograph of working hours of recruitment specialists of a large manufacturing enterprise in the Sverdlovsk region are presented. The reserves of increasing the productivity of labor time use of human resources specialists of the production enterprise through the automation of a number of processes have been revealed. Recommendations for the introduction of information technologies in improving the recruitment system of the production enterprise are developed. The research paper may be of interest to specialists of personnel management services of large production and industrial enterprises in terms of analyzing the possibilities of automating the business process of personnel recruitment.
Keywords: automation; recruitment; photography of the working day; digital tools for personnel management; digital services.
For citation: Votintseva S. A., Pesha A. V. Possibilities of automating the plant personnel recruitment. Digital models and solutions. 2023. Vol. 2, no. 4. Pp. 52–62. DOI: 10.29141/2949- 477X-2023-2-4-5. EDN: IHTHLV.