HR analytics in the context of increasing labor productivity at industry companies
https://doi.org/10.28995/2073-6304-2022-4-8-19
Abstract
The study highlights the priority and importance of digital technology implementation as one of the key factors in the development of the industry sector. In the context of the digitalization of the industrial sector, approaches to managing the labor productivity of IT specialists are of particular importance. In the field of personnel management, the focus is shifting from traditional methods used in HR analytics, which are limited to providing operational reporting, to predictive analytics, capable of building strategic forecasts by analyzing large amounts of data, allowing enterprises to make management decisions in a timely manner. Determination of cause-and-effect relationships between metrics calculated for various categories of personnel positions helps to prevent the outflow of high-potential specialists. It is noted that the application of the digital profile of the employee is the main component for deep analysis of the factors influencing the labor productivity of the personnel. It is emphasized that the use of artificial intelligence is the most promising innovative technology in HR analytics.
About the Authors
N. Yu. Sopilko
Russian State University for the Humanities
Russian Federation
Russian Federation
Natal’ya Yu. Sopilko, Dr. of Sci. (Economics), associate professor
bld. 6, Miusskaya Square, Moscow, 125047
V. V. Gorbacheva
Peoples’ friendship University оf Russia
Russian Federation
Russian Federation
Veronika V. Gorbacheva, postgraduate student
bld. 6, Miklukho-Maklay Street, Moscow, 117198
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Review
For citations:
Sopilko N.Yu., Gorbacheva V.V. HR analytics in the context of increasing labor productivity at industry companies. RSUH/RGGU BULLETIN. Series Economics. Management. Law. 2022;(4):8-19. (In Russ.) https://doi.org/10.28995/2073-6304-2022-4-8-19
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