Study of the Influence of Generation Z Characteristics on the Process of Human Resources Management of the Organization by the Artificial Intelligence System

The article examines the characteristics of generations X, Y, Z, and offers practical recommendations for optimizing the hiring processes and interactions with this group, taking into account their unique characteristics and potential. The relevance of the study is that in today’s society, engulfed in rapid technological change, generation Z is becoming a key participant in the labor market, while more and more studies are devoted to the application of modern methods in the study of the characteristics of generation Z and the use of this fact in human resource management. The scientific novelty is that the study put forward and proved the hypothesis that using the deep learning (DL) model «Random Forest» it is possible to form a forecast of the decision to hire applicants, representatives of generations X, Y, Z. Applicants who scored above the average level receive 1 and can be hired. It is possible to tighten the requirements by raising the "bar" of requirements higher. The program can select the required number of applicants from a ranked series. The results of the study, when statistically processed, indicate that the best candidates can be selected among the representatives of Generation Z using the deep learning method Random Forest.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.33920/vne-04-2412-07
Primary Topic
Regional Economic Development and Innovation
Type
article
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article

Study of the Influence of Generation Z Characteristics on the Process of Human Resources Management of the Organization by the Artificial Intelligence System

Vera Tsygankova, Victoria Moiseeva, Lyubov V. Kuzmina, М. В. Самсонова et al.
Regional Economic Development and Innovation
article

Study of the Influence of Generation Z Characteristics on the Process of Human Resources Management of the Organization by the Artificial Intelligence System

Vera Tsygankova, Victoria Moiseeva, Lyubov V. Kuzmina, М. В. Самсонова, N. I. Lomakin, Наталія Волкова, Ekaterina Samsonova, S. A. Gostyunin
article en

Abstract

The article examines the characteristics of generations X, Y, Z, and offers practical recommendations for optimizing the hiring processes and interactions with this group, taking into account their unique characteristics and potential. The relevance of the study is that in today’s society, engulfed in rapid technological change, generation Z is becoming a key participant in the labor market, while more and more studies are devoted to the application of modern methods in the study of the characteristics of generation Z and the use of this fact in human resource management. The scientific novelty is that the study put forward and proved the hypothesis that using the deep learning (DL) model «Random Forest» it is possible to form a forecast of the decision to hire applicants, representatives of generations X, Y, Z. Applicants who scored above the average level receive 1 and can be hired. It is possible to tighten the requirements by raising the "bar" of requirements higher. The program can select the required number of applicants from a ranked series. The results of the study, when statistically processed, indicate that the best candidates can be selected among the representatives of Generation Z using the deep learning method Random Forest.

(12)
Decent work and economic growth
Openalex Percentile: Top 58%
Regional Economic Development and Innovation
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Study of the Influence of Generation Z Characteristics on the Process of Human Resources Management of the Organization by the Artificial Intelligence System — Vera Tsygankova, Victoria Moiseeva, et al. · (2024) | TGRS Research Map | TGRS