Expert system for managing data on the competencies of a modern manager

In the modern economy, digitalization has become one of the key components of the Russian Federation regions socio-economic development. Enterprises of various industries are faced with the need to process large amounts of data, which greatly complicates data management, and therefore the relevance...

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Main Authors: P. A. Nechaeva, G. R. Yusupova
Format: Article
Language:English
Published: Publishing House of the State University of Management 2023-03-01
Series:Вестник университета
Subjects:
Online Access:https://vestnik.guu.ru/jour/article/view/4171
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author P. A. Nechaeva
G. R. Yusupova
author_facet P. A. Nechaeva
G. R. Yusupova
author_sort P. A. Nechaeva
collection DOAJ
description In the modern economy, digitalization has become one of the key components of the Russian Federation regions socio-economic development. Enterprises of various industries are faced with the need to process large amounts of data, which greatly complicates data management, and therefore the relevance of the analysis of artificial intelligence technologies increases. Training employees for industrial processes is a major challenge in any industry. Effective human resource management requires an accurate assessment and presentation of available competencies, as well as an effective mapping of the required competencies for specific positions. Competences enable the company to achieve high production and economic results.   The aim of the study is to develop a structural model of a predictive expert system for managing data on the competencies of a modern manager by combining artificial and human intelligence, which can serve as a decision support tool for managers in real conditions to improve the efficiency of a particular enterprise.   The study of the demand for managers and requirements for candidates in the Russian Federation and the Republic of Tatarstan was conducted on the data of the largest Russian Internet recruitment company HeadHunter. To develop a structural model of the proposed expert system, information from specialized scientific publications published in the Russian and foreign scientific literature of the Web of science and Scopus databases was used. The expert system will allow the manager to find the best options for using employees, predict the development of the enterprise as a whole and its individual divisions, which will significantly increase the key performance indicators of any company.
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institution Kabale University
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spelling doaj-art-0032ae3c90e345689ddd721163d28c482025-02-04T08:28:15ZengPublishing House of the State University of ManagementВестник университета1816-42772686-84152023-03-0111364710.26425/1816-4277-2023-1-36-472677Expert system for managing data on the competencies of a modern managerP. A. Nechaeva0G. R. Yusupova1Kazan Innovative University named after V. G. Timiryasov (IEML)Kazan Innovative University named after V. G. Timiryasov (IEML)In the modern economy, digitalization has become one of the key components of the Russian Federation regions socio-economic development. Enterprises of various industries are faced with the need to process large amounts of data, which greatly complicates data management, and therefore the relevance of the analysis of artificial intelligence technologies increases. Training employees for industrial processes is a major challenge in any industry. Effective human resource management requires an accurate assessment and presentation of available competencies, as well as an effective mapping of the required competencies for specific positions. Competences enable the company to achieve high production and economic results.   The aim of the study is to develop a structural model of a predictive expert system for managing data on the competencies of a modern manager by combining artificial and human intelligence, which can serve as a decision support tool for managers in real conditions to improve the efficiency of a particular enterprise.   The study of the demand for managers and requirements for candidates in the Russian Federation and the Republic of Tatarstan was conducted on the data of the largest Russian Internet recruitment company HeadHunter. To develop a structural model of the proposed expert system, information from specialized scientific publications published in the Russian and foreign scientific literature of the Web of science and Scopus databases was used. The expert system will allow the manager to find the best options for using employees, predict the development of the enterprise as a whole and its individual divisions, which will significantly increase the key performance indicators of any company.https://vestnik.guu.ru/jour/article/view/4171expert systemmanager competenciesdata managementartificial intelligenceorganization managerhuman resources managementstructural modelforecast model
spellingShingle P. A. Nechaeva
G. R. Yusupova
Expert system for managing data on the competencies of a modern manager
Вестник университета
expert system
manager competencies
data management
artificial intelligence
organization manager
human resources management
structural model
forecast model
title Expert system for managing data on the competencies of a modern manager
title_full Expert system for managing data on the competencies of a modern manager
title_fullStr Expert system for managing data on the competencies of a modern manager
title_full_unstemmed Expert system for managing data on the competencies of a modern manager
title_short Expert system for managing data on the competencies of a modern manager
title_sort expert system for managing data on the competencies of a modern manager
topic expert system
manager competencies
data management
artificial intelligence
organization manager
human resources management
structural model
forecast model
url https://vestnik.guu.ru/jour/article/view/4171
work_keys_str_mv AT panechaeva expertsystemformanagingdataonthecompetenciesofamodernmanager
AT gryusupova expertsystemformanagingdataonthecompetenciesofamodernmanager