z-logo
open-access-imgOpen Access
Development of information technology to identify the imbalance between labor and educational services markets in the construction sector
Author(s) -
Irina V. Udovenko,
Tatyana Zaytseva,
Natalia P. Putivzeva
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/650/1/012092
Subject(s) - affect (linguistics) , human resources , software , business , computer science , industrial organization , economics , psychology , management , communication , programming language
The paper analyzes the current state of the labor market in Russia, shows the need to improve mathematical and software tools for managing the regional human resources potential and the imbalance between the labor markets (LM) and educational services market (ESM), and suggests an approach to building a model for identifying criteria that affect LM and ESM in the construction sector on the example of the Belgorod region. The features of the development of the construction sector in the Belgorod region are considered. Based on the analysis of the collected statistical data and expert judgments, groups of criteria and criteria in each group that affect the amount of imbalance are identified. A generalized model for determining the balance between LM and ESM is constructed in the form of a system of equations. The paper presents a model of interaction between markets in the form of criteria and their groups, which allows determining the imbalance between the labor and educational services markets in the Belgorod region. The developed software tools are presented for determining the most influential criteria and their groups, as well as for the initial calculation of the imbalance. The program sets the number of groups of criteria and the number of criteria in each group. The following matrices are filled in: probabilities of criteria influence, criteria significance, criteria signs. The values of influence and weights for groups of criteria, minimum and maximum values for groups, and the imbalance between LM and ESM are calculated.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here