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Econometric modelling in the personnel evaluation system of industrial enterprises

Dubrovina, N. ORCID: 0000-0003-1346-9708, Gerrard, R. J. G. ORCID: 0000-0002-8932-8752, Graser, S. ORCID: 0009-0004-0528-8557 & Tulai, O. ORCID: 0000-0002-5588-7046 (2026). Econometric modelling in the personnel evaluation system of industrial enterprises. Journal of European Economy, 25(2), pp. 232-259. doi: 10.35774/jee2026.02.223

Abstract

This article examines the problem of assessing individual profiles of company employees across the EU, as well as candidate requirements for positions,based on the application of utility theory and the competence-based approach. Particular attention is paid to the justification of differences in the criteria and requirements for candidates on the part of managers representing different generations, who have distinct preferences and values when selecting candidates. The study focused on the processes of candidate evaluation, selection for various positions and salary determination by using competence-based approach for industrial enterprises in EU countries. The aims of the study were to develop a competence-based approach to human resource management in European industrial enterprises; to create a set of mathematical models for individual profiles in human resource management, specifically for evaluating the preferences of HR recruiters and job candidates across different generations; and to analyse wage formation based on competence models. The authors have developed original models that consider various preferences and requirements for candidates for various positions, as well as an objective assessment of salary levels. These models can be used in various candidate assessment programs for various industrial companies in Central and Eastern Europe.

Publication Type: Article
Additional Information: © 2026 Dubrovina, N. , Gerrard, R. J. G. , Graser, S. & Tulai, O. This is an open-access article licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Publisher Keywords: econometric analysis, European Union, human resources, mathematical models, recruitment, utility theory
Subjects: H Social Sciences > HC Economic History and Conditions
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HN Social history and conditions. Social problems. Social reform
Departments: Bayes Business School
Bayes Business School > Faculty of Actuarial Science & Insurance
SWORD Depositor:
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