Model of the Influence of Employee Competencies on Performance Considering Burnout

Lev S. Mazelis, Gleb V. Grenkin and Kirill I. Lavrenyuk

Journal of Applied Economic Research, 2024, vol. 23, issue 1, 227-250

Abstract: The study was conducted as part of a current task of studying factors in the development of an organization's human capital that have a direct or indirect impact on employee productivity. The set of such factors includes indicators of the level of development of competencies and the degree of burnout of the individual. The work aims to develop economic and mathematical tools that would quantitatively describe the impact of employee competency values on their key performance indicators (KPIs), taking into account the level of burnout determined by the values of loyalty, involvement, and satisfaction. To achieve this goal, a hypothesis is put forward about the possibility of constructing a tool that makes it possible, based on a fuzzy classification of employees by level of competency development, to construct functional dependencies of KPIs on burnout indicators for each category. The initial data used were the results of a self-assessment of competencies and burnout of employees, mainly working in the areas of IT and HR in seven large Russian companies, calibrated by the immediate supervisors of the respondents, and the actual values of their KPIs. The work proposes an approach that includes two stages. As the first step, a fuzzy model is built that makes it possible, based on a weighted integral indicator of competency development with optimal weighting coefficients, to divide the range of values of the integral indicator into categories of uneven size, with the help of which it is possible to predict the achievement of KPIs. As the second step, an econometric model of the dependence of KPI on employee burnout indicators was built using the weighted least squares method to explain the dispersion of KPI values of employees belonging to individual competency categories in a fuzzy formulation, around the expected KPI value. The proposed tool will make it possible to predict the achievement of KPIs by employees depending on the input values of competencies and the level of burnout. In the future, this will make it possible to form an optimal portfolio of well-being program activities that will influence the development of employee competencies and reduce their level of burnout, and, therefore, contribute to the maximum progress in achieving target KPI values.

Keywords: competency; key performance indicator; burnout process; well-being program; multiple piecewise constant regression; fuzzy set approach. (search for similar items in EconPapers)
JEL-codes: J24 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:aiy:jnjaer:v:23:y:2024:i:1:p:227-250

DOI: 10.15826/vestnik.2024.23.1.010

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