APPLICATION OF SWOT ANALYSIS IN FORMING A STAFF MENTAL HEALTH MANAGEMENT SYSTEM

In today's realities, there is a steady trend towards an increase of psycho-emotional tension among the population: the pandemic, and then the war in Ukraine, created a constant sense of danger and instability, which negatively affects people's mental health and has a negative socio-economic impact. Mental health is a concept that emphasizes the importance of mental and emotional well-being in the context of ensuring overall safety both at the individual level and within a particular organization and society as a whole. Psychosocial risks in the production environment conditions can lead to professional burnout, a decrease in the level of professional performance, which is a consequence of working in conditions of high stress, significant emotional or mental stress and other factors. Mental health, in turn, significantly affects the behavior of employees, their ability to effectively perform tasks, as well as the ability to make decisions to ensure their own safety and the safety of others. The purpose of the article is to analyze the possibilities of SWOT analysis for developing or improving a personnel mental health management system based on the formulation of a set of qualitative and quantitative indicators. Based on the analysis of factors that affect the psycho-emotional state of employees, as well as the possibilities of SWOT analysis for studying issues of health care and personnel support, the use of key performance indicators (KPI) is proposed, which allows not only qualitatively, but also quantitatively assess the effectiveness and efficiency of the personnel mental health management system. Performance indicators are assigned to each of the SWOT analysis categories: strengths, weaknesses, opportunities, threats. Examples of setting goals and methods for measuring the degree of their achievement that can be used are also given. To form a personnel mental health management system, the company must develop its own KPI regulations, which will indicate the goals of implementing KPIs, to whom they apply; a list of KPIs with a precise description and calculation methods; KPI measurement methods; responsible persons; frequency of research; mechanisms for adjusting indicators. This approach allows the company to create an effective strategy to improve the mental health of employees, which has a positive impact on safety in the workplace.

Authors

Institutions

Publication Details

Journal
Municipal economy of cities
Published
2025-04-02
DOI
https://doi.org/10.33042/2522-1809-2025-1-189-441-446
Primary Topic
Strategic Planning and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

APPLICATION OF SWOT ANALYSIS IN FORMING A STAFF MENTAL HEALTH MANAGEMENT SYSTEM

L. Kolybelnikova, V. Malysheva, К. Danova, Hanna Sobolieva
Municipal economy of cities
Strategic Planning and Analysis
article

APPLICATION OF SWOT ANALYSIS IN FORMING A STAFF MENTAL HEALTH MANAGEMENT SYSTEM

L. Kolybelnikova, V. Malysheva, К. Danova, Hanna Sobolieva
article en

Abstract

In today's realities, there is a steady trend towards an increase of psycho-emotional tension among the population: the pandemic, and then the war in Ukraine, created a constant sense of danger and instability, which negatively affects people's mental health and has a negative socio-economic impact. Mental health is a concept that emphasizes the importance of mental and emotional well-being in the context of ensuring overall safety both at the individual level and within a particular organization and society as a whole. Psychosocial risks in the production environment conditions can lead to professional burnout, a decrease in the level of professional performance, which is a consequence of working in conditions of high stress, significant emotional or mental stress and other factors. Mental health, in turn, significantly affects the behavior of employees, their ability to effectively perform tasks, as well as the ability to make decisions to ensure their own safety and the safety of others. The purpose of the article is to analyze the possibilities of SWOT analysis for developing or improving a personnel mental health management system based on the formulation of a set of qualitative and quantitative indicators. Based on the analysis of factors that affect the psycho-emotional state of employees, as well as the possibilities of SWOT analysis for studying issues of health care and personnel support, the use of key performance indicators (KPI) is proposed, which allows not only qualitatively, but also quantitatively assess the effectiveness and efficiency of the personnel mental health management system. Performance indicators are assigned to each of the SWOT analysis categories: strengths, weaknesses, opportunities, threats. Examples of setting goals and methods for measuring the degree of their achievement that can be used are also given. To form a personnel mental health management system, the company must develop its own KPI regulations, which will indicate the goals of implementing KPIs, to whom they apply; a list of KPIs with a precise description and calculation methods; KPI measurement methods; responsible persons; frequency of research; mechanisms for adjusting indicators. This approach allows the company to create an effective strategy to improve the mental health of employees, which has a positive impact on safety in the workplace.

Municipal economy of citiesVol. 1(189)
O.M. Beketov National University of Urban Economy in Kharkiv (UA)
Openalex Percentile: Top 88%
Strategic Planning and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.