Analysis of the relationship between employee commitment and workplace stress through a Hungarian example

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Type of the article: Research article

Abstract
In today’s dynamic labor market, employee engagement has emerged as a critical organizational priority. The aim of the study is to assess the impact of stress factors on employee commitment and to identify differences in stress perception between mental and manual workers in the Hungarian small and medium-sized enterprise sector. The survey was conducted among 223 employees of the SME sector in Hungary in 2025. Participation was voluntary, anonymous, and confidential in accordance with GDPR requirements. A heterogeneous snowball sampling method was applied. The sample was nearly evenly split between white-collar (50.7%) and blue-collar workers (49.3%). Data were analyzed using IBM SPSS Statistics 23, and nonparametric methods such as the Jonckheere–Terpstra and Mann–Whitney U tests were applied. Descriptive statistics showed medium average levels for stress (Mean number = 3.07) and commitment (Mean number = 3.60). A significant negative trend between perceived stress and organizational commitment was confirmed (z = –3.230; p = 0.001), with higher stress levels. Pairwise comparisons showed that employees experiencing extreme or high stress reported moderate or low levels of commitment (p = 0.003 and p = 0.002). A significant difference in stress perception was found between occupational categories (U = 5129.000; p = 0.018), with higher levels among white-collar employees. Among knowledge workers, the most influential stressors included complex tasks (44.4%), tight deadlines (39.0%), lack of support (35.9%), insufficient information (34.1%), and unclear expectations (30.9%). Thus, workplace stress significantly reduces organizational engagement and highlights the importance of targeted stress management strategies in SMEs.

Acknowledgments
This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant IRN AP23489234 “Research of new tools for the development of agro-technological hubs in the regions of Kazakhstan to increase the country’s competitiveness in the Eurasian region”).

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    • Figure 1. Pairwise comparisons (Mann-Withney U Test)
    • Table 1. Socio-demographic characteristics of the sample
    • Table 2. Hotelling’s T2 test
    • Table 3. Descriptive statistics of stress and commitment
    • Table 4. Jonckheere–Terpstra test for stress and commitment
    • Table 5. Pairwise comparisons (Jonckheere-Terpstra test)
    • Table 6. Ranks of stress perception by occupational category
    • Table 7. Mann–Whitney U test for stress perception differences
    • Table 8. Stressors affecting white-collar workers
    • Conceptualization
      Peter Karácsony, Vivien Valko, Yerlan Abil, Gaukhar Kenzhegulova
    • Data curation
      Peter Karácsony, Yerlan Abil, Alexander Tsoy, Gaukhar Kenzhegulova
    • Formal Analysis
      Peter Karácsony, Vivien Valko, Yerlan Abil, Alexander Tsoy, Gaukhar Kenzhegulova
    • Investigation
      Peter Karácsony, Vivien Valko, Yerlan Abil, Alexander Tsoy, Gaukhar Kenzhegulova
    • Methodology
      Peter Karácsony, Vivien Valko, Yerlan Abil, Gaukhar Kenzhegulova
    • Project administration
      Peter Karácsony, Vivien Valko, Yerlan Abil, Gaukhar Kenzhegulova
    • Software
      Peter Karácsony, Vivien Valko, Yerlan Abil, Alexander Tsoy, Gaukhar Kenzhegulova
    • Supervision
      Peter Karácsony, Vivien Valko, Yerlan Abil, Gaukhar Kenzhegulova
    • Validation
      Peter Karácsony, Vivien Valko, Yerlan Abil, Alexander Tsoy, Gaukhar Kenzhegulova
    • Writing – original draft
      Peter Karácsony, Vivien Valko, Yerlan Abil, Gaukhar Kenzhegulova
    • Writing – review & editing
      Peter Karácsony, Vivien Valko, Yerlan Abil, Alexander Tsoy, Gaukhar Kenzhegulova
    • Funding acquisition
      Yerlan Abil, Alexander Tsoy, Gaukhar Kenzhegulova
    • Resources
      Alexander Tsoy
    • Visualization
      Alexander Tsoy