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The SEM Model of Better Workers’ Life in Companies

Author

Listed:
  • Rožman Maja

    (Faculty of Economics and Business, University of Maribor, Maribor, Slovenia)

  • Čančer Vesna

    (Faculty of Economics and Business, University of Maribor, Maribor, Slovenia)

Abstract

This paper seeks to build a model of the aging workers’ work-life quality and analyze the effect of its factors on the work engagement of elderly workers. Structural equation modeling was used to analyze the effects among seven constructs. The results show that the effect of the occupational stress of elderly workers on their work engagement and work satisfaction is negative, and the effects of the friendly working conditions, maintenance of work ability, and training programs on the work engagement of elderly workers are positive. The results show that the effect of health promotion in the workplace for elderly workers on their work satisfaction is positive, and so is the effect of work satisfaction on work engagement. The findings of this research can help employers better manage elderly workers and create a healthy and safe work environment for them. A better environment leads to higher work engagement of elderly workers.

Suggested Citation

  • Rožman Maja & Čančer Vesna, 2022. "The SEM Model of Better Workers’ Life in Companies," Zagreb International Review of Economics and Business, Sciendo, vol. 25(1), pages 33-60.
    • Handle: RePEc:vrs:zirebs:v:25:y:2022:i:1:p:33-60:n:1003
    DOI: 10.2478/zireb-2022-0003
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    References listed on IDEAS

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    1. Thomas Zwick, 2015. "Training older employees: what is effective?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(2), pages 136-150, May.
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    More about this item

    Keywords

    elderly workers; work engagement of elderly workers; structural equation modelling;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I19 - Health, Education, and Welfare - - Health - - - Other

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