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Job Stress As A Predictor Of Employee Health


  • AZMAN Ismail

    (Faculty of Economics & Management, University Kebangsaan Malaysia)

  • NORHAFIZAH Abu Hasan

    (Faculty of Economics & Management, University Kebangsaan Malaysia)

  • YU-FEI (Melissa) Chin

    (Faculty of Economics & Management, University Kebangsaan Malaysia)

  • YUSOF Ismail

    (Faculty of Economics & Management, University Kebangsaan Malaysia)


    (Faculty of Business Administration, UNITAR International University)


This study was conducted to measure the relationship between job stress and employee health. A survey method was employed to collect self-administered questionnaires from employees in established universities in Sarawak, Malaysia. The outcomes of SmartPLS path model revealed three important findings: first, role ambiguity was positively and significantly related to employee health. Second, role conflict was positively and significantly related to employee health. Third, role overload was positively and significantly related to employee health. Statistically, the result demonstrates that the level of job stress has been an important predictor of employee health in the studied organizations. The paper includes discussions, implications and conclusion.

Suggested Citation

  • AZMAN Ismail & NORHAFIZAH Abu Hasan & YU-FEI (Melissa) Chin & YUSOF Ismail & AINON JAUHARIAH Abu Samah, 2013. "Job Stress As A Predictor Of Employee Health," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 8(2), pages 20-34, Augus.
  • Handle: RePEc:blg:journl:v:8:y:2013:i:2:p:20-34

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    References listed on IDEAS

    1. Martin G?chter & David A. Savage & Benno Torgler, 2009. "The relationship between Stress, Strain and Social Capital," Working Papers 2010-04, Faculty of Economics and Statistics, University of Innsbruck, revised Mar 2010.
    2. Duncan Gallie & Helen Russell, 2009. "Work-Family Conflict and Working Conditions in Western Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 93(3), pages 445-467, September.
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