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Work from Home: Measuring Satisfaction between Work–Life Balance and Work Stress during the COVID-19 Pandemic in Indonesia

Author

Listed:
  • Dodi Wirawan Irawanto

    (Management Department, Faculty of Economics and Business, Brawijaya University, Malang 65145, Indonesia)

  • Khusnul Rofida Novianti

    (Management Department, Faculty of Economics and Business, University of Muhammadiyah Malang, Malang 65144, Indonesia)

  • Kenny Roz

    (Management Department, Faculty of Economics and Business, University of Muhammadiyah Malang, Malang 65144, Indonesia)

Abstract

Coronavirus (COVID-19), which hit in early 2020, changed the way people live and work, and affected industries and organizations all over the world. Many organizations have begun to deliver a new way of working to adapt to these shifts effectively using teleworking or a work from home policy. The purpose of this study was to fill the gaps by investigating several potential predictors of job satisfaction during working from home from the impact of COVID-19 such as work–life balance and work stress. Using a quantitative approach, 472 workers who were forced to work from home all over Indonesia participated, and the responses were analyzed using Smart-PLS software. The study revealed that working from home, work–life balance, and work stress have a significant effect, both directly and indirectly, on job satisfaction. Working from home as a new pace of work can sustain job satisfaction as the current working atmosphere for Indonesian workers. In response to the collectivist setting, working from home can be a positive sign that needs to be paid attention to for the organization.

Suggested Citation

  • Dodi Wirawan Irawanto & Khusnul Rofida Novianti & Kenny Roz, 2021. "Work from Home: Measuring Satisfaction between Work–Life Balance and Work Stress during the COVID-19 Pandemic in Indonesia," Economies, MDPI, vol. 9(3), pages 1-13, June.
    • Handle: RePEc:gam:jecomi:v:9:y:2021:i:3:p:96-:d:581927
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    References listed on IDEAS

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    Cited by:

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    20. Aleem, Majid & Sufyan, Muhammad & Ameer, Irfan & Mustak, Mekhail, 2023. "Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda," Journal of Business Research, Elsevier, vol. 154(C).
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