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Antecedents of Organizational Resilience after COVID-19: The Case of UAE

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  • Khadija Ali Mohammed Abdulrahman Al Ameri

    (Department of Management, College of Business, Zayed University, Abu Dhabi 144534, United Arab Emirates)

Abstract

The main purpose of this paper is to investigate the relationship between work stress, employee engagement, employee well-being, and employee and organizational resilience, in order to develop a model that can be used to investigate the effects of these variables on organization performance. A quantitative approach was used and structural equation modeling with AMOS 28 was applied to investigate the relationship between the variables in a convenient sample of 394 employees in the UAE. Based on the results of the study, it can be concluded that work-stress negatively impacts the resilience of organizations, while work engagement and employee resilience are positive indicators of the resilience of organizations. No relationship was found between employee well-being and organizational resilience. Using the findings of this study, one may be able to determine whether a company will be able to achieve better resilience when operating in the midst of intense crisis situations.

Suggested Citation

  • Khadija Ali Mohammed Abdulrahman Al Ameri, 2023. "Antecedents of Organizational Resilience after COVID-19: The Case of UAE," Sustainability, MDPI, vol. 15(7), pages 1-12, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5841-:d:1109268
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    References listed on IDEAS

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    1. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    2. Konstantaras, Konstantinos & Siriopoulos, Costas, 2011. "Estimating financial distress with a dynamic model: Evidence from family owned enterprises in a small open economy," Journal of Multinational Financial Management, Elsevier, vol. 21(4), pages 239-255, October.
    3. Tomasz Korol & Anestis K. Fotiadis, 2022. "Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 407-438, June.
    4. Polyzos, Efstathios, 2022. "Examining the asymmetric impact of macroeconomic policy in the UAE: Evidence from quartile impulse responses and machine learning," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
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