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Previously submitted to: JMIR Mental Health (no longer under consideration since Mar 29, 2021)

Date Submitted: Mar 27, 2021

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Work engagement during the COVID-19 pandemic: insights from a cross-sectional web-survey with path modelling analysis

  • Noomen Guelmami; 
  • Wen Chen; 
  • Nasr Chalghaf; 
  • Maher ben Khalifa; 
  • Jude Dzevela Kong; 
  • Jianhong Wu; 
  • Fairouz Azaiez; 
  • Nicola Luigi

ABSTRACT

Background:

Workers are being highly impacted by the current COVID-19 pandemic.

Objective:

The present study aimed to identify the relationship between COVID-19 pandemic and work engagement among professionals who are working to offer living needs to people during the quarantine.

Methods:

A total of 364 private and state sector employees were recruited for this study. The subjects are divided into 159 women and 205 men with mean age 34.33 years old ± 11.40; and live and in Tunisia. Occupational category includes administrative employees (n = 101), employees in factories and companies (n = 137) and small businesses (n = 126). Participants were administered Work engagement scale (UWES), Work Domain Satisfaction Scale (WDSS), Satisfaction With Life Scale (SWLS), Promis Global Health Scale, Perceived Stress Scale (PSS4), and COVID-19 Fear scale. Partial Least Square modeling method was performed.

Results:

Results of the measurement model and the structural model confirmed the direct relationships between perceived stress, life satisfaction, and job satisfaction with Work engagement. Indirect links have also been highlighted between fear of CoviD-19 and overall health with engagement to work.

Conclusions:

The established model can be used by researchers and management practitioners to act on constructs to increase engagement to work.


 Citation

Please cite as:

Guelmami N, Chen W, Chalghaf N, ben Khalifa M, Kong JD, Wu J, Azaiez F, Luigi N

Work engagement during the COVID-19 pandemic: insights from a cross-sectional web-survey with path modelling analysis

JMIR Preprints. 27/03/2021:29141

DOI: 10.2196/preprints.29141

URL: https://preprints.jmir.org/preprint/29141

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