The pandemic lockdown impact on employees in Saudi Arabia

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Authors
Qawarish, Ali M.
Bakhsh, Ahmed A.
Advisors
Issue Date
2021-12
Type
Article
Keywords
Employees , Internal customers , Economic growth , COVID-19
Research Projects
Organizational Units
Journal Issue
Citation
Qawarish, A. M., & Bakhsh, A. A. (2021). The pandemic lockdown impact on employees in Saudi Arabia. Journal of Management & Engineering Integration, 14(2), 25-33. https://doi.org/10.62704/10057/24778
Abstract

Once COVID-19 lockdown was activated in most countries, people had started to suffer the consequences, among those were employees who are considered one of the important society segments as an engine of economic growth during the pandemic. In this regard, this study employs structural equation modeling (SEM) to determine the impact of COVID-19 lockdown on private sector-employees in Saudi Arabia based on a sample targeting the lockdown period using a survey consisting of three main domains to be measured: physical, psychological, and financial. The correlations between the study variables are within the acceptable range. Confirmatory Factor Analysis (CFA) was conducted using AMOS software to validate each domain construct. The results provide support for the hypothesized model with significant internal consistency reliability for each domain. The estimated model reveals that the lockdown exerted a considerable influence on various aspects of employees' life which therefore may impact their performance in their organizations later. The findings can help guide decision-makers within the business community regarding internal customers' needs and also help governments gain a better understanding of citizens' emotions, issues and, interests during critical times.

Table of Contents
Description
Published in SOAR: Shocker Open Access Repository by Wichita State University Libraries Technical Services, December 2022.
Publisher
Association for Industry, Engineering and Management Systems (AIEMS)
Journal
Book Title
Series
Journal of Management & Engineering Integration
v.14 no.2
PubMed ID
ISSN
1939-7984
EISSN