The impact of job satisfaction on job performance in remote work contexts: an empirical investigation using the JD-R model
The impact of job satisfaction on job performance in remote work contexts: an empirical investigation using the JD-R model

Summary/Abstract: The Fourth Industrial Revolution has propelled many employees to perform work from home (WFH), which has been enabled by rapid digital advancements and the integration of technology into daily workflows. This paper aims to explore the relationship between job satisfaction and job performance for employees working from home in Vietnam due to remote work policies implemented by European enterprises. Based on the Job Demands-Resources (JD-R) theory, the research model is proposed. Accordingly, hypotheses are developed, and this study applies a quantitative analysis with a research sample of 256 employees from European multinational enterprises now working remotely in Vietnam. The questionnaire includes close-ended questions sent to these employees via e-mail between January and June of 2023. The collected data are then processed and analyzed by SPSS v.22. The study applies Cronbach’s Alpha as a tool for assessing the reliability or internal consistency of scales. The following is the exploratory factor analysis (EFA) and the regression analysis. The research findings indicate that higher job satisfaction levels are a significant predictor of higher perceived job performance when working fully remotely in Vietnam for European enterprises.

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