Examining the Relationship Between Job Insecurity and Job Satisfaction: A Structural Equation Modeling Approach on White-Collar Employees

Drawing on the data of a quantitative study, this study aims to examine the impact of job insecurity levels on job satisfaction among white-collar employees and to interpret the findings in the context of risk society, flexible labor, and precariat. The data were collected through a survey conducted on a sample of 400 white-collar employees from the service, industry, and construction sectors, all of whom hold higher education degrees. The questionnaire included a personal information form to assess the socio-demographic characteristics of participants, the Job Insecurity Scale to quantify their levels of job insecurity, and the Job Satisfaction Scale to measure their levels of job satisfaction. To examine the effects of job insecurity on job satisfaction, two distinct Structural Equation Modeling (SEM) models were constructed, and the models' goodness of fit indices and estimation parameters were assessed. The results from the first model reveal a negative relationship between job insecurity and job satisfaction, while the findings from the second model indicate that quantitative job insecurity has a stronger predictive effect on job satisfaction factors than qualitative job insecurity.