Exploring the Relationship between Pay Satisfaction and Fairness Perception among Science and Technology Personnel: An Empirical SEM Analysis using Survey Data from Thirteen Cities in Jiangsu Province

Abstract

This empirical research investigates the complex relationship between pay satisfaction and perceived fairness among science and technology personnel in Jiangsu province, utilizing Structural Equation Modeling (SEM) techniques. Drawing upon survey data collected from science and technology professionals across thirteen cities in Jiangsu, the study examines how individuals' satisfaction with their pay is influenced by their perceptions of fairness within the organizational context. The research delves into various dimensions of fairness, including distributive fairness (fairness in pay distribution) and procedural fairness (fairness in decision-making processes), and explores their impact on pay satisfaction. Furthermore, the study investigates potential moderating factors such as gender, education level, and years of experience, which may influence the strength and direction of the relationship between pay satisfaction and fairness perception. By employing SEM analysis, this research aims to provide a nuanced understanding of the interplay between pay satisfaction and fairness perception among science and technology personnel, offering implications for human resource management practices and organizational policies aimed at enhancing employee satisfaction and well-being.