Empirical Research on Income Motivation of Scientific and Technical Personnel Based on ERG Theory: Analysis of 2600 Questionnaires in Nantong, Jiangsu Province

Abstract

This study conducts empirical research on the income motivation of scientific and technical personnel using Alderfer's ERG theory as a theoretical framework. Utilizing data gathered from 2600 questionnaires in the Nantong area of Jiangsu Province, the study aims to analyze the factors driving income motivation among scientific and technical professionals. ERG theory suggests that human needs can be categorized into three main groups: existence, relatedness, and growth. Through statistical analysis and regression modeling, this research examines how these need categories influence the income motivation of scientific and technical personnel. The study investigates factors such as salary level, career advancement opportunities, recognition, job security, and work-life balance as potential drivers of income motivation within the context of ERG theory. Additionally, the research explores the moderating effects of demographic variables such as age, education level, and job tenure on the relationship between need satisfaction and income motivation. By providing empirical insights into the income motivation of scientific and technical personnel, this study contributes to a deeper understanding of workforce dynamics and informs strategies for talent management, compensation planning, and organizational development in knowledge-intensive industries. The findings of this research have implications for policymakers, human resource practitioners, and organizational leaders seeking to attract, retain, and motivate scientific and technical talent in the Jiangsu Province and beyond.