Abstract :
This study examines the effect of age, gender, educational level, marital status, income, job level, and facet job satisfaction on global job satisfaction. Data were collected from 340 white collar urban employees in Fushun. Both global and facet job satisfaction are measured with well-validated survey instruments. The statistical analysis shows that when the demographic variables, income, and job level are used as predictors of global job satisfaction, the model is not significant. Among the nine facet job satisfactions, satisfaction with pay, with benefit, and with work itself have positive effect on global job satisfaction. When both facet job satisfaction and the demographic, and organizational characteristics variables are introduced, age also have a positive effect on global job satisfaction.
Keywords :
globalisation; job specification; organisational aspects; personnel; statistical analysis; China urban workforce; Fushun; collar urban employee; facet job satisfaction; global job satisfaction; organizational characteristic; statistical analysis; Appraisal; Business; Cities and towns; Demography; Economic forecasting; Industrial psychology; Instruments; Occupational stress; Predictive models; Statistical analysis;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on