A research model for relating job characteristics to job satisfaction of university foodservice employees.
The purpose of this study was to determine the relationship between job characteristics and job satisfaction and between demographic variables and job satisfaction for university foodservice employees. A three-part survey was developed which included the 30-item Job Characteristics Inventory, 6 items related to job satisfaction, and 7 demographic items. Separate written questionnaires were administered to 32 managerial and 147 non-managerial employees of a large state university foodservice department. The response rate was 98% (32 managers and 143 non-managers). The reliability for the instrument, as determined by Cronbach's alpha, was 0.88 for employees and 0.91 for supervisors. Multiple linear regression analyses were used to test research hypotheses at a significance level of p less than or equal to .05. There was a positive relationship between job characteristics (autonomy, task identity, feedback, variety, dealing with others, and friendship opportunities) and job satisfaction for both employees and supervisors. Feedback and dealing with others were the individual job characteristics that were significant. Only one job characteristic, dealing with others, was rated higher by managerial than by non-managerial employees. There was no difference in job satisfaction by role (managerial vs. non-managerial) or demographic variables, except age for non-managerial employees. Older, non-managerial employees tended to be more satisfied with their jobs than did younger employees. Dietitians and foodservice managers can use the findings for implementing job design strategies, such as job enrichment and job rotation, to improve employee satisfaction.
Department of Nutrition and Food Sciences, College of Human Ecology, University of Tennessee, Knoxville 37996-1900.
K M
KM
Duke
J
J
Sneed
D000328:Adult; D005522:Food Services; D006801:Humans; D007587:Job Description; D007588:Job Satisfaction; D008875:Middle Aged; D010559:Personnel Management; D012044:Regression Analysis; D014495:Universities