Modelling Structure Job Quality, Job Design and Job Satisfaction

This research is a quantitative study that explains the relationship between variables, namely job design, quality of work life and job satisfaction. The purpose of this study was to determine the effect of latent and mediating variables on the quality of work life on the effect of job design on job satisfaction. The sample used in this study is private universities in Surabaya with the sampling technique using the purposive sampling method. The data analysis technique in this study used the structural inquiry modeling method – partial least square (SEM-PLS) with the help of WarpPLS 6.0 software. The results showed that the sample that could be used in the study was 150 samples. The results of the outer model using the Confirmatory factor analysis method inform that all indicators are valid and reliable because they meet the criteria for convergent validity, discriminant validity and reliability validity that have been set. The results of the inner model show that all hypotheses are accepted, namely, Job design affects job satisfaction, job design affects the quality of work life, job design affects job satisfaction and work quality mediates the effect of job design on job satisfaction. These results can inform that a good quality of work life will have a significant impact on job satisfaction in addition to good job design. A good job is indeed one of the reasons workers feel job satisfaction because the better and clearer the job design will be time effective and accelerate work targets.