Impact of demographic variables on quality of work life of supervisors

In the modern industrial scenario, it is imperative for any employer to provide healthy, human, technological and organizational climate which leads to good Quality of Work Life. This study was undertaken with the objective of identifying the impact of demographic variables on the perceived Quality of Work Life of supervisors working in engineering industry in Coimbatore District. A Multiple Linear Regression Model was employed to measure the combined effects of independent variables on the dependent variables. The ‘t’ value and the significance level indicate that only two factors, namely, gender and age significantly contribute to the Quality of Work Life of supervisors. The authors hope that the findings may help the employers of engineering industry to redesign their policies so as to meet the needs and aspirations of supervisors.