Influence of University teachers’ job satisfaction on subjective well-being and job performance

Abstract

Research previously found a direct relationship between job satisfaction (JS) and employee job performance (JP). However, the literature reveals that the influence of intervening variables such as employee subjective well-being (SWB) might have an impact on job satisfaction and job performance relationship. Broaden-and-build model as the theoretical base, a conceptual model was developed where SWB moderates the relation between JS and JP. One unique addition of the study is the introduction of Necessary Condition Analysis (NCA). Three hundred and ninety-five teachers working for private engineering institutions participated in the study. Results revealed that teachers job satisfaction predicts job performance directly and also through subjective well-being. It show that more satisfied teachers are more likely to show increased job performance when they are experiencing low level and a moderate level of subjective well-being. NCA scatterplots and bottleneck analysis prove the necessity of JS and SWB to predict JP.