Statistical Modelling for Synergic Well-Being and Company Performance Based on Psychological Constructs as Predictors of Employee Satisfaction

Abstract

The purpose of this research is to demonstrate, using statistical modelling, that for company economic performance, besides economic resources, human capital and its well-being, psychological comfort and motivation measured through psychological constructs are also important. For the research, two companies from the industry, two batches of employees, homogeneous, comparable in terms of the subjects’ socio-demographic characteristics and economic indicators evolution were analysed. The results indicate as good predictors, statistically significant, for the personal satisfaction of employees from the two industrial firms, with a direct and measurable effect on the economic performance of the company: time management and burnout for both companies and, for company F1, also salary satisfaction. The statistically significant differences between the two companies for the yield per employee for turnover and net profit are explained from the perspective of psychological constructs. Thus, the importance of psychological constructs in measuring and diagnosing employees to ensure an upward evolution of company economic indicators and yield per employee is demonstrated.