Modelo para avaliar o comportamento humano em ambientes industriais controlados

Abstract

This paper presents a framework proposal to evaluate and influence human behavior in controlled industrial environment designed a new structural model with variables that predict individuals’ behavior to adopt energy efficiency practices. In the first study, the behavioral intervention framework called PROMPT was developed from a study carried out in a fertilizer industry. The method used was organized and improved through the incorporation of emerging issues such as human reliability, and a set of support tools. In the second study, a survey was carried out to identify the factors that determine the intention of the workers to adopt actions to improve energy efficiency, based on the theory of planned behavior (TCP). A survey gathered the data to assess the model and a structural equation modeling (SEM) was fitted. The results showed that the attitude and the perceived behavioral control were the latent variables that had significance to anticipate the individual's intention to act. The inclusion of new variables - (i) personal norms and (ii) performance shaping factors increased the predictive relevance. The results showed that the behavioral intervention protocol can be used to influence the behavior of the workers. Finally, it can be assumed that the PROMPT can be adopted with promising results in other industrial units to improve environmental and energy performance.