Análise de fatores que influenciam o clima organizacional de uma empresa de engenharia de grande porte

Abstract

The organizational climate is a relevant topic for organizations, since it influences several aspects of business efficiency, as well as the quality of life of the people who compose the institutions. Thus, to better understand the factors that influence the organizational climate, the present work analyzed data from an organizational climate survey of an engineering company of large scale through multiple linear regression. An attempt was made to understand how it would be possible to act on the factors to enable a better perception of the organizational climate by the employees. The research consisted in a case study in a large mixed economy company, which operates in the engineering area. The database used for the analysis included data from the organizational climate survey carried out in the organization in 2022, covering 158 different areas and 3687 employees. To define the study variables, a bibliographical review was carried out on the subject, identifying the parameters adopted by the reference authors in this field. The mathematical function found and the statistical study carried out on it made it possible to verify the relative importance of the independent variables in the formation of the organizational climate of the company studied, in addition to refuting some preconceived expectations regarding the behavior of these variables, enabling a more assertive performance and the elaboration of an action plan with the objective of generating improvement on the organizational climate of the studied company. Of the 59 variables studied, 7 composed the final function: average salary, average number of feedbacks during a year, the percentage of employees with a technical level degree, the employee performance evaluation index, the variability of the employee performance evaluation, the percentage of employees who work in the same city as their manager and the manager’s number of years in the company. These last two had a behavior different from the hypothesis initially assumed from the literature. Linear regression generated a function with a correlation coefficient of 0.706; and the significance of the variables, according to the Student’s test was limited to 5%. Finally, the significance of the regression, calculated by Fisher’s F test was below 0.1%.