Track: Human Factors and Ergonomics

Abstract

Increasingly competition in the service sector makes companies look for best management practices. In this context, clustering techniques are gaining space through the identification of actions that fit better to the employees’ profiles. In addition, Personnel Psychology techniques, with special emphasis on the personality analysis area, present a wide application in studies and companies. This article approaches the clustering by k-means and Fuzzy C-Means, assessed by Silhouette Index (SI), and the principal component analysis of the samples in a gym franchise unit. The samples were characterized by both socio-demographic characteristics and their relationship with the company, as well as their scores on personality tests based on Five Factors Model (FFM). The results indicate the formation of two groups that differ especially in age, time in the unit, salary and job role, also tracking the highest scores on FFM. The formed clusters were analyzed managerially, making it possible to propose specific actions for each group.