A Probabilistic Mapping Approach to Assess the Employee Behavior Profile

Organizations use People Analytics (PA) to pursue strategic planning of their activities. PA offers a strategic view of the organization, including the understanding of people's behavior. This article presents a new probabilistic approach to map behavioral profiles. It collects self-perception of personality traits and classifies persons into four archetypes. Additionally, it computes behavior characteristics at different intensities, generating nine situational indicators, such as energy and motivation. Our approach also presents thirteen areas of talent and their relationship to the behavioral profiles. We also test the assertiveness of our proposed approach by statistically evaluating it considering the perspectives of employees, employees leaders, and expert psychologists. Experimental results show that our approach is effective, achieving 93.22% ± 3.06% agreement for observed employees, 90.80% ± 4.60% for leader observers, and 93.66% ± 1.28% for expert observers.