Measuring the social impact on employee engagement using agent-based simulation

Abstract

Employee Engagement is a pattern of human interaction in an organization that presents excitement, dedication, and comfort in the work environment: the higher employee engagement, the more efficient way to reach the goals. Measuring the impact of employee interaction on employee engagement became essential for the organization. This study applied the social impact model to describe the interaction patterns of employees within an organization, including the intervention of leaders in groups. The agent-based simulation is constructed to simulate the behavior and interaction patterns. This study assessed the impact of 4 employee engagement aspects: recognition, care, commitment, and best friend. Agent leader and agent employee were the two primary roles of the simulation. The employee engagement survey has conducted by our university with more than 380 respondents, including the leader and staff. New trait adoption role as a pattern of employee engagement interaction has been formulated in this study and becomes a state of change of agent behavior in simulations. The level of employee engagement can be calculated and displayed in the dynamics of change with agent-based simulations. The four aspects of employee engagement show the effect of increasing the level of engagement with a variety of different patterns.