Communication Dans Un Congrès Année : 2024

Simulation of Talent Retention and IT Professionals Turnover Using GAMA

Résumé

Talent retention and turnover of information technology (IT) professionals pose critical challenges for organizations undergoing digital transformation. This paper presents a multi-agent simulation model using the GAMA platform to analyze how different talent retention policies impact job satisfaction and the turnover rates of IT professionals within an organization. In our model, IT professionals are represented as agents with attributes such as job satisfaction, salary, tenure, and skill levels. The human resources (HR) manager is also modeled as an agent who can adjust salaries and promote employees to enhance satisfaction and reduce turnover, all while managing a limited budget. Agents update their behaviors each cycle based on factors like growth opportunities and financial incentives. The simulation examines the effects of various retention policies across three scenarios: (1) Strong retention policies with regular salary increases and promotions, (2) Moderate retention policies, and (3) Weak retention policies lacking significant salary increases or promotion opportunities. Preliminary results indicate that strong retention policies lead to lower turnover rates and higher average satisfaction but incur higher costs for the organization. Conversely, weak retention policies result in high dissatisfaction and turnover, offering short-term budget savings but negatively impacting long-term company performance. The model was validated using real-world data from studies on talent retention in Brazilian IT companies. This work demonstrates the flexibility of the GAMA platform in creating complex simulation scenarios that allow for the adjustment of organizational variables, providing valuable insights for HR managers. The simulation can be extended to include additional agents and variables, such as the effects of training programs and the influence of organizational culture on talent retention.

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Dates et versions

hal-04888184 , version 1 (15-01-2025)

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  • HAL Id : hal-04888184 , version 1

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Eduardo Ferreira, Oscar Rete. Simulation of Talent Retention and IT Professionals Turnover Using GAMA. GAMA Days 2024, Nov 2024, Online, France. ⟨hal-04888184⟩
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