Decision Support System for Determining Social Assistance Recipients: Systematic Literature Review

Abstract

The rapid advancements in information technology have significantly influenced various sectors, including human resource management (HRM), where Artificial Intelligence (AI) is being integrated into decision support systems (DSS). This paper explores AI's potential and challenges in enhancing HRM practices through a systematic literature review (SLR). The research evaluates AI applications in recruitment, performance evaluation, and workforce planning. By analyzing 21 journal articles published from 2019 to 2023, the study identifies key AI methods, including machine learning algorithms and predictive analytics, and assesses their effectiveness in optimizing HR decisions. Findings suggest that AI-driven DSS improves decision-making accuracy, reduces biases, and automates routine tasks. However, challenges related to AI’s alignment with organizational goals, transparency, and ethical concerns remain. The paper concludes with recommendations for integrating AI into HRM systems and emphasizes the need for further research on AI’s role in fostering fair and effective HR practices.