Leveraging Artificial Intelligence in Decision Support Systems for Strategic Human Resource Management: A Systematic Literature Review

Abstract

This study examines the integration of Artificial Intelligence (AI) into Decision Support Systems (DSS) for Strategic Human Resource Management (SHRM) through a systematic literature review (SLR). The research investigates how AI technologies enhance various HR functions, such as recruitment, training, performance evaluation, and talent management. The findings indicate that AI significantly improves operational efficiency, decision-making accuracy, and the overall speed of HR processes. However, challenges such as ethical concerns, data privacy issues, and potential algorithmic bias in decision-making are highlighted. The paper aims to provide a conceptual framework for the effective application of AI in SHRM and identifies key trends, challenges, and opportunities in AI adoption within HR functions. By synthesizing existing research, this study offers valuable insights into optimizing the use of AI in DSS for SHRM, emphasizing the importance of aligning AI implementation with ethical principles and organizational goals. The research advances theoretical and practical understanding of AI's role in HRM and encourages further exploration of its impact across various organizational contexts.