ARTIFICIAL INTELLIGENCE IN SAP HCM: A SYSTEMATIC ANALYSIS OF IMPLEMENTATION STRATEGIES AND OPERATIONAL IMPACTS ON MODERN HR FUNCTIONS
Keywords:
Artificial Intelligence In HR, SAP Human Capital Management, Predictive HR Analytics, Robotic Process Automation, HR Digital TransformationAbstract
This article examines the transformative impact of artificial intelligence and automation technologies on human resource management processes within SAP Human Capital Management (HCM) systems. Through comprehensive analysis of current implementations and emerging trends, the article explores how AI-driven solutions are revolutionizing core HR functions, including talent acquisition, employee development, and administrative operations. The article investigates the implementation of machine learning algorithms in recruitment processes, predictive analytics in talent management, and robotic process automation in administrative tasks. The article presents a framework for understanding the integration of AI technologies while addressing critical ethical considerations and the necessity of human oversight in AI-driven HR decisions. The findings reveal significant improvements in operational efficiency, decision-making accuracy, and employee experience, while highlighting important considerations for data privacy, algorithmic bias, and change management. The article contributes to the growing body of knowledge on HR technology transformation by providing actionable insights for organizations implementing AI solutions within SAP HCM, while also identifying future research directions and potential challenges in the evolving landscape of HR automation.
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