Smart Human Resource Management: Theoretical Issues and Practical Applications

The rapid digital transformation of organizations has redefined the role of human resources, positioning technology as a strategic enabler of efficiency and competitiveness. This paper explores the theoretical foundations and practical implementations of Smart Human Resource Management (Smart HRM), which integrates artificial intelligence (AI), automation, and data analytics into HR processes. The main objective of this study is to analyse how Smart HRM principles enhance organizational performance by transforming traditional HR practices into data-driven, technology-enabled systems that support strategic decision-making and workforce sustainability. A qualitative research approach was employed, combining social network analysis with an extensive review of literature and case studies from international corporations (IBM, Workday, Communicorp UK) and Central European organizations (Smart Solutions, Accace, PwC Slovakia). The study demonstrates that Smart HRM increases operational efficiency, reduces administrative workload, and enhances employee engagement and retention through AI-based automation and predictive analytics. Implementation examples show significant productivity gains and cost savings. Smart HRM transforms HR from an administrative function into a strategic, data-informed business partner. While its benefits are substantial, ethical use of AI and responsible workforce adaptation remain critical for long-term success.