Digital Transformation of Human Resource Management: A Cross-Country Perspective

The study conducts a cross-country comparative analysis of digital HRM practices in the Republic of Korea, Japan, and Singapore to formulate practical recommendations for the Kazakhstani civil service. It explores the impact of artificial intelligence, automation, big data analytics, and digital platforms on optimizing HR processes, improving administrative efficiency, and enhancing workforce management. Applying a benchmarking methodology, the research systematically examines best practices in personnel management, recruitment, performance assessment, and professional development across digitally advanced nations. Despite challenges such as data accessibility limitations and institutional variations, the study offers actionable recommendations for Kazakhstan’s public sector, including AI-assisted recruitment, digital HR training platforms, and international knowledge exchange initiatives. The research concludes that integrating global best practices in HR digitalization can significantly improve Kazakhstan’s civil service operations, strengthening its efficiency, transparency, and adaptability to contemporary governance demands. For digital transformation, it is proposed to use advanced technologies of artificial intelligence, big data analysis, data-based decision-making, as well as improving the digital literacy of civil servants and citizens. Key words: human resource management, ecosystem, centralized services, digitalization, civil service, comparative analysis.