Artificial Intelligence and Digital Human Resource Processes: Applications and Challenges

<p dir="ltr"><b>Background & Purpose:</b> Artificial intelligence (AI) has made a digital transformation in human resource management, capturing the attention of HR professionals and managers. However, there remains a gap in research addressing the full spectrum of AI applications and challenges in HR management within organizations. This study aims to identify both the applications and challenges of AI in digitalizing human resource processes within companies.<br><b>Methodology:</b> To achieve this goal, a review of theoretical literature was conducted and the required data was collected from ten semi-structured interviews with experts specializing in HR AI technology and digital HR practices. The qualitative data were conceptualized through the thematic analysis technique. Subsequently, in the quantitative stage, the applications and challenges were ranked using the weighted average technique.<br><b>Findings:</b> 67 AI applications in nine dimensions were identified using thematic analysis including job design, personnel recruitment, performance evaluation, training, retention, compensation, operational enhancement, decision-making, and disciplinary actions. Moreover, 32 challenges were identified and categorized.<br><b>Conclusion:</b> The integration of AI into human resources processes results in enhanced precision, consistent data analysis, simplifying, automating and personalizing processes, ultimately saving time and improving the quality of HR operations. However, implementation this technology confronts challenges and restrictions.</p><p dir="ltr"><br></p>