Dr. Vahid Pourshahabi Modern Studies in Management and Organization 3092-6920 2 3 2025 11 22 Preparing Human Resource Managers for the Integration of Artificial Intelligence in Organizations Preparing Human Resource Managers for the Integration of Artificial Intelligence in Organizations 93 113 252039 10.22034/jmsmo.2026.547119.1041 EN Behnoush Jovari Department of Public Management - Decision Making and Public Policy, CT.C., Islamic Azad University, Tehran, Iran. 0000-0002-6426-0245 Journal Article 2025 09 14 <strong><span lang="EN">Purpose:</span></strong><span lang="EN"> This study identifies critical success factors for managing organizational transformations caused by integrating Artificial Intelligence (AI) into Human Resource Management (HRM).</span><br><strong><span lang="EN">Methodology:</span></strong><span lang="EN"> A mixed-method approach was employed in 2025. Data were collected through semi-structured group interviews with 20 experts in HRM, AI, psychology, and ethics, selected via snowball sampling. Extracted codes were validated using open-ended questionnaires. Thematic analysis (open, axial, and selective coding) was applied, and inter-researcher reliability was confirmed using Cohen's Kappa coefficient (κ = 0.7368).</span><br><strong><span lang="EN">Findings:</span></strong><span lang="EN"> The analysis revealed five core areas requiring intervention: management style, human resources, organizational structure, human relations, and organizational behavior. These were refined into ten validated strategic codes, including cultural localization, psychological empowerment, ethical framework development, and anticipation of emerging challenges.</span><br><strong><span lang="EN">Conclusion:</span></strong><span lang="EN"> This research provides a culturally sensitive framework for AI integration in HRM, emphasizing psychological and behavioral dimensions often neglected in prior studies. It offers HR managers a practical roadmap to navigate AI adoption while preserving human dignity and organizational values. Successful AI integration requires deliberate interventions across multiple organizational dimensions, not merely technological upgrades. </span> <strong><span lang="EN">Purpose:</span></strong><span lang="EN"> This study identifies critical success factors for managing organizational transformations caused by integrating Artificial Intelligence (AI) into Human Resource Management (HRM).</span><br><strong><span lang="EN">Methodology:</span></strong><span lang="EN"> A mixed-method approach was employed in 2025. Data were collected through semi-structured group interviews with 20 experts in HRM, AI, psychology, and ethics, selected via snowball sampling. Extracted codes were validated using open-ended questionnaires. Thematic analysis (open, axial, and selective coding) was applied, and inter-researcher reliability was confirmed using Cohen's Kappa coefficient (κ = 0.7368).</span><br><strong><span lang="EN">Findings:</span></strong><span lang="EN"> The analysis revealed five core areas requiring intervention: management style, human resources, organizational structure, human relations, and organizational behavior. These were refined into ten validated strategic codes, including cultural localization, psychological empowerment, ethical framework development, and anticipation of emerging challenges.</span><br><strong><span lang="EN">Conclusion:</span></strong><span lang="EN"> This research provides a culturally sensitive framework for AI integration in HRM, emphasizing psychological and behavioral dimensions often neglected in prior studies. It offers HR managers a practical roadmap to navigate AI adoption while preserving human dignity and organizational values. Successful AI integration requires deliberate interventions across multiple organizational dimensions, not merely technological upgrades. </span> https://www.jmsmo.ir/article_252039_bc057c59fc1c446261de750a738ad0f0.pdf