<span lang="EN">Preparing Human Resource Managers for the Integration of Artificial Intelligence in Organizations

Purpose: This study identifies critical success factors for managing organizational transformations caused by integrating Artificial Intelligence (AI) into Human Resource Management (HRM). Methodology: A mixed-method approach was employed in ۲۰۲۵. Data were collected through semi-structured group interviews with ۲۰ 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 = ۰.۷۳۶۸). Findings: 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. Conclusion: 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.

کلیدواژه ها:

AI Management ، Human Resource Management ، organizational change ، AI Ethics