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Ramadani Ramadani
Universitas Nahdatul Ulama Sumatera Utara, Medan, Indonesia

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Artificial Intelligence-Based Talent Management and Its Impact on Employee Engagement and Organizational Resilience Dicky Arpillo Siregar; Fatimah Pohan; Ramadani Ramadani
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 9 No 2 (2026): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v9i2.9755

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed human resource management, particularly in organizational talent management. This study examines the effect of AI-based talent management on employee engagement and its impact on organizational resilience. A quantitative approach was employed using a survey of employees from service organizations and knowledge-based industries in Indonesia. Data were analyzed using Structural Equation Modeling (SEM) to test direct and indirect relationships among variables. The findings indicate that AI-based Employee engagement is positively and significantly impacted by talent management, which in turn significantly influences organizational resilience. Additionally, AI-based talent management directly affects organizational resilience, both independently and through the mediating role of employee engagement. These results highlight the importance of AI-driven talent management in enhancing organizational adaptability and sustainability amid dynamic environmental changes.