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Artificial intelligence driven human resource transformation: a systematic literature review on competencies roles and strategies Anak Agung Gede Darma Jata; Riki Haryono
Jurnal Mantik Vol. 10 No. 1 (2026): May : Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v10i1.7109

Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly reshaped human resource management (HRM). However, existing studies remain fragmented, primarily focusing on operational efficiency while lacking an integrated understanding of how AI transforms HR competencies, job roles, and strategic development. This study aims to analyze AI-driven human resource transformation by identifying key changes in competencies, roles, and organizational strategies. A systematic literature review (SLR) approach was employed using the PRISMA framework, analyzing articles indexed in Scopus and Web of Science published between 2018 and 2024. The findings reveal three major transformations: (1) a shift from administrative to strategic HR roles driven by data analytics, (2) the emergence of hybrid competencies combining digital, analytical, and adaptive skills, and (3) the integration of AI into HR development strategies through continuous learning systems. This study contributes by proposing a conceptual framework of AI-based HR transformation, integrating technological, human, and organizational dimensions. Practically, the findings provide insights for organizations in designing adaptive and sustainable HR strategies in the digital era.
Human Resource Management in Islamic Education Based on the Qur'an and Hadith in Responding to Teacher Quiet Quitting Teguh Kurniyanto; Anak Agung Gede Darma Jata
Jurnal Mantik Vol. 10 No. 2 (2026): August : Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v10i2.7275

Abstract

Quiet quitting has become a critical issue in educational organizations because it shows teachers' psychological withdrawal while they remain formally present in the institution. Previous studies have mostly explained quiet quitting through workload, burnout, stress, leadership, and low work engagement. However, limited attention has been given to an Islamic educational human resource management model grounded in the Qur'an and Hadith. This study aims to identify the research gap, formulate Qur'anic and Prophetic principles for teacher management, and synthesize them into a conceptual model for responding to teacher quiet quitting. The study uses qualitative library research with a normative-conceptual approach. Primary data were drawn from selected Qur'anic verses and Hadith related to justice, human dignity, shura, amanah, competence, discipline, exemplary leadership, and consistency. Secondary data were obtained from Qur'anic exegesis, Islamic education management literature, and recent international studies on quiet quitting, teacher engagement, teacher well-being, and the Job Demands-Resources model. Data were analyzed through content analysis involving source selection, coding, categorization, interpretation, and conceptual synthesis. The findings show that quiet quitting among teachers is not only an individual motivation problem, but also a sign of weak organizational support, excessive demands, reduced meaning, and limited professional recognition. The proposed model integrates four dimensions: spiritual, humanistic, professional, and organizational. This model contributes to Islamic educational management by balancing spiritual meaning with fair workload, ethical leadership, teacher participation, competence development, and supportive institutional culture