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All Journal JIM UPB (Jurnal Ilmiah Manajemen Universitas Putera Batam)
Yani, Sri Indra
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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PENGARUH PELATIHAN, KEPEMIMPINAN, DAN TRANSFORMASI DIGITAL TERHADAP KINERJA SEKTOR PUBLIK: MODEL REFORMASI SDM TERINTEGRASI Maharudin, Didy; Yuliana; Yani, Sri Indra
JIM UPB (Jurnal Ilmiah Manajemen Universitas Putera Batam) Vol 14 No 1 (2025): Volume 14 Nomor 1 Tahun 2025
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jimupb.v14i1.10929

Abstract

This study examines the integrated effects of human resource management reforms in Indonesia's public sector, focusing on the synergistic relationships between training effectiveness, transformational leadership, and digital transformation. Using a mixed-methods approach that combines quantitative surveys of 250 public sector employees with in-depth qualitative interviews of 15 senior administrators, this research provides compelling evidence that integrated HRM reforms produce significantly better outcomes than isolated interventions. The structural equation modeling analysis reveals that digital transformation serves as a powerful amplifier, enhancing training effectiveness by 45% and leadership impact by 38%. The study identifies three critical success factors for successful public sector HRM reform: strategic alignment with organizational objectives, technological infrastructure readiness, and comprehensive change management capabilities. These findings offer valuable insights for policymakers and public administrators seeking to enhance organizational performance through strategic human resource management. The research contributes to both theoretical understanding and practical implementation of public sector reforms in developing countries, particularly in the unique context of Indonesian bureaucracy. The integrated HRM reform model developed in this study explains 67% of variance in organizational performance, demonstrating its strong predictive power and practical utility for public sector transformation initiatives.
Co-Authors Maharudin, Didy Yuliana Yuliana