Article Per Year (5 Year)
p-Index From 2021 - 2026
1.776
P-Index
This Author published in this journals
All Journal Jurnal Fakultas Ekonomi : OPTIMAL Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi) JURISMA: Jurnal Riset Bisnis & Manajemen MEDIA MANAJEMEN JASA Jurnal Ilmiah Manajemen Kesatuan Dinasti International Journal of Digital Business Management Journal of Industrial Engineering & Management Research (JIEMAR) Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (JASMIEN) East Asian Journal of Multidisciplinary Research (EAJMR) Journal MISSY (Management and Business Strategy) International Journal of Research in STEM Education TechTalent & Business Review
Fahmi Kamal, Fahmi
Unknown Affiliation
Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Mathematics Physics Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : TechTalent

 1 
The Influence of Artificial Intelligence in Human Resource Management on Employee Performance in the Era of Digital Transformation Kamal, Fahmi
TechTalent & Business Review Vol. 2 No. 1 (2026): TTBR-April 2026
Publisher : Asosiasi Peneliti dan Inovasi Nusantara (APIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63985/ttbr.v2i1.105

Abstract

This study aims to analyze the influence of Artificial Intelligence (AI) in Human Resource Management (HRM) on employee performance in the era of digital transformation. The rapid development of digital technologies has encouraged organizations to adopt AI-based HRM systems to improve efficiency, decision-making, and workforce productivity. This research employs a quantitative approach with an explanatory design. Data were collected through structured online questionnaires using a Likert scale from employees working in organizations that implement AI-based HRM systems. The data were analyzed using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) approach to test the relationships between variables. The results indicate that AI in HRM has a positive and significant effect on employee performance, both directly and indirectly through digital transformation readiness. AI-driven HR practices enhance recruitment processes, performance management, and employee engagement, leading to improved productivity and organizational effectiveness. The discussion highlights that organizational readiness, technological infrastructure, and human AI collaboration are critical factors in maximizing the benefits of AI implementation. In conclusion, AI-based HRM is a strategic approach that significantly improves employee performance and supports organizational competitiveness in the digital era. Effective implementation requires alignment between technology, human resources, and organizational strategy
Co-Authors Abdillah, Emil Zahara Amanda, Shella Ananto Krisna Wardhana Andi Martias Basir, Badirun Didin Sjarifudin, Didin Erjati Abas Frandika, Dodi Kamsariaty, Kamsariaty Koto3, Deni I Indra Purnama Kurniawan Prambudi Utomo Lukman Hakim Muis, Muhammad Abdul Nurvi Oktiani Purwoko, Harry Rachmat Fadly Riris Lestiowati Ruliyan, Rio sabil sabil, sabil seno sudarmono Hadi Sidjabat, Sonya Soegiarto, Ita Sofyan, Iradat Rayhan Usran Masahere Wiyanti, Rahma