cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ado Bano Riyan
Contact Email
jouairjournal@gmail.com
Phone
+62895617521121
Journal Mail Official
jouairjournal@gmail.com
Editorial Address
Jl. Sultan Ageng Tirtayasa No.12, Kedungjaya, Kec. Kedawung, Kabupaten Cirebon, Jawa Barat 45611.
Location
Kab. cirebon,
Jawa barat
INDONESIA
Journal of Artificial Intelligence Research
Published by Asosiasi Persatuan Pengusaha Muda Teknik Informatika
ISSN : 31090508     EISSN : 31090508     DOI : 10.64910
Core Subject : Science,
Materials Science & Nanotechnology
Areas of interest include, but are not limited to: Agents and Multi-Agent Systems Automated Reasoning and Inference Constraint Processing and Search Techniques Knowledge Representation and Ontologies Machine Learning and Deep Learning Natural Language Processing (NLP) Planning, Scheduling, and Decision-Making Robotics, Computer Vision, and Perception Uncertainty in AI and Probabilistic Reasoning Human-AI Interaction and Explainable AI
Arjuna Subject : Teknik (semua kategori) - Teknologi Media
Articles 1 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2026): Journal of Artificial Intelligence Research" : 1 Documents clear
Talent Management Transformation: Integrating Artificial Intelligence for Organizational Competitive Advantage Nurlatifah, Uswah
Journal of Artificial Intelligence Research Vol. 2 No. 1 (2026): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v2i1.19

Abstract

The transformation of talent management in the digital era is increasingly influenced by the development of artificial intelligence (AI), which plays a strategic role in enhancing an organization's competitive advantage. AI not only improves operational efficiency but also transforms the way organizations recruit, develop, evaluate, and retain talent. This study aims to analyze the role of AI in talent management, identify challenges faced by the human resources (HR) function, and evaluate the effectiveness of AI in improving employee performance and potential. The research method used is a qualitative approach based on literature review, reviewing scientific articles published between 2020 and 2025 relevant to the topic of AI and human resource management. The study results indicate that AI contributes significantly to the talent selection process, career development, performance evaluation, and employee turnover prediction through data-driven decision-making. However, AI implementation also faces challenges, such as algorithmic bias, lack of system transparency, organizational resistance, and the risk of dehumanizing HR processes. Therefore, the successful implementation of AI in talent management depends heavily on ethical governance, data quality, organizational cultural readiness, and harmonious collaboration between technology and human roles. This research provides academic and practical contributions to understanding how AI can be optimally and sustainably utilized in talent management in the digital era.

Page 1 of 1 | Total Record : 1

 1 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Vol. 2 No. 1 (2026): Journal of Artificial Intelligence Research Vol. 1 No. 2 (2025): Journal of Artificial Intelligence Research Vol. 1 No. 1 (2025): Journal of Artificial Intelligence Research