Intelligent Management of Human Capital

Intelligent Management of Human Capital

Evaluating the applications of artificial intelligence in human resource development planning

Document Type : Original Article

Author
Behzad Partovi Khaghan
Phd student of AJA Command and Staff University
10.22034/imhr.2026.565732.1053
Abstract
Abstract
Background and Objective: Not much research has been conducted on the applications of artificial intelligence in human resource development planning. As a result, the main objective of this study is to evaluate the applications of artificial intelligence in human resource development planning.
Methodology: Comparisons were made with Solving SEM structural equations by smart pls software. Inputs were through questionnaires, interviews, and library studies. A total of 60 people knowledgeable about the research topic formed the statistical population.
Findings: The outputs show that the easiest choice for development through this technology is the component of predicting and managing attrition, retaining and retaining talent with a coefficient of 0.773. In the next stage, facilitating recruitment and hiring based on skills and talent with a coefficient of 0.718, Identifying development needs and analyzing skill gaps with a coefficient of 0.553, succession planning and talent management with a coefficient of 0.483, designing and personalizing development and training programs with a coefficient of 0.450, and finally performance management and continuous feedback with a coefficient of 0.289, Requires help from complementary technologies as they are respectively less effective in this research.
Conclusion: To exploit artificial intelligence that drives human resource development, this innovative research presents thematic data mining techniques with the highest relevance.
Keywords
Artificial intelligence
Planning
Development
Human resources

Subjects

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Intelligent Management of Human Capital
Volume 2, Issue 6 - Serial Number 6
Autumn 2025
Pages 176-147