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Artificial intelligence in human resource management: models for recruitment, training, performance, compensation,
Meysam Safshekan1, Ardalan Feili1, Ali Shojaeifard2
1Department of Management, Apadana Institute of Higher Education, Shiraz, Iran.
Introduction:
In the era of rapid technological advancement, artificial intelligence (AI) has emerged as a transformative force across various industries, including human resource management (HRM). This study examines the application of AI in HRM systems, with a focus on recruitment, hiring, training, performance management, compensation, and human capital retention.
Methods:
This study adopts a qualitative research approach. Experts in artificial intelligence and human resource management were identified, and data were collected through qualitative methods. The data were analyzed using thematic analysis.
Results:
The findings reveal the introduction of AI application models across various HRM systems. These models demonstrate how AI enhances efficiency and effectiveness in key HR functions.
Discussion:
The results highlight the transformative potential of AI in HRM by enabling data-driven decision-making and improving workforce planning. This research provides valuable insights for human resource professionals seeking to leverage AI to enhance organizational performance across industries.
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