Classification and selection of job applications using AI techniques
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Date
2024
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Abstract
Human resource management (HRM) plays a pivotal role in organizational success by overseeing
invaluable assets - employees. HRM encompasses diverse responsibilities including
recruitment, training, performance evaluation, and compensation management. Effective HRM
enhances work efficiency, product/service quality, and employee satisfaction, crucial for longterm
organizational commitment. In the digital age, organizations undergo digital transformation,
where artificial intelligence (AI) emerges as a revolutionary tool. AI’s cognitive capabilities
promise to revolutionize HRM, offering efficiency and productivity enhancements.
This study explores AI’s role in HRM, focusing on e-recruitment and its impact on candidate
selection and classification. Through detailed examination, it aims to elucidate AI’s contributions
to HRM, offering insights into its functions, classifications, and integration challenges.
The study presents a comprehensive analysis organized into four chapters, delving into HRM
principles, AI integration in e-recruitment, proposed AI-enabled recruitment approaches, and
practical implementation considerations. Each chapter provides empirical research and case
studies, facilitating a thorough understanding and effective AI implementation in recruitment
processes.