Acceso usuarios
Wael Abdulrahman Albassam
Purpose: The aim of this study is to contribute to the understanding of the power of artificial intelligence (AI) in recruitment and to highlight the opportunities and challenges associated with its use.
Theoretical framework: This paper provides a comprehensive analytical review of current AI-based recruitment strategies, drawing on both academic research and industry reports.
Design/methodology/approach: The paper critically evaluates the potential benefits and drawbacks of using AI in recruitment and assesses the effectiveness of various AI-based recruitment strategies.
Findings: The results indicate that AI-based recruitment strategies such as resume screening, candidate matching, video interviewing, chatbots, predictive analytics, gamification, virtual reality assessments, and social media screening offer significant potential benefits for organizations, including improved efficiency, cost savings, and better-quality hires. However, the use of AI in recruitment also raises ethical and legal concerns, including the potential for algorithmic bias and discrimination.
Research, Practical & Social implications: The study concludes by emphasizing the need for further research and development to ensure that AI-based recruitment strategies are effective, unbiased, and aligned with ethical and legal standards.
Originality/value: The value of the study lies in its comprehensive exploration of AI in recruitment, synthesizing insights from academic and industry perspectives, and assessing the balance of potential benefits against ethical and legal concerns.
