The Impact of Artificial Intelligence on Recruitment Practices in Zain Jordan; A Perspective of Transforming Human Resources
Purpose: The study aims to examine Artificial intelligence (AI) impact on recruitment efficiency, investigate organizational factors’ moderating role, and propose best Artificial intelligence (AI) integration practices. It offers strategic insights for human resources. (HR) professionals, strategists, and policymakers, emphasizing strategic issues, ethical consequences, and organizational preparation.
Methodology: It employs a quantitative approach, surveying 40 human resources (HR) experts from Zain Jordan which is one of the leading telecommunication companies, to assess artificial intelligence. (AI) usage and its influence on recruitment efficiency and organizational characteristics like technology readiness and business culture.
Findings: The study reveals moderate positive correlations between Artificial intelligence (AI) integration in Human resources (HR) recruitment and perceived improvements in recruitment efficiency. Additionally, it identifies significant yet cautious relationships between Artificial intelligence (AI) implementation, technological readiness, and a company culture conducive to continuous learning. Despite these promising trends, the statistical analysis, including ANOVA and T-test, suggests that these correlations are not strongly significant at conventional levels, indicating the need for further research. These preliminary findings underscore the potential of Artificial intelligence (AI) in enhancing Human resources (HR) recruitment processes, while also highlighting the necessity of a supportive organizational environment for effective AI integration.
Keywords: Artificial Intelligence (AI), Human Resources Recruitment, Technological Readiness, Organizational Culture, Efficiency Improvement
