THE SIGNIFICANCE OF (AI) APPLICATION IMPLEMENTATION OVER TRADITIONAL RECRUITMENT IN LIBYAN HUMAN RESOURCE MANAGEMENT (HRM)

Objective: Libyan human resource management (HRM) traditional recruitment methods often rely on subjective assessments and limited data analysis, which can lead to inefficient hiring practices. In contrast, the integration of Artificial Intelligence (Ai) applications promises a more streamlined and effective recruitment process. Theoretical Framework: a comprehensive literature review was conducted to generate a set of organizational advantages by adopting artificial intelligence Ai in recruitment processes enhancing the efficiency and effectiveness of hiring practices. By automating repetitive tasks, (Ai) allows human resource professionals to concentrate on more strategic activities. Method: this study aims to explore impacts of technology on acquisition of human capabilities through recruitment and this effect on organizational effectiveness which when comparing the approaches is the most suitable to be conducted with the inductive approach. The inductive approach allowed the authors to gather data from the literature about how Ai affects HRM and recruitment, which were able to later compare and support with the help of established theory from the field. Results and Discussion: Ai systems can help mitigate biases that often plague traditional recruitment, leading to a more diverse and inclusive workforce. As organizations in Libya navigate a rapidly evolving economic landscape, the adoption of AI in recruitment emerges as a crucial factor in achieving competitive advantage and fostering a robust talent pool. Results Implication: By leveraging Ai, Libyan organizations can foster a more agile and responsive recruitment framework, ultimately leading to the cultivation of a skilled workforce capable of navigating the challenges of an evolving economic landscape. This shift is crucial for the sustainable growth of HRM in Libya.