Abstract:Recruitment and selection are critical processes within human resource management that significantly influence organizational performance and success. The evolution of recruitment methods, driven by technological advancements and changing workforce expectations, necessitates an in-depth examination of contemporary practices. This study critically evaluates various recruitment and selection techniques employed by Computer Age Management Services, focusing on traditional methods and modern innovations like AI-driven hiring and psychometric testing. Using quantitative data collected from a sample of fifty participants and analyzed through statistical tools, the research identifies the effectiveness, challenges, and impacts of different methods on organizational success. Findings highlight significant correlations between recruitment practices and organizational outcomes, suggesting the need for strategic, ethical, and technologically adaptive hiring approaches. The study concludes by emphasizing best practices for recruitment and suggesting areas for future research to optimize talent acquisition.

Keywords: Recruitment Methods, Selection Techniques, Human Resource Management, AI in Hiring, Organizational Performance.

| DOI: 10.17148/IARJSET.2025.12462