A study of effectiveness of Artificial Intelligence on Recruitment and Selection Process in IT Firms

Abstract

This study examines the effectiveness of Artificial Intelligence (AI) in the recruitment and selection process in IT firms, focusing on key dimensions such as recruitment time-to-hire, cost-per-hire, and recruiter effectiveness. The study is based on primary data collected from a sample of 175 respondents, using a structured questionnaire measured on a five-point Likert scale. AI has been increasingly adopted in HR practices to enhance efficiency, improve decision-making, and reduce manual intervention. The study aims to evaluate how AI-driven recruitment tools contribute to operational efficiency and overall hiring performance in IT organizations. The findings reveal that AI significantly improves recruitment outcomes, particularly in reducing time-to-hire and enhancing recruiter effectiveness. Statistical tools such as descriptive analysis, Friedman test, and Pearson correlation were used to analyze the data. The results indicate a significant difference in AI’s effectiveness in reducing recruitment time and a strong positive relationship between cost efficiency and recruiter satisfaction. The study concludes that AI is a powerful tool in modern recruitment systems, though organizations must balance its use with ethical considerations such as bias and transparency.