Transforming HR Operations: The Impact of Artificial Intelligence on Recruitment and Staffing for Enhanced Employee Performance

Abstract

The rapid integration of Artificial Intelligence (AI) into modern corporate settings has generated both fascination and notable progress, solidifying its role as a defining feature of the 21st century. This study aims to explore the causal relationships between AI adoption and its impact on recruitment and staffing processes within contemporary businesses. The ongoing development of AI offers numerous opportunities to improve the perrformance and efficiency of talent acquisition procedures. Using a quantitative research approach, data was collected from various companies across multiple industries. The focus was on assessing the extent of AI use in recruitment processes and analyzing the correlation between AI implementation and recruitment outcomes. Key metrics examined included the quality of hired candidates, the time required to fill positions, and the overall effectiveness of staffing strategies. The study uncovered several key insights. Attitudes toward AI emerged as a significant factor influencing its adoption in recruitment, with organizational perceptions of AI’s benefits outweighing external social pressures as well as minimizes the workplace ostracism influence. In contrast, subjective norms played a minimal role in AI adoption decisions. Additionally, demographic factors, particularly education levels, revealed deeper dynamics affecting perceptions of AI and its future use. By employing this rigorous empirical analysis, businesses can gain valuable insights into the potential benefits and challenges of AI in recruitment, enhancing their ability to make informed strategic decisions.