Abstract
This study explores the effectiveness of AI in recruitment and its impact on employee perceptions and organizational outcomes. Analyzing data from 140 employees, including demographics and attitudes towards AI recruitment, revealed positive sentiments about AI's relevance and skill representation. However, concerns about time-saving efficiency and algorithm accuracy were noted. Using statistical tools like Kolmogorov-Smirnov, Mann-Whitney U, and Kruskal-Wallis H tests, the study found dependencies between AI perceptions and employee qualifications, indicating a need for tailored recruitment strategies. Despite high correlations among variables, the non-normal data distribution highlights the complexity of employee attitudes towards AI recruitment. The findings emphasize addressing employee concerns and customizing AI recruitment strategies to fit diverse perceptions and qualifications. Further qualitative and longitudinal research is recommended to better understand AI's evolving role in recruitment.
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