Emotional Readiness as an Algorithmic Advantage: An AI-Driven Analytical Framework for Digital Recruitment Systems

Abstract

The rising trend of artificial intelligence in the recruitment process has brought a paradigm shift in the manner of recruiting, which in turn has sparked critical discussions about employability, equity, and career readiness. The research paper focuses on MBA students' insights about the influence of AI based recruitment software on employability confidence in the business industry. The research follows a quantitative cross- sectional study to collect data from 109 MBA students via a research questionnaire. The research combines age-old statistical analysis with machine learning to interpret findings about the impact of AI awareness, fairness, skill displacement, and AI anxiety and optimism on employability confidence. The analysis techniques employed in this research are correlation analysis, Decision Tree, Random Forest Analysis, K Means Analysis, as well as moderation analysis, which are carried out in Google Colab in Python. The result shows that anxiety and optimism towards AI is a more prominent predictor of confidence in employability than awareness and skill readiness, and awareness of AI is a more prominent predictor of confidence in employability than skill readiness. Business school and HR integration practices demonstrate a strong positive effect on awareness and confidence in employability as well as awareness and confidence in employability among students.