Authors: Viraja kanawally
Abstract: Artificial intelligence is becoming increasingly integrated into recruitment and is changing the paradigm in human resource management practices by helping organizations become more efficient in their hiring, decreasing time to hire, and improving quality of hire performance. The current paper explores how predictive analytics driven by AI technology can be applied within a recruitment process by automating resume screening, job-candidate match, and employee turnover predictions. Using survey data collected from 304 firms based in Europe who have adopted AI tools for recruiting purposes, it is found that AI can cut down time to hire by 48.8%, reduce cost per hire by 54.6%, and increase retention rates by 17.9%. Still, 15% of organizations adopt AI to predict internal mobility. The major reasons preventing them from doing so are fears about algorithmic bias, excessive costs associated with AI tool adoption, and resistance from applicants. A framework for predicting recruitment outcomes with the help of AI will be presented.
DOI: https://doi.org/10.5281/zenodo.19697173
