The purpose of this study was to empirically examine the relationship between smart
recruitment, predictive hiring algorithms, and the data-driven nature of artificial intelligence. …

… Social implications – This research implies that algorithms … If bias exists in talent acquisition
software, the potential for … for considering algorithmic bias in talent acquisition. Feminist …

… talent technology framework to reduce cost per hire, reduce time to hire and increase quality
of hire… Advanced software algorithms can identify talent and match it to an organization’s …

… of hiring in the literature. We argue that if/when we can effectively delegate hiring decisions
in organizations to algorithms… or insights are discovered via talent acquisition, managers may …

… the incorporation of AI in talent acquisition which raises a debate; … human relational interactions
during the hiring process. On the other … during talent acquisition, we adopt the algorithmic …

… of machine learning in talent acquisition. In summary, this research sheds light on the
potential of datadriven talent acquisition to revolutionize hiring practices in developing countries, …

… for each hire at least ten potential profiles are scrutinized and evaluated, the Talent Acquisition
(… Accuracy of the algorithm is measured on 160 free-form resumes of candidates in which …

… hiring and talent acquisition operations. It can be concluded that AI has the potential to
improve the quality of the hiring … effects, as well as audited Al technology and talent algorithms. …

… with algorithmic decision-making in talent acquisition. Beyond … of both job seekers and hiring
professionals, this research … the integration of AI in talent acquisition. By critically assessing …

… Although the combination of Cognitive AI and ML algorithms … and the ensuing effect on
talent acquisition. Prior studies have … AI, machine learning algorithms, and hiring practices. By …