The Effect of Ai-Based Employee Selection on Recruitment Quality and Organizational Performance

Abstract

AI is being integrated into numerous aspects of human resource management (HRM) including applicant and employee management. Accordingly, the focus of this paper is AI in recruitment and employee selection. AI has the potential to optimize and standardize recruitment processes by screening job applicants, assessing their suitability, and making recommendations to hiring managers. While the impacts of using AI in recruitment processes are numerous and varied, this research aims to identify the impacts on recruitment processes and the organization. In addition, this research aims to determine the impacts of using AI in employee selection processes on organizational performance and to assess recruitment processes to determine if they act as an intermediary in this relationship. This research is quantitative in nature and will use a survey to evaluate the effects of utilizing AI in employee selection processes. The survey will assess organizational performance and recruitment processes. The survey will be completed by 300 participants and the research will analyze the data using SPSS.

Keywords: Artificial Intelligence, employee selection, recruitment quality, organizational performance, recruitment, HRM, AI-based recruitment, mediation