Beyond Automation: A Systematic Review of AI in Employee Recruitment

This systematic review delves into the realm of AI's integration within employee recruitment processes. Through bibliometric and content analyses, this study explores the development of research in the implementation of AI in employee recruitment and sheds light on its transformative potential and underlying challenges. A total of 24 related publications obtained using the PRISMA method from the Scopus Database were analyzed. The research findings indicate that the research in implementation of AI on employee recruitment has transformed over the time. The integrating AI into recruitment processes enhances the recruitment process through efficiency, decision-making, reduction of biases, and improvement in candidate experience. However, challenges such as concerns regarding technological complexities, ethical concerns, need for human oversight still need to be carefully addressed. This study provides in-depth insights into both the positive impacts and the barriers that must be navigated when adopting AI in employee recruitment. It highlights the importance of addressing technological and ethical challenges and suggests a hybrid approach that combines the strengths of AI with human expertise. Future research should focus on resolving these issues and exploring the unintended consequences of AI integration to align with strategic goals and ethical standards.