Systematic literature review: The implementation of artificial intelligence (IA) sophistication in facilitating the employee recruitment process

Nicky Gilang Wicaksono *, Bella Gusniar and Yoga Adi Saputra

Department of International Business Management, Faculty of Law, Business and Technology, Sugeng Hartono University, Ir. Soekarno 69, Madegondo, Gogol, Sukoharjo, Jawa Tengah, Indonesia.
 
Review
International Journal of Science and Research Archive, 2024, 13(01), 2674–2679.
Article DOI: 10.30574/ijsra.2024.13.1.1952
Publication history: 
Received on 03 September 2024; revised on 12 October 2024; accepted on 15 October 2024
 
Abstract: 
This study aims to analyze the application of sophisticated artificial intelligence (AI) in facilitating the employee recruitment process. The research method used is Systematic Literature Review (SLR). Researchers obtained research data from Google Scholar and other research journal article providers over a period of 6 years, namely 2019-2024. 73 journals were obtained after that the data was reduced with several criteria, namely inclusion and exclusion criteria, 10 journals were obtained to be reviewed. The results of this study state that sophisticated AI simplifies the employee recruitment process from the beginning of the recruitment process because it can be more efficient in terms of cost, time, and energy and can reduce the subjectivity of human assessment. However, the final recruitment process still requires the intervention of Human Resources. This is because AI is less able to adapt to culture and language which can cause bias in decision making. AI software that is often used by companies to facilitate the employee recruitment process is Job Agrigator Software and Candidate Assessmant Software.
 
Keywords: 
Artificial Intelligence; Recruitment; Systematic Literature Review; Job Agrigator Software; Candidate Assessmant Software
 
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