The Impact of Artificial Intelligence on Recruitment and Selection for Human Resource Management: A Systematic Literature Review
Artificial intelligence (AI), an essential element of modern technology, is expanding the limits of multiple sectors through its ability to perform repetitive tasks and process data effectively. Its innovative impact has caused significant interest in human resource management (HRM), particularly in recruitment and selection practices. Several problems affect big companies because of this rapid and dynamic technological change. Many companies cannot keep up with these changes, which is why the main objective of this article is to inform companies and HR professionals about the critical factors in the adoption of artificial intelligence (AI) and enable successful implementation, therefore enhancing the efficiency and productivity of HR practices in this technological era [1]. The research uses a qualitative descriptive study method and a systematic literature review (SLR) to give an organized overview of previous academic research. Our study indicates several different factors can be categorized into four groups: technology, user expectations, organization, and external environment. Because of this study, human resource (HR) professionals need to be aware of the factors that affect the adoption of AI. Research has been done on 13 online databases, namely Scopus, IEEE Xplore, Springer, Science Direct, Emerald, Google Scholar, Taylor and Francis, MDPI, Sage Journal, AJM, Wiley Online Library, Scientific Temper, and Semantic Scholar. The search came back with 25 articles that fulfilled the criteria out of 107,499 articles initially discovered, authored by 79 different authors from 8 institutions and 46 universities in 22 different countries. The information provided in this article is intended to help businesses use AI more successfully and improve their efficiency to be able to compete with larger organizations. The implication of this research suggests that a thorough understanding of these factors can significantly enhance HRM practices through AI adoption.
Authors
- Desi Maya Kristin
- Raynald Samuel Lodra
- Tyaga Padhana
Institutions
- Binus University (ID)
Publication Details
- Published
- 2024-09-04
- DOI
- https://doi.org/10.1109/iciss62896.2024.10751529
- Citations
- 3
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 2.02