Jurnal Akuntansi, Manajemen dan Bisnis Digital
Vol 4 No 1 (2025): Januari

Improving Recruitment Efficiency And Effectiveness Through AI And Automation: A Literature Review

Carolina, Sisi Yulisia (Unknown)
Putri, Ratih Lintang (Unknown)
Djangkaru, Ruth Riyani (Unknown)



Article Info

Publish Date
18 Dec 2024

Abstract

This study aims to explore the role of Artificial Intelligence (AI) and automation technologies in transforming modern recruitment processes. Through a systematic literature review, this study analyzes how advanced technologies can improve the efficiency and effectiveness of human resource management. The research method uses a literature study approach by collecting and analyzing 30 scientific articles from various academic databases between 2019-2024. The review results show that AI implementation in recruitment can optimize candidate selection processes, reduce subjective bias, and accelerate recruitment time by up to 60%. Automation technology has proven capable of comprehensively analyzing candidate profiles, processing application documents, and conducting pre-selection with high accuracy. This study concludes that the integration of AI and automation is a transformative strategy in modern recruitment management, providing a competitive advantage for organizations in recruiting quality talent. Recommendations for further research are to explore the ethical challenges and practical implementation of these technologies.

Copyrights © 2025






Journal Info

Abbrev

jambd

Publisher

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Description

JURNAL AKUNTANSI, MANAJEMEN DAN BISNIS DIGITAL is a peer-reviewed journal. Journal of Accounting, Management and Digital Business invites academics and researchers who do original research in the fields of accounting, management, and Digital Business including but not limited to: Accounting Sciences ...