AI in HRM: Revolutionizing Recruitment, Performance Management, and Employee Engagement

International Journal of Academic Applied Research (Ijaar) 8 (9):16-23 (2024)
  Copy   BIBTEX

Abstract

Artificial Intelligence (AI) is rapidly transforming Human Resource Management (HRM) by enhancing the efficiency and effectiveness of key functions such as recruitment, performance management, and employee engagement. This paper explores the integration of AI technologies in HRM, focusing on their potential to revolutionize these critical areas. In recruitment, AI-driven tools streamline candidate sourcing, screening, and selection processes, leading to more accurate and unbiased hiring decisions. Performance management is similarly transformed, with AI enabling continuous, data-driven feedback and personalized development plans that align with organizational goals. Furthermore, AI facilitates more engaging and tailored employee experiences by leveraging predictive analytics to anticipate and address employee needs. Despite these advancements, the paper also addresses the ethical considerations and challenges associated with AI in HRM, including data privacy concerns and the risk of over-reliance on automated systems. Through a comprehensive analysis, this paper aims to provide insights into how AI can be strategically leveraged to optimize HRM practices, while highlighting the need for a balanced approach that integrates human judgment with technological innovation.

Other Versions

No versions found

Links

PhilArchive

External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Analytics

Added to PP
2024-10-13

Downloads
2,375 (#5,150)

6 months
2,375 (#229)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Samy S. Abu-Naser
North Dakota State University (PhD)

Citations of this work

View all 8 citations / Add more citations

References found in this work

View all 34 references / Add more references