Author(s):
Sivakami. R., Yazhini Sangamitra N
Email(s):
M23CO36@mccblr.edu.in
DOI:
10.52711/2321-5763.2025.00023 
Address:
Sivakami. R.1, Yazhini Sangamitra N2
1Associate Professor, Mount Carmel College, Autonomous, Bengaluru, India.
2M.Com, Mount Carmel College, Autonomous, Bengaluru, India.
*Corresponding Author
Published In:
Volume - 16,
Issue - 2,
Year - 2025
ABSTRACT:
The rapid advancement of technology has revolutionized human resource management, particularly in talent acquisition, workforce planning, and leadership succession. This study explores the role of predictive analytics as a key driver of agile recruitment strategies, enabling organizations to optimize hiring, anticipate skill gaps, and improve workforce retention. By analysing historical hiring data and leveraging AI-driven insights, HR professionals can enhance decision-making, reduce recruitment biases, and streamline leadership succession planning. The research adopts a mixed-method approach, combining survey responses from HR professionals across various industries with qualitative insights from interviews. Findings indicate that organizations leveraging predictive analytics report improved hiring efficiency, proactive workforce planning, and stronger leadership pipelines. However, challenges such as data privacy concerns, algorithmic bias, and the need for specialized expertise hinder broader adoption.
Cite this article:
Sivakami. R., Yazhini Sangamitra N. Recruitment Paradigms: Predictive Analytics as a Catalyst for Agile Recruitment and Leadership Succession. Asian Journal of Management. 2025;16(2):147-2. doi: 10.52711/2321-5763.2025.00023
Cite(Electronic):
Sivakami. R., Yazhini Sangamitra N. Recruitment Paradigms: Predictive Analytics as a Catalyst for Agile Recruitment and Leadership Succession. Asian Journal of Management. 2025;16(2):147-2. doi: 10.52711/2321-5763.2025.00023 Available on: https://ajmjournal.com/AbstractView.aspx?PID=2025-16-2-12
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