Volume 1 Number 1 2025
Leveraging Artificial Intelligence for Human Resource Analytics from Recruitment to Retention
Md Iqbal Hossain1*, Ispita Jahan2, Md Sakib Mia3, Niladry Chowdhury3, Sonia Khan Papia4
Journal of Ai ML DL 1 (1) 1-8 https://doi.org/10.25163/ai.1110384
Submitted: 02 April 2025 Revised: 09 June 2025 Published: 11 June 2025
Abstract
Background: Human Resource Management (HRM) experiences substantial changes from Artificial Intelligence (AI) through its ability to deliver data-based recruitment and onboarding insights and performance management and retention analytics. Organizations competing for talent together with employee experience needs achieve measurable decision-making and workforce outcome advantages through AI HR analytics implementation.
Methods: A total of 100 HR professionals from technology and finance sectors as well as retail and healthcare and manufacturing industries participated in the research. The data collection process used a structured questionnaire to assess AI implementation stages and usage locations together with participant views on benefits and implementation hurdles. Quantitative data underwent descriptive statistical analysis while qualitative information helped explain implementation barriers and ethical concerns.
Results: Organizations that apply AI-driven HR analytics achieve significant performance improvements. The recruitment process became 20–35% more efficient while the time for hiring shortened drastically and candidate assessment quality improved by 30%. Employee engagement scores showed an 18% increase and voluntary attrition rates dropped by 25%. Organizations which implemented AI-based performance monitoring systems managed to identify employees who needed retention the most thus enhancing their targeted retention approaches. Survey participants pointed out three main obstacles which included data privacy problems (62%), algorithmic bias (48%) and implementation expenses (41%).
Conclusion: The successful adoption of technology demands organizations to combine its functional aspects with moral standards which protect equality along with open operations and confidence building.
Keywords: Artificial Intelligence, Human Resource Analytics, Recruitment, Employee Retention, Machine Learning, Workforce Management
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