Neural Network Model for Talent Recruitment and Management for Employee Development and Retention

Abstract

Talent management is the process of identifying the vacant position, recruiting the suitable person, developing the skills and expertise of the person to make the person more suitable for the position and retaining him to achieve long term business objectives of the institution. The purpose of this research was to develop a machine learning model for talent recruitment and management for use in human resource department. The research therefore proposes a human resource Ensemble neural network model for use in talent recruitment and management for employee development and retention. The model developed attained a predictive accuracy of 95.313% and this showed that machine learning models can be used successively for talent recruitment in human resource department. The study explores literature review on neural network and how it has been used which gives the basis of this study.