The present research aims to identify significant contributors, recent dynamics, domains and
advocates for future study directions in the arena of integration of Artificial Intelligence (AI) …

In the era of data science and big data analytics, people analytics help organizations and
their human resources (HR) managers to reduce attrition by changing the way of attracting …

Purpose This paper aims to focus on the issue of high employee turnover in the Indian tech
industry. An integrative review is conducted to analyse the past and current state of …

This study presents an innovative methodology to predict employee turnover by integrating
Artificial Neural Networks (ANN) with clustering techniques. We focus on hyperparameter …

Employee categorisation differentiates valuable employees as eighty per cent of profit
comes from twenty per cent of employees. Also, retention of all employees is quite …

The purpose of this article is to examine the relationship of leadership effectiveness and
psychological well-being with the work outcomes of intention to quit, job involvement and …

Abstract This study evaluates Sustainable Training Practices (STP) that promote
organizational growth and ensure the attainment of sustainable HRM objectives. First, we …

Purpose This research intends to develop a model for predicting employees at a high-risk
attrition and identify the most important factors affecting them. Design/methodology …

Research investigation in this study, an Artificial-Neural-Network (ANN) castoff to conjecture
monetary market conduct. Our primary objective is to build up a neural system to see …

Employees are one of the most important resources of a company. The churn of valuable
employees significantly affects a company's performance. The design of systems that predict …