Purpose This paper reviews 105 Scopus-indexed articles to identify the degree, scope and
purposes of machine learning (ML) adoption in the core functions of human resource …

In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

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 …

Competent employees are a rare commodity for great companies. The problem of
maintaining good employees with experience threatens the owners of companies. The issue …

In the last few years, all companies have been interested in the analysis of data related to
Human Resources and have focused on human capital, which is considered as the major …

The paper aims to examine the factors that influence employee attrition rate using the
employee records dataset from kaggle. com. It also aims to establish the predictive power of …

Businesses in the E-Commerce sector, especially those in the business-to-consumer
segment, are engaged in fierce competition for survival, trying to gain access to their rivals' …

Purpose Amidst the turbulent tides of geopolitical uncertainty and pandemic-induced
economic disruptions, the information technology industry grapples with alarming attrition …

This study presents a comprehensive and systematic review of the machine learning (ML)
techniques used to predict employee turnover in the past decade. A total of 52 relevant peer …

Employee turnover (ET) can cause severe consequences to a company, which are hard to
be replaced or rebuilt. It is thus crucial to develop an intelligent system that can accurately …