Abstract Background/Purpose: The use of artificial intelligence (AI) models for data-driven
decisionmaking in different stages of employee lifecycle (EL) management is increasing …

Background and purpose: The use of artificial intelligence (AI) models for data-driven
decision-making in different stages of employee lifecycle (EL) management is increasing …

Employee turnover (ET) is a significant problem that businesses in all industries must deal
with. In order to avoid paying for hiring and training, businesses are constantly seeking ways …

The decision tree is established by the employee turnover as a target variable, and gender,
marital status, household registration, registered permanent residence, age, driving …

In recent years, the number of Chinese university graduates is increasing, which not only
leads to the problem of supply and demand of talents, but also make it difficult for graduates …

This study was conducted to understand research trends of HR Analytics (HRA) in Korea
and to suggest future research directions. First, a comparative analysis was conducted by …

Predictive analytics in HR is a rapidly evolving field that leverages artificial intelligence and
data-driven decision-making to revolutionize the way HR decisions are made. By utilizing …

The purpose of this study was to evaluate the effectiveness of using natural language
processing (NLP) artificial intelligence (AI) in enterprise resources planning (ERP) to identify …

In today's technologically driven world, data is essential for decision making process. A
comprehensive data analysis is needed to review past practices to improve business …

This Dissertation aims to help the HR and Project Managers in improving the retention rate
of the valuable employees in an organization, thereby minimizing the employee turnover …