Artificial Intelligence Models and Employee Lifecycle Management: A Systematic Literature Review

Abstract

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. However, there is no comprehensive study that addresses contributions of AI in EL management. Therefore, the main goal of this study was to address this theoretical gap and determine the contribution of AI models to EL management.

Keywords

• artificial intelligence
• deep learning
• machine learning
• human resource management
• employee lifecycle
• prisma
• systematic literature review