HR 4.0: Integrating AI and automation in human resource development

Title

HR 4.0: Integrating AI and automation in human resource development

Creator

Balaji, K.

Description

Artificial Intelligence (AI) and automation within Human resource development (HRD) under the concept of HR 4.0 are revolutionizing HR practices by enhancing efficiency, accuracy, and strategic decision-making. These technologies transform key HRD processes such as training, talent management, and employee engagement, driving organizational success. This study systematically reviews the integration of AI and automation practices within Human resource development under the concept of HR 4.0. It examines how these technologies are transforming HRD practices, including training, talent management, performance evaluation, and employee engagement. Through a comprehensive analysis of existing literature from library data from published electronic and printed databases, the study identifies key trends, benefits, and challenges associated with artificial intelligence and automation techniques in Human Resource Development practices. The narrative synthesis of findings reveals the profound impact of these technologies on improving efficiency, accuracy, and strategic decision-making in HRD processes. Furthermore, the review highlights ethical considerations, such as data privacy and algorithmic bias, and offers practical insights for HRD practitioners aiming to leverage AI and automation effectively. It also recognizes research gaps and suggests future research directions to further explore the potential of Artificial Intelligence and automation in enhancing human resource development. 2026 Pushan Kumar Dutta, Amarnath Padhi, Sulagna Das, Vinod Kr Sharma and Poshan Yu. All rights reserved.

Source

AI and Innovation in HRM: The Future of Strategic HR in the Service Economy;pp.170-190

Date

01-01-2025

Publisher

Taylor and Francis

Coverage

Balaji K., Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-100352215-7; 978-103286275-0;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4324/9781003522157-11

https://www.scopus.com/pages/publications/105014132893?origin=resultslist