The Evolution of Human Resource Management: From Traditional Practices to Digital Twin-driven Approaches

Bibliographic Details
Title: The Evolution of Human Resource Management: From Traditional Practices to Digital Twin-driven Approaches
Authors: Verma, Ruchi, Mathur, Rashmi, Pahuja, Saloni, Kumar, Pawan, Dadwal, Sumesh
Source: HR 5.0 Integration ; page 25-44 ; ISBN 9781837081134 9781837081127 9781837081134 9781837081158 9781837081141
Publisher Information: Emerald Publishing Limited
Publication Year: 2026
Description: With the advent of time, the traditional human resource (HR) practices faded to meet the advances and requisites of keeping the pace with the ongoing revolution in the HR industry. This evolution from traditional practices to digital twin-driven approaches have significantly marked a change in the way businesses handle their employees. This chapter examines the transformation of human resource management (HRM) from traditional practices to the contemporary digital twin-driven methodologies. It explores the key characteristics, benefits, and challenges at each stage of evolution, highlighting how digital twin technology revolutionizes HRM. It also imparts an analysis of the strategic consequences of this transition for the success of organizations and suggests a paradigm for adopting HRM powered by digital twins. However, both concepts under investigation are gaining increasing attention in the literature, and the research gap widens further when considering their associated perspectives. Moreover, there is a notable lack of literature that focuses on the negative aspects of this advanced technology. This chapter proposes a framework for showing the evolution stages and the smooth transition of HR practices from traditional to modern.
Document Type: book part
Language: English
ISBN: 978-1-83708-113-4
978-1-83708-114-1
1-83708-113-1
1-83708-114-X
DOI: 10.1108/978-1-83708-112-720261002
Availability: https://doi.org/10.1108/978-1-83708-112-720261002
https://www.emerald.com/books/edited-volume/chapter-pdf/11168158/978-1-83708-112-720261002en.pdf
Accession Number: edsbas.A66E1191
Database: BASE
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