Original Research

Transitioning from Industry 4.0 to 5.0: Sustainable supply chain management and talent management insights

Alexander B. Samuels, Anna-Marie Pelser
SA Journal of Human Resource Management | Vol 23 | a2874 | DOI: https://doi.org/10.4102/sajhrm.v23i0.2874 | © 2025 Alexander B. Samuels, Anna-Marie Pelser | This work is licensed under CC Attribution 4.0
Submitted: 29 October 2024 | Published: 27 February 2025

About the author(s)

Alexander B. Samuels, Department of Transport Economics and Logistics Management, Faculty of Economics and Management Sciences, North-West University, Mahikeng, South Africa
Anna-Marie Pelser, Global Innovative Forefront Talent (GIFT) Entity, Faculty of Economic and Management Sciences, North-West University, Mahikeng, South Africa

Abstract

Orientation: A systematic literature review emphasises the importance of building a resilient and forward-looking industrial sector that can adapt to the evolving demands of Industry 5.0 as it transitions from Industry 4.0. The strategic recommendations from this review underscore the significance of sustainable supply chain management (SSCM) and effective talent management.

Research purpose: This study aims to investigate how the transition from Industry 4.0 to Industry 5.0 impacts SSCM and talent management, based on a systematic review and synthesis of existing literature.

Motivation for the study: The significance of the study lies in understanding the profound implications of Industry 5.0 on supply chain sustainability and workforce development, particularly in the context of integrating human-centric and sustainable practices with advanced digital technologies.

Research approach/design and method: The study employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to conduct a comprehensive systematic review. It synthesises existing literature focussing on the technological advancements, human resource challenges and sustainable practices adopted by industries transitioning from Industry 4.0 to Industry 5.0.

Main findings: The study reveals that industries are increasingly integrating advanced technologies such as artificial intelligence (AI), big data analytics and blockchain to improve supply chain efficiency and sustainability. Significant emphasis is placed on reskilling and upskilling the workforce to align with the demands of new technologies and human-centric industrial processes.

Practical/managerial implications: The findings highlight the key role of policymakers, industry leaders, and educational institutions in driving the successful adaptation to Industry 5.0. Policymakers must prioritise funding and supportive regulations, while industry leaders need to embrace ongoing upskilling initiatives.

Contribution/value-add: The study proposes several strategic recommendations, including the development of inclusive digital infrastructure, encouraging industry collaborations to align educational curricula with market needs and promoting continuous professional development for employees. These recommendations aim to facilitate a resilient and forward-thinking industrial sector capable of meeting the evolving demands of Industry 5.0.


Keywords

artificial intelligence; industry 4.0; Industry 5.0; sustainable supply chain management; systematic literature review; talent management

JEL Codes

M54: Labor Management; O33: Technological Change: Choices and Consequences • Diffusion Processes; Q56: Environment and Development • Environment and Trade • Sustainability • Environmental Accounts and Accounting • Environmental Equity • Population Growth

Sustainable Development Goal

Goal 11: Sustainable cities and communities

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