Tracing the Path from Industry 4.0 to Industry 5.0 through Topic Modeling Analysis

Cheng, Zeng and Hong, Cheng Ding and Wai Yie, Leong and Ya, Fei Li (2025) Tracing the Path from Industry 4.0 to Industry 5.0 through Topic Modeling Analysis. INTI JOURNAL, 2025 (01). pp. 1-9. ISSN e2600-7320

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Abstract

This study explores the evolution of research from Industry 4.0 to Industry 5.0 using Latent Dirichlet Allocation (LDA) to uncover key research topics and trends. This paper utilizes the Web of Science (WOS) database to collect literature on Industry 4.0 and 5.0 from 2015 to 2024. Through an LDA-based analysis, five key topics were identified, including IoT and automation, adoption frameworks, digital business transformation, smart manufacturing systems, and AI-driven models. The research highlights the growing importance of human-machine collaboration, blockchain security, and sustainable practices in the transition from Industry 4.0 to Industry 5.0. This study contributes to the understanding of evolving industrial research and offers insights into the future direction of industrial innovation.

Item Type:	Article
Uncontrolled Keywords:	Industry 4.0, Industry 5.0, LDA model, Topic evolution, Research hotspots
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	20 Jan 2025 09:41
Last Modified:	20 Jan 2025 09:41
URI:	http://eprints.intimal.edu.my/id/eprint/2120

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