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

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

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-bas...

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Main Authors:	Cheng, Zeng, Hong, Cheng Ding, Wai Yie, Leong, Ya, Fei Li
Format:	Article
Language:	English English
Published:	INTI International University 2025
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.intimal.edu.my/2120/1/ij2025_01.pdf http://eprints.intimal.edu.my/2120/3/661 http://eprints.intimal.edu.my/2120/ https://intijournal.intimal.edu.my
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id	my-inti-eprints.2120
record_format	eprints
spelling	my-inti-eprints.21202025-01-20T09:41:38Z http://eprints.intimal.edu.my/2120/ Tracing the Path from Industry 4.0 to Industry 5.0 through Topic Modeling Analysis Cheng, Zeng Hong, Cheng Ding Wai Yie, Leong Ya, Fei Li T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering 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. INTI International University 2025-01 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2120/1/ij2025_01.pdf text en cc_by_4 http://eprints.intimal.edu.my/2120/3/661 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 https://intijournal.intimal.edu.my
institution	INTI International University
building	INTI Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	INTI International University
content_source	INTI Institutional Repository
url_provider	http://eprints.intimal.edu.my
language	English English
topic	T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Cheng, Zeng Hong, Cheng Ding Wai Yie, Leong Ya, Fei Li Tracing the Path from Industry 4.0 to Industry 5.0 through Topic Modeling Analysis
description	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.
format	Article
author	Cheng, Zeng Hong, Cheng Ding Wai Yie, Leong Ya, Fei Li
author_facet	Cheng, Zeng Hong, Cheng Ding Wai Yie, Leong Ya, Fei Li
author_sort	Cheng, Zeng
title	Tracing the Path from Industry 4.0 to Industry 5.0 through Topic Modeling Analysis
title_short	Tracing the Path from Industry 4.0 to Industry 5.0 through Topic Modeling Analysis
title_full	Tracing the Path from Industry 4.0 to Industry 5.0 through Topic Modeling Analysis
title_fullStr	Tracing the Path from Industry 4.0 to Industry 5.0 through Topic Modeling Analysis
title_full_unstemmed	Tracing the Path from Industry 4.0 to Industry 5.0 through Topic Modeling Analysis
title_sort	tracing the path from industry 4.0 to industry 5.0 through topic modeling analysis
publisher	INTI International University
publishDate	2025
url	http://eprints.intimal.edu.my/2120/1/ij2025_01.pdf http://eprints.intimal.edu.my/2120/3/661 http://eprints.intimal.edu.my/2120/ https://intijournal.intimal.edu.my
_version_	1823016558147928064
score	13.232414

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

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