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:
Online Access:http://eprints.intimal.edu.my/2120/
http://eprints.intimal.edu.my/2120/3/661
http://eprints.intimal.edu.my/2120/4/ij2025_01r.pdf
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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
building INTI Institutional Repository
collection Online Access
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.
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language English
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spelling intimal-21202025-07-23T06:09:09Z 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/2120/3/661 text en cc_by_4 http://eprints.intimal.edu.my/2120/4/ij2025_01r.pdf 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
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
title 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_short 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
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.intimal.edu.my/2120/
http://eprints.intimal.edu.my/2120/
http://eprints.intimal.edu.my/2120/3/661
http://eprints.intimal.edu.my/2120/4/ij2025_01r.pdf