Industry 4.0 Research in Emerging Economies: A Bibliometric Comparison of Brazil and Globally Leading Countries.
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| Title: | Industry 4.0 Research in Emerging Economies: A Bibliometric Comparison of Brazil and Globally Leading Countries. |
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| Authors: | da Rocha, Leandro Scala1,2 scala.leandro@ufrrj.br, De Oliveira Matias, Ítalo2 |
| Source: | Journal of Technology Management & Innovation. 2026, Vol. 21 Issue 1, p112-124. 13p. |
| Subjects: | Industry 4.0, Countries, Internet of things, Developing countries, Bibliometrics, Machine learning, University research, Big data |
| Geographic Terms: | Brazil |
| Abstract: | Objective: This study aims to map and analyze the Industry 4.0 research landscape in Brazil, comparing it with leading countries in order to identify dominant trends, research gaps, and Brazil’s position and potential contributions to the global knowledge base. Methods: A bibliometric approach was adopted based on scientific publications indexed in the Scopus database. Text mining and network analysis techniques were applied using the VOSviewer software to examine publication growth, co-authorship collaboration patterns, and thematic clusters. Comparative analyses between Brazil and leading countries were conducted to identify convergences and divergences in research focus over time. Results: The findings indicate strong global growth in Industry 4.0 research, while Brazil exhibits a comparatively slower expansion. Brazilian publications largely align with international research themes, particularly those related to the Internet of Things (IoT), Big Data, and Machine Learning. However, Brazilian studies show a distinctive emphasis on applications aimed at operational efficiency and sustainability. Conclusions: The study concludes that, although Brazil follows global Industry 4.0 research trends, differences remain in the scale and pace of scientific production. The results highlight opportunities to strengthen Brazil’s position through increased investment in research and development and expanded international collaboration. These insights are relevant for researchers, policymakers, and industry professionals seeking to promote strategic actions that enhance the impact and global integration of Brazilian Industry 4.0 research. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Technology Management & Innovation is the property of JOTMI Research Group and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194647985 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Industry 4.0 Research in Emerging Economies: A Bibliometric Comparison of Brazil and Globally Leading Countries. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22da+Rocha%2C+Leandro+Scala%22">da Rocha, Leandro Scala</searchLink><relatesTo>1,2</relatesTo><i> scala.leandro@ufrrj.br</i><br /><searchLink fieldCode="AR" term="%22De+Oliveira+Matias%2C+Ítalo%22">De Oliveira Matias, Ítalo</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Technology+Management+%26+Innovation%22">Journal of Technology Management & Innovation</searchLink>. 2026, Vol. 21 Issue 1, p112-124. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Countries%22">Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Developing+countries%22">Developing countries</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22University+research%22">University research</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Brazil%22">Brazil</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objective: This study aims to map and analyze the Industry 4.0 research landscape in Brazil, comparing it with leading countries in order to identify dominant trends, research gaps, and Brazil’s position and potential contributions to the global knowledge base. Methods: A bibliometric approach was adopted based on scientific publications indexed in the Scopus database. Text mining and network analysis techniques were applied using the VOSviewer software to examine publication growth, co-authorship collaboration patterns, and thematic clusters. Comparative analyses between Brazil and leading countries were conducted to identify convergences and divergences in research focus over time. Results: The findings indicate strong global growth in Industry 4.0 research, while Brazil exhibits a comparatively slower expansion. Brazilian publications largely align with international research themes, particularly those related to the Internet of Things (IoT), Big Data, and Machine Learning. However, Brazilian studies show a distinctive emphasis on applications aimed at operational efficiency and sustainability. Conclusions: The study concludes that, although Brazil follows global Industry 4.0 research trends, differences remain in the scale and pace of scientific production. The results highlight opportunities to strengthen Brazil’s position through increased investment in research and development and expanded international collaboration. These insights are relevant for researchers, policymakers, and industry professionals seeking to promote strategic actions that enhance the impact and global integration of Brazilian Industry 4.0 research. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Technology Management & Innovation is the property of JOTMI Research Group and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 112 Subjects: – SubjectFull: Industry 4.0 Type: general – SubjectFull: Countries Type: general – SubjectFull: Internet of things Type: general – SubjectFull: Developing countries Type: general – SubjectFull: Bibliometrics Type: general – SubjectFull: Machine learning Type: general – SubjectFull: University research Type: general – SubjectFull: Big data Type: general – SubjectFull: Brazil Type: general Titles: – TitleFull: Industry 4.0 Research in Emerging Economies: A Bibliometric Comparison of Brazil and Globally Leading Countries. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: da Rocha, Leandro Scala – PersonEntity: Name: NameFull: De Oliveira Matias, Ítalo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 07182724 Numbering: – Type: volume Value: 21 – Type: issue Value: 1 Titles: – TitleFull: Journal of Technology Management & Innovation Type: main |
| ResultId | 1 |