A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises
Industry 4.0 represents the main paradigm currently bringing great innovation in the field of automation and data exchange among production technologies, according to the principles of interoperability, virtualization, decentralization and production flexibility. The Fourth Industrial Revolution is...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | AI |
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| Online Access: | https://www.mdpi.com/2673-2688/6/3/54 |
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| author | Federico Briatore Marco Tullio Mosca Roberto Nicola Mosca Mattia Braggio |
| author_facet | Federico Briatore Marco Tullio Mosca Roberto Nicola Mosca Mattia Braggio |
| author_sort | Federico Briatore |
| collection | DOAJ |
| description | Industry 4.0 represents the main paradigm currently bringing great innovation in the field of automation and data exchange among production technologies, according to the principles of interoperability, virtualization, decentralization and production flexibility. The Fourth Industrial Revolution is driven by structural changes in the manufacturing sector, such as the demand for customized products, market volatility and sustainability goals, and the integration of artificial intelligence and Big Data. This work aims to analyze, from a bibliometric point of view of journal papers on Scopus, with no time limitation, the existing literature on the application of AI in SMEs, which are crucial elements in the industrial and economic fabric of many countries. However, the adoption of modern technologies, particularly AI, can be challenging for them, due to the intrinsic structure of this type of enterprise, despite the positive effects obtained in large organizations. |
| format | Article |
| id | doaj-art-ae075aa3712346c8b334fee5a01f572a |
| institution | DOAJ |
| issn | 2673-2688 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | AI |
| spelling | doaj-art-ae075aa3712346c8b334fee5a01f572a2025-08-20T02:41:51ZengMDPI AGAI2673-26882025-03-01635410.3390/ai6030054A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium EnterprisesFederico Briatore0Marco Tullio Mosca1Roberto Nicola Mosca2Mattia Braggio3Mechanical, Industrial and Transport Engineer Department (D.I.M.E.), University of Genoa, 16126 Genoa, ItalyMechanical, Industrial and Transport Engineer Department (D.I.M.E.), University of Genoa, 16126 Genoa, ItalyMechanical, Industrial and Transport Engineer Department (D.I.M.E.), University of Genoa, 16126 Genoa, ItalyMechanical, Industrial and Transport Engineer Department (D.I.M.E.), University of Genoa, 16126 Genoa, ItalyIndustry 4.0 represents the main paradigm currently bringing great innovation in the field of automation and data exchange among production technologies, according to the principles of interoperability, virtualization, decentralization and production flexibility. The Fourth Industrial Revolution is driven by structural changes in the manufacturing sector, such as the demand for customized products, market volatility and sustainability goals, and the integration of artificial intelligence and Big Data. This work aims to analyze, from a bibliometric point of view of journal papers on Scopus, with no time limitation, the existing literature on the application of AI in SMEs, which are crucial elements in the industrial and economic fabric of many countries. However, the adoption of modern technologies, particularly AI, can be challenging for them, due to the intrinsic structure of this type of enterprise, despite the positive effects obtained in large organizations.https://www.mdpi.com/2673-2688/6/3/54Industry 4.0digital transformationartificial intelligencemachine learningneural networkdeep learning |
| spellingShingle | Federico Briatore Marco Tullio Mosca Roberto Nicola Mosca Mattia Braggio A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises AI Industry 4.0 digital transformation artificial intelligence machine learning neural network deep learning |
| title | A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises |
| title_full | A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises |
| title_fullStr | A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises |
| title_full_unstemmed | A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises |
| title_short | A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises |
| title_sort | bibliometric analysis on artificial intelligence in the production process of small and medium enterprises |
| topic | Industry 4.0 digital transformation artificial intelligence machine learning neural network deep learning |
| url | https://www.mdpi.com/2673-2688/6/3/54 |
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