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 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.

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Publication Details

Journal
AI
Published
2025-03-12
DOI
https://doi.org/10.3390/ai6030054
Citations
4
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
4.97
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article

A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises

Federico Briatore, Marco Mosca, Roberto Mosca, Mattia Braggio
4 citations
AI
Digital Transformation in Industry
4.97
article

A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises

Federico Briatore, Marco Mosca, Roberto Mosca, Mattia Braggio
article en
4 citations

Abstract

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.

AIVol. 6(3)
University of Genoa (IT)
Openalex Percentile: Top 6%
Digital Transformation in Industry
4.97
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A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises — Federico Briatore, Marco Mosca, et al. · AI (2025) | TGRS Research Map | TGRS