Artificial intelligence in industrial operations management: a bibliometric analysis

Considering the exponential growth of research on Artificial Intelligence (AI) in industrial operations management, this study aims to map the scientific landscape through a bibliometric analysis. The research employed data from the Web of Science, focusing on key terms such as "AI," "industrial operations," and "management." Using VOSviewer, co-occurrence networks and citation analyses were generated to identify research trends and gaps. The results reveal significant contributions from countries like the United States and China, emphasizing AI's role in enhancing efficiency and innovation in industries. The findings provide a foundation for future research and practical implementation strategies in industrial operations.

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Publication Details

Journal
Revista de Gestão e Secretariado (Management and Administrative Professional Review)
Published
2024-10-07
DOI
https://doi.org/10.7769/gesec.v15i10.4210
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence in industrial operations management: a bibliometric analysis

Inaray de Sousa Passos, Reimison Moreira Fernandes, Américo Chalupa Ramos Pinto, Tamires Gabriela Silva Goveia et al.
1 links
Revista de Gestão e Secretariado (Management and Administrative Professional Review)
Big Data and Business Intelligence
article

Artificial intelligence in industrial operations management: a bibliometric analysis

Inaray de Sousa Passos, Reimison Moreira Fernandes, Américo Chalupa Ramos Pinto, Tamires Gabriela Silva Goveia, Camila Soares Alves, Érica Vitória Almeida Nunes, A. Costa
article en

Abstract

Considering the exponential growth of research on Artificial Intelligence (AI) in industrial operations management, this study aims to map the scientific landscape through a bibliometric analysis. The research employed data from the Web of Science, focusing on key terms such as "AI," "industrial operations," and "management." Using VOSviewer, co-occurrence networks and citation analyses were generated to identify research trends and gaps. The results reveal significant contributions from countries like the United States and China, emphasizing AI's role in enhancing efficiency and innovation in industries. The findings provide a foundation for future research and practical implementation strategies in industrial operations.

Revista de Gestão e Secretariado (Management and Administrative Professional Review)Vol. 15(10)
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
Big Data and Business Intelligence
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