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.
Authors
- Inaray de Sousa Passos
- Reimison Moreira Fernandes (ORCID: https://orcid.org/0000-0001-7526-0438)
- Américo Chalupa Ramos Pinto (ORCID: https://orcid.org/0009-0001-4574-6928)
- Tamires Gabriela Silva Goveia
- Camila Soares Alves
- Érica Vitória Almeida Nunes (ORCID: https://orcid.org/0009-0004-5661-3866)
- A. Costa
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