Abstract

YARANGA VITE, Italo Paul  and  OLORTIGA CONDOR, Lucio Wilfredo. Integration of artificial intelligence with big data for decision making in companies: a bibliometric study. Revista InveCom [online]. 2025, vol.5, n.4, e504047.  Epub June 19, 2025. ISSN 2739-0063.  https://doi.org/10.5281/zenodo.14783686.

The objective of this research was to carry out an analysis of the bibliometric network in Scopus regarding the integration of artificial intelligence with big data for business decision-making, from 2014 to 2024. To do this, quantitative techniques and a bibliometric method were used. From the Scopus database, 126 documents were selected. It was identified that, between 2020 and 2024, the global volume of published data increased by 53.8 %. According to the data, scientific production in the United States increased at a faster rate (34.2%) compared to In addition, the scientific production of the United States presented the highest growth (34.2%) compared to other countries. Likewise, the most cited author was Kumar, A., with 205 citations, and the source with the highest number of publications was the Journal of Industrial Engineering and Engineering Management, with 11 articles. The findings show a significant advance in research on artificial intelligence and big data in the business field, reflected in thematic diversification, institutional support and collaboration between authors. It is concluded that this bibliometric study provides a basis for future research, highlighting the importance of delving into data processing and analytics systems, as well as the technological resources necessary to develop solutions that optimize business decision-making.

Keywords : artificial intelligence; decision making; bibliometrics.

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