Bibliometric Dataset: Evolutionary Dynamics of Artificial Intelligence in E-commerce (2015–2026)

This dataset contains the curated bibliographic metadata used for the study "Bibliometric Mapping and Technological Transfer of Intelligent Systems in E-commerce (2015–2026)". The deposit includes the following files: Dataset_AI_Ecommerce_2015_2026.csv: A cleaned and merged collection of 2,798 unique records retrieved from the Scopus database. The dataset includes metadata such as titles, authors, keywords, and citation counts. Search_Strings.txt: The comprehensive Boolean search queries used for data extraction, ensuring full transparency and reproducibility of the study. Thesaurus.txt: The keyword consolidation file used to refine the conceptual structure. This file ensures high-quality cluster analysis by grouping related terms. Synonyms.txt: A detailed mapping file used to standardize variations in terminology to prevent redundancy in the thematic maps. High-Resolution_Visualizations: Contains the high-definition strategic diagrams and thematic evolution maps (Figures 1-3) generated during the study for better clarity and detailed inspection. Methodological Note: The data covers the period from 2015 to the first quarter of 2026. The processing was conducted using R-Bibliometrix and VOSviewer to identify motor themes, emerging trends, and technological transfer paths in the global e-commerce landscape.