Track: Artificial Intelligence

Abstract

The purpose of this study is to consolidate studies on artificial intelligence (AI) in e-commerce. Using bibliometric mapping, this study attempts to comprehensively analyze research trends in Artificial Intelligence in E-Commerce and future research prospects in the area. We visualized Artificial Intelligence in E-Commerce research published in the previous 10 years, from 2012 to 2021, using bibliometric analytic methodologies. For our analysis, 646 publications from Scopus were chosen. This study pulls data from the Scopus database, analyzes it using the Scopus online analysis function, then visualizes it using Vosviewer. The process is divided into five stages: keyword selection, first search results, search result refining, initial compilation, and data analysis. According to our major line of study, papers published by Chinese scholars have the most publications, with a total of 209 scientific publications. The field of study “Computer Science” has the most documents, with N=497 (42.3%). The number of publications increased from 2012 to the greatest in 2021, with 163 papers. The analyzed data reveals patterns and trends in worldwide Scopus-indexed articles. The analyzed data reveals patterns and trends in worldwide Scopus-indexed articles. This study suggests integrating three research topics: AIUT (Artificial Intelligence, User, and Technique). This provides scholars with suggestions for the next steps in this study field. It offers practitioners with an organized collection of knowledge on how AI might help them with their e-commerce endeavors.