This study provides a bibliometric analysis of chatbot and e-commerce research from 2017 to 2024, exploring publication growth, collaboration, and research themes in this expanding area. Analysing 125 documents from Web of Science, it finds an annual growth rate of 47.93%, indicating strong academic interest. International collaboration is prominent, with 26.4% of studies involving co-authors from different countries, primarily led by researchers in China, India, and the United States, and institutions like Hainan University and Columbia University. Key research themes include “e-commerce,” “trust,” “model,” and “artificial intelligence,” pointing to a focus on user trust, AI-driven technologies, and adoption trends in digital commerce. Major journals, including the Journal of Retailing and Consumer Services and Computers in Human Behavior, have been influential in disseminating findings, supporting a cross-disciplinary approach. The study also highlights the impact of chatbots on customer engagement, personalization, and sales conversions, with emerging concerns about the psychological aspects of AI interaction, such as user trust and acceptance. For future studies, it recommends combining data from multiple sources like Scopus and WoS and using tools like VOSviewer and Biblioshiny to enhance data visualization (Anglada-Tort & Sanfilippo, 2019). This analysis offers valuable insights into the current trends and future directions of chatbots in e-commerce.
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