A Bibliometric Review of Analyzing the Intellectual Structure of the Knowledge Based on AI Chatbot Application from 2005–2022

• Published in: Journal of information systems engineering & management Vol. 8; no. 1; p. 25843
• Main Authors: Xia, Zongwen, Li, Ningqin, Xu, Xinrui
• Format: Journal Article
• Language: English
• Published: 31.01.2023
• ISSN: 2468-4376; 2468-4376
• DOI: 10.55267/iadt.07.14428

This research approaches the problem of artificial intelligence chatbot applications from a new perspective. With the development of innovation, many firms are using artificial intelligence chatbots to manage their business and build relationships with their customers. Thus, this study aims to offer bibliometric assessments of the expanding literature about AI chatbot services. We used the VOS Viewer software to analyze the data based on Scopus from 2005 to 2022. We extracted and examined the data from several AI chatbot service bibliometric reviews. Given the data, we form 571 peer-reviewed papers from the journal. After analyzing the data, the researchers found the most influential work, authors, and co-cited authors on AI chatbots. Similarly, the researchers, based on the author’s co-citation analysis and the intellectual structure, distinguish between “computer science”, “chatbot service”, and “digital health”. Computer science is the most critical discipline regarding AI applications.