The evolution of chatbots in libraries over the past decade through bibliometric analysis

Abstrak

Introduction. This study examines the development of chatbot implementation in libraries over the past decade (2014–2025) using a bibliometric approach. Research Methods. Bibliographic data was retrieved from the Scopus database using the keywords chatbot and library. Data Analysis. The analysis was conducted using Scopus analytics and VOSviewer to map publication trends, sources, authors, countries, document types, subject areas, and keyword relationships, supported by chronological interpretation. Results. The results show a significant increase in research on library chatbots, with rapid growth occurring in the last four years following advances in artificial intelligence and large language models such as ChatGPT. Library Hi Tech News is the most consistent publication outlet, while India is the most productive country. Adeleke University and JAIN Deemed-to-be University were the leading institutions, and Adetayo, A.J. and De Sarkar, T. were the most productive authors. Conference papers dominate publication types, and the major subject areas include computer science, engineering, and social sciences. Keyword analysis highlights strong links to artificial intelligence, human interaction, and natural language processing. Conclusion. This study contributes a dedicated bibliometric mapping and a three-phase evolutionary model of chatbot development in libraries. However, the reliance on Scopus and bibliometric indicators may limit insights into qualitative user experience and implementation outcomes.

Kata kunci

Subjek

academic libraries · Artificial Intelligence · Bibliometrics · Chatbot · Developing Countries · Library Services