Conversational AI Chatbots in library research: An integrative review and future research agenda

Journal of Librarianship and Information Science, Ahead of Print.
The growing role of conversational AI Chatbots continues to change the library and information service landscape. Chatbots are replacing some of the library services that humans conventionally perform. In the era of instant evolution of artificial intelligence (AI), the role of Chatbots in libraries keeps expanding and acquiring more experience. This paper aims to examine the extant research on library Chatbots using an integrative literature review (ILR) approach. Empirical and non-empirical papers from the Scopus database to ascertain what is already known about the topic. Forty papers (articles and conference papers) were scrutinized for further analysis. The leading emergent themes in the literature were (1) The evolution of Chatbots technology in libraries, (2) Antecedents for Chatbot use in libraries, (3) User experience with Chatbot use in libraries, (4) Chatbot use in libraries amidst COVID-19, and (5) Challenges facing Chatbot use in libraries. Research on Chatbots in library services is still embryonic and has only begun to flourish. Nevertheless, there is still a significant research gap despite its surging curve. The findings of this integrative review contribute to the body of knowledge on the nexus between artificial intelligence and library operations. It also furnishes academics and practitioners with six potential directions for future research opportunities.

A scientometric analysis of digital library adoption over the past 30 years: Models, trends, and research directions

Journal of Librarianship and Information Science, Ahead of Print.
This paper discusses the present state of the art and forthcoming directions of digital library adoption (DLA) research over the past 30 years. By means of scientometric analysis, we synthesize 216 articles and conference papers published between 1992 and 2022 using visualization maps of prolific contributions, co-citation, co-occurrence, and thematic networks. The analysis reveals important findings concerning research evolution, models and theories, intellectual foundations, emerging streams, frontiers, and hotspots that inform DLA decisions. Moreover, the paper highlights future DLA research opportunities through addressing scarcely observed areas in the field. To the best of our knowledge, this is the first attempt that comprehensively oversees the breadth and depth of the DLA research over a long-time span.

A scientometric analysis of digital library adoption over the past 30 years: Models, trends, and research directions

Journal of Librarianship and Information Science, Ahead of Print.
This paper discusses the present state of the art and forthcoming directions of digital library adoption (DLA) research over the past 30 years. By means of scientometric analysis, we synthesize 216 articles and conference papers published between 1992 and 2022 using visualization maps of prolific contributions, co-citation, co-occurrence, and thematic networks. The analysis reveals important findings concerning research evolution, models and theories, intellectual foundations, emerging streams, frontiers, and hotspots that inform DLA decisions. Moreover, the paper highlights future DLA research opportunities through addressing scarcely observed areas in the field. To the best of our knowledge, this is the first attempt that comprehensively oversees the breadth and depth of the DLA research over a long-time span.