Librarians' Acceptance of ChatGPT Generative AI: A Systematic Literature Review
Lyka Isabelle P. Casidsid | Peacebell Joy Anne P. Pama
Discipline: library and information science
Abstract:
Purpose. This study examines the factors influencing librarians’ acceptance of ChatGPT Generative AI, as identified in existing LIS literature.
Design/ Methodology / Approach. A systematic literature review was conducted using Scopus and Google Scholar. This study follows a systematic guide to literature review development. PICOC criteria were used to formulate the research question, and the systematic search process for articles followed the PRISMA approach.
Findings. The SLR provided insights into the factors influencing librarians’ acceptance of ChatGPT Generative AI in library services and how the factors differ across various countries or library contexts, and what gaps or contradictions are evident in the existing literature. After a thorough review of the selected literature, 14 articles, eight from Scopus and six from Google Scholar have shown that there are several factors that influenced librarians' acceptance of ChatGPT generative AI. Factors including: performance expectancy, effort expectancy, social influence, facilitating conditions, and anxiety. Findings also reveal that ChatGPT’s acceptance is not uniform across various countries and LIS contexts.
Originality/ Value. The study attempts to identify the factors that influence librarians’ acceptance of ChatGPT Generative AI, as determined in existing LIS literature using key themes: performance expectancy, effort expectancy, social influence, facilitating conditions, and anxiety.
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