Date of this Version

7-2026

Document Type

Article

Citation

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Abstract

The exponential growth of Artificial Intelligence (AI) technology has radically changed the information landscape, making it essential to explore how library professionals perceive and utilize these new tools. This study examines attitudes of library professionals toward AI and AI-based tools through the lens of the Unified Theory of Acceptance and Use of Technology (UTAUT). A structured questionnaire survey was conducted amongst 165 library professionals from academic, public and special libraries spread across India. The study applies Structural Equation modeling (SEM) with the use of AMOS 26.0 to analyze the relationships among UTAUT constructs such as Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC), and their impacts on Behavioral Intention (BI) and actual Usage Behavior (UB). The findings show that all the four UTAUT categories are significant predictors of behavioral intention with Performance Expectancy being the greatest predictor (β = 0.421, p < 0.001). The model has a decent fit (χ²/df = 1.87; CFI = 0.963; RMSEA = 0.047) and explains the 68.3% of the variation of behavioral intention. Findings suggest that library workers retain somewhat positive views about AI tools, but worries around skills, infrastructure and data privacy remain. The paper provides practical recommendations for library administrators, politicians, and technology suppliers to promote effective AI use in libraries.

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