Preparing for the future: Cataloguing and classification in the age of artificial intelligence among librarians in Eswatini

Résumé fourni par la source

This study examines librarians’ readiness to adopt artificial intelligence (AI) for cataloging and classification in libraries in Eswatini. As AI-driven tools increasingly reshape bibliographic control through automated metadata generation, subject analysis, and classification support, their effective integration depends not only on technological availability but also on professional and institutional preparedness. A quantitative descriptive survey design was employed, targeting librarians registered with the Eswatini Library Association. Data were collected using a structured questionnaire. The findings indicate that librarians demonstrate moderate awareness of AI and strong recognition of its potential to enhance efficiency, reduce repetitive tasks, and improve metadata consistency. However, awareness is lower for more specialized applications, such as automated classification systems and AI-supported subject analysis. While respondents reported moderate to high personal willingness to adopt AI, institutional readiness remains low. Key barriers include limited technical skills, inadequate training opportunities, insufficient technological infrastructure, financial constraints, and the absence of formal policies or governance frameworks to guide AI use in cataloging and classification. The study identifies an awareness – implementation gap, where positive perceptions of AI are not matched by organizational preparedness. It recommends targeted professional training, investment in technical infrastructure, and the development of clear institutional policies aligned with international cataloging and classification standards.