Integration of artificial intelligence (AI) technologies into academic library services: user opinions in Türkiye
Purpose This study aims to examine the views, expectations and concerns of academic library users in Türkiye towards AI-enabled services. Design/methodology/approach The research was conducted using the survey model. The study included 1,142 academic library users selected through a stratified random sampling method from seven geographical regions of Türkiye. A questionnaire developed by the researchers consisting of three sections was used as a data collection tool: Demographic information, current library services usage and satisfaction, opinions and expectations for AI-supported library services. Findings The findings indicate that users are generally satisfied with the current library services but have difficulties in accessing electronic resources (75.04%), using databases (73.12%) and finding resources (68.48%). Most respondents (69.7%) have a positive view of artificial intelligence (AI) assisted library services and are most interested in the virtual library assistant (88.27%), advanced natural language processing search engine (86.08%) and intelligent resource recommendation system (85.64%). However, users are concerned about the privacy and security of personal data (73.73%), becoming dependent on technology (46.58%) and reduced human interaction (44.31%). The study shows that academic libraries in Türkiye can significantly improve the user experience by integrating AI technologies. Originality/value This is one of the pioneering studies that comprehensively analyzes user perceptions of AI-enabled services in academic libraries in a developing country context. The findings provide library managers, policy makers and researchers worldwide with valuable insights into the potential benefits and challenges of integrating AI technologies in academic libraries.
Institutions
- Bridge University (SS)
Publication Details
- Journal
- Reference Services Review
- Published
- 2025-09-27
- DOI
- https://doi.org/10.1108/rsr-09-2024-0054
- Primary Topic
- Malaria Research and Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00