شناسايي و اولويت‌بندي فرصت‌ها و چالش‌هاي هوش مصنوعي در ارائه خدمات كتابخانه‌هاي عمومي كشور

Identifying an‎d prioritizing the opportunities an‎d challenges of artificial intelligence in providing services in Iranian public libraries

علم اطلاعات و دانش شناسي

The present study was conducted with the aim of identifying an‎d prioritizing the opportunities an‎d challenges of artificial intelligence in the delivery of services in public libraries. In terms of purpose, this research is applied, an‎d in terms of approach, it is a mixed-methods (qualitative-quantitative) exploratory study. In the qualitative phase, the research synthesis method an‎d systematic review were used, an‎d in the quantitative phase, the fuzzy Delphi method was employed. The research population in the qualitative phase consisted of articles published between 2015 an‎d 2025 related to the field of artificial intelligence an‎d public libraries, an‎d in the quantitative phase, it consisted of experts in these fields. The sampling method in both the qualitative an‎d quantitative parts was purposive. Ultimately, by applying the inclusion an‎d exclusion criteria, 51 relevant articles (10 Persian articles an‎d 41 English articles) published between 2015 an‎d 2025 were selec‎ted an‎d identified. The data collection tools were checklists an‎d note-taking. The data analysis method was thematic analysis using an open coding approach, an‎d Cohenʹs Kappa coefficient was used to determine reliability an‎d inter-coder agreement. The findings indicated the identification of 24 opportunities, categorized into four main themes: "Transformation of Services an‎d Enhancement of Public an‎d Reference Service Quality," "Optimization of Technical Services an‎d Resource Processing," "Management Improvement an‎d Cost Reduction," an‎d "Digital an‎d Information Technology Services." Furthermore, 15 challenges were identified an‎d grouped into five main categories: "Technical an‎d Infrastructural Challenges," "Human Resources an‎d Skill-Related Challenges," "Ethical, Legal, an‎d Security Challenges," "Financial an‎d Economic Challenges," an‎d "Cultural, Organizational, an‎d Managerial Challenges." Based on the Delphi results, the most significant opportunities from the perspective of Iranian experts included: "Analysis of user behavior an‎d information data," which presents an opportunity for intelligent collection management, predicting information needs, increasing the accuracy of resource acquisition, an‎d reducing unnecessary costs; "Designing resource recommendation systems," which provides an opportunity to personalize the reading experience based on user interests an‎d behavior; an‎d "Implementing intelligent feedback systems," which offers an opportunity for continuous assessment of user satisfaction an‎d improving library services based on actual user needs. The most critical challenges identified were: "Lack of macro-level strategy an‎d roadmap," "Insufficient budget allocation," an‎d "Weak IT infrastructure." Artificial intelligence holds significant potential for transforming an‎d qualitatively enhancing the services of public libraries in Iran, potentially leading to increased efficiency, improved user experience, an‎d the development of innovative services. However, successful implementation requires simultaneously addressing the identified challenges, particularly in the areas of infrastructure, human resources, an‎d funding. Formulating a comprehensive strategy, investing in the training an‎d empowerment of public librarians, an‎d developing pilot projects were among the practical recommendations of this research

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