Evaluating the satisfaction of library website usage using Fuzzy Analytic Network Process (FANP)

The quality of a library website strongly influences undergraduate students’ satisfaction, yet limited studies have applied advanced methods such as FANP to evaluate this experience. This study objectives are to identify factors influencing satisfaction, to apply FANP to assess satisfaction levels, and to rank the influencing factors toward website quality. Three main criteria which are information quality, system quality, and service quality, and twelve sub-criteria were examined. Results show that information quality ranks first, followed by system quality and service quality. Among sub-criteria, usability ranks highest, followed by responsiveness, privacy, and soundness. These findings provide clearer insights to improve library website design and performance, while also supporting the Sustainable Development Goals (SDGs) by enhancing Quality Education (SDG 4), driving Innovation and Infrastructure (SDG 9), and promoting Reduced Inequalities (SDG 10) through inclusive and equitable access to digital knowledge.