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Assessing the Impact of Library Website Quality on User Satisfaction: A Structural Equation Modeling Approach at the University of Ruhuna Cover

Assessing the Impact of Library Website Quality on User Satisfaction: A Structural Equation Modeling Approach at the University of Ruhuna

Open Access
|Nov 2025

Abstract

Academic libraries are essential in the modern technology environment as they provide a wide range of information and facilities through their websites, contributing to the achievement of educational goals. The quality of these dig-ital platforms is growing in importance as they influence users’ experiences and academic performance. This study aims to identify the factors that are connected with library website quality and develop a model that evaluates the effect of the quality of the library website (QoW) on user satisfaction for academic achievement (AA) by comparing service quality within the library (QoLP) and non-library website quality (QoNLW) at the University of Ruhuna using Structural Equation Modeling (SEM). For this purpose, a survey was carried out among 591 undergraduates at University of Ruhuna through a structured questionnaire. This study revealed that information quality (QoI), usability quality (QoU), and service interaction quality (QoSI) are the three main factors influencing library website quality throughout factor analysis. The SEM model showed that the library website quality explained 79.9% of the variation in user satisfaction. The study found that QoSI, QoU, QoI significantly impacted user satisfaction. Subsequently, QoW and QoLP significantly influenced academic achievement, while QoNLW had a strong impact. These results can serve as a valuable reference for university library administrators to improve the services provided on the library website and ensure students’ academic achievements by helping them develop and utilize necessary skills.

Language: English
Page range: 13 - 31
Published on: Nov 27, 2025
Published by: The Institute of Applied Statistics, Sri Lanka
In partnership with: Paradigm Publishing Services

© 2025 K. K. S. N. Britto, L. A. L. W. Jayasekara, published by The Institute of Applied Statistics, Sri Lanka
This work is licensed under the Creative Commons Attribution 4.0 License.