Service Quality Assessment in Library Systems
Summary
Service quality assessment in library systems encompasses the systematic evaluation of how effectively libraries meet user needs and expectations. Traditionally rooted in service marketing and management theories, this field has embraced both quantitative and qualitative methods to capture dimensions such as tangibility, reliability, responsiveness, assurance and empathy. Tools such as the SERVQUAL and LibQUAL frameworks facilitate the identification of performance gaps by juxtaposing user expectations against perceptions of service delivery. Modern approaches increasingly integrate psychometric validation and advanced statistical modelling to refine measurement scales and ensure cross-cultural applicability. Parallel attention has been paid to emerging data sources, including digital feedback platforms and mobile applications, enabling librarians to harness real-time user insight and geospatial analysis. These developments support evidence-based decision-making for resource allocation, staff training and the enhancement of physical and virtual service points. Globally, robust assessment practices inform strategic planning, foster user engagement and underpin initiatives to bridge the digital divide, thereby reinforcing the role of libraries as inclusive centres of learning and innovation.
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Service Quality Assessment in Library Systems publication trend
The graph below shows the total number of articles in service quality assessment in library systems across all publications each year (not limited to Nature Index journals).
Technical terms
SERVQUAL: A multi-dimensional framework measuring service quality through five key dimensions by comparing expectations with perceptions.
LibQUAL: A specialised survey instrument adapted from SERVQUAL to assess library service quality, focusing on affect of service, information control and library as place.
Structural Equation Modelling (SEM): A statistical technique used to test and estimate relationships among observed and latent variables, often employed in validating psychometric scales.
References
- Development and validation of a modified LibQUAL scale in health sciences libraries: application of Structural Equation Modeling. Journal of the Medical Library Association (2023).
- Evaluating Library Service Quality of College Libraries: The Perspective of a Developing Country. Sustainability (2021).
- Evaluating Public Library Services in Taiwan through User-Generated Content: Analyzing Google Maps Reviews. Electronics (2024).
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