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Academic Digital Library is a web-based system that provides access to various academic information and services. This article aims to investigate UiTM Digital Library's efficiency in meeting post-graduate students' needs by correlating their satisfaction with the following predictors: technological and individual factors, digital library engagement, and perceived benefits. The questionnaire was developed based on the instruments used by previous researchers. An online questionnaire was distributed to UiTM Selangor post-graduates, obtaining a sample of 341 respondents. The results of this study indicate that postgraduate students were aware of digital reference services offered by an academic library. The finding also revealed the level of usage and satisfaction regarding digital reference services. The result of this study will enable library management to recognize the usage of digital reference services among students. The findings will help address libraries and encourage students to use digital reference services to seek information effectively and efficiently. [ABSTRACT FROM AUTHOR]

Taxonomy is a classification system that helps researchers conceptualize phenomena based on their dimensions and characteristics. It is an integral process involving a high complexity in understanding a subject classification. This paper aims to represent an update for the taxonomy development of Sports Science and recreational; it contributes to the prescriptive knowledge of taxonomy design and seeks to augment both rigorous taxonomies building and evaluation, including a comprehensive analysis of the expert-assigned keywords with a comparison to Library of Congress Subject Headings. This study employs comparative subject analysis as the methodology for comparing expert-assigned keywords with LCSH. The analysis will identify the similarities and differences in the classification of the taxonomy used in the UiTM Local Content Hub. The subjects used in Sports Science & Recreational Digital Collection in PTAR Local Content Hub are very minimal compared to the structured classification of subjects in the classification web. [ABSTRACT FROM AUTHOR]