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Research Article Open access CC BY 4.0

Information Retrieval Satisfaction of Library Users at Global Level: A Bibliometric Analysis

Md. Abu Nayem Mia, Al Farazi Maruf, Razia Sultana Parul, Purnima Banik, Md. Ashikuzzaman, Md. Armanul Haque

Asian Journal of Education and Social Studies · pp. 63–81 · Published 5 Dec 2024

10.9734/ajess/2024/v50i121676

Abstract

Information Retrieval (IR) satisfaction plays a crucial role in shaping user experiences in library systems. This study provides a comprehensive bibliometric analysis of research trends and developments in IR satisfaction from 1968 to 2024, highlighting key themes and contributions in the field. Methods: A comprehensive review of 155 publications from the Scopus database was conducted, using bibliometric tools to analyze publication trends, keyword frequency, author contributions, and thematic mapping. Findings: The study reveals a steady increase in publications from 1968 to 1994, followed by a decline after 2008 and a rise in 2019. The USA and China dominate the field, with minimal collaboration beyond these countries. The primary focus of research is on "information retrieval" and "user satisfaction." New topics include "database systems" and "websites." Originality: This research provides valuable insights into the evolving nature of IR satisfaction, highlighting gaps in global collaboration and the need for further exploration. The study's reliance on Scopus and keyword analysis limits its scope, excluding other databases and emerging trends. Future research should include diverse databases, explore emerging technologies, and examine long-term impacts on user satisfaction across different regions. Academic Value: The knowledge of user satisfaction with library information retrieval is improved by this study. In addition to directing future research in bibliometric trends and providing insightful information for library workers to maximize services in the digital era, it promotes evidence-based enhancements in user-centric information systems.

Bibliometric analysis information retrieval user satisfaction library user

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