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A bibliometric analysis of library automation software research from 2001-2022: evidence from the Web of Science (WoS)

Muhammad Naveed (Department of Library and Information Science, Minhaj University Lahore, Lahore, Pakistan)
Nusrat Ali (Department of Library, Government College Women University Sialkot, Sialkot, Pakistan)
Shakeel Ahmad Khan (Department of Information Management, The Islamia University of Bahawalpur, Bahawalpur, Pakistan)
Khurram Shahzad (Department of Library, Government College University Lahore, Lahore, Pakistan)

Global Knowledge, Memory and Communication

ISSN: 2514-9342

Article publication date: 30 August 2023

126

Abstract

Purpose

The purpose of this study is to conduct a bibliometric analysis to discover the published information on the subject of “Library Automation Software.”

Design/methodology/approach

This study is based on bibliometric research to analyze the growth of literature on the subject area “Library Automation Software.” The data were retrieved from the leading database Web of Science to analyze the scholarly publications on the topic during 2001–2022. To analyze the bibliometric data on the subject, the VOSviewer, Biblioshiny and MS Excel software were used.

Findings

Results manifest that the topic of “Library Management Systems” has been greatly used by several authors as a title to publish their research work. The USA emerged as the most productive country. The most used keywords to retrieve literature on the topic were “Library Automation,” “Library Management Systems,” “KOHA,” “Integrated Library Systems” and “Open Source Software.”

Originality/value

To the best of the authors’ knowledge, this is the first bibliometric study in Pakistan that has been conducted to measure the productivity of literature at the international level on library automation.

Keywords

Acknowledgements

Funding: The authors have not received any financial assistance for the publishing of this research paper.

Declaration of conflicting interests: The authors of this study do not have any personal conflicts of interest with the publishing of this piece.

Citation

Naveed, M., Ali, N., Khan, S.A. and Shahzad, K. (2023), "A bibliometric analysis of library automation software research from 2001-2022: evidence from the Web of Science (WoS)", Global Knowledge, Memory and Communication, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/GKMC-06-2023-0194

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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