Muhammad Naveed, Nusrat Ali, S. A. Khan, Khurram Shahzad
{"title":"2001-2022年图书馆自动化软件研究的文献计量学分析:来自Web of Science (WoS)的证据","authors":"Muhammad Naveed, Nusrat Ali, S. A. Khan, Khurram Shahzad","doi":"10.1108/gkmc-06-2023-0194","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe purpose of this study is to conduct a bibliometric analysis to discover the published information on the subject of “Library Automation Software.”\n\n\nDesign/methodology/approach\nThis 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.\n\n\nFindings\nResults 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.”\n\n\nOriginality/value\nTo 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.\n","PeriodicalId":43718,"journal":{"name":"Global Knowledge Memory and Communication","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A bibliometric analysis of library automation software research from 2001-2022: evidence from the Web of Science (WoS)\",\"authors\":\"Muhammad Naveed, Nusrat Ali, S. A. Khan, Khurram Shahzad\",\"doi\":\"10.1108/gkmc-06-2023-0194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThe purpose of this study is to conduct a bibliometric analysis to discover the published information on the subject of “Library Automation Software.”\\n\\n\\nDesign/methodology/approach\\nThis 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.\\n\\n\\nFindings\\nResults 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.”\\n\\n\\nOriginality/value\\nTo 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.\\n\",\"PeriodicalId\":43718,\"journal\":{\"name\":\"Global Knowledge Memory and Communication\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Knowledge Memory and Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/gkmc-06-2023-0194\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Knowledge Memory and Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/gkmc-06-2023-0194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
摘要
目的本研究的目的是进行文献计量分析,以发现“图书馆自动化软件”这一主题的出版资料。设计/方法/方法本研究基于文献计量学研究来分析“图书馆自动化软件”主题领域的文献增长。这些数据是从领先的数据库Web of Science检索的,用于分析2001-2022年期间有关该主题的学术出版物。采用VOSviewer、Biblioshiny和MS Excel软件对该课题的文献计量资料进行分析。研究结果表明,“图书馆管理系统”这一主题已被许多作者用作发表其研究工作的标题。美国成为了生产力最高的国家。检索相关文献时使用最多的关键词是“图书馆自动化”、“图书馆管理系统”、“KOHA”、“综合图书馆系统”和“开源软件”。原创性/价值据作者所知,这是巴基斯坦第一个在国际图书馆自动化水平上衡量文献生产力的文献计量学研究。
A bibliometric analysis of library automation software research from 2001-2022: evidence from the Web of Science (WoS)
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.