Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Twenty-Five Years of the Journal of Global Information Technology Management: A Bibliometric Analysis
Journal of Global Information Technology Management ( IF 3.444 ) Pub Date : 2023-08-20 , DOI: 10.1080/1097198x.2023.2235229
Bhawana Rathore 1 , Baidyanath Biswas 2 , Rohit Gupta 3 , Prashant Palvia 4
Affiliation  

ABSTRACT

The Journal of Global Information Technology Management (JGITM) is an established and globally reputed journal in the Information Technology area, focusing on publishing international IS research. It is international in all respects: content, authors’ origin, readers’ origin, and the editorial board. The journal was established in January 1998 and completed 25 years of publication in 2022. In celebration, this study presents a comprehensive and historical overview of the leading trends of the journal since its inception. The bibliographic data was retrieved from the Scopus database and analyzed with the help of the R software. This analysis considers indicators such as the most cited articles, productive authors, influential authors, leading institutes, top countries publishing in JGITM, co-citation networks, and keyword analysis. The study also develops a graphical visualization of the networks of bibliographic data. This graphical visual helps to analyze co-citation and bibliographic coupling among the published research studies. Our results indicate a continuous and substantial increase in the quality of publications, impact factor, and a growing interest in publishing articles in the journal by a broader community of academicians and scholars. We hope this information will be of significant value to JGITM’s audience: the readers and past and future authors.



中文翻译:

全球信息技术管理杂志二十五年:文献计量分析

摘要

全球信息技术管理杂志》JGITM)是信息技术领域的一本知名且全球知名的期刊,专注于发表国际信息技术研究。它在各个方面都是国际化的:内容、作者来源、读者来源和编辑委员会。该期刊于 1998 年 1 月创刊,并于 2022 年完成了 25 周年的出版。为了庆祝,这项研究对该期刊自创刊以来的主要趋势进行了全面的历史概述。从 Scopus 数据库检索书目数据并借助 R 软件进行分析。该分析考虑了诸如被引用次数最多的文章多产的作者等指标,有影响力的作者领先的机构在 JGITM 上发表文章的顶级国家同被引网络关键词分析。该研究还开发了书目数据网络的图形可视化。这种图形视觉有助于分析已发表的研究之间的共引和书目耦合。我们的结果表明,出版物的质量、影响因子持续大幅提高,并且更广泛的院士和学者群体对在期刊上发表文章的兴趣日益浓厚。我们希望这些信息对JGITM 的受众:读者以及过去和未来的作者具有重要价值。

更新日期:2023-08-20
down
wechat
bug