Management Information Systems Research: A Topic Modeling Based Bibliometric Analysis

Ozkose H., ÖZYURT Ö., AYAZ A.

JOURNAL OF COMPUTER INFORMATION SYSTEMS, vol.63, no.5, pp.1166-1182, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 63 Issue: 5
  • Publication Date: 2023
  • Doi Number: 10.1080/08874417.2022.2132429
  • Journal Name: JOURNAL OF COMPUTER INFORMATION SYSTEMS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Compendex, Computer & Applied Sciences, INSPEC
  • Page Numbers: pp.1166-1182
  • Keywords: Management information systems, topic modeling, bibliometric analysis, research trends, COVID-19, POINTS, WORK, MIS
  • Karadeniz Technical University Affiliated: Yes

Abstract

Management information systems (MIS) have an interdisciplinary structure. Naturally, it develops and changes with the influence of other fields. This study tries to analyze MIS through academic studies on this topic. In this context, the analysis included 25304 articles published in the Scopus database from 2016 to 2021. Then, the performance analysis, part of bibliometric analysis, was used to measure the research productivity and impact of authors, institutions, countries, and journals. This way, the field's most influential authors, institutions, countries, and journals were determined. Afterward, the articles were gathered under 15 categories with topic modeling. These categories were examined on an annual basis, and more detailed results were tried to be revealed. This study both revealed the primary lines of the MIS field and ended up being a guide for researchers about the topics they can focus on in the future.