Earticle

초록

영어

This bibliometric study is a citation analysis of journals that concern themselves with businessrelated topics. For this purpose, the journals from the following five categories from the Web of Science Subject Categories have been examined: “Business”, “Business & Finance”, “Economics”, “Management” and “Operations Research & Management Science”. The data is retrieved from the Journal Citation Reports 2019 for each journal that is part of one of the categories. The data includes information about the journals that the articles published in the specific journal in 2019 cited and which journals cited the articles in a specific journal (Cited Journal Data and Citing Journal Data). This data is combined by creating an asymmetrical 1- mode matrix of all journals. Then, the matrix is analyzed with Pajek and VOSviewer to create clusters of journals with a high inter-correlation through citations. In the following step, the journals in these clusters are analyzed for their disciplines, main topics, and compared to typical fields of study at universities (e.g. Accounting, Marketing, Finance, etc.) in order to highlight similarities and differences between the fields of studies and the clusters of journals.

키워드

저자

• Fridolin Neuhuber [ University of Graz, Austria ]
• DongBack Seo [ Dept. of Management Information Systems, Chungbuk National Univeristy ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국경영정보학회 정기 학술대회 [KMIS Conference]

• 간기

  반년간

• 수록기간

  1990~2026

• 십진분류

  KDC 325 DDC 658