Bibliometric Analysis and Mapping of Management Information Systems Field


ÖZKÖSE H., GENCER C.

GAZI UNIVERSITY JOURNAL OF SCIENCE, vol.30, no.4, pp.356-371, 2017 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 30 Issue: 4
  • Publication Date: 2017
  • Journal Name: GAZI UNIVERSITY JOURNAL OF SCIENCE
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Page Numbers: pp.356-371
  • Keywords: Management information systems, Bibliometric mapping, Co-occurrence analysis, Statistical analysis, Text mining, SCIENCE, CHINA
  • Gazi University Affiliated: Yes

Abstract

The main aim of this study was to widely analyze Management Information Systems (MIS) field using bibliometric mapping. For this purpose, 222 journals, indexed in Science Citation Index Expanded (SCI-E) and Social Science Citation Index (SSCI), were selected from Web of Science and Scopus. To determine a journal corpus, expert opinions were taken to interpret the field better. After taking expert opinions, 24 journals were chosen and analyses were done over these journals. Firstly, 20497 articles in English were collected in these journals from Web of Science (WoS) Core Collection during the period of 1980-2015. After text mining process, effective organizations, authors and countries were shown on graphs by statistical analysis using BibExcel. Also, annual evolution of published papers was illustrated and trend analysis of these articles was interpreted. In addition to this, most cited articles were given. After that, by using VosViewer, the most related terms in this field were obtained by co-occurrence analysis from abstracts and keywords. The terms and its clusters were illustrated on a graph. Also, density maps were utilized. The graphs and density maps were interpreted respectively in details.