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 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 English articles 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.
Management information systems bibliometric mapping co-occurence analysis statistical analysis text mining
Bölüm | Industrial Engineering |
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Yazarlar | |
Yayımlanma Tarihi | 11 Aralık 2017 |
Yayımlandığı Sayı | Yıl 2017 Cilt: 30 Sayı: 4 |