Akademik Veri Yönetim Sistemi
IMISC 2024: 11th International Management Information Systems Conference, Konya, Türkiye, 24 - 26 Ekim 2024, ss.14, (Özet Bildiri)
Abstract: Decision-making in complex and risky situations is challenging. Multi - Criteria Decision Making (MCDM) methods are used to make optimal decisions among various alternatives. This study aims to conduct a bibliometric analysis of the MCDM field by examining related academic research areas and the distribution of academics across different countries working with MCDM methods. First, the profiles of the top 300 researchers with the most citations in the MCDM research field are examined on Google Scholar. The study investigates which other research areas are studied alongside MCDM and identifies the countries to which these academic publications belong. Subsequently, the collected academic field data are analyzed using the Apriori analysis in the RStudio software program. In the final stage, SSCI articles containing MCDM as a keyword are scanned through Web of Science, and the obtained data are subjected to cluster analysis using VOSviewer software. The Apriori analysis reveals that researchers working in the MCDM field also engage in other research areas such as Machine Learning, Deep Learning, and Data Science. The VOSviewer analysis indicates that MCDM techniques are strongly associated with contemporary topics such as Sustainability, Renewable Energy, and Reverse Logistics. In the regional examination, Turkey, India, and Iran rank first, second, and third, respectively, in terms of the number of academic publications.