Research Information System
in: Muhasebe ve Finansta Güncel Yaklaşımlar, Ozan Gönüllü, Editor, Gazi Kitabevi, Ankara, pp.45-61, 2025
Financial decision-making processes in analysing performance are becoming increasingly complex due to the number of conflicting criteria that need to be considered. The main aim of this paper is to perform a bibliometric analysis of the international research on the application of multi-criteria decision-making (MCDM) techniques to financial performance evaluation during the period 1998-2025. A total of 128 publications from the Web of Science database have been compiled, classified, and analysed. The results obtained reveal that the highest concentration is in 2022 (20 works) and 2025 (17 works); the most prolific authors are Yu-Jie Wang, Mahmut Baydas, Yunus Tansel İç, Dragan Pamucar; journal articles account for the largest share (117), and it is followed by, early access (7), book chapters (5), one review article; in terms of disciplines, business economics (54), computer science (30), operation research management science (25) are the leaders; the leading country in publication output is Turkey (30), Turkiye (22) and India (17); publications are mainly in English (122) and Turkish (6); most publications are indexed in SCI (59), SSCI (45), ESCI (40). The most frequent author keywords are “financial performance” (31 occurrences), “multi-criteria decision making” (21), “TOPSIS” (21), and “performance evaluation” (19). The
prominence of TOPSIS among the top keywords indicates that it is the most widely used MCDM method in this literature. Furthermore, keyword frequency results indicate that the most frequent author keywords are “financial
performance” (31 occurrences), “multi-criteria decision making” (21), “TOPSIS” (21), and “performance evaluation” (19). The prominence of the technique for order preference by similarity to ideal solution (TOPSIS), among the top keywords, indicates that it is one of the most widely used MCDM methods in this literature.