Demir, GülayChatterjee, PrasenjitKadry, SeifedineAbdelhadi, AbdelhakimPamu?ar, Dragan2024-10-262024-10-2620242560-6018https://doi.org/10.31181/dmame7220241137https://hdl.handle.net/20.500.12418/26563This paper explores the evolution, applications, and prospective developments of a very popular multi-criteria decision-making (MCDM) method called Measurement of Alternatives and Ranking according to COmpromise Solution Method (MARCOS). Employing an extensive bibliometric analysis, the study examines 115 pertinent papers sourced from the Scopus database spanning over the years from 2020 to 2024. This study also provides an evaluation of the methodological significance and outlines potential future directions of MARCOS method. The outcomes indicate "Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)" by Stevi? et al. (2020) as the most cited paper. Journals such as "Sustainability (Switzerland)", "Mathematics" and "Expert Systems with Applications" stand out among the most cited journals. "University of East Sarajevo" is an institution distinguished for its prolific research in this field. "Stevi? ?." Has been identified as the most cited and published author. The most frequently used keywords are "MARCOS", "MARCOS method", and "MCDM". CRiteria Importance Through Intercriteria. Correlation (CRITIC) method is a weighting model often integrated with MARCOS method. The results of the study provide researchers and practitioners in the field of MCDM with an important insight into the current state of the MARCOS methodology, highlighted studies and potential future developments. It also provides a comprehensive overview of the importance of this method in the multi-criteria decision-making literature, shedding light on future research directions. © 2024 Regional Association for Security and crisis management. All rights reserved.en10.31181/dmame7220241137info:eu-repo/semantics/closedAccessBiblioshiny; MARCOS; MCDM, Bibliometric Analysis; VOSviewerArticle723363132-s2.0-85198714405Q1