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  • Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi
  • Cilt: 21 Sayı: 2
  • Analysis of Companies' Intellectual Capital Performance Using the MEREC-Based MARCOS Method: The Cas...

Analysis of Companies' Intellectual Capital Performance Using the MEREC-Based MARCOS Method: The Case of the BIST Forest, Paper and Printing Index

Authors : Nadir Ersen, İlker Akyüz, Kadri Cemil Akyüz
Pages : 205-222
Doi:10.58816/duzceod.1763131
View : 52 | Download : 110
Publication Date : 2025-12-30
Article Type : Research Paper
Abstract :This study aims to measure and comparatively rank the intellectual capital performance of companies in the BIST Forest, Paper, and Printing Index by developing the MEREC–MARCOS integrated method, which will contribute to the literature in the field of multi-criteria decision making (MCDM).The study used decision matrices generated from financial data for the years 2020–2024. Criteria weights were determined using the MEREC method, and company performance rankings were performed using the MARCOS method. The reliability of the method was tested using comparative analysis using WASPAS, COPRAS, SAW, and MOOSRA methods, and the Spearman rank correlation coefficient. The analyses revealed that the criteria weights change periodically. While the Intangible Assets (K8) criterion was of the highest importance in 2020–2021, the Market Value–Book Value (K5) criterion gained prominence in subsequent years. In the company rankings, ALKA achieved the highest performance between 2022 and 2024, while DGNMO and MNDTR experienced a decline in performance. The Spearman correlation coefficient averaged 0.95, demonstrating high agreement between the methods. The MEREC–MARCOS method is an effective tool for objective, reliable, and comparative assessment of intellectual capital performance. The method can be adapted to different sectors and decision-making problems, and more flexible decision support systems can be developed by integrating it with fuzzy logic or artificial intelligence-based approaches.
Keywords : BIST, Çok kriterli karar verme, Entelektüel sermaye

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