Measuring Corporate Sustainability Performance in The Automotive Sector with Entropy and CoCoSo Methods: Ford Otosan Case Cover Image

Otomotiv sektöründe kurumsal sürdürülebilirlik performansinin entropi ve CoCoSo yöntemleri ve ölçülmesi: Ford Otosan örneği
Measuring Corporate Sustainability Performance in The Automotive Sector with Entropy and CoCoSo Methods: Ford Otosan Case

Author(s): Süleyman Alperen Akdoğan, Ahmet Öztel
Subject(s): Business Economy / Management, Energy and Environmental Studies, Transport / Logistics, Green Transformation
Published by: Bartın Üniversitesi, Sosyal Bilimler Enstitüsü
Keywords: Corporate sustainability; Entropy method; CoCoSo method; Multi-criteria decision making; Automotive industry; Ford Otosan;

Summary/Abstract: Corporate sustainability refers to the long-term value creation approach in which companies operate not only with a focus on financial performance but also by considering their environmental impact and social responsibilities. This study evaluates the corporate sustainability performance of Ford Otosan—one of Turkey's leading automotive manufacturers—between the years 2016 and 2022 through an integrated multi-criteria decision-making approach. The Entropy method was used to objectively determine the weights of economic, environmental, and social sustainability indicators, while the CoCoSo (Combined Compromise Solution) method was employed to rank the annual performances. The analysis is based on data extracted from Ford Otosan’s publicly available sustainability reports. The findings reveal that the year 2022 marked the highest performance across all three sustainability dimensions. In the economic dimension, increases in net profit, R&D investments, and dividend consistency played a critical role. In the environmental dimension, improved performance was driven by increased use of renewable energy, reduced greenhouse gas emissions, and greater emphasis on environmental training. In the social dimension, notable improvements were observed in social investment levels and occupational safety indicators. Additionally, comparisons with previous studies show that sectoral characteristics and methodological differences significantly affect sustainability rankings. This study contributes to literature by demonstrating how objective, data-driven MCDM methods can be effectively utilized in corporate sustainability assessments. Future research may benefit from applying this framework to broader samples and other sectors for comparative insights.

  • Issue Year: 10/2025
  • Issue No: 2
  • Page Range: 99-137
  • Page Count: 39
  • Language: Turkish
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