TY - JOUR T1 - Evaluating the Efficiency of Companies in the Borsa Istanbul Corporate Governance Index Using Data Envelopment Analysis A1 - Zekeriya Sahin A1 - Hakan Çora JF - Journal of Organizational Behavior Research JO - J Organ Behav Res SN - 2528-9705 Y1 - 2024 VL - 9 IS - 2 DO - 10.51847/zPwFocwg97 SP - 149 EP - 163 N2 - This study examines the efficiency of companies listed in the Borsa Istanbul (BIST 100) Corporate Governance Index for the year 2023 using Data Envelopment Analysis (DEA). DEA, a non-parametric method, was applied to 46 companies to evaluate their ability to maximize outputs given available inputs. The analysis employed an output-oriented Charnes, Cooper, and Rhodes (CCR) model, implemented through the Efficiency Measurement System (EMS) software. The findings revealed that 15 companies were relatively efficient, while 31 were inefficient, resulting in an overall efficiency rate of 32.6%. These results underscore the importance of robust corporate governance standards in enhancing organizational performance. The study identified corporate governance principles, such as transparency, accountability, and stakeholder engagement, as critical factors influencing efficiency. Recommendations to improve inefficiencies include strengthening governance standards, implementing training programs, and fostering transparency and accountability. The study contributes to the existing literature by providing empirical evidence of efficiency levels within Turkey's Corporate Governance Index and highlights the ongoing challenges and opportunities for improving corporate practices. The results also serve as a valuable reference for investors and policymakers seeking to enhance the performance of publicly listed companies and promote sustainable growth. Future research could expand by incorporating different variables and periods to assess longitudinal changes in corporate efficiency. UR - https://odad.org/article/evaluating-fhe-efficiency-khf-companies-hn-fhe-borsa-istanbul-corporate-governance-index-using-data-e-dl8xabgqiehqk4g ER -