Evaluation of decent work and economic growth performance using a hybrid LOPCOW–CRISUS- CoCoSo approach: The case of Türkiye
Published 2026-09-25
Keywords
- İnsana Yakışır İş, Ekonomik Büyüme, LOPCOW, CRISUS, CoCoSo
- Decent Work, Economic Growth, LOPCOW, CRISUS, CoCoSo
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Copyright (c) 2026 Gül Dertli

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Abstract
This study proposes an objective and integrated Multi-Criteria Decision-Making (MCDM) model to evaluate Türkiye’s performance in terms of decent work and economic growth indicators. The proposed hybrid decision framework combines the Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) and the Criterion Importance Based on Sum of Squares (CRISUS) methods to determine indicator weights within a two-stage objective structure, while the Combined Compromise Solution (CoCoSo) method is employed to obtain performance rankings due to its compromise-oriented characteristics. The analytical validity and applicability of the model are examined through a case study using annual data for Türkiye covering the period 2005–2024. The final weighting results indicate that the indicators explaining decent work and economic growth performance do not possess equal importance. In this context, the number of non-fatal occupational injuries per 100,000 workers emerges as the most influential core determinant, whereas the relative importance of domestic fossil fuel consumption per unit of GDP is found to be considerably limited. The ranking results derived from the CoCoSo method reveal that Türkiye's decent work and economic growth performance follows a fluctuating pattern over time, identifying 2014 as the highest-performing year and 2005 as the lowest-performing period. Furthermore, sensitivity and comparative analyses strongly support the robustness of the rankings and the methodological reliability of the proposed model. Overall, the findings provide meaningful and policy-relevant insights for identifying priority intervention areas.
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