| Abstrakt: |
This study aims to enhance the understanding of dynamic capabilities in sustainable supply chain management (DC-SSCM) for product-based small and medium enterprises (SMEs). Using a combination of the structural-self interaction matrix (SSIM), measurement alternatives and ranking according to the compromise solution (MARCOS) method, and matrix of crossed impact matrix multiplication applied to classification (MICMAC), the research identifies and categorizes 21 DC-SSCM indicators into sensing, seizing, and reconfiguring capabilities. Key findings include the identification of 10 dynamic capabilities, surpassing previous studies, and the description of 11 SSCM indicators, showing variance from other research due to differing industry focuses. The analysis reveals that indicators like supply chain information sharing and cooperation are critical drivers, while operational costs and logistics costs have lower dependence power. The study’s framework and insights provide a detailed perspective on optimizing dynamic capabilities and sustainability practices in SMEs, aligning with existing literature and highlighting areas for further research. |
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