Social Sustainability Index for Performance Measurement in Humanitarian Supply Chains: A Novel Fuzzy Logic and TISM–MICMAC Approach
摘要
Sustainability in humanitarian operations has primarily focused on environmental issues, while the social dimension remains underexplored despite its crucial role in disaster response and recovery. Essential social aspects, such as equitable aid distribution, community resilience, and long-term well-being, are crucial for the efficacy of humanitarian supply chains (HSCs). The enhancement and comprehension of social sustainability can be achieved through performance measurement. However, the challenge lies in measuring performance to improve social sustainability due to the complexity of quantifying social factors, human subjectivity, and uncertainty. Although a few studies have attempted to address this issue, they have not succeeded in presenting a comprehensive and measurable framework. To address this gap, this study developed a structured framework that integrates quantitative and qualitative methods for assessing the performance of social sustainability in HSCs. By employing an index-based fuzzy logic approach in conjunction with TISM–MICMAC analysis, this study measured social sustainability performance and established a hierarchical structure to identify key enablers and dependencies. The framework was validated through a case study, providing targeted policy recommendations to enhance fair resource allocation, stakeholder collaboration, and overall social impact. Beyond measurement, this study offers a strategic roadmap for integrating social sustainability into humanitarian decision-making, fostering resilience, and strengthening disaster response systems. Ultimately, this research promotes stakeholder trust and advances a socially equitable approach to humanitarian operations.