A Neutrosophic Causality Analysis (NCA) for Critical Success Factors of Humanitarian Logistics Management during Disaster
Keywords:
Humanitarian Logistics; NS-Delphi; NS-DEMATEL; NS-WASPAS; Vietnam; MCDM; Disaster managementAbstract
Humanitarian logistics management (HLM) is critical for effective disaster
response and risk mitigation in disaster-prone regions like Vietnam, where unpredictable
natural disasters complicate the identification of critical success factors (CSFs). This study
employs a quantitative approach, utilizing insights from 50 experienced humanitarian
logistics experts in Vietnam to create an unbiased dataset. By integrating Multi-Criteria
Decision Making (MCDM) with Neutrosophic Sets (NSs), the research applies NS-Delphi
for expert consensus, Neutrosophic Decision Making Trial and Evaluation Laboratory (NS
DEMATEL) to evaluate CSF interrelationships, and Neutrosophic Weighted Aggregated
Sum Product Assessment (NS-WASPAS) to prioritize strategies. The analysis encompasses
50 variables across five dimensions: Strategic, Operational, Technological, Financial and
Resource Management, and Social and Environmental factors. Findings emphasize the
critical role of Technological, Financial, and Resource Management as system levers,
urging humanitarian organizations to prioritize technological and financial capacities while
enhancing EF integration to build a more responsive, flexible, and sustainable HLM system
amidst global challenges. Key strategies prioritized include digital transformation, strategic
planning, policy development, data-driven disaster response, and enhanced last-mile
delivery capabilities, all vital for improving HLM effectiveness. These insights provide
policymakers with a robust framework to strengthen HLM, ensuring timely and equitable
relief operations in Vietnam’s complex disaster landscape.
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