Enhancing Resilience and Sustainability in Humanitarian Procurement: A Supplier Evaluation Framework Using the Best-Worst Method

Abstract With the growing complexity and frequency of humanitarian crises globally, incorporating resilience and sustainability criteria into the supply chains of humanitarian organizations has become essential. This study aimed to enhance the resilience and sustainability of the humanitarian supply chain by integrating economic, resilience, environmental, and social aspects. The Delphi method was employed as the research method, and the best-worst method (BWM) was applied to compute the context-specific supplier evaluation criterion weights. As an outcome of this research, the current and desirable supplier evaluation criteria were identified, and a holistic supplier evaluation framework was developed for humanitarian organizations (HOs). The study revealed that the integration of environmental criteria in supplier evaluation is still in its emerging stage. Moreover, increasing stakeholder engagement and securing donor support are critical for achieving resilience and sustainability in humanitarian procurement. This study provides an easy step-by-step supplier evaluation process that can be applied by HOs to enhance sustainable and resilient humanitarian procurement.

Authors

Institutions

Publication Details

Journal
International Journal of Disaster Risk Science
Published
2026-08-24
DOI
https://doi.org/10.1007/s13753-026-00757-3
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Resilience and Sustainability in Humanitarian Procurement: A Supplier Evaluation Framework Using the Best-Worst Method

Hui Shan Loh, Huay Ling Tay, Ei Myat Kay Khine
International Journal of Disaster Risk Science
Facility Location and Emergency Management
article

Enhancing Resilience and Sustainability in Humanitarian Procurement: A Supplier Evaluation Framework Using the Best-Worst Method

Hui Shan Loh, Huay Ling Tay, Ei Myat Kay Khine
article en

Abstract

Abstract With the growing complexity and frequency of humanitarian crises globally, incorporating resilience and sustainability criteria into the supply chains of humanitarian organizations has become essential. This study aimed to enhance the resilience and sustainability of the humanitarian supply chain by integrating economic, resilience, environmental, and social aspects. The Delphi method was employed as the research method, and the best-worst method (BWM) was applied to compute the context-specific supplier evaluation criterion weights. As an outcome of this research, the current and desirable supplier evaluation criteria were identified, and a holistic supplier evaluation framework was developed for humanitarian organizations (HOs). The study revealed that the integration of environmental criteria in supplier evaluation is still in its emerging stage. Moreover, increasing stakeholder engagement and securing donor support are critical for achieving resilience and sustainability in humanitarian procurement. This study provides an easy step-by-step supplier evaluation process that can be applied by HOs to enhance sustainable and resilient humanitarian procurement.

International Journal of Disaster Risk Science
Singapore University of Social Sciences (SG)
Responsible consumption and production
Openalex Percentile: Top 4%
Facility Location and Emergency Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhancing Resilience and Sustainability in Humanitarian Procurement: A Supplier Evaluation Framework Using the Best-Worst Method — Hui Shan Loh, Huay Ling Tay, et al. · International Journal of Disaster Risk Science (2026) | TGRS Research Map | TGRS