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Sustainable humanitarian supply chain management: exploring new theory

  • Nathan Kunz
  • , Stefan Gold
  • University of Nottingham

Research output: Contribution to journalArticlepeer-review

Abstract

Disaster response operations aim at helping as many victims as possible in the shortest time, with limited consideration of the socio-economic context. During the disaster rehabilitation phase, the perspective needs to broaden and comprehensively take into account the local environment. We propose a framework of sustainable humanitarian supply chain management (SCM) that facilitates such comprehensive performance. We conceptualise the framework by combining literature from the fields of sustainable and humanitarian SCM. We test the framework through an analytic induction process by means of multiple case studies of four relief organisations. Our framework suggests that supply chain design needs to be aligned not only to relief organisations’ enablers, but also to the population's long-term requirements as well as any socio-economic and governmental contingency factors. A good fit between these dimensions leads to sustainable performance. The framework provides an instrument for relief organisations to achieve sustainable performance in the disaster rehabilitation phase.
Original languageAmerican English
Pages (from-to)85-104
JournalInternational Journal of Logistics-research and Applications
Volume20
Issue number2
DOIs
StatePublished - Mar 4 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Supply chain management
  • case studies
  • disaster rehabilitation
  • government
  • humanitarian logistics
  • sustainability

Disciplines

  • Marketing
  • Operations and Supply Chain Management
  • Natural Resource Economics
  • Sustainability
  • Economics

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