Humanitarian and Societal Logistics

Humanitarian and Societal Logistics is one of Hanken's Areas of High Potential

Non-scientific description: Humanitarian and Societal Logistics (HSL) focuses on logistics and supply chain management (SCM) in a changing society; especially sustainable SCM, environmental, social, and societal logistics; global issues, disaster relief, and development aid, and sustainable development goals. Research topics include, for instance, humanitarian logistics, disaster management, and development aid supply chains – whether in natural disasters, crises and emergencies, or conflict zones; sustainable and responsible SCM; environmental, social, ethical, and societal issues in the global and local supply chain; industrial ecology and the circular economy; as well as areas such as civil defence, civil-military co-ordination, crisis management, risk, resilience, security, public sector management, sustainable development, and sustainable supply. HSL builds on Hanken’s major subject area of Supply Chain Management & Social Responsibility (SCM&SR) and the Humanitarian Logistics and Supply Chain Research Institute (HUMLOG Institute).

  • Key non-scientific/managerial question: How do supply chains support a society best?
  • Scientific sub-disciplines: sustainable SCM, humanitarian logistics and SCM, disaster management, development studies, industrial ecology, crisis management, public sector management, sustainable development, public health
  • Scientific research topics: humanitarian logistics; disaster management;  development aid supply chains; natural disasters, crises, and emergencies;  conflict zones;  sustainable and responsible supply chain management; environmental, social, ethical, and societal issues in the global and local supply chain;  industrial ecology; circular economy; civil defence; civil-military co-ordination; crisis management;  risk; resilience; security; public sector management; sustainable development; sustainable supply
  • Scientific research methods: qualitative as well as quantitative methods, depending on the research question