- Title
- Similarities between disaster supply chains and commercial supply chains: a SCM process view
- Creator
- Olaogbebikan, Jimoh Eniola; Oloruntoba, Richard H.
- Relation
- Annals of Operations Research Vol. 283, p. 517-542
- Publisher Link
- http://dx.doi.org/10.1007/s10479-017-2690-1
- Publisher
- Springer
- Resource Type
- journal article
- Date
- 2017
- Description
- The purpose of this paper is to demonstrate similarities between disaster relief chains and commercial supply chains using the Customer Relationship Management Process Model (CRM) of the seminal Global Supply Chain Forum Framework published BY Croxton et al (2001) as a lens of analysis. A range of empirical data from a case study of the 2006 relief response to the Cyclone Larry disaster is analysed using the Customer Relationship Management Process Model (CRM) of the Global Supply Chain Forum Framework as a lens of analysis. We find that there are unexpected similarities between disaster relief chains in the Cyclone Larry disaster response and commercial supply chains. The study demonstrates that effective commercial logistics and SCM concepts can be found in the domain of disaster response operations and allied management of supply chains for disaster recovery (DROSCM). The study also shows that research in the DROSCM domain can develop in a range of directions unfettered by a paradigm that so far seems to have been almost exclusively focussed on differences between disaster relief chains and commercial supply chains. This is one of the first studies to demonstrate similarities between disaster relief chains and commercial supply chains using a published SCM process framework, the Global Supply Chain Forum Framework (GSCF) as a lens of analysis, thus opening conventional theoretical assumptions up to further scrutiny in research in DROSCM.
- Subject
- disaster operations; humanitarian operations; humanitarian supply chains; disaster response operations; DRCs
- Identifier
- http://hdl.handle.net/1959.13/1424081
- Identifier
- uon:38024
- Identifier
- ISSN:0254-5330
- Language
- eng
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