Comparative case analysis reveals shared dynamics of volatility and asymmetry across logistics sectors, suggesting intelligent systems can stabilize humanitarian supply chains.
Purpose This paper aims to develop the tentative hypothesis that common effective dynamics generate asymmetry volatility and unpredictability in the business, military and humanitarian logistics sectors. Design/methodology/approach The paper examines collaborative supply chain management (CSCM) concepts which integrate practical comparator cases to develop and justify the theoretical framework. Findings The humanitarian logistics sector can take “best practice” from business and military LSCM developments, but has specific problems of potential instability which require sector‐specific attention. Research limitations/implications Humanitarian logistics' “present state” is a zero sum model because of the fragmented nature and number of disparate actors, which generate the logistics system volatility, unpredictability and asymmetry common to unstable operations, and which formed the research rationale for this paper. Practical implications The development gap identified can be resolved, and synthesis achieved, with the application of an intelligent system infrastructure. Originality/value This paper provides a development framework for a comprehensive set of universal techniques and a commonality in humanitarian logistics and supply chain management.
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Carroll et al. (2009) studied this question.
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