Towards a humanitarian logistics knowledge management system
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Paper Classification Conceptual Paper Abstract Purpose The aim of this paper is to offer a conceptual model and an associated taxonomy to support the development of a body of knowledge in support of the logistic response to a natural or man-made disaster. Design/Methodology/Approach Based on a literature review, the paper outlines the difficulties associated with the logistic response to a disaster, before discussing a generic approach to knowledge management. The literature review is then used to identify two potential models (the Supply-Chain Operations Reference (SCOR) and the UK Defence Lines of Development (LOD)) that are then further developed and integrated in order to underpin a knowledge taxonomy. Findings The paper proposes a model that combines both the SCOR and LOD models into a unified approach as a first step towards the development of a broad ranging reference source to support humanitarian logisticians and, thereby, improve the effectiveness and efficiency of the response to future disasters. Research Limitations As a first step towards the creation of a knowledge taxonomy, this conceptual paper, does not attempt to validate the model, but it proposes an approach by which this could be undertaken. Practical Implications Given the plethora of non-governmental organisations (NGOs) in the broadest sense of this categorisation, and also recognising the varied nature of their aims, objectives and approaches, the paper pays particular attention to the need to develop a model that can be supported by the NGO community as a whole. Key Words Humanitarian logistics, Knowledge management, Knowledge taxonomy, Supply network management, Supply chain management
Disaster Prevention and Management
Copyright 2010 Emerald. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Logistics and Supply Chain Management