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Humanitarian Competencies for Disaster Management: A Conceptual Framework

. Dr.D.Srinivasa Rao, Professor , Mrs.S. Jyothi Kannipamula, Research Scholar, Koneru Lakshmaiah Education Foundation,Vaddeswaram.


Abstract

In recent years natural disasters are striking with increasing frequency and intensity which mandated Governments across the globe to focus on disaster management. With a 7,516 kms long coastline India is prone to floods and cyclones; 68% of the agricultural land is prone to droughts while 12% is prone to river erosion. When a disaster strikes the response is different depending on the nature and intensity of disaster. Effectiveness of humanitarian assistance often depends on the effectiveness of the resources utilized such as predictive logic, relief partners, logistics technology and relief personnel. Analysis of the most recent yet more vulnerable disasters have pointed out that the relief workers often created a difference. Academic research has however focussed  more on the decision making technologies and all other critical points of the relief supply chain and the behavioural issues are always laid back.. Lack of appropriate access to standardized models to train the relief workers has created a need to develop a competency model which can further be validated with the relief organizations to create a standard. The current study aims to develop and test an operational model that proposes a relationship between the competencies of the emergency relief workers, their job performance and job satisfaction through empirical analysis of primary data gathered from agencies involved in disaster management. The study is expected to come up with recommendations through the key findings of the gaps in existing competencies of relief workers to be able to improve their efficiency in their relief operations.

    Key Words

   Humanitarian Competency      Disaster Management    Capacity Building   Competency Mapping Conceptual Frame work  Content Analysis   Financial       Efficiency  Relief Worker Competency Clusters

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