Evaluating Agile Information-Based Framework for Flood Management Utilizing Metadata Concept to Support Flood Operation Activities
Keywords:Agile concept, Flood management, Flood operation, Metadata model, Framework
Operational policies are established to handle natural hazards including floods to minimize the effect with differing degrees of effectiveness and increasing relaxation. Sometimes policies are time-consuming of rigid protocols that are inadequate in a dynamic and somewhat chaotic environment synonymous with the complexity of flood disaster. Hence, this research aimed at recommending the incorporation of agile concepts in flood control, which would offer stability and adaptability in the control of the complex flood situation. Extensive reviews on flood management and existing frameworks for disaster management were conducted to understand the problems and the potential solution to construct an agile framework. A grounded analysis was conducted to obtain insight into how the agility of standard operating procedures could be enhanced. The agile components have been defined by contrasting characteristics from other effective disciplines, including software development and health care, that share common complexity in management environments. Consequently, an Agile Information-Based for Flood Management Framework is proposed in previous publication. The validation component for agile key-values presented in the earlier article is, however, absent. This study therefore presents the validation component from earlier publication on the Agile Information Based Framework. A theoretical evaluation of the proposed key-values for the agile framework has been conducted using the metadata concept. The evaluation identified the similarity feature in the same area where the proposed framework was agreed to be implemented in tandem with electricity company emergency response plan to improve flood operations. The proposed key-values in the agile framework are required to be adopted and further strengthened by other significant variables.