Irma Becerra-Fernandez, Weidong Xia, Arvind Gudi, & Jose Rocha. (2008). Task characteristics, knowledge sharing and integration, and emergency management performance: Research agenda and challenges. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 88–92). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Emergency management tasks are inherently complex and dynamic, requiring quick knowledge sharing and decision coordination among multiple organizations across different levels and locations. However, there is a general lack of understanding about how to describe and assess the complex and dynamic nature of emergency management tasks and how knowledge integration help managers improve emergency management task performance. This paper describes a research project that aims at (1) developing the concepts of task complexity and uncertainty of emergency management tasks and (2) testing the mediating role of knowledge sharing and knowledge integration between emergency management task characteristics and performance. The overall research agenda, approaches, challenges and the advantages of utilizing a virtual Emergency Operations Center (vEOC) for this line of research are discussed.
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Kelli de Faria Cordeiro, Maria Luiza M Campos, & Marcos R. S. Borges. (2014). Adaptive integration of information supporting decision making: A case on humanitarian logistic. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 225–229). University Park, PA: The Pennsylvania State University.
Abstract: There is an urgent demand for information systems to gather heterogeneous information about needs, donations and warehouse stocks to provide an integrated view for decision making in humanitarian logistics. The dynamic flow of information, due to the unpredicted events, requires adaptive features. The traditional relational data model is not suitable due to its schema rigidity. As an alternative, Graph Data models complemented by semantic representations, like Linked Open Data on the Web, can be used. Based on both, this research proposes an approach for the adaptive integration of information and an associated architecture. An application example is discussed in a real scenario where relief goods are managed through a dynamic and multi-perspective view.
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