Josey Chacko, Loren P Rees, & Christopher W. Zobel. (2014). Improving resource allocation for disaster operations management in a multi-hazard context. 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. 85–89). University Park, PA: The Pennsylvania State University.
Abstract: The initial impact of a disaster can lead to a variety of associated hazards. By taking a multi-hazard viewpoint with respect to disaster response and recovery, there is an opportunity to allocate limited resources more effectively, particularly in the context of long-term planning for community sustainability. This working paper introduces an approach for extending quantitative resource allocation models to consider multiple interrelated hazards. The discussion is motivated by a literature review of existing models and then focuses on changes necessary to take the multiplicity of hazards into consideration in the context of decision support systems for disaster operations management.
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Sigmund Kluckner, Johannes Sautter, Matthias Max, Wolf Engelbach, & Tina Weber. (2012). Impacting factors on human reactionsto alerts. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Crisis response authorities have to deal with the unpredictability of their population's behavior. One of the complex challenges is to understand the people's reaction after an official alert in a crisis situation has been issued. This paper elaborates a knowledge base to describe impacting factors on human reactions in alerting situations. For this purpose, a literature review in the theme of human behavior after warnings was conducted and augmented with information gathered in a series of interviews in German-speaking countries. The outcome is phrased as factors that might impact the human reaction to a warning. This knowledge base shall support crisis management practitioners in the elaboration of alerting strategies as well as allow researchers to systematically structure human behavior aspects for the purpose of modeling and simulating alert effects. © 2012 ISCRAM.
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Dilek Ozceylan, & Erman Coskun. (2008). Defining critical success factors for National Emergency Management Model and supporting the model with information systems. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 376–383). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Natural or man-made disasters frequently occur in different countries and disaster types and consequences might differ immensely depending on that country's unique characteristics. While probability of a man-made disaster occurrence will be high for technologically advanced countries as a result of using technology in almost every aspect of daily life, probability of natural disaster occurrence will be dependent on geological, geographical, and climate related factors. Based on their different risk types and levels, each nation should create their own National Emergency Management Model (NEMM) and because of country specific conditions each plan must be unique. Thus, for each country NEMM should be focusing on different factors which are important and should show that country the importance list of factors. As a result, countries may better distribute their limited resources to reach optimum emergency management plan and execution. In this study, our goal is to three fold. Our first goal is to come up with full list of categories and factors which are important for a successful National Emergency Management Model. In order to achieve this goal, we determined our categories and factors based on our analysis of previous disasters and literature review. The second goal is to determine the importance level of each category and defining critical success factors for different countries. For this purpose, we are planning to use experts from different countries. This part of study is still underway. Finally, we analyze how information systems might be utilized for each category and factors to support a better National Emergency Management Model. This is a first step of a multi-step research.
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