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Magiswary Dorasamy, & Murali Raman. (2011). Information systems to support disaster planning and response: Problem diagnosis and research gap analysis. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: There is significant gap in the literature and past research on Knowledge Management Systems (KMS) in the domain of disasters. This PhD research work is an action research to design and implement a web-based knowledge management system that aims to fill this theoretical gap in KMS for disasters and to improve the disaster planning and response efforts within an institutional context. The diagnostic stage results imply that the organisation can benefit from the implementation of an information system to support its disaster planning and response efforts. Current scenario at the State Crisis and Security Council (SCSC) in Malaysia revealed some real challenges pertaining to communication, coordination and knowledge processes between SCSC and its district level officers (DO). The proposition of this research is that a well-defined knowledge management system can successfully support disaster planning and response effort in organizations.
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Magiswary Dorasamy, Murali Raman, & Maniam Kaliannan. (2014). Evaluating CEMAS in simulated environment to support disaster management challenges. 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. 444–453). University Park, PA: The Pennsylvania State University.
Abstract: Researchers and emergency management system designers constantly find ways to produce suitable systems that have best fit between technology, and tasks. However, there is significant gap in the literature on designing information system that places greater emphasis on situational qualities. We posit that situational qualities are as important as information system success qualities such as system quality, information/knowledge quality and service quality. This research work aimed to fill this theoretical gap in designing IS for disaster management and to contribute towards guiding design decisions for future emergency management information systems development. A prototype system called CEMAS was designed and developed to support current challenges in disaster management. The underlying guiding theory for CEMAS was situational qualities interweaved within information system success factors in the form of knowledge management system. This paper presents the evaluation results of CEMAS in a simulated environment for flood.
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Tim Murphy, & Murray E. Jennex. (2006). Knowledge management systems developed for hurricane katrina response. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 615–624). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: This paper explores the use of knowledge management with emergency information systems. Two knowledge management systems that were utilized during Hurricane Katrina response are described and analyzed. The systems specified were developed by both federal agencies as well as grass root efforts without the support or mandate of government programs. These programs, although developed independently, were able to share data and interact in life saving capacities, transcending traditional geo-political boundaries. We conclude that emergency information systems are enhanced by incorporating knowledge management tools and concepts.
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Samuel Otim. (2006). A case-based knowledge management system for disaster management: Fundamental concepts. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 598–604). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Computer-based knowledge management systems are vital for disaster detection, response planning, and management. These systems aid in early warning, and provide decision support for disaster response and recovery management. Managing past knowledge for reuse can expedite the process of disaster response and recovery management. While early warning systems predict some disasters with remarkable accuracy, there is a paucity of knowledge management systems for disaster response and management. This paper outlines a case-based reasoning (CBR) knowledge management system that in effect, is a model of human reasoning since it is based upon the idea that people frequently rely on previous problem-solving experiences when solving new problems. A CBR knowledge management system results in efficient and effective disaster response and management.
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