CCE Theses and Dissertations
Date of Award
2004
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Information Systems (DISS)
Department
Graduate School of Computer and Information Sciences
Advisor
Sumitra Mukherjee
Committee Member
Maxine S. Cohen
Committee Member
William L. Hafner
Abstract
There are numerous disaster relief agencies poised to respond to disasters; however, coordinating the activities of these diverse and dispersed entities and capitalizing on their knowledge assets can be a challenge. All of these agencies are dedicated to serving survivors of disasters, but they at times lack the coordination necessary to respond efficiently. The Virginia Voluntary Organizations Active in Disaster (VOAD) is an umbrella organization of existing agencies dedicated to working closely with other organizations to improve service and minimize duplication during disaster operations. To better cope with disasters, the Virginia VOAD needs to develop knowledge management strategies to coordinate its resources. The goal of this study was to design a use-case model of a web-based knowledge management system to support state and local level disaster recovery planning and operations in the aftermath of a disaster. The focus of this study was to support the disaster field office (DFO) operations. The use-case methodology outlined in the Rational Unified Process and supported by the Unified Modeling Language notation provided the means of systematically discovering and documenting system requirements. The resulting model provides a framework for a knowledge management system that has been adapted to the disaster recovery domain. Evaluation and validation of the model has shown this to be a viable concept. It is anticipated that this model could serve as the basis for developing a prototype knowledge management system that may also be adapted to similar state and local VOAD chapters around the country.
NSUWorks Citation
Eileen Eudy. 2004. A Use-Case Model for a Knowledge Management System to Facilitate Disaster Relief Operations. Doctoral dissertation. Nova Southeastern University. Retrieved from NSUWorks, Graduate School of Computer and Information Sciences. (509)
https://nsuworks.nova.edu/gscis_etd/509.