Title :
Improving the Crisis to Crisis Learning Process
Author :
Rich, E. ; Sarriegi, Jose Mari ; Lauge, A. ; Hernantes, Josune ; Labaka, Leire ; Gonzalez, Jose J.
Author_Institution :
SUNY - Univ. at Albany, Albany, NY, USA
Abstract :
While crises may appear to be event-driven, post-mortem accounts often identify factors that accumulate over time and increase the likelihood of failure. These factors are particularly difficult to anticipate when multiple organizations are involved in crisis preparation and event detection. Through the development of a systems-based model of crisis management, we learned that knowledge sharing can be accelerated or inhibited by the development of trust among organizations through the management of events. Is it possible to operationalize this finding? This hypothesis is being integrated into our current research in progress, a multi-national Community of Practice in disaster management.
Keywords :
emergency management; learning (artificial intelligence); crisis management; crisis to crisis learning process; disaster management; event detection; event-driven accounts; knowledge sharing; multinational community of practice; multiple organizations; post-mortem accounts; systems-based model; Adaptation models; Computational modeling; Conferences; Crisis management; Educational institutions; Mathematical model; Organizations;
Conference_Titel :
System Sciences (HICSS), 2013 46th Hawaii International Conference on
Conference_Location :
Wailea, Maui, HI
Print_ISBN :
978-1-4673-5933-7
Electronic_ISBN :
1530-1605
DOI :
10.1109/HICSS.2013.264