Disasters are difficult to predict in terms of their scale and impact and thus, difficult to control. They do not constitute a simple straight line extension of an auto accident or house fire (Drabek, 1994). Similarly, the behavior of virtually all systems important to organizations varies over time and does not follow a straight-line pattern (Cavaleri and Obloj, 1993). In the aftermath of a disaster, initial work demand is highly dynamic and unpredictable and would be dictated by intensity and disruption caused by a disaster. For instance, Figures 5 and 6 illustrate damage caused by Hurricane Katrina during the first week and the resulting work demand. The initial work demand gradually spreads and increases based on a wide range of variables including scale of disaster, vulnerability of affected area which in turn is affected by population density, site-specific conditions (e.g. exposure to hazardous conditions) and effects of cascading disasters resulting from inter-dependence between elements of critical infrastructure. Effective disaster response could stabilize the work demand. Otherwise, there is a probability that work demand will continue to increase. Often, the work demand could not be perceived due to limitations of technology, cascading effect, and dynamic characteristic of disasters. A high level of SA enabled by better inter and intra-organizational communication could help responders better assess the work demand.