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(Created page with "A crisis is described by a number of key aspects. See also: From Crisis Prone to Crisis Prepared: A Framework for Crisis Management * High magnitude * Require immediate ...")
Revision as of 06:47, 8 June 2012
A crisis is described by a number of key aspects. See also: From Crisis Prone to Crisis Prepared: A Framework for Crisis Management
- High magnitude
- Require immediate attention
- Element of surprise
- Need to take action
- Out of a company's direct control
The element of surprise is important in relation to prediction. If something is predictable it means that there is no element of surprise. The question leading from this: can you predict a crisis? It sounds contrary since a crisis is a situation that is unexpected. Black swans are even more unpredictable since they are sudden and unexpected. Greater element of surprise. What we possibly can predict is certain future changes in an environment that might if no action are taken might evolve into a crisis. The degree to which we can predict future events in an environment depends on the properties of an environment. The environment a company operates in dictates which management school principles might work. The more uncertain an environment the more the adaptive school will prevail, since the future is uncertain, the environment to complex and uncertain to understand. Adaptive school lends to a mode of monitoring and reacting effectively on important changes in the environment. An environment that is more stable, more linear with less unexpected events over time lends itself to prediction based on the understanding of variables in the environment. In these environments planning school could be useful to plan strategically decisions. Transformative and Control are relatively the same as Adaptive and Transformative although their theory underlines the importance a company has on the environment variables. Globalization, trends towards more efficiency and increased integration however lead to a more complex world, increasing variable dependency.
The level of prediction and the management mode are dependent on the environment a company operates in. Understanding and collecting important environment variables is important for any management mode whether used for prediction or for decisions. Adaptive approches are more likely to gain popularity because of the increase of complexity and non linearity in environments.
Extra information on prediction efforts from big datasets: http://www.springerlink.com/content/k073277jm476074t/