Complexity Theory describes a method to understand complex systems and includes many theories and simulations. Heisenberg's Uncertainty Principle evolved from various concepts in mathematics, physics, biological sciences and computer sciences. The complexity of the theory has discouraged some scientists from analyzing it further, however.
Scientists normally apply Complexity Theory on nonlinear systems that change in a disorganized manner. This means that the input provided into a complex system may not be proportional to its output. The scientists analyze these complex systems by means of the larger systems that exist outside and smaller sub-systems that exist inside them. Any change that takes place in the system can also bring about a change to its surroundings, and complex systems can organize themselves after chaos or a disturbance. For example, the growth of a plant may not be directly proportional to the nutrients it receives. Weather and random events such as natural disasters impact a plant's atmosphere, thereby hindering growth and making the system complex.
One of the practical applications of the Complexity Theory deals with the time and patience that humans require to analyze a system before suggesting solutions or reaching conclusions, because a solution proposed without analyzing the causes may not be effective. Another application deals with participatory leadership or a commanding, controlling approach. For instance, in family businesses, the younger generations tend to be more efficient when senior members make more unified decisions. This means that the theory calls for collaboration in leadership. The theory also asserts that change causes further change.
It might not be possible to foresee or predict the state of a complex system that includes complex conditions and equations. The Complexity Theory considers strategic planning as a randomly changing or dynamic process, and provides insight to deal with an unpredictable universe. The conclusions of the theory provide a basis for scientists to test any state of equilibrium. It provides a better way to analyze the order and disorder that exists in complex business systems.