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[Complex System Features] In practical terms, this means a small perturbation may cause a large effect (see butterfly effect), a proportional effect, or even no effect at all. In linear systems, effect is always directly proportional to cause. See nonlinearity. The argument for innovation is it has to become non-linear. Most innovation is complex involving multiple agents, dynamic interactions combining in often unique ways. These fluctuate and combine and any innovation system has to have higher degrees of flexibility more for today, as many issues are difficult to solve in just (simple) linear ways. [0] 
Relationships are non-linear
A recognition that innovation is a complex adaptive system | Paul4innovating's Innovation Views
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