Most companies think of disruption as a threat. But disruptive innovations have tremendous growth potential. If incumbent companies can learn how to harness the forces of disruption, they too can improve their ability to create new-growth businesses.

Disruption is, at its core, a really powerful idea, but everyone hijacks the idea to do whatever they want now.

Every disruptive innovation is powered by a simplifying technology, and then the technology has to get embedded in a different kind of a business model. The first two decades of digital computing were characterized by the huge mainframe computers that filled a whole room, and they had to be operated by PhD Computer Scientists. It took the engineers at IBM about four years to design these mainframe computers because there were no rules. It was an intuitive art and just by trial and error and experimentation they would evolve to a computer that worked.

I've concluded that getting the categories right is an absolutely crucial step to building useful management theory, and unfortunately too few writers do this. You've got to engage in serious scholarship, and then figure out how to write it in a way that lots of people can understand.

But actually theory is very practical. Gravity is a theory, for example. It allows you to predict that if you step off a cliff you will fall; you don't have to collect data on that.

One of the factors that make great companies so great is that they have processes that allow them to solve difficult problems again and again. These processes have developed over time as teams have successfully wrestled with a certain type of challenge. Eventually, people begin to say, "This is just how we do something around here." The problem develops when that team then has to solve a very different set of challenges. The processes that are such strengths can be crushing liabilities.

The important thing is that over time, scientific progress transforms things that used to have to be dealt with in a problem-solving mode down to the pattern-recognition space; and from pattern recognition into the rules-based mode. This is the mechanism by which less-trained people are enabled to do more sophisticated things. This is always the way disruption happens. It enables a larger population of less-experienced people to do more sophisticated things.