Don't worry about the level of individual prominence you have achieved; worry about the individuals you have helped become better people.

Lets take the best of our ideas from Global Drucker Forum, and the best of our language, and then focus and clarify.

Disruptive technology is a theory. It says this will happen and this is why; it's a statement of cause and effect. In our teaching we have so exalted the virtues of data-driven decision making that in many ways we condemn managers only to be able to take action after the data is clear and the game is over. In many ways a good theory is more accurate than data. It allows you to see into the future more clearly.

Innovation almost always is not successful the first time out. You try something and it doesn't work and it takes confidence to say we haven't failed yet. Ultimately you become commercially successful.

We are all trained to be data driven people, but no hard data exist about the future. Therefore, the only way to look into the future with any degree of accuracy is to use theory, statements of what causes what and why. If executives have the right theories in their heads, they can very quickly interpret market developments. They can identify what matters and why, and act accordingly. So we suggest decision-makers should start by gaining a deep understanding of the relevant collection of theories, and then be alert for signals that indicate certain types of developments.

We have found that companies need to speak a common language, because some of the suggested ways to harness disruptive innovation are seemingly counter-intuitive. If companies don't have that common language, it is hard for them to come to consensus on a counter-intuitive course of action.

An innovation will get traction only if it helps people get something that they're already doing in their lives done better.