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.

Motivation is the catalyzing ingredient for every successful innovation. The same is true for learning.

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.

Government mandates, incidentally, are likely to distort rather than solve the problem of finding a market. I would, therefore, force my organization to live by its wits rather than to rely on capricious subsidies or non-economic-based regulation to fuel my business.

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.

We decided that humility was defined not by self-deprecating behavior or attitudes but by the esteem with which you regard others... Generally, you can be humble only if you feel really good about yourself - and you want to help those around you feel really good about themselves, too.

...it's easier to hold to your principles 100% of the time than it is to hold to them 98% of the time.