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.

The outsourcing gurus have been driving the theory, and they are saying everybody ought always to do this. But it is really contingent on where you are on the spectrum from "not good enough" to "more than good enough," relative to each tier of the market.

If a company truly wants to resolve the innovator's dilemma, it does need to be able to create wave after wave of disruptive innovation. And those disruptive innovations will typically grow to the point where they do cause some pain for leading companies. But most disruptive innovations create substantial new growth before they cause that pain.

Doing deals doesn't yield the deep rewards that come from building up people.

If you want to make better theory, you've got to use the best that's available and look through the lens of another discipline to see if you can uncover more anomalies. By looking at the phenomena of failure from the perspective of sales, marketing, finance, general management, and the equity markets, I was able to see things that Rebecca [Henderson] hadn't.

If you take away religion, you can't hire enough police.

A lot has been written about the Internet bust. From my point of view, it's quite clear the Internet isn't a category; the Internet is a technological infrastructure that can be deployed to facilitate a disruptive business model or a sustaining business model.