The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way weve taught managers to make decisions and consultants to analyze problems condemns them to taking action when its too late.

Capitalism has taught us that markets are always more efficient than hierarchical managerial coordination. But in a situation where those three conditions aren't met, I can't outsource or partner with you because markets don't function in the absence of sufficient information.

There's usually some process by which a potentially great idea gets prostituted into something lacklustre, or by which the wrong idea gets put forward.

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.

Year after year after year, people write books about managing innovation or about leadership, for example, without ever going through the pain of saying, "This kind of leadership will cause this result in these circumstances and a very different result in those circumstances." This is academic malpractice of the worst kind.

If you defer investing your time and energy until you see that you need to, chances are it will already be too late.

One quarter of Medicare beneficiaries have five or more chronic conditions, sees an average of 13 physicians each year, and fills 50 prescriptions per year.