The biggest mistake is an over-reliance on data. Managers will say if there are no data they can take no action. However, data only exist about the past. By the time data become conclusive, it is too late to take actions based on those conclusions.

In the study of management, unfortunately, many writers have been so anxious to articulate a theory in the form of, "If you do this, this will result," that they never go through this careful effort.

One reason there are so many short-lived management fads is that their prescriptions were derived and advocated in precisely this way. So managers read about a fad and try it, find that it doesn't work, abandon the effort, and move on to the next thing. In reality, it is usually the case that the faddish prescription was indeed sound advice in certain circumstances, but actually was poor advice in other circumstances.

You can't find returns in investments you haven't made.

Investing in our people is going to be costly and scarce - we need to start doing that!

Breaking an old business model is always going to require leaders to follow their instinct. There will always be persuasive reasons not to take a risk. But if you only do what worked in the past, you will wake up one day and find that you’ve been passed by.

By the time it becomes obvious that a technology will have truly disruptive impact, it is often too late to take action. This is one reason why we are such advocates of using theory to try to analyze industry change. Conclusive evidence that proves that a company needs to take action almost never exists. In fact, the data can fool management, lulling them into a false sense of security.