If You Ask The Average Guy On

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.

You Can't Find Returns In Investments You Haven't Made.

How Could Digital's Collapse Be So Precipitous? It's Because, In Many Ways, Financial Performance Data Is Misleading. As You Move Up To The Top Of The Market, You're Getting Rid Of The Less Profitable Products At The Low End And Adding Business With More Attractive Margins At The High End. The Rate Of Unit Volume Growth Might Be Tapering Off As You Pursue These Smaller Markets, But Your Margins Actually Look Better. So Wall Street Rewards Your Stock Price Until You Hit The Ceiling.

Only The General Manager Can Mold The Resources, Processes, And Values That Affect Innovation , Into A Coherent Capability To Develop And Launch Superior New Products And Services Repeatedly.