The Disruption Dilemma
Joshua Gans
An expert in management takes on the conventional wisdom about disruption, looking at companies that proved resilient and offering managers tools for survival. “Disruption” is a business buzzword that has gotten out of control. Today everything and everyone seem to be characterized as disruptive—or, if they aren't disruptive yet, it's only a matter of time before they become so. In this book, Joshua Gans cuts through the chatter to focus on disruption in its initial use as a business term, identifying new ways to understand it and suggesting new tools to manage it. Almost twenty years ago Clayton Christensen popularized the term in his book The Innovator's Dilemma, writing of disruption as a set of risks that established firms face. Since then, few have closely examined his account. Gans does so in this book. He looks at companies that have proven resilient and those that have fallen, and explains why some companies have successfully managed disruption—Fujifilm and Canon, for example—and why some like Blockbuster and Encyclopedia Britannica have not.
Award History
1 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| PROSE Award for Business, Finance, and Management | 2017 | Winner | Official source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
None extracted with sufficient confidence.
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- Blockbuster36%
03 Suggested argument
“Disruption” as a business term has become a buzzword; understanding it in its initial meaning yields tools for managers to manage disruption risks faced by established firms.
Model confidence 62%
04 Reading orientation
42 / 100 academicTrade / academic crossover
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 74%.