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  1. Person pages list letters, writing, profiles and links as sortable tables with filters, and show each person's companies as links; Fund letters show each letter's description in its own column.
  2. Experts show a checked job title and a short description of each person; 30 more people have photographs.
  3. Every company, fund, university and publication the experts work for has a page listing the people there.
  4. Fund letters show each letter's thesis and filter by it; 225 person pages list the essays, columns and newsletter issues the person wrote.
  5. Person pages list every essay and newsletter issue a person wrote, and their own books as a table in List view.
  6. Recommends shows the five largest kinds of book and the rest under More; browse pictures load sooner.
  7. Podcasts and talks link the original episode, filter by Audio and video or Press, and list each publisher once.
  8. Pages are wider, Recommends has List and Grid, and a filter clicked again turns off.
  9. Book cards sit in a ruled grid with Open Library and Goodreads links and each book's one-line note.
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  11. Podcasts and talks on a person's page filter by year and publisher and show as a list or a grid of pictures.
  12. Quotes show only people's own words: 472 summaries written by list sites are gone.
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Seeing What's Next

Seeing What's Next

Clayton Christensen, Scott D. Anthony, Erik A. Roth
2004
T4 312 pages · about 5h 12m to read Open Librarygoodreads

Summary

Christensen, Anthony and Roth apply the disruption theory from The Innovator's Dilemma and The Innovator's Solution to the problem of forecasting industry change, arguing that theory allows you to predict which competitors will win without predicting the future.

The method has three parts. Identify signals of change, meaning non-consuming populations who lack the skill or money to use the existing product, over-served customers for whom the product already does more than they need, and asymmetries in what incumbents are motivated to do. Assess competitive battles by asking whether an entrant's approach is disruptive relative to each incumbent, since the same innovation is disruptive to one firm and sustaining to another, and whether the incumbent's business model can accommodate a response. And evaluate strategic choices including the firm's resources, processes and values, its market segmentation, and whether it can create a separate organisation for the disruptive business.

They then apply the framework to five industries: education, aviation, semiconductors, health care and telecommunications, with predictions for each, and to national economic development.

The forecasting record is mixed. The health care and education predictions have been partly borne out and partly not, and disruption theory generally has faced substantial empirical challenge since, including Jill Lepore's critique and quantitative work finding the theory's predictions no better than chance in several samples. The method's value is as a structured way of asking who is motivated to respond and who is not, which is useful independently of whether the predictions hold.

Key takeaways 7

  1. Theory allows prediction of which competitors will win without requiring prediction of what the future will look like.
  2. The same innovation is disruptive relative to one incumbent and sustaining relative to another, so disruption is a relationship rather than a property.
  3. Non-consumption, meaning populations who lack the skill or money to use the existing product, is where disruptive entrants begin.
  4. Over-served customers, for whom the product already exceeds their needs, are where an incumbent's improvements stop earning a premium.
  5. An incumbent's response is determined by what its business model motivates it to do rather than by what its management can see.
  6. A firm cannot pursue a disruptive business inside the organisation serving its existing customers, because the resource allocation process will starve it.
  7. Disruption theory has faced substantial empirical challenge, and its predictive record in tested samples has not been better than chance.

Who should read it

Executives and investors assessing competitive threats who want a structured method for asking who is motivated to respond, with the theory's record noted.

About Clayton Christensen

Kim B. Clark Professor of Business Administration, Harvard Business School 1992-2020; co-founder of Innosight, Rose Park Advisors and the Clayton Christensen Institute; died 23 January 2020

The Innovator's Dilemma turned disruption into a primary framework that the rest of the strategy and innovation literature argues with rather than around.

Harvard Business School, Innosight, Rose Park Advisors, Clayton Christensen Institute

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