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Seeing what's next: using the theories of innovation to predict industry change
Every day, individuals take action based on how they believe innovation will change industries. Yet these beliefs are largely based on guesswork and incomplete data and lead to costly errors in judgment. Now, internationally renowned innovation expert Clayton M. Christensen and his research partners...
Autores principales: | , , |
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Lenguaje: | eng |
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Harvard Business Review Press
2004
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Acceso en línea: | http://cds.cern.ch/record/2663744 |
_version_ | 1780961769175384064 |
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author | Christensen, Clayton M Anthony, Scott D Roth, Erik A |
author_facet | Christensen, Clayton M Anthony, Scott D Roth, Erik A |
author_sort | Christensen, Clayton M |
collection | CERN |
description | Every day, individuals take action based on how they believe innovation will change industries. Yet these beliefs are largely based on guesswork and incomplete data and lead to costly errors in judgment. Now, internationally renowned innovation expert Clayton M. Christensen and his research partners Scott D. Anthony and Erik A. Roth present a groundbreaking framework for predicting outcomes in the evolution of any industry. Based on proven theories outlined in Christensen's landmark books The Innovator's Dilemma and The Innovator's Solution, Seeing What's Next offers a practical, three-part model that helps decision-makers spot the signals of industry change, determine the outcome of competitive battles, and assess whether a firm's actions will ensure or threaten future success. Through in-depth case studies of industries from aviation to health care, the authors illustrate the predictive power of innovation theory in action. |
id | cern-2663744 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2004 |
publisher | Harvard Business Review Press |
record_format | invenio |
spelling | cern-26637442021-04-21T18:30:11Zhttp://cds.cern.ch/record/2663744engChristensen, Clayton MAnthony, Scott DRoth, Erik ASeeing what's next: using the theories of innovation to predict industry changeInformation Transfer and ManagementEvery day, individuals take action based on how they believe innovation will change industries. Yet these beliefs are largely based on guesswork and incomplete data and lead to costly errors in judgment. Now, internationally renowned innovation expert Clayton M. Christensen and his research partners Scott D. Anthony and Erik A. Roth present a groundbreaking framework for predicting outcomes in the evolution of any industry. Based on proven theories outlined in Christensen's landmark books The Innovator's Dilemma and The Innovator's Solution, Seeing What's Next offers a practical, three-part model that helps decision-makers spot the signals of industry change, determine the outcome of competitive battles, and assess whether a firm's actions will ensure or threaten future success. Through in-depth case studies of industries from aviation to health care, the authors illustrate the predictive power of innovation theory in action.Harvard Business Review Pressoai:cds.cern.ch:26637442004 |
spellingShingle | Information Transfer and Management Christensen, Clayton M Anthony, Scott D Roth, Erik A Seeing what's next: using the theories of innovation to predict industry change |
title | Seeing what's next: using the theories of innovation to predict industry change |
title_full | Seeing what's next: using the theories of innovation to predict industry change |
title_fullStr | Seeing what's next: using the theories of innovation to predict industry change |
title_full_unstemmed | Seeing what's next: using the theories of innovation to predict industry change |
title_short | Seeing what's next: using the theories of innovation to predict industry change |
title_sort | seeing what's next: using the theories of innovation to predict industry change |
topic | Information Transfer and Management |
url | http://cds.cern.ch/record/2663744 |
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