Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Christensen, Clayton M, Anthony, Scott D, Roth, Erik A
Lenguaje:eng
Publicado: Harvard Business Review Press 2004
Materias:
Acceso en línea:http://cds.cern.ch/record/2663744
_version_ 1780961769175384064
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
work_keys_str_mv AT christensenclaytonm seeingwhatsnextusingthetheoriesofinnovationtopredictindustrychange
AT anthonyscottd seeingwhatsnextusingthetheoriesofinnovationtopredictindustrychange
AT rotherika seeingwhatsnextusingthetheoriesofinnovationtopredictindustrychange