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Lieu : Boston, Massachusetts, États-Unis
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Numéro de l'objet eBay :127206850732
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Caractéristiques de l'objet
- État
- Narrative Type
- Nonfiction
- Intended Audience
- Adult
- Inscribed
- NO
- ISBN
- 9781591391852
À propos de ce produit
Product Identifiers
Publisher
Harvard Business Review Press
ISBN-10
1591391857
ISBN-13
9781591391852
eBay Product ID (ePID)
6053702
Product Key Features
Book Title
Seeing What's Next : Using the Theories of Innovation to Predict Industry Change
Number of Pages
352 Pages
Language
English
Publication Year
2004
Topic
Personal Success, Nanotechnology & Mems, General, Management
Illustrator
Yes
Genre
Technology & Engineering, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.4 in
Item Weight
23.2 Oz
Item Length
9.5 in
Item Width
6.5 in
Additional Product Features
Intended Audience
Trade
LCCN
2004-004399
Dewey Edition
22
Dewey Decimal
658.4/0355
Table Of Content
Section I: How to Use Theory to Analyze 1) Signals of Change; Where are the Opportunities? 2) Competitive Battles: How to Size Up Competitors 3) Firm Choices: Identifying What Choices Matter 4) Non-Market Factors Influence Innovation Section II: Theory-Based Analysis 5) Disruptive Diplomas - The Future of Education 6) Disruption Spreads Its Wings - The Future of Aviation 7) Whither Moore's Law? - The Future of Semiconductors 8) Healing the 800-Pound Gorilla - The Future of Health Care 9) Innovation Overseas - Using Theory to Assess Corporate and Country Strategies 10) Breaking the Wire - The Future of Telecommunications Conclusion: What's Next Appendix Glossary Index About the Authors
Synopsis
This book argues that it is possible to predict which companies will win and which will lose in a specific situation-and provides a practical framework for doing so., 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.
LC Classification Number
HD30.28.C54 2004
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