9781591391852-1591391857-Seeing What's Next: Using Theories of Innovation to Predict Industry Change

Seeing What's Next: Using Theories of Innovation to Predict Industry Change

ISBN-13: 9781591391852
ISBN-10: 1591391857
Edition: First Edition
Author: Clayton M. Christensen, Scott D. Anthony, Erik A. Roth
Publication date: 2004
Publisher: Harvard Business Review Press
Format: Hardcover 352 pages
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Book details

ISBN-13: 9781591391852
ISBN-10: 1591391857
Edition: First Edition
Author: Clayton M. Christensen, Scott D. Anthony, Erik A. Roth
Publication date: 2004
Publisher: Harvard Business Review Press
Format: Hardcover 352 pages

Summary

Seeing What's Next: Using Theories of Innovation to Predict Industry Change (ISBN-13: 9781591391852 and ISBN-10: 1591391857), written by authors Clayton M. Christensen, Scott D. Anthony, Erik A. Roth, was published by Harvard Business Review Press in 2004. With an overall rating of 3.5 stars, it's a notable title among other Theory (Economics, Management, Management & Leadership, Planning & Forecasting, New Business Enterprises, Small Business & Entrepreneurship, Engineering, Nanotechnology, Technology) books. You can easily purchase or rent Seeing What's Next: Using Theories of Innovation to Predict Industry Change (Hardcover) from BooksRun, along with many other new and used Theory books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.5.

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.

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