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Seeing what's next: Using the theories of innovation to predict industry change
Abstract
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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Citations
Cited by
Lessons from 60 years of pharmaceutical innovation
Munos, B. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2961 · Cited by 1,207
Disruptive Innovation: An Intellectual History and Directions for Future Research
Christensen, C. M., McDonald, R., Altman, E. J., & Palmer, J. E. (2018) · Journal of Management Studies · doi:10.1111/joms.12349 · Cited by 789
Self-citationAlvarez, S. A., Barney, J. B., & Anderson, P. (2013) · Organization Science · doi:10.1287/orsc.1110.0727 · Cited by 572
The disruptor's dilemma: TiVo and the U.S. television ecosystem
Ansari, S. (., Garud, R., & Kumaraswamy, A. (2016) · Strategic Management Journal · doi:10.1002/smj.2442 · Cited by 556
Bergek, A., Berggren, C., Magnusson, T., & Hobday, M. (2013) · Research Policy · doi:10.1016/j.respol.2013.02.009 · Cited by 396
Metadata
- Authors
- Christensen, C. M., Anthony, S. D., Roth, E. A., & Kaufman, R.
- Venue
- Performance Improvement
- Published
- 2005-04
- Volume
- 44
- Issue
- 4
- Pages
- 50-51
- ISSN
- 1090-8811 (ISSN-L)
- 1930-8272
- OpenAlex
- W2029454961
- Cited by
- 622
- References
- 0
- FWCI
- 126.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- Christensen, C. M., Anthony, S. D., Roth, E. A., & Kaufman, R. (2005). Seeing what's next: Using the theories of innovation to predict industry change. Performance Improvement. https://doi.org/10.1002/pfi.4140440412
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
