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Even world-class companies, with powerful and proven business models, eventually discover limits to growth. That’s what makes emerging high-growth industries so attractive. With no proven formula for making a profit, these industries represent huge opportunities for the companies that are fast enough and smart enough to capture them first.
But building tomorrow’s businesses while simultaneously sustaining excellence in today’s demands a delicate balance. It is a mandatory quest, but one that is fraught with contradiction and paradox. Until now, there has been little practical guidance.
Based on an in-depth, multiyear research study of innovative initiatives at ten large corporations, Vijay Govindarajan and Chris Trimble identify three central challenges: forgetting yesterday’s successful processes and practices; borrowing selected resources from the core business; and learning how the new business can succeed. The authors make recommendations regarding staffing, leadership roles, reporting relationships, process design, planning, performance assessment, incentives, cultural norms, and much more.
Breakthrough growth opportunities can make or break companies and careers. Forget, Borrow, Learn is every leader’s guide to execution in unexplored territory.
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The rules are (in simplified, paraphrased form):
1. A powerful strategic idea is not enough to ensure success.
2. You need to forget irrelevant lessons that led to success in the traditional business.
3. Established companies can outperform start-ups in pursuing strategic innovation by leveraging the established businesses' key resources and assets.
4. Strategic experiments face more unknowns than known quantities.
5. The organization for strategic innovation should be built from the ground up to optimize that opportunity . . . and to avoid tainted loyalty and memories of the other businesses.
6. Only senior management can manage the inevitable conflicts between the old and new businesses.
7. The strategic innovation will need planning processes designed to maximize learning.
8. Keep the politics out of letting the innovative organization learn.
9. Focus the innovation organization on learning rather than near-term results.
10. Organizations can learn relevant skills to make strategic innovations easier to pursue and more successful.
To understand these points, I suggest that you begin with reading chapter ten. The book's overall message is pretty well buried in the earlier material. Also, the authors mainly provide examples of failure before chapter ten. It's easier to understand their thesis in terms of the challenging success of Analog Devices establishing the new technology of MEMS (microelectromechanical systems).
Each point is then developed in more detail in terms of another example earlier in the book. You can go back and read those chapters where you think you would like to know more. But many of the points are pretty obvious to anyone who has worked on strategic innovation in a large organization (such as rules 1, 2, 4, 6, 8-10).
One chapter that you should definitely read is chapter 9 which goes into the authors' approach to theory-based planning. Unlike much of the rest of the book which is a series of illustrated problems and failures in a few organizations, the ideas in this chapter have been tested out with hundreds of executives who have used a simulation exercise to learn how to organize strategic innovation efforts. If this chapter had been expanded into a whole book, I would have liked this effort better.
The book is easy to read and follow. There are many figures and tables that nicely elaborate on the text.
If you are interested in the idea of executed strategies for innovation, you should also read the works of Robert Kaplan and David Norton about how to use strategy maps and balanced scorecards for innovation execution.
Govindarajan and Trimble affirm the value of strategic experiments because they can have high revenue growth potential, focus on emerging or poorly defined industries, test an unproven business model, involve radical departure from existing business, require allocation of at least some existing assets and competencies, develop new knowledge and capabilities, create discontinuous rather than incremental value creation, have greater uncertainty across multiple functions, tend to be unprofitable for several quarters (or more), and offer little (if any) indication of performance, at least initially. In other words, strategic experiments can be messy and unpredictable. Why bother?
Govindarajan and Trimble suggest that strategic innovation is a process by which to test new, unproven, and significantly different answers to at least one of three fundamental questions: Who is the customer? What is the value offered to that customer? How is that value delivered? Presumably Govindarajan and Trimble agree that it is difficult (if not impossible) to manage what cannot be measured. Therefore, to their three questions I now presume to add two others: How to measure the value of what is offered? and then, How to measure the effectiveness of the delivery system? To obtain appropriate answers to each of these and other questions, experiments of various kinds are necessary. In my opinion, messiness and unpredictability seem a small price to pay, given the value of what can be learned from the experiments and then applied effectively within the given competitive marketplace.
Of special interest to me is the material which Govindarajan and Trimble provide with regard to three different challenges: “Forgetting” assumptions, mind-sets, and biases which may no longer be valid or even relevant; “Borrowing” assets and resources with concrete value; and “Learning” how to improve predictions of business performance. I appreciate Govindarajan and Trimble’s skillful use of two hypothetical companies, CoreCo and NewCo, which facilitate all manner of comparisons and contrasts which help to illustrate the various strategies and tactics which Govindarajan and Trimble recommend. For example, in Chapter One when explaining why strategic innovators need a different approach to execution, they examine the four elements of organizational DNA, cross-referencing CoreCo and NewCo to make their key points. Well-done!
With all due respect to the substance as well as eloquence of Govindarajan and Trimble’s narrative, I especially appreciate their use of various reader-friendly devices. For example, Figure 1-1 which lists “Ten characteristics of strategic experiments” (page xx in the Introduction); Table 2-4 which identifies the elements, choices, and results re “Outcomes of CMT’s initial organizational DNA (page 39); Table 5-1 which, when used in conjunction with Figure 5-5 which precedes it, enables the reader to assess the intensity of the borrowing challenge (page 87); and Table 9-4 which, when used with Figure 9-14 which precedes it, enables the reader to assess the intensity of the learning challenge (page 182).
For most decision-makers in most organizations (regardless of size or nature), Govindarajan and Trimble do indeed provide -- as indicated earlier -- a conceptual framework for a cohesive, comprehensive, and cost-effective program within which to formulate appropriate strategies. Organizational DNA may have to be re-wired in terms of staffing, structure, systems, and cultural values when facing the three challenges of forgetting, borrowing, and learning. Expect messiness, confusion, frustration, and -- yes -- setbacks while completing that immensely difficult process. Eventually, however, with total commitment of everyone involved, supported by sufficient resources (which include patience), the best of CoreCo can be combined with the best of NewCo.
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