How Will You Measure Your Life?. James Allworth
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Название: How Will You Measure Your Life?

Автор: James Allworth

Издательство: HarperCollins

Жанр: Поиск работы, карьера

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isbn: 9780007449163

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СКАЧАТЬ style="font-size:15px;">      There are probably dozens of well-intended people who have advice for how you should live your life, make your career choices, or make yourself happy. Similarly, walk into the self-help section of any bookstore and you’ll be overwhelmed with scores of choices about how you can improve your life. You know, intuitively, that all these books can’t be right. But how can you tell them apart? How do you know what is good advice—and what is bad?

      The Difference Between What to Think and How to Think

      There are no easy answers to life’s challenges. The quest to find happiness and meaning in life is not new. Humans have been pondering the reason for our existence for thousands of years.

      What is new, however, is how some modern thinkers address the problem. A bevy of so-called experts simply offer the answers. It’s not a surprise that these answers are very appealing to some. They take hard problems—ones that people can go through an entire life without ever resolving—and offer a quick fix.

      That is not what I intend with this book. There are no quick fixes for the fundamental problems of life. But I can offer you tools that I’ll call theories in this book, which will help you make good choices, appropriate to the circumstances of your life.

      I learned about the power of this approach in 1997, before I published my first book, The Innovator’s Dilemma. I got a call from Andy Grove, then the chairman of Intel. He had heard of one of my early academic papers about disruptive innovation, and asked me to come to Santa Clara to explain my research and tell him and his top team what it implied for Intel. A young professor, I excitedly flew to Silicon Valley and showed up at the appointed time, only to have Andy say, “Look, stuff has happened. We have only ten minutes for you. Tell us what your research means for Intel, so we can get on with things.”

      I responded, “Andy, I can’t, because I know very little about Intel. The only thing I can do is to explain the theory first; then we can look at the company through the lens that the theory offers.” I then showed him a diagram of my theory of disruption. I explained that disruption happens when a competitor enters a market with a low-priced product or service that most established industry players view as inferior. But the new competitor uses technology and its business model to continually improve its offering until it is good enough to satisfy what customers need. Ten minutes into my explanation, Andy interrupted impatiently: “Look, I’ve got your model. Just tell us what it means for Intel.”

      I said, “Andy, I still can’t. I need to describe how this process worked its way through a very different industry, so you can visualize how it works.” I told the story of the steel-mill industry, in which Nucor and other steel mini-mills disrupted the integrated steel-mill giants. The mini-mills began by attacking at the lowest end of the market—steel reinforcing bar, or rebar—and then step by step moved up toward the high end, to make sheet steel—eventually driving all but one of the traditional steel mills into bankruptcy.

      When I finished the mini-mill story, Andy said, “I get it. What it means for Intel is …” and then went on to articulate what would become the company’s strategy for going to the bottom of the market to launch the lower-priced Celeron processor.

      I’ve thought about that exchange a million times since. If I had tried to tell Andy Grove what he should think about the microprocessor business, he would have eviscerated my argument. He’s forgotten more than I will ever know about his business.

      But instead of telling him what to think, I taught him how to think. He then reached a bold decision about what to do, on his own.

      I Don’t Have an Opinion, the Theory Has an Opinion

      That meeting with Andy changed the way I answer questions. When people ask me something, I now rarely answer directly. Instead, I run the question through a theory in my own mind, so I know what the theory says is likely to be the result of one course of action, compared to another. I’ll then explain how it applies to their question. To be sure they understand it, I’ll describe to them how the process in the model worked its way through an industry or situation different from their own, to help them visualize how it works. People, typically, then say, “Okay, I get it.” They’ll then answer their question with more insight than I could possibly have.

      A good theory doesn’t change its mind: it doesn’t apply only to some companies or people, and not to others. It is a general statement of what causes what, and why. To illustrate, about a year after meeting with Andy Grove, I received a call from William Cohen, then–secretary of defense in the Clinton administration. He told me he’d read The Innovator’s Dilemma. “Could you come to Washington and talk to me and my staff about your research?” he asked. To me, this was a once-in-a-lifetime opportunity.

      When Secretary Cohen had said “my staff,” somehow I had imagined second lieutenants and college interns. But when I walked into the secretary’s conference room, the Joint Chiefs of Staff were in the front row, followed by the secretaries of the Army, Navy, and Air Force, and then each of the secretaries’ under-, deputy, and assistant secretaries. I was stunned. He said that this was the first time he had convened all of his direct reports in one room.

      Secretary Cohen simply asked me to present my research. So using the exact same PowerPoint slides I had used with Andy Grove, I started explaining the theory of disruption. As soon as I had explained how the mini-mills had undermined the traditional steel industry by starting with rebar at the bottom, General Hugh Shelton, then the chairman of the Joint Chiefs of Staff, stopped me. “You have no idea why we are interested in this, do you?” he queried. Then he gestured to the mini-mill chart. “You see the sheet steel products at the top of the market?” he asked. “That was the Soviets, and they’re not the enemy anymore.” Then he pointed to the bottom of the market—rebar—and said, “The rebar of our world is local policing actions and terrorism.” Just as the mini-mills had attacked the massive integrated mills at the bottom of the market and then moved up, he worried aloud, “Everything about the way we do our jobs is focused on the high end of the problem—what the USSR used to be.”

      Once I understood why I was there, we were able to discuss what the result of fighting terrorism from within the existing departments would be, versus setting up a completely new organization. The Joint Chiefs later decided to go down the route of forming a new entity, the Joint Forces Command, in Norfolk, Virginia. For more than a decade, this command served as a “transformation laboratory” for the United States military to develop and deploy strategies to combat terrorism around the world.

      On the surface, competition in the computer chip market and the proliferation of global terrorism could not seem like more different problems to tackle. But they are fundamentally the same problem, just in different contexts. Good theory can help us categorize, explain, and, most important, predict.

      People often think that the best way to predict the future is by collecting as much data as possible before making a decision. But this is like driving a car looking only at the rear-view mirror—because data is only available about the past.

      Indeed, while experiences and information can be good teachers, there are many times in life where we simply cannot afford to learn on the job. You don’t want to have to go through multiple marriages to learn how to be a good spouse. Or wait until your last child has grown to master parenthood. This is why theory can be so valuable: it can explain what will happen, even before you experience it.

      Consider, for example, the history of mankind’s attempts to fly. Early researchers observed strong correlations between being able to fly and having feathers and wings. Stories of men attempting to fly by strapping on wings date back hundreds of years. They were replicating what they believed allowed birds to soar: wings and feathers.

      Possessing these attributes СКАЧАТЬ