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  1. First, disruptive products are simpler and cheaper; they generally promise lower margins, not greater profits. Second, disruptive technologies typically are first commercialized in emerging or insignificant b https://pharmacieinde.fr/cialis-sans-ordonnance. And third, leading firms’ most profitable customers generally don’t want, and indeed initially can’t use, products based on disruptive technologies. By and large, a disruptive technology is initially embraced by the least profitable customers in a market.

    1. Amid all the uncertainty surrounding disruptive technologies, managers can always count on one anchor: Experts’ forecasts will always be wrong. It is simply impossible to predict with any useful degree of precision how disruptive products will be used or how large their markets will be (124)

    2. First, the attributes that make disruptive products worthless in mainstream markets typically become their strongest selling points in emerging markets; and second, disruptive products tend to be simpler, cheaper, and more reliable and convenient than established products. (149)

    3. the product evolution model, called the buying hierarchy by its creators, Windermere Associates of San Francisco, California, which describes as typical the following four phases: functionality, reliability, convenience, and price (149)

    4. To measure market needs, I would watch carefully what customers do, not simply listen to what they say. Watching how customers actually use a product provides much more reliable information than can be gleaned from a verbal interview or a focus group (160)

    5. First, I would acknowledge that, by definition, electric vehicles cannot initially be used in mainstream applications because they do not satisfy the basic performance requirements of that market. The second point on which I would base my marketing approach is that no one can learn from market research what the early market(s) for electric vehicles will be. I can hire consultants, but the only thing I can know for sure is that their findings will be wrong. The third point is that my business plan must be a plan for learning, not one for executing a preconceived strategy. (162)

    6. Plan for failure. Don’t bet all your resources on being right the first time. Think of your initial efforts at commercializing a disruptive technology as learning opportunities. Make revisions as you gather data. (177)

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