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From drones to wearable technology to Hyperloop pods that can potentially travel more than seven hundred miles per hour, we're fascinated with new products and technologies that seem to come straight out of science fiction. But, innovations are not only fascinating, they're polarizing, as, all too quickly, skepticism regarding their commercial viability starts to creep in. And while fortunes depend on people's ability to properly assess their prospects for success, no one can really agree on how to do it, especially for truly radical new products and services. In Innovation Equity, Elie Ofek, Eitan Muller, and Barak Libai analyze how a vast array of past innovations performed in the marketplace—from their launch to the moment they became everyday products to the phase where consumers moved on to the "next big thing." They identify key patterns in how consumers adopt innovations and integrate these with marketing scholarship on how companies manage their customer base by attracting new customers, keeping current customers satisfied, and preventing customers from switching to competitors' products and services. In doing so, the authors produce concrete models that powerfully predict how the marketplace will respond to innovations, providing a much more authoritative way to estimate their potential monetary value, as well as a framework for making it possible to achieve that value

"From drones to wearable technology to Hyperloop pods that can potentially travel more than seven hundred miles per hour, we're fascinated with new products and technologies that seem to come straight out of science fiction. But, innovations are not only fascinating, they're polarizing, as, all too quickly, skepticism regarding their commercial viability starts to creep in. And while fortunes depend on people's ability to properly assess their prospects for success, no one can really agree on how to do it, especially for truly radical new products and services. In Innovation Equity, Elie Ofek, Eitan Muller, and Barak Libai analyze how a vast array of past innovations performed in the marketplace--from their launch to the moment they became everyday products to the phase where consumers moved on to the "next big thing." They identify key patterns in how consumers adopt innovations and integrate these with marketing scholarship on how companies manage their customer base by attracting new customers, keeping current customers satisfied, and preventing customers from switching to competitors' products and services. In doing so, the authors produce concrete models that powerfully predict how the marketplace will respond to innovations, providing a much more authoritative way to estimate their potential monetary value, as well as a framework for making it possible to achieve that value."--Provided by publisher.

If the class of admissible preference orderings is restricted in a manner appropriate for economic & political models, then K. J. Arrow's (Social Choice and Individual Values, New York: Wiley, 1963) impossibility theorem for social welfare function continues to be valid. Specifically, if the space of alternatives is R****, n(greater than or equal to) 3, where each dimension represents a different public good, & if each person's preferences are restricted to be convex, continuous, & strictly monotonic, then no social welfare function exists that satisfies unanimity, independence of irrelevant alternatives, & nondictatorship. 1 Figure. HA.

ABSTRACTIn this article, we propose a new product positioning method based on the neural network methodology of a self‐organizing map. The method incorporates the concept of rings of influence, where a firm evaluates individual consumers and decides on the intensity to pursue a consumer, based on the probability that this consumer will purchase a competing product. The method has several advantages over earlier work. First, no limitations are imposed on the number of competing products and second, the method can position multiple products in multiple market segments. Using simulations, we compare the new product positioning method with a quasi‐Newton method and find that the new method always approaches the best solution obtained by the quasi‐Newton method. The quasi‐Newton method, however, is dependent on the initial positions of the new products, with the majority of cases ending in a local optimum. Furthermore, the computational time required by the quasi‐Newton method increases exponentially, while the time required by the new method is small and remains almost unchanged, when the number of new products positioned increases. We also compute the expected utility that a firm will provide consumers by offering its products. We show that as the intensity with which a firm pursues consumers increases, the new method results in near‐optimal solutions in terms of market share, but with higher expected utility provided to consumers when compared to that obtained by a quasi‐Newton method. Thus, the new method can serve as a managerial decision‐making tool to compare the short‐term market share objective with the long‐term expected utility that a firm will provide to consumers, when it positions its products and intensifies its effort to attract consumers away from competition.