Innovation: A data-driven approach

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@Article{Kusiak2009440,
  author =       "Andrew Kusiak",
  title =        "Innovation: A data-driven approach",
  journal =      "International Journal of Production Economics",
  volume =       "122",
  number =       "1",
  pages =        "440--448",
  year =         "2009",
  note =         "Transport Logistics and Physical Distribution;
                 Interlocking of Information Systems for International
                 Supply and Demand Chains Management; ICPR19",
  ISSN =         "0925-5273",
  DOI =          "doi:10.1016/j.ijpe.2009.06.025",
  URL =          "http://www.sciencedirect.com/science/article/B6VF8-4WKTWVR-2/2/73fdc80f743b54ffb2f1449b44d434cd",
  keywords =     "genetic algorithms, genetic programming, Innovation
                 science, Data mining, Innovation rules, Innovation
                 framework, Evolutionary computation",
  abstract =     "A newly introduced product or service becomes an
                 innovation after it has been proven in the market. No
                 one likes the fact that market failures of products and
                 services are much more common than commercial
                 successes. A data-driven approach to innovation is
                 proposed. It is a natural extension of the system of
                 customer requirements in terms of their number and type
                 and the ways of collecting and processing them. The
                 ideas introduced in this paper are applicable to the
                 evaluation of the innovativeness of planned
                 introductions of design changes and design of new
                 products and services. In fact, blends of products and
                 services could be the most promising way of bringing
                 innovations to the market. The most important toll
                 gates of innovation are the generation of new ideas and
                 their evaluation. People have limited ability to
                 generate and evaluate a large number of potential
                 innovation alternatives. The proposed approach is
                 intended to evaluate many alternatives from a market
                 perspective.",
}

Genetic Programming entries for Andrew Kusiak

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