New PDF release: Marketing Intelligent Systems Using Soft Computing:

By Berend Wierenga (auth.), Jorge Casillas, Francisco J. Martínez-López (eds.)

ISBN-10: 3642156053

ISBN-13: 9783642156052

The good fortune of businesses is partially depending on the iteration of compatible wisdom upon which to base decision-making, and thanks to the centrality of the promoting functionality in firms, marketing-related wisdom is of strategic relevance. during this connection, it truly is not likely to arrive an entire figuring out of any set of structures assisting advertising and marketing administration with out paying the mandatory cognizance to the synthetic Intelligence-based methodologies utilized to assist marketing-related judgements. even though, as but those tools are either under-developed and under-used. This e-book represents a outstanding and inventive breakthrough during this admire. The editorial venture has specially interested by the so-called advertising clever structures, a state-of-the-art classification for advertising administration aid that makes a speciality of a cosmopolitan remedy of data through delicate Computing and different desktop studying innovations. The reader will locate shrewdpermanent reflections in this common subject matter from various world-leading advertising teachers via brief essays, and a set of chapters dedicated to various purposes – segmentation, modeling, e-commerce, and so on. – utilizing diversified applied sciences corresponding to clustering, evolutionary algorithms, multi-agent platforms, or fuzzy logic.

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Additional info for Marketing Intelligent Systems Using Soft Computing: Managerial and Research Applications

Sample text

However, the model stress is 0,41110 and the square correlation is 0,20971, which means that we have to be cautious about accepting this model. We represent all categories in the multidimensional space as showed in the Figure 1. The first cluster in the Figure 1 is comprises cornflakes, ham, butter and cheese. These products are usually bought together and buyers who require one stop shopping might get a better experience from this categories layout. One can see in the cluster 1 a breakfast consumption universe.

21–26. com © Springer-Verlag Berlin Heidelberg 2010 22 J. Roberts Marketing may be regarded as harnessing the resources of the organization to address the needs of its target customers, given the marketplace environment in which it competes (the top arrow in Figure 1). George Day calls this process “customer linking” (Day 1994). Actions in the top right box can be analyzed either from an internal perspective in terms of the products and services of the organization and the marketing mix that supports them, or externally in terms of its customers: how it attracts, retains and maximizes the value it provides to and captures from them.

This will occur in a variety of situations. With lumpy investment decisions based on forecasts of consumer demand, over- and under-forecasts are likely to lead to very different consequences. Over-estimating demand is likely to lead to idle equipment and capital, while under-estimation will cause foregone contribution and possible customer dissatisfaction. Risk aversion on the part of the manager is another factor that will lead to asymmetric loss functions (Wehrung and Maccrimmon 1986). Finally, the presence of multiple decisions will lead to a requirement to study the whole distribution of customer outcomes, not just the mean.

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Marketing Intelligent Systems Using Soft Computing: Managerial and Research Applications by Berend Wierenga (auth.), Jorge Casillas, Francisco J. Martínez-López (eds.)


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