Quantitative Modelling in Marketing and Management

Quantitative Modelling in Marketing and Management

eBook - 2015
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World Scientific Pub Co Inc
The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques.The first edition of "Quantitative Modelling in Marketing and Management" focused on the description and applications of many quantitative modelling approaches applied to marketing and management. The topics ranged from fuzzy logic and logical discriminant models to growth models and k-clique models.The second edition follows the thread of the first one by covering a myriad of techniques and applications in the areas of statistical, computer, mathematical as well as other novel nomothetic methods. It greatly reinforces the areas of computer, mathematical and other modeling tools that are designed to bring a level of awareness and knowledge among academics and researchers in marketing and management, so that there is an increase in the application of these new approaches that will be embedded in future scholarly output.

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The 21 chapters in this volume detail the application of quantitative modeling methods to marketing and management, describing key features and potential uses. Business, economics, and other researchers from the US, Asia, and Europe cover applications of statistical modeling, including multidimensional scaling models, structural equation modeling, partial least squares path models, and statistical model selection; computer modeling, including the comparison of artificial neural networks and structural equation modeling, the application of artificial neural networks, the use of a non-parametric test with fuzzy data, and fuzzy measurement; and mathematical and other models, including qualitative comparative analysis, growth models, preference ranking, the organization method for enrichment evaluations, data mining process models, and clique communities. This edition has new topics like virtual reality, Bayesian prediction with linear dynamic models, metaheuristics, the Memetic algorithm, stream-based classification, and matching technologies. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)

Publisher: New Jersey :, World Scientific,, [2015]
Edition: 2nd edition
ISBN: 9789814696357
9814696358
981469634X
9789814696340
Characteristics: 1 online resource
Additional Contributors: Huarng, Kun-Huang
Moutinho, Luiz

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