Sensory analysis in the food industry as a tool for marketing decisions
In the food industry, sensory analysis can be useful to direct marketing decisions concerning not only products, for example product positioning with respect to competitors, but also market segmentation, customer relationship management, advertising strategies and price policies. In this paper we show how interesting information useful for marketing management can be obtained by combining the results from <Emphasis Type="SmallCaps">cub models and algorithmic data mining techniques (specifically, variable importance measurements from Random Forest). A case study on sensory evaluation of different varieties of Italian espresso is presented. Copyright Springer-Verlag Berlin Heidelberg 2012
Year of publication: |
2012
|
---|---|
Authors: | Iannario, Maria ; Manisera, Marica ; Piccolo, Domenico ; Zuccolotto, Paola |
Published in: |
Advances in Data Analysis and Classification. - Springer. - Vol. 6.2012, 4, p. 303-321
|
Publisher: |
Springer |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Iannario, Maria, (2015)
-
Modeling rating data with Nonlinear CUB models
Manisera, Marica, (2014)
-
Alley‐oop! Basketball analytics in R
Zuccolotto, Paola, (2021)
- More ...