Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/19185
Title: Modelling customer preference heterogeneity to iPad attributes using a finite mixture procedure
Authors: Camilleri, Liberato
Lia, Keith
Keywords: Market segmentation
Expectation-maximization algorithms
Latent structure analysis
Mixture distributions (Probability theory)
Issue Date: 2014
Publisher: European Technology Institute
Citation: Camilleri, L., & Lia, K. (2014). Modelling customer preference heterogeneity to iPad attributes using a finite mixture procedure. 12th Annual Industrial Simulation Conference, Skövde. 1-5.
Abstract: The identification of segments in strategic market planning has long been recognized as a powerful tool to understand consumer behaviour. An approach that has managerial appeal in addressing market heterogeneity is by assuming that customers can be grouped in a number of unobserved homogeneous segments where customers in each cluster have similar purchasing behaviours. This paper describes the different procedures in affecting market segmentation focusing more on the Finite Mixture approach, while the application addresses heterogeneity issues in customer preferences when purchasing iPads given demographic and product-related predictors.
URI: https://www.um.edu.mt/library/oar//handle/123456789/19185
ISBN: 9789077381830
Appears in Collections:Scholarly Works - FacSciSOR

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