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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, Skovde. 56-60. |
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 |
Files in This Item:
File | Description | Size | Format | |
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OA Conference paper - Modelling customer preference heterogeneity to iPad attributes using a Finite Mixture procedure.pdf | Modelling customer preference heterogeneity to iPad attributes using a finite mixture procedure | 369.54 kB | Adobe PDF | View/Open |
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