Store choice and patronage: a predictive modelling approach

Moutinho, L. and Hutcheson, G.D. (2007) Store choice and patronage: a predictive modelling approach. International Journal of Business Innovation and Research, 1(3), pp. 233-252. (doi: 10.1504/IJBIR.2007.012109)

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Abstract

Factor multinomial logistic regression and cluster analyses are used in combination to provide a predictive model of store patronage behaviour for consumers in Cardiff, Wales. A subset of variables and factors that are important for consumers when choosing a supermarket were used to provide a picture of each store's clientele. Multinomial logistic regression allowed an overall model of supermarket choice to be developed and also enabled comparisons to be made of individual supermarkets within the sample. A detailed picture of store patronage is presented along with predictions about store choice for a number of 'consumer clusters'. The results demonstrate the utility of the predictive multinomial models when used in conjunction with other analytical techniques and reinforce a number of studies that have investigated patronage behaviour.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Moutinho, Professor Luiz
Authors: Moutinho, L., and Hutcheson, G.D.
Subjects:H Social Sciences > HB Economic Theory
College/School:College of Social Sciences > Adam Smith Business School > Management
Journal Name:International Journal of Business Innovation and Research
ISSN:1751-0252
ISSN (Online):1751-0260

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