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Store patronage : the utility of a multi-method, multi-nomial logistic regression model for predicting store choice

dc.contributor.authorMoutinho, Luiz
dc.contributor.authorHutcheson, Graeme D.
dc.date.accessioned2015-11-02T15:07:16Z
dc.date.available2015-11-02T15:07:16Z
dc.date.issued2006
dc.description.abstractFaclor, multinomiallogistic 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 reinforces a number of studies that have investigated patronage behaviour.pt_PT
dc.identifier.citationMoutinho, Luiz e Graeme D. Hutcheson (2006). "Store patronage : the utility of a multi-method, multi-nomial logistic regression model for predicting store choice". Portuguese Journal of Management Studies, XI(1):5-26pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/9999
dc.language.isoengpt_PT
dc.publisherInstituto Superior de Economia e Gestãopt_PT
dc.titleStore patronage : the utility of a multi-method, multi-nomial logistic regression model for predicting store choicept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapt_PT
oaire.citation.endPage26pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage5pt_PT
oaire.citation.titlePortuguese Journal of Management Studiespt_PT
oaire.citation.volumeXIpt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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