Store Patronage: The Utility Of A Multi-Method, Multi-Nomial Logistic Regression Model For Predicting Store Choice
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 reinforces a number of studies that have investigated patronage behaviour.
Volume (Year): XI (2006)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: Rua do Quelhas 6, 1200-781 LISBOA|
Phone: +351-213 925 800
Fax: +351-213 925 850
Web page: http://www.iseg.ulisboa.pt/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- McCurley Hortman, Sandra & Allaway, Arthur W. & Barry Mason, J. & Rasp, John, 1990. "Multisegment analysis of supermarket patronage," Journal of Business Research, Elsevier, vol. 21(3), pages 209-223, November.
- Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
- Paul R. Messinger & Chakravarthi Narasimhan, 1997. "A Model of Retail Formats Based on Consumers' Economizing on Shopping Time," Marketing Science, INFORMS, vol. 16(1), pages 1-23.
- Siddhartha Chib & Edward Greenberg & Yuxin Chen, 1998. "MCMC Methods for Fitting and Comparing Multinomial Response Models," Econometrics 9802001, EconWPA, revised 06 May 1998.
When requesting a correction, please mention this item's handle: RePEc:pjm:journl:v:xi:y:2006:i:1:p:5-25. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Luís Mota de Castro, Tiago Cardão-Pito, Mark Crathorne)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.