Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/97741
Type: Journal article
Title: Investigating situational effects in wine consumption: a means-end approach
Author: Aurifeill, J.M.
Quester, P.G.
Hall, J.
Lockshin, L.
Citation: European Advances in Consumer Research, 1999; 4:104-111
Publisher: Association for Consumer Research
Issue Date: 1999
Statement of
Responsibility: 
Jean Marie Aurifeille, P.G. Quester, John Hall, Larry Lockshin
Abstract: This study groups consumer’s means-end chains according to the consumption situation, rather than by consumer characteristics. It relies on a predictive clustering technique, learning vector quantization (LVQ), to form well differentiated clusters which could be used by marketers to position their product for different usage situations. 648 different means-end chains, corresponding to 356 different occasions, were collected from 223 respondents. Using LVQ, an initial 8-cluster solution was found which fit the data well. However, a better predictivity was obtained by increasing the number of clusters to 14. The implications of these results are discussed in the conclusion of this paper along with directions for future research.
Rights: Copyright status unknown
RMID: 0030041519
Published version: http://acrwebsite.org/volumes/11123/volumes/e04/E-04
Appears in Collections:Business School publications

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