search query: @author Mazanec, J. A. / total: 3
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| Author: | Mazanec, J. A. |
| Title: | Neural market structure analysis: Novel topology- sensitive methodology |
| Journal: | European Journal of Marketing
2001 : VOL. 35:7-8, p. 894-914 |
| Index terms: | MARKET STRUCTURE BRANDS PERCEPTION METHODOLOGY |
| Language: | eng |
| Abstract: | Over the last decade various parametric approaches toward modelling segmented perception-preference structures such as combined MDS and latent class procedures have been introduced. These methods, however, are not tailored for qualitative data describing consumers' redundant and fuzzy perceptions of brand images. A completely different method is based on topology-sensitive vector quantization (VQ) for consumers-by-brands-by-attributes data. It maps the segment-specific perceptual structures into bubble-pie- bar charts with multiple brand positions demonstrating perceptual distinctiveness or similarity. Though the analysis proceeds without any distributional assumptions, it allows for significance testing. |
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