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Dimensions of brand-extension fit
•Brand-extension fit is constituted by six distinct dimensions.•Feature, function, resource, usage-occasion, target-market, and image-based fit.•Using a subset of these dimensions leads to biased importance of the used ones.•The six-dimension fit model can help managers achieve better consumer respo...
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Published in: | International journal of research in marketing 2022-09, Vol.39 (3), p.764-787 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Brand-extension fit is constituted by six distinct dimensions.•Feature, function, resource, usage-occasion, target-market, and image-based fit.•Using a subset of these dimensions leads to biased importance of the used ones.•The six-dimension fit model can help managers achieve better consumer responses.
A sizable research stream in marketing finds that a strong fit between a brand extension product and its parent brand encourages positive consumer responses. Yet this large body of literature fails to provide managers with specific practical guidance about how to create brand-extension fit for optimal results. The problem is a lack of understanding of what brand-extension fit really is, and there has been little work to address this issue by synthesizing the key dimensions of brand-extension fit. The current article addresses this gap by identifying the key constituent dimensions of brand-extension fit. This is an important topic because brand extensions are essential for business renewal and growth.
We identify six dimensions of brand-extension fit: feature-based, function-based, resource-based, usage-occasion-based, market-based, and image-based fit. Each dimension addresses a different aspect of brand-extension fit and suggests ways for brand managers to create brand-extension fit. Less expected is that studies that use a strict subset of these dimensions overweight those fit dimensions that are included, and the associated estimated coefficients are biased. From a managerial perspective, counterfactual analysis also shows that reliance on a strict subset of these dimensions results in suboptimal decisions. |
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ISSN: | 0167-8116 1873-8001 |
DOI: | 10.1016/j.ijresmar.2021.09.013 |