Abstract
Purpose: This research investigates when and how brands influence attribute importance weights. Most past studies modelling consumer decision processes treated the brand of a product as an attribute parallel to the price, color or size of a product, and as a result, those studies assigned an equal (i.e. non-contingent) importance weight across brands for each attribute. In contrast, this study introduces a brand-contingent attribute-weighting process, in which brand is a higher-order construct that influences attribute importance. Design/methodology/approach: This study presents a multi-level choice model in which the importance weight of an attribute can vary across brands. This study then estimates the model using real purchase data and survey data from an airline industry. Findings: This study finds that attribute importance weights are contingent upon two aspects of a brand – the perceived relative position of the brand and consumers’ brand usage experiences. Specifically, when consumers perceive a brand to be inferior to its competitors in a given attribute, they generally place greater weight on that attribute for that brand. In contrast, when consumers perceive a brand to be superior to its competitors in a given attribute, only consumers with extensive brand usage experiences place greater weight on that attribute for that brand. Practical implications: The findings provide managerial insights on brand positioning and segmentation strategies using consumers’ brand usage experiences. Originality/Value: This study advances the literature on consumer decision processes by modeling an attribute-weighting process that is contingent upon brands. The present study models this process based on consumer behavior theories and estimates the model using real market data.
Original language | English |
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Pages (from-to) | 1-25 |
Number of pages | 25 |
Journal | European Journal of Marketing |
Volume | 56 |
Issue number | 13 |
DOIs | |
Publication status | Published - 2022 Dec 19 |
Bibliographical note
Funding Information:Both authors contributed equally to this work. The authors thank Dr. Wujin Chu at Seoul National University Business School for his help in the data collection process. This work was supported by the CEIBS Research Grant [number 3HMJA] from China Europe International Business School (CEIBS) and the Yonsei University Research Grant of 2020 [number 2020–22-0394].
Publisher Copyright:
© 2021, Hyun Young Park and Sue Ryung Chang.
All Science Journal Classification (ASJC) codes
- Marketing