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Advanced brand concept maps: A new approach for evaluating the favorability of brand association networks

机译:先进的品牌概念图:一种评估品牌关联网络偏好度的新方法

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摘要

John, Loken, Kim, and Monga (2006) have introduced brand concept maps (BCM) as a powerful approach to measuring brand image according to the structure of the underlying brand association networks and reveal the strength and uniqueness of brand associations. Interestingly, BCM, as well as other consumer mapping techniques, do not incorporate explicit measures for the favorability of brand associations. This study extends the original BCM approach with explicit information on the favorability of single brand associations and, fur ther, develops a new metric, brand association network value (BANV), which quantifies overall network fa vorability. Our advanced BCM approach and the new BANV metric are managerially relevant in that they allow for comparison of the favorability of networks at both individual brand association and aggregate net work levels. We illustrate the relevance of our BANV metric within an empirical application and demonstrate its validity.
机译:John,Loken,Kim和Monga(2006)引入了品牌概念图(BCM),作为根据基础品牌关联网络的结构来衡量品牌形象并揭示品牌关联的力量和独特性的有效方法。有趣的是,BCM以及其他消费者映射技术都没有采用明确的措施来提高品牌联想度。这项研究在原始BCM方法的基础上,扩展了有关单一品牌协会的可取性的明确信息,并且进一步开发了一种新的指标,即品牌协会网络价值(BANV),它可以量化整体网络的有利程度。我们先进的BCM方法和新的BANV指标在管理上具有相关性,因为它们可以比较各个品牌协会和总体网络水平下网络的受欢迎程度。我们在经验应用中说明了我们的BANV指标的相关性,并证明了其有效性。

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