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Exploring the dynamics of antecedents to consumer–brand identification with a new brand

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Abstract

This study examines the dynamics of consumer–brand identification (CBI) and its antecedents in the context of the launch of a new brand. Three focal drivers of CBI with a new brand are examined, namely: perceived quality (the instrumental driver), self–brand congruity (the symbolic driver), and consumer innate innovativeness (a trait-based driver). Using longitudinal survey data, the authors find that on average, CBI growth trajectories initially rise after the introduction but eventually decline, following an inverted-U shape. More importantly, the longitudinal effects of the antecedents suggest that CBI can take different paths. Consumer innovativeness creates a fleeting identification with the brand that dissipates over time. On the other hand, company-controlled drivers of CBI—such as brand positioning—can contribute to the build-up of deep-structure CBI that grows stronger over time. Based on these findings, the authors offer normative guidelines to managers on consumer–brand relationship investment.

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Notes

  1. While image and reputation are often examined as antecedents to identification in the management literature, we do not use them in our framework for two reasons. First, as Bhattacharya and Sen (2003) state, “the notion of customer-company identification is conceptually distinct from consumers’ identification with a company’s brands, its target markets, or, more specifically, its prototypical consumer.” Using image or reputation can often capture firm-based perceptions rather than brand perceptions that we are trying to capture. Second, prior research in marketing has suggested that perceived quality is closely related to the external cues such as brand image and brand reputation (e.g., Dodds et al. 1991; Keller 1993; Zeithaml 1988), suggesting the two to be interrelated. Given brand management literature that has supported brand prestige (Kuenzel and Halliday 2008) as an antecedent to brand identification, it would be redundant to include both perceived quality and brand image in the conceptual framework. Third, such redundancy also produces multicollinearity in the empirical model.

  2. It might be argued that consumers may have difficulty in answering some of these questions without actual use. We believe this is not the case for our research context. First, brand identification is not contingent on actual use. For example, a consumer can identify with a luxury brand without being able to afford it. Second and most important, the survey questions captured the state of the customer–brand relationship in the respective time period.

  3. These time-varying covariates can also be modeled in the same way as we did for CBI antecedents to show how their effects interact with time from the initial stage. However, the effects of these variables are not the focus of our study. In addition, such specification will increase the number of parameters to be estimated, thus less parsimonious than the model we chose.

  4. We thank an anonymous reviewer for pointing this out.

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Acknowledgements

Special thanks to Prof. Wynn Chin for the PLS Graph license and Insites Consulting, Belgium, for its support.

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Correspondence to Michael Ahearne.

Appendix: Construct measures

Appendix: Construct measures

CBI (adapted from Bagozzi and Dholakia 2006; Bergami and Bagozzi 2000)

Cognitive CBI

  1. CBI1.

    (Venn-diagram item, where iPhone is the brand). We sometimes identify with a brand. This occurs when we perceive a great amount of overlap between our ideas about who we are as a person and what we stand for (i.e., our self identity) and of whom this brand is and what it stands for (i.e., the brand’s identity). Imagine that the circle at the left in each row represents your own personal identity and the other circle, at the right, represents the IPHONE’s identity. Please indicate which case (A, B, C, D, E, F, G, or H) best describes the level of overlap between your identity and the IPHONE’s identity. (Choose the Appropriate Letter).

    figure a
  2. CBI2.

    (Verbal item). To what extent does your own sense of who you are (i.e., your personal identity) overlap with your sense of what the iPhone represents (i.e., the iPhone’s identity)? Anchored by: -4 = Completely different, 0 = Neither similar nor different, and 4 = Completely similar.

Affective CBI (7-point Likert, strongly disagree/strongly agree)

  1. CBI3.

    When someone praises [brand], it feels like a personal compliment.

  2. CBI4.

    I would experience an emotional loss if I had to stop using [brand].

Evaluative CBI (7-point Likert, strongly disagree/strongly agree)

  1. CBI5.

    I believe others respect me for my association with [brand].

  2. CBI6.

    I consider myself a valuable partner of [brand].

Perceived Quality (adapted from Netemeyer et al. 2004)

To what extent do you agree/disagree with the following statements, using 1: strongly disagree, and 7: strongly agree):

  1. QUA1.

    Compared to other brands of (product), [brand] is of very high quality.

  2. QUA2.

    [Brand] is the best brand in its product class.

  3. QUA3.

    [Brand] consistently performs better than all other brands of (product).

SelfBrand Congruity (adapted from Aaker (1997) brand personality scale)

How do you perceive the following characteristics for [brand] and yourself? Congruity scores for each dimension are reverse-coded of the Euclidean scores between self and the brand.

  1. SBC1.

    Sincere (e.g., down to earth, honest, genuine)

  2. SBC2.

    Exciting (e.g., daring, spirited, young, up-to-date)

  3. SBC3.

    Competent (e.g., reliable, efficient, leader)

  4. SBC4.

    Sophisticated (e.g., glamorous, charming, upper class)

  5. SBC5.

    Rugged (e.g., tough, strong, outdoorsy)

Consumer Innate Innovativeness (adapted from Steenkamp and Gielens 2003; 7-point Likert, “strongly disagree/strongly agree”; positively-worded items)

  1. INNOV1.

    In general, I am among the first to buy new products when they appear on the market.

  2. INNOV2.

    I enjoy taking chances in buying new products.

  3. INNOV3.

    I am usually among the first to try new brands.

Promotion (Please rate the extent to which you agree/disagree with the following statements about brand promotion of the new brand, using 1: strongly disagree, and 7: strongly agree, 5 waves)

  1. PROM1.

    This brand has offered attractive sales promotion offers during the past two months.

  2. PROM2.

    There has been a lot of advertising about this brand in the past two months.

Word-of-Mouth (Please rate the extent to which you disagree/agree with the following statement about word of mouth about the new brand, using 1: strongly disagree, and 7: strongly agree, 5 waves)

  1. WOM1.

    There has been a lot of media coverage about this brand.

  2. WOM2.

    My friends have been talking positively about this brand.

  3. WOM3.

    I am aware that there has been a lot of buzz about this brand.

  4. WOM4.

    My friends have highly recommended this brand.

Brand Improvement (Please rate the extent to which you disagree/agree with the following statement about the improvement of the new brand, using 1: strongly disagree, and 7: strongly agree, 5 waves)

  1. IMP1.

    During the past two months, this brand has made significant improvements.

  2. IMP2.

    I am fully aware of the new features that this brand has introduced in the past two months.

  3. IMP3.

    I really like the improvements that this brand has made in the past two months.

Table 3 Factor loadings and path weights of CBI

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Lam, S.K., Ahearne, M., Mullins, R. et al. Exploring the dynamics of antecedents to consumer–brand identification with a new brand. J. of the Acad. Mark. Sci. 41, 234–252 (2013). https://doi.org/10.1007/s11747-012-0301-x

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