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Brand, Identity and Reputation: Exploring, Creating New Realities ...

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1989). But if the information available does not reduce uncertainty, consumer acceptance is low (Min, Kalwani <strong>and</strong><br />

Robinson, 2006). Since prototypical br<strong>and</strong>s tend to be perceived as particularly trustworthy (Veryzer <strong>and</strong> Hutchinson,<br />

1998; Nedungadi <strong>and</strong> Hutchinson, 1985; Ward <strong>and</strong> Loken, 1988), they provide consumers with information that helps<br />

reduce perceived uncertainty about novel products – leading to increased acceptance. We conduct a second study to test<br />

the uncertainty reduction hypothesis.<br />

Study 2<br />

A second online survey (n = 381; 56.5% male; 25-65 years) replicates the effect of prototypicality on fit, <strong>and</strong> extends it<br />

to dependent variables more directly related to innovation acceptance (i.e., attitude towards the product, purchase<br />

intentions of the product). A second goal was to investigate factors underlying the expected impact of prototypicality on<br />

product acceptance: perceived fit <strong>and</strong>/or the risk-reducing nature of prototypical br<strong>and</strong>s. The br<strong>and</strong> <strong>and</strong> innovation<br />

stimuli of Study 1 were used. We ran a separate Structural Equation Model for each product category, modeling<br />

purchase intention <strong>and</strong> new product attitude as the dependent variables. Attitude is a partial mediator of the effects on<br />

Intention. The prototypicality manipulation (br<strong>and</strong> with low = -1, medium = 0, or high = 1 prototypicality) is the<br />

independent variable that directly affects perceived br<strong>and</strong> prototypicality. Perceived br<strong>and</strong> prototypicality affects new<br />

product attitude <strong>and</strong> purchase intention via two mediators: perceived br<strong>and</strong>-product fit <strong>and</strong> perceived risk. In the base<br />

model, we assume only partial mediation by br<strong>and</strong>-product fit <strong>and</strong> perceived risk. This model shows acceptable fit to<br />

the data for each of the four product categories (chi²(94) all below 179.9, p .05) in three product categories (SUVs,<br />

chocolate <strong>and</strong> ketchup) <strong>and</strong> even negative in one case (beer). We verify that these regression weights are indeed<br />

significantly different across groups by means of a Chi² difference test. This turns out to be the case (p < .001 for SUVs,<br />

chocolate <strong>and</strong> beer, <strong>and</strong> p = .004 for ketchup).<br />

Conclusion<br />

Results from three studies demonstrate that there are at least two routes to the acceptance of prototypically br<strong>and</strong>ed<br />

innovations. A category-fit route, which becomes stronger when novel products are perceived to be close to the core<br />

category of the prototypical br<strong>and</strong>; <strong>and</strong> a risk-reduction route is active for both close <strong>and</strong> distant novel products. These<br />

studies bridge a gap between the br<strong>and</strong> extension literature that focuses on factors affecting consumer acceptance of<br />

extensions of existing br<strong>and</strong>s, <strong>and</strong> the innovation literature that examines reasons for new product success <strong>and</strong> failure.<br />

The results also nuance earlier claims that category congruence is crucial for successfully extending prototypical<br />

br<strong>and</strong>s. Finally, these results demonstrate that prototypicality transcends category anchoring effects, <strong>and</strong> positively<br />

influences the acceptance of new products, even in distant product categories.<br />

References<br />

1. Aaker, D.A. (1990). <strong>Br<strong>and</strong></strong> Extensions: The Good, the Bad, <strong>and</strong> the Ugly. Sloan Management Review, 31 (4), 47-56.<br />

2. Aaker, D.A., & Keller, K.L. (1990). Consumer Evaluations of <strong>Br<strong>and</strong></strong> Extensions. Journal of Marketing, 54 (1), 27-41.<br />

3. Boush, D.M., & Loken, B. (1991). A Process-Tracing Study of <strong>Br<strong>and</strong></strong> Extension Evaluation. Journal of Marketing Research, 28 (1), 16-28.<br />

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