Abstract

PurposeThe purpose of this paper is twofold: first, to explore the influence of an individual’s attitude towards advertising and country-of-origin (COO) images (brand origin (BO) and country of manufacture (COM)) on brand equity creation; and second, to investigate how brand typicality moderates the effect of BO macro image on perceived quality.Design/methodology/approachThe data to test the hypotheses were elicited from a consumer survey in the Greater Lisbon area (305 Portuguese consumers). The product category of smartphones was selected for two main reasons: it has not been extensively analysed in previous studies on the subject of brand equity; it is a device well-known to Portuguese consumers (particularly in the Greater Lisbon area). Three criteria guided the selection of the brands. The first criterion is to select brands which are well-known to consumers. The second is to choose brands with a distinctive BO and a main COM. The third and final criterion is to consider brands in different positions in the brand ranking. In order to estimate structural path coefficients, R2, Q2, and bootstrap techniques, the current study employs the partial least squares approach.FindingsThe results show that individuals’ attitudes towards advertisements have a positive impact on brand equity creation, whereas those towards the COM do not significantly influence brand equity creation. Attitudes towards BO only have a partial influence. Brand typicality, however, exerts a significant direct effect on brand equity dimensions and, hence, does not have a significant moderating effect.Research limitations/implicationsThe authors suggest analysing the influence of COO on dimensions of brand equity considering consumer segmentation, types of industry and a range of brands, as well as different levels of consumer involvement with the product category. Several brands with the same COO should be analysed in order to understand whether the effects on brand equity depend on the product category. Although the current study is a first attempt to combine the potential effect of individuals’ attitudes towards advertisements and COO on creating brand equity, further research should examine additional potential antecedents of brand equity. Finally, cross-cultural studies are recommended.Practical implicationsRegarding managerial implications, three main aspects should be taken into consideration. First, creative, original and different advertising strategies are more effective than the COO in creating brand equity and, consequently, in building loyalty among smartphone consumers. Second, consumers do not tend to care about the place, country or region where the smartphone is produced, but the image of the country where the brand originated may be important. Finally, managers should be aware that, at least, in the smartphone sector, the way consumers create favourable associations with the brand and typicality, trust the company and consider it good value for money, are more effective in building brand loyalty than the perceived quality of the product/brand.Social implicationsRelating to the interrelationship between COO and brand equity, the results of the current study prove that the effects of COO are category specific. Therefore, more studies focussed on other contexts of products and brands are still needed to know in more detail how COO exerts an influence on brand equity dimensions. Even within a product category context, the results can depend on individual brands being analysed.Originality/valueTo the knowledge of the authors, this study is the first to investigate the dual (simultaneous) effect of individuals’ attitudes towards advertisements and COO images on brand equity dimensions. Adding to the originality of the paper, the category of smartphone with respect to brand equity has not been extensively analysed in previous studies.

Highlights

  • Brand equity has attracted the interest of academics and practitioners, especially since the seminal studies of Aaker (1991) and Keller (1993; 2003). Aaker (1991) defines brand equity as the sum of assets that are associated with the brand name, awareness, loyalty, perceived quality and other proprietary assets. Keller (2003) claims that brand equity is based on brand knowledge and positive associations with the brand

  • Other studies consider that brand origin (BO), meaning the “region or country where a brand is perceived to belong by its target customers” (Thakor and Kohli, 1996, p. 26), and country of manufacture (COM) are perceived by consumers as cues of quality (e.g., Hamzaoui-Essoussi, Merunka and Bartikowski, 2011) and are, sources of brand equity

  • In a globalized and competitive world, understanding the factors that can enhance the growth of brands and their brand equity is critical for developing business strategies

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Summary

Introduction

Brand equity has attracted the interest of academics and practitioners, especially since the seminal studies of Aaker (1991) and Keller (1993; 2003). Aaker (1991) defines brand equity as the sum of assets that are associated with the brand name, awareness, loyalty, perceived quality and other proprietary assets. Keller (2003) claims that brand equity is based on brand knowledge and positive associations with the brand. In order to achieve high levels of perceived quality of products, strong brand awareness/associations and customer loyalty, two main sources are required: marketing-mix ( marketing communication, especially advertising) (Yoo, Donthu and Lee, 2000; Ruzzier, 2012; Buil, de Chernatony and Martínez, 2013; Çifci et al, 2016) and country-of-origin images (brand origin and country of manufacture) Based on these assumptions and attending to the following sub-sections, Figure 1 depicts the conceptually proposed model addressing consumers’ attitudes towards advertising and country-of-origin images as influencing brand equity, the relationship among the core assets of brand equity (as dependent variables) and the hypothesized moderating effect of typicality. Based on the above and considering that the proposed model presents second-order formative factors for BO macro image, COM macro image and awareness/associations, as well as for testing the interaction effect of brand typicality as a moderator using small to medium sample sizes, PLS is the appropriate way to treat data (Chin et al, 2003; Hair et al, 2012). Considering the interaction effects model (H7), (i) the path coefficient between brand typicality and perceived quality is stronger for Apple and Samsung; (ii) the effect of brand typicality on brand awareness/association is positive and significant for the three brands, but the relationship is stronger for Apple and Samsung than for Nokia; (iii) the moderating effect of brand typicality as product indicator is not statistically significant

Discussion and implications
Latent variables and items
Perceived quality
Full sample

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