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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">bbr</journal-id>
			<journal-title-group>
				<journal-title>BBR. Brazilian Business Review</journal-title>
				<abbrev-journal-title abbrev-type="publisher">BBR, Braz. Bus. Rev.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="epub">1807-734X</issn>
			<publisher>
				<publisher-name>Fucape Business School</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.15728/bbr.2020.17.6.4</article-id>
			<article-id pub-id-type="publisher-id">00004</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Does Brand Awareness Influences Purchase Intention? The Mediation Role of Brand Equity Dimensions</article-title>
				<trans-title-group xml:lang="pt">
					<trans-title>A Consciência da Marca Influencia a Intenção de Compra? O Papel Mediador das Dimensões do Valor da Marca</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-1352-1660</contrib-id>
					<name>
						<surname>Azzari</surname>
						<given-names>Vitor</given-names>
					</name>
					<xref ref-type="aff" rid="aff1">
						<sup>1</sup>
					</xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-1567-8159</contrib-id>
					<name>
						<surname>Pelissari</surname>
						<given-names>Anderson</given-names>
					</name>
					<xref ref-type="aff" rid="aff2">
						<sup>2</sup>
					</xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="original"> Fundação Getulio Vargas (FGV EAESP), São Paulo, SP, Brasil</institution>
				<institution content-type="normalized">Fundação Getulio Vargas</institution>
				<institution content-type="orgname">Fundação Getulio Vargas</institution>
				<addr-line>
					<named-content content-type="city">São Paulo</named-content>
					<named-content content-type="state">SP</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
					<email>vitor.azzari@gmail.com</email>
			</aff>
			<aff id="aff2">
				<label>2</label>
				<institution content-type="original"> Universidade Federal do Espírito Santo, Vitória, ES, Brasil</institution>
				<institution content-type="normalized">Universidade Federal do Espírito Santo</institution>
				<institution content-type="orgname">Universidade Federal do Espírito Santo</institution>
				<addr-line>
					<named-content content-type="city">Vitória</named-content>
					<named-content content-type="state">ES</named-content>
				</addr-line>
				<country country="BR">Brasil</country>
					<email>asoncinipelissari@gmail.com</email>
			</aff>
			<author-notes>
				<corresp id="c1">
					<email>vitor.azzari@gmail.com </email>
				</corresp>
				<corresp id="c2">
					<email>asoncinipelissari@gmail.com</email>
				</corresp>
			</author-notes>
			<!--<pub-date date-type="pub" publication-format="electronic">
				<day>30</day>
				<month>12</month>
				<year>2020</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">-->
			<pub-date pub-type="epub-ppub">
				<season>Nov-Dec</season>
				<year>2020</year>
			</pub-date>
			<volume>17</volume>
			<issue>6</issue>
			<fpage>669</fpage>
			<lpage>685</lpage>
			<history>
				<date date-type="received">
					<day>09</day>
					<month>01</month>
					<year>2020</year>
				</date>
				<date date-type="rev-recd">
					<day>20</day>
					<month>02</month>
					<year>2020</year>
				</date>
				<date date-type="accepted">
					<day>07</day>
					<month>04</month>
					<year>2020</year>
				</date>
				<date date-type="pub">
					<day>21</day>
					<month>09</month>
					<year>2020</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
				</license>
			</permissions>
			<abstract>
				<title>ABSTRACT</title>
				<p>This paper aims to identify the antecedent role of brand awareness in other dimensions of consumer-based brand equity (CBBE) and its impact on purchase intention. It is a quantitative study based on a survey conducted with 622 smartphone users. The theoretical hypothesis test was performed by structural equation modeling (PLS-SEM) and ordinary least squares (OLS) regression to analyze the mediation effect. The results demonstrate that brand awareness does not directly impact purchase intention. This effect is only observed when it is mediated by the three dimensions of CBBE - perceived quality, brand associations, and brand loyalty. This investigation makes two major contributions. First, it demonstrates that knowing a brand is not enough to generate consumers’ purchase intent. Second, it uses the mediating effect of the other dimensions of CBBE (associations, loyalty, and perceived quality) to demonstrate that brand awareness acts as a first step in building brand value for consumers.</p>
			</abstract>
			<trans-abstract xml:lang="pt">
				<title>RESUMO </title>
				<p>Este artigo teve como objetivo identificar o papel antecedente da consciência da marca em outras dimensões do <italic>consumer-based brand equity</italic> (CBBE) e seu impacto na intenção de compra. É um estudo quantitativo baseado em uma pesquisa realizada com 622 usuários de smartphones. O teste de hipóteses foi realizado por modelagem de equações estruturais (PLS-MEE) e regressão de mínimos quadrados ordinários (OLS) para analisar o efeito da mediação. Os resultados demonstram que a consciência da marca não afeta diretamente a intenção de compra. Essa relação existe apenas quando mediada pelas três dimensões do CBBE: qualidade percebida, associações de marca e lealdade à marca. Os resultados deste estudo possuem duas contribuições principais. Primeiro, demonstra que conhecer uma marca não é suficiente para gerar a intenção de compra dos consumidores. Segundo, usa o efeito mediador das outras dimensões do CBBE (associações, lealdade e qualidade percebida) para demonstrar que a consciência da marca atua como um primeiro passo na construção de valor da marca para os consumidores.</p>
</trans-abstract>
			<kwd-group xml:lang="en">
				<title>KEYWORDS</title>
				<kwd>Brand Awareness</kwd>
				<kwd>Brand Equity</kwd>
				<kwd>Purchase Intention</kwd>
				<kwd>Smartphones</kwd>
			</kwd-group>
			<kwd-group xml:lang="pt">
				<title>PALAVRAS-CHAVE</title>
				<kwd>Consciência da marca</kwd>
				<kwd>Valor da marca</kwd>
				<kwd>Intenção de compra</kwd>
				<kwd>Smartphones</kwd>
			</kwd-group>
			<counts>
				<fig-count count="2"/>
				<table-count count="5"/>
				<equation-count count="0"/>
				<ref-count count="59"/>
				<page-count count="17"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>1. INTRODUCTION</title>
			<p>Companies’ dedication to build a strong and competitive brand in the perspective of consumers has become one of the key priority factors in the organizational environment (<xref ref-type="bibr" rid="B15">Christodoulides, Cadogan, &amp; Veloutsou, 2015</xref>). This is due to the important role of the brand in consumer decision making (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>), which makes brand management necessary to bring better performance to organizations and develop advantages over their competitors (<xref ref-type="bibr" rid="B6">Boicu, Cruz, &amp; Karamanos, 2015</xref>). The relevance of brand studies has brought the interest of the academic and professional community in the discussions about its value from the consumer’s perspective. The so-called consumer-based brand equity (CBBE) has been studied and is defined as the set of assets that brand name and symbol hold in relation to a product (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B1">Aaker, 1996</xref>).</p>
			<p>Due to the complexity and subjectivity surrounding the perception of brand equity, developing a CBBE conceptualization and measurement, with its formative dimensions and expected outcomes, is a challenging task (<xref ref-type="bibr" rid="B15">Christodoulides et al., 2015</xref>). Over the years, different dimensions of CBBE were identified and discussed (<xref ref-type="bibr" rid="B14">Christodoulides &amp; Chernatony, 2010</xref>; <xref ref-type="bibr" rid="B54">Veloutsou &amp; Guzman, 2017</xref>). Among the multiplicity of conceptualizations developed over the years, <xref ref-type="bibr" rid="B1">Aaker’s model (1996</xref>) is highlighted as the most adopted one (<xref ref-type="bibr" rid="B55">Vieira, Sincorá, Pelissari, &amp; Carneiro, 2018</xref>). This author has identified that brand equity is comprised of brand loyalty, perceived quality, brand awareness and brand associations. Through these dimensions, brand equity would be able to deliver greater value to the company through increased prices and margins, competitive advantage, and greater consumer buying intent (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>).</p>
			<p>However, as a multidimensional construct, it is important to analyze the effects and impacts of each of the dimensions of brand equity and how they relate to each other (<xref ref-type="bibr" rid="B52">Su, 2016</xref>). Among the dimensions, brand awareness can be considered the most neglected and the one with greatest possibility of discussion and divergence of opinions (<xref ref-type="bibr" rid="B46">Romaniuk, Wight, &amp; Faulkner, 2017</xref>). This construct is conceptualized as the degree to which consumers are aware that a brand is part of a product category (<xref ref-type="bibr" rid="B3">Assael &amp; Day, 1968</xref>). Previous studies argued that brand awareness has a positive and direct impact on purchase intention (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B57">Wu &amp; Ho, 2014</xref>; <xref ref-type="bibr" rid="B2">Akkucuk &amp; Esmaeili, 2016</xref>). However, the emergence and growth of new brands in the recent years may show that simply being aware of the brand does not indicate a positive or negative perception. This might only be the first step towards generating attitudes and behaviors regarding the brand (<xref ref-type="bibr" rid="B52">Su, 2016</xref>). </p>
			<p>Therefore, brand awareness itself might not be enough to increase the consumers’ purchase intent towards unknown brands. On the other hand, this construct may allow other positive consumer relationships with the brand to appear, such as perceived quality, brand loyalty, and brand associations (<xref ref-type="bibr" rid="B24">Grewal et al., 1998</xref>; <xref ref-type="bibr" rid="B40">Pappu, &amp; Quester, 2016</xref>; <xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>) and thus generate the purchase intention. Therefore, this study aimed to analyze the antecedent role of brand awareness in the other dimensions of consumer-based brand equity and its impact on consumer purchase intention.</p>
			<p>For this purpose, we chose to study smartphone brands. This choice is justified by the fact that this product is one of the most used today by the world population (<xref ref-type="bibr" rid="B50">Statista, 2019a</xref>). In addition, smartphones have an increasing importance in the global market and may have different characteristics, presenting a medium replacement cycle and low, medium, or high cost depending on product specifications. (<xref ref-type="bibr" rid="B36">Kim, Chun, &amp; Lee, 2014</xref>; <xref ref-type="bibr" rid="B33">Jyothsna, Mahalakshmi, &amp; Sandeep, 2016</xref>). It is noteworthy that among the top 10 brands in the world, six are linked to the technology segment and four develop smartphones (<xref ref-type="bibr" rid="B30">Interbrand, 2019</xref>).</p>
			<p>In order to fulfill the objective, we conducted a survey with 622 smartphone users. The data was analyzed using structural equation modeling (PLS-SEM) and ordinary least squares (OLS) regression by Macro Process. The results provide evidence showing that brand awareness exerts a predecessor role on other brand equity dimensions: brand loyalty, brand associations, and perceived quality. In turn, these dimensions mediate the relationship between brand awareness and purchase intention.</p>
			<p>This study is relevant due to the divergent discussions concerning the relationship between the dimensions of CBBE. Over the years, it is common to identify previous research that allocates these four dimensions of CBBE linearly and independently by each other in consumer behavior (<xref ref-type="bibr" rid="B16">Cobb-Walgren, Ruble, &amp; Donthu, 1995</xref>; <xref ref-type="bibr" rid="B26">Hanzaee &amp; Asadollahi, 2012</xref>). However, there are still open spaces for discussion about the role of these dimensions and their relationships (<xref ref-type="bibr" rid="B47">Severi &amp; Ling, 2013</xref>). Moreover, it is intended to contribute to the business community by bringing a new perspective of brand awareness and showing that this variable can be used as a precursor of others to build a strong brand value from the consumer’s perspective.</p>
		</sec>
		<sec>
			<title>2. CONSUMER-BASED BRAND EQUITY</title>
			<p>CBBE can be defined as the set of assets linked to the brand name and symbol that generates value for a product/service delivered to the consumer (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>), or as the differential effect of brand awareness on consumer response to brand marketing strategies (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>). According to <xref ref-type="bibr" rid="B1">Aaker (1996</xref>), brand equity is a multidimensional construct composed of four dimensions, namely: brand awareness, perceived quality, brand associations, and brand loyalty.</p>
			<p>In previous studies, CBBE indicated to have an important role for consumer’s buying decision-making process, especially in the stages of searching for information and evaluating the alternatives (<xref ref-type="bibr" rid="B32">Jung &amp; Shen, 2011</xref>; <xref ref-type="bibr" rid="B9">Calvo-Porral et al., 2015</xref>; <xref ref-type="bibr" rid="B2">Akkucuk &amp; Esmaeili, 2016</xref>; <xref ref-type="bibr" rid="B49">Sharma et al., 2015</xref>). Brands with greater value decrease consumers’ time and research cost, therefore, reducing the effort to make a good product choice and the risk (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>). <xref ref-type="bibr" rid="B33">Jyothsna, et al. (2016</xref>) suggest that brand equity plays an important role in shaping consumer buying intent, and it makes consumers have the brand as one of their first buying options. <xref ref-type="bibr" rid="B9">Calvo-Porral et al. (2015</xref>) suggest the need for managers to consider each of the dimensions of CBBE when developing the marketing strategies of organizations. On the other hand, if CBBE is considered a multidimensional concept (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>), it is necessary to analyze each of its dimensions described below.</p>
			<p>
				<italic>Brand associations:</italic> an important ingredient of brand perception which occurs when the consumer thinks about a brand and develops some type of association linked to the memory that one has about it (<xref ref-type="bibr" rid="B39">Michel &amp; Donthu, 2014</xref>). These associations may include product attributes, lifestyle, personality, or symbols (<xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>). It is a type of mechanism that helps the consumer to remember the brand faster. Thus, the greater the experience with the brand, the greater the strength of the associations (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>).</p>
			<p>
				<italic>Brand awareness</italic>: can be defined as the strength that the brand has in the consumer’s mind (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>). Brand awareness involves two main elements: recall and recognition (<xref ref-type="bibr" rid="B35">Keller &amp; Lehmann, 2006</xref>). It is possible to make an analogy of this concept with advertising posters. If consumers’ minds had multiple posters, each one referring to a brand, awareness would be based on the size of the posters. Thus, the larger the poster, the greater the awareness of that brand. Therefore, it refers to the consumer’s ability to remember the brand as part of a certain product category (<xref ref-type="bibr" rid="B29">Huang &amp; Sarigölü, 2014</xref>; <xref ref-type="bibr" rid="B17">Da Costa, Patriotra, &amp; Angelo, 2017</xref>).</p>
			<p>
				<italic>Perceived quality:</italic> it is defined as the consumer’s knowledge of the overall quality or superiority of a brand when comparing it with others (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>). This construct is considered high or low according to the intangible perception of the consumer (<xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>). For <xref ref-type="bibr" rid="B20">Desai, Kalra and Murthi (2008</xref>), perceived quality refers to the consumer’s knowledge about what he/she sees and feels when looking and/or touching a product of a certain brand.</p>
			<p>
				<italic>Brand loyalty:</italic> is one of CBBE’s main assets. It is the measure of the link between the consumer and the brand, and the likelihood that the customer may change brands when the brand undergoes a price or product change (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>). This dimension is also defined as a positive consumer behavioral or emotional response to a brand (<xref ref-type="bibr" rid="B41">Pedeliento et al., 2016</xref>).</p>
		</sec>
		<sec>
			<title>3. THE RELATION BETWEEN BRAND AWARENESS, CBBE DIMENSIONS, AND PURCHASE INTENTION</title>
			<p>Several new brands in market are emerging and competing equally with already established brands (<xref ref-type="bibr" rid="B44">Pullig, Simmons, &amp; Netemeyer, 2006</xref>). In this situation, consumers’ knowledge and awareness regarding the existence of the brand in a product category is not always a strong enough reason to directly affect purchase intention (<xref ref-type="bibr" rid="B7">Burnett &amp; Hutton, 2007</xref>). This may also be linked to technological advancement and high variations of prices and tools depending on the product model being offered. Therefore, it leads the consumer to pay more attention to these attributes than whether the brand is known or not (<xref ref-type="bibr" rid="B57">Wu &amp; Ho, 2014</xref>).</p>
			<p>
				<list list-type="simple">
					<list-item>
						<p>H1: There is no direct positive relationship between brand awareness and purchase intention.</p>
					</list-item>
				</list>
			</p>
			<p>On the other hand, the fact that the brand is known opens a range of opportunities for consumers to develop positive behaviors and attitudes, like the other dimensions of CBBE: quality perception, brand associations, and brand loyalty (<xref ref-type="bibr" rid="B24">Grewal et al., 1998</xref>; <xref ref-type="bibr" rid="B40">Pappu, &amp; Quester, 2016</xref>; <xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>).</p>
			<p>When consumers are more aware of a brand, they are more confident and able to become loyal to that brand, whereas brands with a low level of awareness may find it harder to penetrate the market (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>). Brand recognition is seen as a precursor to brand loyalty (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B40">Pappu, &amp; Quester, 2016</xref>). Authors who developed empirical studies indicated a positive relationship between brand awareness and brand loyalty in different industries, as cosmetics (<xref ref-type="bibr" rid="B13">Chinomona &amp; Maziriri, 2017</xref>), hospitality (<xref ref-type="bibr" rid="B58">Xu, Li, &amp; Zhou, 2015</xref>), and smartphones (<xref ref-type="bibr" rid="B31">Jing, Pitsaphol, &amp; Shabbir, 2014</xref>).</p>
			<p>
				<list list-type="simple">
					<list-item>
						<p>H2a: There is a positive relationship between brand awareness and brand loyalty.</p>
					</list-item>
				</list>
			</p>
			<p>In turn, increased brand loyalty makes consumers more likely to buy the products, as well as it creates the ability to repurchase and increase positive word-of-mouth (<xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>). In addition, they also create the possibility of increasing sales volume, attracting new consumers, and providing commercial leverage through distribution channels, which opt for the security of brands that have loyal customers (<xref ref-type="bibr" rid="B48">Ranjbariyan, Shahin, &amp; Jafari, 2012</xref>). Other empirical studies have also validated the positive impact of brand loyalty on consumer purchase intent, stating that loyal buyers tend to refer the brand to others and continue to buy the branded products even if the price is higher than competitors (<xref ref-type="bibr" rid="B9">Porral et al., 2015</xref>; <xref ref-type="bibr" rid="B37">Kim &amp; Kim, 2005</xref>; <xref ref-type="bibr" rid="B2">Akkucuk &amp; Esmaeili, 2016</xref>).</p>
			<p>
				<list list-type="simple">
					<list-item>
						<p>H2b: There is a positive relationship between brand loyalty and purchase intention.</p>
					</list-item>
				</list>
			</p>
			<p>If consumers have heard of a brand at some point, and have had even indirect experiences with it, the possibilities of generating brand associations emerge (<xref ref-type="bibr" rid="B10">Chan, Boksem &amp; Smidts, 2018</xref>). Thus, after consumers are aware of the brand, some images and perceptions about the brand can rise in consumers’ mind (<xref ref-type="bibr" rid="B53">Tariq, Abbas, Abrar, &amp; Iqbal, 2017</xref>). According to Shafiri (2014), brand awareness has a direct link with cognitive thinking and cognition, that can be considered dimensions of brand associations. <xref ref-type="bibr" rid="B43">Pitta &amp; Katsanis (1995</xref>) argue that brand awareness allows brand and product associations to be built and incorporated into consumer memory. Following this, there is evidence of the connection between awareness and brand associations in which the former precedes the latter (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B19">Dew &amp; Kwon, 2010</xref>; <xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>). </p>
			<p>
				<list list-type="simple">
					<list-item>
						<p>H3a: There is a positive relationship between brand awareness and brand associations.</p>
					</list-item>
				</list>
			</p>
			<p>In turn, brand associations may have a significant impact on consumer buying behavior (<xref ref-type="bibr" rid="B23">French &amp; Smith, 2013</xref>), since associations generate value in different ways, such as helping to process and find information, establishing brand differentiation and positioning, and creating positive feelings about the brand (<xref ref-type="bibr" rid="B19">Dew &amp; Kwon, 2010</xref>; <xref ref-type="bibr" rid="B33">Jyothsna et al., 2016</xref>). <xref ref-type="bibr" rid="B21">Paço, Rodrigues, and Rodrigues (2015</xref>) argue that some specific positive dimensions of brand association, as utility and affect, impact the consumer purchase intention.</p>
			<p>
				<list list-type="simple">
					<list-item>
						<p>H3b: There is a positive relationship between brand associations and purchase intention.</p>
					</list-item>
				</list>
			</p>
			<p>Regarding perceived quality, previous studies argue that consumers prefer to buy products from familiar and known brands , as they believe that the products will have higher quality, thus having lower risk in their purchase (<xref ref-type="bibr" rid="B20">Desai, Kalra &amp; Murthi, 2008</xref>; <xref ref-type="bibr" rid="B18">Das, 2015</xref>; <xref ref-type="bibr" rid="B8">Calvo-Porral &amp; Lévy-Mangin, 2017</xref>). Authors have tested the relationship between perceived quality and brand awareness in different contexts and identified that consumer perception of the brand improves as he/she already has some familiarity with it (<xref ref-type="bibr" rid="B24">Grewal et al., 1998</xref>; <xref ref-type="bibr" rid="B12">Chi, Yeh, &amp; Yang, 2009</xref>; <xref ref-type="bibr" rid="B47">Severi &amp; Ling, 2013</xref>). </p>
			<p>
				<list list-type="simple">
					<list-item>
						<p>H4a: There is a positive relationship between brand awareness and perceived quality.</p>
					</list-item>
				</list>
			</p>
			<p>Quality perception enables consumers to reduce their uncertainty in decision making. The fact that one brand has higher quality than others makes the purchase risk lower and it increases the expectation of satisfaction when using the product (<xref ref-type="bibr" rid="B8">Calvo-Porral &amp; Lévy-Mangin, 2017</xref>). In addition, perceived quality also allows organizations to make use of premium pricing, that is, they apply a higher price in relation to the market without having a disadvantage in competing with competitors (<xref ref-type="bibr" rid="B37">Kim &amp; Kim, 2005</xref>). Also, higher perception of quality is related to a positive effect on brand value (<xref ref-type="bibr" rid="B56">Wang, 2017</xref>). Thus, it might improve consumers purchase intention (<xref ref-type="bibr" rid="B42">Petrick, 2004</xref>).</p>
			<p>
				<list list-type="simple">
					<list-item>
						<p>H4b: There is a positive relationship between perceived quality and purchase intention.</p>
					</list-item>
				</list>
			</p>
			<p>
				<xref ref-type="fig" rid="f1">Figure 1</xref> shows the conceptual model developed based on the hypotheses presented. The following chapters present the methods and analysis to validate the model.</p>
			<p>
				<fig id="f1">
					<label>Figure 1.</label>
					<caption>
						<title>Model of tested hypotheses</title>
					</caption>
					<graphic xlink:href="1808-2386-bbr-17-06-669-gf1.jpg"/>
					<attrib>Source: Authors’own elaboration</attrib>
				</fig>
			</p>
		</sec>
		<sec sec-type="methods">
			<title>4. METHODOLOGY</title>
			<sec>
				<title>4.1. Data Collection and Sample</title>
				<p>Given the proposed hypotheses, the methodological strategy used was quantitative through a survey application. For this purpose, a questionnaire with closed-ended questions was used to identify the characteristics and opinions of the studied population. The sample chosen consisted of undergraduate students. Although this choice limits the development of generalized conclusions, the profile of college students matches with the age range of the main smartphone users (<xref ref-type="bibr" rid="B51">Statista, 2019b</xref>). In addition, previous CBBE studies have also used this type of sample (<xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>; <xref ref-type="bibr" rid="B4">Atilgan, Aksoy, &amp; Akinci, 2005</xref>; <xref ref-type="bibr" rid="B26">Hanzaee &amp; Assadollahi, 2012</xref>; <xref ref-type="bibr" rid="B33">Jyothsna et al., 2016</xref>).</p>
				<p>The minimum sample size was defined according to <xref ref-type="bibr" rid="B25">Hair Jr. et al. (2017</xref>), which suggests verification through statistical power. The analysis was then aided by the G * Power software, in which two parameters were used: the test power (Power = 1 - β error prob. II) and the effect size (f²). The calculation also considered the construct that had the largest number of predictors which is, in the case of the present model, the purchase intention with four pointed arrows (<xref ref-type="bibr" rid="B25">Hair Jr. et al., 2017</xref>). Thus, the software indicated that the use of a sample of 85 cases would already reach the statistical power of the test of 80.30%.</p>
				<p>After the questionnaire was elaborated, it was sent to five academic professionals with experience in the area in order to acquire suggestions for improvement. Thus, based on their guidelines, some adjustments were made and after that, a pretest was applied with 28 students. The aim was to analyze the questionnaire applicability regarding the understanding of it and the way it was built, as well as to preliminary check the behavior of the relationships between the variables based on the small sample. The results obtained in the pretest were considered satisfactory, which allowed the field application of the survey.</p>
				<p>The questionnaire was developed using the SurveyMonkey online tool and emailed to all students enrolled in university undergraduate courses. It is worth emphasizing that all questions were asked based on user experience regarding the brand of their current smartphone. The survey obtained a total of 720 responses. After collection, suspicious response patterns were found, characterized by <xref ref-type="bibr" rid="B25">Hair Jr. et al. (2017</xref>) as the phenomenon that occurs when the respondent marks the same scale item for a high proportion of questionnaire questions. In most cases, it is recommended to exclude responses that present this type of pattern (<xref ref-type="bibr" rid="B25">Hair Jr. et al., 2017</xref>). Therefore, 58 questionnaires were eliminated, resulting in 662 valid cases.</p>
				<p>A considerable part of the sample (63%) is composed of young people aged 16 to 22 years old, followed by respondents aged 23 to 29 years old (25%). This data is coherent in relation to the population under analysis, which are undergraduate students. It can be observed that the age range of the sample is aligned with the object of study chosen for this research, considering that smartphones are mostly used by young people in their 20s (<xref ref-type="bibr" rid="B51">Statista, 2019b</xref>). Regarding the gender of the respondents, the distribution was roughly the same, however, females obtained a small majority of completed questionnaires representing 51% of the total sample (n = 340). All brands that composed the sample also maintained approximately the same distribution between genders.</p>
				<p>Respondents were also asked about the smartphone brands used. The sample was concentrated in five main brands: Motorola (29% of the total), Samsung (28% of the total), Apple (16% of the total), Asus (7% of the total) and LG (6% of the total). The remaining 13% of the sample use brands such as Lenovo, Xiaomi, Nokia and Sony. When asked which brands they would like to choose in their future smartphone purchase, the results showed that respondents focused on the Motorola (27%), Apple (26%) and Samsung (24%) brands. It is noteworthy that 33% of the sample indicated a preference for a different brand from the current one used in case of future purchase, which demonstrates that they are likely to change the brand of their smartphone.</p>
			</sec>
			<sec>
				<title>4.2. Measures</title>
				<p>The measurement used in this questionnaire was five-point Likert scale ranging from “strongly disagree” to “strongly agree”. The operationalization of each variable is based on available instruments from prior relevant literature. The constructs perceived quality, brand loyalty, and brand associations were adapted from <xref ref-type="bibr" rid="B59">Yoo and Donthu (2001</xref>) that aimed to develop a multidimensional CBBE scale. Brand awareness operationalization was adapted from <xref ref-type="bibr" rid="B59">Yoo and Dontu (2001</xref>) and <xref ref-type="bibr" rid="B48">Shah (2012</xref>). And purchase intention was measured using an adapted scale from <xref ref-type="bibr" rid="B24">Grewal, Monroe, &amp; Krishnan (1998</xref>). The items of each variable were presented in <xref ref-type="app" rid="app1">Appendix A</xref>.</p>
			</sec>
			<sec>
				<title>4.3. Data Analysis</title>
				<p>Data analysis was divided into two steps. The first was the application of the Structural Equation Modeling (PLS-SEM) technique through SmartPLS 3.0 to validate the measurement and structural model. This technique examines relationships using a set of methods to identify and analyze multiple dependency relationships between variables through a path diagram (<xref ref-type="bibr" rid="B25">Hair Jr. et al., 2017</xref>). The steps used to validate the measurement and structural model were based on <xref ref-type="bibr" rid="B25">Hair Jr. et al. (2017</xref>), which establish the criteria for determining internal consistency, convergent and discriminant validity, significance, and collinearity. </p>
				<p>The second stage involved the analysis of mediations through the Macro Process model, which was employed according to <xref ref-type="bibr" rid="B27">Hayes (2018</xref>) parameters. The hypotheses developed in this study aimed to analyze the indirect path of relationships through mediations, and ordinary least squares (OLS) regression analysis, which is routinely used for this purposjustifying its application (<xref ref-type="bibr" rid="B27">Hayes, 2018</xref>). Moreover, through the Macro Process it is possible to analyze the whole model by the aggregate sum of its parts, unlike PLS-SEM, allowing better inferences for theory construction (<xref ref-type="bibr" rid="B28">Hayes, Montoya, &amp; Rockwood, 2017</xref>). For these reasons, it was considered relevant to use PLS-SEM for the validation of the measurement and structural model, and the use of OLS via Macro Process to analyze the total effect of mediation.</p>
			</sec>
		</sec>
		<sec sec-type="results">
			<title>5. RESULTS</title>
			<sec>
				<title>5.1. Model Validation</title>
				<p>In order to evaluate the measurement model, we used a PLS Algorithm software tool named SmartPLS 3.0, it was applied to valid sample composed of 662 answers. When performing the calculations, the model converged with 07 interactions, a value lower than the recommended maximum of 300 interactions, thus meeting the convergence requirements of the algorithm (<xref ref-type="bibr" rid="B25">Hair Jr. et al., 2017</xref>).</p>
				<p>The first criterion analyzed was internal consistency, which uses Cronbach’s alpha values ​​and composite reliability as parameters for validation. As recommended by <xref ref-type="bibr" rid="B25">Hair Jr. et al. (2017</xref>), all constructs had Cronbach’s alpha above 0.708 and composite reliability below 0.95. However, some indicators showed below-recommended external load values (&lt;0.708) and the indicator confidence values ​​below the minimum (&lt;0.5). Therefore, the indicators correspondent to those values were excluded from the analysis, namely AW05, AS01 and AS02 (one indicator of the Brand Awareness construct and two of the Brand Associations construct). The exclusion of these indicators is justified by the positive impact on the construct validity by checking the stroke and composite reliability indices, as indicated by <xref ref-type="bibr" rid="B25">Hair Jr. et al. (2017</xref>). In addition, all constructs met the discriminant validity criteria as indicated in Fornell-Lacker’s test results (<xref ref-type="table" rid="t1">Table 1</xref>).</p>
				<p>
					<table-wrap id="t1">
						<label>Table 1.</label>
						<caption>
							<title>
								<italic>Fornell-Lacker Criterion</italic>
							</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left">Indicators</th>
									<th align="center">Brand Associations</th>
									<th align="center">Brand Awareness</th>
									<th align="center">Loyalty</th>
									<th align="center">Perceived Quality</th>
									<th align="center">Purchase Intention</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left">Brand Associations</td>
									<td align="center">0.816</td>
									<td align="left"> </td>
									<td align="left"> </td>
									<td align="left"> </td>
									<td align="left"> </td>
								</tr>
								<tr>
									<td align="left">Brand Awareness</td>
									<td align="center">0.510</td>
									<td align="center">0.770</td>
									<td align="left"> </td>
									<td align="left"> </td>
									<td align="left"> </td>
								</tr>
								<tr>
									<td align="left">Loyalty</td>
									<td align="center">0.370</td>
									<td align="center">0.417</td>
									<td align="center">0.813</td>
									<td align="left"> </td>
									<td align="left"> </td>
								</tr>
								<tr>
									<td align="left">Perceived Quality</td>
									<td align="center">0.424</td>
									<td align="center">0.481</td>
									<td align="center">0.542</td>
									<td align="center">0.846</td>
									<td align="left"> </td>
								</tr>
								<tr>
									<td align="left">Purchase Intention</td>
									<td align="center">0.530</td>
									<td align="center">0.446</td>
									<td align="center">0.657</td>
									<td align="center">0.682</td>
									<td align="center">0.852</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN1">
								<p>
									<bold>
										<italic>Source:</italic>
									</bold> Authors’ own elaboration</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>After validating the measurement model with satisfactory quality levels, the next step was to analyze the structural model. This phase involves examining the model’s predictive capabilities and the relationships between latent variables. The steps suggested by <xref ref-type="bibr" rid="B25">Hair Jr. et al. (2017</xref>) were used to evaluate the structural model. These steps consisted of performing the model collinearity tests, path coefficients significance, R² value level, <italic>f</italic>² effect size, predictive relevance (Q²) and q² effect size, as well as the validation of the measurement model. All of the structural model tests were performed using SmartPLS 3.0 software.</p>
				<p>The collinearity analysis of the structural model was performed using the variance inflation factor (VIF) values. The endogenous latent variables of the model presented VIF values ​​lower than 5.0 as indicated by <xref ref-type="bibr" rid="B25">Hair Jr. et al. (2017</xref>) as acceptable. This shows that respondents understood the constructs as phenomena different from each other.</p>
				<p>The second stage of the analysis consisted of evaluating the significance and relevance of the path coefficients of the structural model. The relationships between Associations (AS), Loyalty (LO) and Perceived Quality (PQ) constructs with Purchase Intent (PI) construct showed a relevant level of significance (1%). The relationship between Consciousness (AW) and Purchase Intention (PI) constructs was not significant, as presented in <xref ref-type="table" rid="t2">Table 2</xref>. When analyzing the value of the path coefficient of this relationship, it has a negative value close to zero. On the other hand, the effect of brand awareness as antecedent of the variables: associations, perceived quality and loyalty was significant.</p>
				<p>
					<table-wrap id="t2">
						<label>Table 2.</label>
						<caption>
							<title>
								<italic>Path coefficients relevance</italic>
							</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left">Path</th>
									<th align="center">Path Coefficients</th>
									<th align="center">t-value</th>
									<th align="center">p-value</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left">AS → PI</td>
									<td align="center">0.238</td>
									<td align="center">7.920</td>
									<td align="center">0.000***</td>
								</tr>
								<tr>
									<td align="left">AW → AS</td>
									<td align="center">0.510</td>
									<td align="center">16.630</td>
									<td align="center">0.000***</td>
								</tr>
								<tr>
									<td align="left">AW → LO</td>
									<td align="center">0.417</td>
									<td align="center">13.283</td>
									<td align="center">0.000***</td>
								</tr>
								<tr>
									<td align="left">AW → PQ</td>
									<td align="center">0.481</td>
									<td align="center">14.168</td>
									<td align="center">0.000***</td>
								</tr>
								<tr>
									<td align="left">AW → PI</td>
									<td align="center">-0.015</td>
									<td align="center">0.491</td>
									<td align="center">0.623</td>
								</tr>
								<tr>
									<td align="left">LO → PI</td>
									<td align="center">0.362</td>
									<td align="center">13.131</td>
									<td align="center">0.000***</td>
								</tr>
								<tr>
									<td align="left">PQ → PI</td>
									<td align="center">0.393</td>
									<td align="center">11.913</td>
									<td align="center">0.000***</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN2">
								<p>
									<bold>
										<italic>Note:</italic>
									</bold> R²=0.625; * significant at 0.10, ** significant at 0.05, *** significant at 0.01</p>
							</fn>
							<fn id="TFN3">
								<p>
									<bold>
										<italic>Source:</italic>
									</bold> Authors’ own elaboration</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>Following the validation steps of the structural model, the coefficient of determination (R²) was evaluated. According to the criteria established by <xref ref-type="bibr" rid="B25">Hair Jr. et al. (2017</xref>) for research in the area of ​​consumer behavior, the R² found for the purchase intention construct (R² = 0.625) can be considered high.</p>
				<p>The fourth stage of model analysis sought to evaluate the effect size <italic>f</italic>², which measures the impact of the exogenous latent variable on the endogenous. In the analysis of the relationship of the constructs with the purchase intention variable, the results showed a small effect on brand associations (<italic>f</italic>² AS → PI = 0.104) and a moderate effect on perceived quality (<italic>f</italic>² PQ → PI = 0.251) and loyalty (<italic>f</italic>² LO → PI = 0.233). As expected, there was no effect on the brand awareness (<italic>f</italic>² AW → PI = 0.000), since the relationship was not significant. By analyzing the relationship of brand awareness as predecessor to the other dimensions of brand equity, it can be observed that the effect based on the value of <italic>f</italic>² was large for brand associations (<italic>f</italic>² AW → AS = 0.352) and perceived quality (<italic>f</italic>² AW → PQ = 0.300), and it was moderated for loyalty (<italic>f</italic>² AW → LO = 0.211).</p>
				<p>Finally, the fifth step was the analysis of the predictive relevance of the model (Q²), which was performed using the blindfolding procedure. This procedure is used to evaluate the ability of exogenous variables to predict the endogenous variable. The result obtained was a value above zero (Q² = 0.422) which supports the predictive relevance of the model to the endogenous construct. In addition, the relative impact of q² of exogenous constructs on the endogenous construct was also evaluated. The constructs brand associations (q² = 0.163), perceived quality (q² = 0.154), and loyalty (q² = 0.108) indicated a moderate predictive relevance to purchase intention. Furthermore, as expected, the brand awareness (q² = 0.000) did not point to direct predictive relevance to purchase intention.</p>
				<p>
					<xref ref-type="fig" rid="f2">Figure 2</xref> shows the path coefficients and the significance of relationships between model variables. It also presents the indicators that were maintained after all validation criteria of the measurement model.</p>
				<p>
					<fig id="f2">
						<label>Figure 2.</label>
						<caption>
							<title>Structural Model (PLS-SEM)</title>
						</caption>
						<graphic xlink:href="1808-2386-bbr-17-06-669-gf2.jpg"/>
						<attrib>Source: Authors’own elaboration </attrib>
					</fig>
				</p>
			</sec>
			<sec>
				<title>5.2. Multiple Mediation Analysis</title>
				<p>The mediating effects were also verified through the indirect relationship between brand awareness and purchase intention variables (<xref ref-type="table" rid="t3">Table 3</xref>). As previously described, the analysis of this step was done by regression analysis (OLS) of the Macro Process with 10.000 subsamples.</p>
				<p>
					<table-wrap id="t3">
						<label>Table 3.</label>
						<caption>
							<title>
								<italic>Multiple Mediation Outcomes</italic>
							</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="center" colspan="4">Direct effect of AW on PI:</th>
								</tr>
								<tr>
									<th align="left"> </th>
									<th align="center">Effect</th>
									<th align="center" colspan="2">Confidence interval</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left">
										<italic>Total</italic>
									</td>
									<td align="center">-0.0731</td>
									<td align="center">-0.1552</td>
									<td align="center">0.0090</td>
								</tr>
								<tr>
									<td align="center" colspan="4">Indirect effect of AW on PI:</td>
								</tr>
								<tr>
									<td align="left"> </td>
									<td align="center">Effect</td>
									<td align="center" colspan="2">Confidence interval</td>
								</tr>
								<tr>
									<td align="left">
										<italic>Total</italic>
									</td>
									<td align="center">0.6323</td>
									<td align="center">0.5513</td>
									<td align="center">0.7106</td>
								</tr>
								<tr>
									<td align="left">
										<italic>PQ</italic>
									</td>
									<td align="center">0.2560</td>
									<td align="center">0.1994</td>
									<td align="center">0.3168</td>
								</tr>
								<tr>
									<td align="left">
										<italic>AS</italic>
									</td>
									<td align="center">0.1848</td>
									<td align="center">0.1331</td>
									<td align="center">0.2369</td>
								</tr>
								<tr>
									<td align="left">
										<italic>LO</italic>
									</td>
									<td align="center">0.1915</td>
									<td align="center">0.1502</td>
									<td align="center">0.2374</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN4">
								<p>
									<bold>
										<italic>Source:</italic>
									</bold> Authors’ own elaboration</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
				<p>The results demonstrate that the direct relationship between brand awareness and purchase intent is not statistically significant at the 95% confidence level. The indirect relationship of these variables, on the other hand, obtained statistical significance through the constructs perceived quality, brand associations, and brand loyalty. Thus, the existence of total mediation is proven, indicating that the effect of brand awareness on purchase intent (0.6323) is only significant and positive in indirect form, being mediated by the variables perceived quality, brand loyalty and associations with brand.</p>
			</sec>
		</sec>
		<sec sec-type="discussion">
			<title>6. DISCUSSION</title>
			<p>Understanding consumer behavior for a given product and brand represents a complex task that involves different variables. This study investigated the antecedent role of brand awareness in the other dimensions of CBBE and its impact on consumer purchase intention. The findings suggest that brand awareness does not directly impact purchase intention. On the other hand, the relation between these variables is indirectly mediated by CBBE dimensions: perceived quality, loyalty, and brand associations.</p>
			<p>The findings demonstrate that there is a direct and significant relationship between CBBE dimensions (perceived quality, loyalty, and associations) and purchase intention, which resembles previous studies (<xref ref-type="bibr" rid="B45">Ranjbariyan et al., 2012</xref>; <xref ref-type="bibr" rid="B9">Calvo-Porral et al., 2015</xref>; <xref ref-type="bibr" rid="B37">Kim &amp; Kim, 2005</xref>; <xref ref-type="bibr" rid="B33">Jyothsna et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Calvo-Porral &amp; Lévy-Mangin, 2017</xref>). On the other hand, the fact that brand awareness does not directly impact purchase intent differs from previous studies that demonstrated a direct positive relationship (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B57">Wu &amp; Ho, 2014</xref>; <xref ref-type="bibr" rid="B2">Akkucuk &amp; Esmaeili, 2016</xref>).</p>
			<p>These findings may be connected to the fact that brand awareness is only the first step towards consumer perception of other aspects (<xref ref-type="bibr" rid="B52">Su, 2016</xref>). Thus, the fact that a brand is more famous and well-known to people may not be a strong enough reason to influence the decision-making of technology products such as smartphones, which are characterized by high price and tool variation (<xref ref-type="bibr" rid="B57">Wu &amp; Ho, 2014</xref>). In addition, the increased use of online medias to search information and reviews about brands and products, makes a shorter distance between less and better-known brands (<xref ref-type="bibr" rid="B38">Kudeshia &amp; Kumar, 2017</xref>).</p>
			<p>On the other hand, brand awareness has an indirect impact on purchase intent, being mediated by perceived quality, brand associations and brand loyalty. Some brand equity models (e.g. <xref ref-type="bibr" rid="B16">Cobb-Walgren et al., 1995</xref>; <xref ref-type="bibr" rid="B26">Hanzaee &amp; Asadollahi, 2012</xref>) present the dimensions in a linearly and independently way, neglecting the relationship between these dimensions. The rationale behind the antecedent role of brand awareness is clear. The fact that a brand starts to be recognized by the consumer opens a range of possibilities such as the creation of brand associations, perception of quality, and loyalty (<xref ref-type="bibr" rid="B40">Pappu, &amp; Quester, 2016</xref>; <xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>) and it can increase his willingness to buy a product of this brand.</p>
			<p>Studies, such as <xref ref-type="bibr" rid="B59">Yoo and Donthu (2001</xref>), argue that brand awareness and associations should be combined according to their results. However, both variables have different concepts and different consumer behaviors emerge. Brand awareness acts as a variable that enables consumers to have associations with a brand, which would not be possible without this prior knowledge and familiarity (<xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>).</p>
			<p>In addition, the results also demonstrated a positive relationship between awareness and perceived quality, which is aligned with some previous studies (<xref ref-type="bibr" rid="B24">Grewal et al., 1998</xref>; <xref ref-type="bibr" rid="B12">Chi, Yeh, &amp; Yang, 2009</xref>; <xref ref-type="bibr" rid="B47">Severi &amp; Ling, 2013</xref>). This fact demonstrates that familiar and well-known brands generate a perception of quality in the consumers, who, in turn, choose to buy products of these brands because they believe they will have a lower risk associated with the purchase. The mediation role of brand loyalty is also aligned with previous studies (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B40">Pappu &amp; Quester, 2016</xref>). Brand awareness can contribute to greater market penetration and enable the generation of consumer loyalty.</p>
			<p>Given the above, it is understood that brand awareness can still be considered a relevant variable for brand management, even it does not have a direct relationship with purchase intention. Furthermore, the antecedent role of brand awareness in the other dimensions of brand equity demonstrated in this paper, can generate discussions about previously developed models (e.g. <xref ref-type="bibr" rid="B26">Hanzaee &amp; Asadollahi, 2012</xref>) that adapt this variable in the same position as the others.</p>
			<sec>
				<title>6.1. Theoretical and Practical Implications</title>
				<p>From a theoretical point of view, the study contributed integrating the variables that together constitute brand equity with one of its main expected consequences. Some research found in the literature (<xref ref-type="bibr" rid="B16">Cobb-Walgren et al., 1995</xref>; <xref ref-type="bibr" rid="B11">Chen &amp; Chang, 2008</xref>) sought to analyze the relationship of brand equity and purchase intention using CBBE as just a single construct. This research provided an understanding of such variables through empirical study. In addition, as the main theoretical contribution, this study presents brand awareness as a predecessor of the other dimensions of CBBE. It is emphasized, according to the results, that this construct will only indirectly impact the intention to purchase, something that differs from previous studies (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; Malik, 2013; <xref ref-type="bibr" rid="B57">Wu &amp; Ho, 2014</xref>; <xref ref-type="bibr" rid="B2">Akkucuk &amp; Esmaeili, 2016</xref>) that did not control the effect of the other dimensions of CBBE, which may explain the divergence of results.</p>
				<p>The practical contribution of the research is a greater understanding of consumer behavior and the factors that impact brand users’ attitudes. The results allow companies to trace strategies developed for brands, besides the analysis of decision-making through metrics linked to the studied variables, such as brand awareness.</p>
			</sec>
			<sec>
				<title>6.2. Limitations and Future Research</title>
				<p>This study has some limitations enabling challenges for future research. The first concerns the population chosen to be part of this study. Although the sample of students is consistent with the profile of most users of smartphones, the concentration of responses in this type of respondent does not allow the generalization of findings to people with other characteristics, which opens the possibility of future studies that broaden the population and the category of products explored.</p>
				<p>Secondly, participants’ responses were always based on the smartphone brands they currently used. Consequently, the questionnaire was answered based on the user’s past and present experiences. Therefore, future surveys using less well-known predefined brands may contribute to the findings of this study.</p>
				<p>Thirdly, brand awareness includes both recognition and recall (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>). In our study, we used brand awareness as a general construct, not analyzing recall and recognition separately. Future research can include the test of these two dimensions on the model to understand how each one affects brand equity dimensions. Thus, it will be possible to verify if the strength of the relationship is higher in any of the two - recognition and recall.</p>
			</sec>
		</sec>
	</body>
	<back>
		<ref-list>
			<title>REFERENCES</title>
			<ref id="B1">
				<mixed-citation>Aaker, D. A. (1996). Measuring brand equity across products and markets.<italic>California management review</italic>,<italic>38</italic>(3), 102-120</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Aaker</surname>
							<given-names>D. A.</given-names>
						</name>
					</person-group>
					<year>1996</year>
					<article-title>Measuring brand equity across products and markets</article-title>
					<source>California management review</source>
					<volume>38</volume>
					<issue>3</issue>
					<fpage>102</fpage>
					<lpage>120</lpage>
				</element-citation>
			</ref>
			<ref id="B2">
				<mixed-citation>Akkucuk, U., &amp; Esmaeili, J. (2016). The Impact of Brands on Consumer Buying Behavior.<italic>International Journal of Research in Business and Social Science (2147-4478)</italic>, 5(4), 1-16.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Akkucuk</surname>
							<given-names>U.</given-names>
						</name>
						<name>
							<surname>Esmaeili</surname>
							<given-names>J.</given-names>
						</name>
					</person-group>
					<year>2016</year>
					<article-title>The Impact of Brands on Consumer Buying Behavior</article-title>
					<source>International Journal of Research in Business and Social Science (2147-4478)</source>
					<volume>5</volume>
					<issue>4</issue>
					<fpage>1</fpage>
					<lpage>16</lpage>
				</element-citation>
			</ref>
			<ref id="B3">
				<mixed-citation>Assael, H., &amp; Day, G. S. (1968). Attitudes and awareness as predictors of market share.<italic>Journal of Advertising Research</italic>, 8(4), 3-10.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Assael</surname>
							<given-names>H.</given-names>
						</name>
						<name>
							<surname>Day</surname>
							<given-names>G. S.</given-names>
						</name>
					</person-group>
					<year>1968</year>
					<article-title>Attitudes and awareness as predictors of market share</article-title>
					<source>Journal of Advertising Research</source>
					<volume>8</volume>
					<issue>4</issue>
					<fpage>3</fpage>
					<lpage>10</lpage>
				</element-citation>
			</ref>
			<ref id="B4">
				<mixed-citation>Atilgan, E., Aksoy, S., &amp; Akinci, S. (2005). Determinants of the brand equity: A verification approach in the beverage industry in Turkey.<italic>Marketing intelligence &amp; planning</italic>,<italic>23</italic>(3), 237-248.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Atilgan</surname>
							<given-names>E.</given-names>
						</name>
						<name>
							<surname>Aksoy</surname>
							<given-names>S.</given-names>
						</name>
						<name>
							<surname>Akinci</surname>
							<given-names>S.</given-names>
						</name>
					</person-group>
					<year>2005</year>
					<article-title>Determinants of the brand equity: A verification approach in the beverage industry in Turkey</article-title>
					<source>Marketing intelligence &amp; planning</source>
					<volume>23</volume>
					<issue>3</issue>
					<fpage>237</fpage>
					<lpage>248</lpage>
				</element-citation>
			</ref>
			<ref id="B5">
				<mixed-citation>Baker, M. J., &amp; Churchill Jr, G. A. (1977). The impact of physically attractive models on advertising evaluations.<italic>Journal of Marketing research</italic>,<italic>14</italic>(4), 538-555. </mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Baker</surname>
							<given-names>M. J.</given-names>
						</name>
						<name>
							<surname>Churchill</surname>
							<given-names>G. A.</given-names>
							<suffix>Jr</suffix>
						</name>
					</person-group>
					<year>1977</year>
					<article-title>The impact of physically attractive models on advertising evaluations</article-title>
					<source>Journal of Marketing research</source>
					<volume>14</volume>
					<issue>4</issue>
					<fpage>538</fpage>
					<lpage>555</lpage>
				</element-citation>
			</ref>
			<ref id="B6">
				<mixed-citation>Boicu, M. C., Cruz, A., &amp; Karamanos, A. (2015). The Influence of Online Reviews on Brand Equity and Purchase Intention of Smartphones and Tablets in Romania.<italic>Marketing and Consumer Behavior</italic>, 719-728.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Boicu</surname>
							<given-names>M. C.</given-names>
						</name>
						<name>
							<surname>Cruz</surname>
							<given-names>A.</given-names>
						</name>
						<name>
							<surname>Karamanos</surname>
							<given-names>A.</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>The Influence of Online Reviews on Brand Equity and Purchase Intention of Smartphones and Tablets in Romania</article-title>
					<source>Marketing and Consumer Behavior</source>
					<fpage>719</fpage>
					<lpage>728</lpage>
				</element-citation>
			</ref>
			<ref id="B7">
				<mixed-citation>Burnett, J., &amp; Hutton, R. B. (2007). New consumers need new brands.<italic>Journal of Product &amp; Brand Management</italic>,<italic>16</italic>(5), 342-347.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Burnett</surname>
							<given-names>J.</given-names>
						</name>
						<name>
							<surname>Hutton</surname>
							<given-names>R. B.</given-names>
						</name>
					</person-group>
					<year>2007</year>
					<article-title>New consumers need new brands</article-title>
					<source>Journal of Product &amp; Brand Management</source>
					<volume>16</volume>
					<issue>5</issue>
					<fpage>342</fpage>
					<lpage>347</lpage>
				</element-citation>
			</ref>
			<ref id="B8">
				<mixed-citation>Calvo-Porral, C., &amp; Lévy-Mangin, J. P. (2017). Store brands’ purchase intention: Examining the role of perceived quality.<italic>European Research on Management and Business Economics</italic>,<italic>23</italic>(2), 90-95.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Calvo-Porral</surname>
							<given-names>C.</given-names>
						</name>
						<name>
							<surname>Lévy-Mangin</surname>
							<given-names>J. P.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>Store brands’ purchase intention: Examining the role of perceived quality</article-title>
					<source>European Research on Management and Business Economics</source>
					<volume>23</volume>
					<issue>2</issue>
					<fpage>90</fpage>
					<lpage>95</lpage>
				</element-citation>
			</ref>
			<ref id="B9">
				<mixed-citation>Calvo-Porral, C., Martínez-Fernández, V. A., Juanatey-Boga, O., Mangín, L., &amp; Pierre, J. (2015). Measuring the influence of customer-based store brand equity in the purchase intention. <italic>Cuadernos de gestión</italic>, <italic>15</italic>(1), 93-117.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Calvo-Porral</surname>
							<given-names>C.</given-names>
						</name>
						<name>
							<surname>Martínez-Fernández</surname>
							<given-names>V. A.</given-names>
						</name>
						<name>
							<surname>Juanatey-Boga</surname>
							<given-names>O.</given-names>
						</name>
						<name>
							<surname>Mangín</surname>
							<given-names>L.</given-names>
						</name>
						<name>
							<surname>Pierre</surname>
							<given-names>J.</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>Measuring the influence of customer-based store brand equity in the purchase intention</article-title>
					<source>Cuadernos de gestión</source>
					<volume>15</volume>
					<issue>1</issue>
					<fpage>93</fpage>
					<lpage>117</lpage>
				</element-citation>
			</ref>
			<ref id="B10">
				<mixed-citation>Chan, H. Y., Boksem, M., &amp; Smidts, A. (2018). Neural profiling of brands: Mapping brand image in consumers’ brains with visual templates.<italic>Journal of Marketing Research</italic>,<italic>55</italic>(4), 600-615.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Chan</surname>
							<given-names>H. Y.</given-names>
						</name>
						<name>
							<surname>Boksem</surname>
							<given-names>M.</given-names>
						</name>
						<name>
							<surname>Smidts</surname>
							<given-names>A.</given-names>
						</name>
					</person-group>
					<year>2018</year>
					<article-title>Neural profiling of brands: Mapping brand image in consumers’ brains with visual templates</article-title>
					<source>Journal of Marketing Research</source>
					<volume>55</volume>
					<issue>4</issue>
					<fpage>600</fpage>
					<lpage>615</lpage>
				</element-citation>
			</ref>
			<ref id="B11">
				<mixed-citation>Chen, C. F., &amp; Chang, Y. Y. (2008). Airline brand equity, brand preference, and purchase intentions-The moderating effects of switching costs.<italic>Journal of Air Transport Management</italic>,<italic>14</italic>(1), 40-42.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Chen</surname>
							<given-names>C. F.</given-names>
						</name>
						<name>
							<surname>Chang</surname>
							<given-names>Y. Y.</given-names>
						</name>
					</person-group>
					<year>2008</year>
					<article-title>Airline brand equity, brand preference, and purchase intentions-The moderating effects of switching costs</article-title>
					<source>Journal of Air Transport Management</source>
					<volume>14</volume>
					<issue>1</issue>
					<fpage>40</fpage>
					<lpage>42</lpage>
				</element-citation>
			</ref>
			<ref id="B12">
				<mixed-citation>Chi, H. K., Yeh, H. R., &amp; Yang, Y. T. (2009). The impact of brand awareness on consumer purchase intention: The mediating effect of perceived quality and brand loyalty.<italic>The journal of international management studies</italic>, 4(1), 135-144.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Chi</surname>
							<given-names>H. K.</given-names>
						</name>
						<name>
							<surname>Yeh</surname>
							<given-names>H. R.</given-names>
						</name>
						<name>
							<surname>Yang</surname>
							<given-names>Y. T.</given-names>
						</name>
					</person-group>
					<year>2009</year>
					<article-title>The impact of brand awareness on consumer purchase intention: The mediating effect of perceived quality and brand loyalty</article-title>
					<source>The journal of international management studies</source>
					<volume>4</volume>
					<issue>1</issue>
					<fpage>135</fpage>
					<lpage>144</lpage>
				</element-citation>
			</ref>
			<ref id="B13">
				<mixed-citation>Chinomona, R., &amp; Maziriri, E. T. (2017). The influence of brand awareness, brand association and product quality on brand loyalty and repurchase intention: a case of male consumers for cosmetic brands in South Africa.<italic>Journal of Business and Retail Management Research</italic>,<italic>12</italic>(1).</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Chinomona</surname>
							<given-names>R.</given-names>
						</name>
						<name>
							<surname>Maziriri</surname>
							<given-names>E. T.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>The influence of brand awareness, brand association and product quality on brand loyalty and repurchase intention: a case of male consumers for cosmetic brands in South Africa</article-title>
					<source>Journal of Business and Retail Management Research</source>
					<volume>12</volume>
					<issue>1</issue>
				</element-citation>
			</ref>
			<ref id="B14">
				<mixed-citation>Christodoulides, G., &amp; De Chernatony, L. (2010). Consumer-based brand equity conceptualization and measurement: A literature review.<italic>International journal of research in marketing</italic>,<italic>52</italic>(1), 43-66.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Christodoulides</surname>
							<given-names>G.</given-names>
						</name>
						<name>
							<surname>De Chernatony</surname>
							<given-names>L.</given-names>
						</name>
					</person-group>
					<year>2010</year>
					<article-title>Consumer-based brand equity conceptualization and measurement: A literature review</article-title>
					<source>International journal of research in marketing</source>
					<volume>52</volume>
					<issue>1</issue>
					<fpage>43</fpage>
					<lpage>66</lpage>
				</element-citation>
			</ref>
			<ref id="B15">
				<mixed-citation>Christodoulides, G., Cadogan, J. W., &amp; Veloutsou, C. (2015). Consumer-based brand equity measurement: lessons learned from an international study.<italic>International Marketing Review</italic>,<italic>32</italic>(3/4), 307-328.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Christodoulides</surname>
							<given-names>G.</given-names>
						</name>
						<name>
							<surname>Cadogan</surname>
							<given-names>J. W.</given-names>
						</name>
						<name>
							<surname>Veloutsou</surname>
							<given-names>C.</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>Consumer-based brand equity measurement: lessons learned from an international study</article-title>
					<source>International Marketing Review</source>
					<volume>32</volume>
					<issue>3/4</issue>
					<fpage>307</fpage>
					<lpage>328</lpage>
				</element-citation>
			</ref>
			<ref id="B16">
				<mixed-citation>Cobb-Walgren, C. J., Ruble, C. A., &amp; Donthu, N. (1995). Brand equity, brand preference, and purchase intent.<italic>Journal of advertising</italic>,<italic>24</italic>(3), 25-40.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Cobb-Walgren</surname>
							<given-names>C. J.</given-names>
						</name>
						<name>
							<surname>Ruble</surname>
							<given-names>C. A.</given-names>
						</name>
						<name>
							<surname>Donthu</surname>
							<given-names>N.</given-names>
						</name>
					</person-group>
					<year>1995</year>
					<article-title>Brand equity, brand preference, and purchase intent</article-title>
					<source>Journal of advertising</source>
					<volume>24</volume>
					<issue>3</issue>
					<fpage>25</fpage>
					<lpage>40</lpage>
				</element-citation>
			</ref>
			<ref id="B17">
				<mixed-citation>da Costa, M. F., de Moraes Patriota, A. L., &amp; de Angelo, C. F. (2017). Propagandas de apelo emocional e utilitário: efeitos na atitude do consumidor e na percepção do brand equity de um celular Samsung. <italic>REGE-Revista de Gestão</italic>, <italic>24</italic>(3), 268-280.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>da Costa</surname>
							<given-names>M. F.</given-names>
						</name>
						<name>
							<surname>de Moraes Patriota</surname>
							<given-names>A. L.</given-names>
						</name>
						<name>
							<surname>de Angelo</surname>
							<given-names>C. F.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>Propagandas de apelo emocional e utilitário: efeitos na atitude do consumidor e na percepção do brand equity de um celular Samsung</article-title>
					<source>REGE-Revista de Gestão</source>
					<volume>24</volume>
					<issue>3</issue>
					<fpage>268</fpage>
					<lpage>280</lpage>
				</element-citation>
			</ref>
			<ref id="B18">
				<mixed-citation>Das, G. (2015). Linkages between self-congruity, brand familiarity, perceived quality and purchase intention: A study of fashion retail brands.<italic>Journal of Global Fashion Marketing</italic>, 6(3), 180-193.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Das</surname>
							<given-names>G.</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>Linkages between self-congruity, brand familiarity, perceived quality and purchase intention: A study of fashion retail brands</article-title>
					<source>Journal of Global Fashion Marketing</source>
					<volume>6</volume>
					<issue>3</issue>
					<fpage>180</fpage>
					<lpage>193</lpage>
				</element-citation>
			</ref>
			<ref id="B19">
				<mixed-citation>Dew, L., &amp; Kwon, W. (2010). Exploration of apparel brand knowledge brand awareness, brand association, and brand category structure. <italic>Clothing and Textiles Research Journal</italic>, <italic>28</italic>(1), 3-18.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Dew</surname>
							<given-names>L.</given-names>
						</name>
						<name>
							<surname>Kwon</surname>
							<given-names>W.</given-names>
						</name>
					</person-group>
					<year>2010</year>
					<article-title>Exploration of apparel brand knowledge brand awareness, brand association, and brand category structure</article-title>
					<source>Clothing and Textiles Research Journal</source>
					<volume>28</volume>
					<issue>1</issue>
					<fpage>3</fpage>
					<lpage>18</lpage>
				</element-citation>
			</ref>
			<ref id="B20">
				<mixed-citation>Desai, P. S., Kalra, A., &amp; Murthi, B. P. S. (2008). When old is gold: The role of business longevity in risky situations. <italic>Journal of Marketing</italic>, <italic>72</italic>(1), 95-107.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Desai</surname>
							<given-names>P. S.</given-names>
						</name>
						<name>
							<surname>Kalra</surname>
							<given-names>A.</given-names>
						</name>
						<name>
							<surname>Murthi</surname>
							<given-names>B. P. S.</given-names>
						</name>
					</person-group>
					<year>2008</year>
					<article-title>When old is gold: The role of business longevity in risky situations</article-title>
					<source>Journal of Marketing</source>
					<volume>72</volume>
					<issue>1</issue>
					<fpage>95</fpage>
					<lpage>107</lpage>
				</element-citation>
			</ref>
			<ref id="B21">
				<mixed-citation>Do Paço, A., Rodrigues, L., &amp; Rodrigues, R. G. (2015). Brand Image and Awareness in the Third Sector and their Influence on the Intention to Donate.<italic>Brazilian Business Review</italic>,<italic>12</italic>(5), 97-117.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Do Paço</surname>
							<given-names>A.</given-names>
						</name>
						<name>
							<surname>Rodrigues</surname>
							<given-names>L.</given-names>
						</name>
						<name>
							<surname>Rodrigues</surname>
							<given-names>R. G.</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>Brand Image and Awareness in the Third Sector and their Influence on the Intention to Donate</article-title>
					<source>Brazilian Business Review</source>
					<volume>12</volume>
					<issue>5</issue>
					<fpage>97</fpage>
					<lpage>117</lpage>
				</element-citation>
			</ref>
			<ref id="B22">
				<mixed-citation>Foroudi, P., Jin, Z., Gupta, S., Foroudi, M. M., &amp; Kitchen, P. J. (2018). Perceptional components of brand equity: Configuring the Symmetrical and Asymmetrical Paths to brand loyalty and brand purchase intention.<italic>Journal of Business Research</italic>,<italic>89</italic>, 462-474.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Foroudi</surname>
							<given-names>P.</given-names>
						</name>
						<name>
							<surname>Jin</surname>
							<given-names>Z.</given-names>
						</name>
						<name>
							<surname>Gupta</surname>
							<given-names>S.</given-names>
						</name>
						<name>
							<surname>Foroudi</surname>
							<given-names>M. M.</given-names>
						</name>
						<name>
							<surname>Kitchen</surname>
							<given-names>P. J.</given-names>
						</name>
					</person-group>
					<year>2018</year>
					<article-title>Perceptional components of brand equity: Configuring the Symmetrical and Asymmetrical Paths to brand loyalty and brand purchase intention</article-title>
					<source>Journal of Business Research</source>
					<volume>89</volume>
					<fpage>462</fpage>
					<lpage>474</lpage>
				</element-citation>
			</ref>
			<ref id="B23">
				<mixed-citation>French, A., &amp; Smith, G. (2013). Measuring brand association strength: a consumer-based brand equity approach.<italic>European Journal of Marketing</italic>,<italic>47</italic>(8), 1356-1367.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>French</surname>
							<given-names>A.</given-names>
						</name>
						<name>
							<surname>Smith</surname>
							<given-names>G.</given-names>
						</name>
					</person-group>
					<year>2013</year>
					<article-title>Measuring brand association strength: a consumer-based brand equity approach</article-title>
					<source>European Journal of Marketing</source>
					<volume>47</volume>
					<issue>8</issue>
					<fpage>1356</fpage>
					<lpage>1367</lpage>
				</element-citation>
			</ref>
			<ref id="B24">
				<mixed-citation>Grewal, D., Monroe, K. B., &amp; Krishnan, R. (1998). The effects of price-comparison advertising on buyers’ perceptions of acquisition value, transaction value, and behavioral intentions.<italic>Journal of marketing</italic>,<italic>62</italic>(2), 46-59.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Grewal</surname>
							<given-names>D.</given-names>
						</name>
						<name>
							<surname>Monroe</surname>
							<given-names>K. B.</given-names>
						</name>
						<name>
							<surname>Krishnan</surname>
							<given-names>R.</given-names>
						</name>
					</person-group>
					<year>1998</year>
					<article-title>The effects of price-comparison advertising on buyers’ perceptions of acquisition value, transaction value, and behavioral intentions</article-title>
					<source>Journal of marketing</source>
					<volume>62</volume>
					<issue>2</issue>
					<fpage>46</fpage>
					<lpage>59</lpage>
				</element-citation>
			</ref>
			<ref id="B25">
				<mixed-citation>Hair Jr, J. F., Hult, G. T. M., Ringle, C., &amp; Sarstedt, M. (2017).<italic>A primer on partial least squares structural equation modeling (PLS-SEM)</italic>. Sage publications.</mixed-citation>
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Hair</surname>
							<given-names>J. F.</given-names>
							<suffix>Jr</suffix>
						</name>
						<name>
							<surname>Hult</surname>
							<given-names>G. T. M.</given-names>
						</name>
						<name>
							<surname>Ringle</surname>
							<given-names>C.</given-names>
						</name>
						<name>
							<surname>Sarstedt</surname>
							<given-names>M.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<source>A primer on partial least squares structural equation modeling (PLS-SEM)</source>
					<publisher-name>Sage publications</publisher-name>
				</element-citation>
			</ref>
			<ref id="B26">
				<mixed-citation>Hanzaee, K. H., &amp; Asadollahi, A. (2012). Investigating the effect of brand equity and brand preference on purchase intention.<italic>Research Journal of Applied Sciences, Engineering and Technology</italic>, 4(10), 1414-1423.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Hanzaee</surname>
							<given-names>K. H.</given-names>
						</name>
						<name>
							<surname>Asadollahi</surname>
							<given-names>A.</given-names>
						</name>
					</person-group>
					<year>2012</year>
					<article-title>Investigating the effect of brand equity and brand preference on purchase intention</article-title>
					<source>Research Journal of Applied Sciences, Engineering and Technology</source>
					<volume>4</volume>
					<issue>10</issue>
					<fpage>1414</fpage>
					<lpage>1423</lpage>
				</element-citation>
			</ref>
			<ref id="B27">
				<mixed-citation>Hayes, A. F. (2018).<italic>Introduction to mediation, moderation, and conditional process analysis: A regression-based approach</italic>. Guilford Publications.</mixed-citation>
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Hayes</surname>
							<given-names>A. F.</given-names>
						</name>
					</person-group>
					<year>2018</year>
					<source>Introduction to mediation, moderation, and conditional process analysis: A regression-based approach</source>
					<publisher-name>Guilford Publications</publisher-name>
				</element-citation>
			</ref>
			<ref id="B28">
				<mixed-citation>Hayes, A. F., Montoya, A. K., &amp; Rockwood, N. J. (2017). The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling.<italic>Australasian Marketing Journal (AMJ)</italic>,<italic>25</italic>(1), 76-81.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Hayes</surname>
							<given-names>A. F.</given-names>
						</name>
						<name>
							<surname>Montoya</surname>
							<given-names>A. K.</given-names>
						</name>
						<name>
							<surname>Rockwood</surname>
							<given-names>N. J.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling</article-title>
					<source>Australasian Marketing Journal (AMJ)</source>
					<volume>25</volume>
					<issue>1</issue>
					<fpage>76</fpage>
					<lpage>81</lpage>
				</element-citation>
			</ref>
			<ref id="B29">
				<mixed-citation>Huang, R., &amp; Sarigöllü, E. (2014). How brand awareness relates to market outcome, brand equity, and the marketing mix. <italic>Fashion Branding and Consumer Behaviors</italic>(pp. 113-132). Springer, New York, NY. </mixed-citation>
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Huang</surname>
							<given-names>R.</given-names>
						</name>
						<name>
							<surname>Sarigöllü</surname>
							<given-names>E.</given-names>
						</name>
					</person-group>
					<year>2014</year>
					<chapter-title>How brand awareness relates to market outcome, brand equity, and the marketing mix</chapter-title>
					<source>Fashion Branding and Consumer Behaviors</source>
					<fpage>113</fpage>
					<lpage>132</lpage>
					<publisher-name>Springer</publisher-name>
					<publisher-loc>New York, NY</publisher-loc>
				</element-citation>
			</ref>
			<ref id="B30">
				<mixed-citation>Interbrand(2019). <italic>Best Global Brands 2018 Rankings</italic>. Recuperado em 06 setembro, 2019 de <comment> Recuperado em 06 setembro, 2019 de <ext-link ext-link-type="uri" xlink:href="https://www.interbrand.com/best-brands/best-global-brands/2018/ranking/">https://www.interbrand.com/best-brands/best-global-brands/2018/ranking/</ext-link>
					</comment>
				</mixed-citation>
				<element-citation publication-type="webpage">
					<person-group person-group-type="author">
						<collab>Interbrand</collab>
					</person-group>
					<year>2019</year>
					<source>Best Global Brands 2018 Rankings</source>
					<date-in-citation content-type="access-date" iso-8601-date="2019-09-06">06 setembro, 2019 </date-in-citation>
					<comment> Recuperado em 06 setembro, 2019 de <ext-link ext-link-type="uri" xlink:href="https://www.interbrand.com/best-brands/best-global-brands/2018/ranking/">https://www.interbrand.com/best-brands/best-global-brands/2018/ranking/</ext-link>
					</comment>
				</element-citation>
			</ref>
			<ref id="B31">
				<mixed-citation>Jing, Z., Pitsaphol, C., &amp; Shabbir, R. (2014). The relationship of brand equity dimensions: A case study of Samsung brand in Thailand.<italic>European Journal of Business and Management</italic>, 6(16), 182-189.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Jing</surname>
							<given-names>Z.</given-names>
						</name>
						<name>
							<surname>Pitsaphol</surname>
							<given-names>C.</given-names>
						</name>
						<name>
							<surname>Shabbir</surname>
							<given-names>R.</given-names>
						</name>
					</person-group>
					<year>2014</year>
					<article-title>The relationship of brand equity dimensions: A case study of Samsung brand in Thailand</article-title>
					<source>European Journal of Business and Management</source>
					<volume>6</volume>
					<issue>16</issue>
					<fpage>182</fpage>
					<lpage>189</lpage>
				</element-citation>
			</ref>
			<ref id="B32">
				<mixed-citation>Jung, J., &amp; Shen, D. (2011). Brand equity of luxury fashion brands among Chinese and US young female consumers.<italic>Journal of East-West Business</italic>,<italic>17</italic>(1), 48-69.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Jung</surname>
							<given-names>J.</given-names>
						</name>
						<name>
							<surname>Shen</surname>
							<given-names>D.</given-names>
						</name>
					</person-group>
					<year>2011</year>
					<article-title>Brand equity of luxury fashion brands among Chinese and US young female consumers</article-title>
					<source>Journal of East-West Business</source>
					<volume>17</volume>
					<issue>1</issue>
					<fpage>48</fpage>
					<lpage>69</lpage>
				</element-citation>
			</ref>
			<ref id="B33">
				<mixed-citation>Jyothsna, M., Mahalakshmi, S., &amp; Sandeep, P. N. (2016). Role of Brand Equity and Brand Identity on Preferences of Smartphones among Students.<italic>Pacific Business Review International</italic>, 8(11), 44-53.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Jyothsna</surname>
							<given-names>M.</given-names>
						</name>
						<name>
							<surname>Mahalakshmi</surname>
							<given-names>S.</given-names>
						</name>
						<name>
							<surname>Sandeep</surname>
							<given-names>P. N.</given-names>
						</name>
					</person-group>
					<year>2016</year>
					<article-title>Role of Brand Equity and Brand Identity on Preferences of Smartphones among Students</article-title>
					<source>Pacific Business Review International</source>
					<volume>8</volume>
					<issue>11</issue>
					<fpage>44</fpage>
					<lpage>53</lpage>
				</element-citation>
			</ref>
			<ref id="B34">
				<mixed-citation>Keller, K. L. (1993). Conceptualizing, measuring, and managing customer-based brand equity.<italic>Journal of marketing</italic>,<italic>57</italic>(1), 1-22.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Keller</surname>
							<given-names>K. L.</given-names>
						</name>
					</person-group>
					<year>1993</year>
					<article-title>Conceptualizing, measuring, and managing customer-based brand equity</article-title>
					<source>Journal of marketing</source>
					<volume>57</volume>
					<issue>1</issue>
					<fpage>1</fpage>
					<lpage>22</lpage>
				</element-citation>
			</ref>
			<ref id="B35">
				<mixed-citation>Keller, K. L., &amp; Lehmann, D. R. (2006). Brands and branding: Research findings and future priorities.<italic>Marketing science</italic>,<italic>25</italic>(6), 740-759.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Keller</surname>
							<given-names>K. L.</given-names>
						</name>
						<name>
							<surname>Lehmann</surname>
							<given-names>D. R.</given-names>
						</name>
					</person-group>
					<year>2006</year>
					<article-title>Brands and branding: Research findings and future priorities</article-title>
					<source>Marketing science</source>
					<volume>25</volume>
					<issue>6</issue>
					<fpage>740</fpage>
					<lpage>759</lpage>
				</element-citation>
			</ref>
			<ref id="B36">
				<mixed-citation>Kim, D., Chun, H., &amp; Lee, H. (2014). Determining the factors that influence college students’ adoption of smartphones.<italic>Journal of the Association for information Science and Technology</italic>,<italic>65</italic>(3), 578-588.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Kim</surname>
							<given-names>D.</given-names>
						</name>
						<name>
							<surname>Chun</surname>
							<given-names>H.</given-names>
						</name>
						<name>
							<surname>Lee</surname>
							<given-names>H.</given-names>
						</name>
					</person-group>
					<year>2014</year>
					<article-title>Determining the factors that influence college students’ adoption of smartphones</article-title>
					<source>Journal of the Association for information Science and Technology</source>
					<volume>65</volume>
					<issue>3</issue>
					<fpage>578</fpage>
					<lpage>588</lpage>
				</element-citation>
			</ref>
			<ref id="B37">
				<mixed-citation>Kim, H. B., &amp; Kim, W. G. (2005). The relationship between brand equity and firms’ performance in luxury hotels and chain restaurants.<italic>Tourism management</italic>,<italic>26</italic>(4), 549-560.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Kim</surname>
							<given-names>H. B.</given-names>
						</name>
						<name>
							<surname>Kim</surname>
							<given-names>W. G.</given-names>
						</name>
					</person-group>
					<year>2005</year>
					<article-title>The relationship between brand equity and firms’ performance in luxury hotels and chain restaurants</article-title>
					<source>Tourism management</source>
					<volume>26</volume>
					<issue>4</issue>
					<fpage>549</fpage>
					<lpage>560</lpage>
				</element-citation>
			</ref>
			<ref id="B38">
				<mixed-citation>Kudeshia, C., &amp; Kumar, A. (2017). Social eWOM: does it affect the brand attitude and purchase intention of brands?<italic>Management Research Review</italic>.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Kudeshia</surname>
							<given-names>C.</given-names>
						</name>
						<name>
							<surname>Kumar</surname>
							<given-names>A.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>Social eWOM: does it affect the brand attitude and purchase intention of brands?</article-title>
					<source>Management Research Review</source>
				</element-citation>
			</ref>
			<ref id="B39">
				<mixed-citation>Michel, G., &amp; Donthu, N. (2014). Why negative brand extension evaluations do not always negatively affect the brand: The role of central and peripheral brand associations.<italic>Journal of Business Research</italic>,<italic>67</italic>(12), 2611-2619.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Michel</surname>
							<given-names>G.</given-names>
						</name>
						<name>
							<surname>Donthu</surname>
							<given-names>N.</given-names>
						</name>
					</person-group>
					<year>2014</year>
					<article-title>Why negative brand extension evaluations do not always negatively affect the brand: The role of central and peripheral brand associations</article-title>
					<source>Journal of Business Research</source>
					<volume>67</volume>
					<issue>12</issue>
					<fpage>2611</fpage>
					<lpage>2619</lpage>
				</element-citation>
			</ref>
			<ref id="B40">
				<mixed-citation>Pappu, R., &amp; Quester, P. G. (2016). How does brand innovativeness affect brand loyalty?<italic>European Journal of Marketing</italic>,<italic>50</italic>(1/2), 2-28.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Pappu</surname>
							<given-names>R.</given-names>
						</name>
						<name>
							<surname>Quester</surname>
							<given-names>P. G.</given-names>
						</name>
					</person-group>
					<year>2016</year>
					<article-title>How does brand innovativeness affect brand loyalty?</article-title>
					<source>European Journal of Marketing</source>
					<volume>50</volume>
					<issue>1/2</issue>
					<fpage>2</fpage>
					<lpage>28</lpage>
				</element-citation>
			</ref>
			<ref id="B41">
				<mixed-citation>Pedeliento, G., Andreini, D., Bergamaschi, M., &amp; Salo, J. (2016). Brand and product attachment in an industrial context: The effects on brand loyalty.<italic>Industrial Marketing Management</italic>,<italic>53</italic>, 194-206.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Pedeliento</surname>
							<given-names>G.</given-names>
						</name>
						<name>
							<surname>Andreini</surname>
							<given-names>D.</given-names>
						</name>
						<name>
							<surname>Bergamaschi</surname>
							<given-names>M.</given-names>
						</name>
						<name>
							<surname>Salo</surname>
							<given-names>J.</given-names>
						</name>
					</person-group>
					<year>2016</year>
					<article-title>Brand and product attachment in an industrial context: The effects on brand loyalty</article-title>
					<source>Industrial Marketing Management</source>
					<volume>53</volume>
					<fpage>194</fpage>
					<lpage>206</lpage>
				</element-citation>
			</ref>
			<ref id="B42">
				<mixed-citation>Petrick, J. F. (2004). The roles of quality, value, and satisfaction in predicting cruise passengers’ behavioral intentions.<italic>Journal of travel research</italic>,<italic>42</italic>(4), 397-407.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Petrick</surname>
							<given-names>J. F.</given-names>
						</name>
					</person-group>
					<year>2004</year>
					<article-title>The roles of quality, value, and satisfaction in predicting cruise passengers’ behavioral intentions</article-title>
					<source>Journal of travel research</source>
					<volume>42</volume>
					<issue>4</issue>
					<fpage>397</fpage>
					<lpage>407</lpage>
				</element-citation>
			</ref>
			<ref id="B43">
				<mixed-citation>Pitta, D. A., &amp; Prevel Katsanis, L. (1995). Understanding brand equity for successful brand extension.<italic>Journal of consumer marketing</italic>,<italic>12</italic>(4), 51-64.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Pitta</surname>
							<given-names>D. A.</given-names>
						</name>
						<name>
							<surname>Prevel Katsanis</surname>
							<given-names>L.</given-names>
						</name>
					</person-group>
					<year>1995</year>
					<article-title>Understanding brand equity for successful brand extension</article-title>
					<source>Journal of consumer marketing</source>
					<volume>12</volume>
					<issue>4</issue>
					<fpage>51</fpage>
					<lpage>64</lpage>
				</element-citation>
			</ref>
			<ref id="B44">
				<mixed-citation>Pullig, C., Simmons, C. J., &amp; Netemeyer, R. G. (2006). Brand dilution: when do new brands hurt existing brands?<italic>Journal of Marketing</italic>,<italic>70</italic>(2), 52-66.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Pullig</surname>
							<given-names>C.</given-names>
						</name>
						<name>
							<surname>Simmons</surname>
							<given-names>C. J.</given-names>
						</name>
						<name>
							<surname>Netemeyer</surname>
							<given-names>R. G.</given-names>
						</name>
					</person-group>
					<year>2006</year>
					<article-title>Brand dilution: when do new brands hurt existing brands?</article-title>
					<source>Journal of Marketing</source>
					<volume>70</volume>
					<issue>2</issue>
					<fpage>52</fpage>
					<lpage>66</lpage>
				</element-citation>
			</ref>
			<ref id="B45">
				<mixed-citation>Ranjbariyan, B., Shahin, A., &amp; Jafari, S. (2012). Investigating the Influence of Customers’ Feeling and Judgment on Their Loyalty with Emphasize on Brand Equity The Case of Isfahan Crystal and Glass Products.<italic>Australian Journal of Basic and Applied Sciences</italic>, 6(9), 517-524.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Ranjbariyan</surname>
							<given-names>B.</given-names>
						</name>
						<name>
							<surname>Shahin</surname>
							<given-names>A.</given-names>
						</name>
						<name>
							<surname>Jafari</surname>
							<given-names>S.</given-names>
						</name>
					</person-group>
					<year>2012</year>
					<article-title>Investigating the Influence of Customers’ Feeling and Judgment on Their Loyalty with Emphasize on Brand Equity The Case of Isfahan Crystal and Glass Products</article-title>
					<source>Australian Journal of Basic and Applied Sciences</source>
					<volume>6</volume>
					<issue>9</issue>
					<fpage>517</fpage>
					<lpage>524</lpage>
				</element-citation>
			</ref>
			<ref id="B46">
				<mixed-citation>Romaniuk, J., Wight, S., &amp; Faulkner, M. (2017). Brand awareness: revisiting an old metric for a new world.<italic>Journal of Product &amp; Brand Management</italic>,<italic>26</italic>(5), 469-476.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Romaniuk</surname>
							<given-names>J.</given-names>
						</name>
						<name>
							<surname>Wight</surname>
							<given-names>S.</given-names>
						</name>
						<name>
							<surname>Faulkner</surname>
							<given-names>M.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>Brand awareness: revisiting an old metric for a new world</article-title>
					<source>Journal of Product &amp; Brand Management</source>
					<volume>26</volume>
					<issue>5</issue>
					<fpage>469</fpage>
					<lpage>476</lpage>
				</element-citation>
			</ref>
			<ref id="B47">
				<mixed-citation>Severi, E., &amp; Ling, K. C. (2013). The mediating effects of brand association, brand loyalty, brand image and perceived quality on brand equity.<italic>Asian Social Science</italic>, 9(3), 125.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Severi</surname>
							<given-names>E.</given-names>
						</name>
						<name>
							<surname>Ling</surname>
							<given-names>K. C.</given-names>
						</name>
					</person-group>
					<year>2013</year>
					<article-title>The mediating effects of brand association, brand loyalty, brand image and perceived quality on brand equity</article-title>
					<source>Asian Social Science</source>
					<volume>9</volume>
					<issue>3</issue>
					<elocation-id>125</elocation-id>
				</element-citation>
			</ref>
			<ref id="B48">
				<mixed-citation>Shah, R. (2012), A confirmatory factor analysis on brand equity in mobile handset market: SEM approach. <italic>Journal of Brand Management</italic>, 9(3), 40-54.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Shah</surname>
							<given-names>R.</given-names>
						</name>
					</person-group>
					<year>2012</year>
					<article-title>A confirmatory factor analysis on brand equity in mobile handset market: SEM approach</article-title>
					<source>Journal of Brand Management</source>
					<volume>9</volume>
					<issue>3</issue>
					<fpage>40</fpage>
					<lpage>54</lpage>
				</element-citation>
			</ref>
			<ref id="B49">
				<mixed-citation>Sharma, V., Singh, R., &amp; Patel, G. N. (2015). Measuring the effect of brand equity on the consumers’ purchase intention.<italic>International Journal of Services Technology and Management</italic>,<italic>21</italic>(1-3), 98-110.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Sharma</surname>
							<given-names>V.</given-names>
						</name>
						<name>
							<surname>Singh</surname>
							<given-names>R.</given-names>
						</name>
						<name>
							<surname>Patel</surname>
							<given-names>G. N.</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>Measuring the effect of brand equity on the consumers’ purchase intention</article-title>
					<source>International Journal of Services Technology and Management</source>
					<volume>21</volume>
					<issue>1-3</issue>
					<fpage>98</fpage>
					<lpage>110</lpage>
				</element-citation>
			</ref>
			<ref id="B50">
				<mixed-citation>Statista (2019a). <italic>Number of smartphones sold to end users worldwide from 2007 to 2018</italic>. Recuperado em 06 maio, 2019 de <comment> Recuperado em 06 maio, 2019 de <ext-link ext-link-type="uri" xlink:href="https://www.statista.com/statistics/263437/global-smartphone-sales-to-end-users-since-2007/.">https://www.statista.com/statistics/263437/global-smartphone-sales-to-end-users-since-2007/.</ext-link>
					</comment>
				</mixed-citation>
				<element-citation publication-type="webpage">
					<person-group person-group-type="author">
						<collab>Statista</collab>
					</person-group>
					<year>2019</year>
					<source>Number of smartphones sold to end users worldwide from 2007 to 2018</source>
					<date-in-citation content-type="access-date" iso-8601-date="2019-05-06">06 maio, 2019</date-in-citation>
					<comment> Recuperado em 06 maio, 2019 de <ext-link ext-link-type="uri" xlink:href="https://www.statista.com/statistics/263437/global-smartphone-sales-to-end-users-since-2007/.">https://www.statista.com/statistics/263437/global-smartphone-sales-to-end-users-since-2007/.</ext-link>
					</comment>
				</element-citation>
			</ref>
			<ref id="B51">
				<mixed-citation>Statista (2019b). <italic>Do you personally use a smartphone? - by age</italic>. Recuperado em 11 setembro, 2019 de <comment> Recuperado em 11 setembro, 2019 de <ext-link ext-link-type="uri" xlink:href="https://www.statista.com/statistics/300402/smartphone-usage-in-the-uk-by-age/.">https://www.statista.com/statistics/300402/smartphone-usage-in-the-uk-by-age/.</ext-link>
					</comment>
				</mixed-citation>
				<element-citation publication-type="webpage">
					<person-group person-group-type="author">
						<collab>Statista</collab>
					</person-group>
					<year>2019</year>
					<source>Do you personally use a smartphone? - by age</source>
					<date-in-citation content-type="access-date" iso-8601-date="2019-09-11">11 setembro, 2019 </date-in-citation>
					<comment> Recuperado em 11 setembro, 2019 de <ext-link ext-link-type="uri" xlink:href="https://www.statista.com/statistics/300402/smartphone-usage-in-the-uk-by-age/.">https://www.statista.com/statistics/300402/smartphone-usage-in-the-uk-by-age/.</ext-link>
					</comment>
				</element-citation>
			</ref>
			<ref id="B52">
				<mixed-citation>Su, J. (2016). Examining the relationships among the brand equity dimensions: empirical evidence from fast fashion.<italic>Asia Pacific Journal of Marketing and Logistics</italic>,<italic>28</italic>(3), 464-480.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Su</surname>
							<given-names>J.</given-names>
						</name>
					</person-group>
					<year>2016</year>
					<article-title>Examining the relationships among the brand equity dimensions: empirical evidence from fast fashion</article-title>
					<source>Asia Pacific Journal of Marketing and Logistics</source>
					<volume>28</volume>
					<issue>3</issue>
					<fpage>464</fpage>
					<lpage>480</lpage>
				</element-citation>
			</ref>
			<ref id="B53">
				<mixed-citation>Tariq, M., Abbas, T., Abrar, M., &amp; Iqbal, A. (2017). EWOM and brand awareness impact on consumer purchase intention: mediating role of brand image. <italic>Pakistan Administrative Review</italic>, 1(1), 84-102.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Tariq</surname>
							<given-names>M.</given-names>
						</name>
						<name>
							<surname>Abbas</surname>
							<given-names>T.</given-names>
						</name>
						<name>
							<surname>Abrar</surname>
							<given-names>M.</given-names>
						</name>
						<name>
							<surname>Iqbal</surname>
							<given-names>A.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>EWOM and brand awareness impact on consumer purchase intention: mediating role of brand image</article-title>
					<source>Pakistan Administrative Review</source>
					<volume>1</volume>
					<issue>1</issue>
					<fpage>84</fpage>
					<lpage>102</lpage>
				</element-citation>
			</ref>
			<ref id="B54">
				<mixed-citation>Veloutsou, C., &amp; Guzman, F. (2017). The evolution of brand management thinking over the last 25 years as recorded in the Journal of Product and Brand Management.<italic>Journal of Product &amp; Brand Management</italic>,<italic>26</italic>(1), 2-12.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Veloutsou</surname>
							<given-names>C.</given-names>
						</name>
						<name>
							<surname>Guzman</surname>
							<given-names>F.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>The evolution of brand management thinking over the last 25 years as recorded in the Journal of Product and Brand Management</article-title>
					<source>Journal of Product &amp; Brand Management</source>
					<volume>26</volume>
					<issue>1</issue>
					<fpage>2</fpage>
					<lpage>12</lpage>
				</element-citation>
			</ref>
			<ref id="B55">
				<mixed-citation>Vieira, V. A., Sincorá, L. A., Pelissari, A. S., &amp; Carneiro, T. C. J. (2018). O Valor da Marca pela Perspectiva do Consumidor: Um Modelo Conceitual.<italic>Caderno Profissional de Marketing-UNIMEP</italic>, 6(2), 125-139.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Vieira</surname>
							<given-names>V. A.</given-names>
						</name>
						<name>
							<surname>Sincorá</surname>
							<given-names>L. A.</given-names>
						</name>
						<name>
							<surname>Pelissari</surname>
							<given-names>A. S.</given-names>
						</name>
						<name>
							<surname>Carneiro</surname>
							<given-names>T. C. J.</given-names>
						</name>
					</person-group>
					<year>2018</year>
					<article-title>O Valor da Marca pela Perspectiva do Consumidor: Um Modelo Conceitual</article-title>
					<source>Caderno Profissional de Marketing-UNIMEP</source>
					<volume>6</volume>
					<issue>2</issue>
					<fpage>125</fpage>
					<lpage>139</lpage>
				</element-citation>
			</ref>
			<ref id="B56">
				<mixed-citation>Wang, Y. H. (2017). Are Investors Willing to Buy Non-award-wining Funds from Awarded Fund Companies?<italic>Journal of Applied Finance and Banking</italic>, 7(1), 79.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Wang</surname>
							<given-names>Y. H.</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>Are Investors Willing to Buy Non-award-wining Funds from Awarded Fund Companies?</article-title>
					<source>Journal of Applied Finance and Banking</source>
					<volume>7</volume>
					<issue>1</issue>
					<elocation-id>79</elocation-id>
				</element-citation>
			</ref>
			<ref id="B57">
				<mixed-citation>Wu, S. I., &amp; Ho, L. P. (2014). The influence of perceived innovation and brand awareness on purchase intention of innovation product-an example of iPhone.<italic>International Journal of Innovation and Technology Management</italic>,<italic>11</italic>(04), 1450026.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Wu</surname>
							<given-names>S. I.</given-names>
						</name>
						<name>
							<surname>Ho</surname>
							<given-names>L. P.</given-names>
						</name>
					</person-group>
					<year>2014</year>
					<article-title>The influence of perceived innovation and brand awareness on purchase intention of innovation product-an example of iPhone</article-title>
					<source>International Journal of Innovation and Technology Management</source>
					<volume>11</volume>
					<issue>04</issue>
					<elocation-id>1450026</elocation-id>
				</element-citation>
			</ref>
			<ref id="B58">
				<mixed-citation>Xu, F., Li, Y., &amp; Zhou, J. (2015). Brand awareness for entrepreneurial hotel chains: Perceived quality and brand loyalty.<italic>The Anthropologist</italic>,<italic>19</italic>(3), 763-771.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Xu</surname>
							<given-names>F.</given-names>
						</name>
						<name>
							<surname>Li</surname>
							<given-names>Y.</given-names>
						</name>
						<name>
							<surname>Zhou</surname>
							<given-names>J.</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>Brand awareness for entrepreneurial hotel chains: Perceived quality and brand loyalty</article-title>
					<source>The Anthropologist</source>
					<volume>19</volume>
					<issue>3</issue>
					<fpage>763</fpage>
					<lpage>771</lpage>
				</element-citation>
			</ref>
			<ref id="B59">
				<mixed-citation>Yoo, B., &amp; Donthu, N. (2001). Developing and validating a multidimensional consumer-based brand equity scale.<italic>Journal of business research</italic>,<italic>52</italic>(1), 1-14.</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Yoo</surname>
							<given-names>B.</given-names>
						</name>
						<name>
							<surname>Donthu</surname>
							<given-names>N.</given-names>
						</name>
					</person-group>
					<year>2001</year>
					<article-title>Developing and validating a multidimensional consumer-based brand equity scale</article-title>
					<source>Journal of business research</source>
					<volume>52</volume>
					<issue>1</issue>
					<fpage>1</fpage>
					<lpage>14</lpage>
				</element-citation>
			</ref>
		</ref-list>
		<fn-group>
			<fn fn-type="other" id="fn1">
				<label>ORIGEN OF THE ARTICLE</label>
				<p> This study is part of the master’s dissertation carried out by the first author under the supervision of the second author in the Post-Graduate Business Administration Course. There is no conflict of interest in this article.</p>
			</fn>
		</fn-group>
		<app-group>
			<app id="app1">
				<label>APPENDIX A</label>
				<p>
					<table-wrap id="t100">
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left">Variables</th>
									<th align="left">Itens</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left" rowspan="5">
										<italic>Loyalty</italic> (adapted from <xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>)</td>
									<td align="left">LO01 - I consider myself to be loyal to this brand.</td>
								</tr>
								<tr>
									<td align="left">LO02 - This brand would be my first choice.</td>
								</tr>
								<tr>
									<td align="left">LO03 - I will not buy other brands if this brand is available.</td>
								</tr>
								<tr>
									<td align="left">LO04 - I am willing to pay a higher price for this brand compared to others.</td>
								</tr>
								<tr>
									<td align="left">LO05 - I am committed to this brand.</td>
								</tr>
								<tr>
									<td align="left" rowspan="5">
										<italic>Perceived Quality</italic> (adapted from <xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>)</td>
									<td align="left">PQ01 - This brand is of high quality</td>
								</tr>
								<tr>
									<td align="left">PQ02 - The likely quality of this brand is extremely high.</td>
								</tr>
								<tr>
									<td align="left">PQ03 - The likelihood that this brand will fit my needs is very high.</td>
								</tr>
								<tr>
									<td align="left">PQ04 - The likelihood that this brand is reliable is very high.</td>
								</tr>
								<tr>
									<td align="left">PQ05 - This brand seems to me to be of very good quality.</td>
								</tr>
								<tr>
									<td align="left" rowspan="5">
										<italic>Brand Associations</italic> (adapted from <xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>)</td>
									<td align="left">AS01 - Some characteristics of this brand come to my mind.</td>
								</tr>
								<tr>
									<td align="left">AS02 - I can quickly remember the symbol or logo of this brand.</td>
								</tr>
								<tr>
									<td align="left">AS03 - I can easily imagine this brand in my head.</td>
								</tr>
								<tr>
									<td align="left">AS04 - I have strong associations with this brand.</td>
								</tr>
								<tr>
									<td align="left">AS05 - I have favorable associations for this brand.</td>
								</tr>
								<tr>
									<td align="left" rowspan="5">
										<italic>Brand Awareness</italic> (adapted from <xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>; <xref ref-type="bibr" rid="B48">Shah, 2012</xref>)</td>
									<td align="left">AW01 - I understand the meaning of this brand.</td>
								</tr>
								<tr>
									<td align="left">AW02 - I can identify this brand among competitors.</td>
								</tr>
								<tr>
									<td align="left">AW03 - I have knowledge about this brand.</td>
								</tr>
								<tr>
									<td align="left">AW04 - I am quite familiar with this brand.</td>
								</tr>
								<tr>
									<td align="left">AW05 - I believe most people know this brand.</td>
								</tr>
								<tr>
									<td align="left" rowspan="5">
										<italic>Purchase Intention</italic> (adapted from <xref ref-type="bibr" rid="B5">Baker &amp; Churchill, 1977</xref>; <xref ref-type="bibr" rid="B24">Grewal et al., 1998</xref>)</td>
									<td align="left">PI01 - I would like to try this brand more often.</td>
								</tr>
								<tr>
									<td align="left">PI02 - I would buy from this brand if I saw it in a store / website.</td>
								</tr>
								<tr>
									<td align="left">PI03 - I would actively look for this brand.</td>
								</tr>
								<tr>
									<td align="left">PI04 - I am likely to buy this brand more often.</td>
								</tr>
								<tr>
									<td align="left">PI05 - I want to buy smartphones of this brand.</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN9">
								<p>
									<bold>
										<italic>Source:</italic>
									</bold> Authors’ own elaboration.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
			</app>
			<app id="app2">
				<label>APÊNDICE A</label>
				<p>
					<table-wrap id="t200">
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left">Construtos</th>
									<th align="left">Itens</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left" rowspan="5">Lealdade (adaptado de <xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>)</td>
									<td align="left">LE01 - Eu me considero leal à esta marca.</td>
								</tr>
								<tr>
									<td align="left">LE02 - Esta marca é a minha primeira opção.</td>
								</tr>
								<tr>
									<td align="left">LE03 - Eu não compro outra marca se esta marca está disponível.</td>
								</tr>
								<tr>
									<td align="left">LE04 - Eu estou disposto a pagar um preço mais alto por esta marca em relação à outras.</td>
								</tr>
								<tr>
									<td align="left">LE05 - Eu estou comprometido com esta marca.</td>
								</tr>
								<tr>
									<td align="left" rowspan="5">Qualidade Percebida (adaptado de <xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>)</td>
									<td align="left">QP01 - Esta marca é de alta qualidade.</td>
								</tr>
								<tr>
									<td align="left">QP02 - Eu geralmente espero que a qualidade desta marca seja extremamente alta.</td>
								</tr>
								<tr>
									<td align="left">QP03 - A chance de que esta marca sirva para minhas necessidades é muito alta.</td>
								</tr>
								<tr>
									<td align="left">QP04 - A probabilidade de que esta marca seja confiável é muito alta.</td>
								</tr>
								<tr>
									<td align="left">QP05 - Esta marca me parece ser de muito boa qualidade.</td>
								</tr>
								<tr>
									<td align="left" rowspan="5">Associações (adaptado de <xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>)</td>
									<td align="left">AS01 - Algumas características desta marca vêm à minha cabeça.</td>
								</tr>
								<tr>
									<td align="left">AS02 - Eu rapidamente posso lembrar o símbolo ou logotipo desta marca.</td>
								</tr>
								<tr>
									<td align="left">AS03 - Eu tenho facilidade de imaginar esta marca na minha cabeça.</td>
								</tr>
								<tr>
									<td align="left">AS04 - Tenho associações fortes à esta marca.</td>
								</tr>
								<tr>
									<td align="left">AS05 - Tenho associações favoráveis à esta marca.</td>
								</tr>
								<tr>
									<td align="left" rowspan="5">Consciência (adaptado de <xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>; <xref ref-type="bibr" rid="B48">Shah, 2012</xref>)</td>
									<td align="left">CO01 - Eu entendo o significado desta marca.</td>
								</tr>
								<tr>
									<td align="left">CO02 - Eu posso identificar esta marca entre as concorrentes.</td>
								</tr>
								<tr>
									<td align="left">CO03 - Eu tenho conhecimento desta marca.</td>
								</tr>
								<tr>
									<td align="left">CO04 - Eu estou bastante familiarizado com esta marca.</td>
								</tr>
								<tr>
									<td align="left">CO05 - Eu acredito que a maioria das pessoas conhecem esta marca.</td>
								</tr>
								<tr>
									<td align="left" rowspan="5">Intenção de Compra (adaptado de <xref ref-type="bibr" rid="B5">Baker &amp; Churchill, 1977</xref>; <xref ref-type="bibr" rid="B24">Grewal et al., 1998</xref>)</td>
									<td align="left">IC01 - Eu gostaria de experimentar mais vezes esta marca.</td>
								</tr>
								<tr>
									<td align="left">IC02 - Eu compraria desta marca se visse em uma loja/site.</td>
								</tr>
								<tr>
									<td align="left">IC03 - Eu procuraria ativamente esta marca.</td>
								</tr>
								<tr>
									<td align="left">IC04 - É provável que eu compre mais vezes esta marca.</td>
								</tr>
								<tr>
									<td align="left">IC05 - Eu tenho vontade de comprar smartphones desta marca.</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN10">
								<p>
									<bold>
										<italic>Fonte:</italic>
									</bold> Elaborado pelos autores.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
			</app>
		</app-group>
	</back>
	<!--<sub-article article-type="translation" id="s1" xml:lang="pt">
		<front-stub>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Artigo</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>A Consciência da Marca Influencia a Intenção de Compra? O Papel Mediador das Dimensões do Valor da Marca</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-1352-1660</contrib-id>
					<name>
						<surname>Azzari</surname>
						<given-names>Vitor</given-names>
					</name>
					<xref ref-type="aff" rid="aff10">
						<sup>1</sup>
					</xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-1567-8159</contrib-id>
					<name>
						<surname>Pelissari</surname>
						<given-names>Anderson</given-names>
					</name>
					<xref ref-type="aff" rid="aff20">
						<sup>2</sup>
					</xref>
				</contrib>
			</contrib-group>
			<aff id="aff10">
				<label>1</label>
				<institution content-type="original"> Fundação Getulio Vargas (FGV EAESP), São Paulo, SP, Brasil</institution>
				<institution content-type="orgname">Fundação Getulio Vargas</institution>
				<addr-line>
					<city>São Paulo</city>
					<state>SP</state>
				</addr-line>
				<country country="BR">Brasil</country>
			</aff>
			<aff id="aff20">
				<label>2</label>
				<institution content-type="original"> Universidade Federal do Espírito Santo, Vitória, ES, Brasil</institution>
				<institution content-type="orgname">Universidade Federal do Espírito Santo</institution>
				<addr-line>
					<city>Vitória</city>
					<state>ES</state>
				</addr-line>
				<country country="BR">Brasil</country>
			</aff>
			<author-notes>
				<corresp id="c10">
					<email>vitor.azzari@gmail.com</email>
				</corresp>
				<corresp id="c20">
					<email>asoncinipelissari@gmail.com</email>
				</corresp>
			</author-notes>
			<abstract>
				<title>RESUMO </title>
				<p>Este artigo teve como objetivo identificar o papel antecedente da consciência da marca em outras dimensões do <italic>consumer-based brand equity</italic> (CBBE) e seu impacto na intenção de compra. É um estudo quantitativo baseado em uma pesquisa realizada com 622 usuários de smartphones. O teste de hipóteses foi realizado por modelagem de equações estruturais (PLS-MEE) e regressão de mínimos quadrados ordinários (OLS) para analisar o efeito da mediação. Os resultados demonstram que a consciência da marca não afeta diretamente a intenção de compra. Essa relação existe apenas quando mediada pelas três dimensões do CBBE: qualidade percebida, associações de marca e lealdade à marca. Os resultados deste estudo possuem duas contribuições principais. Primeiro, demonstra que conhecer uma marca não é suficiente para gerar a intenção de compra dos consumidores. Segundo, usa o efeito mediador das outras dimensões do CBBE (associações, lealdade e qualidade percebida) para demonstrar que a consciência da marca atua como um primeiro passo na construção de valor da marca para os consumidores.</p>
			</abstract>
			<kwd-group xml:lang="pt">
				<title>PALAVRAS-CHAVE</title>
				<kwd>Consciência da marca</kwd>
				<kwd>Valor da marca</kwd>
				<kwd>Intenção de compra</kwd>
				<kwd>Smartphones</kwd>
			</kwd-group>
		</front-stub>
		<body>
			<sec sec-type="intro">
				<title>1. INTRODUÇÃO</title>
				<p>A dedicação crescente das empresas na construção de uma marca forte e competitiva aos olhos dos consumidores se tornou um dos fatores-chave e prioritários no ambiente organizacional (<xref ref-type="bibr" rid="B15">Christodoulides, Cadogan, &amp; Veloutsou, 2015</xref>). Esse fato se deve ao importante papel da marca nas tomadas de decisões dos consumidores (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>), tornando a gestão da marca algo necessário para trazer melhores desempenhos para as organizações e desenvolver vantagens perante os seus concorrentes (<xref ref-type="bibr" rid="B6">Boicu, Cruz, &amp; Karamanos, 2015</xref>). A relevância do estudo da marca trouxe o interesse da comunidade acadêmica e profissional em discussões a respeito do seu valor pela perspectiva do consumidor. O chamado <italic>consumer-based brand equity (CBBE)</italic> passou a ser estudado sendo definido como o conjunto de ativos que o nome e o símbolo da marca detêm em relação a um produto (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B1">Aaker, 1996</xref>).</p>
				<p>Devido à complexidade e subjetividade envolvendo a percepção do <italic>brand equity</italic>, desenvolver uma conceituação e mensuração do CBBE incluindo suas dimensões formadoras e seus resultados esperados é uma tarefa desafiadora (<xref ref-type="bibr" rid="B15">Christodoulides et al., 2015</xref>). Ao longo dos anos, diferentes dimensões do CBBE foram identificadas e discutidas pelas comunidades acadêmica e profissional (<xref ref-type="bibr" rid="B14">Christodoulides &amp; Chernatony, 2010</xref>; <xref ref-type="bibr" rid="B54">Veloutsou &amp; Guzman, 2017</xref>). Permeando por essa multiplicidade de conceituações desenvolvidas ao longo dos anos, o modelo de <xref ref-type="bibr" rid="B1">Aaker (1996</xref>) se destaca como o mais adotado até os dias de hoje (<xref ref-type="bibr" rid="B55">Viera, Sincorá, Pelissari, &amp; Carneiro, 2018</xref>). Esse autor identificou que o <italic>brand equity</italic> é composto pela lealdade à marca, qualidade percebida, consciência da marca e associações à marca. Por meio dessas dimensões, o <italic>brand equity</italic> seria capaz de proporcionar um maior valor para a empresa por meio do aumento de preços e margens, vantagem competitiva e geração de maior intenção de compra dos consumidores (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>).</p>
				<p>Entretanto, por se tratar de um construto multidimensional, ressalta-se a importância de analisar os efeitos e impactos de cada uma das dimensões do <italic>brand equity</italic> e como elas se relacionam entre si (<xref ref-type="bibr" rid="B52">Su, 2016</xref>). Dentre as dimensões, a consciência da marca pode ser considerada a mais negligenciada e com maiores possibilidades de discussões e divergências de pensamentos (<xref ref-type="bibr" rid="B46">Romaniuk, Wight, &amp; Faulkner, 2017</xref>). Ela é o grau que os consumidores estão cientes de que aquela marca faz parte de uma categoria de produtos (<xref ref-type="bibr" rid="B3">Assael &amp; Day, 1968</xref>). Estudos anteriores defendem que a consciência da marca exerce um impacto positivo e direto na intenção de compra (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B57">Wu &amp; Ho, 2014</xref>; <xref ref-type="bibr" rid="B2">Akkucuk &amp; Esmaeili, 2016</xref>). Entretanto, o surgimento e crescimento de novas marcas nos últimos anos pode mostrar que o fato de o consumidor apenas ter conhecimento da marca que está sendo comercializada não indica uma percepção positiva ou negativa sobre a marca e pode ser apenas o primeiro passo para a geração de atitudes e comportamentos com a marca (<xref ref-type="bibr" rid="B52">Su, 2016</xref>). </p>
				<p>Portanto, a consciência da marca por si só pode não ser o suficiente para fazer com que o consumidor tenha uma maior intenção de compra em relação às marcas desconhecidas. Por outro lado, esse construto pode permitir que outras relações positivas com a marca apareçam, como a qualidade percebida, a lealdade com a marca e as associações à marca (<xref ref-type="bibr" rid="B24">Grewal et al., 1998</xref>; <xref ref-type="bibr" rid="B40">Pappu, &amp; Quester, 2016</xref>; <xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>) e, dessa forma, gerar a intenção de compra. Portanto, diante do que foi exposto, este estudo buscou identificar o papel de antecedente da consciência da marca nas demais dimensões do <italic>consumer-based brand equity</italic> e seu impacto na intenção de compra.</p>
				<p>Para isso, o objeto de estudo escolhido foram as marcas de smartphones. Essa escolha se justifica pelo fato de esse produto ser um dos mais utilizados atualmente pela população mundial (<xref ref-type="bibr" rid="B50">Statista, 2019a</xref>). Além disso, os smartphones detêm uma crescente importância no mercado global e podem possuir diferentes características, possuindo um ciclo médio de substituição e custo baixo, médio ou alto a depender das especificações do produto (<xref ref-type="bibr" rid="B36">Kim, Chun, &amp; Lee, 2014</xref>; <xref ref-type="bibr" rid="B33">Jyothsna, Mahalakshmi, &amp; Sandeep, 2016</xref>). Ressalta-se, também, que entre as 10 maiores marcas do mundo, seis estão ligadas ao segmento de tecnologia, e quatro delas desenvolvem smartphones (<xref ref-type="bibr" rid="B30">Interbrand, 2019</xref>).</p>
				<p>Para cumprir o objetivo, realizamos uma pesquisa com 622 usuários de smartphones. Os dados foram analisados por meio de modelagem de equações estruturais (PLS-MEE) e regressão de mínimos quadrados ordinários (OLS) pelo Macro Process. Os resultados fornecem evidências mostrando que a consciência da marca exerce um papel predecessor em outras dimensões do valor da marca: lealdade à marca, associações à marca e qualidade percebida. Por sua vez, essas dimensões medeiam a relação entre a consciência da marca e a intenção de compra.</p>
				<p>Este estudo se faz relevante pelas discussões divergentes que ocorrem acerca da relação entre as dimensões do CBBE. Ao longo dos anos, é comum identificar pesquisas anteriores que alocam as quatro dimensões do CBBE de forma linear e independentes entre si no comportamento do consumidor (<xref ref-type="bibr" rid="B16">Cobb-Walgren et al., 1995</xref>; <xref ref-type="bibr" rid="B26">Hanzaee &amp; Asadollahi, 2012</xref>). Entretanto, ainda há espaços para discussão sobre o papel dessas dimensões e suas relações (<xref ref-type="bibr" rid="B47">Severi &amp; Ling, 2013</xref>). Além disso, pretende-se contribuir com as empresas e marcas trazendo uma nova perspectiva da consciência da marca, mostrando que tal variável pode ser utilizada como um precursor das demais para a construção de uma marca forte pela perspectiva do consumidor.</p>
			</sec>
			<sec>
				<title>2. O VALOR DA MARCA PELA PERSPECTIVA DO CONSUMIDOR</title>
				<p>O valor da marca pela perspectiva do consumidor, também chamado de CBBE (<italic>consumer-based brand equity),</italic> pode ser definido como o conjunto de ativos vinculados ao nome e o símbolo da marca e que geram valor um produto/serviço entregue ao consumidor (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>) ou como o efeito diferencial do conhecimento da marca na resposta do consumidor ao marketing da marca (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>). De acordo com <xref ref-type="bibr" rid="B1">Aaker (1996</xref>), o <italic>brand equity</italic> é um construto multidimensional composto por quatro dimensões, sendo elas: a consciência da marca, a qualidade percebida, as associações à marca e a lealdade à marca.</p>
				<p>Em estudos anteriores, o CBBE indicou ter um papel importante para o consumidor no ato de decisão de compra, principalmente nas etapas de busca por informações e avaliação das alternativas (<xref ref-type="bibr" rid="B32">Jung &amp; Shen, 2011</xref>; <xref ref-type="bibr" rid="B9">Calvo-Porral et al., 2015</xref>; <xref ref-type="bibr" rid="B2">Akkucuk &amp; Esmaeili, 2016</xref>; <xref ref-type="bibr" rid="B49">Sharma et al., 2015</xref>). Marcas com um poder maior diminuem o tempo e o custo de pesquisa dos consumidores, reduzindo o esforço para realizar a escolha de um bom produto e o risco da compra não atingir as expectativas (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>). <xref ref-type="bibr" rid="B33">Jyothsna, et al. (2016</xref>) sugerem que o valor da marca exerce um importante papel na formação da intenção de compra do consumidor, fazendo com que os consumidores tenham essa marca como uma das suas primeiras opções de compra. <xref ref-type="bibr" rid="B9">Calvo-Porral et al. (2015</xref>) sugerem o cuidado dos gestores na consideração de cada uma das dimensões do CBBE ao desenvolverem as estratégias de marketing das organizações. Por outro lado, partindo do princípio de que o CBBE é visto como um conceito multidimensional (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>), faz-se necessária a análise de cada uma de suas dimensões descritas a seguir.</p>
				<p>
					<italic>Associações à marca:</italic> são um importante ingrediente da percepção da marca e ocorrem quando o consumidor pensa em determinada marca e desenvolve algum tipo de associação estando ligado à memória que se possui sobre ela (<xref ref-type="bibr" rid="B39">Michel &amp; Donthu, 2014</xref>). Essas associações podem incluir atributos do produto, estilo de vida, personalidade ou símbolos (<xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>). Trata-se de uma espécie de mecanismo que ajuda o consumidor a lembrar-se da marca de uma forma mais rápida. Assim, quanto maior for a experiência com a marca, maior será a força das associações (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>).</p>
				<p>
					<italic>Consciência da marca</italic>: pode ser definida como a força que a marca tem na mente do consumidor (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>). O reconhecimento da marca envolve dois elementos principais: recordar e reconhecer (<xref ref-type="bibr" rid="B35">Keller &amp; Lehmann, 2006</xref>). É possível fazer uma analogia desse conceito com os cartazes publicitários. Se a mente dos consumidores tivesse vários cartazes com cada um fazendo referência a uma marca, a consciência seria baseada no tamanho dos cartazes, ou seja, quanto maior for o cartaz, maior será a consciência sobre aquela determinada marca, referindo-se à capacidade do consumidor de se recordar da marca como integrante de certa categoria de produtos (<xref ref-type="bibr" rid="B29">Huang &amp; Sarigölü, 2014</xref>; <xref ref-type="bibr" rid="B17">Da Costa, Patriotra, &amp; Angelo, 2017</xref>).</p>
				<p>
					<italic>Qualidade percebida:</italic> é definida como o conhecimento que o consumidor possui da qualidade geral ou da superioridade de uma marca ao compará-la com outras (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>). Esse construto, portanto, é considerado alto ou baixo de acordo com a percepção intangível do consumidor (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>; <xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>). Já para <xref ref-type="bibr" rid="B20">Desai, Kalra e Murthi (2008</xref>), a qualidade percebida refere-se ao conhecimento do consumidor sobre o que ele vê e sente quando olha e/ou toca um produto de determinada marca.</p>
				<p>
					<italic>Lealdade à marca:</italic> é um dos principais ativos do CBBE<italic>.</italic> É a medida da ligação entre o consumidor e a marca, e a probabilidade que o cliente tem de mudar de marca quando ela realiza alguma mudança de preço ou produto (<xref ref-type="bibr" rid="B1">Aaker, 1996</xref>). Tal dimensão também é definida como uma resposta positiva comportamental ou emocional do consumidor em relação a determinada marca (<xref ref-type="bibr" rid="B41">Pedeliento et al., 2016</xref>).</p>
			</sec>
			<sec>
				<title>3. A RELAÇÃO ENTRE CONSCIÊNCIA DA MARCA, AS DIMENSÕES DO CBBE E INTENÇÃO DE COMPRA</title>
				<p>Quando se analisa o fato de que várias marcas novas no mercado estão surgindo e competindo de igual para igual com marcas já consolidadas (<xref ref-type="bibr" rid="B44">Pullig, Simmons, &amp; Netemeyer, 2006</xref>;), percebe-se que nem sempre o conhecimento e a ciência dos consumidores em relação à existência da marca de determinada categoria de produtos é um motivo forte o suficiente para afetar de forma direta a intenção de compra (<xref ref-type="bibr" rid="B7">Burnett &amp; Hutton, 2007</xref>). Isso também pode estar atrelado ao avanço tecnológico e às altas variações de preços e ferramentas dependendo do modelo do produto que é oferecido, fazendo com que o consumidor dê mais atenção a esses atributos do que o fato de a marca ser conhecida ou não (<xref ref-type="bibr" rid="B57">Wu &amp; Ho, 2014</xref>).</p>
				<p>
					<list list-type="simple">
						<list-item>
							<p>H1: Não há relação direta entre a consciência da marca e a intenção de compra.</p>
						</list-item>
					</list>
				</p>
				<p>Por outro lado, o fato de a marca ser conhecida abre um leque de oportunidades para que os consumidores possam desenvolver comportamentos e atitudes positivas, como as outras dimensões do CBBE: a percepção de qualidade, as associações à marca e a lealdade (<xref ref-type="bibr" rid="B24">Grewal et al., 1998</xref>; <xref ref-type="bibr" rid="B40">Pappu, &amp; Quester, 2016</xref>; <xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>).</p>
				<p>Quando consumidores possuem maior consciência sobre determinada marca, maior é a confiança e a capacidade de se tornarem leais a ela, já que marcas com baixo nível de consciência podem ter maiores dificuldades para penetrar no mercado (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>). O reconhecimento da marca é visto como um precursor da lealdade à marca (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B40">Pappu, &amp; Quester, 2016</xref>). Autores que desenvolveram estudos empíricos indicaram uma relação positiva entre reconhecimento e lealdade à marca em diferentes setores, como cosméticos (<xref ref-type="bibr" rid="B13">Chinomona &amp; Maziriri, 2017</xref>), hospitalidade (<xref ref-type="bibr" rid="B58">Xu, Li, &amp; Zhou, 2015</xref>) e smartphones (<xref ref-type="bibr" rid="B31">Jing, Pitsaphol, &amp; Shabbir, 2014</xref>).</p>
				<p>
					<list list-type="simple">
						<list-item>
							<p>H2a: há uma relação positiva entre a consciência da marca e a lealdade à marca.</p>
						</list-item>
					</list>
				</p>
				<p>Por sua vez, o aumento da lealdade à marca faz com que o consumidor tenha maior possibilidade de comprar seus produtos, além de criar a possibilidade de recompra e aumentar as palavras positivas sobre a marca (<xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>). Além disso, também criam a possibilidade de aumentar o volume de vendas, atrair novos consumidores e proporciona uma alavancagem comercial por meio dos canais de distribuição, os quais optam pela segurança de marcas que possuem clientes leais (<xref ref-type="bibr" rid="B48">Ranjbariyan, Shahin, &amp; Jafari, 2012</xref>). Outros estudos empíricos também validaram o impacto positivo da lealdade à marca na intenção de compra dos consumidores, afirmando que os compradores leais tendem indicar a marca para outras pessoas e a continuar comprando produtos da marca mesmo se o preço for maior do que os dos concorrentes (<xref ref-type="bibr" rid="B9">Porral et al.<italic>,</italic> 2015</xref>; <xref ref-type="bibr" rid="B37">Kim &amp; Kim, 2005</xref>; <xref ref-type="bibr" rid="B2">Akkucuk &amp; Esmaeili, 2016</xref>).</p>
				<p>
					<list list-type="simple">
						<list-item>
							<p>H2b: há uma relação positiva entre a lealdade à marca e a intenção de compra.</p>
						</list-item>
					</list>
				</p>
				<p>Se os consumidores já ouviram falar de uma marca em algum momento e tiveram experiências, mesmo que indiretas, com ela, as possibilidades da geração de associações à marca se abrem (<xref ref-type="bibr" rid="B10">Chan, Boksem &amp; Smidts, 2018</xref>). Assim, depois que os consumidores estão cientes da marca, algumas imagens e percepções sobre ela podem surgir em suas mentes (<xref ref-type="bibr" rid="B53">Tariq, Abbas, Abrar, &amp; Iqbal, 2017</xref>). Segundo Shafiri (2014), a consciência da marca afeta diretamente o pensamento cognitivo e a cognição, que podem ser considerados dimensões das associações à marca. <xref ref-type="bibr" rid="B43">Pitta &amp; Katsanis (1995</xref>) argumentam que a consciência da marca permite serem construídas e incorporadas associações de marca e do produto na memória do consumidor. Portanto, há evidências da conexão entre a consciência e as associações à marca em que o primeiro precede o último (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B19">Dew &amp; Kwon, 2010</xref>; <xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>).</p>
				<p>
					<list list-type="simple">
						<list-item>
							<p>H3a: há uma relação positiva entre consciência da marca e associações à marca.</p>
						</list-item>
					</list>
				</p>
				<p>E, por sua vez, as associações à marca podem apresentar um impacto significativo no comportamento de compra do consumidor (<xref ref-type="bibr" rid="B23">French &amp; Smith, 2013</xref>), já que as associações geram valor de diferentes formas, como no auxílio do processamento e encontro das informações, além de estabelecer diferenciação e posicionamento e criar sentimentos positivos em relação à marca (<xref ref-type="bibr" rid="B19">Dew &amp; Kwon, 2010</xref>; <xref ref-type="bibr" rid="B33">Jyothsna et al., 2016</xref>). <xref ref-type="bibr" rid="B21">Paço, Rodrigues e Rodrigues (2015</xref>) argumentam que algumas dimensões positivas específicas das associações à marca, como utilidade e afeto, impactam a intenção de compra do consumidor.</p>
				<p>
					<list list-type="simple">
						<list-item>
							<p>H3b: há uma relação positiva entre associações à marca e intenção de compra.</p>
						</list-item>
					</list>
				</p>
				<p>Já sobre a qualidade percebida, estudos anteriores defendem que os consumidores preferem comprar produtos de marcas familiares e conhecidas por acreditarem que os produtos terão maior qualidade, tendo assim menor risco em sua compra (<xref ref-type="bibr" rid="B20">Desai, Kalra &amp; Murthi, 2008</xref>; <xref ref-type="bibr" rid="B18">Das, 2015</xref>; <xref ref-type="bibr" rid="B8">Calvo-Porral &amp; Lévy-Mangin, 2017</xref>). Autores testaram em diferentes contextos a relação entre a qualidade percebida e a consciência da marca e identificaram que a percepção do consumidor sobre a marca melhora à medida que já tem certa familiaridade com ela (<xref ref-type="bibr" rid="B24">Grewal et al., 1998</xref>; <xref ref-type="bibr" rid="B12">Chi, Yeh, &amp; Yang, 2009</xref>; <xref ref-type="bibr" rid="B47">Severi &amp; Ling, 2013</xref>). </p>
				<p>
					<list list-type="simple">
						<list-item>
							<p>H4a: há uma relação positiva entre a consciência da marca e a qualidade percebida</p>
						</list-item>
					</list>
				</p>
				<p>A percepção da qualidade permite que os consumidores reduzam suas incertezas na tomada de decisão. O fato de uma marca possuir maior qualidade do que outra, faz com que o risco de compra seja menor e a expectativa de satisfação ao utilizar o produto aumente (<xref ref-type="bibr" rid="B8">Calvo-Porral &amp; Lévy-Mangin, 2017</xref>). Além disso, a qualidade percebida também permite que as organizações façam a utilização do preço premium, ou seja, aplicam um preço maior em relação ao mercado sem que haja uma desvantagem na competição com os concorrentes (<xref ref-type="bibr" rid="B37">Kim &amp; Kim, 2005</xref>). E a maior percepção de qualidade está relacionada a um efeito positivo no valor da marca (<xref ref-type="bibr" rid="B56">Wang, 2017</xref>). Assim, pode melhorar a intenção de compra do consumidor (<xref ref-type="bibr" rid="B42">Petrick, 2004</xref>).</p>
				<p>
					<list list-type="simple">
						<list-item>
							<p>H4b: há uma relação positiva entre a qualidade percebida e a intenção de compra.</p>
						</list-item>
					</list>
				</p>
				<p>A <xref ref-type="fig" rid="f10">Figura 1</xref> exibe o modelo conceitual desenvolvido com base nas hipóteses apresentadas anteriormente. Os próximos capítulos apresentam os métodos e a análises realizadas para validação de tal modelo.</p>
				<p>
					<fig id="f10">
						<label>Figura 1.</label>
						<caption>
							<title>Modelo com as hipóteses testadas</title>
						</caption>
						<graphic xlink:href="1808-2386-bbr-17-06-669-gf10.jpg"/>
						<attrib>Fonte: Elaborado pelos autores.</attrib>
					</fig>
				</p>
			</sec>
			<sec sec-type="methods">
				<title>4. METODOLOGIA</title>
				<sec>
					<title>4.1. Coleta de Dados e Amostra</title>
					<p>Diante das hipóteses propostas, a estratégia metodológica utilizada foi a quantitativa por meio da aplicação de um levantamento. Para isso, foi utilizado um questionário fechado para identificar as características e a opinião da população estudada. A amostra escolhida foi composta por estudantes de graduação. Embora tal escolha limite o desenvolvimento de conclusões generalizadas, o perfil de estudantes universitários condiz com a faixa etária dos principais usuários de smartphones (<xref ref-type="bibr" rid="B51">Statista, 2019b</xref>). Além disso, estudos anteriores sobre CBBE também utilizaram esse tipo de amostra (<xref ref-type="bibr" rid="B59">Yoo &amp; Donthu, 2001</xref>; <xref ref-type="bibr" rid="B4">Atilgan, Aksoy, &amp; Akinci, 2005</xref>; <xref ref-type="bibr" rid="B26">Hanzaee &amp; Assadollahi, 2012</xref>; <xref ref-type="bibr" rid="B33">Jyothsna et al., 2016</xref>). </p>
					<p>O tamanho mínimo da amostra foi definido de acordo com <xref ref-type="bibr" rid="B25">Hair Jr. et al. (2017</xref>), que sugerem a verificação por meio do poder estatístico. A análise então contou com o auxílio do software G*Power, em que foram utilizados dois parâmetros: o poder do teste (Power = 1 - β erro prob. II) e o tamanho do efeito (<italic>f</italic>²). O cálculo também considerou o construto que possui o maior número de preditores que, no caso do presente modelo, é a intenção de compra com quatro setas apontadas (<xref ref-type="bibr" rid="B25">Hair Jr. et al.<italic>,</italic> 2017</xref>). Dessa forma, o software indicou que a utilização de uma amostra com 85 casos já alcançaria o poder estatístico do teste de 80,30%.</p>
					<p>Após a sua elaboração, o questionário foi enviado a cinco profissionais acadêmicos com experiência na área, a fim de obter sugestões de melhoria. Assim, com base em suas orientações, foram feitos alguns ajustes e, em seguida, foi realizado um pré-teste com 28 alunos. O objetivo foi analisar a aplicabilidade do questionário quanto à sua compreensão e a forma como foi construído, bem como verificar preliminarmente o comportamento das relações entre as variáveis com base nessa pequena amostra. Os resultados obtidos no pré-teste foram considerados satisfatórios, o que permitiu a aplicação em campo da pesquisa.</p>
					<p>O questionário foi desenvolvido com a ferramenta online <italic>SurveyMonkey</italic> e enviado por e-mail para todos os estudantes matriculados em cursos de graduação da universidade. Ressalta-se que todas as perguntas foram feitas com base na experiência do usuário diante da marca do seu smartphone atual. O levantamento obteve um total de 720 respostas. Após a coleta, verificou-se a presença de padrões de respostas suspeitos, caracterizados por <xref ref-type="bibr" rid="B25">Hair Jr. et al., (2017</xref>) como o fenômeno que ocorre quando o respondente assinala o mesmo item da escala para uma alta proporção de questões do questionário. Na maioria dos casos, recomenda-se a exclusão das respostas que apresentam esse tipo de padrão (<xref ref-type="bibr" rid="B25">Hair Jr. et al.<italic>,</italic> 2017</xref>). Portanto, foram eliminados 58 questionários, obtendo 662 casos válidos.</p>
					<p>Uma considerável parte da amostra (63%) é composta por jovens com idade entre 16 e 22 anos, seguida por respondentes com a faixa etária de 23 a 29 anos (25%). Esse dado se torna coerente em relação à população que está sendo analisada, os estudantes de graduação. Pode-se dizer que a faixa etária da amostra está alinhada com o objeto de estudo escolhido para esta pesquisa, tendo em vista que os smartphones ainda são utilizados em sua maioria pelos jovens na média dos 20 anos (<xref ref-type="bibr" rid="B51">Statista, 2019b</xref>). Em relação ao sexo dos respondentes, a distribuição se mostrou praticamente igual - o sexo feminino obteve uma pequena maioria de questionários respondidos, representando 51% do total da amostra (n=340). Todas as marcas componentes da amostra também mantiveram praticamente essa distribuição entre os sexos.</p>
					<p>Os respondentes também foram indagados sobre as marcas de smartphones utilizadas. Houve uma concentração da amostra em cinco principais marcas: Motorola (29% do total), Samsung (28% do total), Apple (16% do total), Asus (7% do total) e LG (6% do total). Os demais, 13% da amostra, utilizam marcas como Lenovo, Xiaomi, Nokia e Sony. Quando perguntados sobre as marcas que eles pretenderiam escolher em sua futura compra de smartphone, os resultados demonstraram que os respondentes se concentraram nas marcas Motorola (27%), Apple (26%) e Samsung (24%). Ressalta-se que 33% da amostra indicaram uma preferência a uma marca diferente da atual para uma possível compra futura, demonstrando que estão propensos a alterar a marca do seu smartphone.</p>
				</sec>
				<sec>
					<title>4.2. Mensurações</title>
					<p>Para mensurar a opinião dos respondentes, utilizou-se a escala Likert de cinco pontos, variando de “discordo totalmente” a “concordo totalmente”. A operacionalização de cada variável é baseada em instrumentos disponíveis na literatura relevante anterior. Os construtos qualidade percebida, lealdade à marca e associações à marca foram adaptados de <xref ref-type="bibr" rid="B59">Yoo e Donthu (2001</xref>) que visavam desenvolver uma escala multidimensional de CBBE. A operacionalização da consciência da marca foi adaptada de <xref ref-type="bibr" rid="B59">Yoo e Donthu (2001</xref>) e <xref ref-type="bibr" rid="B48">Shah (2012</xref>). E a intenção de compra foi medida usando uma escala adaptada de <xref ref-type="bibr" rid="B24">Grewal, Monroe e Krishnan (1998</xref>). Os itens de cada variável são apresentados no <xref ref-type="app" rid="app2">Apêndice A</xref>.</p>
				</sec>
				<sec>
					<title>4.3. Análise dos Resultados</title>
					<p>A análise de dados foi dividida em duas etapas. A primeira constituiu na aplicação da técnica de Modelagem de Equações Estruturais (PLS-SEM) por meio do <italic>software</italic> SmartPLS 3.0 para validar as medidas do modelo de mensuração e do modelo estrutural. Essa técnica examina relações por meio de um conjunto de métodos com o intuito de identificar e analisar múltiplas relações de dependência entre as variáveis por meio de um diagrama de caminhos (<xref ref-type="bibr" rid="B25">Hair Jr. et al., 2017</xref>). As etapas utilizadas para a validação do modelo de mensuração e estrutural foram todas baseadas em <xref ref-type="bibr" rid="B25">Hair Jr. et al.<italic>,</italic> (2017</xref>), que estabelecem os critérios para determinar a consistência interna, validade convergente, discriminante, significância, determinação e colinearidade.</p>
					<p>Já a segunda etapa envolveu a análise das mediações por meio do modelo Macro Process, que foi empregado de acordo com os parâmetros de <xref ref-type="bibr" rid="B27">Hayes (2018</xref>). Como as hipóteses desenvolvidas neste estudo visam analisar o caminho indireto das relações via mediações, a análise por meio de regressão pelo método dos mínimos quadrados ordinários (OLS) é utilizado rotineiramente para tal fim, justificando a sua aplicação (<xref ref-type="bibr" rid="B27">Hayes, 2018</xref>). Ademais, por meio do Macro Process é possível analisar o modelo inteiro pela soma agregada de suas partes, ao contrário do PLS-SEM, possibilitando melhores inferências para construção de teorias (<xref ref-type="bibr" rid="B28">Hayes, Montoya, &amp; Rockwood, 2017</xref>). Por esses motivos, foi considerada pertinente a utilização do PLS-SEM para a validação do modelo de mensuração e estrutural e a utilização de OLS via Macro Process para a análise do efeito total da mediação.</p>
				</sec>
			</sec>
			<sec>
				<title>5. ANÁLISE DOS DADOS</title>
				<sec>
					<title>5.1. Validação do Modelo</title>
					<p>Com o objetivo de avaliar o modelo de mensuração dos construtos do modelo, foi utilizada uma das ferramentas do software SmartPLS 3.0, chamada PLS Algoritmo, utilizando a amostra válida composta por 662 respostas. Ao realizar os cálculos, o modelo convergiu com 07 interações, valor menor que o máximo recomendado de 300 interações, atendendo assim às exigências de convergência do algoritmo (<xref ref-type="bibr" rid="B25">Hair Jr. et al., 2017</xref>).</p>
					<p>O primeiro critério analisado foi a consistência interna, que utiliza os valores de <italic>Alfa de Cronbach</italic> e a confiabilidade composta como parâmetros para a validação. Conforme recomendado por <xref ref-type="bibr" rid="B25">Hair Jr. et al., (2017</xref>), todos os construtos apresentaram <italic>Alfa de Cronbach</italic> acima de 0,708 e confiabilidade composta abaixo de 0,95. Entretanto, alguns indicadores apresentaram valores de cargas externas abaixo do recomendado (&lt;0,708) e valores de confiança do indicador abaixo do mínimo (&lt;0,5). Optou-se então por excluí-los da análise, sendo eles os indicadores CO05, AS01 e AS02 (um indicador do construto Consciência da Marca e dois do construto Associações à Marca). A exclusão desses indicadores se justifica pelo impacto positivo na validade do construto por meio da verificação dos índices de AVE e de confiabilidade composta, conforme indicado por <xref ref-type="bibr" rid="B25">Hair Jr. et al.<italic>,</italic> (2017</xref>). Além disso, todos os construtos atenderam aos critérios de validade discriminante, conforme indicado nos resultados do teste de Fornell-Lacker (<xref ref-type="table" rid="t10">Tabela 1</xref>).</p>
					<p>
						<table-wrap id="t10">
							<label>Tabela 1.</label>
							<caption>
								<title>
									<italic>Critério de Fornell-Lacker</italic>
								</title>
							</caption>
							<table>
								<colgroup>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
								</colgroup>
								<thead>
									<tr>
										<th align="left">Indicadores</th>
										<th align="center">Associações à marca</th>
										<th align="center">Consciência da Marca</th>
										<th align="center">Lealdade à marca</th>
										<th align="center">Qualidade Percebida</th>
										<th align="center">Intenção de Compra</th>
									</tr>
								</thead>
								<tbody>
									<tr>
										<td align="left">Associações à marca</td>
										<td align="center">0,816</td>
										<td align="left"> </td>
										<td align="left"> </td>
										<td align="left"> </td>
										<td align="left"> </td>
									</tr>
									<tr>
										<td align="left">Consciência da Marca</td>
										<td align="center">0,510</td>
										<td align="center">0,770</td>
										<td align="left"> </td>
										<td align="left"> </td>
										<td align="left"> </td>
									</tr>
									<tr>
										<td align="left">Lealdade à marca</td>
										<td align="center">0,370</td>
										<td align="center">0,417</td>
										<td align="center">0,813</td>
										<td align="left"> </td>
										<td align="left"> </td>
									</tr>
									<tr>
										<td align="left">Qualidade Percebida</td>
										<td align="center">0,424</td>
										<td align="center">0,481</td>
										<td align="center">0,542</td>
										<td align="center">0,846</td>
										<td align="left"> </td>
									</tr>
									<tr>
										<td align="left">Intenção de Compra</td>
										<td align="center">0,530</td>
										<td align="center">0,446</td>
										<td align="center">0,657</td>
										<td align="center">0,682</td>
										<td align="center">0,852</td>
									</tr>
								</tbody>
							</table>
							<table-wrap-foot>
								<fn id="TFN5">
									<p>
										<bold>
											<italic>Fonte:</italic>
										</bold> Elaborado pelos autores.</p>
								</fn>
							</table-wrap-foot>
						</table-wrap>
					</p>
					<p>Após a validação do modelo de mensuração apresentando níveis satisfatórios de qualidade, a próxima etapa realizada foi a análise do modelo estrutural. Essa fase envolve examinar as capacidades preditivas do modelo e as relações entre as variáveis latentes. Para avaliar o modelo estrutural, foram seguidas as etapas sugeridas por <xref ref-type="bibr" rid="B25">Hair Jr. et al., (2017</xref>), as quais consistem em realizar os testes de colinearidade do modelo, significância dos coeficientes de caminho, o nível do valor de R², o tamanho do efeito <italic>f</italic>², a relevância preditiva (Q²) e o tamanho do efeito de q². Assim como a validação do modelo de mensuração, todos esses testes do modelo estrutural foram realizados no software SmartPLS 3.0.</p>
					<p>A análise da colinearidade do modelo estrutural é feita por meio dos valores de variância interna extraída (VIF). As variáveis latentes endógenas do modelo apresentaram valores de VIF menores do que 5,0 conforme indicado por <xref ref-type="bibr" rid="B25">Hair Jr. et al., (2017</xref>) como aceitável. Isso demonstra que os respondentes entenderam os construtos como fenômenos diferentes entre si. </p>
					<p>A segunda etapa da análise consistiu em avaliar a significância e a relevância dos coeficientes de caminho do modelo estrutural. As relações dos construtos Associações (AS), Lealdade (LE) e Qualidade Percebida (QP) com o construto Intenção de Compra (IC) apresentaram nível de significância relevante (1%). Já a relação entre os construtos Consciência (CO) e Intenção de Compra (IC) não se apresentou significativa como pode ser observado na <xref ref-type="table" rid="t20">Tabela 2</xref>. Ao analisar o valor do coeficiente de caminho dessa relação, percebe-se que ele possui valor negativo próximo a zero. Por outro lado, o efeito da consciência da marca como antecedente das variáveis Associações, Qualidade Percebida e Lealdade se mostrou significante.</p>
					<p>
						<table-wrap id="t20">
							<label>Tabela 2.</label>
							<caption>
								<title>
									<italic>Relevância dos coeficientes de caminho</italic>
								</title>
							</caption>
							<table>
								<colgroup>
									<col/>
									<col/>
									<col/>
									<col/>
								</colgroup>
								<thead>
									<tr>
										<th align="left">Relações</th>
										<th align="center">Coeficientes de Caminho</th>
										<th align="center">Valor-t</th>
										<th align="center">Valor-p</th>
									</tr>
								</thead>
								<tbody>
									<tr>
										<td align="left">AS → IC</td>
										<td align="center">0,238</td>
										<td align="center">7,920</td>
										<td align="center">0,000***</td>
									</tr>
									<tr>
										<td align="left">CO → AS</td>
										<td align="center">0,510</td>
										<td align="center">16,630</td>
										<td align="center">0,000***</td>
									</tr>
									<tr>
										<td align="left">CO → LE</td>
										<td align="center">0,417</td>
										<td align="center">13.283</td>
										<td align="center">0,000***</td>
									</tr>
									<tr>
										<td align="left">CO → QP</td>
										<td align="center">0,481</td>
										<td align="center">14,168</td>
										<td align="center">0,000***</td>
									</tr>
									<tr>
										<td align="left">CO → IC</td>
										<td align="center">-0,015</td>
										<td align="center">0,491</td>
										<td align="center">0,623</td>
									</tr>
									<tr>
										<td align="left">LE → IC</td>
										<td align="center">0,362</td>
										<td align="center">13,131</td>
										<td align="center">0,000***</td>
									</tr>
									<tr>
										<td align="left">QP → IC</td>
										<td align="center">0,393</td>
										<td align="center">11,913</td>
										<td align="center">0,000***</td>
									</tr>
								</tbody>
							</table>
							<table-wrap-foot>
								<fn id="TFN6">
									<p>
										<bold>
											<italic>Nota:</italic>
										</bold> R²=0,625; * significante a 0,10, ** significante a 0,05, *** significante a 0,01</p>
								</fn>
								<fn id="TFN7">
									<p>
										<bold>
											<italic>Fonte:</italic>
										</bold> Elaborado pelos autores.</p>
								</fn>
							</table-wrap-foot>
						</table-wrap>
					</p>
					<p>Seguindo com as etapas de validação do modelo estrutural, foi avaliado o coeficiente de determinação (R²). De acordo com os critérios estabelecidos por <xref ref-type="bibr" rid="B25">Hair Jr. et al., (2017</xref>), para pesquisas na área do comportamento do consumidor, o R² encontrado para o construto ‘Intenção de Compra’ (R²=0,625) pode ser considerado alto.</p>
					<p>A quarta etapa de análise do modelo buscou avaliar o tamanho do efeito <italic>f²,</italic> que mede o impacto da variável latente exógena na endógena. Na análise das relações dos construtos com a variável Intenção de Compra, os resultados apresentaram um efeito pequeno para o construto Associações à Marca (<italic>f²</italic> AS→IC = 0,104) e um efeito moderado nos construtos Qualidade Percebida (<italic>f²</italic> QP→IC = 0,251) e Lealdade (<italic>f²</italic> LE→IC = 0,233). Não houve efeito no construto Consciência da Marca (<italic>f²</italic> CO→IC = 0,000), o que já era esperado, visto que a relação não se demonstrou significativa. Ao analisar a relação da Consciência da Marca como antecessora das demais dimensões de <italic>brand equity</italic>, pode-se dizer que o efeito com base no valor de <italic>f²</italic> foi grande para Associações à Marca (<italic>f²</italic> CO→AS = 0,352) e Qualidade Percebida (<italic>f²</italic> CO→QP = 0,300), e foi moderada para Lealdade (<italic>f²</italic> CO→LE = 0,211).</p>
					<p>Por fim, a quinta etapa consistiu na análise da relevância preditiva do modelo (Q²), que é realizada por meio do procedimento <italic>Blindfolding,</italic> utilizado para avaliar a capacidade de as variáveis exógenas preverem a variável endógena. O resultado obteve valor acima de zero (Q²=0,422) suportando a relevância preditiva do modelo para o construto endógeno. Além disso, também foi avaliado o impacto relativo do <italic>q²</italic> dos construtos exógenos no construto endógeno. Os construtos Associações à Marca (<italic>q²</italic>=0,163), Qualidade Percebida (<italic>q²</italic>=0,154) e Lealdade (<italic>q²</italic>=0,108) apontaram uma moderada relevância preditiva sobre a Intenção de Compra. E, como esperado, o construto Consciência da Marca (<italic>q²</italic>=0,000) não apontou relevância preditiva direta para o construto Intenção de Compra.</p>
					<p>A <xref ref-type="fig" rid="f20">Figura 2</xref> exibe os coeficientes de caminho e a significância das relações entre as variáveis do modelo. Também apresenta os indicadores que foram mantidos após todos os critérios de validação do modelo de mensuração.</p>
					<p>
						<fig id="f20">
							<label>
								<bold>Figura 2<italic>.</italic>
								</bold>
							</label>
							<caption>
								<title>Modelo Estrutural (PLS-MEE)</title>
							</caption>
							<graphic xlink:href="1808-2386-bbr-17-06-669-gf20.jpg"/>
							<attrib>Fonte: Elaborado pelos autores.</attrib>
						</fig>
					</p>
				</sec>
				<sec>
					<title>5.2. Análise da Mediação Múltipla</title>
					<p>Os efeitos mediadores também foram verificados por meio da relação indireta entre as variáveis consciência da marca e intenção de compra (<xref ref-type="table" rid="t30">Tabela 3</xref>). Como descrito anteriormente, a análise desta etapa foi feita por meio da análise de regressão (OLS) do Macro Process com 10.000 subamostras.</p>
					<p>
						<table-wrap id="t30">
							<label>Tabela 3.</label>
							<caption>
								<title>
									<italic>Resultados da mediação múltipla</italic>
								</title>
							</caption>
							<table>
								<colgroup>
									<col/>
									<col/>
									<col/>
									<col/>
								</colgroup>
								<thead>
									<tr>
										<th align="center" colspan="4">Efeito direto de CO em IC:</th>
									</tr>
									<tr>
										<th align="left"> </th>
										<th align="center">Efeito</th>
										<th align="center" colspan="2">Limites do Intervalo de Confiança</th>
									</tr>
								</thead>
								<tbody>
									<tr>
										<td align="left">
											<italic>Total</italic>
										</td>
										<td align="center">-0,0731</td>
										<td align="center">-0,1552</td>
										<td align="center">0,0090</td>
									</tr>
									<tr>
										<td align="center" colspan="4">Efeito indireto de CO em IC:</td>
									</tr>
									<tr>
										<td align="left"> </td>
										<td align="center">Efeito</td>
										<td align="center" colspan="2">Limites do Intervalo de Confiança</td>
									</tr>
									<tr>
										<td align="left">
											<italic>Total</italic>
										</td>
										<td align="center">0,6323</td>
										<td align="center">0,5513</td>
										<td align="center">0,7106</td>
									</tr>
									<tr>
										<td align="left">
											<italic>QP</italic>
										</td>
										<td align="center">0,2560</td>
										<td align="center">0,1994</td>
										<td align="center">0,3168</td>
									</tr>
									<tr>
										<td align="left">
											<italic>AS</italic>
										</td>
										<td align="center">0,1848</td>
										<td align="center">0,1331</td>
										<td align="center">0,2369</td>
									</tr>
									<tr>
										<td align="left">
											<italic>LE</italic>
										</td>
										<td align="center">0,1915</td>
										<td align="center">0,1502</td>
										<td align="center">0,2374</td>
									</tr>
								</tbody>
							</table>
							<table-wrap-foot>
								<fn id="TFN8">
									<p>
										<bold>
											<italic>Fonte:</italic>
										</bold> Elaborado pelos autores.</p>
								</fn>
							</table-wrap-foot>
						</table-wrap>
					</p>
					<p>Os resultados demonstram que a relação direta entre a consciência da marca e a intenção de compra não é estatisticamente significante ao nível de confiança de 95%. Já a relação indireta dessas variáveis obteve significância estatística passando pelos construtos qualidade percebida, associações à marca e lealdade à marca. Logo, comprova-se a existência da mediação total, indicando que o efeito da consciência da marca na intenção de compra (0,6323) só é significativo e positivo de forma indireta, sendo mediado pelas variáveis qualidade percebida, lealdade à marca e associações à marca.</p>
				</sec>
			</sec>
			<sec sec-type="discussion">
				<title>6. DISCUSSÃO</title>
				<p>Compreender o comportamento do consumidor para um determinado produto e marca representa uma tarefa complexa que envolve diferentes variáveis. Este estudo investigou o papel antecedente da consciência da marca nas outras dimensões do CBBE e seu impacto na intenção de compra do consumidor. Os resultados sugerem que a consciência da marca não afeta diretamente a intenção de compra. Por outro lado, a relação entre essas variáveis é indiretamente mediada pelas dimensões do CBBE: qualidade percebida, lealdade e associações à marca.</p>
				<p>Os achados demonstram que há uma relação direta e significativa entre as dimensões do CBBE (qualidade percebida, lealdade e associações) e a intenção de compra, algo que está alinhado com estudos anteriores (<xref ref-type="bibr" rid="B45">Ranjbariyan et al., 2012</xref>; <xref ref-type="bibr" rid="B9">Calvo-Porral et al., 2015</xref>; <xref ref-type="bibr" rid="B37">Kim &amp; Kim, 2005</xref>; <xref ref-type="bibr" rid="B33">Jyothsna et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Calvo-Porral &amp; Lévy-Mangin, 2017</xref>). Por outro lado, o fato de a consciência da marca não impactar diretamente a intenção de compradiverge de estudos anteriores que demonstravam uma relação direta positiva (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B57">Wu &amp; Ho, 2014</xref>; <xref ref-type="bibr" rid="B2">Akkucuk &amp; Esmaeili, 2016</xref>). </p>
				<p>Tais achados podem estar vinculados ao fato de que o conhecimento da marca como pertencente a determinada categoria de produtos é apenas o primeiro passo para a percepção do consumidor em relação a outros aspectos (<xref ref-type="bibr" rid="B52">Su, 2016</xref>). Assim, o fato de uma marca ser mais famosa e conhecida pelas pessoas pode não ser um motivo suficientemente forte para influenciar a tomada de decisão de compra de produtos de tecnologia, como smartphones, caracterizados por alta variação de preço e ferramentais (<xref ref-type="bibr" rid="B57">Wu &amp; Ho, 2014</xref>). Ademais , o aumento do uso das mídias online para pesquisar informações e críticas sobre marcas e produtos diminui a distância entre marcas menos e mais conhecidas (<xref ref-type="bibr" rid="B38">Kudeshia &amp; Kumar, 2017</xref>).</p>
				<p>Por outro lado, a consciência da marca tem um impacto indireto na intenção de compra, sendo mediado pela qualidade percebida, associações à marca e lealdade à marca. Alguns modelos de <italic>brand equity</italic> (por exemplo: <xref ref-type="bibr" rid="B16">Cobb-Walgren et al., 1995</xref>; <xref ref-type="bibr" rid="B26">Hanzaee &amp; Asadollahi, 2012</xref>) apresentam as dimensões de maneira linear e independente, negligenciando a relação entre essas dimensões. A lógica por trás do papel antecedente da consciência da marca é clara. O fato de uma marca começar a ser reconhecida pelo consumidor, abre uma gama de possibilidades, como a criação de associações às marcas, percepção de qualidade e lealdade (<xref ref-type="bibr" rid="B40">Pappu, &amp; Quester, 2016</xref>; <xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>). E isso pode aumentar sua vontade de comprar um produto referente a essa marca. </p>
				<p>Estudos como <xref ref-type="bibr" rid="B59">Yoo e Donthu (2001</xref>) argumentam que a consciência da marca e as associações devem ser combinadas. No entanto, ambas as variáveis ​​têm conceitos diferentes e emergem diferentes comportamentos do consumidor. A consciência da marca atua como uma variável que permite que os consumidores tenham associações com uma marca, o que não seria possível sem esse conhecimento e familiaridade anteriores (<xref ref-type="bibr" rid="B22">Foroudi et al., 2018</xref>).</p>
				<p>Além disso, os resultados também demonstraram uma relação positiva entre consciência e qualidade percebida, o que está alinhado com alguns estudos anteriores (<xref ref-type="bibr" rid="B24">Grewal et al., 1998</xref>; <xref ref-type="bibr" rid="B12">Chi, Yeh &amp; Yang, 2009</xref>; <xref ref-type="bibr" rid="B47">Severi &amp; Ling, 2013</xref>). Esse fato demonstra que marcas conhecidas geram uma percepção de qualidade nos consumidores, que, por sua vez, optam por comprar produtos dessas marcas porque acreditam que terão menor risco associado à compra. O papel de mediação da lealdade à marca também está alinhado com estudos anteriores (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; <xref ref-type="bibr" rid="B40">Pappu &amp; Quester, 2016</xref>). A consciência da marca pode contribuir para uma maior penetração no mercado e permitir a geração de lealdade do consumidor.</p>
				<p>Diante do exposto, entende-se que a consciência da marca ainda pode ser considerada uma variável relevante para o gerenciamento da marca, mesmo que não tenha relação direta com a intenção de compra. Além disso, o seu papel antecedente nas demais dimensões do <italic>brand equity</italic> demonstrado neste artigo pode gerar discussões sobre modelos desenvolvidos anteriormente (por exemplo, <xref ref-type="bibr" rid="B26">Hanzaee &amp; Asadollahi, 2012</xref>) que adaptam essa variável na mesma posição que as demais.</p>
				<sec>
					<title>6.1. Contribuições Teóricas e Práticas</title>
					<p>Do ponto de vista teórico, o estudo contribuiu com resultados significantes ao integrar as variáveis que juntas formam o <italic>brand equity</italic> com uma das suas principais consequências esperadas. Algumas pesquisas encontradas na literatura (<xref ref-type="bibr" rid="B16">Cobb-Walgren et al., 1995</xref>; <xref ref-type="bibr" rid="B11">Chen &amp; Chang, 2008</xref>) buscaram analisar a relação do <italic>brand equity</italic> com a intenção de compra, utilizaram o CBBE como apenas um construto. Esta pesquisa forneceu uma compreensão de tais variáveis por meio de estudo empírico. Além disso, como principal contribuição teórica, este estudo apresenta a consciência da marca como predecessora das demais dimensões do CBBE. Ressalta-se, de acordo com os resultados, que esse construto impacta apenas indiretamente a intenção de compra, algo que difere de estudos anteriores (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>; Malik, 2013; <xref ref-type="bibr" rid="B57">Wu &amp; Ho, 2014</xref>; <xref ref-type="bibr" rid="B2">Akkucuk &amp; Esmaeili, 2016</xref>) que não controlaram o efeito das outras dimensões do CBBE, o que pode explicar a divergência de resultados.</p>
					<p>A contribuição prática da pesquisa deve-se a uma maior compreensão sobre o comportamento dos consumidores e os fatores que impactam as atitudes dos usuários de marcas. Os resultados permitem traçar estratégias desenvolvidas para marcas, além da análise da tomada de decisões por meio de métricas ligadas às variáveis estudadas, como a consciência da marca.</p>
				</sec>
				<sec>
					<title>6.2. Limitações e Pesquisas Futuras</title>
					<p>Este estudo possui algumas limitações que geram possibilidades para futuras pesquisas. A primeira diz respeito à população escolhida para fazer parte deste estudo. Embora a amostra de estudantes esteja alinhada com o perfil da maioria dos usuários de smartphones, a concentração de respostas nesse tipo de respondente não permite a generalização dos achados para pessoas com outras características, o que abre a possibilidade de estudos futuros os quais ampliem a população e a categoria de produtos explorados.</p>
					<p>Em segundo lugar, as respostas dos participantes foram baseadas nas marcas de smartphones usadas por eles atualmente. Consequentemente, o questionário foi respondido com base nas experiências passadas e presentes do usuário, o que pode ter influenciado nas suas respostas. Portanto, pesquisas futuras usando marcas predefinidas menos conhecidas podem contribuir para os resultados deste estudo.</p>
					<p>Terceiro, a consciência da marca inclui reconhecimento e recordação (<xref ref-type="bibr" rid="B34">Keller, 1993</xref>). Em nosso estudo, usamos o construto geral de consciência da marca, não analisando reconhecimento e recordação separadamente. Pesquisas futuras podem incluir o teste dessas duas dimensões no modelo para entender como cada uma afeta as dimensões do valor da marca. Assim, será possível verificar se a força do relacionamento com a marca é maior em uma dessas duas dimensões.</p>
				</sec>
			</sec>
		</body>
		<back>
			<fn-group>
				<fn fn-type="other" id="fn10">
					<label>ORIGEM DO ARTIGO</label>
					<p> Este estudo faz parte da dissertação de mestrado realizada pelo primeiro autor, sob a supervisão do segundo autor em um curso de pós-graduação em administração. Não há conflito de interesses neste artigo.</p>
				</fn>
			</fn-group>
		</back>
	</sub-article>-->
</article>