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

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The perceived fit of the br<strong>and</strong> extension represents the logic <strong>and</strong> similarity of the extension in the mind of the consumer.<br />

Research has found that higher perceived fit ratings lead to more favourable extension attitudes (Boush & Loken 1991;<br />

Buil et al., 2009; Dacin & Smith 1994;Martínez et al., 2009; Martínez et al., 2008). Further, evidence supports the idea<br />

that negative extension attitudes ―stem from consumers‘ perceptions of poor fit <strong>and</strong> their scepticism about a firm‘s<br />

ability to produce a good product when it is so technically dissimilar to current products‖ (Milberg et al., 1997: 126).<br />

This study seeks to replicate the prior findings presented above <strong>and</strong> conduct new tests to determine how culture impacts<br />

the strength of these relationships. Accordingly, the cultural framework used in this study is now presented.<br />

Cultural Considerations<br />

Culture is ―the collective programming of the mind that distinguishes the members of one group or category from<br />

another‖ (Hofstede 2001: 9). A person‘s culture is developed through socialisation (de Mooij 2004) by institutions such<br />

as the family, education system, <strong>and</strong> political system (Hofstede 2001). Thus, culture can cause people who receive the<br />

same message to interpret the message differently.<br />

Bottomley <strong>and</strong> Holden‘s (2001) review of eight international empirical studies found that culture appears to have an<br />

effect on consumer evaluations of br<strong>and</strong> extensions. Their findings were supported by Henseler et al. (2010), who<br />

conducted a multiple regression analysis that showed culture impacts the strength of the relationships between<br />

variables. However, both studies did not develop specific propositions to test nor offer detailed rationales for the<br />

changes in relationship strength; which this study seeks to address.<br />

Impact of Culture<br />

This study operationalizes culture through Hofstede‘s cultural framework. Hofestede is one of the most popular <strong>and</strong><br />

commonly used tools to measure culture (Henseler et al. 2010). This study focuses on two of the five cultural<br />

dimensions proposed by Hofstede. The following sections review the two cultural dimensions used in this study.<br />

Power Distance<br />

Power distance addresses how cultures view or accept inequality between groups (de Mooij 2004; Hofstede 2001).<br />

Cultures with a larger power distance are more accepting of hierarchy <strong>and</strong> giving/taking orders while low power<br />

distance cultures place less st<strong>and</strong>ing with authority <strong>and</strong> are more independent (de Mooij 2004). It should be noted that<br />

the scale used to measure power distance does not ―examine the actual degree of power that a person has but the extent<br />

to which the person, regardless of his or her actual power, expects <strong>and</strong> accepts power disparity‖ (Zhang, Winterich &<br />

Mittal 2010, p.945)<br />

Global br<strong>and</strong>s can be seen as a symbol of success <strong>and</strong> power. This is perhaps one of the reasons why Chinese<br />

consumers prefer larger companies over smaller companies (Cayla & Arnould 2008). Powerful global br<strong>and</strong>s<br />

introducing extensions could be seen as producing inequality in the marketplace. Then, consumers from low power<br />

distance cultures could adjust extension attitudes through the introduction of new information into their decision making<br />

process. In this manner, low power distance cultures will process more outside information than high power distance<br />

cultures. The resulting cognitive crowding could account for why prior research found that narrow portfolio br<strong>and</strong>s<br />

receive higher favourability ratings for typical extensions than wide product portfolio br<strong>and</strong>s.<br />

Accordingly, this relationship should be more evident for wide product portfolio br<strong>and</strong>s because the display of power<br />

will be greater <strong>and</strong> result in consumers directing more cognitive resources at underst<strong>and</strong>ing the inequality aspect of the<br />

global br<strong>and</strong> rather than looking for links with the parent br<strong>and</strong>. This leads to the following propositions:<br />

Proposition 1: Respondents from high power distance cultures will rate the favourability of extensions higher than low<br />

power distance cultures.<br />

Proposition 2: When rating extensions from parent br<strong>and</strong>s with wide product portfolios, respondents from high power<br />

distance cultures will rate the favourability of extensions higher than low power distance cultures.<br />

Uncertainty Avoidance<br />

Cultures that have a high uncertainty avoidance ranking prefer order, dislike ambiguity, <strong>and</strong> have trouble tolerating<br />

differences (Hofstede, et al. 2002). Cultures that have a low uncertainty avoidance ranking are characterised by their<br />

acceptance of competition; openness to ideas, change, <strong>and</strong> innovation; <strong>and</strong>, comfortableness in unstructured situations<br />

(Hofstede 2001; de Mooij 2004).<br />

While the extension might not be truly innovative, extensions, by definition, are innovations for the parent br<strong>and</strong>.<br />

Research by Klink <strong>and</strong> Smith (2001) found that consumers who are more innovative <strong>and</strong> willing to purchase products<br />

before their friends generally provide positive attitude ratings for extensions. Further, individuals high in uncertainty<br />

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