2009
DOI: 10.1002/mar.20319
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Moderators of the negativity effect: Commitment, identification, and consumer sensitivity to corporate social performance

Abstract: Numerous studies have identified constructs such as commitment and brand familiarity as moderators of negativity effects. However, boundary conditions for this moderation have yet to be identified within a retailing context. This study tries to rectify this gap in the literature. This study finds that three factors (commitment, consumer-company identification, and consumer sensitivity to corporate social performance) moderate attitude change toward a retailer following exposure to moderately negative (vs. posi… Show more

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Cited by 47 publications
(38 citation statements)
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“…The empirical study result reveals that the negativity bias is only present in long WOMs with emotional content. Some researchers advocated that negative WOMs were more helpful than positive ones [3,13,14,[18][19][20][21]. However, some other literatures argued that negativity bias existed only under some conditions [32,[36][37][38][39].…”
Section: Discussionmentioning
confidence: 95%
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“…The empirical study result reveals that the negativity bias is only present in long WOMs with emotional content. Some researchers advocated that negative WOMs were more helpful than positive ones [3,13,14,[18][19][20][21]. However, some other literatures argued that negativity bias existed only under some conditions [32,[36][37][38][39].…”
Section: Discussionmentioning
confidence: 95%
“…Based on the argument of negative bias, negative WOMs are more influential than positive ones and will reduce consumers' purchasing intentions [14]. Negative WOMs are reported as more helpful than positive ones based on results of some empirical studies [i. e. 3,13,14,18,[19][20][21]. However, not all research supported the existence of negativity bias in WOM communication.…”
Section: Introductionmentioning
confidence: 94%
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“…An extensive literature provides support of the negativity effect on consumer product judgment and brand evaluation (Basuroy et al 2003;Chiou and Cheng 2003;Lee et al 2009;Liu et al 2010). For example, Lee et al (2009) demonstrate that extreme negative electronic word of mouth has a greater impact on attitude toward the brand and attitude toward the website than a more positive review.…”
Section: Conceptual Framework and Research Hypothesesmentioning
confidence: 94%