2018
DOI: 10.1108/imr-06-2016-0118
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The impact of mixed eWOM sequence on brand attitude change: cross-cultural differences

Abstract: Purpose Despite the importance of electronic word-of-mouth (eWOM) in e-commerce transactions on the global market, there is still limited understanding about the effect of eWOM sequence and its psychological mechanism in cross-cultural settings. Therefore, the purpose of this paper is to investigate the differences in brand attitude changes according to the eWOM sequence, as well as cross-culturally, based on thinking styles. Furthermore, the authors examine the moderated mediation effect of perceived cognitio… Show more

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Cited by 33 publications
(44 citation statements)
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References 74 publications
(99 reference statements)
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“…This might happen because of the unique character of HEIs (Alam & Saeed, 2016), where the individual's choice represents a long-term personal investment with consequences in the professional future (Mourad et al, 2011;Mourad et al, 2019). Another important finding is that firm-generated eWOM has similar or even more credibility than user-generated eWOM in the context of HEIs, which is not in consonance with the available literature stating that user-generated eWOM is more trustworthy and credible (Chakraborty & Bhat, 2018;Kudeshia & Kumar, 2017;Park & Jeon, 2018), having a stronger effect on consumers' brand equity (Schivinski & Dabrowski, 2016). The usergenerated eWOM appearing as less relevant in this context is confirmed by the fact that most interviewees did not search for user-generated eWOM in order to choose the university.…”
Section: Discussionmentioning
confidence: 95%
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“…This might happen because of the unique character of HEIs (Alam & Saeed, 2016), where the individual's choice represents a long-term personal investment with consequences in the professional future (Mourad et al, 2011;Mourad et al, 2019). Another important finding is that firm-generated eWOM has similar or even more credibility than user-generated eWOM in the context of HEIs, which is not in consonance with the available literature stating that user-generated eWOM is more trustworthy and credible (Chakraborty & Bhat, 2018;Kudeshia & Kumar, 2017;Park & Jeon, 2018), having a stronger effect on consumers' brand equity (Schivinski & Dabrowski, 2016). The usergenerated eWOM appearing as less relevant in this context is confirmed by the fact that most interviewees did not search for user-generated eWOM in order to choose the university.…”
Section: Discussionmentioning
confidence: 95%
“…In contrast, low involvement products represent marginal financial risk, being therefore less affected by negative eWOM (Beneke et al, 2016). Indeed, most consumers search for product information to minimize the risks before purchasing (Park & Jeon, 2018). The available research on eWOM has been focused on products, although it has been recognized that the eWOM effect may be superior for experience goods than for search goods (Park & Lee, 2009).…”
Section: Valence: Positive Vs Negative Ewommentioning
confidence: 99%
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“…Online word of mouth is defined as the positive or negative statement addressed by former consumers about a product or service, which is accessible by a large group of people and institutions on the internet [9]. Online word of mouth is believed to have impact on brand image [10], brand attitude [11], price perception [12], purchase intentions [13], repurchase intention [14], willingness to pay [15], decision-making process [16], and sales volume [17]. Therefore, researchers have been extremely interested to understand what makes online word of mouth more helpful and more persuasive, such that the reviewers, the online community, the readers, and the product/service providers can all benefit from increased browsing and purchasing.…”
Section: Introductionmentioning
confidence: 99%