Do we order product review information display? How?

Huang, Liqiang; Tan, Chuan‐Hoo; Ke, Weiling; Wei, Kwok‐Kee

doi:10.1016/j.im.2014.05.002

Cited by 47 publications

(15 citation statements)

References 75 publications

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“…Upcoming research can further examine the effect of these constructs on ERA. Third, product type also plays a major role in the moderation effect of investigating the perception of consumers' review (Huang et al, 2014;Luan et al, 2016;Zhang et al, 2014). Hence, it would be worth understanding the differences between information search for eWOM information and adoption behavior of customers under different product types (searching product or experiencing product).…”

Section: Limitations and Directionsmentioning

confidence: 99%

The antecedents and consequences of the perceived positive eWOM review credibility

Chih

Hsu

Ortiz

2020

IMDS

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PurposeThis study explores the effects of interpersonal determinants (tie strength and homophily) and informational determinants (source trustworthiness and customer endorsement) on perceived positive electronic word-of-mouth (eWOM) review credibility (PPERC), which subsequently affects attitude toward the product (ATP), attitude toward the Fan Page (ATFP), and eWOM review adoption (ERA) based on the cognition-affection-behavior (CAB) model.Design/methodology/approachThe research sample consists of 402 subjects who used the Fan Page of Fashion Guide for more than one year. This research adopts a Structural Equation Modeling (SEM) to test the proposed model, which shows a good fit.FindingsThe results indicate that tie strength, homophily, source trustworthiness and customer endorsement each have a significant and positive effect on PPERC, respectively. In addition, homophily has a significant and positive effect on the strength and source trustworthiness. Furthermore, the results reveal that PPERC has a significant and positive effect on ATP, ATFP and ERA.Originality/valueThis study contributes to the literature by integrating multi perspectives and factors from informational determinants and interpersonal determinants. In addition, this study proposes that these determinants affect ERA via PPERC and dual attitudes (ATP and ATFP).

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Section: Limitations and Directionsmentioning

confidence: 99%

The antecedents and consequences of the perceived positive eWOM review credibility

Chih

Hsu

Ortiz

2020

IMDS

View full text Add to dashboard Cite

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“…Now CFT has been widely confirmed in a variety of consumer research domains, such as information management (Benlian et al, 2012; Hong et al, 2004), advertising (Byun and Jang, 2015; Wang et al, 2015), and online product reviews (Huang et al, 2014). CFT has been developed to understand how cognitive congruity affects the processing of new messages toward a problem task.…”

Section: Literature Reviewmentioning

confidence: 98%

“…CFT has been developed to understand how cognitive congruity affects the processing of new messages toward a problem task. Some prior research in the IS literature (Benlian et al, 2012; Huang et al, 2011, 2014) has explained the relationship between information display and consumers’ response by drawing on CFT. Huang et al (2011) suggested matching review content and product type, and found that attribute-based reviews of a search product and experience-based reviews of an experience product could be perceived as more helpful.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Huang et al (2011) suggested matching review content and product type, and found that attribute-based reviews of a search product and experience-based reviews of an experience product could be perceived as more helpful. Moreover, Huang et al (2014) explained that the impact of review type and review order (experience-based reviews followed by attribute-based reviews vs. vice versa) on review helpfulness is perceived differently, depending on product type (search vs. experience) by using CFT.…”

Section: Literature Reviewmentioning

confidence: 99%

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Will the relevance of review language and destination attractions be helpful? A data-driven approach

Hlee

Lee

Koo

et al. 2020

Journal of Vacation Marketing

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Because tourism destinations are difficult to assess in certain standard aspects, the factors that contribute to the helpfulness of reviews remain largely unknown. Moreover, the helpfulness of online reviews has not been explored in terms of the interaction between language style (high- vs. low-cognitive) and attraction type (hedonic vs. utilitarian). Hence, this study examines the impact of language style on the helpfulness of an online review of an attraction, depending on the type of attraction and the meaning of the destination. This study’s data included 8,032 reviews of four attractions (2 hedonic x 2 utilitarian), drawn from TripAdvisor in two different meanings of destinations. Specifically, our findings indicate that when a reviewer posts a utilitarian attraction of the destination, high-cognitive language is perceived to be more helpful. First, we discuss the theoretical contribution of our study using cognitive fit theory, and then provide the study’s managerial implications.

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“…The first stream of work focuses on review itself; studies have addressed many factors such as sequence of reviews [26,27], valence [26], volume [28], information depth [29], attribution (e.g., experience issue or product issue) [26,27]. However, these studies generally assume reviews come from credible sources.…”

Section: Advisors Profile and Credibilitymentioning

confidence: 99%

How buyers perceive the credibility of advisors in online marketplace: review balance, review count and misattribution

Noorian

Vassileva

et al. 2015

J Trust Manag

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In an online marketplace, buyers rely heavily on reviews posted by previous buyers (referred to as advisors). The advisor's credibility determines the persuasiveness of reviews. Much work has addressed the evaluation of advisors' credibility based on their static profile information, but little attention has been paid to the effect of the information about the history of advisors' reviews. We conducted three sub-studies to evaluate how the advisors' review balance (proportion of positive reviews) affects the buyer's judgement of advisor's credibility (e.g., trustworthiness, expertise). The result of study 1 shows that advisors with mixed positive and negative reviews are perceived to be more trustworthy, and those with extremely positive or negative review balance are perceived to be less trustworthy. Moreover, the perceived expertise of the advisor increases as the review balance turns from positive to negative; yet buyers perceive advisors with extremely negative review balance as low in expertise. Study 2 finds that buyers might be more inclined to misattribute low trustworthiness to low expertise when they are processing high number of reviews. Finally, study 3 explains the misattribution phenomenon and suggests that perceived expertise has close relationship with affective trust. Both theoretical and practical implications are discussed.

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Do we order product review information display? How?

Cited by 47 publications

References 75 publications

The antecedents and consequences of the perceived positive eWOM review credibility

The antecedents and consequences of the perceived positive eWOM review credibility

Will the relevance of review language and destination attractions be helpful? A data-driven approach

How buyers perceive the credibility of advisors in online marketplace: review balance, review count and misattribution

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