Impact of Negative Review Type, Brand Reputation, and Opportunity Scarcity Perception on Preferences of Fashion Products in Social Commerce

Joo, Bora; Hwang, Sun-Jin

doi:10.12940/jfb.2016.20.4.207

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…Brand names can often be repositories for a firm's reputation (i.e. highquality performance on one product can often be transferred to another product through the brand name) [55,56]. A brand's reputation is regarded as the estimation of the consistency over time of an attribute of an entity [54].…”

Section: Brand Reputationmentioning

confidence: 99%

Brand Trust and Brand Loyalty: A Moderation and Mediation Perspective

Shin

Amenuvor

Basilisco

et al. 2019

CJAST

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This study aims to empirically test the effect of brand trust on brand commitment and brand loyalty while examining the mediating and moderating roles of brand commitment and brand reputation respectively. To achieve this aim, data is collected from 412 smartphone users in South Korea. The hypotheses advanced to achieve this aim are tested through the structural equations modeling technique. The results of the study reveal that brand trust and brand commitment positively and significantly influence brand loyalty. The study further finds that brand trust is positively and significantly related to brand commitment, while the latter mediates the relationship between brand trust and brand loyalty. Equally, the study finds support for the moderating role of brand reputation on the relationship between brand trust and brand commitment. The study provides managerial and theoretical illuminations into comprehending brand trust, brand commitment, brand reputation, and brand loyalty.

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Section: Brand Reputationmentioning

confidence: 99%

Brand Trust and Brand Loyalty: A Moderation and Mediation Perspective

Shin

Amenuvor

Basilisco

et al. 2019

CJAST

View full text Add to dashboard Cite

show abstract

“…Specifically, prior studies have focused on several features of negative textual reviews, such as quantity [ 32 ], emotional intensity [ 33 ], severity of failure [ 34 , 35 ], proportion [ 25 , 34 , 36 , 37 ], quality [ 25 , 36 ], type [ 38 ], claim [ 39 ], and presentation order [ 32 ]. All these features can significantly affect consumer evaluation.…”

Section: Introductionmentioning

confidence: 99%

Effect of Negative Online Reviews and Physician Responses on Health Consumers’ Choice: Experimental Study

Han,

Lin,

Han

et al. 2024

J Med Internet Res

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Background The COVID-19 pandemic has highlighted the importance of online medical services. Although some researchers have investigated how numerical ratings affect consumer choice, limited studies have focused on the effect of negative reviews that most concern physicians. Objective This study aimed to investigate how negative review features, including proportion (low/high), claim type (evaluative/factual), and physician response (absence/presence), influence consumers’ physician evaluation process under conditions in which a physician’s overall rating is high. Methods Using a 2×2×2 between-subject decision-controlled experiment, this study examined participants’ judgment on physicians with different textual reviews. Collected data were analyzed using the t test and partial least squares–structural equation modeling. Results Negative reviews decreased consumers’ physician selection intention. The negative review proportion (β=–0.371, P<.001) and claim type (β=–0.343, P<.001) had a greater effect on consumers’ physician selection intention compared to the physician response (β=0.194, P<.001). A high negative review proportion, factual negative reviews, and the absence of a physician response significantly reduced consumers’ physician selection intention compared to their counterparts. Consumers’ locus attributions on the negative reviews affected their evaluation process. Physician attribution mediated the effects of review proportion (β=–0.150, P<.001), review claim type (β=–0.068, P=.01), and physician response (β=0.167, P<.001) on consumer choice. Reviewer attribution also mediated the effects of review proportion (β=–0.071, P<.001), review claim type (β=–0.025, P=.01), and physician response (β=0.096, P<.001) on consumer choice. The moderating effects of the physician response on the relationship between review proportion and physician attribution (β=–0.185, P<.001), review proportion and reviewer attribution (β=–0.110, P<.001), claim type and physician attribution (β=–0.123, P=.003), and claim type and reviewer attribution (β=–0.074, P=.04) were all significant. Conclusions Negative review features and the physician response significantly influence consumer choice through the causal attribution to physicians and reviewers. Physician attribution has a greater effect on consumers’ physician selection intention than reviewer attribution does. The presence of a physician response decreases the influence of negative reviews through direct and moderating effects. We propose some practical implications for physicians, health care providers, and online medical service platforms.

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Impact of Negative Review Type, Brand Reputation, and Opportunity Scarcity Perception on Preferences of Fashion Products in Social Commerce

Cited by 2 publications

References 34 publications

Brand Trust and Brand Loyalty: A Moderation and Mediation Perspective

Brand Trust and Brand Loyalty: A Moderation and Mediation Perspective

Effect of Negative Online Reviews and Physician Responses on Health Consumers’ Choice: Experimental Study

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