Credibility Of Online Reviews Research Articles

Restaurants’ motivations to solicit fake reviews: A competition perspective

As restaurants increasingly solicit fake reviews on online word-of-mouth (WOM) platforms, the authenticity and credibility of online reviews have been compromised. This study investigates restaurants’ motivations to solicit positive fake reviews from a competition perspective. Our results show that a higher number of positive fake reviews by competitors can more strongly motivate a restaurant to solicit positive fake reviews, whereas a market advantage over competitors (based on review valence) significantly reduces a restaurant’s motivation to solicit positive fake reviews. Furthermore, the extent of the above two effects is moderated by the degree of prospective popularity; no significant difference was observed between chain and independently owned restaurants. Theoretical and practical implications of these findings are also discussed.

Effect of eWOM review on beauty enterprise: a new interpretation of the attitude contagion theory and information adoption model

PurposeThis study developed a new interpretation of the attitude contagion theory, with the information adoption model (IAM) as the theoretical basis. A review of electronic word-of-mouth studies was conducted by using informational and individual determinants to develop an integrated empirical model that identified the antecedents and consequences of consumer attitude toward online reviews.Design/methodology/approachThis study recruited 750 members of Facebook beauty fan pages in Taiwan and used the structural equation model to test research hypotheses.FindingsResults revealed that perceived “ electronic word-of mouth (eWOM) credibility of online reviews” and “product involvement” could be used to explain the effects of attitude toward online reviews. Regarding the attitude contagion effect, the effect of “attitude toward online review” on both “attitude toward a product” and “attitude toward a brand” is stronger than that on “eWOM adoption.”Originality/valueThis paper provides valuable insights into the antecedents, consequences and mediating mechanisms that determine consumer attitude toward online reviews.

The Effect of Reviewers' Self-Disclosure of Personal Review Record on Consumer Purchase Decisions: An ERPs Investigation.

Personal review record, as a form of personally identifiable information, refers to the past review information of a reviewer. The disclosure of reviewers’ personal information on electronic commerce websites has been found to substantially impact consumers’ perception regarding the credibility of online reviews. However, personal review record has received little attention in prior research. The current study investigated whether the disclosure of personal review record influenced consumers’ information processing and decision making by adopting event-related potentials (ERPs) measures, as ERPs allow for a nuanced examination of the neural mechanisms that underlie cognitive processes. At the behavioral level, we found that the purchase rate was higher and that the reaction time was shorter when the review record was disclosed (vs. when it was not), indicating that the disclosed condition was more favorable to the participants. Moreover, ERPs data showed that the disclosed condition induced an attenuated N400 component and an increased LPP component relative to the undisclosed condition, suggesting that the former condition gave rise to less cognitive and emotional conflict and to more positive evaluations. Thus, by elucidating potential cognitive and neural underpinnings, this study demonstrates the positive impact of reviewers’ disclosure of personal review record on consumers’ purchase decisions.

Fake Reviews Detection: A Survey

In e-commerce, user reviews can play a significant role in determining the revenue of an organisation. Online users rely on reviews before making decisions about any product and service. As such, the credibility of online reviews is crucial for businesses and can directly affect companies’ reputation and profitability. That is why some businesses are paying spammers to post fake reviews. These fake reviews exploit consumer purchasing decisions. Consequently, the techniques for detecting fake reviews have extensively been explored in the past twelve years. However, there still lacks a survey that can analyse and summarise the existing approaches. To bridge up the issue, this survey paper details the task of fake review detection, summing up the existing datasets and their collection methods. It analyses the existing feature extraction techniques. It also summarises and analyses the existing techniques critically to identify gaps based on two groups: traditional statistical machine learning and deep learning methods. Further, we conduct a benchmark study to investigate the performance of different neural network models and transformers that have not been used for fake review detection yet. The experimental results on two benchmark datasets show that RoBERTa performs about 7% better than the state-of-the-art methods in a mixed domain for the deception dataset with the highest accuracy of 91.2%, which can be used as a baseline for future studies. Finally, we highlight the current gaps in this research area and the possible future directions.

VISUAL INFORMATION IMPACTING ELECTRONIC WORD OF MOUTH ADOPTION: MEDIATING ROLE OF PERCEIVED EWOM REVIEW CREDIBILITY

A variety of factors related to electronic word of mouth (eWOM) affects consumers while making purchase decisions online. This study aims to examine the impact of visual information on eWOM adoption mediated by perceived credibility of online reviews. In order to attain this objective, this research study employs the quantitative method approach to perform the empirical study. Survey method has been employed and questionnaires have been used for data collection. Sample size is 300 and homogenous purposive sampling has been used to select respondents targeting customers who purchase products and services online after considering online reviews available on various platforms. A model has been developed and analysed using PLS-SEM structural equation modelling using computer software SmartPLS 3. The result showed that visual information had significant impact on eWOM adoption and perceived eWOM review credibility as a mediator had partial mediation impact on eWOM review adoption.

기능성 화장품의 온라인 사용 후기 신뢰도가 브랜드 선호도, 광고 신뢰도 및 구매의도에 미치는 영향 - 자외선 차단제의 긍정적 사용 후기를 중심으로 -

Considering that the effectiveness of ads varies according to the credibility of consumers, it is necessary to establish data regarding consumer credibility in relation to online reviews. To conduct a successful study on the marketing strategies of online reviews, it is also necessary to analyze the relationship between credibility and the various factors that influence the purchase intentions of consumers. Therefore, this study attempted to examine the relationship between consumer trust of on-line reviews, brand preference, ads credibility, and purchase intentions in relation to cosmetics. The study was conducted through a normative descriptive survey method using stimuli and a self-administered questionnaire. Analysis of the structural equation model was conducted for the data analysis. The results revealed that consumer reliance on online reviews of cosmetics influences brand preference, credibility of brand ads and purchase intentions. The results also revealed that consumers’ on-line reviews, brand preference, and trust of brand ads are important factors for increasing the purchase intentions. The mediation effect of brand preference and brands’ ads credibility were found in the process where on-line reviews exercise an influence on the purchase intentions. It was also found that brand preference has a stronger influence on purchase intention than credibility of brand ads. It was discovered that the credibility of on-line reviews directly influences purchase intentions more than indirectly influences. Considering the results of this study, programs that encourage customers to post on-line reviews, and strategies to promote brand preference by targeting groups that exhibit high trust in online reviews would be recommended.

Credibility of online reviews and its impact on brand image

PurposeBrand image is considered as a signaling phenomenon because high brand image ensures quality product that can reduce consumer’s uncertainty. A strong brand image induces consumers to pay higher prices, which in turn provides competitive advantage and market success to a company. Online reviews, blogs and texts on brand usage experiences are more effective than oral communication to build a strong brand image. Online reviews on products create distinct places for brands in the consumer’s mind, and thus ultimately affect images of the brands. Therefore, the purpose of this study is to investigate the effects of online reviews on functional and hedonic brand images in the context of consumer electronic products in India.Design/methodology/approachThe present study adopts a novel approach to collect data. The data have been collected from select e-commerce sites’ brand pages on Facebook through Google form application. A number of respondents are 1,038. Structural equation modeling technique has been used to examine the effects of online reviews on functional and hedonic brand images.FindingsThe data analysis reveals that source and review quality have more significant effect on credibility evaluation of online reviews as compared to the effects of review consistency and receiver. Moreover, credible online reviews have more impact on hedonic brand image rather than functional brand image in the context of consumer electronics product in India.Originality/valueThe present study combines Yale attitude change model and attribution theory to examine the effects of online reviews on brand image.

Online Reviews' Trustworthiness Analysis Based on Power-Law Distribution

In online shopping, studies on consumer reviews are mostly based on the Attitude Change Model. Illustrated from the perspective of perceived trustworthiness, however, it is not easy to measure and characterize the subjective perception of consumers. Starting from the inherent property of online reviews and based on the real data of 360buy which is the domestic large-scale B2C commerce website in China, this paper focuses on the interval distribution of consumer reviews and the data for statistical analysis. Research finds that the distribution of reviews interval can be depicted by the power-law function and there is a monotonically increasing relationship between power-exponent and the customers concerns with the commodity, the higher exponent, the attention consumer get. The findings give an objective basis to judge the credibility of online reviews. The relationship between power-exponent and the consumer attention has demonstrated the vital role of consumer attention in online shopping, and then the double parity between attention and exponent will effectively regulate the e-commerce market environment and promote its healthy operation. Tech Publications.