Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach

Zheng, Xiaolin; Zhu, Shuai; Lin, Zhangxi

doi:10.1016/j.dss.2013.06.002

Cited by 119 publications

(47 citation statements)

References 25 publications

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“…By developing an online review quality mining tool, for instance, Zheng, Zhu & Lin (2013) indicated that the quality of online consumer reviews such as total helpfulness votes received is important in deriving better use of social commerce. Cheung et al (2014) found that an increase in the total number of ratings on products in a particular brand provided extra support for consumer purchase decisions.…”

Section: The Impact Of Wom Communication On Purchasing Intentionsmentioning

confidence: 99%

Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning

Wang

2017

International Journal of Information Management

286

220

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Section: The Impact Of Wom Communication On Purchasing Intentionsmentioning

confidence: 99%

Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning

Wang

2017

International Journal of Information Management

286

220

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“…The second stream of studies normally employs econometric methods to build predictive models [5,37]. For example, Mudambi and Schuff build a Tobit regression model and find that the helpfulness of reviews is a mathematical function of review extremity and review depth moderated by product type [5].…”

Section: Approaches To Studying the Effect Of Online Reviewsmentioning

confidence: 99%

The effect of product review balance and volume on online Shoppers' risk perception and purchase intention

Yang

Sarathy

Lee

2016

Decision Support Systems

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“…They suggest that social relationship information, which is implied in reviews by friends and absent in e-commerce, is a key dimension in social commerce. As mentioned above, it is well known that SCRs or ECRs significantly influence consumers' purchasing intentions (Zheng et al 2013). These studies are based on questionnaires or sharing information (such as electronic word of mouth), which are both forms of behavioral data.…”

Section: Introductionmentioning

confidence: 99%

Event-related potentials elicited by social commerce and electronic-commerce reviews

et al. 2015

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There is an increasing interest regarding the use of electroencephalography (EEG) in social commerce and electronic commerce (e-commerce) research. There are several reviews in the field of social commerce or e-commerce; these have great potential value and mining them is fundamental and significant. To our knowledge, EEG is rarely applied to study these. In this study, we examined the neural correlates of social commerce reviews (SCRs) and e-commerce reviews (ECRs) by using them as stimuli to evoke event-related potentials. All SCRs were from friends through a social media platform, whereas ECRs were from strangers through an e-commerce platform. The experimental design was similar to that of a priming paradigm, and included 40 pairs of stimuli consisting of product information (prime stimulus) and reviews (target stimulus). The results showed that the P300 component was successfully evoked by SCR and ECR stimuli. Moreover, the P300 components elicited by SCRs had higher amplitudes than those elicited by ECRs. These findings indicate that participants paid more attention to SCRs than to ECRs. In addition, the associations between neural responses and reviews in social commerce have the potential to assist companies in studying consumer behaviors, thus permitting them to enhance their social commerce strategies.

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Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach

Cited by 119 publications

References 25 publications

Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning

Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning

The effect of product review balance and volume on online Shoppers' risk perception and purchase intention

Event-related potentials elicited by social commerce and electronic-commerce reviews

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