Was this analysis helpful? A genre analysis of the Amazon.com discourse community and its “most helpful” product reviews

Skalicky, Stephen

doi:10.1016/j.dcm.2013.04.001

Cited by 33 publications

(30 citation statements)

References 5 publications

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“…Furthermore, reviews on sites like Amazon become more influential in the context of 'experience products' [38]-i.e., those products that require use or consumption in order to judge their quality or worth [28]. In a similar vein, it has been noted that on Amazon those reviews considered 'helpful' are typically those including experiential insights based on the context of using a product and advice on how to best use it [42].…”

Section: Recommender Systems and Online Marketplacesmentioning

confidence: 99%

Authenticity, Relatability and Collaborative Approaches to Sharing Knowledge about Assistive Living Technology

Vines

Wright

Silver

et al. 2015

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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Health and care providers are increasingly looking to online and peer-to-peer services to supplement existing channels of assistive living technology (ALTs) provision and assessment. We describe the findings from 12 codesign workshops with 28 people from the UK representing a range of older people with and without health conditions, users of ALT and carers for people using such devices. The workshops were conducted to explore issues related to finding reliable information about ALT with the goal of gathering requirements for the design of a peer-to-peer knowledge sharing platform. Our analysis highlights how a current reliance on peers and informal networks relates to a desire to establish the authenticity and relatability of another person's experience to one's own circumstances. This connects to a perceived mistrust in information where provenance and authenticity is not clear. We use these to critique the wisdom of taking an e-marketplace and recommendation service approach to ALT provision and assessment, and offer alternatives based on our findings.

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Section: Recommender Systems and Online Marketplacesmentioning

confidence: 99%

Authenticity, Relatability and Collaborative Approaches to Sharing Knowledge about Assistive Living Technology

Vines

Wright

Silver

et al. 2015

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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“…Most consumer goods have a durative dimension, making remote past temporal references much more relevant in reviews of products on Amazon than in reviews of recipes and restaurants, where consumer experiences tend to be more ephemeral. As was suggested earlier, future research on Amazon reviews might consider whether there is any relationship between remoteness (in particular, reviews written several months -or even years -after having received the product) and "helpfulness ratings" of reviews (Skalicky, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Subsequent studies have examined the discursive construction of reviewers' identities, addressing matters of reviewer credibility and expertise (Vásquez, 2014a(Vásquez, , 2014bMackiewicz, 2010aMackiewicz, , 2010b. Other studies have examined the ways in which reviewers evaluate (Skalicky, 2013;Tian, 2013;Taboada, 2011) and narrate (Vásquez, 2012(Vásquez, , 2014b their prior experiences. However, to date, no studies have specifically addressed issues of time reference, or temporality, in online reviews.…”

Section: Online Reviews As a Type Of Social Mediamentioning

confidence: 99%

“…Because past discourse analytic research on online consumer reviews has tended to focus on reviews from only one or two types of sites (e.g., Vásquez, 2011Vásquez, , 2012Vásquez, , 2014aMackiewicz, 2008Mackiewicz, , 2010aMackiewicz, , 2010bPollach, 2006;Skalicky, 2013;Taboada, 2011;Tian, 2013), the present study aimed to widen the scope by examining reviews from a broader range of websites.…”

Section: Data Setmentioning

confidence: 99%

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Right now versus back then : Recency and remoteness as discursive resources in online reviews

Vásquez

2015

Discourse, Context & Media

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“…Choose the data from amazon sales reviews. As many researchers used Amazon acquisition for experimental data analysis, so the data got certain reliability and persuasive [16,17]. The reviews data includes data categories, the evaluation level and whether it involves logistics factors.…”

Section: Data Preparationmentioning

confidence: 99%

The Impact of Logistics Factors on Customer Reviews in E-Commerce

Zhang¹,

Huang²,

Yan³

et al. 2015

IJMUE

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Logistics is the next step and the server of the business, which has a crucial importance for an intensive research. In this paper, taking the amazon reviews for example, we will segment the logistics factors in customer reviews from multiple perspectives, and use the method of data mining analysis to construct a model to mine the association rules which based on APRIORI algorithm. At last, the reliability was validated by an actual example. Such study can help businesses understand the influence degree of logistics in the comments better and help them reduce bad reviews causing by logistics factors. Finally, businesses could improve their reliability and increase their efficiency. 202Copyright ⓒ 2015 SERSC associated with the online popularity of restaurants. Jimenez [8] through their study indicated that more credible reviews lead to higher purchase intentions.Although many scholars have made a lot of research, the study of user reviews mainly in the comment of two aspects: one is the effectiveness analysis and another is the influencing factors analysis. Actually, research on the influencing factors are summarized, such as service factor, quality factor, price factor, logistics factor, emotional factor and other broad categories. With the development of e-commerce, logistics seems to become more and more important. In the whole process of e-commerce transactions, logistics is actually the follow-up person and server for the business flow, and if there is no modern logistics, business flow activities will degenerate into a dead letter. Logistics plays a very important role in ensuring customer loyalty [9]. In this paper, on the basis of existing research, taking amazon reviews for example, as the commodity must be under the premise of a certain quality, we will study the effect of logistics factors on user comments and by subdividding the logistics factors into many smaller parts, the complex relationship between product categories and varieties of logistics factors could be found. The study may help the businesses improve its services specifically, and avoid the logistics factors that could affect the user satisfaction. Logistics Factors AnalysisOnline shopping reviews include many factors, for example, quality, service, logistics, emotional, commentators' subjective factors [10,11]. And yet logistics is one of the most critical influences that affect customer reviews.are relatively close to the vital interests of the customers, which may involve, the commodity packaging, the loss or lack of express items and the service attitude. For goods that is fragile or need to treated with care, whether the delivery process pay attention to these details is an important manifestation of the logistics enterprise service quality. Standardized operation without a missing parts, a good attitude in the last mile delivery service and customer contact process, all have a great effect on the customer satisfaction. In addition, considering some special circumstances, such as weather condition, traffic impact. We take the delay d...

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Was this analysis helpful? A genre analysis of the Amazon.com discourse community and its “most helpful” product reviews

Cited by 33 publications

References 5 publications

Authenticity, Relatability and Collaborative Approaches to Sharing Knowledge about Assistive Living Technology

Authenticity, Relatability and Collaborative Approaches to Sharing Knowledge about Assistive Living Technology

Right now versus back then : Recency and remoteness as discursive resources in online reviews

The Impact of Logistics Factors on Customer Reviews in E-Commerce

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