Stranger Danger? Cue‐based Trust in Online Consumer Product Review Videos

The Internet has become the primary source of information for a large number of consumers and it enables consumers to share their opinions and experiences concerning goods and services. Online consumer reviews provide information and recommendations for prospective buyers and are useful for decision-making on purchases. The purpose of this study is to assess the impact of on-line consumer reviews on a decision of using e-commerce services. In this study, we tend to conduct a laboratory experiment to analyze product review helpfulness likewise as its corresponding antecedents from the product review feature perspective (i.e., source- and contentbased review features). Findings from the study are threefold. First, the results of the information analysis support the theoretical conceptualization of product review helpfulness as a formative construct. Second, the results support the notion that the source- and content-based review options have direct impact on product review helpfulness. Customers perceive customerwritten product reviews as additional useful than those written by experts; they also perceive a concrete review as additional helpful than an abstract review. Third, we discover an interaction effect of the source- and content-based options of product reviews on review helpfulness. A customer-written product review with a low level of content abstractness yields the highest perceived review helpfulness

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Consumer perceptions of online consumer product and service reviews

Journal of Research in Interactive Marketing ◽

10.1108/17505931211265426 ◽

2012 ◽

Vol 6 (2) ◽

pp. 110-132 ◽

Cited By ~ 21

Author(s):

Hyun‐Hwa Lee ◽

Yoon Jin Ma

Keyword(s):

Consumer Perceptions ◽

Consumer Product ◽

Online Consumer

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Towards Extracting Affordances From Online Consumer Product Reviews

Volume 7: 2nd Biennial International Conference on Dynamics for Design; 26th International Conference on Design Theory and Methodology ◽

10.1115/detc2014-35288 ◽

2014 ◽

Cited By ~ 2

Author(s):

Amanda Chou ◽

L. H. Shu

Keyword(s):

Language Processing ◽

Word Sense Disambiguation ◽

Online Reviews ◽

Consumer Product ◽

Product Reviews ◽

Word Sense ◽

Online Consumer Reviews ◽

Online Product Reviews ◽

Sense Disambiguation ◽

Online Consumer

We examined online product reviews as a source of novel affordances. Certain affordances may only be discovered through extended use across various environments. User-generated reviews may thus contain unique insights. We analyzed online consumer product reviews from Canadian Tire, one of Canada’s largest retailers. We determined properties of this collection of reviews and commonalities between valuable reviews. In addition to typical challenges associated with natural-language processing, e.g. word-sense disambiguation, we identify characteristics of online consumer reviews that create additional challenges. These challenges include the use of ‘wild English’ and sarcasm in online reviews. We first present criteria to define and more objectively identify novel affordances from review content. Next, k-means clustering reveals that a combination of syntactical features and high frequency word percentages can separate descriptive from non-descriptive review content. Finally, we identified cue phrases that may indicate higher likelihood of affordance content in a review. Despite existing obstacles, the substantial volume of available online product reviews has potential to become a valuable source of affordances and feedback for designers and retailers alike.

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