The Impact of Online Recommendations and Consumer Feedback on Sales

By Pei-Yu Sharon Chen, Shin-yi Wu, Jungsun Yoon. International Conference on Interaction Sciences, 2004

437 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3cae80104314ecc7085f3951da85d5ae820f286f

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Citations in the corpus

Mine Your Own Business: Market-Structure Surveillance Through Text Mining (2012, background): “Furthermore, evidence with respect to overall reliability and predictive validity of online product ratings is mixed (Chen et al. 2004, Godes and Mayzlin 2004).”
Harnessing the Influence of Social Proof in Online Shopping: The Effect of Electronic Word of Mouth on Sales of Digital Microproducts (2011, background): “It has been used previously as a proxy for sales [5, 6, 9, 10, 23] and is inversely related to sales; the lower the sales rank, the higher the sales.”
Can online reviews reveal a product's true quality?: empirical findings and analytical modeling of Online word-of-mouth communication (2006, background): “Some of the research supports the view that online user review has significant impact on sales (Chevalier and Mayzlin 2003 and Zhang et al. 2004), while other research challenges such a view (Chen et al. 2004, Godes and Mayzlin 2004).”
Recommender Systems (2012, background): “…they also increase cross-sell by suggesting additional products to the customers and improve consumer loyalty because consumers tend to return to the sites that best serve their needs (see [19] for an empirical analysis of the impact of recommendations and consumer feedback on sales at Amazon.com).”
How Does the Variance of Product Ratings Matter? (2012, background): “…Godes and Silva (2006) Product ratings tend to decrease over time Zhu and Zhang (2010) Product ratings are more influential for nonsuperstars Gao et al. (2006) Online consumer reviews exhibit remarkable community features Chevalier and Mayzlin (2006) A higher average rating leads to higher…”
Empirical Analysis of the Impact of Recommender Systems on Sales (2010, methodology): “While this makes it easier for a shopper to find a product that matches his or her preference, it also increases the shopper’s search cost [10, 44].”
Exploring determinants of voting for the "helpfulness" of online user reviews: A text mining approach (2011, background): “For example, users' opinions are often extracted from online reviews to predict product sales [3].”
Self-Selection and Information Role of Online Product Reviews (2008, unknown): “Chen and Wu (2004) sug gested the mediation role of product recommenda tions in affecting the relationship between reviews and sales on Amazon.”
The influence of internet customer reviews on the online sales and prices in hotel industry (2012, background): “However, Chen, Shin-yi, and Jungsun ( 2004 ) find that the review valence does not affect future sales using the same data set from Amazon.”