• Corpus ID: 41430027

The Informational Role of Online Product Review Distributions: An Experimental Study of Biases in Online Product Reviews

@inproceedings{Yuan2012TheIR,
  title={The Informational Role of Online Product Review Distributions: An Experimental Study of Biases in Online Product Reviews},
  author={Wenjuan Yuan and Yili Kevin Hong and Paul A. Pavlou},
  year={2012}
}
Previous studies have identified the impact of self-selection biases in online product reviews on consumer surplus. However, no empirical study has studied how the consumers evaluate the rating distributions of online reviews, especially when credibility of reviews is susceptible to be jeopardized by self-selection biases. This study investigates how the existence of different types of self-selection biases in online product reviews influences consumers’ intentions to purchase products and post… 

References

SHOWING 1-10 OF 21 REFERENCES
Self Selection and Information Role of Online Product Reviews
TLDR
A model is developed that examines how idiosyncratic preferences of early buyers can affect long-term consumer purchase behavior as well as the social welfare created by review systems and provides an explanation for the structure of product ratings over time.
Can online reviews reveal a product's true quality?: empirical findings and analytical modeling of Online word-of-mouth communication
TLDR
An analytical model is derived to explain when the mean can serve as a valid representation of a product's true quality, and its implication on marketing practices is discussed.
What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com
TLDR
Drawing on the paradigm of search and experience goods from information economics, a model of customer review helpfulness is developed and tested and indicates that review extremity, review depth, and product type affect the perceived helpfulness of the review.
Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics
Abstract This article examines how product and consumer characteristics moderate the influence of online consumer reviews on product sales using data from the video game industry. The findings
Overcoming the J-shaped distribution of product reviews
TLDR
The existence of a J-shaped distribution is demonstrated, sources of bias that cause this distribution are identified, ways to overcome these biases are proposed, and it is shown that overcoming these biases helps product review systems better predict future product sales.
Fit Does Matter! An Empirical Study on Product Fit Uncertainty in Online Marketplaces
TLDR
The results first demonstrate the distinction between the dimensions of product uncertainty, show that fit uncertainty has the only significant effect on price premiums, satisfaction, product returns, and repurchase intentions, and support the effects of computer-mediated communication, product forums, and decision support systems on fit uncertainty.
The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms
TLDR
This paper discusses some important dimensions in which Internet-based feedback mechanisms differ from traditional word-of-mouth networks and surveys the most important issues related to their design, evaluation, and use.
How Does the Variance of Product Ratings Matter?
  • Monic Sun
  • Mathematics, Computer Science
    Manag. Sci.
  • 2012
TLDR
A theoretical model in which ratings can help consumers figure out how much they would enjoy the product is built, which finds empirical evidence that is consistent with the theoretical predictions with book data from Amazon.com and BN.com.
On Product Uncertainty in Online Markets: Theory and Evidence
TLDR
This study conceptualizes product uncertainty and examines its effects and antecedents in online markets for used cars (eBay Motors), and distinguishes between product and seller uncertainty, and shows that product uncertainty has a stronger effect on price premiums than seller uncertainty.
The Dynamics of Online Word-of-Mouth and Product Sales: An Empirical Investigation of the Movie Industry
There are growing interests in understanding how word-of-mouth (WOM) on the Internet is generated and how it influences consumers’ purchase decisions at retail outlets. A unique aspect of the WOM
...
1
2
3
...