Overcoming the J-shaped distribution of product reviews

By Nan Hu, Jie Jennifer Zhang, Paul A. Pavlou. CACM, 2009

665 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/52eebaa13900439f8a787b7462151e4842e61563

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Marketing

In Sociology and Political Science

Citations in the corpus

Importance of Online Product Reviews from a Consumer's Perspective (2013, background): “[4] also calculated a J-shaped distribution of Amazon product reviews in three other product categories.”
Mining customer requirements from online reviews: A product improvement perspective (2016, background): “(2009), however, found that negative reviews contain clearer information than positive reviews [59].”
First Step in Social Media: Measuring the Influence of Online Management Responses on Customer Satisfaction (2014, result): “In particular, the distribution of review ratings in our data (Figure 2) resembles a normal distribution instead of a bimodal J-shaped distribution observed in prior studies on customer reviews (Hu et al. 2009).”
What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014, background): “Furthermore, under-reporting is still prevalent and can be problematic going forward because it introduces several issues related to the ways in which firms collect and aggregate eWOM information for consumers' benefit (Hu, Pavlou, and Zhang 2009).”
Examining the influence of online reviews on consumers' decision-making: A heuristic-systematic model (2014, background): “[39] examined such phenomenon as the J-shaped distribution of online product reviews.”
A study of factors that contribute to online review helpfulness (2015, background): “, 2011), and most ratings of online reviews tend to be positive (Hu et al., 2009).”
Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales (2014, background): “[26] argued that the distribution of product reviews is often J-shaped and the simple average ratings may not convey the essence of the review to the reader.”
Are Consumers More Likely to Contribute Online Reviews for Hit or Niche Products? (2010, background): “these studies argue that important aspects of the Internet, such as the popularity-based ranking of search engine results [24] and the prevalence of prominently displayed statistics about other consumers’ choices [16, 37], might end up focusing consumer consumption decisions (e.”