This study tests the asymmetric effect of user-generated, open-ended online reviews on online shopping behaviour (intention-to-buy, intention-to-recommend, and willingness-to-pay).Three online experiments involving manipulating the valence intensity of online reviews for hotels, books, and running shoes (overall customer sample of n=818) provide empirical support for the proposed relationship. The valence intensity of online reviews moderates the effect of online reviews on purchase intentions. In other words, a significant change in online shopping behaviour was found for positive medium and strong reviews, but not for negative ones. Based on these findings, managers should encourage customers to share their positive consumptionrelated experiences by offering strong arguments that will convince other customers.
Summary statement of contribution (75 words max):The present paper contributes to the research on the effect of online reviews on online shopping behaviour. Based on the findings of three online experiments, it can be concluded that valence intensity moderates the relationship between online reviews and online shopping behaviour. The occurrence of slightly negative information chunks in online reviews can cause significant negative changes in online shopping behaviour. Mudambi & Schuff, 2010). The two forms can occur separately or in combination. The most prominent example of online ratings and online reviews is that by online retailer Amazon.com.Previous research has primarily focused on the average online rating and the number of online reviews (e.g. Zhu & Zhang, 2009). The variability of online review texts has been ignored or the complexity has been reduced to a simple dichotomous case (positive versus negative reviews) (see Table 1 for an overview of related studies). This is unfortunate for at least two reasons: First, it is more common to find reviews including both positive and negative facets simultaneously. Second, given the huge number of online reviews available (for example, in June 2012, TripAdvisor contained more than 75 million online reviews), a simple dichotomisation simply does not reflect reality.
4The present experimental study is motivated by Cheung, Luo, Sia, and Chen (2009), who suggested examining positively versus negatively framed reviews (relating to the perceived valence of an online review) and one-sided versus two-sided reviews (relating to the perceived valence intensity of an online review text) in more detail. Hence, this study aims at empirically testing whether the perceived valence intensity of online reviews has an impact on online shopping behaviour (intention-to-buy, intention-to-recommend, and willingness-to-pay). Overall, 818 customers participated in three online experimental studies. The valence intensities of the presented online reviews were manipulated in order to study the effect on online shopping behaviour regarding three different products (books, hotels and running shoes).This study contributes to the existing eWoM literature in the following wa...