Dynamic Pricing in B2C Based on Online Product Reviews

Dynamic Pricing in B2C Based on Online Product Reviews

To study how e-tailors should fix the price to influence word-of-mouth to maximize profits, this paper comes up with a dynamic pricing model based on online product reviews. Customers base consumption decisions on the principle of utility maximization. A lower price can lead to more positive reviews and improve the utility, but it may reduce the profit. The model gives the optimal pricing strat...

Do Consumers Trust Online Product Reviews? An Experimental Study of Biases in Online Product Reviews

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-sel...

On Self-Selection Biases in Online Product Reviews

Mining Interesting Aspects of a Product using Aspect-based Opinion Mining from Product Reviews (RESEARCH NOTE)

As the internet and its applications are growing, E-commerce has become one of its rapid applications. Customers of E-commerce were provided with the opportunity to express their opinion about the product on the web as a text in the form of reviews. In the previous studies, mere founding sentiment from reviews was not helpful to get the exact opinion of the review. In this paper, we have used A...

Marketing Implications of Online Consumer Product Reviews