The current review helpfulness prediction (RHP) methods simply rely on the textual features
and meta features to predict review helpfulness, overlooking the informational value of …

Visual content has become an integral component of customers' experience sharing, with
customers increasingly searching for visual content in online reviews prior to making …

Purpose This research investigates the antecedents of positive and negative electronic word-
of-mouth (eWOM) propensity, as well as the impact of eWOM propensity on the intention to …

As consumers navigate through online product reviews, they read and assess individual
reviews within a broader context of product information, including product descriptions and …

Sequential recommendations have been widely used in e-commerce platforms to effectively
capture consumers' dynamic preferences and provide them with preferred products …

Images have become integral to consumers' sharing of consumption experiences due to
their abilities of carrying rich and vivid information. Drawing from the perspective of …

As social media influencers have become a global phenomenon, brands are channeling
substantial resources into influencer marketing campaigns. Researchers are keenly …

Online reviews help consumers make purchasing decisions on e-commerce platforms by
addressing uncertainties in online shopping. In the context of information overload, the value …

The review's helpfulness and its impact on purchase decisions are well established. This
study presents a robust helpfulness prediction model for customer reviews. To this end …

Purpose Platform certification constitutes an effective mechanism for managing the lemon
problem concerning food e-commerce. This work aims to evaluate the market effect of …