Online reviews and trust cues are two core aspects of e-commerce. Based on these features, users can make informed decisions about the products and services they buy online. Although prior studies have investigated on various review characteristics, the writing style has been examined less...

As recommendation algorithms have been increasingly applied to content personalization services, scholars are voicing concern about the negative impacts of these algorithms, for instance filter bubbles and ideological polarization. This research attempts to analyze the various factors...

Tourism is a sector in which consumers - tourists widely share their opinions, experiences and recommendations. Due to the fact that tourist services cannot be evaluated before the purchase, word-of-mouth has been recognized as an influential factor and a significant resource of information...

The aim of this study is to explore how the impact of recommendations in social media on intention to purchase varies between generations Y and Z. The research focuses on two types of online recommendations, namely online reviews and opinion leaders’ recommendations, and e-WOM, which refers to...