Automated recommendations have become a ubiquitous part of today's online user
experience. These systems point us to additional items to purchase in online shops, they …

Recommender systems support users in identifying products and services in e-commerce
and other information-rich environments. Recommendation problems have a long history as …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

Online markets pose a difficulty for evaluating products, particularly experience goods, such
as used cars, that cannot be easily described online. This exacerbates product uncertainty …

Recommendation agents (RAs) are software agents that elicit the interests or preferences of
individual consumers for products, either explicitly or implicitly, and make recommendations …

Start-ups often face the challenge of a shortage of capital, the so-called funding gap, which
can be overcome by raising small amounts of money from a large number of individuals. As …

With the rapid development of virtual reality (VR) hardware devices and virtual technologies,
VR applications in retailing are increasingly becoming an inevitable trend of future …

As organizations increasingly utilize Web-based technologies to support customers better,
trust in decision support technologies has emerged as an important issue in online …

Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and
high-quality individual studies addressing one or more research questions about …

Live commerce is a novel form of social commerce characterized by real-time interaction
and synchronous visualization. Drawing upon affordance theory and the affective-cognitive …