In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …

The application of machine learning techniques in the field of tourism is experiencing a
remarkable growth, as they allow to propose efficient solutions to problems present in this …

Purpose The purpose of this study was to uncover representative emergent areas and to
examine the research area of marketing, tourism and big data (BD) to assess how these …

COVID-19-induced travel restrictions have led to a sharp drop in Airbnb bookings.
Confronted with a decrease in demand, hosts have implemented heterogeneous price …

Although hygrothermal properties of rammed earth represent great potential for improving
thermal comfort during hot summers, still little knowledge is available about this topic. The …

The main ingredients of traditional rammed earth walls are plain soil, which decreases the
compressive strength and water resistance performance of the rammed earth buildings. To …

This study aims to understand consumer innovation resistance towards Airbnb from a
process-based perspective. Using Airbnb in the Chinese market as the research context, a …

User-generated content (UGC) has been validated as an important factor in travel decisions.
However, it is still unclear whether different types of UGC function differently. Social …

Different voices may have persuasive effects on individuals' decision-making processes;
however, in the tourism context, little attention has been paid to online paid tour guide audio …

Pricing power, a firm's ability to set prices above the competition without tempering demand,
is a critical concern for any business. However, it has received little attention in the Airbnb …