Even at an early stage, diverse big data have been applied to tourism research and made
an amazing improvement. This paper might be the first attempt to present a comprehensive …

Online consumer reviews can help customers reduce uncertainty and risks faced in online
shopping. However, the studies examining the determinants of perceived review helpfulness …

The COVID-19 pandemic has entailed an unprecedented health crisis with significant
economic impacts in many sectors worldwide. The tourism sector has been one of the most …

The purpose of this study is to investigate online purchase intention in emerging markets
focusing on the impact of perceived usefulness of online reviews, trust and perceived risk …

Consumers increasingly use eWOM to make decisions about various products and services.
However, few studies have investigated how different visual and verbal eWOM cues affect …

Advances in technology have fundamentally changed how information is produced and
consumed by all actors involved in tourism. Tourists can now access different sources of …

Customer online reviews of hotels have significant business value in the e-commerce and
big data era. Online textual reviews have an open-structured form, and the technical side …

The purpose of the current research is to develop a methodology that can analyse online
reviews using machine learning techniques in such a way that practitioners in the fields of …

The previous experience of customers is assessed by textual reviews and ratings to reflect
their levels of satisfaction with the service or product. Online reviews and ratings have …

The ability to understand the causes of customers' complaints is critical for hotels to improve
their service quality, customer satisfaction, and revenue. This study adopts a novel structural …