This study employs advanced text-mining techniques to offer an in-depth and
comprehensive overview of the extensive body of research on Airbnb. By analyzing 1021 …

In recent years, there has been proliferation of grocery mobile apps as grocery shop** on
mobile has found increasing acceptance among customers accelerated by multiple factors …

Purpose This paper aims to examine the primary supply data sources that have been used
for research into the sharing economy, and the advantages and limitations of these sources …

Abstract The Amazon Alexa app is one of the most widely used voice assistant apps to
manage customer information-seeking behavior and voice shop**. It provides …

This study empirically tests the role of news discourse in forecasting tourist arrivals by
examining Hong Kong. It employs structural topic modeling to identify key topics and their …

This study aims to explore thematic influences on theme park visitors' satisfaction through
user‐generated data. To this end, we first used an unsupervised machine learning method …

In the context of the wide application of service robots, customers will question whether
service robots or human staff provide higher service quality. Grounded in means-ends chain …

In the fiercely competitive landscape of the peer-to-peer accommodation platform Airbnb,
understanding customers' online recommendation behavior is essential for optimizing …

Introduction Online reviews have become an important source of information for
investigating customers' consumption experiences in academic studies. In the context of …

Purpose Quality 4.0 is a new paradigm of quality management, which emphasises the need
to adapt to recent technological innovations by updating traditional quality approaches …