The use of big data has garnered increasing importance in academic research and
managerial practice thanks to the benefits it can produce in terms of innovation. However …

In reaction to the growing attention paid to big data and artificial intelligence in hospitality
and tourism research, we systematically reviewed 270 relevant studies to identify topical …

Scholarly work regarding tourist behavior requires more empirical support especially
concerning methods to extract emotions and sentiments from user-generated comments on …

Purpose The purpose of this paper is to examine the effect of transformational leadership on
an employee's innovative work behavior through job crafting. In addition, the study explores …

This study investigates the attributes that influence Airbnb users' experiences by analysing a
“big data” set of online review comments through the process of text mining and sentiment …

This paper provides an objective, systematic and holistic review of the sharing economy
(SE) academic literature to uncover the theoretical foundations and key themes underlying …

Travellers increasingly use a combination of photographs, texts and hashtags to expressing
their attitude towards tourism destinations (TDs). Existing destination branding literature has …

Although previous research has widely acknowledged the critical role residents play in
tourism, limited evidence exists on the impact their interactions with tourists have on tourists' …

Despite the increased recognition of the importance of images as a rich data source, the full
potential of images to advance tourism and hospitality knowledge, both conceptually and …

Literature reviews serve as cornerstones for advancing the corpus of existing knowledge.
This article offers an overview of the evolution of destination studies from 2000 to 2020. The …