Cloud decision support model for selecting hotels on TripAdvisor. com with probabilistic linguistic information
Hotel selection on tourism websites has been a prevailing trend in traveling in recent years,
and selecting a suitable hotel is a high-risk decision for millions of tourists because of the …
and selecting a suitable hotel is a high-risk decision for millions of tourists because of the …
Managing customer knowledge through the use of big data analytics in tourism research
P Centobelli, V Ndou - Current Issues in Tourism, 2019 - Taylor & Francis
The use of big data is growing in relevance and importance in tourism management
research. Companies operating in this industry are exploiting big data analytics and …
research. Companies operating in this industry are exploiting big data analytics and …
Creating value from social big data: Implications for smart tourism destinations
This paper aims to demonstrate how the huge amount of Social Big Data available from
tourists can nurture the value creation process for a Smart Tourism Destination. Applying a …
tourists can nurture the value creation process for a Smart Tourism Destination. Applying a …
Customers segmentation in eco-friendly hotels using multi-criteria and machine learning techniques
This study aims to investigate the travellers' choice behaviour towards green hotels through
existing online travel reviews on TripAdvisor. Accordingly, a method combining …
existing online travel reviews on TripAdvisor. Accordingly, a method combining …
The role of mobile technology in tourism: Patents, articles, news, and mobile tour app reviews
D Kim, S Kim - Sustainability, 2017 - mdpi.com
The purpose of this research is to identify the status and role of mobile technology in
achieving sustainable and smart tourism, and to suggest future research and strategy …
achieving sustainable and smart tourism, and to suggest future research and strategy …
Understanding the emergence and development of online travel agencies: a dynamic evaluation and simulation approach
X Lv, N Li, X Xu, Y Yang - Internet Research, 2020 - emerald.com
Purpose With the explosive growth of the Internet, online travel agents (OTAs) have gained
an increasing market share in the online booking market. However, OTAs are facing fierce …
an increasing market share in the online booking market. However, OTAs are facing fierce …
Digital transformation and revenue management: Evidence from the hotel industry
To maximize their revenues and protect their market share against traditional competitors
(eg formal lodging businesses) and disruptive business models (eg Airbnb), the lodging …
(eg formal lodging businesses) and disruptive business models (eg Airbnb), the lodging …
A naive Bayes strategy for classifying customer satisfaction: A study based on online reviews of hospitality services
MJ Sánchez-Franco, A Navarro-García… - Journal of Business …, 2019 - Elsevier
This research assesses whether terms related to guest experience can be used to identify
ways to enhance hospitality services. A study was conducted to empirically identify relevant …
ways to enhance hospitality services. A study was conducted to empirically identify relevant …
Understanding homophily of service failure within the hotel guest cycle: Applying NLP-aspect-based sentiment analysis to the hospitality industry
Online complaints have become increasingly influential on the purchasing behavior of
customers in recent years. In an effort analyze large quantities of textual complaints and …
customers in recent years. In an effort analyze large quantities of textual complaints and …
Actualizing big data analytics for smart cities: A cascading affordance study
This study investigates how Big Data Analytics (BDA) can be leveraged to support a city's
transformation into a smart destination. We conduct an in-depth case study of a city-in …
transformation into a smart destination. We conduct an in-depth case study of a city-in …