Cloud decision support model for selecting hotels on TripAdvisor. com with probabilistic linguistic information

H Peng, H Zhang, J Wang - International Journal of Hospitality Management, 2018 - Elsevier
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 …

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 …

Creating value from social big data: Implications for smart tourism destinations

P Del Vecchio, G Mele, V Ndou, G Secundo - Information Processing & …, 2018 - Elsevier
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 …

Customers segmentation in eco-friendly hotels using multi-criteria and machine learning techniques

E Yadegaridehkordi, M Nilashi, MHNBM Nasir… - Technology in …, 2021 - Elsevier
This study aims to investigate the travellers' choice behaviour towards green hotels through
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 …

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 …

Digital transformation and revenue management: Evidence from the hotel industry

Z Alrawadieh, Z Alrawadieh, G Cetin - Tourism Economics, 2021 - journals.sagepub.com
To maximize their revenues and protect their market share against traditional competitors
(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 …

Understanding homophily of service failure within the hotel guest cycle: Applying NLP-aspect-based sentiment analysis to the hospitality industry

R Sann, PC Lai - International Journal of Hospitality Management, 2020 - Elsevier
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 …

Actualizing big data analytics for smart cities: A cascading affordance study

D Zeng, Y Tim, J Yu, W Liu - International Journal of Information …, 2020 - Elsevier
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 …