[HTML][HTML] Smart tourism: State of the art and literature review for the last six years

A Kontogianni, E Alepis - Array, 2020 - Elsevier
In the modern era, the tourism sector has grown to be one of the dominant sectors globally
while technology continues to evolve. These facts have given birth to the “Smart Tourism” …

A state-of-the-art review of smart tourism research

F Mehraliyev, ICC Chan, Y Choi… - Journal of Travel & …, 2020 - Taylor & Francis
Using a mixed-method approach combining qualitative and quantitative review techniques,
this study analyzed 86 articles to identify state-of-the-art thematic research trends and …

Smart hospitality: from smart cities and smart tourism towards agile business ecosystems in networked destinations

D Buhalis, P O'Connor, R Leung - International Journal of …, 2023 - emerald.com
Purpose Building on recent smart hospitality systematic reviews and extensive literature
analyses, this paper aims to explore recent developments, themes and issues within smart …

Big data for creating and capturing value in the digitalized environment: unpacking the effects of volume, variety, and veracity on firm performance

F Cappa, R Oriani, E Peruffo… - Journal of Product …, 2021 - Wiley Online Library
Despite significant academic and managerial interest in big data, there is a dearth of
research on how big data impacts the long‐term firm performance. Reasons for this gap …

Big data empowered agility for dynamic, volatile, and time-sensitive service industries: the case of tourism sector

N Stylos, J Zwiegelaar, D Buhalis - International Journal of …, 2021 - emerald.com
Purpose Dynamic, volatile, and time-sensitive industries, such as tourism, travel and
hospitality require agility and market intelligence to create value and achieve competitive …

Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of …

K Zhang, Y Chen, C Li - Tourism Management, 2019 - Elsevier
Visual content analysis of tourist photos is an effective way to excavate tourist behavior and
explore tourists' cognition in the tourism destination. With the development of computer deep …

Market segmentation and travel choice prediction in Spa hotels through TripAdvisor's online reviews

A Ahani, M Nilashi, O Ibrahim, L Sanzogni… - International Journal of …, 2019 - Elsevier
Customer segmentation via online reviews and ratings can assist different hotels, including
spa hotels, to better inform marketing strategy development and ensure optimal marketing …

Digital transformation and tourist experience co-design: Big social data for planning cultural tourism

MT Cuomo, D Tortora, P Foroudi, A Giordano… - … Forecasting and Social …, 2021 - Elsevier
Digital transformation has completely changed the demand/offering interaction in the travel
industry, as well as largely affecting the customer journey. In this direction,“big social data” …

Capitalizing on big data and revolutionary 5G technology: Extracting and visualizing ratings and reviews of global chain hotels

L Gaur, A Afaq, A Solanki, G Singh, S Sharma… - Computers and …, 2021 - Elsevier
This paper aims to use machine learning (ML) algorithm for natural language pre-
processing (NLP), text mining (TM), and sentiment analysis (SA) techniques to analyze and …

Role of smart technology use behaviour in enhancing tourist revisit intention: the theory of planned behaviour perspective

K Zheng, J Kumar, P Kunasekaran… - European Journal of …, 2024 - emerald.com
Purpose This study examines the influencing factors of smart technology use behaviour
(STUB), influencing tourist satisfaction and enhancing revisit intention for the Chinese …