Virtual Special Issue: Big Data in Hospitality and Tourism

International Journal of Contemporary Hospitality Management

Welcome to the virtual special issue (VSI) of the International Journal of Contemporary Hospitality Management (IJCHM) on big data. This VSI compiles 13 timely, strong and impactful articles on big data that have been previously published in IJCHM. These articles can help researchers, instructors and practitioners. Should you enjoy perusing the articles within this VSI, we would greatly encourage you to share the link with other scholars, colleagues, students and industry partners. We welcome your thoughts and recommendations, and also any suggestions of new articles published in IJCHM to add to this list on big data in hospitality and tourism. Please also feel free to peruse and share our previous virtual issues under the Journal News section.

Dr. Fevzi Okumus
Editor-in-Chief of IJCHM


Table of Contents

Business intelligence and big data in hospitality and tourism: a systematic literature review
Marcello Mariani, Rodolfo Baggio, Matthias Fuchs, Wolfram Höepken

A big data approach to map the service quality of short-stay accommodation sharing
Meisam Ranjbari, Zahra Shams Esfandabadi, Simone Domenico Scagnelli

Multisensory experience for enhancing hotel guest experience: Empirical evidence from big data analytics
Minwoo Lee, Seonjeong (Ally) Lee, Yoon Koh

Why are Chinese and North American guests satisfied or dissatisfied with hotels? An application of big data analysis
Shun Ying, Jin Hooi Chan, Xiaoguang Qi

Big data empowered agility for dynamic, volatile, and time-sensitive service industries: the case of tourism sector
Nikolaos Stylos, Jeremy Zwiegelaar, Dimitrios Buhalis

Extracting revisit intentions from social media big data: a rule-based classification model
Yiran Liu, Srikanth Beldona

Forecasting daily attraction demand using big data from search engines and social media
Fengjun Tian, Yang Yang, Zhenxing Mao, Wenyue Tang

Artificial intelligence for hospitality big data analytics: developing a prediction model of restaurant review helpfulness for customer decision-making
Minwoo Lee, Wooseok Kwon, Ki-Joon Back

Are environmental-related online reviews more helpful? A big data analytics approach
Marcello Mariani, Matteo Borghi

The competitive productivity (CP) of tourism destinations: an integrative conceptual framework and a reflection on big data and analytics
Marcello Mariani, Stefano Bresciani, Giovanni Battista Dagnino

Toward travel pattern aware tourism region planning: a big data approach
Qiwei Han, Margarida Abreu Novais, Leid Zejnilovic

Does traveler satisfaction differ in various travel group compositions? Evidence from online reviews
Xun Xu

Big data and analytics in hospitality and tourism: a systematic literature review
Marcello Mariani, Rodolfo Baggio