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 …

Understanding online travel communities: A literature review and future research directions in hospitality and tourism

Y Zhou, WG Kim, B Okumus… - Journal of Travel & …, 2021 - Taylor & Francis
This study conducts a literature review and thematically synthesizes 71 OTC articles
published from 2002 to 2020, primarily from the leading hospitality and tourism journals. The …

[HTML][HTML] A machine learning approach to cluster destination image on Instagram

V Arefieva, R Egger, J Yu - Tourism Management, 2021 - Elsevier
Symbols are powerful in branding and marketing to represent tourist attractions. By bridging
semiotics, marketing, and data science in the tourism context, this study uncovers the …

A bibliometric analysis of research on tourism content marketing: Background knowledge and thematic evolution

PMB Nguyen, XL Pham, GNT Truong - Heliyon, 2023 - cell.com
Content marketing is becoming an important trend in the tourism industry and is attracting
the attention of many stakeholders. Previous studies have sporadically highlighted only …

Identifying hidden semantic structures in Instagram data: a topic modelling comparison

R Egger, J Yu - Tourism Review, 2021 - emerald.com
Identifying hidden semantic structures in Instagram data: a topic modelling comparison |
Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with …

Heritage hotels and customer experience: a text mining analysis of online reviews

V Chittiprolu, N Samala… - International Journal of …, 2021 - emerald.com
Purpose In business, online reviews have an economic impact on firm performance.
Customers' data in the form of online reviews was used to understand the appreciation and …

Data science and interdisciplinarity

R Egger, J Yu - Applied Data Science in Tourism: Interdisciplinary …, 2022 - Springer
In parallel with the progression of technology, the tourism industry has been continuously
confronted with a large amount of data that needs to be systematically analyzed in order to …

Online review helpfulness: the moderating effects of review comprehensiveness

Y Liu, H Hu - International Journal of Contemporary Hospitality …, 2021 - emerald.com
Purpose Consumers' evaluation of online review helpfulness has been widely examined.
The extant literature suggests that the attributes of review content (eg review length and …

Destination image: a consumer-based, big data-enabled approach

L Zhong, AM Morrison, C Zheng, X Li - Tourism Review, 2023 - emerald.com
Purpose This study aims to use a bottom-up, inductive approach to derive destination image
attributes from large quantities of online consumer narratives and establish a destination …

Coopetition strategies for competitive intelligence practices-evidence from full-service hotels

MA Köseoglu, MYY Yick, F Okumus - International Journal of Hospitality …, 2021 - Elsevier
Our study investigates how coopetition strategies can influence hotels' competitive
intelligence (CI) practices to achieve a stronger competitive advantage. In-depth interviews …