Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca

A Alsayat - Neural Computing and Applications, 2023 - Springer
Big social data and user-generated content have emerged as important sources of timely
and rich knowledge to detect customers' behavioral patterns. Revealing customer …

[CARTE][B] Hospitality and travel marketing

AM Morrison - 2022 - taylorfrancis.com
Fully revised and updated for its fifth edition, Hospitality and Travel Marketing provides
students with an international and systematic approach to hospitality and travel marketing …

Beyond image attributes: A new approach to destination positioning based on sensory preference

X Lv, C Zhang, C Li - Tourism Management, 2024 - Elsevier
This research expands destination positioning theories by introducing a new perspective on
destination positioning, namely sensory experience. This can be used to distinguish …

Application of machine learning to cluster hotel booking curves for hotel demand forecasting

L Viverit, CY Heo, LN Pereira, G Tiana - International Journal of Hospitality …, 2023 - Elsevier
Accurate demand forecasting is integral for data-driven revenue management decisions of
hotels, but an unprecedented demand environment caused by COVID-19 pandemic has …

Understanding Vanlife: the current state of the art of a vehicle-based hypermobile travel phenomenon

CS Muhs, DLM Agapito, LN Pereira - Current Issues in Tourism, 2024 - Taylor & Francis
This article outlines the current state of the art on Vanlife from a tourism perspective,
highlighting and summarizing definitions derived from literature. Hypermobile lifestyles …

Evolution of multiorgan segmentation techniques from traditional to deep learning in abdominal CT images–A systematic review

H Kaur, N Kaur, N Neeru - Displays, 2022 - Elsevier
Abdominal organ segmentation is the crucial research direction in computer assisted
diagnostic systems. Segmentation of multiple organs in medical images is known as …

[CARTE][B] Structural equation modelling with partial least squares using Stata and R

M Mehmetoglu, S Venturini - 2021 - taylorfrancis.com
Partial least squares structural equation modelling (PLS-SEM) is becoming a popular
statistical framework in many fields and disciplines of the social sciences. The main reason …

Market segmentation for e-tourism

S Dolnicar - Handbook of e-Tourism, 2022 - Springer
Market segmentation is a well-established and commonly used concept in tourism.
Businesses and destinations benefit from a segmentation strategy because it allows them to …

[HTML][HTML] Waste production patterns in hotels and restaurants: An intra-sectoral segmentation approach

E Juvan, B Grün, S Dolnicar - Annals of Tourism Research Empirical …, 2023 - Elsevier
Tourism produces> 35 m tons of solid waste annually. For waste reduction efforts to be
effective, empirical baseline measures of waste production and waste production patterns …

Understanding post-pandemic market segmentation through perceived risk, behavioural intention, and emotional wellbeing of consumers

S Sawang, CC Lee, CY Chou, NV Vighnesh… - Journal of Retailing and …, 2023 - Elsevier
The COVID-19 pandemic has altered consumer behaviour, leading to varying levels of
perceived risk for different products and services. Companies must reassess their market …