A bibliometric review on the development in e-tourism research

S Singh, A Bashar - International Hospitality Review, 2021 - emerald.com
Purpose E-tourism is instilling in the tourism industry with the advancement in the
technological infrastructure all over the world and fetching tremendous tourists' attention …

Machine learning through the lens of e-commerce initiatives: An up-to-date systematic literature review

LM Policarpo, DE da Silveira, R da Rosa Righi… - Computer Science …, 2021 - Elsevier
E-commerce platforms are a primary place for people to find, compare, and ultimately
purchase products. They employ Machine Learning (ML), Business Intelligence (BI) …

On the platform but will they buy? Predicting customers' purchase behavior using deep learning

N Chaudhuri, G Gupta, V Vamsi, I Bose - Decision Support Systems, 2021 - Elsevier
A thorough understanding of online customer's purchase behavior will directly boost e-
commerce business performance. Existing studies have overtly focused on purchase …

Risk and opportunity for online purchase intention–A moderated mediation model investigation

SH Liao, DC Hu, YC Chung, AP Huang - Telematics and Informatics, 2021 - Elsevier
What is the risk and opportunity for online purchase intention? This study focused on online
purchase intention to explore the relationships on the proposed theoretical model for an …

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 …

Customer purchase forecasting for online tourism: A data-driven method with multiplex behavior data

S Chen, X Wang, H Zhang, J Wang, J Peng - Tourism Management, 2021 - Elsevier
Online tourism has received increasing attention from scholars and practitioners due to its
growing contribution to the economy. While related issues have been studied, research on …

Exploring the relationship between WeChat usage and e-purchase intention during the COVID-19 pandemic among university students in China

HMAE Aboulilah, SFA Hossain, BN Vuong… - Sage …, 2022 - journals.sagepub.com
Young generations, especially students, are increasingly turning their attention to e-
purchasing apps. However, little has been investigated regarding students' tendencies …

[HTML][HTML] An analyses of the effect of using contextual and loyalty features on early purchase prediction of shoppers in e-commerce domain

R Esmeli, M Bader-El-Den, H Abdullahi - Journal of Business Research, 2022 - Elsevier
Online sales have been growing rapidly in recent years. With the growing competition,
online retailers have been keen to increase the effectiveness of their e-commerce platforms …

Predicting student performance using clickstream data and machine learning

Y Liu, S Fan, S Xu, A Sajjanhar, S Yeom, Y Wei - Education Sciences, 2022 - mdpi.com
Student performance predictive analysis has played a vital role in education in recent years.
It allows for the understanding students' learning behaviours, the identification of at-risk …

Understanding consumer behavior in the multimedia context: incorporating gamification in VR-enhanced web system for tourism e-commerce

YT Jang, PS Hsieh - Multimedia Tools and Applications, 2021 - Springer
This study aims to investigate how gamification and virtual reality (VR)-enhanced web
services can be integrated to influence consumer behavior in the context of tourism e …