Artificial intelligence research in hospitality: a state-of-the-art review and future directions

R Law, KJ Lin, H Ye, DKC Fong - International Journal of …, 2024 - emerald.com
Purpose The purpose of this study is to analyze state-of-the-art knowledge of artificial
intelligence (AI) research in hospitality. Design/methodology/approach This study adopts the …

Restaurant survival prediction using customer-generated content: An aspect-based sentiment analysis of online reviews

H Li, XB Bruce, G Li, H Gao - Tourism Management, 2023 - Elsevier
Business failure prediction or survival analysis can assist corporate organizations in better
understanding their performance and improving decision making. Based on aspect-based …

Deep learning in hospitality and tourism: a research framework agenda for future research

A Essien, G Chukwukelu - International Journal of Contemporary …, 2022 - emerald.com
Purpose This study aims to provide a systematic review of the existing literature on the
applications of deep learning (DL) in hospitality, tourism and travel as well as an agenda for …

What consumer complaints should hoteliers prioritize? Analysis of online reviews under different market segments

J Wu, N Zhao - Journal of Hospitality Marketing & Management, 2023 - Taylor & Francis
Due to rising competition and resource constraints, hoteliers need to understand which
consumer complaints are more important and severe to prioritize, an issue receiving less …

An exploration of employees' experiences of online food delivery: evidence from employee reviews

MB Saydam, J Borzyszkowski… - International Journal of …, 2024 - emerald.com
Purpose Online food delivery service has evolved swiftly and stretched the bounds of the
catering business. In the gig economy, being a food delivery rider draws employees with the …

[HTML][HTML] Α ranking model based on user generated content and fuzzy logic

D Novas, D Papakyriakopoulos, EP Kartaloglou… - International Journal of …, 2023 - Elsevier
Abstract User Generated Comments and ranking based on it, has been studied extensively
due to its impact on consumers and businesses. Literature highlights that platforms' rankings …

[HTML][HTML] Beyond static rankings: A tourist experience-driven approach to measure destination competitiveness

J Chen, J Wu, D Wang, B Stantic - Tourism Management, 2025 - Elsevier
In the dynamic field of destination management, maintaining a destination's competitiveness
requires understanding the evolving preferences of tourists. However, current research often …

New insights into hotel customer's revisiting intentions, based on big data

A Marandi, M Tasavori, M Najmi - International Journal of …, 2024 - emerald.com
Purpose This study aims to use big data analysis and sheds light on key hotel features that
play a role in the revisit intention of customers. In addition, this study endeavors to highlight …

Knowing how satisfied/dissatisfied is far from enough: a comprehensive customer satisfaction analysis framework based on hybrid text mining techniques

T Yang, J Wu, J Zhang - International Journal of Contemporary …, 2023 - emerald.com
Purpose This study aims to establish a comprehensive satisfaction analysis framework by
mining online restaurant reviews, which can not only accurately reveal consumer …

The dynamics in asymmetric effects of multi-attributes on customer satisfaction: evidence from COVID-19

JM Kim, J Liu, KK Park - International Journal of Contemporary …, 2023 - emerald.com
Purpose This study aims to explore how the “new normal” induces the dynamics in the
asymmetric relationship between service quality attributes and customer satisfaction …