Improving customer satisfaction in the hotel industry by fusing multi-source user-generated content: An integration method based on the heuristic-systematic model and evidence theory

Ma, Yu-Mei; Li, Ming-Yang; Cao, Ping-Ping

doi:10.1007/s10489-024-05621-9

Appl Intell

2024

DOI: 10.1007/s10489-024-05621-9

|View full text |Cite

Improving customer satisfaction in the hotel industry by fusing multi-source user-generated content: An integration method based on the heuristic-systematic model and evidence theory

Yu-Mei Ma,

Ming-Yang Li,

Ping-Ping Cao

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 90 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Text mining in tourism and hospitality research: a bibliometric perspective

Lekmiti,

Stolk,

Taylor

et al. 2024

JHTT

View full text Add to dashboard Cite

Purpose The purpose of this study is to assess the current level of knowledge on the application of text mining in tourism and hospitality (T&H) research and provide a novel comprehensive framework for the field. This study also identifies gaps and proposes future research directions. Design/methodology/approach This bibliometric study analyzes 814 journal articles, sourced from Scopus between 2004 and 2024, and uses performance analysis and science mapping using Biblioshiny and VOSviewer software. Findings Over 50% of the articles were published between 2022 and 2024, reflecting a surge in text-mining applications in T&H research. These studies primarily focus on topics such as customer satisfaction, sustainability, destination image and COVID-19 effects, with sentiment analysis and topic modeling being the predominant techniques. The primary data sources are online reviews and microblogs. The review also highlights recent research trends (e.g. long–short-term memory, support vector machines and crisis) and classifies them into four conceptual categories concerning the application of text mining in T&H research: How? Where? Why? When? Originality/value This study comprehensively explores the evolution of T&H, contributions from research constituents and the intellectual structure of the field, providing a novel comprehensive framework while also assessing the field and highlighting its challenges.

show abstract

Text mining in tourism and hospitality research: a bibliometric perspective

Lekmiti,

Stolk,

Taylor

et al. 2024

JHTT

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Improving customer satisfaction in the hotel industry by fusing multi-source user-generated content: An integration method based on the heuristic-systematic model and evidence theory

Cited by 1 publication

References 90 publications

Text mining in tourism and hospitality research: a bibliometric perspective

Text mining in tourism and hospitality research: a bibliometric perspective

Contact Info

Product

Resources

About