Mental readiness and travel choices in crisis recovery DOI
Tianyu Pan, Rachel J.C. Fu

Current Issues in Tourism, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 20

Published: Jan. 25, 2024

Although crisis communication and recovery strategies have been studied extensively, the coping mechanisms of consumers during phase a product-harm insufficiently examined. This paper aims to investigate role consumers' health beliefs mental readiness travel in health-related crisis, which constitutes subset crises. To achieve this, Beliefs-Mental Readiness-Intention (BMRI) model was developed, three analyses were conducted validate this conceptual framework. The SEM established general psychological mechanism individuals' intention consume travel-related products introducing two newly developed measures: perceived benefits protection stigma consuming products. second analysis identified weak moderation effect diagnosis status model. Finally, theoretical managerial implications research findings comprehensively discussed.

Language: Английский

Understanding smart service failure: The case of smart restaurants DOI
IpKin Anthony Wong, Jingwen Huang, Zhiwei Lin

et al.

International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 119, P. 103714 - 103714

Published: Feb. 21, 2024

Language: Английский

Citations

8

Dark personality traits and dark tourism sites: Analysis of review generation and consumption behaviors DOI
Salman Yousaf, Jong Min Kim

Tourism Management Perspectives, Journal Year: 2023, Volume and Issue: 49, P. 101190 - 101190

Published: Oct. 11, 2023

Language: Английский

Citations

11

Have a Nice Flight! Understanding the Interplay Between Topics and Emotions in Reviews of Luxury Airlines in the Pre- and Post-Covid-19 Periods DOI
Masoud Shayganmehr, Indranil Bose

Information Systems Frontiers, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 25, 2024

Language: Английский

Citations

3

A Personalized Flight Recommender System Based on Link Prediction in Aviation Data DOI Creative Commons
Ho Yin Kan, Dennis Wong,

Keith Chau

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 36961 - 36973

Published: Jan. 1, 2024

Providing suitable flight recommendations to passengers is one of the essential requirements for ensuring customer satisfaction and maintaining a strong relationship with them in airline companies. Determining appropriateness passenger complex issue that can depend on various factors. Factors such as individual preferences, quality, possibility cancellations or delays need be simultaneously considered process making appropriate recommendations. Additionally, vast amount data adds complexity this issue. In article, personalized recommender system presented address these challenges. The proposed method utilizes link prediction strategy model user profiles habits, limiting set feasible Furthermore, Convolutional Neural Network (CNN) employed predict likelihood delays, enabling provide maximize their based information combined features. To reduce handling large datasets increase processing speed, approach clustering. technique, distributed into clusters using K-Means algorithm, recommendation cluster least distance user's performance was tested real data. experiments evaluated model's accuracy predicting delays/cancellations it provides. results demonstrated CNN achieved an average 95.13% delays/cancellations, showing at 2.4% improvement over compared methods. reported value 72.31%, surpassing works by 15.6% indicating its favorable providing accurate

Language: Английский

Citations

3

Tourists' emotional misattribution behavior under public health emergencies’ haze: Insights from a quasi-experiment DOI
Yujie Wang, Zili Zhang, Rob Law

et al.

Journal of Hospitality and Tourism Management, Journal Year: 2025, Volume and Issue: 62, P. 57 - 69

Published: Jan. 5, 2025

Language: Английский

Citations

0

Evaluation of the efficiency of world airports using WENSLO-ARTASI and Monte-Carlo simulation DOI
Dragan Pamučar, Mehmet Özçalıcı, Hasan Emin Gürler

et al.

Journal of Air Transport Management, Journal Year: 2025, Volume and Issue: 124, P. 102749 - 102749

Published: Jan. 21, 2025

Language: Английский

Citations

0

Recovery of hotels from the crises: evidence from tourists’ emotional changes by deep learning sentiment analysis DOI
Wenqing Xu,

Chenxi Yu,

C Zhang

et al.

Asia Pacific Journal of Tourism Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: Jan. 27, 2025

Language: Английский

Citations

0

Decoding user reviews for Low-cost airlines marketing: A global analysis of passenger preferences Aviation DOI Open Access
Fatih Pınarbaşı, Fatma Zeybek

Journal of Aviation, Journal Year: 2025, Volume and Issue: 9(1), P. 41 - 52

Published: Feb. 24, 2025

The airline industry is a key component in the transportation and tourism sectors thanks to its economic potential global scope, complex structure of customer preferences, competitive environment, changing dynamics require examination marketplace. In this context, it has been determined that many studies have focused on user market, while only few examined Low-cost sub-context market. This study aims investigate factors affecting consumer recommendation rating scores through reviews context airlines. study, regression analyzes difference tests were used 5672 airlinequality.com about 20 brands Skytrax’s World’s Best Airlines 2023 list. analysis, was seen value for money most important determining factor status scoring, followed by ground service, cabin crew seat comfort food beverage variables. Difference reveal solo leisure travelers tend rate recommend higher. It also concluded first-class passengers using LCC airlines higher tendency recommending.

Language: Английский

Citations

0

The role of destination brand experience, emotions and brand credibility in influencing destination brand equity DOI

Lin Shizhen,

Kashif Hussain, Neethiahnanthan Ari Ragavan

et al.

Journal of Hospitality and Tourism Insights, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Purpose This study aims to investigate the impact of destination brand experience on equity through role emotions and credibility. Design/methodology/approach The author adapted a quantitative with 460 tourists using structural equation modeling. Convenience sampling was applied who have traveled experienced products in Sanya city, China. Findings findings reveal that tourists’ perception can significantly their credibility, which ultimately overall assessment destination’s equity. Practical implications offers actionable insights for by embracing recommended strategies across sensory, affective, intellectual behavioral dimensions. In addition, building emotional connections credibility are vital benefit tourism market. Originality/value attempts fill gaps based SOR theory signaling theory. combination theory, researcher’s knowledge, has not been found previous study.

Language: Английский

Citations

0

Exploring the experience attributes of intangible cultural heritage through big data analytics DOI
Jian Ming Luo, Zongwei Hu, Wai Yie Leong

et al.

Journal Of Vacation Marketing, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Intangible cultural heritage, such as flamenco, renders destination marketing distinctive and enhances individuals’ psychological physical attachment to the destination. Consequently, understanding experiential attributes of intangible heritage is essential. Although numerous studies have examined empirical properties user-generated content, often referred ‘collective intelligence,’ has not been utilized investigate these properties. This study analyzed content through Latent Dirichlet allocation identify nine heritage. Drawing on social identity theory, this heterogeneity experience among domestic international tourists. Furthermore, investigated emotional analysis correlation between satisfaction. The results integrate theory into domain tourism, offering new insights contributing both theoretical practical implications within field.

Language: Английский

Citations

0