AI enabled travel: a MOA-nificent journey DOI
Sumit Saxena, Rahul Pratap Singh Kaurav, Aishwarya Ramasundaram

et al.

Asia Pacific Journal of Tourism Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: April 2, 2025

Exploring consumer intentions to continue: Integrating task technology fit and social technology fit in generative AI based shopping platforms DOI
Debarun Chakraborty, Ciro Troise, Stefano Bresciani

et al.

Technovation, Journal Year: 2025, Volume and Issue: 142, P. 103189 - 103189

Published: Feb. 12, 2025

Language: Английский

Citations

1
What Drives AIGC Product Users to Keep Coming Back? Unveiling the Key Factors Behind Continuance Intention DOI
Chuanfeng Sun, Guihuang Jiang, Zhang Jingqiang

et al.

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: March 12, 2025

Language: Английский

Citations

0
ChatGPT use in hospitality and tourism: a multi-analytic approach DOI
Heesup Han, Seongseop Kim, Tadesse Bekele Hailu

et al.

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

Published: March 13, 2025

This study explored the antecedents of tourists' intentions to use ChatGPT for seeking information, and investigated effect these, using a fuzzy-set approach. The performed complex configurational assessment technology acceptance model (TAM), theory planned behavior (TPB), behavioral reasoning (BRT) predict strong weak AI chatbots hospitality tourism information. To attain this research goal, total 604 questionnaires were collected Korean customers who used in Korea. Results analyses indicated that multiple factors rooted TAM, TPB, BRT, showed significant interactions resulting both desirable undesirable outcomes. Furthermore, essential role convenience was found be one BRT increased ChatGPT. present differs from earlier studies it nature intentions, therefore findings advance current knowledge offer novel insights practitioners.

Language: Английский

Citations

0
Examining generative AI user continuance intention based on the SOR model DOI
Tao Zhou,

Xinjie Ma

Aslib Journal of Information Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Purpose The purpose of this research is to examine generative artificial intelligence (AI) user continuance intention based on the stimulus-organism-response model. Design/methodology/approach We adopted a mixed method structural equation modeling and fuzzy-set qualitative comparative analysis conduct data analysis. Findings results found that AI content quality (perceived personalization, perceived accuracy credibility) system interactivity, anthropomorphism intelligence) affect sense empowerment satisfaction, both which further determine intention. Originality/value Extant has identified effect flow, trust parasocial interaction continuance, but it seldom disclosed internal decisional process This tries fill gap, enrich extant continuance.

Language: Английский

Citations

0
Generative artificial intelligence in tourism management: An integrative review and roadmap for future research DOI
Hengyun Li, Jianpu Xi, Cathy H.C. Hsu

et al.

Tourism Management, Journal Year: 2025, Volume and Issue: 110, P. 105179 - 105179

Published: March 31, 2025

Language: Английский

Citations

0
AI enabled travel: a MOA-nificent journey DOI
Sumit Saxena, Rahul Pratap Singh Kaurav, Aishwarya Ramasundaram

et al.

Asia Pacific Journal of Tourism Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: April 2, 2025

Citations

0