“Positive” or “Threatened”? The Impact of the Features in Generative Artificial Intelligence on Continued Behavior DOI
Li Zhao,

Yun Xu,

Siyang Zhou

et al.

Computers in Human Behavior, Journal Year: 2025, Volume and Issue: unknown, P. 108654 - 108654

Published: March 1, 2025

Language: Английский

AI-Powered ChatGPT in Sports Tourism DOI
Salman Bashir Memon, Jawaid Ahmed Qureshi, Samar Batool Shah

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 163 - 188

Published: March 12, 2025

This chapter explores how artificial intelligence (AI), particularly tools like ChatGPT, is revolutionizing the sports tourism industry. It details AI enhances various aspects of tourism, marketing, fan engagement, and event organization. By offering customized travel advice, events, accommodations based on individual preferences, significantly improves experience, making it more tailored unique. algorithms can create optimal schedules that influence tourists' decision-making, leading to higher satisfaction loyalty. also highlights need for studies assess effectiveness AI-driven personalization in tourism. Privacy ethics are critical concerns this context, as technologies involve extensive data collection analysis. The emphasizes importance addressing ethical issues ensuring compliance with protection regulations. AI's role managing including planning, logistics, ticket sales, crowd movement, resource management.

Language: Английский

Citations

0

Should I Use ChatGPT Travel Insurance Recommendations? A Dual‐Process Theory Perspective DOI
Halimin Herjanto, Muslim Amin, Cihan Çobanoğlu

et al.

International Journal of Consumer Studies, Journal Year: 2025, Volume and Issue: 49(2)

Published: March 1, 2025

ABSTRACT This study employed dual‐process theory to examine the behavioral intention follow ChatGPT's travel insurance recommendations. It investigated moderating role of literacy on relationship between attractiveness recommendations and adopt these In total, 378 usable questionnaires were collected through Prolific platform in United States. The findings showed that while perceived trust, accuracy, customization responsible for recommendations, convenience security had no significant effect. addition, it was found perceptions both “coolness” “creepiness” significantly affected At same time, influenced them. contrast, did not moderate recommendations' such is unique first employ Dual‐process this context. enhance our understanding which element (cognitive vs. affective) exerts most substantial influence based providing valuable insights into design marketing AI‐based services.

Language: Английский

Citations

0

AI service may backfire: Reduced service warmth due to service provider transformation DOI
Xingyang Lv, Yufan Yang,

Dazhi Qin

et al.

Journal of Retailing and Consumer Services, Journal Year: 2025, Volume and Issue: 85, P. 104282 - 104282

Published: March 18, 2025

Language: Английский

Citations

0

A Literature Review on the Emerging Trends of AI Applications in E-Retailing: Insights from the Journal of Retailing and Consumer Services DOI
Özge HABİBOĞLU

Abant Sosyal Bilimler Dergisi, Journal Year: 2025, Volume and Issue: 25(1), P. 365 - 389

Published: March 24, 2025

The use of artificial intelligence (AI) in the retail sector is steadily increasing. This study aims to reveal usage AI retailing over years. For thisKoh purpose, 137 studies published Journal Retailing and Consumer Services were analyzed according SPAR-4-SLR protocol. reviewed across four domains: publication year, consumer approach, technology applied, theoretical framework. Findings indicate that most 2024, primarily focusing on purchasing behavior, extensive chatbots, frequent application Technology Acceptance Model (TAM) grounding. research distinguishes itself by examining retailer-consumer behavior relationship, mainly contributing current knowledge this area. Keywords: AI, ıntelligence, retailing, behaviour

Language: Английский

Citations

0

“Positive” or “Threatened”? The Impact of the Features in Generative Artificial Intelligence on Continued Behavior DOI
Li Zhao,

Yun Xu,

Siyang Zhou

et al.

Computers in Human Behavior, Journal Year: 2025, Volume and Issue: unknown, P. 108654 - 108654

Published: March 1, 2025

Language: Английский

Citations

0