Computers in Human Behavior, Год журнала: 2025, Номер unknown, С. 108654 - 108654
Опубликована: Март 1, 2025
Язык: Английский
Computers in Human Behavior, Год журнала: 2025, Номер unknown, С. 108654 - 108654
Опубликована: Март 1, 2025
Язык: Английский
Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 163 - 188
Опубликована: Март 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.
Язык: Английский
Процитировано
0International Journal of Consumer Studies, Год журнала: 2025, Номер 49(2)
Опубликована: Март 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.
Язык: Английский
Процитировано
0Journal of Retailing and Consumer Services, Год журнала: 2025, Номер 85, С. 104282 - 104282
Опубликована: Март 18, 2025
Язык: Английский
Процитировано
0Abant Sosyal Bilimler Dergisi, Год журнала: 2025, Номер 25(1), С. 365 - 389
Опубликована: Март 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
Язык: Английский
Процитировано
0Computers in Human Behavior, Год журнала: 2025, Номер unknown, С. 108654 - 108654
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
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