International Journal of Hospitality Management, Год журнала: 2024, Номер 124, С. 103973 - 103973
Опубликована: Окт. 19, 2024
Язык: Английский
International Journal of Hospitality Management, Год журнала: 2025, Номер 126, С. 104111 - 104111
Опубликована: Янв. 16, 2025
Язык: Английский
Процитировано
1
Advances in environmental engineering and green technologies book series, Год журнала: 2025, Номер unknown, С. 213 - 240
Опубликована: Янв. 24, 2025
Agriculture is the major source of income for rural community. When agriculture merges with tourism sector, a new sphere activity created, known as agritourism. The technology involved in artificial intelligence has created gathering momentum every field activity. Artificial techniques help to improve farming activities and visitors also feel enhance their tourist experience, thereby leading behavioural intention. Hence, primary purpose this book chapter know concepts agritourism, describe importance AI identify benefits stakeholders, pinpoint barriers integration agritourism case studies related application industry. Thus, using not only helps have memorable experiences, but local community gets advantage sustainability terms social, economic, environmental aspects.
Язык: Английский
Процитировано
1
Journal of Hospitality and Tourism Management, Год журнала: 2025, Номер 62, С. 276 - 283
Опубликована: Фев. 14, 2025
Язык: Английский
Процитировано
1
Sustainability, Год журнала: 2024, Номер 16(17), С. 7435 - 7435
Опубликована: Авг. 28, 2024
This paper aims to develop a groundbreaking approach fostering inclusive smart tourism destinations by integrating generative artificial intelligence (Gen AI) with natural language processing (NLP) and the Internet of Things (IoT) into an intelligent platform that supports decision making travel planning in destinations. The acquisition this new technology was conducted using Agile methodology through requirements analysis, system architecture analysis design, implementation, user evaluation. results revealed synergistic combination these technologies organized three tiers. provides information, including place names, images, descriptive text, audio option for users listen supporting tourists disabilities. Employing advanced AI algorithms alongside NLP, developed systems capable generating predictive analytics, personalized recommendations, conducting real-time, multilingual communication tourists. implemented evaluated Suphan Buri Ayutthaya, UNESCO World Heritage sites Thailand, 416 participating. showed satisfaction influenced (1) experience, (2) during-trip factors (attention, interest, usage), (3) emotion. relative Chi-square (χ2/df) 1.154 indicated model suitable. Comparative Fit Index (CFI) 0.990, Goodness-of-Fit (GFI) 0.965, based on research hypothesis consistent empirical data. contributions significant advancements field demonstrating integration Gen AI, IoT offering practical solutions theoretical insights enhance accessibility, personalization, environmental sustainability tourism.
Язык: Английский
Процитировано
6
Tourism Management, Год журнала: 2024, Номер 107, С. 105046 - 105046
Опубликована: Сен. 17, 2024
Язык: Английский
Процитировано
5
International Journal of Contemporary Hospitality Management, Год журнала: 2025, Номер unknown
Опубликована: Янв. 14, 2025
Purpose This study aims to explore the impacts of service industry employees’ AI awareness on their voice behavior while also considering dual mediating roles efficacy and job insecurity, as well moderating role trait competitiveness. Design/methodology/approach The sample comprises data from a two-wave longitudinal survey 203 employees in sector. examined all hypotheses using Mplus 8.0. Findings confirms that sector has significant negative effects both promotive prohibitive behaviors. Voice can mediate impact voice. Both insecurity Furthermore, competitiveness weaken efficacy. Practical implications Managers should first investigate then adopt targeted managerial strategies promote behavior. Originality/value contributes literature related consequences by linking employee this deepens our understanding how affects proposing (i.e. pathway) safety key mechanisms. Moreover, advances when influences identifying
Язык: Английский
Процитировано
0
International Journal of Hospitality Management, Год журнала: 2025, Номер 126, С. 104090 - 104090
Опубликована: Янв. 16, 2025
Язык: Английский
Процитировано
0
International Journal of Contemporary Hospitality Management, Год журнала: 2025, Номер unknown
Опубликована: Фев. 28, 2025
Purpose The widespread use of artificial intelligence (AI) technology in the hospitality industry has triggered concerns among frontline service employees about their future careers, namely, AI awareness. This study aims to explore whether awareness influences employees’ silence through psychological contract breach and this process is contingent on moral identity, drawing social exchange theory identity theory. Design/methodology/approach data were collected from 355 Chinese hotels using a two-wave survey. SPSS macro PROCESS Model 58 was used test proposed hypotheses. Findings increases by prompting breach. moderated identity. Specifically, mitigates effect silence. Practical implications Organizations managers should pay attention impact take measures help them better adapt rapidly changing work environment. In particular, it helps reduce fostering positive attitudes toward AI, maintaining contracts developing identities. Originality/value enriches research outcomes directing our Moreover, not only explores responses that make as “economic persons” but also examine they, “moral persons,” regulate under AI. Exploring dual identities bring closer realities managerial practice, thereby contributing understanding management complex shocks.
Язык: Английский
Процитировано
0
International Journal of Hospitality Management, Год журнала: 2025, Номер 128, С. 104164 - 104164
Опубликована: Март 18, 2025
Язык: Английский
Процитировано
0
Journal of Hospitality and Tourism Management, Год журнала: 2025, Номер 63, С. 54 - 67
Опубликована: Март 26, 2025
Язык: Английский
Процитировано
0