Tourism Management, Год журнала: 2024, Номер 106, С. 105027 - 105027
Опубликована: Авг. 14, 2024
Язык: Английский
Tourism Management, Год журнала: 2024, Номер 106, С. 105027 - 105027
Опубликована: Авг. 14, 2024
Язык: Английский
Information, Год журнала: 2024, Номер 15(6), С. 346 - 346
Опубликована: Июнь 12, 2024
In addressing the nuanced interplay between consumer attitudes and Artificial Intelligence (AI) use readiness in physical retail stores, main objective of this study is to test impacts prior experience, as well perceived risks with AI technologies, self-assessment consumers’ ability manage moderator role gender relationship. Using a quantitative cross-sectional survey, data from 243 consumers familiar technologies were analyzed using structural equation modeling (SEM) methods explore these dynamics context stores. Additionally, moderating tested after invariance analysis across both groups. Key findings indicate that positive experience positively influences while serve deterrent. Gender differences significantly moderate effects, more negatively impacting women’s showing stronger impact on men’s readiness. The concludes retailers must consider gender-specific perceptions toward develop effective strategies for technology integration. Our research also highlights need address barriers biases when adopting technology.
Язык: Английский
Процитировано
4Tourism Management, Год журнала: 2024, Номер 108, С. 105093 - 105093
Опубликована: Ноя. 23, 2024
Язык: Английский
Процитировано
4Service Industries Journal, Год журнала: 2024, Номер unknown, С. 1 - 22
Опубликована: Май 2, 2024
The ongoing Fourth Industrial Revolution, which is driven by artificial intelligence (AI) and other disruptive technologies, has attracted a surge of AI studies. Previous reviews primarily offered bird's view research were somewhat one-sided focusing on AI's bright sides. Reviews the networks resources, process dynamics, divergent outcomes this complex system are rare, if any. This review article aims to fill gap deconstructing how value formed in AI-integrated service system. Guided SPAR-4-SLR protocol interactive formation framework, study reviewed analyzed state-of-the-art studies (i.e. 2019–2023) published six selected top-tier hospitality tourism journals. makes contributions outlining resource orchestration, integration practices, tourism. Future directions implications also provided advance field.
Язык: Английский
Процитировано
3Current Issues in Tourism, Год журнала: 2024, Номер unknown, С. 1 - 19
Опубликована: Май 21, 2024
Artificial intelligence large language models (AI-LLMs) can become valuable travel advisors but often suffer from hallucinations that diminish consumers' confidence in their results. This study explores the relationship between tourists and AI model interactions by analyzing how (i) attachment-aversion affects motivational strength for using as (ii) moderation role of forgiveness symbolic benefits consumers get those relationship. A sample 451 participants a Qualtrics survey was used to test conceptual proposed framework. Findings reveal important enriching self enticing shaping relationships. Forgiveness strengthens (symbolic benefits) attachment-aversion. research guide managers its findings develop customised AI-LLMs foster engaging dialogues with travellers, enhance feelings attachment, forgive any potential missteps throughout
Язык: Английский
Процитировано
3Tourism Management, Год журнала: 2024, Номер 106, С. 105027 - 105027
Опубликована: Авг. 14, 2024
Язык: Английский
Процитировано
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