Published: April 18, 2024
Language: Английский
Journal of Hospitality and Tourism Insights, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 14, 2025
Purpose Edible food packaging provides a solution to the solid waste problem caused by traditional packaging. However, tourists’ readiness adopt this novel technology is unclear. Design/methodology/approach An online survey was conducted examine how motivated consumer innovativeness (CI), environmental awareness, perceived behavioral control, subjective norms and attitudes influence tourists' purchase behaviors in context of edible tourism industry. The collected data were analyzed using structural equation modeling (SEM) with SmartPLS 3.2.8. Findings results analysis indicate that each sub-factor positively influences attitudes. Additionally, attitudes, norms, control personal found significantly impact intentions. Environmental awareness moderate relationships between (1) intention, (2) intention (3) attitude intention. These findings expand applicability diffusion innovation, planned behavior theories, offering useful insights for foodservice professionals. Research limitations/implications This study emphasizes key implications industries, as consumers an innovative higher are more likely Identifying these factors will help stakeholders establish effective strategies reduction through solutions. Originality/value research uniquely investigates adoption integrating theories innovation diffusion, awareness. It offers into various psychological social within
Language: Английский
Citations
1
Behaviour and Information Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 29
Published: March 11, 2025
Language: Английский
Citations
1
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 78799 - 78810
Published: Jan. 1, 2024
Recently, we have observed a noticeable evolution and growing use incorporation of chatbots on websites, mobile social networking apps. A chatbot is computer program that exhibits capacity to converse quite naturally with users in way resembles human dialogue. Examples can be found several areas, including education, commerce, tourism. The Artificial Intelligence (AI) its sub-fields, such as Machine Learning, Deep Natural Language Processing (NLP), increasing across all business sectors. One the most advanced applications this technology chatbot, which particularly beneficial due quick response times simplicity. Nevertheless, although studies exist tourism, academic research covering their adoption, technological evolution, impact sector still relatively sparse. Therefore, study aims provide comprehensive overview effect First, new classification based specific criteria. Second, explore conceptual architecture key components. Third, assess contrast main existing tools for developing chatbots, classifying them highlighting advantages disadvantages. Fourth, examine integration tourism by identifying industry over past decade. Additionally, it seeks analyze various functionalities outlined 6A framework To achieve this, thorough search will conducted using five prominent databases - Scopus, ACM, IEEE Xplore, Springer Link, Web Science period from 2013 2023. For study, 1155 publications were reviewed after applying systematic review protocol purpose, questions, keywords, digital libraries, strings, inclusion exclusion Only 31 identified primary studies.
Language: Английский
Citations
6
Worldwide Hospitality and Tourism Themes, Journal Year: 2024, Volume and Issue: 16(2), P. 232 - 247
Published: April 23, 2024
Purpose Artificial intelligence is one of the most significant and active fields study in last few years. intelligence-derived robotic technologies known as chatbots are gaining interest from both academic industry sectors. By analyzing development patterns research on chatbot phenomena within tourism field, this seeks to develop a theoretical framework for interaction between tourism. Design/methodology/approach The Web Science (WoS) database’s 33 articles related travel hospitality were examined 2019 2024 using VOSviewer software bibliometric thematic content analysis. Findings Research appears be its early stages. factors influencing tourists' intentions use have been thoroughly researched; attitudes, perceptions behavioral destinations, agencies restaurant patrons regarding examined, it was found that quantitative approach dominant. In addition, majority studies based particular theory or model. Originality/value This first attempts directly comprehend depict interconnected structures through network Furthermore, study’s findings can offer academics comprehensive viewpoint reference manual more accurate assessment oversight chatbot-tourism interaction. Regarding lack topic fragmented structure exist, imperative provide overview roadmap future investigations into usage sector.
Language: Английский
Citations
5
The International Review of Retail Distribution and Consumer Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 32
Published: Jan. 15, 2025
Despite the potential of Virtual Fitting Rooms in overcoming difficulties online shopping, retailers are grappling to expedite their widespread adoption. By integrating technology acceptance model and perceived risk theory, this study validates a comprehensive framework examine impact value on A cross-sectional survey-based research design was adopted using structural equation modelling process macro. The results reflect that while positively impacts consumers' behavioural intention use VFRs, exhibited an inverse relationship with VFRs. Also, confirm VFRs exerted significant Additionally, it found consumer self-confidence moderates between value, intention, innovativeness has no moderation effect This provides novel insights web designers appropriate strategies integrate into systems enhance consumers'shopping experience.
Language: Английский
Citations
0
Tourism Recreation Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17
Published: March 6, 2025
Language: Английский
Citations
0
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
Tourism Recreation Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14
Published: April 25, 2025
Language: Английский
Citations
0
International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 130, P. 104254 - 104254
Published: May 9, 2025
Language: Английский
Citations
0
Journal of Hospitality and Tourism Technology, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 31, 2024
Purpose Given the importance of chatbots in customer service tourism, this paper aims to understand drivers that predispose regular consumers restaurant recommendation continue using them. Design/methodology/approach A total 386 a chatbot via WhatsApp recommender responded an online questionnaire (inspired by scales found literature on technology adoption). Structural equation modeling was used test hypotheses. Findings Significant predictors intention these included “effort expectancy (EE),” “hedonic motivation (HM),” “price value (PV)” and “habit (HT).” Specifically, HT still has long way go terms its performance, it will be possible work it. Furthermore, two variables, EE HM, act as bottleneck when comes explaining recurrent usage intention. Factors such “performance (PE),” “facilitating conditions (FC)” “social influence (SI)” did not “behavioral (BI).” Likewise, moderating age gender, are significant. Finally, predictive capability model is demonstrated. The study findings enable development effective strategies foster consumer loyalty new industry. Originality/value This contributes, building suitability unified theory acceptance use 2 model, explain users’ tourism services context information search for unplanned varied purchase decision, namely, services. To best authors’ knowledge, first analysis tourist’s reuse real fully functional mobile instant messaging.
Language: Английский
Citations
3