Conceptual Model of Innovation Decision Process and Hesitation to Adopt Augmented Reality in Tourism Industry DOI
Achaporn Kwangsawad, Paingruthai Nusawat, Aungkana Jattamart

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 26

Опубликована: Дек. 6, 2024

Augmented reality (AR) is gaining popularity in tourism by improving immersive experiences. Therefore, understanding the factors influencing perceptions and barriers critical. This study examines visitors' attitudes decision making hesitation. The innovation process a conceptual model for comprehending user decisions analyzing AR features visitor characteristics. early majority of users completed 401 online questionnaires. causal relationships were investigated using PLS-SEM IPMA. results discovered that visual appeal environmental embedding influenced attitudes. found low tourist memorability affected resistance dimensions perception show novelty enjoyment significantly influence Additionally, we hesitation to reuse AR, revisit engage EWOM. IPMA indicate attitude effective crucial reducing present novel framework integrates domains policy, people technology.

Язык: Английский

Impact of Smart Tourism Technology Attributes on Perceived Usefulness, Service Experience Evaluation, and Business Performance: A Perspective of Hotel Employees DOI
Pimtong Tavitiyaman, Xinyan Zhang, Jing Xu

и другие.

Journal of Quality Assurance in Hospitality & Tourism, Год журнала: 2024, Номер unknown, С. 1 - 26

Опубликована: Фев. 5, 2024

Hotel employees play an important role in enhancing guests' service experience and business performance through smart tourism technology (STT) attributes. This study explores the relationships among STT attributes (informativeness, accessibility, interactivity, personalization, function), perceived usefulness, evaluation, from hotel employees' perspectives empirical of industry Hong Kong. The purposes this are to 1) explore current SST applications organizations, 2) assess effects on performance, 3) mediating effect usefulness between evaluation. From responses 274 Kong, results indicated a positive personalization function which turn influenced evaluation performance. Furthermore, was found have relationship contributes TAM model's theoretical development managerial implications for organizations.

Язык: Английский

Процитировано

5

Engaging with AI in tourism: a key to enhancing smart experiences and emotional bonds DOI
Watchara Chiengkul,

Putthasak Kumjorn,

Thanawat Tantipanichkul

и другие.

Asia-Pacific Journal of Business Administration, Год журнала: 2025, Номер unknown

Опубликована: Янв. 25, 2025

Purpose This study aims to explore how engagement with AI mediates the relationship between adoption in tourism and resulting smart experiences, which ultimately foster both love perceived happiness among tourists. Design/methodology/approach Data were collected from 622 domestic Thai tourists aged 19 above who visited Khon Kaen Province within past three months used AI-powered tools for tourism. The hypothesised model was tested using structural equation modelling (SEM) through a two-step approach. Findings reveals that successful integration of largely depends on depth tourists’ these technologies. Greater fosters enriched experiences stronger emotional bonds. Research limitations/implications utilises stimulus-organism-response (S-O-R) examine impact tourist behaviour, making substantial theoretical contributions expanding body literature Practical implications Tourism operators policymakers should prioritise fostering meaningful technologies enhance strengthen connections destinations, aligning Thailand’s digital transformation initiatives. Originality/value emphasises crucial role – rather than mere shaping outcomes, thereby contributing

Язык: Английский

Процитировано

0

A Machine Learning Approach to Tourists’ Willingness to Revisit Hotels DOI
Mine AYDEMİR, Nuran BAYRAM ARLI

Springer proceedings in business and economics, Год журнала: 2025, Номер unknown, С. 687 - 698

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Digital Engagement and Visitor Satisfaction at World Heritage Sites: A Study on Interaction, Authenticity, and Recommendations in Coastal China DOI Creative Commons

Yuan Zhang,

Árpád Papp-Váry, Zoltán Szabó

и другие.

Administrative Sciences, Год журнала: 2025, Номер 15(3), С. 110 - 110

Опубликована: Март 19, 2025

This study investigates the impact of digital transformation on visitor satisfaction, engagement, and recommendation intentions at World Heritage Sites in Chinese coastal cities. A survey-based quantitative research design was employed, collecting data from four hundred two respondents across eight cities using systematic random sampling. structural equation modeling (SEM) applied to analyze relationships among participation, perceived authenticity, behaviors. Results highlight that technologies such as VR AR enhance driving Extending Cultural Authenticity Theory satisfaction–loyalty frameworks, emphasizes dynamic interplay tools cultural narratives. Practical recommendations focus implementing culturally sensitive, interactive strategies strengthen heritage tourism’s sustainability. Future is encouraged explore emerging like AI metaverse.

Язык: Английский

Процитировано

0

Virtual Journeys, Real Engagement: Analyzing User Experience on a Virtual Travel Social Platform DOI Creative Commons
Anakarina Nazare, Alin Moldoveanu, Florica Moldoveanu

и другие.

Information, Год журнала: 2024, Номер 15(7), С. 396 - 396

Опубликована: Июль 8, 2024

A sustainable smart tourism ecosystem relies on building digital networks that link tourists to destinations. This study explores the potential of web and immersive technologies, specifically Virtual Romania (VRRO) platform, in enhancing by redirecting tourist traffic lesser-known destinations boosting user engagement through interactive experiences. Our research examines how virtual platforms (VTPs), which include web-based support tourism, complement physical visits, influence engagement, foster community social features user-generated content (UGC). An empirical analysis VRRO platform reveals high levels, attributed its intuitive design features, regardless users’ technological familiarity. findings also highlight necessity for ongoing enhancements maintain satisfaction. In conclusion, demonstrates accessible innovative technologies can modernize travel experiences contribute evolution broader supporting practices fostering engagement.

Язык: Английский

Процитировано

3

Artificial Intelligence in Tourism DOI

Fabrizio Traversa

Elsevier eBooks, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

2

Recommender systems applied to the tourism industry: a literature review DOI Creative Commons
Andrés Solano-Barliza, Isabel Arregocés-Julio, Marlin Aarón-Gonzalvez

и другие.

Cogent Business & Management, Год журнала: 2024, Номер 11(1)

Опубликована: Июнь 25, 2024

Recommender systems -RS- have experienced exponential growth in various fields, especially the tourism sector, improving activities' accuracy, personalization, and experience, thus strengthening indicators such as promotion. However, some challenges opportunities exist to overcome, lack of data on emerging destinations wishing adopt these solutions. This manuscript presents a literature review current trends RS applied industry, including categories associated with their use techniques. Likewise, it pathway for implementing an when insufficient are available destination. The SLR followed Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines used WoS, Science Direct, Scopus databases. results show that hybrid integrates deep learning algorithms, analytics, optimisation techniques collaborative features provide innovative solutions terms performance, personalisation recommendations, achieving management tourist or tourism-oriented services. Emerging should sources generated by tourists social media, portals, through interaction tour operators. New recommender system can emerge following integrating new technologies based user collaboration, integration multiple sources.

Язык: Английский

Процитировано

1

Unveiling the Impact of Perceived Smart Tourism Technology on Tourist Satisfaction DOI
Praveen Srivastava, Gautam Shandilya

Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 147 - 170

Опубликована: Июнь 14, 2024

This study explores the intricate relationship between perceived smart tourism technology (STT) experiences and tourist satisfaction (TS), recognizing pivotal role played by innovative technologies in shaping contemporary travel experiences. The research employs a comprehensive approach to assess how tourists' perceptions of technology, including factors such as informativeness, interactivity, personalization, influence overall satisfaction. By utilizing SmartPLS, aims uncover nuanced insights into dynamics that govern interplay levels modern tourists. methodology involves collection perceptual data from diverse sample tourists throughout India, encompassing various applications within sector. Employing sophisticated statistical analyses, regression modeling structural equation modeling, seeks quantify impact different aspects on contributes evolving landscape providing robust understanding its findings are expected have practical implications for industry stakeholders, informing strategic decisions regarding integration enhancement optimize experience. Ultimately, this advances discourse leveraging meet expectations underscores importance driving

Язык: Английский

Процитировано

1

The Influence of Smart Tourism Technologies on Tourist Engagement, Memorable Experience, and Destination Loyalty: The Moderating Role of Place Identity DOI
Bunyod Matyusupov, Belén Bande, Sandra Castro‐González

и другие.

Services Marketing Quarterly, Год журнала: 2024, Номер unknown, С. 1 - 27

Опубликована: Ноя. 7, 2024

Smart tourism technologies (STTs) are essential for destinations to be competitive. While this encourages researchers understand how STTs impact important factors in destinations, there remain gaps the existing research. Therefore, study aims examine and when influence destination loyalty, considering different roles of tourist engagement, memorable experience (MTE), place identity. The information provided by 393 tourists confirmed that significantly MTE, two variables—tourist engagement MTE—mediate relationship between loyalty. Moreover, identity moderates engagement.

Язык: Английский

Процитировано

0

An Investigation of the Intention to Visit Smart Tourism Destinations: Domestic Travelers vs. International Travelers DOI Open Access
Winai Nadee, Laddawan Kaewkitipong, Peter Ractham

и другие.

Sustainability, Год журнала: 2024, Номер 16(23), С. 10484 - 10484

Опубликована: Ноя. 29, 2024

Smart tourism technologies (STTs) enable tourists to obtain travel information instantly and conduct several contactless transactions, which are preferred by travelers limit the amount of unnecessary contacts after COVID-19 pandemic. Based on theory planned behavior (TPB), this paper surveyed 451 investigated influence attitudes self-efficacy an intention visit smart destinations. Attributes STTs tourists’ expertise personal innovativeness were explored understand their self-efficacy. Furthermore, we examined moderating effect being domestic or international address differences in self-efficacy, attitudes, behavioral intention. Our research findings show that have a stronger than does, interactivity has strongest effect, among other factors, attitudes. The finding suggests focusing providing interactive services can respond quickly requests together with personalized information, providers would be able enhance Tourist type (domestic vs. international) did moderate effects personalization towards STTs. highlights between two groups provides initial point for future research.

Язык: Английский

Процитировано

0