Communications in computer and information science, Год журнала: 2024, Номер unknown, С. 321 - 334
Опубликована: Окт. 18, 2024
Язык: Английский
Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 145 - 160
Опубликована: Март 4, 2024
AI and virtual experiences have revolutionized the hotel tourism business, offering new opportunities to improve visitor experiences, speed up processes, increase customer satisfaction. Technology is transforming hospitality boost efficiency innovation in this fast-paced environment. Hotel websites mobile apps need chatbots assistants handle bookings, inquiries, personalized advice efficiently. Virtual tours show hotels, facilities, neighborhood activities assist travelers their choices. Travel businesses highlight destinations provide customers with before leaving. algorithms use demand, seasonality, local events prices revenue management. concierges offer real-time help individualized recommendations. are revolutionizing administration tourism, improving efficiency, guest satisfaction, hospitality. Businesses that adopt these technologies stay ahead of industry satisfy modern customers.
Язык: Английский
Процитировано
29
Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 189 - 212
Опубликована: Июнь 3, 2024
This research seeks to analyze how the use of smart data analytics solutions by tourism stakeholders can promote prediction responsible customer behavior. After a theoretical and conceptual framework, study is based on an exploratory literature review. It revealed adoption range businesses tourist destinations in order better predict attitudes concrete actions reflecting eco-responsible behavior tourists. Despite inherent limitations approach, results show multiple good practices that be adopted industry players understand, anticipate, even guide their customers prospects.
Язык: Английский
Процитировано
23
Acta Psychologica, Год журнала: 2025, Номер 253, С. 104773 - 104773
Опубликована: Фев. 3, 2025
Язык: Английский
Процитировано
0
IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 121 - 154
Опубликована: Фев. 5, 2025
In today's increasingly complex global trade landscape, sustainable supply chain management has become a pressing concern. Traditional methods are proving inadequate to meet the challenges posed by length, complexity, and impacts of modern chains. this context, emerging digital technologies such as Blockchain Internet Things (IoT) offer promising solutions enhance transparency, reliability, efficiency in operations. This chapter explores potential IoT driving practices within Through comprehensive review existing literature real-world case studies, it examines how these can mitigate environmental social risks, ensure ethical standards, improve overall sustainability.
Язык: Английский
Процитировано
0
IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 215 - 242
Опубликована: Фев. 26, 2025
The integration of artificial intelligence (AI) and blockchain technology is revolutionizing sustainability assurance, setting new benchmarks for transparency, accuracy, accountability. This article explores current trends innovative applications AI in verifying corporate efforts, from automated data analysis to secure, decentralized record-keeping. By leveraging real-time monitoring insights, organizations can better track environmental social impacts, while ensures integrity traceability across supply chains. These advancements enhance stakeholder trust support regulatory compliance, addressing increasing demands robust verification global markets. Furthermore, the paper discusses challenges such as privacy implementation costs, offering insights into potential long-term impact these technologies on governance. examining recent case studies market trends, this outlines a future where technology-driven assurance processes.
Язык: Английский
Процитировано
0
Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 85 - 122
Опубликована: Март 12, 2025
The growth and development of the Metaverse in last decades will significantly impact tourism sector. Utilizing virtual reality (VR) enable worlds, characters, twin systems, novel social networks. can enhance compilation resources support sustainable . This chapter explores crucial applications metaverse technology that transform conventional tourist paradigm, such as digital eco-tours, museums, cultural performances, mementoes. It unique experiences provides travellers during three phases their excursions, encompassing pre-, post, present trips. evaluates consequences for customer perception, behavior, challenges to integration advantages industry are comprehensively analyzed. concludes by emphasizing need continuous investigation innovation presents suggestions future study.
Язык: Английский
Процитировано
0
Sustainability, Год журнала: 2024, Номер 16(5), С. 2211 - 2211
Опубликована: Март 6, 2024
As the tourism industry rapidly develops, providing personalized attraction recommendations has become a hot research area. Knowledge graphs, with their rich semantic information and entity relationships, not only enhance accuracy personalization of recommendation systems but also energize sustainable development industry. Current mainly focuses on single-modal knowledge modeling, limiting in-depth understanding complex characteristics relationships. To address this challenge, paper proposes multi-modal graphs-based (MMKG-PAR) model. We utilized data from “Travel Yunnan” app, along users’ historical interaction data, to construct collaborative graph for Yunnan tourist attractions, which includes various forms such as images text. Then, we employed advanced feature extraction methods extract useful features (images text), these were used attributes representation nodes. more effectively process graph-structured capture relationships between nodes, our model incorporated neural networks introduced an attention mechanism mining inferring higher-order about entities. Additionally, MMKG-PAR dynamic time-weighted strategy representing users, capturing precisely describing dynamics user behavior. Experimental results demonstrate that surpasses existing in recommendations, significant support continuous innovation
Язык: Английский
Процитировано
3
Menadzment u hotelijerstvu i turizmu, Год журнала: 2024, Номер 00, С. 10 - 10
Опубликована: Янв. 1, 2024
Purpose - The travel and hotel industry is undergoing significant shifts influenced by the digital revolution, evolving sustainable development practices, changing tourist demographics. primary aim of this study to develop a theoretical framework that explores interplay between technologies, development, customization offers meet varied needs different generations (X, Y, Z). Methodology methodological approach paper involves comprehensive literature review analysis focusing on impacts technology adoption practices within industry. Findings revealed potential for technologies sustainability initiatives improve competitiveness organizations. findings suggest strategic emphasis innovation environmental responsibility, coupled with focus workforce can lead more appealing customized tourists various age groups. Implications must embrace remain competitive. proposed lays foundation future research aimed at empirically testing these concepts further understanding in era.
Язык: Английский
Процитировано
3
Cuadernos de Turismo, Год журнала: 2024, Номер 53, С. 157 - 185
Опубликована: Июнь 28, 2024
Artificial Intelligence (AI) has gained attention in tourism, which requires its sustainability. Our study focuses on a bibliometric analysis of AI sustainable tourism using 174 manuscripts from 2000 to 2022. One the main findings is that 'intelligence' appears frequently, followed by related terms such as work, performance, resources, sustainability, impact, optimization and management. There no previous evidence context explain how public managers or politicians design policies create improve resource efficiency. La Inteligencia (IA) ha ganado atención en el turismo, que requiere su sostenibilidad. Nuestro estudio se centra un análisis bibliométrico de la IA turismo sostenible utilizando manuscritos Una las principales conclusiones es "inteligencia" aparece con frecuencia, seguida términos relacionados como trabajo, rendimiento, recursos, sostenibilidad, impacto, optimización y gestión. No existen pruebas previas sobre contexto del expliquen cómo los gestores públicos o políticos diseñan políticas públicas para crear mejorar eficiencia recursos.
Процитировано
2
Advances in business strategy and competitive advantage book series, Год журнала: 2024, Номер unknown, С. 292 - 320
Опубликована: Июнь 30, 2024
This study examines the role and importance of Artificial Intelligence assistants in transforming tour travel operations, with goal investigating their purpose. AI assistants, utilizing machine learning algorithms natural language processing, are revolutionizing way companies engage customers, optimize make informed decisions. The methodology entails harnessing technology to create chatbots, virtual predictive analytics tools customized industry's specific requirements. Although offer advantages, they may encounter constraints such as accuracy challenges, reliance on data integrity, ethical concerns related privacy bias. Recognizing these while capitalizing revolutionary capabilities is crucial for fully utilize worth remain competitive changing industry environment.
Язык: Английский
Процитировано
2