The Smart City DOI
Tarik Rhardas, Mohamed Amine Gueznai,

Hanane Rochdane

et al.

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 411 - 440

Published: Oct. 18, 2024

The objective of this study is to examine the influence smart cities on advancement tourism attractions in Morocco. Through an analysis interrelationship between these two domains, our ascertain potential advantages, obstacles, and advantages using intelligent technology industry. This aims offer suggestions for effectively carrying out a plan, emphasizing significance cooperation public private sectors incorporation creative approaches.

Language: Английский

Implementing Artificial Intelligence and Virtual Experiences in Hospitality DOI
Mohammad Badruddoza Talukder

Advances in hospitality, tourism and the services industry (AHTSI) book series, Journal Year: 2024, Volume and Issue: unknown, P. 145 - 160

Published: March 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.

Language: Английский

Citations

29

Smart Data Analysis and Prediction of Responsible Customer Behaviour in Tourism DOI

Naoual Bouhtati,

Lhoussaine Alla,

Ikram Ed-Daakouri

et al.

Advances in hospitality, tourism and the services industry (AHTSI) book series, Journal Year: 2024, Volume and Issue: unknown, P. 189 - 212

Published: June 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.

Language: Английский

Citations

23

Exploring the impact of AI-enhanced virtual tourism on Tourists' pro-environmental behavior: A stimulus-organism-response model perspective DOI
Shuang Wu, Siyao Wang

Acta Psychologica, Journal Year: 2025, Volume and Issue: 253, P. 104773 - 104773

Published: Feb. 3, 2025

Language: Английский

Citations

0

Blockchain and IoT Technologies for Sustainable Supply Chain Management DOI
Semih Özel

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 121 - 154

Published: Feb. 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.

Language: Английский

Citations

0

Harnessing AI and Blockchain in Sustainability Assurance DOI
K. Balaji

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 215 - 242

Published: Feb. 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.

Language: Английский

Citations

0

Enhancing happiness and well-being: AI-driven solutions for accessible, inclusive travel experiences for people with disabilities DOI
Jorge Alberto Mariño Romero,

Rafael Robina-Ramírez,

Juan Antonio Pavón‐Pérez

et al.

Disability and Rehabilitation Assistive Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: April 12, 2025

This study explores the relationship between happiness and well-being, with a particular focus on how Artificial Intelligence (AI) serves as catalyst for enhancing quality of life individuals disabilities. The research aims to analyze impact personal values, social interactions, external conditions, including AI-driven assistive technologies, subjective well-being. A quantitative approach was adopted, utilizing Smart-PLS relationships AI-based interventions, accessibility, study's sample consisted 780 employees selected randomly from 50 disability centers across Spain. Data were collected through structured surveys measuring AI-powered technologies-such smart navigation systems, virtual assistants, personalized travel recommendations-on autonomy, satisfaction in tourism settings. Findings indicate that tools tourism, such mobility solutions, customer service, adaptive planning significantly enhance well-being AI fosters greater independence, reduces travel-related stress, strengthens connections, making more inclusive enjoyable. While economic stability health conditions remain important, accessibility solutions engagement emerged strongest predictors among travelers highlights critical role technologies promoting accessible emphasizing their mental participation. results suggest investing innovations can improve experiences people disabilities, fostering sector. However, emotional is lacking, connection, freedom cultural immersion, which limits its happiness.

Language: Английский

Citations

0

Tourism Experiences via Metaverse DOI
Vijayakumar Ponnusamy, Dilliraj Ekambaram,

A. Bhavani

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 85 - 122

Published: March 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.

Language: Английский

Citations

0

MMKG-PAR: Multi-Modal Knowledge Graphs-Based Personalized Attraction Recommendation DOI Open Access
Gengyue Zhang, Hao Li, S. Y. Li

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 2211 - 2211

Published: March 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

Language: Английский

Citations

3

The impact of sustainability, digital technologies, and employee knowledge on the competitiveness of personalized tourist offer DOI Creative Commons
Cariša Bešić, Srđan Bogetić, Mihalj Bakator

et al.

Menadzment u hotelijerstvu i turizmu, Journal Year: 2024, Volume and Issue: 00, P. 10 - 10

Published: Jan. 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.

Language: Английский

Citations

3

ARTIFICIAL INTELLIGENCE (AI) IN SUSTAINABLE TOURISM: BIBLIOMETRIC ANALYSIS DOI Creative Commons
Paola Hermosa Del Vasto, María Lourdes Arco‐Castro

Cuadernos de Turismo, Journal Year: 2024, Volume and Issue: 53, P. 157 - 185

Published: June 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.

Citations

2