Journal of the Air Transport Research Society, Год журнала: 2024, Номер unknown, С. 100051 - 100051
Опубликована: Ноя. 1, 2024
Язык: Английский
Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 162 - 182
Опубликована: Май 3, 2024
This chapter investigates the impact of artificial intelligence (AI) on shaping future tourism industry. Given advancements in AI technology, its transformative potential various facets sector is substantial. The delves into applications AI, including personalized travel recommendations, chatbot customer service, demand forecasting, and smart destination management. It explores both advantages challenges linked to implementing tourism, covering ethical considerations workforce implications. findings emphasize AI's capability enhance experiences, streamline operational processes, foster more sustainable resilient practices. concludes with recommendations for industry stakeholders maximizing benefits while addressing associated shape a aligned this technology.
Язык: Английский
Процитировано
8
Libri, Год журнала: 2024, Номер 74(3), С. 211 - 223
Опубликована: Июнь 26, 2024
Abstract The Fifth Industrial Revolution is ushering in a profound era of technological advancement and societal transformation, prompting critical examination the evolving role libraries this digital landscape. Traditionally regarded as custodians knowledge, must adapt to these changing dynamics world while preserving their core principles. This study looks into strategic integration advanced technologies, aiming redefine mission face complex challenges. encompasses convergence diverse including Internet Things (IoT), cloud computing, biotechnology, nanotechnology, quantum all underpinned by currency data. Artificial intelligence (AI) focal point, promising enhancements user experiences operational efficiency, however, it also raises ethical privacy concerns that challenge fundamental library research employs an interpretive content/document analysis approach examine roles libraries, considering pivotal function bridging divide, providing equitable access technology resources, advancing innovation, fostering community engagement. underscores imperative address challenges related data privacy, inclusion, resource allocation, intellectual property, sustainability. However, despite challenges, are poised remain indispensable pillars education, research, interaction. To do so, they embrace strategically expand influence within knowledge systems.
Язык: Английский
Процитировано
7
Worldwide Hospitality and Tourism Themes, Год журнала: 2025, Номер 17(1), С. 1 - 5
Опубликована: Март 12, 2025
Язык: Английский
Процитировано
0
IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 69 - 84
Опубликована: Март 28, 2025
In recent years, artificial intelligence (AI) and machine learning (ML) have become a crucial part of various industries, including travel. As travelers increasingly sophisticated in their needs demands, travel companies must keep up with the ever-changing market. By integrating AI ML into operations, can gather analyze vast amounts data to better understand customers improve overall experience. Travel health management is complex due global mobility, emerging diseases, need for personalized solutions anywhere, anyplace, anytime (3As). This chapter will explore how technologies are revolutionizing healthcare 21st Century. The deal predictive analytics, recommendations, real-time monitoring, ethical concerns, next decade's challenges innovative using ML.
Язык: Английский
Процитировано
0
AI & Society, Год журнала: 2025, Номер unknown
Опубликована: Фев. 8, 2025
Язык: Английский
Процитировано
0
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
Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 235 - 256
Опубликована: Авг. 14, 2024
The tourism sector is currently experiencing a significant paradigm shift as result of the integration artificial intelligence and social media. Social media platforms influence traveler decisions preferences through user-generated content peer evaluations. AI technology like chatbots, automated customer service, personalized suggestions are improving travel efficiency customisation. This chapter analyses current patterns to investigate AI's symbiosis. It also shows how these two technologies can work together make more enjoyable, personalized, smooth. addresses issues that arise while applying remarkable advances. summarizes effects on tourism. predicts future advances offers advice adapting changing digital landscape.
Язык: Английский
Процитировано
1
Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 83 - 112
Опубликована: Окт. 15, 2024
The exponential growth of tourism worldwide has led to significant challenges in managing crowds efficiently and sustainably. In recent years, the integration artificial intelligence (AI) emerged as a promising avenue for addressing these challenges. This chapter provides comprehensive overview AI-driven solutions tailored specifically crowd management settings. first section elucidates dynamics tourism-related crowds, highlighting complexities arising from diverse factors such seasonality, events, cultural significance. Understanding intricacies is crucial devising effective strategies. subsequent delves into role AI management, exploring various techniques machine learning, computer vision, natural language processing. These technologies enable real-time data analysis, predictive modeling, decision support systems, empowering stakeholders anticipate behaviors mitigate potential disruptions
Язык: Английский
Процитировано
1
Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 1 - 30
Опубликована: Окт. 15, 2024
This chapter explores the intersection of artificial intelligence (AI) technologies with personalized and sustainable tourism practices. It examines how AI is revolutionizing travel industry by enabling tailored experiences for tourists while simultaneously promoting environmental conservation cultural preservation. The research investigates various applications, including recommendation systems, chatbots, predictive analytics, smart destination management. Through a comprehensive literature review, case studies, experimental research, this demonstrates potential to enhance tourist satisfaction, optimize resource allocation, mitigate negative impacts mass tourism. findings highlight both opportunities challenges associated implementing in sector, providing insights stakeholders, policymakers, researchers.
Язык: Английский
Процитировано
1
Journal of Hospitality and Tourism Insights, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 12, 2024
Purpose This study illustrates the conceptual framework that expands knowledge of fundamental components describe how AI-driven servant leadership (SEL) influences job resources (JR), work engagement (WE) and performance (JP) tourism hospitality employees. Design/methodology/approach The empirical was conducted on a sample 953 international employees who were selected via purposive snowball sampling approach in cross-sectional survey. analysis performed using partial least square-structural equation modeling. Findings results this confirmed positive impact SEL employee JR with boundary conditions SEL. Practical implications finding assists practitioners understanding near future, AI will have major effect nature work, including styles. Hence, holds both (through direct JR) negative (via conditions) impacts employees’ JP ultimately organizational success. Accordingly, managers should employ to increase JR, once achieve high WE, they constrict their influence between WE JP. Originality/value offers novel original model advances social theory, theory demands-resources (JD-R) by synthesizing, applying generalizing gained methodical way.
Язык: Английский
Процитировано
1