20 research outputs found
Technology and Luxury Hospitality: AI, Blockchain and the Metaverse
No full textThe integration of pioneering information and communication technologies has transformed the hospitality sector. This groundbreaking book delves into the transformative power of cutting-edge technologies in the world of high-end travel and accommodation. As the digital revolution continues to reshape our lives, this book offers an exclusive look at how the hospitality industry is adapting and evolving to cater to the sophisticated tastes of the modern, tech-savvy traveller.
In this eye-opening exploration, readers will be taken on a journey through the latest innovations in artificial intelligence, blockchain, and the metaverse as they intersect with the world of luxury hospitality. From AI-driven concierge services and smart hotel rooms that cater to guests' every whim to the democratization of luxury experiences through blockchain-based loyalty programmes and the rise of virtual reality travel, this book reveals the extraordinary possibilities that lie ahead for the discerning traveller.
With insights from international experts, this edited collection provides a comprehensive and engaging overview of the current and future trends shaping the industry and will be valuable to scholars and postgraduate researchers across the hospitality sector, innovation, and luxury management
Sustainable Agribusiness, Food Security, and Women’s Empowerment: Rural Women at the Heart of the Virtuous Cycle
No full textThis chapter examines the significant role that rural women play in agribusiness and food security, explores how this can lead to women’s empowerment, and lastly, constructs a use case to examine how the linkages and interrelationships among three constructs lead to a virtuous cycle. Anchored on the theory of multifunctional agriculture (MFA), an in-depth literature review is adopted as the methodological approach. Findings reveal that rural women play central roles in agribusiness and food security. They engage in the entire chain of agribusiness from the production stage to processing, marketing, and distribution. In food security, rural women are essential in managing household food production, maintaining vegetable gardens, rearing livestock, and are responsible for household diet and nutrition. Both agribusiness and food security were discovered to contribute to women’s empowerment in various dimensions – economic, social, psychological, and political. Consequently, the chapter develops a virtuous cycle of agribusiness, food security, and women’s empowerment while exposing the interconnectedness and linkages among the three constructs. Governments must provide tailored credit schemes to rural women, involve them in training and green agricultural technologies programs, and design policies that will address gender norms to facilitate land and asset ownership
Enhancing hospitality service quality with artificial intelligence
No full textThe resurgence of the hospitality industry and the increasing use of artificial intelligence in service have resulted in new customer expectations and opportunities to enhance the quality of hospitality services. Accordingly, a clear understanding of these new service quality expectations and how best to design and implement these new technologies for the benefit of hospitality managers and consumers is key. This chapter provides theoretical and practical insights into how artificial intelligence service agents such as chatbots and robots in key hospitality sectors can provide excellent service quality and enhance customer relationships and well-being. The latest examples are illustrated to explore the application of AI within the hospitality industry, outlining the diverse prospects and obstacles that these advanced technologies offer to restaurant owners, hotel operators and other experts in the field
Exploring the Role of Artificial Intelligence for Luxury Hotel Brands: A Case Study in Europe
No full textThe purpose of this chapter is to present the findings of a qualitative case study conducted in Europe that explores the factors affecting artificial intelligence (AI) for luxury hotel brands. Section 1 provides an overview of luxury hotel brands and the importance of AI for them. Section 2 presents a brief literature review of how luxury brands are utilizing AI and the real-world applications of technology in the luxury hotel sector in several European countries. Section 3 discusses the research methodology, since this study will be a qualitative analysis based on a case study of two European luxury hotels. Further, Sections 4 and 5 demonstrate the thematic findings and managerial implications of this study, respectively. The findings of this study provide marketers and policymakers with some key understandings of different business strategies to be used in promoting luxury hotels using AI.No Full Tex
Secure data sharing and collaboration in healthcare analytics
No full textThe rapid development of big data in infrastructure and methodology has been reshaping the healthcare ecosystem. Massive healthcare data are generated from various resources, stored in databases or electronic health records, and shared among different stakeholders in research collaboration. The sharing of digitalized data is often convenient and lower-cost. However, security problems emerge as an important concern in healthcare analytics, including the loss of data authenticity, privacy disclosure, and compromising of informed consent. Many methods and algorithms have been proposed to improve the security of data sharing, whereas broadly accepted guidelines are still on the way. This chapter starts with a brief introduction to the concept of big data and modern healthcare applications to highlight the essentials of safe data sharing. The possible loopholes and potential threats are analyzed in detail to disclose the open challenges. The existing measures, algorithms, and relative policy are summarized to provide a panoramic view of the state of the art. Finally, the current trends and future directions are analyzed. This chapter provides a comprehensive overview for researchers and a reference for clinical practitioners and policymakers.</p
Fostering Women's Empowerment in Europe: Case Studies of Innovation in AI, Blockchain, and the Metaverse
No full textThis chapter explores the transformative impact of artificial intelligence (AI), blockchain, and metaverse technologies within the European context, highlighting the pioneering role of women driving innovation in these fields. Through inspiring case studies, it showcases European companies where women are leveraging these cutting-edge technologies to create positive change across diverse industries.
The chapter delves into the remarkable contributions of European women in AI research and applications, blockchain implementation, and metaverse development. It underscores the significance of gender diversity in these domains and advocates for empowering women to lead the way in shaping a more inclusive and pioneering technological future.
AI is revolutionizing industries in Europe, from healthcare to finance, by increasing efficiency, improving decision-making, and fueling groundbreaking research. Blockchain disrupts traditional sectors, promoting transparency and trust through decentralized solutions in finance, supply chain management, and digital identity. The metaverse, an immersive virtual environment, redefines human interaction and collaboration, with European innovators exploring its potential in entertainment, education, and virtual commerce.
The chapter explores how AI, blockchain, and the metaverse contribute to women’s empowerment in Europe, creating new opportunities, breaking barriers, and promoting inclusivity. It highlights initiatives enabling access to education, bridging the gender pay gap, encouraging entrepreneurship, enhancing workplace diversity, improving healthcare access, combating gender-based violence, enabling work-life balance, and supporting women in STEM fields.
Overall, this chapter underscores Europe’s commitment to responsible development of emerging technologies while preserving values of diversity and inclusion, setting the stage for a transformative digital future driven by the remarkable contributions of women in AI, blockchain, and the metaverse.No Full Tex
Intelligent Biosensors for Healthcare 5.0
Get PDFIncreasing demands for smart health management driven by aging population and chronic diseases are transforming traditional healthcare delivery into intelligent and personalized ones. However, some critical issues still exist in the development of intelligent biosensors towards the new era of healthcare 5.0, such as the design and fabrication of highly integrated biosensing devices, the exploitation of artificial intelligence (AI) and internet of things (IoT), the complete realization of smart disease control and health management, etc. Recent advances have explored the feasibility of miniaturized and portable biosensing device for household diagnostics, whereas the integration of IoT and AI is an unmet challenge. Hence, this chapter summarizes promising on-going efforts with emphasis on two domains: electrochemistry and spectroscopy. State-of-the-art intelligent biosensors are presented and insights in prospective exploration directions are discussed in the context of Healthcare 5.0
Transforming Workplace Wellness in the Next-Generation Hospitality Industry by Leveraging Transformational Digital Technologies and Tools
No full textTechnology has revolutionized the modern workplace, enabling remote work, streamlined communication, and collaboration. However, this disruption in the hospitality industry has also led to challenges in employees’ professional and personal lives. To manage this, organizations are embracing technological innovations to enhance employee wellness programs. This chapter explores how cutting-edge technologies like AI-powered chatbots, virtual assistants, wearable devices, gamification, virtual/augmented reality, and digital peer support networks are transforming employee assistance and well-being initiatives. It provides insights into technology-driven wellness solutions implemented by leading hospitality companies such as Marriott, Hyatt, Accor, and Royal Caribbean. The chapter highlights how these interventions have empowered employees through real-time support, stress management, meditation, ergonomics, fitness tracking, and fostering a positive work culture. By leveraging technology to prioritize employee well-being, the hospitality sector can drive higher productivity, exceptional guest experiences, and create a future-ready workforce. The chapter offers guidance, best practices, recommendations, and cautions for integrating transformative technologies into robust employee wellness programs within the hospitality domain. The chapter speaks about VR-guided mediation sessions and other stress-relieving activities, AR for ergonomics and safety, and digital platforms for peer support networks, which are all being used by the next-generation hospitality industry to create a positive work culture and enhanced employee satisfaction for higher productivity and exceptional guest experience. As hotel operators emphasize the fitness facilities for guests, so have they understood and focused on offering pathways for their employees’ wellness. Some examples are TakeCare staff wellness programmes by Marriott International, Hyatt’s Colleague Wellbeing Council, Lifeworks Total Wellbeing app by Accor, and Royal Caribbean’s Wellness Works programme.No Full Tex
Recent Applications of Convolutional Neural Networks in Medical Data Analysis
Get PDFCutting-edge artificial intelligence techniques especially deep learning algorithms have shown great potentials in data-driven diagnostics. Convolutional neural networks (CNNs) have been widely applied in image analysis, pattern recognition, and anomaly detection. CNNs can automatically learn features from images, avoiding human bias and improving the efficiency. The multi-layer deep network structure enables CNN to extract features at different abstraction levels in images, enhancing semantic information in images and improving its performance in various tasks such as classification, segmentation, and detection. CNN exhibits great potentials in the diagnosis, prognosis and classification of various diseases. Whereas, there are some unmet challenges in data quality and quantity, data security and privacy, model interpretability, and ethical considerations. This chapter summarizes the advantages and challenges of the state of the art, and future directions under the context of healthcare 5.0, providing a reference for clinical researchers, data scientists, and biomedical engineers
Application of Agricultural Drones and IoT to Understand Food Supply Chain During Post COVID‐19
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