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• The aim of this Special Issue is to examine the current major topics concerning the use of social media and big data in sustainable tourism practices and to encourage interdisciplinary discussion among researchers regarding these issues. • This Special Issue covers all relevant areas of the debate, including 15 selected papers based on the following core ideas: smart tourism and big data, social media in the tourism industry, and online reviews and tourist behaviors. • This Special Issue discusses wide-ranging topics and research questions with regard to the smart tourism city, the impact of social media, online reviews, and tourist behaviors, and it represents a call to action for scholars to engage with broader social issues.
• The aim of this Special Issue is to examine the current major topics concerning the use of social media and big data in sustainable tourism practices and to encourage interdisciplinary discussion among researchers regarding these issues. • This Special Issue covers all relevant areas of the debate, including 15 selected papers based on the following core ideas: smart tourism and big data, social media in the tourism industry, and online reviews and tourist behaviors. • This Special Issue discusses wide-ranging topics and research questions with regard to the smart tourism city, the impact of social media, online reviews, and tourist behaviors, and it represents a call to action for scholars to engage with broader social issues.
This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism. Sustainability, Big Data, and Corporate Social Responsibility: Evidence from the Tourism Industry offers a theoretical and empirical framework in the field of digital transformation and applies it to the tourism sector. It discusses Big Data used with CSR and sustainability for the improvement of innovation and highlights the challenges and prospects. It presents a modern insight and approach for use by decision-makers as an application to solve various problems and explores how data collection can shed light on consumer behavior making it possible to account for existing situations and plan for the future. This book is intended to provide a modern insight for researcher, students, professionals, and decision-makers on the application of Big Data to improve CSR and sustainability in the tourism sector.
In this book, we introduce the themes and approaches covered in the issue Sustainable Tourism Marketing. Its objective was to analyze the main contributions made as a result of research related to sustainable tourism–marketing management and current trends in the field. This book gathered articles about the marketing of destinations, and the marketing and communication management of companies and tourism organizations from a sustainable tourism perspective.
In today's dynamic digital marketing landscape, understanding and predicting tourist behavior is a significant challenge for businesses and organizations in the tourism sector. Consumer choices are influenced by various factors, making it essential to use innovative approaches and insights to engage with tourists and enhance their overall experience effectively. Decoding Tourist Behavior in the Digital Era: Insights for Effective Marketing is a comprehensive collection of papers addressing conventional paradigms and exploring contemporary research methodology advancements. This book offers fresh perspectives to help the tourism sector understand and analyze tourist behavior in the digital era. The book examines tourist behavior holistically and provides a roadmap for stakeholders to develop targeted strategies and initiatives. By leveraging insights from the latest research, businesses can tailor their marketing efforts to meet tourists' evolving needs and preferences, ultimately enhancing customer satisfaction and loyalty. Public sector organizations can also use these insights to formulate destination marketing and development plans that resonate with tourists, thereby driving economic growth and sustainable tourism practices.
Bringing together diverse perspectives, including those of destination managers, policymakers, tour operators, local communities, and travellers Sustainable Tourism fosters a collective understanding of sustainability in tourism and inspires a shared commitment towards responsible tourism practices.
Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.
Of interest to both academics and practitioners, Impact of Industry 4.0 on Sustainable Tourism reveals patterns and projections to provide a discourse on the progression of disruptive and futuristic technologies in the field of sustainable tourism research and practice.
In the age of artificial intelligence (AI), hotel and travel management are undergoing transformations to revolutionize guest experiences, make operations efficient, and improve industry standards. AI technologies redefine how hotels and travel companies personalize customer interactions, streamline operations, and optimize revenue management. From tools like chatbots and virtual assistants to predictive analytics, AI enables increased efficiency and customization. As AI continues to evolve, questions must be raised about data privacy, ethical use or algorithms, and the roles of hospitality workers as technology becomes pivotal. Hotel and Travel Management in the AI Era explores the intersection of AI and hotel and travel management, showcasing its potential for innovation and the challenges it presents for workers in the hospitality industry. It posits effective solutions for managing technology integration in an industry where the human aspect of management is pivotal. This book covers topics such as virtual and augmented reality, smart technology, and risk management, and is a useful resource for hospitality and tourism professionals, security workers, computer engineers, business owners, sociologists, researchers, and academicians.
Technological advancements in recent years have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Supply Chain Management in the Big Data Era is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes. Highlighting emerging strategies from different industry perspectives, this book is ideally designed for managers, professionals, practitioners, and students interested in the most recent research on supply chain innovations.