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This text provides a comprehensive review of the contribution of network analysis to the understanding of tourism destinations and organisations. It discusses both the theoretical and methodological underpinnings of network analysis and then illustrates the relevance of this approach in a series of tourism applications.
Tourists frequently rely on social networks to provide information about a product or destination as a decision support tool to make adequate decisions in the process of planning a trip. In this digital environment, tourists share their travel experiences, impressions, emotions, special moments, and opinions about an assortment of tourist services like hotels, restaurants, airlines, and car rental services, all of which contribute to the online reputation of a tourist destination. The Handbook of Research on Social Media Applications for the Tourism and Hospitality Sector is a fundamental reference source that provides vital theoretical frameworks and the latest innovative empirical research findings of online social media in the tourism industry. While highlighting topics such as e-business, mobile marketing, and smart tourism, this publication explores user-generated content and the methods of mobile strategies. This book is ideally designed for tour developers, travel agents, restaurateurs, hotel management, tour directors, entrepreneurs, social media analysts, managers, industry professionals, academicians, researchers, and students.
The receipt of knowledge is a key ingredient by which the tourism sector can adjust and adapt to its dynamic environment. However although its importance has long been recognised the fragmentation within the sector, largely as a result of it being comprised of small and medium sized businesses, makes understanding knowledge management challenging. This book applies knowledge management and social network theories to the business of tourism to shed light on successful operations of tourism knowledge networks. It contributes specifically to understanding a network perspective of the tourism sector, the information needs of tourism businesses, social network dynamics of tourism business operation, knowledge flows within the tourism sector and the transformation of the tourism sector through knowledge networks. Social Network Analysis is applied to fully explore the growth and maintenance of tourism knowledge networks and the relationships between tourism sector stakeholders in relation to their knowledge requirements. Knowledge Networks and Tourism will be valuable reading for all those interested in successful operations of tourism knowledge networks.
The recent surfacing of actor-network theory (ANT) in tourism studies correlates to a rising interest in understanding tourism as emergent thorough relational practice connecting cultures, natures and technologies in multifarious ways. Despite the widespread application of ANT across the social sciences, no book has dealt with the practical and theoretical implications of using ANT in Tourism research. This is the first book to critically engage with the use of ANT in tourism studies. By doing so, it challenges approaches that have dominated the literature for the last twenty years and casts new light on issues of materiality, ordering and networks in tourism. The book describes the approach, its possibilities and limitations as an ontology and research methodology, and advances its use and research in the field of tourism. The first three chapters of the book introduce ANT and its key conceptual premises, the book itself and the relation between ANT and tourism studies. Using illustrative cases and examples, the subsequent chapters deal with specific subject areas like materiality, risk, mobilities and ordering and show how ANT contributes to tourism studies. This part presents examples and cases which illustrate the use of the approach in a critical way. Inherently, the study of tourism is a multi-disciplinary field of research and that is reflected in the diverse academic backgrounds of the contributing authors to provide a broad post-disciplinary context of ANT in tourism studies. This unique book, focusing on emerging approaches in tourism research, will be of value to students, researchers and academics in tourism as well as the wider Social Sciences.
Travel is widely acknowledged as an activity that increases individuals' levels of well-being. Nevertheless, the relationship between happiness and tourism is still a matter of investigation. Despite the overall beneficial effects of travel on happiness levels, tourism is not an activity with solely positive implications on peoples' lives. Therefore, it is crucial to understand how happiness manifests through tourism and how it can be expanded to different tourism actors, such as tourists, workers, and communities. The search for ways and methods to enhance the levels of happiness and well-being has grown significantly in recent years. Happiness and quality of life are timely issues and have become even more relevant due to the significant impacts of the COVID-19 pandemic. Rebuilding and Restructuring the Tourism Industry: Infusion of Happiness and Quality of Life is a critical references source that examines the fundamental relationship between tourism, happiness, and quality of life. This book discusses relevant theoretical frameworks and the latest findings from empirical research in happiness, well-being, and quality-of-life-related tourism. Focusing on topics such as neurotourism, PERMA theory, the economics of happiness, tourism employment opportunity, and overtourism, this book will intrigue scholars working in hospitality, tourism, destination management, economics, marketing, sociology, anthropology, and health sciences as well as managers, travel agencies, restaurateurs, hotel managers, and professionals who want to improve their understanding of the relationship between tourism and happiness, providing them with tools to develop better and sustainable practices for the sector.
As competition is increasingly taking place on a global scale, tourist destinations must act more like businesses than they have in the past. Development in the tourism sector has often been beset by ambiguities and contradictions and has been the subject of debate across a range of disciplines in terms of its sustainability and level of social commitment. New Governance and Management in Touristic Destinations analyzes the most proper governance model to be implemented to increase the competitiveness of tourist destinations. It also focuses on the need to develop a managerial orientation capable of making the tourism system interact with tourism demand. Covering topics such as electronic word of mouth, gastronomic tourism, and sustainable development, this book is essential for practicing hospitality and tourism managers, professionals in the hospitality and tourism industry, specialists and consultants, government officials, researchers, educators, academicians, and students.
This book aims to provide a comprehensive review of the contribution of network analysis to the understanding of tourism destinations and organizations. Theoretical and methodological aspects are discussed along with a series of applications. While this is a relatively new approach in the tourism literature, in other social and natural sciences network analysis has a long tradition and has provided important insights for the knowledge of the structure and the dynamics of many complex systems. The study of network structures, both from a quantitative and qualitative point of view, can deliver a number of useful outcomes also for the analysis of tourism destinations and organizations.
This book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism. It also provides a consolidated framework and roadmap summarising the major issues that both researchers and practitioners have to address for effective big data innovation. The book proposes a process-based model to identify and implement big data innovation strategies in tourism. This process framework consists of four major parts: 1) inputs required for big data innovation; 2) processes required to implement big data innovation; 3) outcomes of big data innovation; and 4) contextual factors influencing big data exploitation and advances in big data exploitation for business innovation.
This book focuses on the role of networking, cooperation and partnership in destination management in response to the changing environment of the tourism industry. Firms and institutions are nowadays required to implement drastic management changes: they must adopt a systemic approach and become actively involved in formal and informal networks in order to increase efficiency and product quality, to gain a sustainable edge and face the competitive context. The work is dedicated to deepening the topics of the "Networking and Tourism Local System" session of the 12th ATLAS 2004 Annual Conference, "Networking & Partnership in Destination Development & Management", held in Naples. From a theoretical point of view, the papers included herein relate to two macro reference areas: applied economics and managerial sciences. The analysis range from national to local levels and focus on strategies, policies, and project experiences. Several cases from different areas (Finland, France, Ireland, Italy, Malaysia, Portugal, Spain, Sweden) are examined and provide features and issues that can be applied beyond the cultural and economic contexts.
Intends to advance knowledge and sense-making skills in interpreting cultural, organizational, and personal influences relating to tourism and hospitality behaviors. This title looks at how explicit tourism assessments are being conducted and how to go about accomplishing prescribing and applying advanced assessment metrics.