This book introduces a new approach to the analysis and management of growth in small tourism markets for regional and rural locations. It recognizes from the outset that the vast bulk of the tourism industry’s product is delivered by small business enterprises and that many of these are located outside of metropolitan areas. Its central premise is that a myriad of small-scale clusters can provide an effective means to establish a local competitive advantage in tourism activities based on the resources of existing communities. The book brings together contemporary views of the potential of clustering theory to promote development in micro-markets, within the paradigm of competition, to create a new framework for regional development that might serve to enhance the growth of small-scale tourism destinations. Microclusters and Networks provides a theoretical explanation of how and why micro-clusters come about, with chapters by specialist authors to illustrate examples of their practice in the real world; but it goes further to demonstrate not only why they work but also how community members interact to form successful clusters. The incorporation of networking theory provides the means to explain the role of local community interaction in delivering successful social outcomes. The analysis that is provided clearly has applications for many industries beyond the development of rural and regional tourism destinations.

This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss and overview the advanced techniques, methods and tools that are dedicated to manage, exploit and interpret data streams in non-stationary environments. The book includes the required notions, definitions, and background to understand the problem of learning from data streams in non-stationary environments and synthesizes the state-of-the-art in the domain, discussing advanced aspects and concepts and presenting open problems and future challenges in this field. Provides multiple examples to facilitate the understanding data streams in non-stationary environments; Presents several application cases to show how the methods solve different real world problems; Discusses the links between methods to help stimulate new research and application directions.

Both visitor attractions and events play pivotal roles in the appeal of tourism destination regions to visitors by virtue of being the main motivator of tourist trips and determining consumers’ choices. However, more recently visitor attractions have become more multifaceted, have proliferated and fragmented in terms of form, location, scale and style, and their role is undergoing major changes in a post-modern world as a result of consumer demands and competitive innovations. Visitor Attractions and Events for the first time theoretically and empirically explores the relations between events and attractions to offer new thinking of the role of space and place in shaping development, management practices and strategies in the sector as well as future implications. The book reveals how location is pivotal in the development, planning, and management of visitor attractions and events. Whereas the location of natural attractions is relatively fixed in space and their locations cannot be predetermined or relocated, human-made or contrived attractions are more influenced by the planning process in the context of the locational decision-making process. Competition and cooperation between visitor attractions and the aspects which shape these relations, including complementarities, compatibility, knowledge spill overs and diffusion of innovations, product similarities and spatial proximity remain largely ignored in the visitor attraction sector and thus are major elements in the focus of this book. Comparative examples ranging from small to major attractions in a wide variety of locations are included. This significant volume will appeal widely to all those interested in the visitor sector, such as tourism, events, leisure studies, destination management and sociology.

The book provides a holistic approach to wine destination management and marketing by bringing together wine tourism research with research in wine and destination management. Chapters are contributed by numerous international authors offering an international and multidisciplinary perspective. The book combines fresh research approaches with international industry examples and case studies in the following key topics: understanding demand of wine destinations; New approaches and practices of wine destination marketing; innovation and design of wine destination experiences and wine routes; planning and development of wine destinations. The book analyses wine destination management and marketing issues from the perspectives of the various stakeholders of wine destinations (e.g. tourists, cellar doors, wine tourism firms, destination managers, wine associations and networks). The book is equally valuable to researchers and industry professionals alike.

Advances in Service Network Analysis examines advances in the management and analysis of networks of organizations in service industries. In recent years recognition of the significance of inter-organizational networks for the provision of complex services, for example at tourist destinations, has stimulated discussion of numerous issues of theoretical and practical significance. These topics include governance, collaboration and partnerships between organizations of varying scale, sophistication and expertise, concern about leadership and trust in the management of service networks, and their overall contribution to social capital development in regions, sectors and in emergent economies. This book was originally published as a special issue of The Service Industries Journal.

This two-volume set LNCS 12194 and 12195 constitutes the refereed proceedings of the 12th International Conference on Social Computing and Social Media, SCSM 2020, held as part of the 22nd International Conference, HCI International 2020, which was planned to be held in Copenhagen, Denmark, in July 2020. The conference was held virtually due to the COVID-19 pandemic. The total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings from a total of 6326 submissions. SCSM 2020 includes a total of 93 papers which are organized in topical sections named: Design Issues in Social Computing, Ethics and Misinformation in Social Media, User Behavior and Social Network Analysis, Participation and Collaboration in Online Communities, Social Computing and User Experience, Social Media Marketing and Consumer Experience, Social Computing for Well-Being, Learning, and Entertainment.

[Administration (référence électronique] ; informatique].

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 role of governance has only recently begun to be researched and discussed in order to better understand tourism policy making and planning, and tourism development. Governance encompasses the many ways in which societies and industries are governed, given permission or assistance, or steered by government and numerous other actors, including the private sector, NGOs and communities. This book explains and evaluates critical perspectives on the governance of tourism, examining these in the context of tourism and sustainable development. Governance processes fundamentally affect whether – and how – progress is made toward securing the economic, socio-cultural and environmental goals of sustainable development. The critical perspectives on tourism governance, examined here, challenge and re-conceptualise established ideas in tourism policy and planning, as well as engage with theoretical frameworks from other social science fields. The contributors assess theoretical frameworks that help explain the governance of tourism and sustainability. They also explore tourism governance at national, regional and local scales, and the relations between them. They assess issues of power and politics in policy making and planning, and they consider changing governance relationships over time and the associated potential for social learning. The collection brings insights from leading researchers, and examines important new theoretical frameworks for tourism research. This book was originally published as a special issue of Journal of Sustainable Tourism.

ICT technologies have contributed to the advances in wireless systems, which provide seamless connectivity for worldwide communication. The growth of interconnected devices and the need to store, manage, and process the data from them has led to increased research on the intersection of the internet of things and cloud computing. The Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization is a pivotal reference source that provides the latest research findings and solutions for the design and augmentation of wireless systems and cloud computing. The content within this publication examines data mining, machine learning, and software engineering, and is designed for IT specialists, software engineers, researchers, academicians, industry professionals, and students.