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.

In this revised second edition, Baggio and Klobas build upon the work of their previous volume, offering a presentation of quantitative research methods for tourism researchers. This accessible and rigorous guide goes beyond the approaches usually covered in introductory textbooks on quantitative methods to consider useful techniques for statistical inquiry into tourism matters of all but the most econometrically complex kind. The first part of the book concerns common issues in statistical analysis of data and the most widely-used techniques, while the second part describes and discusses several newer and less common approaches to data analysis that are valuable for tourism researchers and analysts. Updates to the second edition include: * a new chapter on "Big Data" * consideration of data screening and cleaning * the use of similarity and diversity indexes for comparing samples * observations about the partial least squares (PLS) approach to path modelling * a new section on multi-group structural equation modelling * a new section on common method variance and its treatment * revised and updated section on software * fully updated references and examples

In this revised second edition, Baggio and Klobas build upon the work of their previous volume, offering a presentation of quantitative research methods for tourism researchers. This accessible and rigorous guide goes beyond the approaches usually covered in introductory textbooks on quantitative methods to consider useful techniques for statistical inquiry into tourism matters of all but the most econometrically complex kind. The first part of the book concerns common issues in statistical analysis of data and the most widely-used techniques, while the second part describes and discusses several newer and less common approaches to data analysis that are valuable for tourism researchers and analysts. Updates to the second edition include: • a new chapter on “Big Data�  • consideration of data screening and cleaning • the use of similarity and diversity indexes for comparing samples • observations about the partial least squares (PLS) approach to path modelling • a new section on multi-group structural equation modelling • a new section on common method variance and its treatment • revised and updated section on software • fully updated references and examples

Managing Tourism in a Changing World provides an overview of state-of-the-art research surrounding today's tourism management. Recognising the relevance of tourism activities as major economic drivers, this book offers a significant contribution to the advancement of managerial practice in the tourism field. It is the outcome of the collective intellectual efforts of a number of scholars, with dissimilar geographical roots and backgrounds, who cultivate original research on tourism management from a variety of perspectives (economic, managerial) and using multiple methods (theory building, experimental and inductive case-based inquiries). While drawing on multiple theoretical perspectives and adopting different epistemological paradigms and methodologies, this book answers a wide range of research questions related to a number of relevant themes in the following fields: destination management, marketing and branding, inter-organizational dynamics and corporate social responsibility in the tourism sector. This book was originally published as a special issue of Anatolia.

This book aims to shed light on the use of various modelling tools and simulation techniques in the domains of tourism and hospitality. It offers an essential introduction to the most popular methods used for modelling and simulating systems and phenomena of interest, and an overview of these techniques and methods. The main concept of each technique and method is examined and case studies and links to free online tutorials and other helpful resources are provided. The volume aims to encourage students, researchers and practitioners in tourism and hospitality to enhance and enrich their toolbox in order to achieve a better and more profound knowledge of their field.

This book aims to shed light on the use of various modelling tools and simulation techniques in the domains of tourism and hospitality. It offers an essential introduction to the most popular methods used for modelling and simulating systems and phenomena of interest, and an overview of these techniques and methods. The main concept of each technique and method is examined and case studies and links to free online tutorials and other helpful resources are provided. The volume aims to encourage students, researchers and practitioners in tourism and hospitality to enhance and enrich their toolbox in order to achieve a better and more profound knowledge of their field.

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.