Quantitative Methods In Tourism

This book goes beyond the methods usually covered in introductory textbooks on quantitative methods in tourism. It considers key issues in data selection, approaches to factor and cluster analysis and regression before covering advanced topics including structural equation modelling, maximum likelihood estimation, simulation and agent-based modelling. The result is a guide to quantitative methods in tourism that de-mystifies both simple and apparently complex techniques and makes them more accessible to tourism researchers.

Tourism economics is partly based on established principles from the economics discipline, but it also incorporates elements from sociology, psychology, organization theory and ecology. It has over the years turned into an appealing multi-disciplinary oriented approach to the understanding of the impacts of leisure time in a modern society, including cultural heritage, sustainable quality of life, and industrial organization of the hospitality industry. The increasing dynamics in the tourist industry and its worldwide effects will continue to attract the attention of both the research and the policy sector in the years to come. Rather than speculating on non-observed facts, there is a clear need for evidence-based research in order to map out the complex dynamics of the tourist industry. The present volume comprises novel studies – mainly of a quantitative-analytical nature – on the supply, demand and contextual aspects of modern tourism. It contains a sound mix of theory, methodology, policy and case studies on various tourism issues in different parts of the world.​

'This is an excellent book which significantly contributes to tourism research and education. It takes a rigorous yet readable style to address twenty five of the most pertinent quantitative and qualitative techniques applied in tourism research. the book will appeal to a wider readership of social scientists as well as to scholars of tourism as each chapter provides a thorough overview and explanation of the techniques irrespective of their tourism application.' – Dimitrios Buhalis, Bournemouth University, UK This insightful book explores the most important established and emerging qualitative and quantitative research methods in tourism. the authors provide a detailed overview of the nature of the research method, its use in tourism, the advantages and limitations, and future directions for research. Each chapter is structured to provide information on: the nature of the technique and its evolution; background and types of problems that the technique is designed to handle; applications of the technique to tourism, including discussion of studies that have used the technique and their findings; advantages and limitations of the technique conceptually and for policy formulation; and further developments and applications of the technique in tourism research. Handbook of Research Methods in Tourism will appeal to social scientists, students as well as researchers in tourism who use quantitative and qualitative research techniques.

Within the tourism industry there is a growing consensus on the need for research to investigate the economic, social and environmental impacts of tourism. However, existing research methods texts are based solely on either the business approach or the social science approach to tourism. They often fail to provide real world examples of how to plan, implement or analyse tourism related research. This book aims to address this divide by integrating theory with practice through the inclusion of specific tourism research case studies alongside research theory. It considers a wide range of research issues, approaches and techniques with contributions from both experienced and new researchers.

Quantitative Tourism Industry Analysis is the first book to deal with the input-output, social accounting matrix in a way which readers from a non-economics or non-mathematical background can follow, in order to understand how useful their application would be for tourism industry analysis. It acquaints readers with useful applications of economic modelling without the unnecessary burden of higher algebra, so that they will understand concepts of the economics measurement system, Tourism Satellite Accounts (TSA) methodology. Quantitative Tourism Industry Analysis offers a new set of economic tools for tourism policy analysis, ideal for those with a non-mathematical background.

Now in its fifth edition, Research Methods for Leisure and Tourism has become the ultimate reference text for both students enrolled in undergraduate and postgraduate degrees and practising managers. This book combines comprehensive coverage of a wide variety of qualitative and quantitative research methods with step-by step guidance through research software including Excel, SPSS and NVivo. Key features Coverage of both qualitative and quantitative research methods, ensuring a balanced approach to data collection and analysis Practical guidance on conducting research and writing reports, showing the ‘how’ as well as the ‘what’ Detailed coverage of the development of conceptual frameworks for research, research design, analytical methods and the composition of research reports, providing everything required to conduct a research project International case studies and extensive examples from the leisure and tourism literature Questions, exercises and further reading for each chapter Extensive web-based support materials New to this edition The fifth edition has been fully updated throughout and includes additional material on: Management and policy-related research methods EndNote bibliographic referencing software Notes on additional methods including: big data, discourse analysis, multiple correspondence analysis, netnography/web-based research, people meters For the analysis of quantitative data, SPSS is updated to version 23 For qualitative data analysis, the guide to NVivo software is updated to version 11.

The purpose of this book is twofold. First, this book is an attempt to map the state of quantitative research in Asian tourism and hospitality context and provide a detailed description of the design, implementation, application, and challenges of quantitative methods in tourism in Asia. Second, this book aims to contribute to the tourism literature by discussing the past, current and future quantitative data analysis methods. The book offers new insights into well-established research techniques such as regression analysis, but goes beyond first generation data analysis techniques to introduce methods seldom – if ever – used in tourism and hospitality research. In addition to investigating existing and novel research techniques, the book suggests areas for future studies. In order to achieve its objectives the analysis is split into three main sections: understanding the tourism industry in Asia; the current status of quantitative data analysis; and future directions for Asian tourism research.

This volume seeks to expose and illustrate new approaches and thinking in qualitative methods that are being developed and implemented in tourism research. The contributions bring together various qualitative methods and approaches while also providing suggestions for the juxtaposition of qualitative and quantitative methods in mixed methods research. The book has been written with a cross-disciplinary approach which provides an insight into the art of research development from business, sociology and tourism perspectives. The chapters provide readers with a context and practical application examples for each method. They present a distinctive opportunity for social researchers from a range of disciplines, in particular tourism, to examine how to adapt the wide variety of qualitative approaches to their particular research needs.