Rodolfo Baggio is Professor of the Master of Economics and Tourism at Bocconi University, Italy. His research interests focus on information technology and tourism and his current work combines complexity theory and network analysis methods to the study of tourism destinations.Jane Klobas is an Education and Research Consultant, based in Australia and Italy. She is an Adjunct Professor at Murdoch University, Australia and a Visiting Professor at the University of Bergamo, Italy and other universities in Europe and Asia. Her interests include research development, adult learning, knowledge and information management and applications of the theory of planned behaviour.

• ForewordIntroduction to the Second EditionIntroductionPart I – The Analysis of DataIntroduction to Part IChapter 1 – The Nature of Data in TourismChapter 2 - Testing Hypotheses and Comparing SamplesChapter 3 – Data ReductionChapter 4 - Model BuildingChapter 5 - Time Dependent Phenomena and ForecastingPart II - Numerical MethodsIntroduction to Part IIChapter 6 - Maximum Likelihood EstimationChapter 7 – Monte Carlo MethodsChapter 8 – Big DataChapter 9 - Simulations and Agent-Based ModellingAppendix: Software Programs

New material in the second edition of this handbook includes a chapter on big data and updated coverage of agent-based modelling. Illustrated throughout with a variety of well-chosen examples pertaining to a wide range of tourism topics, this is an essential addition to the book shelves of all tourism graduate students and researchers.