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Part of the Contemporary Review Series. Contemporary Tourism Reviews will provide you with critical, state-of-the-art surveys of all of the major areas of tourism study to people who are coming to a topic for the first time. Written by leading thinkers and academics in the field they provide flexible, current and topical information as an instant download.
'Forecasting tourism demand' is a text that no tourism professional can afford to be without. The tourism industry has experienced an overwhelming boom over recent years, and being able to predict future trends as accurately as possible is vital in the struggle to stay one step ahead of the competition. Building on the success of 'Practical Tourism Forecasting' this text looks at 13 methods of forecasting and with a user friendly style, 'Forecasting Tourism Demand' guides the reader through each method, highlighting its strengths and weaknesses and explaining how it can be applied to the tourism industry. 'Forecasting Tourism Demand' employs charts and tables to explain how to: * plan a forecasting project * analyse time series and other information * select the appropriate forecasting model * use the model for forecasting and evaluate its results Ideal for marketing managers and strategic planners in business, transportation planners and economic policy makers in government who must project demand for their products among tourists. Executives who rely on forecasts prepared by others will find it invaluable in assisting them to evaluate the validity and reliability of predictions and forecasts. Those engaged in analysing business trends will find it useful in surveying the future of what has been called the largest industry in the world.
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.
This comprehensive textbook has, at its core, the importance of linking strategic thinking with action in the management of tourism. It provides an analytical evaluation of the most important global trends, as well as an analysis of the impact of crucial environmental issues and their implications. Now in its third edition, and reviewing the major factors affecting international tourism management, this well-established student resource provides an essential overview of strategic management for students and professionals in the tourism sector.
A textbook for a graduate or final-year undergraduate course in tourism studies that might also find interest among researchers and practitioners who want to apply recent developments in econometric modeling and forecasting to tourism demand analysis. Song and Witt (both management in the service sector, U. of Surrey, Britain) begin with the fundamentals of tourism demand analysis, and the problems of traditional modeling and forecasting. Then they explore the general- to-specific approach, the time-varying parameter model, and the panel- data approach. Annotation copyrighted by Book News, Inc., Portland, OR
Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. Neural Networks in Business Forecasting provides researchers and practitioners with some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.
'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.
'Forecasting tourism demand' is a text that no tourism professional can afford to be without. The tourism industry has experienced an overwhelming boom over recent years, and being able to predict future trends as accurately as possible is vital in the struggle to stay one step ahead of the competition. Building on the success of 'Practical Tourism Forecasting' this text looks at 13 methods of forecasting and with a user friendly style, 'Forecasting Tourism Demand' guides the reader through each method, highlighting its strengths and weaknesses and explaining how it can be applied to the tourism industry. 'Forecasting Tourism Demand' employs charts and tables to explain how to: * plan a forecasting project * analyse time series and other information * select the appropriate forecasting model * use the model for forecasting and evaluate its results Ideal for marketing managers and strategic planners in business, transportation planners and economic policy makers in government who must project demand for their products among tourists. Executives who rely on forecasts prepared by others will find it invaluable in assisting them to evaluate the validity and reliability of predictions and forecasts. Those engaged in analysing business trends will find it useful in surveying the future of what has been called the largest industry in the world.
Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
Since the publication of the first edition of this seminal textbook, the tourism economics landscape has undergone many changes. In this concise revised edition, the authors have incorporated new approaches and ideas influencing tourism economics and policy. This includes discussions of the implications of the sharing economy and its effect on industry structure in accommodation and transport, and Artificial Intelligence (AI) techniques that are being increasingly employed in tourism forecasting. It also includes new material on surface and marine transport, resident quality of life issues, the price mechanism, the economic contribution of tourism, tourism and economic growth, and tourism and sustainable development. It remains an important and accessible text for students, researchers and practitioners in tourism economics and tourism policy.