Frechtling | Forecasting Tourism Demand | Buch | 978-0-7506-5170-7 | sack.de

Buch, Englisch, 304 Seiten, Format (B × H): 163 mm x 245 mm, Gewicht: 608 g

Frechtling

Forecasting Tourism Demand

Methods and Strategies

Buch, Englisch, 304 Seiten, Format (B × H): 163 mm x 245 mm, Gewicht: 608 g

ISBN: 978-0-7506-5170-7
Verlag: Taylor & Francis Ltd


'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 resultsIdeal 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.
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Zielgruppe


Postgraduate students and practitioners in the tourism industry.<br>Libraries (faculty, site and departmental within universities and colleges and special libraries within industry)


Autoren/Hrsg.


Weitere Infos & Material


Introduction; Alternative forecasting methods and evaluation; The tourism forecasting process; Basic extrapolative methods and decomposition; Intermediate extrapolative methods; An advanced extrapolative method; Causal models: regression analysis; Causal methods: structural models; Qualitative forecasting methods; Conclusion.


Douglas C. Frechtling


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