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Forecasting tourism demand = methods and strategies /

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Forecasting tourism demand/ Douglas C. Frechtling.
其他題名:	methods and strategies /
作者:	Frechtling, Douglas C.
出版者:	Oxford ;Butterworth-Heinemann, : 2001.,
面頁冊數:	xx, 279 p. :ill. ; : 24 cm.;
附註:	Revised and updated version of: Practical tourism forecasting.
標題:	Tourism - Forecasting. -
電子資源:	An electronic book accessible through the World Wide Web; click for information
ISBN:	9780750651707

Forecasting tourism demand = methods and strategies /
Frechtling, Douglas C.

Forecasting tourism demandmethods and strategies /[electronic resource] :Douglas C. Frechtling. - Oxford ;Butterworth-Heinemann,2001. - xx, 279 p. :ill. ;24 cm.

Revised and updated version of: Practical tourism forecasting.

Includes bibliographical references (p. [267]-274) and index.

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.

'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. User-friendly guide to 13 methods of forecasting and selecting the one for you Examples from lodging, destination, airline and international tourism sectors Over 40 case studies illustrating the application of techniques described in the book.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2009.

Mode of access: World Wide Web.

ISBN: 9780750651707

Source: 93727:93726Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

291625
Tourism
--Forecasting.Index Terms--Genre/Form:

96803
Electronic books.

LC Class. No.: G155.A1 / F744 2001

Dewey Class. No.: 338.4791

Forecasting tourism demand = methods and strategies /
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520 $a '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. User-friendly guide to 13 methods of forecasting and selecting the one for you Examples from lodging, destination, airline and international tourism sectors Over 40 case studies illustrating the application of techniques described in the book.
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