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Forecasting tourism demand[electronic resource] :methods and strategies /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	338.4791
書名/作者:	Forecasting tourism demand : methods and strategies // Douglas C. Frechtling.
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.
ISBN:	9780750651707
ISBN:	0750651709
書目註:	Includes bibliographical references (p. [267]-274) and index.
內容註:	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.
摘要、提要註:	'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.
電子資源:	An electronic book accessible through the World Wide Web; click for information
電子資源:	http://www.loc.gov/catdir/description/els031/2001277594.html
電子資源:	http://www.loc.gov/catdir/toc/els031/2001277594.html

Forecasting tourism demand[electronic resource] :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:

404635
Tourism
--Forecasting.Index Terms--Genre/Form:

336502
Electronic books.

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

Dewey Class. No.: 338.4791

Forecasting tourism demand[electronic resource] :methods and strategies /
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