Planning, both “operational” and“strategic”, relies on accurate forecasting. Planning in tourism is no less dependent on accurate forecasts. However, tourism demand forecasting has been dominated by the application of regression/econometric techniques. Past studies on the forecasting accuracy of econometric/regression models suggest that forecasts generated by these models are not necessarily superior to forecasts generated by simple time series techniques. Seven time series forecasting techniques were used to generate forecasts of international tourist arrivals from Thailand to Hong Kong. The results confirm that simple techniques may be just as accurate and often more time‐and cost‐effective than more complex ones. Practitioners in the tourism industry may confidently use any of the forecasting techniques demonstrated here for their short‐term planning activities.
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1 April 1992
Research Article|
April 01 1992
Time Series Forecasting Techniques: Short‐term Planning in Tourism Available to Purchase
Publisher: Emerald Publishing
Online ISSN: 1757-1049
Print ISSN: 0959-6119
© MCB UP Limited
1992
International Journal of Contemporary Hospitality Management (1992) 4 (4)
Citation
Athiyaman A, Robertson R (1992), "Time Series Forecasting Techniques: Short‐term Planning in Tourism". International Journal of Contemporary Hospitality Management, Vol. 4 No. 4 pp. No Pagination Specified, doi: https://doi.org/10.1108/09596119210018864
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