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Abstract

A model was developed that explains international tourist flows from 9 countries (Australia, France, Germany, Japan, Malaysia, Singapore, Taiwan, the UK, and the USA) to Thailand to forecast tourism demand from that market. Multiple regression analysis was applied over time series data from...

Author(s)
Hao, J.; Var, T.; Chon, J.
Publisher
Cognizant Communication Corporation, Elmsford, USA
Citation
Tourism Analysis, 2003, 8, 1, pp 33-45
Abstract

The article reports on an investigation of the effects of some tourism price components on tourism demand, specifically, on potential tourists' choice of destination, using a multinomial logit model analysis of stated choice frequencies. The study serves to highlight the practical use of the...

Author(s)
Morley, C. L.
Citation
Journal of Travel Research, 1995, 33, 2, pp 8-14
Abstract

Various exponential smoothing models are estimated over the period 1975-99 to forecast quarterly tourist arrivals to Australia from Hong Kong, Malaysia, and Singapore. The root mean squared error criterion is used as a measure of forecast accuracy. Prior to obtaining the one-quarter-ahead forecasts ...

Author(s)
Lim, C.; McAleer, M.
Publisher
Pergamon Press, Oxford, UK
Citation
Annals of Tourism Research, 2001, 28, 4, pp 965-977
Abstract

Purpose: This study aims to investigate tourists' propensity to use travel review websites (TRWs) during the pre- and post-travel stages from a cultural perspective. Design/methodology/approach: This quantitative study is guided by the positivist paradigm. Data were obtained from an online survey,...

Author(s)
Cassidy, L.; Pabel, A.
Publisher
Emerald Publishing, Bingley, UK
Citation
Journal of Hospitality and Tourism Technology, 2019, 10, 3, pp 342-353
Abstract

This study investigates the use of variety-seeking in the segmentation of international travelers. Segmentation studies mainly utilize traditional segmentation criteria, such as nationality, country of origin, other trip characteristics of international travelers, and consumer behaviors....

Author(s)
Legohérel, P.; Hsu, C. H. C.; Daucé, B.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Tourism Management, 2015, 46, pp 359-366

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