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| Chaitip, Prasert; Chaiboonsri, Chukiat; Kovacs, Sandor; Balogh, Peter. |
| Structural equation model (LISREL 8) was applied to test the causal relationships between tourist travel motivations and tourist destination. A survey containing Likert scale questions was conducted to collect data from 100 tourists who had travelled to Greece’s tourist destination. With the help of factor analysis, four dimensions were identified for scales used in the study: travel cost satisfaction, tourism product, tourism product attributes, and tourism product management. Results indicated that the travel cost satisfaction of tourists has a positive influence on tourism product, tourism product attributes and tourism product management. Moreover, our results suggested that the tourist demographics has a positive influence on tourism product and... |
| Tipo: Journal Article |
Palavras-chave: Greece; Tourism demand; Greece’s tourist destination; SEM model; Community/Rural/Urban Development; Research Methods/ Statistical Methods. |
| Ano: 2010 |
URL: http://purl.umn.edu/91116 |
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| Sriboonchitta, Songsak; Chaitip, Prasert; Balogh, Peter; Kovacs, Sandor; Chaiboonsri, Chukiat. |
| In our research we examine the behaviour of both Thailand’s and India’s international tourism market by using long-memory analysis. The international tourism market of Thailand combined with seven groups such as East Asia, Europe, The Americas, South Asia, Oceania, Middle East and Africa. Similarly, the international tourism market of India combined with nine countries: USA, UK, Canada, Germany, France, Japan, Malaysia, Australia and Sri Lanka. Moreover, three statistical tests for long-memory process such as R/S test, Modified R/S test and GPH-test are employed to study these markets. The empirical findings in general provide more support for long memory process in international tourism market of Thailand and evidence for short-term dependence in... |
| Tipo: Journal Article |
Palavras-chave: Thailand; India; Long-memory process; Tourism Market; Marketing. |
| Ano: 2011 |
URL: http://purl.umn.edu/104679 |
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| Balogh, Peter; Kovacs, Sandor; Chaiboonsri, Chukiat; Chaitip, Prasert. |
| Forecasting is an essential analytical tool in tourism policy and planning. This paper focuses on forecasting methods based on X-12-ARIMA seasonal adjustment and this method was developed by the Census Bureau in the United States. It has been continually improved since the 1960s, and it is used by many statistics agencies and central banks. The secondary data were used to produce forecasts of international tourist arrivals to India for 2007-2010 and also these data were used to produce forecasts of international tourist arrivals to Thailand for 2006-2010. From these period the results confirm that the best forecasting method based on the X-12-ARIMA seasonal adjustment is X-12-ARIMA(0,1,2)(0,1,1), X-12-ARIMA(0,1,1)(0,1,1) and X-12-ARIMA(2,1,0)(0,1,1) for... |
| Tipo: Journal Article |
Palavras-chave: India; Thailand; International tourism; X-12-ARIMA; The best forecasting methods; Agricultural and Food Policy; International Development; Research Methods/ Statistical Methods. |
| Ano: 2009 |
URL: http://purl.umn.edu/49226 |
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| Chaitip, Prasert; Balogh, Peter; Kovacs, Sandor; Chaiboonsri, Chukiat. |
| There have been growing interest in studying behavior of long memory process in tourism market. In this research examine the behavior of India’s international tourism market based on long-memory analysis. The international tourism market of India combined with nine countries: USA, UK, Canada, Germany, France, Japan, Malaysia, Australia and Sri Lanka. Moreover, three statistical tests for long memory process such as R/S test, Modified R/S test and GPH-test are employed to test in these market. The empirical findings in general provide more support for no long memory process or no long-term dependence in international tourism market of India. |
| Tipo: Journal Article |
Palavras-chave: India; Long-memory process; Long-term dependence; International Tourism Market; Marketing. |
| Ano: 2011 |
URL: http://purl.umn.edu/104649 |
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