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Cross-cultural understanding in tourism is a well-researched area, but in spite of great amount of time and money spent on cross-cultural training programs, this study suggests miscommunication continues to exist, caused by differences between expected and actual host or guest behavior. A gap, therefore, appears to exist between theory and practice. This article argues that much of this gap can be attributed to international tourists behaving in a manner that diverges from their expected cultural norms when they travel. They join a temporary 'tourist culture' that sanctions, and indeed, encourages alternate behavior. Tourist behavior, therefore, represents a combination of national and 'tourist' cultures. This proposition is tested by comparing the expected and actual behavior of Korean tourists visiting Australia. The study found that both tourists and frontline hotel staff noted that tourists behaved in a less restrained manner than expected. These findings have significant implications for cross-cultural training. [ABSTRACT FROM AUTHOR]

This study will focus on Japanese tourists who make up the largest international tourist market for Hawaiian tourism. The goal of this study was to explore the potential of the segmentation of Japanese tourists by their specific tour purpose. Respondents indicated five main purposes such as honeymoon tourism (10.8%), fraternal association tourism (17.8%), sports tourism (33.8%), tourism for rest and relaxation (7.6%), and business/VFR tourism (29.9%). According to results of one-way ANOVA test, chi-square test, and correspondence analysis, respondents' characteristics were differently shown on the basis of tour purpose-based segments. Thus, it is concluded that tour purpose-based segmentation is very useful and straightforward in practical application. Finally, the results of this study are expected to establish marketing strategies for attracting more Japanese tourists and providing satisfaction through differentiating demands according to the main purpose of their tour. [ABSTRACT FROM AUTHOR]

This study introduces the concepts and theories relating to conditional heteroscedastic volatility models and the news impact curve, and applies them in the analysis of the tourist market in Korea. Three volatility models are used to estimate the conditional volatility of monthly arrivals of inbound tourists into Korea, and news impact curves are examined in the context of these models. The major findings of this study include the existence of monthly seasonality in conditional mean equations, the existence of asymmetric effects from the EGARCH and TARCH models, and the persistence of the impact of news shock on monthly tourist arrivals into Korea in the estimation of the GARCH model. [ABSTRACT FROM AUTHOR]