2007, Vol.31, No.4

Journal of Tourism Sciences 2023 KCI Impact Factor : 2.7

pISSN : 1226-0533 / eISSN : 2713-6388
https://journal.kci.go.kr/JTS

This research analyses the national tourism competitiveness using the Porter's Diamond Model. The various determinants of national tourism competitiveness were presented. In details, the national tourism competitiveness consists 13 sub-determinants and 45 evaluative scales. Moreover, an important set of evaluative scale was identified by the expert survey. The analysis of the results revealed that the Korean national tourism competitiveness was marked at 41% compared to USA, 44.6% compared to Spain, 51.6% compared to France, 61.6% compared to Japan. Specifically, demand condition and tourism related and supporting industries are assessed as a low value, on the other hand, industry strategy, structure, and rivalry are assessed as a high value.핵심용어(Key words):국가관광경쟁력(national tourism competitiveness),다이아몬드모델(Diamond Model),관광경쟁력 결정요인(tourism competitiveness determinants),국가관광경쟁력 지수(national tourism competitiveness index)

The purpose of this paper is to compare accuracy among tourism forecasting models to predict tourism demand to South Korea from Japan and U.S.A. For this end, annual data from 1970 to 2000 were used for within sample accuracy, whereas data from 2001 to 2004 were employed for testing period in order to test post sample accuracy. The criterion used for testing accuracy is value of MAPE. The empirical results indicate that econometric model for Japan and exponential smoothing for USA performed best in terms of within sample accuracy, while naive 1 model for USA and ARIMA model for Japan outperformed others on the basis of ex post forecasting accuracy. The results suggest that no single forecasting method performs consistently best across within and post sample accuracies.핵심용어(Key words):표본내 정확도(within sample accuracy), 표본후 정확도(post sample accuracy), 단변량 시계열모형(univariate time series),계량경제모형(econometric model)

This study applied the extended technology acceptance model(TAM) in order to build the concept of social environment as a key cause affecting purchase intention of internet travel products. Social environment includes subjective norm, image, visibility, and word-of-mouth/site recommendation. This study examined if these social environment factors affected the perceived value of information searching composed of perceived fun, perceived trust, and perceived ease of use, and also if these factors affected purchase intention through the perceived value of information searching. Main findings are that subjective norm, visibility, and word-of-mouth/site recommendation affected purchase intention significantly. Furthermore, perceived ease of use affected purchase intention through perceived usefulness of purchasing. The results have significant implications for both theory and practice.핵심용어(Key words):확장된 TAM(Extended TAM), 사회적 환경(Social environment), 인터넷 여행상품(Internet travel products),구매의도(Purchase intention)