• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.12
• /
• pp.3286-3309
• /
• 2023

This study empirically investigates the impact of informatization on China's inbound tourism development. The analysis utilizes data on the number of inbound tourist arrivals in 30 Chinese provinces from 13 tourist origin countries between 2004 and 2016. The regional informatization level is measured by the internet penetration rate. It is found that informatization in tourist destination provinces has a significant positive impact on inbound tourism. Moreover, the local public service supply plays a moderating role. The positive effect of informatization is stronger in regions with better public services. The study results imply that China can boost its inbound tourism by further improving the level of informatization as well as local public services.

• Journal of the Korean association of regional geographers
• /
• v.16 no.4
• /
• pp.400-416
• /
• 2010

China's inbound tourism became one of the key drivers for economic growth with open-door policy in 1978 and has experienced the fast growth over the past three decades. In 2008, China, as one of the world's leading tourist destinations, is ranked the 4th globally in the number of inbound overnight tourists. Based on China tourism statistics, this paper aims to examine the growth of inbound tourist flows at the national level and the changing spatial distribution by comparing between 1995 and 2008 at the regional level (31 province-level regions) in China. In particular, the spatial distributions of tourist flows from the 6 main generating countries (South Korea, Japan, Singapore, U.S.A., Germany, and Russia) are more concretely analyzed. For five countries except Russia, with slight differences by country, while the eastern area of China is still the most popular destination and western part remains the least visited area, the central part is witnessing the increasing popularity. Russia shows an obvious difference, presenting the spatial pattern that tourist flows are mainly concentrated in the northern and the most southern part of China. This paper helps to understand the dynamics of China's regional changes from an inbound tourism perspective.

• Korean Journal of Human Ecology
• /
• v.11 no.2
• /
• pp.197-209
• /
• 2002

The purpose of this research was to develop of measured scales for purchasing motivation of inbound tourists about fashion goods. A self-administrated questionnaire survey method was conducted among foreign tourists visited in Dongdaemun market. Data from 615 of inbound tourists were analysed by using factor analysis. As the results of the survey, 6 factors related purchasing motivation were derived; satisfaction, practicality, fashion, memory of tourism, eonomy and impromptu. The adequate indexes were shown from final models, such as RMR=.047, SMSEA =.043, CFI=.935, GFI=.956, AGFI=.937 and NFI=.888. It means that these values are appropriate to the measured scales for purchasing motivation of inbound tourists for fashion goods.

• Fashion & Textile Research Journal
• /
• v.8 no.4
• /
• pp.427-432
• /
• 2006

The purpose of this study was 1) to segment the market of inbound Japanese tourists based on the importance of tour activity that tourists perceived and 2) to examine the behavior of each segmentation purchasing cultural fashion items in Korea. Data were collected using a self-administered questionnaire survey in Seoul. Clustering analysis, Chisquare, and ANOVA test were used to conduct the data analysis on 288 out of 400 questionnaires. The inbound Japanese tourists market was segmented into 3 groups; culture oriented group, shopping oriented group, and multi-activity group. Three groups were significantly different in terms of age, income, purchase amount, purchase criteria, and degree of shopping satisfaction. Marketing strategies for segmented markets were discussed.

• International Commerce and Information Review
• /
• v.12 no.4
• /
• pp.345-362
• /
• 2010

It is necessary to develop new competitive products under the world economic downturn. The medical tourism industry a good example and it has grown rapidly for last couple of years. This paper aims to investigate socio-demographic proxies of inbound medical tourists in Korea. In particular, the medical tourist behaviors are modeled by considering the factors such as acquisition process of medical tourism information, service level of medical tourism industry and the choice attributes. The results of this study are summarized that: 1) Moot inbound medical tourists are over 40-years old with professional occupation accompanied with families; 2) The information resources are mainly acquired from travel agents and WOM(Word of Mouth) such as friends and relatives; 3) Current problems are lack of various promotion channels and the competitiveness of medical coots; 4) The inbound medical tourists are not homogeneous but vary in different segments. The study suggests that various marketing strategies should be implemented for target market segments to promote Korea as a medical tourism hub.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.05a
• /
• pp.35-37
• /
• 2021

Analyzing and predicting foreign tourists' demand is a crucial research topic in the tourism industry because it profoundly influences establishing and planning tourism policies. Since foreign tourist data is influenced by various external factors, it has a characteristic that there are many subtle changes over time. Therefore, in recent years, research is being conducted to design a prediction model by reflecting various external factors such as economic variables to predict the demand for tourists inbound. However, the regression analysis model and the recurrent neural network model, mainly used for time series prediction, did not show good performance in time series prediction reflecting various variables. Therefore, we design a foreign tourist demand prediction model that complements these limitations using a convolutional neural network. In this paper, we propose a model that predicts foreign tourists' demand by designing a one-dimensional convolutional neural network that reflects foreign tourist data for the past ten years provided by the Korea Tourism Organization and additionally collected external factors as input variables.

• International Commerce and Information Review
• /
• v.10 no.1
• /
• pp.395-414
• /
• 2008

The objective of this study is to introduce the concepts and theories of conditional heteroscedastic volatility models and the news impact curves and apply them to the Korea inbound tourism market. Three volatility models were introduced and used to estimate the conditional volatility of monthly arrivals of inbound tourists into Korea and news impact curves according to the three models. Results of this study are as follows. As the proportion of American tourists occupied a large amount of Korea inbound tourism market, the markets' forecasting is very important. The news impact curves which used EGARCH model (1,1) and TGARCH model(1,1), with data on these tourists to Korea showed an asymmetry effect of volatility. It was common that bad news means that it was estimated more sensitively than good news. From these results, we will notice that American tourists who visited Korea only for tourism are affected by good news. The result suggests that the Korea government and tourism industry should pay more attention to changes in the tourism environment following bad news because conditional volatility increases more when a negative shock occurs than when a positive shock occurs.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.6
• /
• pp.2031-2048
• /
• 2021

Not only can air pollution reduce the overall competitiveness of tourist destinations, but also changes tourists' travel decisions, thereby affecting the tourism flows. The study presents a machine learning method to analyze how the haze pollution puts spatial effect on tourism flows in China from 2001 to 2018, and reveals the regional differences in heterogeneity among eastern, central, and western China. Our investigation reveals three interesting observations. First, the Environmental Kuznets Curve of the impact of haze pollution on tourism flows is not significant. In the eastern and western regions, the interaction between haze pollution and domestic tourism flows as well as inbound tourism flows shows an inverted U-shaped curve respectively. Second, there is an significantly positive spillover effect of tourism flows in all of the eastern, central, and western regions. As to the intensity of spillover, domestic tourism flows is higher than that of the inbound tourism flows. Both of the above figures are greatest in the eastern. Third, the Chinese haze pollution mainly reduces the inbound tourism flows, and only imposes significantly negative direct effects on the domestic tourism flows in the central region. In the central and eastern regions, significantly negative direct effects and spillover effects are exerted on inbound tourism.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.9
• /
• pp.315-321
• /
• 2017

This study investigated the problems of the tourism industry mostly focusing on the Chinese market and proposed strategic orientations by analyzing the inbound tourists from various countries. The study analyzed the relationships among satisfactions and expenditures of shopping, food, transportation, accommodation and intention to revisit for the inbound tourists in Korea and explored the differences in the relationships across the countries. The study results were analyzed via structural equation modeling (SEM) using AMOS with the data for inbound tourists in 2015. The results are summarized as follows. First, for Japanese tourists, the expenditures of accommodation, shopping and transportation were significantly related to their satisfaction, respectively, while for Chinese tourists, all the expenditures were significantly related to satisfaction in all areas. Expenditures of shopping and food for Southeast Asian tourists, of accommodation and shopping for North American tourists, and of shopping and transportation for European tourists had significant effects on satisfactions. Second, for Japanese tourists, shopping, food, and transportation satisfactions were significantly related to intention to revisit, while for North American and European tourists, all satisfactions but transportation satisfaction were significantly related to intention to revisit. The study results reveal the need to develop new products for various reasons of visit Korea for various countries and that our government will have to determine and solve the problems and meet the demands from the inbound tourists from various countries in terms of shopping and transportation.

• Journal of Convergence for Information Technology
• /
• v.9 no.10
• /
• pp.56-63
• /
• 2019

The purpose of this paper is to derive an optimal route for foreign tourists in Korea. To that end, the data gained from domestic tourist portal sites was analyzed with a big data analytics tool R. The destinations most visited by inbound foreign tourists, the shortest route and the most economical route were derived from the analysis results. The findings suggest original Korean culture is the factor for successful tourist destinations and relevant products, and will serve as some reference data conducive to planning the tourist products in practice.