• Knowledge Management Research
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• v.17 no.1
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• pp.155-174
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• 2016

Recent years, a smartphone has been playing a role of searching, booking, and decision-makings in the tourism industry through tourists' user experiences and engagements. This study investigated the tourists' behavior toward smartphone usage regarding Chinese visitors who were ranked in Korea inbound tourism. This research model formulated two types of usage which identified explorlative use and exploitive use and the antecedent relationships of user empowerment including user competence, user impact, usage meaning, user trust. We analyzed SmartPLS2.0 for the hypotheses and found that first, user competence has a positive influence both of exploitative use and explorative use, second, user impact has a positive influence on exploitative use, but has not influenced on explorative use, third, usage meaning has not influence on exploitive use, but has a postitive influence on explorative use, and finally user trust has influence on both of exploitive and explorative use. Based on the results we found, we suggested Chinese tourists' smartphone usages' behaviors and theoretical and practical implications.

• International Commerce and Information Review
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• v.9 no.1
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• pp.43-64
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• 2007

The study is examined to illustrate Korea's status in service trade, including travel deficit, outbound travel market, and inbound travel market. This research will also illustrate what factors generate the growth of travel deficit and suggest some alternatives to solve it even if government notes a steady increase in exports of cultural products and programs and entertainment services, driven by the Korean Wave sweeping across Asia. The study suggested some possible alternatives such as growth of travel balance, improvement of low image on Korean tourism, aggressive participation of government, strengthened role of Korean Tourism Organization(KTO), and appropriate control on overseas studies to lessen an increase of travel deficit. In addition, the study concluded, even if a tourism industry includes a higher multiplier effect, the spontaneous participation intention by Koreans themselves and the strong supports from local governments should be another major successful factors to settle down the travel deficit.

• International Area Studies Review
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• v.13 no.3
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• pp.413-438
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• 2009

Tourism is an attractive field of industry to many countries due to its strong potentials in increasing employment rates as well as improving the national image. The positive effect of the tourism on the national economy and globalization has been recognized in Korea. A multilateral effort has been made in order to develop its tourist industry. Therefore, it is necessary to analyze the patterns of tourism demand in Korea. The present study analyzes and demonstrates the effects of a nation's characteristics on tourism demand. The study model was based on factors that affected tourism demand, especially emphasizing on the economic size, distance, national income, and language differences from the mother country. In particular, this study highlights the effects of economic relations between the countries and their exchange rate on tourism demand. In summary, this thesis demonstrates that actual national and international panel data enhance the credibility of the research and precisely determine factors that have a direct influence on tourism demand. A corresponding strategy of development and products are required as most tourists show the preference in advanced nations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3006-3015
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• 2011

Psychological involvement, belief, and attitude as important variables in explaining tourism behavior have been widely examined in the tourism context for its usefulness in differentiating markets. This study investigated foreign tourists' Neo-Han Ryu related trip behaviors based on their psychological involvement, belief, and attitude toward Neo-Han Ryu. A self-administered on-site survey was conducted in January 2010. Three distinctive clusters were identified from cluster analysis. These three segment show sharp contrast in terms of their psychological involvement, attitude and belief about Neo-Han Ryu and thus differ from each other with respect to their behaviors, including satisfaction, intention to revisit, recommendation, and trip expenditure. The results clearly indicate that the segment with a high Neo-Han Ryu involvement reported stronger intention to revisit and recommendation to others compared to the less involved segments. The findings provides important implications to the marketers regarding how to utilize Neo-Han Ryu to expand Korean inbound market and how to select target markets.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.167-180
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• 2006

Websites in the Internet are uncontrollable domain and various contents in websites lead people's activities and thoughts and new business paradigms for the future. These phenomena are from expanding the social network based on the endless growth of information technology. Websites are composed with many of links and communicating and expanding their virtual area by links, inbound, outbound, onsite, and of offsite links. Research and practice in digital information on the web have focused on finding and measuring artifacts, factors and attributes of web structure and contents from the perspective that information is a resource and property of products and services. Websites links is one of the core artifacts for understanding the virtual area. This study identifies the role of web link structure and webpage keyword as artifacts and examines their relationships by webpage rank by a minimal hub as performance in the business websites that are serving tourism information. Discovering relationships of links provides managerial insights on organizations virtual activities and systematic understandings about digitalized organizational information in the information use environment.

• Journal of Sport and Applied Science
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• v.2 no.2
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• pp.11-19
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• 2018

With the rapid increase of tourists for sport participation, sporting resort is becoming popular and a related industry is improving. However, sporting resorts have been faced managerial challenges to survive in the competitive sport tourism markets. One of the key issues is to develop an effective marketing mix for resorts to be suitable for sporting tourists. Hence, the current study analyzed a marketing mix of sporting resort, identified its strategies for segmentation, targeting, and positioning, and finally suggested the effective methods for STP. For the study, PyeongChang Alpensia Resort is selected as a case. The study reviewed the documents and online journals that have covered Alpensia Resort. Via literature review, current marketing mix of Alpensia Resort was identified and its current strategies of STP further were analyzed. For the validity of the results, three experts reviewed the results. Given the decent procedures, firstly, the study suggested that Alpensia Resort needs to seek to develop products that can appeal to MICE industry. Second, Alpensia needs to build all-in-one image by providing products and accommodations including lodging, shopping, ski and related sport programs. Third, Alpensia can seek to enhance marketing mix for inbound sport tourists. Conclusions and implications are further discussed.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.123-135
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• 2018

The purpose of this study is to compare the tourism characteristics, satisfaction and influential factors of the three main tourist countries of China, Japan and the US, And to explore differentiation areas. For this purpose, data from 5,160 national tourist consumers extracted from the survey data of foreign tourists in 2016 provided by the Ministry of Culture, Sports and Tourism were used for analysis. As a result, there were statistically significant differences in itemized satisfaction and overall satisfaction by country. Especially, the common itemized-satisfaction factors affecting overall satisfaction of Chines, Japanese and American tourism consumers were 'food' and 'shopping'. In addition, individual factors affecting the satisfaction of inbound tourism consumers were derived differently, and it is required to search tourism industry upbringing policies according to their characteristics and needs. The results of this study are expected to help establish strategies for attracting foreign tourists in the future.

• Management & Information Systems Review
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• v.36 no.2
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• pp.81-92
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• 2017

This study was to investigate the elasticity in tourism demand of Chinese tourists visiting Malaysia through ARDL models by using Chinese tourists arrivals, GDP, CPI, transportation costs and others. When China was implementing an open-door policy with foreign countries in the early 15th century, the movement of Chinese was very limited, and then communication between China and other countries was very weak. However, the Chinese government persistently and entirely implemented an open-door policy by participating in the World Trade Organization(WTO) in 2001. The Chinese government has opened the economy through foreign direct investment by providing various incentives for foreign investment. As a result, inbound and outbound Chinese movements increased in the early 21st century. China was one of the top five most visited tourist destinations in the world by 2016, and also Chinese tourists traveling abroad increased, so they made Malaysia a popular tourists destination because of increase sharply to around 1.41 million. This study examined the significance of major economic factors affecting the increase in Chinese tourists arriving in Malaysia. Other factors that induced their arrival included income, tourism prices, transportation costs and promotional activities. Short-run shocks from the Asian economic crisis and the outbreak of SARS were included to understand how tourism demand in Malaysia was affected. Finally this study found that the combination of the ARDL and the Error Correction Model were useful to statistically estimate the elasticities of tourism demand.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.117-128
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• 2017

This study aims to propose measures to consistently induce Chinese tourists who represent the largest percentage of inbound tourism from foreign countries, utilizing raw data of 2015 Korea International Visitor Survey conducted by the Korea Culture & Tourism Institute under the Ministry of Culture, Sports and Tourism. Differences and influence factors for overall satisfaction on travel in Korea, intention to revisit Korea, and intention to recommendation were analyzed by demographic characteristics and tourism characteristics of Chinese consumers. As a result of analysis study, it came out that there are differences between overall satisfaction on travel in Korea and intention to revisit Korea by age and job of demographic characteristics. Among the tourism characteristics, there are differences in intention to revisit Korea depending on purpose of travel, intention to revisit Korea and recommendation according to route of travel information search, and there are differences in all three categories according to type of travel. The most important factor of all three category was identified as 'Food' factor and the second most influential factors were immigration procedures, security, and tourist attractiveness. It is suggested that more active research and improvement efforts are needed in the government, industry, and academia in order to attract Chinese tourists in the future.