• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.378-388
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• 2010

This study examines Korean tourists visiting China as to their perceived familiarity, and its impacts on the degree of preference toward China as a tourism destination, perceived risk, and the preferred tourist activities. A survey was conducted to the Korean tourists departing to China at the In-Cheon international airport, which results in collecting 305 usable questionnaires. The results show that the perceived familiarity toward China positively affects the degree of preference to China as a tourism destination. As to the impacts of familarity on the perceived risks, the results reveal that the degree of familarity is negatively associated with several risk perceptions. Lastly, the degree of perceived familiarity is positively related to the one type of preferred tourist activity, visiting nature historical sites. The results of this study support the role of familiarity as a significant factor in understanding other tourist perceptions.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.51-57
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• 2013

The purpose of this paper is to find the priority of tourist destination remodeling among tourists, residents, sellers for Incheon's Chinatown. Our questionnaire is included satisfaction of convenience, accommodation and cultural facility and development direction of Incheon's Chinatown for all stakeholder. We also surveyed building control, satisfaction of implemented public service, demand of facility both resident and seller, except for tourist. The results represent each of stakeholder is different opinion about remodeling of Incheon's Chinatown. The tourist importantly considered tourism development. The resident and seller importantly considered historical, cultural development. However, all stakeholder commonly regarded convenience and cultural facility as priority for developing chinatown.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.10
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• pp.1-9
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• 2018

The purpose of this exploratory study is to identify the mobile phone applications (apps) used by foreign tourists visiting South Korea through a pilot study using focus groups and individual interviews. Concentrating on tourist mobile app use in a smart tourism environment and categorized through a taxonomy of mobile applications lays the framework and determines the factors boosting tourism smartphone app trends by foreign tourists visiting South Korea. Researchers collected data through ethnographic methods and analyzed it through qualitative research to uncover major themes within the smart tourism app use phenomenon. The researchers coded, counted, analyzed, and then divided the findings gleaned from a pilot study and interviews into a taxonomy of seven logical smartphone app categories. The labeling and coding of all the data accounting for similarities and differences can be recognized and are logically discussed in the implications of the apps used by tourists to assist tourist destinations. More specifically these findings will assist smart tourism destinations by better understanding foreign tourist smartphone app use behavior. Tourists visiting South Korea interviewed in this study exhibited significant mastery of Internet of Things (IoT) technologies, craved free WiFi access, and utilized smartphone apps for all facets of their travel. Findings show major concentrations of app use in bookings of accommodations, tourist attractions, online shopping, navigation, wayfinding, augmented reality, information searching, language translation, gaming, and online dating while traveling in South Korea.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.97-109
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• 2024

In the field of domestic tourism, tourism trend analysis of tourism consumers, both international tourists and domestic tourists, is essential not only for the Korean tourism market but also for local and governmental tourism policy makers. e will explore the keywords and sentiment analysis on social media to establish a marketing strategy plan and revitalize the domestic tourism industry through communication and information from tourism consumers. This study utilized TEXTOM 6.0 to analyze recent trends in Korean tourism. Data was collected from September 31, 2022, to August 31, 2023, using 'Korean tourism' and 'domestic tourism' as keywords, targeting blogs, cafes, and news provided by Naver, Daum, and Google. Through text mining, 100 key words and TF-IDF were extracted in order of frequency, and then CONCOR analysis and sentiment analysis were conducted. For Korean tourism keywords, words related to tourist destinations, travel companions and behaviors, tourism motivations and experiences, accommodation types, tourist information, and emotional connections ranked high. The results of the CONCOR analysis were categorized into five clusters related to tourist destinations, tourist information, tourist activities/experiences, tourism motivation/content, and inbound related. Finally, the sentiment analysis showed a high level of positive documents and vocabulary. This study analyzes the rapidly changing trends of Korean tourism through text mining on Korean tourism and is expected to provide meaningful data to promote domestic tourism not only for Koreans but also for foreigners visiting Korea.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.501-508
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• 2020

The focus of this research was on Bali, Indonesia as an international tourist destination. The survey strategy involved self-administered questionnaires distributed to collect data and information supporting this research. The sampling method was non-probability convenience purposive sampling, which means that only those respondents who had visited Bali as a destination for more than two times for their holiday by the time the research was conducted were eligible to fill in the questionnaires. There were 300 questionnaires distributed, only 254 of which were valid. Interview was also conducted for data collection in this research. The structural equation modelling approach was used to analyze the data obtained from respondents, who had visited Bali at least two times. The outcomes of this research reveal a positive influence of push and pull motivational factors on tourist satisfaction. Moreover, a positive, significant correlation between satisfaction and destination loyalty can be seen in this research. With the aim to sustain and enhance destination competitiveness, the results of this research will be beneficial for stakeholders of Bali as a destination. This study helps stakeholders identify push and pull motivational factors in order to better prepare marketing strategies and utilize indicators of push and pull motivation that affect tourists' experience during their stay.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.750-759
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• 2020

The wide application of various integrated location-based services (LBS social) and tourism application (app) has generated a large amount of trajectory space data. The trajectory data are used to identify popular tourist attractions with high density of tourists, and they are of great significance to smart service and emergency management of scenic spots. A hot spot analysis method is proposed, based on spatial clustering of trajectory stop points. The DBSCAN algorithm is studied with fast clustering speed, noise processing and clustering of arbitrary shapes in space. The shortage of parameters is manually selected, and an improved method is proposed to adaptively determine parameters based on statistical distribution characteristics of data. DBSCAN clustering analysis and contrast experiments are carried out for three different datasets of artificial synthetic two-dimensional dataset, four-dimensional Iris real dataset and scenic track retention point. The experiment results show that the method can automatically generate reasonable clustering division, and it is superior to traditional algorithms such as DBSCAN and k-means. Finally, based on the spatial clustering results of the trajectory stay points, the Getis-Ord Gi* hotspot analysis and mapping are conducted in ArcGIS software. The hot spots of different tourist attractions are classified according to the analysis results, and the distribution of popular scenic spots is determined with the actual heat of the scenic spots.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.1-9
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• 2022

The purpose of this study is to examine the mediating effects of destination mood and tourist's mood state on the relationship between tourism memory and revisit intention focusing on the psychological approach. The number of subjects for the research is 301 visitors enjoying tourist destinations in Gyeongju and Jeju. This study employs path analysis offered by the AMOS 28 statistical program to analyze the mediating effects of destination mood and tourists' mood states. The path analysis shows that tourism experience positively influences tourism memory, tourism memory positively affects revisit intention, and there are mediating effects of Destination mood and tourist's mood state on the relationship between tourism memory and revisit intention.

• Asia-Pacific Journal of Business
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• v.14 no.2
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• pp.187-199
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• 2023

Purpose - The purpose of this study is to formulate a plan to cope with tourists' rights which can occur in tourist attraction place and anywhere for tourist activities and to seek a plan for introducing a watchdog system for tourists' civil complaints. Design/methodology/approach - To perform this purpose, this article will discuss a research review of the scope of tourist activities in terms of space and place perspectives and compare them to the watchdog and ombudsman concepts. And the study analyses and look at the suggestion about Tourism complains center and the Tourism policy system of procedure function and role critically. Findings - The Watchdog system is a routine activity in which citizen monitoring activities are developed in the form of a system and share inconvenience and anxiety detected in time and space in the expanding range of entertainment, leisure, and sports tourism activities. The resulting accident rate can be reduced, the administrative and private businesses can be resolved, and the cost of handling can be solved. Research implications or Originality - The social contribution of Watchdog can be systematically expanded and resolved at various sites by securing public trust in the country threats in daily places preventing risks securing continuous safety management of related facilities and other industries

• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.444-456
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• 2011

The purpose of this study is multi-faceted. Firstly, it is to examine the perceived differences in novelty experience, psychic distance, and satisfaction among Japanese, Chinese, and American tourists visiting Korea. Secondly, it is to investigate the effects of novelty experience on their overall satisfaction in Korea. Lastly, this study attempts to examine the role of psychic distance on the level of perceived novelty experience in Korea. A survey was conducted to 307 international tourists departing Korea at the In-Cheon International Airport. The results show that there is a significant difference in the perceived psychic distance, novelty experience, and overall satisfaction in Korea among Japanese, Chinese, and American tourists. Also, there is a significant effect of novelty experience on tourist overall satisfaction. The results further reveal that the degree of psychic distance is a significant determinant of the perceived novelty experience, which supports the effectiveness of psychic distance concept in predicting the novelty experience. The results of this study make a significant contribution to advancing our understanding of tourist behavior through the re-constructed concept of novelty.