• Journal of Distribution Science
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• v.12 no.9
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• pp.53-63
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• 2014

Purpose - The rapid spread of SNS and increase of SNS users have heralded great changes in the tourism industry. Therefore, this study focused on how SNS characteristics- usefulness, convenience, interactivity, and intimacy - influence diffusivity, reliability and, consequently, user's preference for tourist attractions. Research design, data, and methodology - This study is designed not only to collect data with a questionnaire survey but also to test hypotheses with SEM by SPSS 18.0 and AMOS 18.0. Results - Usefulness, interactivity, and intimacy positively affect diffusivity, whereas convenience does not positively affect diffusivity. In addition, intimacy has a negative influence on reliability. However, diffusivity and reliability have positive impacts on the preference for tourist places. Conclusions - Certain characteristics of SNS facilitates the spreading of SNS tourist information. Usability and interactivity have positive impacts on the reliance of tourist information. Better communication can enhance the reliance of travel information. The influence of spreading tourist information has a positive influence on its reliance. Extension and reliance can have positive effects on the preference for tourist attractions.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.61-68
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• 2021

The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.

• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.4
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• pp.42-55
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• 2013

The purpose of this study is to figure out the place characteristics of preferable city tourist attractions through the contents analysis of non-academic literatures such as tourist guidebooks and web materials. The most preferable Seoul tourist attractions were selected by their frequency in literatures including Namsan and Hangang as 'natural' places, Dugsu Palace and Gyungbok Palace as 'historical' places, Itaewon and Daehak-ro as 'lively-cultural' places that were classified by their relativistic character. The main findings of the research are as follows. The essential place characteristics of tourist attractions were synthesized in urban, regional and place scale respectively. While 'contrast' was found to be the most distinguished character of the tourist attractions in the urban context, 'connectivity' was found to be the most distinguished character of the tourist attractions in the regional context. In addition, both 'visibility' and 'experience' were found to be the most distinguished characters of the tourist attractions in the place context. The characteristics of these places seem to be the universal fascination factors of city tourist attractions currently recognized by ordinary citizens. We expect to further strengthen the city identity and the city tourism effect by adopting those research results systematically to the urban environment. Therefore, it is needed to vitalize the urban tourist attractions that we make them to be more 'contrasting' with urban areas surrounding them, more 'connective' with vicinity areas and more 'visibly fascinating' and 'experienced actively and meaningfully' in each place of tourist attractions.

• The Journal of Economics, Marketing and Management
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• v.11 no.2
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• pp.47-55
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• 2023

Purpose: The purpose of this study is to investigate the relationship between product characteristics, product preference and purchase intention for Mongolian tourists visiting Korea, and in particular, to analyze the moderating effect of product involvement and tourist image in the relationship between product characteristics and purchase intention. Research design, data, and methodology: A research model was derived through existing literature research and a survey was conducted on Mongolian tourists visiting Korea. SPSS and AMOS24.0 were used for data analysis and hypothesis testing. Results: The tourism product characteristics affect the product preference and purchase intention. Tourist image and involvement have moderating effects between product preference and purchased intention. Conclusions: This study demonstrated that product characteristics at travel destinations is a key factor in order to enhance the product preference and purchase intention for foreigners visiting Korea. On the other hand, since the purchase intention of the tourism destination vary depending on tourist image and involvement, it suggests that travel industry practitioners or researchers should try to various efforts to enhance the factors which affect the involvement or the tourists or image of the tourist site.

• Journal of Korean Society of Rural Planning
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• v.14 no.3
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• pp.99-110
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• 2008

Tourist destination remodeling project is the tourist destination activation program to promote underdeveloped tourist destination that the Ministry of Culture and Sports has been implementing as a pilot program since 2005. Since previous tourist destination development programs focused on developing facilities, they could not quite cope with the changes in the tourism paradigm. Especially for caves, they could not escape from the simple sightseeing for the characteristics of the resource were fit to the caves. These results failed to meet tourist demands to experience and participate that the number of tourists is continuously decreasing. To cope with the circumstances, the government introduced a pilot program, a comprehensive tourist destination reorganization plan designed to comprehensively promote the tourism contents development (software) that can differentiate the region such as the tourism activation programs, tourist destination management and operation system reorganization (humanware) along with the repair of facilities (hardware project). This study emphasized the participation of residents who are the actual subject of management and operation of tourist facilities and programs in the course of establishing the master plan for remodeling for Gossi Cave that it can be used as the reference for establishing remodeling plan based on resident participation in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.231-244
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• 2022

With the improvement of people's living standards and the development of tourism, tourists have greater freedom in choosing destinations. Therefore, as an indicator of satisfaction with scenic spots, tourist comments are becoming increasingly prominent. This paper aims to compare and analyze the landscape image of the Five Great Mountains in China and provide specific strategies for its development. The online reviews of tourists on the Online Travel Agency (OTA) website about the Five Great Mountains from 2015 to 2018 are collected as research samples. The text analysis method and R language are used to analyze the content of the tourist reviews, while the high-frequency words in the word cloud are used for visual display. In addition, the entropy weight method is used to determine the index weight and tourist satisfaction is evaluated to understand the weaknesses of those scenic spots. The results of the study show that firstly, the tourist satisfaction with the Five Great Mountains is basically consistent with its popularity. Secondly, through weight analysis, tourists pay special attention to the landscape features and environmental health of the scenic area, so that relevant departments should focus on building the landscape characteristics and improving the environmental health of the scenic area. At the same time, the accommodation and service management of the scenic spot cannot be ignored. Finally, according to the analysis results, suggestions are made on how to improve the tourist satisfaction with the Five Great Mountains.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8228-8233
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• 2015

This study was examined for perception of introduction and adaptation stages focused on the tourist police in Seoul Metropolitan Police Agency. Seoul Metropolitan tourist police operates that is installed the first in Korea. Through in-depth interviews, we collected and analyzed data on the purpose of the tourist police, operating direction, the areas of activity, job characteristics, working environment. Awareness about activities of the tourist police members can have a significant impact on tourist police installations in the future. The survey was conducted for tourist police officers 16 people in the Seoul Metropolitan Police Agency, and analysis of the data was carried out through a qualitative research analysis program NVivo 10.0. Recognition was divided that Start step, Trial-and-error step, Skilled step, Completion step from the work experience of the tourist police and it analyzed the difference between each step. Each stage found difference in the individuals, working periods, also it was confirmed that difference of opinion about the settlement and completeness in the tourist police.

• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.115-122
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• 2018

This study investigates characteristics of smartphone tourism information service and influence on reliability of tourist information among university students. A total of 251 students attending university in Gwang-ju city and South Jeolla provence participated in this research. Data was collected for 5 days at 5 different university campus, 2 in South Jeolla provence and 5 in Gwang-ju city, from October 23 to October 27, 2017. The result of this study showed that the female-group tends to use mostly every tourism service in the category far more than the male-group. Moreover, the informational quality factor among characteristics of smartphone tourism information influences on reliability of tourist information in the male-group while the ease-of-use factor among characteristics of smartphone tourism information influences on reliability of tourist information the female-group.

• Korean Journal of Environment and Ecology
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• v.23 no.5
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• pp.460-470
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• 2009

The purpose of this research is to suggest appropriate directions for the desirable ecotourist attraction management through the investigation of the tourist's satisfaction with ecotourism in case of Geumgang birdwatching destination. This research focus on the identification of the determinants of the ecotourist's satisfaction and the estimated regression model. The results of this study for the tourist's satisfaction with the ecotourism are summarized as follows. First, as a result of the factor analysis of the tourist's satisfaction variables, five factors like 'knowledge information', 'experience', 'ecological value', 'guide service', 'facilities environment' are deduced. Second, as a result of the test of significance, the difference of the satisfaction with ecotourism in aspect of the tourist's demographic characteristics like age and academic background is confirmed to be statistically significant except sex. Third, the tourist's satisfaction with ecotourism appears to be positively correlative with the tourist's overall satisfaction.

• Journal of Internet Computing and Services
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• v.23 no.1
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• pp.11-17
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• 2022

Data mining is the task of accessing useful information from a large capacity of data. It can also be referred to as searching for correlations that can provide clues about the future in large data warehouses by using computer algorithms. It has been used in the tourism field for marketing, analysis, and business improvement purposes. This study aims to analyze the tourist profile in Turkey through data mining methods. The reason relies behind the selection of Turkey is the fact that Turkey welcomes millions of tourist every year which can be a role model for other touristic countries. In this study, an anonymous and large-scale data set was used under the law on the protection of personal data. The dataset was taken from a leading tourism company that is still active in Turkey. By using the k-means clustering algorithm on this data, key parameters of profiles were obtained and people were clustered into groups according to their characteristics. According to the outcomes, distinguishing characteristics are gathered under three main titles. These are the age of the tourists, the frequency of their vacations and the period between the reservation and the vacation itself. The results obtained show that the frequency of tourist vacations, the time between bookings and vacations, and age are the most important and characteristic parameters for a tourist's profile. Finally, planning future investments, events and campaign packages can make tourism companies more competitive and improve quality of service. For both businesses and tourists, it is advantageous to prepare individual events and offers for the three major groups of tourists.