• Journal of the Economic Geographical Society of Korea
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• v.1 no.1
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• pp.113-135
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• 1998

There have been several research methodologies to measure the impacts of tourism development on the regional economy, which include input-output analysis, income multiplier analysis, labor creation effect analysis, etc. Most of these are based on regional economic indices using secondary data for medium to large regional units. This study tests the possibility of adopting tourist money now analysis, which encompasses a series of money flows beginning with tourists'payment for room, board and shopping, followed by tourist companies'expenditure for material and service purchase, wage, utilities, rent, tax and so forth, and by tourism workers'expenses for living and savings. This method makes it possible to reveal the amount and geographical extent of tourist money flow and draws some meaningful regional economic figures. Case studies of three torist developing areas show that it is utilized for impact studies for small scale areas.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.413-418
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• 2020

The travel pattern of tourists for the development of the tourist course is designed to collect and analyze tourist information based on the big data of the carrier to improve the quality of the tourist course. In particular, the analyzed data is used to derive empirical data that can estimate the effect of tourists' inflow into tourism, and to utilize the information as basic data for the development of the tourist course. In addition, the travel pattern of tourists for the development of regional tourism courses is to collect and analyze information on the route and duration of tourists' travel based on big data collected by telecom operators, credit card companies and other data to improve the quality of tourist course development, and to derive empirical data to estimate the effect of tourist inflow through the analyzed data, based on the characteristics of the tourism course and the data needed for the development of new tourist courses in the future.

• 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.

• Journal of Korea Entertainment Industry Association
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• v.15 no.7
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• pp.235-247
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• 2021

The purpose of this study was to examine whether the motivation for visiting experiential tourism can be maximized by revitalization of domestic tourism according to tourist image and visit satisfaction. In order to achieve this purpose, the four factors of educational motive, experiential motive, cultural motive, and communion motive of experiential tourists who visited domestic experiential tourist destinations, as well as the image of tourist destination, and suggestions for revitalizing domestic tourism through visit satisfaction were proposed. Therefore, the implications of this study are as follows. First, theoretical significance can be found by establishing the concept of domestic experience tourists' visit motives, image of tourist destinations and results related to visit satisfaction in the COVID-19 according to this study. It suggests that it is an essential condition for promoting a new change in which tourists participate in experiential tourism motives in the era of the pandemic by providing experiential tourism programs that are tailored to the level of tourists through research on the image of tourist destinations and their satisfaction with their visit motives. are giving Second, in terms of experiential tourism programs operated by domestic experiential tourism companies, it should be possible to promote the image of a safe tourist destination utilizing the characteristics of untact services that can provide non-face-to-face services. In addition, in an environment where visits to experiential tourism activities are somewhat limited in the era of the pandemic corona, it will help to revitalize domestic tourism and the local economy by expanding the non-face-to-face service to discover and develop direct experience programs in the region.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.149-156
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• 2020

The study aims to investigate a close relation between macro and non-macro variables on stock performance of tourism companies in Korea. The sample used in this study includes monthly data from January 2001 to December 2018. The stock price index of the tourism companies as a dependent variable are obtained from Sejoong, HanaTour, and RedcapTour as three leading Korean tourism companies that have been listed on the Korea Stock Exchange. This study assesses the tourism stock performance using the quantile regression approach. This study also investigates whether global crisis events as the Iraq War and the global financial crisis as non-macro variables have a significant effect on the stock performance of tourism companies in Korea. The results show that the oil prices, exchange rate and industrial production have negative coefficients on stock prices of tourism companies, while the effects of tourist expenditure and consumer price index are positive and significant. We estimate the result of quantile regression that non-macro determinants have statistically a significant and negative effect on tourism stock performance because the global crisis could threaten traveler's safety and economy. Overall, empirical results suggest that the effects of macro and non-macro variables are statistically asymmetric and highly related to tourism stock performance.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.4
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• pp.39-47
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• 2016

This study is a smart tourism research based on face recognition applied system that manages individual information of foreign tourists to smartphone. It is a way to authenticate by using face recognition, which is biometric information, as a technology applied to identification inquiry, immigration control, etc. and it is designed so that tourism companies can provide customized service to customers by applying algorism to smartphone. The smart tourism system based on face recognition is a system that prepares the reception service by sending the information to smartphone of tourist service company guide in real time after taking faces of foreign tourists who enter Korea for the first time with glasses attached to the camera. The smart tourism based on face recognition is personal information recognition technology, speech recognition technology, sensing technology, artificial intelligence personal information recognition technology, etc. Especially, artificial intelligence personal information recognition technology is a system that enables the tourism service company to implement the self-promotion function to commemorate the visit of foreign tourists and that enables tourists to participate in events and experience them directly. Since the application of smart tourism based on face recognition can utilize unique facial data and image features, it can be beneficially utilized for service companies that require accurate user authentication and service companies that prioritize security. However, in terms of sharing information by government organizations and private companies, preemptive measures such as the introduction of security systems should be taken.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2004.05a
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• pp.285-309
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• 2004

Sophia Antipolis was planned to be developed as an innovative technopole in the southern french area near Nice, a tourist destination. from an area with very little scientific activities, it was created as a vibrant city with science and industrial and cultural activities begining from the early 1960s. A dedicated university professor, who became a politician later, Pirre Laffite, organized non governmental institutions and professional associations to designate an area with 2300 ha and planned it for environmentally clean technopole. Sophia Antipolis eventually bacame the most well known technopole in Europe, hosting 1,200 companies with 24,000 employees. In this context, this paper analyses the process of building Sophia Antipolis and the operational mechanisms of the technopole, based on the data gathered from interviews with managers of the companies and supporting institutions of Sophia Antipolis.

• Journal of Convergence for Information Technology
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• v.7 no.3
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• pp.111-116
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• 2017

This study offers the possibility as a new product of souvenirs from cultural tourist sites with virtual reality contents, instead of a simple exhibit. Users can watch augmented reality contents on souvenirs, and use the virtual experience service of cultural tourist sites with VR viewer. It has 4K-class high-quality $360^{\circ}$ image capture to increase the immersion of users in virtual space, implement virtual reality space and intuitive UI interaction with users using IMU (Inertial Measurement Unit). It is also possible to apply various add-on functions, including 3D contents, through technical development to increase its marketability, and apply in other industries. In addition, the prototype of the souvenir and VR viewer will be made by using a 3D printer and such in order to apply the contents which will be introduced in this study. Various product expansions can be considered through consultation with the relevant companies for the use of ready-made products.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.993-1003
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• 2021

The contribution made by the tourism sector is strategic enough to provide job opportunities and increase the state's foreign exchange which will be followed by development in the information and technology sectors. The population of this study includes all domestic tourists who visit the Batu City Angkut Museum over 17 years of age and who have obtained information via eWOM from other tourists. Based on the measurement, a minimum of 160 respondents must be selected as the research sample. Non-probability sampling techniques are used to select samples. Social media had been used by companies to provide information, services, and products related to tourism, and it was utilized by tourists to share information about their traveling experiences. Nowadays, tourists have become more selective and critical in selecting their destinations as they have become good observant in finding adequate information about certain destinations before deciding to visit the place. This reaction can be influenced by positive eWOM communication, positive image, and trust given to certain tourist destinations. Therefore, improving the number of visits requires the management of certain tourism service companies to apply proper marketing strategy and provide various advantages and best service quality to attract more visitors and give satisfaction to visitors.

• Ocean and Polar Research
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• v.33 no.2
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• pp.149-157
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• 2011

As tourist are becoming increasingly environmentally conscious, government and related companies need to establish policies or strategies that encourage ecotourism. The aim of this study is to analyze individual preferences and estimate shadow prices, namely, willingness to pay for coastal wetland ecotourism. This study applies a contingent choice method to measuring marginal WTP for each attribute (tour duration, number of visitors, guide, program) of coastal wetland ecotourism. The finding herein contribute to complementing the valuation methods by estimating various attributes of coastal wetland ecotourism and providing policy-makers with useful methodological framework and quantitative information in the decision-making process related to ecotourism.