• Smart Media Journal
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• v.12 no.8
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• pp.18-25
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• 2023

The COVID-19 outbreak in 2020 caused continuous damage worldwode, especially the smart tourism industry was hit directly by the blockade of sky roads and restriction of going out. At a time when overseas travel and domestic travel have decreased significantly, the number of tourist hotels that are colsed and closed due to the continued deficit is increasing. Therefore, in this study, licensing data from the Ministry of Public Administraion and Security were collected and visualized to understand the operation status of the tourism and lodging industry. The machine learning classification algorithm was applied to implement the business status prediction model of the tourist hotel, the performance of the prediction model was optimized using the ensemble algorithm, and the performance of the model was evaluated through 5-Fold cross-validation. It was predicted that the survival rate of tourist hotels would decrease somewhat, but the actual survival rate was analyzed to be no different from before COVID-19. Through the prediction of the business status of the hotel industry in this paper, it can be used as a basis for grasping the operability and development trends of the entire tourism and lodging industry.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2241-2246
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• 2015

Recently for efficient management, companies have collected and investigated information about customers' feedback by using a system that analyzes big data from social media. This paper proposes more accurate and efficient evaluation method of collecting and investigating customers' feedback using social big data for travel agency, which is representative company of hospitality industry. First, it designs service model and, as a test-bed, analyzes media channel, customer satisfaction, and brand-image etc. of big 5 travel agencies in Korea. In addition, we suggest an analysis result of evaluating preference with positive rate and negative rate by proposed evaluation method. It allows a travel agency to know which area should be improved corresponding to evaluation item; thus, suggested evaluation method is effective to manage customers even more efficiently.

• The Journal of Industrial Distribution & Business
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• v.9 no.1
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• pp.67-76
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• 2018

Purpose - With the worldwide aging problem and the development of globalization, customers prefer to seek affordable medical services with the higher quality overseas. This new trend has urged some destination countries to improve their services for the more competitive advantages over other countries. Literature research indicate that medical quality and cost may be the key factors influencing global patients' decisions. In the international environment, however, medical tourism destinations are selected due to cultural similarity between the hosting country and the customers' own country. The more similarity perceived between the two countries leads foreign patients to choose the considering country as the destination for medical tourism. However, little research has been conducted on this topic. Thus, we empirically investigate how cultural similarity influences Chinese medical customers' choice of the destinations. We also consider the factors related to medical competency and travel attribute which might affect customers' decisions along with some moderating roles of disease types. Research design, data, and methodology - We proposed a research model in order to confirm the relations among different variables of cultural similarity, medical competency, travel attractiveness, disease types, and destination choice. The questionnaire survey is processed in the more economically developed regions of China such as Beijing, Shanghai, and Jiangsu. Conditional logit regression is applied to analyze the data of 881. Results - Results indicate that cultural similarity is the important predictor of Chinese customers' decision to select a medical country. However, the effects of cultural similarity vary according to the disease types. We also find that medical competency and travel attractiveness influence their decisions with the moderating role of disease types. Conclusions - Cultural similarity is the important factor that influences Chinese potential medical tourists' decisions to select a destination. Marketing managers should consider the effects of cultural similarity when developing strategies for attracting Chinese medical tourists. Since medical competency and travel attractiveness are still the critical key elements for them to evaluate the destination countries, it is necessary to continuously improve medical service quality and facilities. The results also recommend that medical managers should sharpen their marketing strategies by segmenting Chinese potential customers in terms of disease types.

• Smart Media Journal
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• v.12 no.8
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• pp.37-44
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• 2023

This study investigated the influence of travel-related content on the popular short-form platform TikTok in China on users' intentions to visit travel destinations and purchase travel products. Conducted in July 2023, amidst the rising consumption of short-form content through mobile devices due to the COVID-19 pandemic, the research surveyed 337 participants using an online survey platform in China. The findings revealed that the entertainment factor within TikTok's content did not significantly impact the perception of travel destinations, whereas informativeness and trustworthiness had positive effects. Moreover, expertise and interactivity also had positive effects. The study demonstrated that the image of travel destinations formed through short-form content on TikTok positively and significantly influenced visitors' intentions. These results provide valuable insights for crafting effective strategies in the tourism industry and marketing efforts.

• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.65-71
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• 2023

In this paper, we design and implement the Walking Life Festival application, which is based on the Android platform and provides information about domestic travel destinations and regional festivals in South Korea. This application utilizes various sensors found in smartphones, including the Step Counter sensor, Step Detector sensor, Acceleration sensor, and GPS sensor. Additionally, it makes use of Google Map API and Public Open API to offer information about domestic travel destinations and local festivals. The application also incorporates an automatic login feature using the Shared Preference API. When storing login information in the database, it encrypts the input plaintext data using a hash algorithm. For Google Maps integration, it creates objects using the Google.maps.LatLngBounds() method and extends the location information through the extends method. Furthermore, this application contributes to the activation of the domestic tourism industry by notifying users about the timing of local festivals related to domestic travel destinations, thus increasing their opportunities to participate in these festivals.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.81-92
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• 2021

The purpose of this study is to present an approach to the "Digital Health Passport" (DHP), which will be the most important in the change of the travel industry among the sudden environmental changes brought about by COVID-19. To this end, this study reviewed a variety of empirical literature on DHP, and proposed a framework for DHP based on literature review. The framework is composed of travel intention, health information provision intention, and new technology acceptance/adoption of tourists. First, in terms of travel intention, providing information to DHP should not undermine the travel intention of the travelers. It should be possible to facilitate the travelers' enjoyment by using the information provided by the traveler. In addition, there is a need to assure that the data provided by travelers is managed in a reliable way. Second, it is necessary to understand why the travelers want to provide additional personal information (information disclosure), rather than seeing healthcare information only in terms of mandatory information provision. Finally, from the perspective of new technology, it is necessary to understand the intention of travelers to use/adopt DHP. The key implication of this work is that it proposed a DHP framework for realizing the travel bubble to predict and respond to foreign travelers' behaviors.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.503-517
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• 2021

This study is focused on tourism storytelling(educational, interesting, emotional, uniqueness), SNS tourism value (functional, social), SNS trust, and immersion in travel agency relationship, which are important discussions in the tourism industry. The study subjects are verified 390 respondents who had accommodation experience using SNS, and SPSS 25.0 and Smart PLS 3.0 were used to perform the analysis. The study results are as follows. First, it was confirmed that the educational and interesting factors of tourism storytelling had a positive effect on the functional value, and that the affective relationship was not established between emotional and uniqueness factors. In addition, it was confirmed that educational, interesting, and uniqueness factors had a positive effect on social values, but emotional factors did not establish an influence relationship. Secondly, it was confirmed that SNS tourism value had a positive effect on immersion in travel agency relationship. However, there was no relationship between SNS tourism value and social value. Finally, it was confirmed that SNS trust had a moderating effect on the relationship between SNS tourism value and immersion in travel agency relationship. Through these research results and implications, comprehensive recommendations were presented to tourism industry practitioners.

• The International Journal of Costume Culture
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• v.2 no.2
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• pp.14-30
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• 1999

Quality Function Deployment (QFD) is a product development tool used to ensure that the voice of the customer is heard and translated into products. This paper shows the applicability and usefulness of this product development tool in the apparel industry by developing an apparel example and taking it through the four matrices that encompass a QFD process.

• Journal of the Korean Society of Industry Convergence
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• v.5 no.2
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• pp.111-118
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• 2002

In GMAW(Gas Metal Arc Welding) processes, bead geometry (penetration, bead width and height) is a criterion to estimate welding quality, Bead geometry is affected by welding current, arc voltage and travel speed, shielding gas, CTWD (contact-tip to workpiece distance) and so on. In this paper, welding process variables were selected as welding current, arc voltage and travel speed. And bead geometry was reasoned from the chosen welding process variables using neuro-fuzzy algorithm. Neural networks was applied to design FLC(fuzzy logic control), The parameters of input membership functions and those of consequence functions in FLC were tuned through the method of learning by backpropagation algorithm, Bead geometry could he reasoned from welding current, arc voltage, travel speed on FLC using the results learned by neural networks. On the developed inference system of bead geometry using neuo-fuzzy algorithm, the inference error percent of bead width was within ${\pm}4%$, that of bead height was within ${\pm}3%$, and that of penetration was within ${\pm}8%$, Neural networks came into effect to find the parameters of input membership functions and those of consequence in FLC. Therefore the inference system of welding quality expects to be developed through proposed algorithm.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.347-354
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• 2010

Rapidly increasing aged population provides an ample market opportunity for the Korean travel industry, and from national policy perspective, it poses an fortified demands for welfare tourism. In the fierce competition, this emerging market can serve as a lucrative target market for tourism & travel industry in Korea. In addition, using tourism for the aged as a social welfare policy can be a potentially viable means to mitigate the increase social pressure due to rapid population aging. This rationale is based on the assumption that tourism contributes to higher level of perceived life satisfaction compared to other leisure activities among the aged. In this study, using empirical data collected from 185 respondents aged 55 and above in Cheong Ju area, the effect of demographic factors and trip-related behaviors on life satisfaction was tested. The results indicate that economic and health conditions affect life satisfaction positively, while trip-related behaviors did not exert any significant effect on life satisfaction. In light of the results, practical implications for marketing and policy-making were presented in detail.