• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.176-183
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• 2013

This study is focused on analyzing the quality importance of hotel SNS(social network service). And by reviewing precedent papers and references regarding concept and quality factors about SNS in hotel industry, it drew proper criteria to select priorities and evaluate hotel SNS quality using AHP. The important factors based upon related theories are suggested in this paper such as information quality, system quality, service quality, interface quality and emotional quality. The survey for empirical study was executed with hotel employees and total 149 questionnaires were used for this study. We used AHP for statistical analysis, As the results, the most important factor is emotional quality factor and the next is interface quality factor.

• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.1-16
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• 2020

The purpose of this study is to promote package tourism. The value perceived as a sub-factor of tourism motivation and inducement was divided into emotional and functional values. And the variables of tourism constraints, satisfaction and behavior were addedly presented. The analysis proved that all factors have a positive effect on perceived values (emotional and functional) of the sub-factors of tourism motivation (daily escape, harmony, service appeal, convenience). The perceived value (emotional and functional) has also established a positive impact on the satisfaction, and tourism restrictions have been proven to have a negative impact on satisfaction and behavior intention. Finally, it was confirmed that there was a positive relationship between the two variables of satisfaction and behavior. Based on these research results, the implications and future research directions were presented, and it could be useful for promoting package tourism.

• Asia pacific journal of information systems
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• v.29 no.3
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• pp.448-467
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• 2019

In a new age of smart tourism, free independent travelers (FITs) choose their travel routes in a more diversified and less predictable way with the aid of smart services. This paper focuses on the movements of Chinese outbound FITs in the U.S. in the year of 2018. 110 places to visit (destinations) extracted from 122 travel routes recommendations on Qyer.com, a major online travel community in China, are analyzed with social network analysis (SNA). Based on the results of SNA, employing degree centrality, eigenvector centrality, betweenness centrality, network visualization, and cluster diagram methods, some preferred cities and natural attractions outside city centers (i.e., New York City (NYC), Los Angeles, San Francisco, Washington D.C., and Niagara Falls) are identified. Moreover, it is found that NYC in the East and Los Angeles in the West play a major role in the movements of Chinese FITs. This study contributes to the body of knowledge on tourist destination movements and provides valuable implications for smart service development in the tourism and hospitality industry.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.4
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• pp.571-579
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• 2007

The aim of this study was to predict the development process of the Korean food service industry by forecasting the per capita GDP. Forecasting the GDP, involved two primary approaches. One was related to looking at the Korean food service industry's situation by per capita GDP and comparing it to that of the US and Japan. The other was to predict food service industry projections in Korea by quantitative forecasting models. Holt's simple exponential smoothing method and new types of the series models(Damped trend exponential smoothing method), were employed to predict the per capita GDP. The accuracy of the models was measured by MAPE. The empirical results of the forecasting models indicate that the three time series models performed fairly well. Of these Damped trend Damped trend exponential smoothing performed best with the lowest MAPE(9.9%). The results show that the time for reaching a per capita GDP level of $20,000 was 2008 with the Damped trend model and 2009 with the Holt model. Moreover, we found that a per capita GDP level of $30,000 will be achieved in 2012 from the Damped trend model and in 2013 from the Holt model. Within this study, the implications for the Korean food service industry are further discussed. It was predicted there will be a stabilization period in 2008 or 2009 in Korea with achievement of a per capita GDP of $20,000. At this time, major food service industry companies will need to invest in equipment toy external growth and there will be industry trends toward ethnic food and theme restaurants. Also, if a per capita GDP of $30,000 is achieved by 2012 or 2013, the Korean food industry will need to be highly responsive. Therefore, food industry companies should forecast and study customer values and prepare for changes.

• Asia pacific journal of information systems
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• v.29 no.3
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• pp.468-488
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• 2019

As the growth of online travel agencies (hereafter OTAs) accelerates, competition among hotels to gain exposure on the first page of OTA websites, and the financial burden, such as commissions hotels have to pay in return, are increasing. Therefore, to facilitate successful management in the tourism industry, it is important to establish what makes people continue the practice of using OTAs to book rooms in hotels and other accommodation outlets. By adopting the heuristic-systematic model (HSM), this study explores the factors that drive consumers' continued use of OTA and classifies them into heuristic cues (brand awareness, cost saving, and scarcity message) and systematic cues (recommendation quality and the ability to provide reputation). Furthermore, we divided the sample based on the location of hotels within and outside Korea, and investigated the different roles of the cues between two models. The results are expected to provide theoretical and practical implications for both OTAs and hotels.

• The Journal of Information Technology
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• v.5 no.1
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• pp.143-156
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• 2002

Tourist Information Center has been played an important part of role in the promotion of tourism for both inbound and domestic market. The purpose of this paper is to examine the situation of our tourist information centers in context with information and personnel service. As a result we suggested some findings. According to studies, tourism information provided by TIC is critical and decisive for specific travel type and leisure travelers visit TIC more often than the other types of travelers. The specific aspects of tourism information is accuracy and currency which based on the characteristics of intangibility and perishability. According to this encouragement tourism information system should have to shifted to internet basis. This movement enabled tourism industry to make the atmosphere for portal or hub site for the effective operation of this system. The regionally networked system can make it possible to cope with some characteristics of tourism products. Reservations and information retrievals are major function of portal site. The data from suppliers (hotels, restaurants, event organizers, transportation, attractions etc) must be up-dated, controled by regional TIC and the connections should be extended among the regional TICs.

• International Commerce and Information Review
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• v.10 no.1
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• pp.395-414
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• 2008

The objective of this study is to introduce the concepts and theories of conditional heteroscedastic volatility models and the news impact curves and apply them to the Korea inbound tourism market. Three volatility models were introduced and used to estimate the conditional volatility of monthly arrivals of inbound tourists into Korea and news impact curves according to the three models. Results of this study are as follows. As the proportion of American tourists occupied a large amount of Korea inbound tourism market, the markets' forecasting is very important. The news impact curves which used EGARCH model (1,1) and TGARCH model(1,1), with data on these tourists to Korea showed an asymmetry effect of volatility. It was common that bad news means that it was estimated more sensitively than good news. From these results, we will notice that American tourists who visited Korea only for tourism are affected by good news. The result suggests that the Korea government and tourism industry should pay more attention to changes in the tourism environment following bad news because conditional volatility increases more when a negative shock occurs than when a positive shock occurs.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.98-103
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• 2018

Globally, medical tourism draws attention as a national growth engine industry, and is actively expanding. Current medical tourism leans towards large hospitals making it difficult to attract new users. Users collect the information for medical tourism through various paths in order to receive medical consultations and customized tour services. To expand medical tourism to small and medium sized hospitals, it is necessary to have customized medical consultations, tours and interpreter services, which are the key elements of medical tourism. This paper suggests services that users can use to match medical consultations and find tours and interpreters they want at the same time. This paper suggests ways to provide integrated services based on the information experienced by users, combining the required items from the perspectives of each user, hospital and guide. To match the content provided by hospitals and guides with experience information from users systematically, this study suggests the convergence plan for a service model that can match the experience information between users and hospitals, between users and guides and between hospitals and guides systematically by operating the data in the universal container.

• Journal of the Korea Safety Management & Science
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• v.19 no.2
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• pp.147-157
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• 2017

The tourism experience factor is an essential source of competitive advantage in the tourism industry and is an important factor for predicting future tourism behavior. Tourism experience elements can be composed of areas of education, entertainment, aesthetics and deviance (Pine and Gilmore, 1998). This study examines the effect of tourist experience factors on tourist loyalty and it is meaningful to see if the experiential economic theory of Pine and Gilmore (1999) is applicable. In order to achieve the purpose of this study, we conducted a questionnaire survey on tourists using experiential tourism factors. As a result, it was found that recreational experiential factors had a significant effect on memory. Memory has a significant effect on both visitor satisfaction and tourist loyalty. This study has academic significance because it focuses on the tourism experience factor which is the core of experiential economic theory. Practical significance is that a lot of experiential contents should be found in order to better match the tourist experience factor to the requirements of visitors to the tourist site. As a result, it is expected to generate revenue and improve its competitiveness.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.195-203
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• 2019

In this article, it was studied how positive psychological capital in the service industry workers affected the service performances by perfectionism and role conflict in the service industry employees. This was to suggest the practical solutions on the emotional labor or job stress that the existing workers in the service industry were experiencing. Upon the study results, self-efficacy, hope, and resilience among the factors of positive psychological capital showed to affect perfectionism and role conflict while optimism did not. Based on this study, the practices and problems of the workers in the service industry could be understood and it seems to improve and support their working environment to provide better services. In other words, these results mean to enhance the self-efficacy and resilience of the workers in the service industry so as to provide the stakeholders of service industry or related institutions with the basic data.