• Journal of Digital Convergence
• /
• v.12 no.1
• /
• pp.115-125
• /
• 2014

The purpose of this study is to examine the impact relation among the visitor satisfaction, it's antecedents and the modification of images of Korea perceived by Chinese and Russian Tourists after their visits to Korea. According to the data analysis, the satisfaction of Russian tourists is higher than that of Chinese tourists within statistical significance. The result produced by structural equation model shows that the satisfaction of Chinese tourists is affected by destination attractiveness, public order, shopping, food and accommodations positively. Especially the public order and shopping of Korea are relative major attributes. In comparison, the satisfaction of Russian tourists is affected by only destination attractiveness, public order and food positively. Then again, the impact relation between overall satisfaction and the modification of images of Korea perceived by tourist visited Korea is affected positively within statistical significance.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.11 no.10
• /
• pp.1957-1967
• /
• 2007

User can be offered various information form internet and reserve. However this operation is hard to be satisfied with user's requirement. Because it offer the alternative by self-mediation and the place where offer the information is distributed and a form or stored f[nm of data would be different. These cases occurred in change of enterprise recently. In a process of M&A, outsourcing or cooperation. necessity of new strategy become a pressing issue for ensuring interoperability on application, database of each enterprise and integration information management. Thus, interoperability of distributed data is a base condition for cooperation of legacy system, it will solve a problem such as available or clarity of data, problem of cooperation system. This paper use a XMDR for integration of distributed system and ensuring interoperability. By using XMDR, integrate a traveling information system and it will be solve the problem of interoperability and variety data problem that be occurred in integration of data by suggesting a technique of transaction management.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2006.11a
• /
• pp.599-617
• /
• 2006

A network model and a Genetic Algorithm(GA) is proposed to solve the simultaneous estimation of the trip distribution and traffic assignment from traffic counts in the congested networks in a logit-based Stochastic User Equilibrium (SUE). The model is formulated as a problem of minimizing the non-linear objective functions with the linear constraints. In the model, the flow-conservation constraints of the network are utilized to restrict the solution space and to force the link flows meet the traffic counts. The objective of the model is to minimize the discrepancies between the link flows satisfying the constraints of flow-conservation, trip production from origin, trip attraction to destination and traffic counts at observed links and the link flows estimated through the traffic assignment using the path flow estimator in the legit-based SUE. In the proposed GA, a chromosome is defined as a vector representing a set of Origin-Destination Matrix (ODM), link flows and travel-cost coefficient. Each chromosome is evaluated from the corresponding discrepancy, and the population of the chromosome is evolved by the concurrent simplex crossover and random mutation. To maintain the feasibility of solutions, a bounded vector shipment is applied during the crossover and mutation.

• Journal of Korea Entertainment Industry Association
• /
• v.15 no.4
• /
• pp.1-13
• /
• 2021

In this study, we tried to present suggestions to the Gyeongsangbuk-do tourism officials to satisfy them with experiential tourism resources and to revitalize their participation in the program. Therefore, the implications of this study are as follows. First, research on the satisfaction of experiential tourism programs and the willingness to participate in them is carried out, suggesting that it is a prerequisite for the transformation of the perception of tourists' participation in the Corona era. Second, it is necessary to make it a small experience tourist space that can provide non-face-to-face service utilizing the characteristics of contact technology, and to provide tourists with unique attractions against product discrimination and customer service. Third, through the introduction of non-face-to-face experience programs and expansion of services, the limited and macroscopic environment and social phenomenon of tourism activities in the Corona era, a new perception can be instilled. Fourth, visitors can expect to revitalize the tourism industry through the development and discovery of various programs. Thirdly, it will be possible to revitalize the local economy by giving meaning to the satisfaction of experiential tourism programs to tourists from all over the region's tourism business.

• Information Systems Review
• /
• v.25 no.1
• /
• pp.233-255
• /
• 2023

The development of information technology(IT) has brought so-called "online experience" to satisfy our daily needs. The market for online experiences grew more during the COVID-19 pandemic. Therefore, this study attempted to analyze how the features of online experience services affect customer satisfaction by crawling structured and unstructured data from the online experience web site newly launched by Airbnb after COVID-19. As a result of the analysis, it was found that the structured data generated by service users on a C2C online sharing platform had a positive effect on the satisfaction of other users. In addition, unstructured text data such as experience introductions and host introductions generated by service providers turned out to have different subjectivity scores depending on the purpose of its text. It was confirmed that the subjective host introduction and the objective experience introduction affect customer satisfaction positively. The results of this study are to provide various implications to stakeholders of the online sharing economy platform and researchers interested in online experience knowledge management.

• Journal of Korean Institute of Industrial Engineers
• /
• v.43 no.1
• /
• pp.62-71
• /
• 2017

In order to attract foreign tourists, it is important to understand what factors on domestic tour spots are critically considered and how they are evaluated after visit. However, most of the researches on tour business have collected information from tourists through survey on a small number of tourists, which leads to inaccurate and biased conclusion. In this paper, we suggest a data-driven methodology to figure out tourists' satisfaction factors and estimate sentiment scores on them. To do so, we collected review comments data from popular web site. Latent dirichlet allocation is employed to extract key factors and elastic net is used to estimate sentiment scores. Then, an aggregated evaluation score is generated by combining the factors and the sentiment scores per topics. Our proposed method can be used to recommend travel schedules with themes and discover new spots.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.23 no.4
• /
• pp.133-139
• /
• 2015

1983년에 중국 정부가 자국민의 해외 여행을 허가한 이래, 중국의 아웃바운드 해외 관광 시장은 비약적으로 발전하였다. 대한민국은 이러한 현상의 최대 수혜 국가 중 하나가 되었으며, 항공운송 분야에 있어 특히 혜택을 보았다. 현재 인천국제공항의 전체 이용객 중 23.9%가 중국인이며, 추후에도 중국여객들이 인천국제공항의 주요한 고객으로 남을 것으로 전망된다. 중국의 광활한 영토와 13억이 넘는 인구를 고려할 때, 중국을 하나의 시장으로만 보는 것이 아니라 여러 지역들이 모인 집합체로 바라볼 필요성이 제기된다. 이렇게 할 시, 각 지역마다 다른 중국여객들이 공항 이용에 있어 보이는 태도와 행동양상의 차이점을 파악하여, 차별화된 서비스 제공의 밑바탕이 될 수 있다. 이를 통하여 중국여객들의 인천국제공항 이용 시 고객 가치와 만족도의 향상에 기여할 수 있다. 본 연구는 중국 정부가 경제, 사회 등의 요소를 고려하여 공인한 방식대로 중국 전체를 다섯 개의 권역으로 분할하여 중국여객들이 인천국제공항 이용에 있어 느끼는 만족도를 조사하고자 한다. 특별히 면세점 이용과 관련된 만족도에 중점을 두고자 한다. 권역별로 지니는 차이점을 분석하여, 권역별로 상이한 서비스 전략을 추진하기 위한 전략적 방향성을 제시한다.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.21 no.4
• /
• pp.112-118
• /
• 2013

Air travel demand has recently been growing and establishment and operation of low-cost carriers have been increased. Against this backdrop, low-cost carriers need to figure out diversified customer demand for low-cost carriers and ways to maximize marketing efficiency before applying it to the field so that they can attain superiority to large carriers in increased intensified competition. Low-cost carriers need to be differentiated from other carriers for the purpose of improving profits. Toward this end, this study conducted analysis on importance and satisfaction with carrier choice using IPA with regard to low-cost carrier customers. In conclusion, the paper accurately examined advantages and disadvantages of low-cost carriers compared to general carriers based on results of IPA analysis and suggested managerial strategies to enhance competitiveness based on division into four parts including maintenance and enforcement (1st quadrant, Delay compensation, Booking rapidity, Check rapidity, Crew service, refund service, baggage service, punctuality, transit services, airlines images), concentrated improvement (2nd quadrant, price, Convenience of seat), passive administration (3rd quadrant, Boarding service, cabin cleanliness, flight schedule, whether local crew on board, meal service, in-flight entertainment service), and enhanced satisfaction (4th quadrant, duty-free service, Variety of routes), so that practical suggestions could be presented to employees working in the field.

• Journal of Service Research and Studies
• /
• v.9 no.3
• /
• pp.17-38
• /
• 2019

With recent dispersion of sharing economy, consumption culture of sharing, instead of ownership, gets wide spread in the age groups of 20-30. Even though the market of car sharing expands rapidly, little research has been done in the area of service quality and consumer behavior regarding car sharing services. Given that future market potential gets larger, it seems highly meaningful to conduct research on customer satisfaction and their usage behavior regarding car sharing services. This paper intends to analyze main factors affecting overall customer satisfaction on car sharing services; satisfaction on service quality, satisfaction on service product, and satisfaction on service experience. Each dimension of the three factors is also analyzed to see if there is any differences between major three brands. Further analysis has been done for checking any effects of gender and usage purpose of customers on the overall customer satisfaction. Key results of the analysis show all the three main factors have significant effect on overall customer satisfaction. Each dimension of service quality has significant effect on satisfaction on service quality. Dimensions of parking lot accessability and vehicle maintenance in service product evaluation, have greater effect on satisfaction on service product. In service experience, positive affect have greater effect than negative affect on satisfaction on service experience. Women users perceive larger overall customer satisfaction on car sharing services than men users. On the types of usage purpose, Users with purpose of tour and dating/meeing friends perceive larger overall customer satisfaction on car sharing services than user without it. Further managerial implications of car sharing services are also provided.

• Journal of Intelligence and Information Systems
• /
• v.24 no.2
• /
• pp.149-169
• /
• 2018

Korea is currently accumulating a large amount of data in public institutions based on the public data open policy and the "Government 3.0". Especially, a lot of data is accumulated in the tourism field. However, the academic discussions utilizing the tourism data are still limited. Moreover, the openness of the data of restaurants, hotels, and online tourism information, and how to use SNS Big Data in tourism are still limited. Therefore, utilization through tourism big data analysis is still low. In this paper, we tried to analyze influencing factors on foreign tourists' satisfaction in Korea through numerical data using data mining technique and R programming technique. In this study, we tried to find ways to revitalize the tourism industry by analyzing about 36,000 big data of the "Survey on the actual situation of foreign tourists from 2013 to 2015" surveyed by the Korea Culture & Tourism Research Institute. To do this, we analyzed the factors that have high influence on the 'Satisfaction', 'Revisit intention', and 'Recommendation' variables of foreign tourists. Furthermore, we analyzed the practical influences of the variables that are mentioned above. As a procedure of this study, we first integrated survey data of foreign tourists conducted by Korea Culture & Tourism Research Institute, which is stored in the tourist information system from 2013 to 2015, and eliminate unnecessary variables that are inconsistent with the research purpose among the integrated data. Some variables were modified to improve the accuracy of the analysis. And we analyzed the factors affecting the dependent variables by using data-mining methods: decision tree(C5.0, CART, CHAID, QUEST), artificial neural network, and logistic regression analysis of SPSS IBM Modeler 16.0. The seven variables that have the greatest effect on each dependent variable were derived. As a result of data analysis, it was found that seven major variables influencing 'overall satisfaction' were sightseeing spot attraction, food satisfaction, accommodation satisfaction, traffic satisfaction, guide service satisfaction, number of visiting places, and country. Variables that had a great influence appeared food satisfaction and sightseeing spot attraction. The seven variables that had the greatest influence on 'revisit intention' were the country, travel motivation, activity, food satisfaction, best activity, guide service satisfaction and sightseeing spot attraction. The most influential variables were food satisfaction and travel motivation for Korean style. Lastly, the seven variables that have the greatest influence on the 'recommendation intention' were the country, sightseeing spot attraction, number of visiting places, food satisfaction, activity, tour guide service satisfaction and cost. And then the variables that had the greatest influence were the country, sightseeing spot attraction, and food satisfaction. In addition, in order to grasp the influence of each independent variables more deeply, we used R programming to identify the influence of independent variables. As a result, it was found that the food satisfaction and sightseeing spot attraction were higher than other variables in overall satisfaction and had a greater effect than other influential variables. Revisit intention had a higher ${\beta}$ value in the travel motive as the purpose of Korean Wave than other variables. It will be necessary to have a policy that will lead to a substantial revisit of tourists by enhancing tourist attractions for the purpose of Korean Wave. Lastly, the recommendation had the same result of satisfaction as the sightseeing spot attraction and food satisfaction have higher ${\beta}$ value than other variables. From this analysis, we found that 'food satisfaction' and 'sightseeing spot attraction' variables were the common factors to influence three dependent variables that are mentioned above('Overall satisfaction', 'Revisit intention' and 'Recommendation'), and that those factors affected the satisfaction of travel in Korea significantly. The purpose of this study is to examine how to activate foreign tourists in Korea through big data analysis. It is expected to be used as basic data for analyzing tourism data and establishing effective tourism policy. It is expected to be used as a material to establish an activation plan that can contribute to tourism development in Korea in the future.