• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.310-316
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• 2022

The smart tourism service provides services such as travel planning and tour guides to tourists using key technologies of the 4th industrial revolution, such as the Internet of Things, communication infrastructure, big data, artificial intelligence, AR/VR, and drones. We are developing smart tourism services such as recommended travel products, my travel itinerary, tourism information, and chatbots for tourists through the smart tourism app. In this paper, we develop a smart tourism service system that provides real-time location-based tourism information and weather information to tourists. The smart tourism service system consists of a smart tourism app, a smart tourism information system, and an IoT data collection device. The smart tourism information system receives weather information from the IoT data collection device installed in the tourist destination. The location-based smart tourism service is provided as a smart tourism app in the smart tourism information system according to the Beacon's UUID in the IoT data collection device. The smart tourism information system stores the Beacon's UUIDs received from tourists and provides a safe hiking service for tourists.

• Culinary science and hospitality research
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• v.24 no.2
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• pp.44-50
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• 2018

This study investigated if and why there are gulfs between expectations and perceived value for usability. The main objectives of this study are as follows: (a) to examine the differences between expectation and perceived value for usability toward an OTA; and (b) to investigate the reason and purpose for customer visits toward an OTAs. By analyzing the distance between expected and the perceived value for the usability, OTAs can then close this distance and then be able to improve the usefulness of their websites. In addition, after investigating previous evaluation problems, that the various factors that are associated with tourism website evaluations, may be downsized to fit a comprehensive model for website evaluations. The results help to close the gap between expectation and perceived value by helping with the websites design, development, implementation, and management of systems. Based on those findings, effective strategies for OTAs marketing and promotional strategies are suggested.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.771-772
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• 2015

소셜미디어 상 고객들이 쏟아내는 말을 실시간으로 분석, 조사하는 방법으로 버즈 모니터링 이라는 시스템을 이용하여 웹상의 다양한 정보를 자동으로 검색하고 수집하고 있다. 본 논문에서는 여행사에 관해 소셜 미디어 상의 빅 데이터를 이용하여 보다 정확하고 효율적인 정보 수집과 분석이 가능하도록 하기위한 분석 모델을 제안하고 실제 국내 여행사에 관해 비교 분석한다. 먼저 여행사별 인지도,이미지와 선호도 분석을 하고 관광관련 상품과 서비스에 대한 분석과 함께 소비자 분석으로서 관광의 목적, 동행인 등 소비자의 생활패턴에 대한 분석을 한다. 또한 여행사 관련 영향력자 경향을 트위터 상에서 살펴본 결과 해당 여행사 이용경험자와 관련 뉴스를 제공하는 언론, 이벤트에 관심 있는 사용자들로 유형화 할 수 있었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.861-863
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• 2016

대부분의 기업은 경영전략을 결정하는데 고객의 소리(VOC:Voice of Customer)를 매우 중요한 정보로 사용하고 있기 때문에 기업들은 다양한 방법으로 고객과의 관계증진을 위해 VOC 데이터를 이용하고 있다. 그러나 수집된 내부VOC 데이터에서 많은 정성적인 데이터를 포함하고 있으므로 분석하는 데는 한계가 있다. 본 논문에서는 최근 소셜 빅 데이터를 분석하는데 사용하고 있는 시스템을 이용하여 다른 업종에 비해 고객이 다양하고 서비스가 매우 중요한 여행사 내부 VOC를 분석한다. 적용 사례로서 국내 대표적인 여행사에 직접 적용하여 분석한 결과를 제시한다. 본 연구 결과 빅 데이터 분석 도구를 다른 서비스업종의 내부 VOC의 정성적인 데이터를 분석하는데 활용할 수 있는 가능성을 보여주었다고 사료된다.

• ETRI Journal
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• v.46 no.3
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• pp.473-484
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• 2024

We introduce a machine learning-based web application to help travel agents plan a package tour schedule. K-nearest neighbor (KNN) classification predicts the optimal tourists' dwelling time based on a variety of information to automatically generate a convenient tour schedule. A database collected in collaboration with an established travel agency is fed into the KNN algorithm implemented in the Python language, and the predicted dwelling times are sent to the web application via a RESTful application programming interface provided by the Flask framework. The web application displays a page in which the agents can configure the initial data and predict the optimal dwelling time and automatically update the tour schedule. After conducting a performance evaluation by simulating a scenario on a computer running the Windows operating system, the average response time was 1.762 s, and the prediction consistency was 100% over 100 iterations.

• Journal of agricultural medicine and community health
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• v.34 no.3
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• pp.368-374
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• 2009

Objectives: A group consisted of 32 Korean rural people had been travelled to Cambodia and Vietnam. During their travel for 7 days, first diarrheal case had occurred on 3rd day of travel and overall 8 people had diarrhea during travel. So we investigated the case for determination of the cause and route of infection. Methods: We interviewed all 32 people by visiting or telephone and took 23 stool samples from them, which are examined by Gyeungsangbuk-do Government Public Institute of Health & Environment in Korea. We interviewed travel agency for travel route and schedule. Results: The attack rate was 25.0% (8 cases) among 32 people. Of them, 3 cases were microbiologically confirmed to have the infection of Shigella flexneri (Serotype 3a). The result of this epidemiological investigation showed that the infection of shigellosis was happened in foreign countries. We assumed the water from Angkor-Watt was contaminated by S. flexneri. We could not able to test environmental specimens because of the infection is thought to be occurred in foreign countries. Conclusions: Most common infectious diseases from foreign countries are transmitted by water or food. Travellers to foreign countries must take caution for communicable diseases and must do report and get appropriate treatment when symptoms developed after travel.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.259-273
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• 2008

This study aims to identify of customer features control the effect on revisit intention and switching intention. The statistical techniques used for this empirical analysis are frequency analysis, technology analysis, reliability analysis, factor analysis, confirmatory factor analysis along with path analysis and moderate regression analysis, which are based on structural model From the effect that customer features control the effect on switching barrier by switching intention, travel agencies has a control effect on 'financial switching costs' and 'relational switching costs', and airlines show they have control effect on 'relational switching costs.' In diversity pursuit factors, 'financial switching costs' and 'attractiveness of alternatives' have a meaningful control effect for travel agencies customers, while 'procedural switching costs' for airlines customers. In the analysis result of the effect that customer features control the effect on revisit intention by switching intention, 'percept' and 'diversity pursuit' have a meaningful control effect in travel agencies customers and airlines one, respectively.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.507-514
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• 2015

There is an increasing awareness about the abusive supervision(AS) and organizational silence(OS) in organizations and literature about the relation between organizational commitment(OC). But there is a shortage of studies about the abusive supervision and organizational silence in travel service. The purpose of this study is to research reasons of abuse supervision in organizations, its effects, results and applications which can minimize or remove abusive supervision by discussion. In this sense, Questionnaires were delivered 9 travel agencies in Seoul and 241 of them were taken. Questionnaire data was analyzed, and according to the results, some implications were proposed. Abusive supervision affects on organizational silence and organizational commitment of employee in travel agent. Organizational silence ha positive effects on organizational commitment. Organizational silence plays as a role of mediator variable in proposal research model. It is hoped that the present research will encourage future multi-level theoretical and empirical work on abusive supervision.

• The Journal of Information Systems
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• v.31 no.2
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• pp.263-288
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• 2022

Purpose Recently, the tours and activities (TAA) market provided by online travel agencies (OTA) has grown rapidly and has become the third-largest in the travel industry. However, compared to its practical proliferation, TAA has not yet received much academic attention. This study aims to discuss the effect of the four domains (e.g., educational, entertainment, escapist, and esthetic experiences) of the experience economy on users' memorable tourism experiences (MTE), satisfaction, and loyalty in the context of TAA. Moreover, the study investigates how this mechanism varies depending on the tour guides' professional competency. Design/methodology/approach This study developed a research model based on the S-O-R framework. Using the survey method, data were collected from consumers who had experienced TAA offered by OTA more than once within one year. A total of 307 respondents (consumers) were used for the final analysis, and developed hypotheses were tested using a structural equation model technique. Findings The results of this study are as follows. First, educational, entertainment, and escapism experiences in the experience economy positively affect MTE. Second, within the experience economy, entertainment and esthetic experiences have a positive effect on satisfaction. Third, MTE positively influences satisfaction, repurchase intention, and recommendation intention. Fourth, satisfaction has a positive impact on repurchase and recommendation intentions. Finally, according to the level of tour guides' professional competency, there is a significant difference in the effect of escapism experience on MTE/satisfaction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.573-576
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• 2014

In this paper, it provides social network service using context-aware for tourism. For this the service requires Anthropomorphic natural process. The service object need to provide the function analyzing, storing and processing user action. In this paper, it provides an algorithm to analysis with personalized context aware for users. Providing service is an algorithm providing social network, helped by 'Friend recommendation algorithm' which to make relations and 'Attraction recommendation algorithm' which to recommend somewhere significant. Especially when guide is used, server analysis history and location of users to provide optimal travel path, named 'Travel path recommendation algorithm'. Such as this tourism social network technology can provide more user friendly service. This proposed tour guide system is expected to be applied to a wider vary application services.