• The Journal of Industrial Distribution & Business
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• v.11 no.5
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• pp.45-52
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• 2020

Purpose: In the 4th industrial revolution, services that incorporate various smart technologies in the tourism sector have begun to gain popularity. Accordingly, academic discussions on smart tourism have also started to become active in various fields. Despite recent research, the definition of smart tourism is still ambiguous, and it is not easy to differentiate its scope or characteristics from traditional tourism concepts. Thus, this study aims to analyze the perception of smart tourism exposed online to identify the current point of smart tourism in Korea and present the research direction for conceptualizing smart tourism suitable for the domestic situation. Research design, data, and methodology: This study analyzes the perception of smart tourism exposed online based on 20,198 news data from portal sites over the past six years. Data on words used with smart tourism were collected from the leading portal sites Naver, Daum, and Google. Text mining techniques were applied to identify the social awareness status of smart tourism. Network analysis was used to visualize the results between words related to smart tourism, and CONCOR analysis was conducted to derive clusters formed by words having similarity. Results: As a result of keyword analysis, the frequency of words related to the development and construction of smart tourism areas was high. The analysis of the centrality of the connection between words showed that the frequency of keywords was similar, and that the words "smartphones" and "China" had relatively high connection centrality. The results of network analysis and CONCOR indicated that words were formed into eight groups including related technologies, promotion, globalization, service introduction, innovation, regional society, activation, and utilization guide. The overall results of data analysis showed that the development of smart tourism cities was a noticeable issue. Conclusions: This study is meaningful in that it clearly reflects the differences in the perception of smart tourism between online and research trends despite various efforts to develop smart tourism in Korea. In addition, this study highlights the need to understand smart tourism concepts and enhance academic discussions. It is expected that such academic discussions will contribute to improving the competitiveness of smart tourism research in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.107-116
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• 2012

The purpose of this study is to identify the impact on the tourism satisfaction of development approach factors in cultural tourism destination. Based upon the results of empirical analysis, the development approach factors in cultural tourism destination such as tourism convenience, tourism activity, tourism potentiality, tourism resources value have high significant correlation with tourism satisfaction. The priority order sets of the impact on the tourism satisfaction of development approach factors in cultural tourism destination should be related to the tourism benefit, the tourism activity, and the tourism resources value. And they can be used to promote the efficiency of cultural tourism development.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.209-218
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• 2022

To study hotels related to early modern cultural heritage, this study has, first, attempted a historical approach through literature analysis and established an early modern hotel development history. Second, it has strived to suggest tourism industrial utilization measures by studying tourism industrial utilization cases through materials on the restoration of Daebul Hotel and interviews with related parties. Consequently, the researcher offers the following as tourism industrial revitalization measures for the restoration of early modern hotels. First, restoration plans for early modern hotels from early modern heritage in each region should be made on the basis of thorough examination of justifiability and of content development plans. Second, restoration of early modern hotels in each region requires the establishment and intent of an administrative management system by local governments. Third, restoration of early modern hotels is a thing of historical significance and value and should be promoted as a business that can contribute to revitalization of tourism and economic effects, acceleration of employment, etc., in each region. Fourth, preparation of a consistent, proactive advertisement methods regarding the restoration of early modern hotels is necessary.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3777-3784
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• 2011

This paper examines into the influence of the public servants' perception of tourism industry on their understanding of importance of the tourism industry. For a study, the positive analysis was carried out which the public servants' perception of tourism industry was different in accordance with the satisfaction of tourism policy. The result of the analysis showed that the benevolent influence of the public servants' perception of tourism industry had a significant effect on the satisfaction of tourism policy and the cost of tourist influence had no significance of itself. It has been shown that both the influence of the public servants' perception of tourism effect on their understanding of importance of the tourism industry and that of the benevolence of the tourist influence on the understanding for the importance of tourism industry showed had plus(+) effects. Especially, it has been shown that the influence of the cost of tourist effect on the understanding for the importance of tourism industry had a minus(-) effect.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.579-586
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• 2021

This study examines the application of big data and tasks of tourism based on the case of Jeju Special Self-Governing Province, which used big data for regional tourism policy. Through the use of big data, it is possible to understand rapidly changing tourism trends and trends in the tourism industry in a timely and detailed manner. and also could be used to elaborate existing tourism statistics. In addition, beyond the level of big data analysis to understand tourism phenomena, its scope has expanded to provide a platform for providing real-time customized services. This was made possible by the cooperative governance of industry, government, and academia for data building, analysis, infrastructure, and utilization. As a task, the limitation of budget dependence and institutional problems such as the infrastructure for building personal-level data for personalized services, which are the ultimate goal of smart tourism, and the Personal Information Protection Act remain. In addition, expertise and technical limitations for data analysis and data linkage remain.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.2
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• pp.598-604
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• 2013

This research the impacts of the tourism service quailty to the beahvioral intentions and loyalty to the results are as follow. Study results showed that the quality and behavior of tourist loyalty significantly affecting. Through these results, first, we could suggest one for the tourist to improve the quality of future loyalty to the new material could present on the tourist destination of Cheongbuk. Second, applied quality is important to know was intangible goods such as tourism and tourism quality as new research on the tourist destination of Cheongbuk. These results can be presented to expand the coverage associated with the quality of the tourist academically based. Tourist destination of industrial brand strategy was able to give many implications.

• Journal of Agricultural Extension & Community Development
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• v.26 no.1
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• pp.17-30
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• 2019

Tourism motivation and involvement are important variables influencing visitors satisfaction. The study aims to identify the factors influencing visitors' satisfaction. Particularly, the study examine the moderating effects on tourism involvement between tourism motivation and visitors' satisfaction. Data were collected from 430 usable questionnaires among visitors of Gigisi local festival. Results of a factor analysis yielded three dimensions of tourism motivation which are family and local food, recreation and escape, and social factor. Results show that social factors among three dimensions of sense of community have significance for visitors satisfaction. And tourism involvement has a negative interactional effects as a moderator between recreation and escape motivation and involvement. It means that even though higher recreation and escape motivation, less likely to have visitors satisfaction if visitors have higher involvement in local festival. It was suggested that tourism motivation and involvement should be considered in local festival management and policy.

• Industrial Engineering and Management Systems
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• v.16 no.1
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• pp.103-108
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• 2017

Tourism is a sector that plays an important role in the economic growth of Indonesia. Bandung as the capital of West Java province is known as the city with diverse tourism potential, both in the attractiveness of the city and surrounding natural beauty. DHR is a three stars resort hotel in the city with a strategic location. As a three stars resort hotel, DHR has been experiencing occupancy rate problems, consequently, it cannot often reach the set targets, both during high season and low season. The purpose of this study is to identify the factors of hotel performance that influences consumer staying back decision in the future. Questionnaires have been distributed to hotel guests to gather information regarding their interest and the performance assessment of the hotel services and facilities, and staying back decision in the future. Discriminant Analysis and Hypothesis Testing are used to determine which hotel performance variables will directly affect consumer staying back decision. The result of this study provide marketing strategy that should be implemented by the hotel management in order to increase its occupancy rate.

• Journal of Multimedia Information System
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• v.5 no.1
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• pp.21-26
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• 2018

Recently, data analysis technology through artificial intelligence is attracting major attention in various industrial fields. In addition, with the increase in personal income, nowadays, the importance of heterogeneous leisure life is becoming more prominent. However, there is a problem that the tourism industry is not out of the traditional service framework. For the ultimate development of the tourism industry, it is time to provide more scientific and systematic tourism services. In this paper, various data analysis techniques in the field of computer science are applied to the field of tourism to realize next generation tourism services. To this end, the scope of this study is limited to the aviation service, and a natural ecosystem of the aviation industry for future-oriented services of aviation tourism that can improve the efficiency of aviation service gradually is established. The proposed method effectively solves the problems of traditional aviation services through data analysis techniques with artificial intelligence techniques in computer science. We expect that it will enhance the customized satisfaction of customers through personalized service and foster loyal customers in aviation companies through the method proposed.

• 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.