• 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 Digital Convergence
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• v.11 no.11
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• pp.373-380
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• 2013

Recently, AR(Augmented Reality) system as an information technology for the increased access of information has a potential possibility of next generation's system for tourism guide. In this regard, the objective of this study is to explore the technology acceptance factors of AR system on tourism destination. To achieve the objective of this study, logit regression model was used to analyze the influential level of the factors. This study was analyzed with the final 224 respondents and the results showed that if there will be assured with high trust and easy access via mobility device as smartphone, the AR system has the possibility of high acceptance level. The result of this study will be expected to be utilized as fundamental data from the viewpoint of the service providers and system developers that want to launch the appropriate service to users' needs of AR system.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.313-320
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• 2013

In this study of tourism destination brand equity and self-consistent interstellar significant attachment relationships and brand equity and behavioral intention was to determine the effect on the relationship. First, the tourism destination brand equity of the self-consistent sex tourists will have a significant impact is to test the hypothesis of a multiple regression analysis was conducted brand equity, loyalty, self image and gender matched only indicates the relationship was significant. Second, self Correspondence tourist destination tourists will have a significant effect on attachment. In order to verify the hypothesis that the multiple regression analysis was conducted for self-Correspondence attachment was significantly related shows. Third, the attachment of tourist destinations for travelers of action also will have a significant impact on. Hypotheses multiple regression analysis was conducted to attachment behavior also shows significant relationship was about.

• Korea Science and Art Forum
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• v.19
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• pp.581-592
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• 2015

This study aims to find the significance of the convention-related public organizations workers' cognition about the importance of public marketing activities. As well as to analysize the outcome of convention organization of public marketing activities holding positive, negative effects and the host brands value relationship. In order to strategically maintain the importance of conventions' differentiation marketing and the brands value of exhibition organization, this research is necessary to explore the importance of public marketing activities held by the public value and brand image link here. In this research, On the convention field public marketing activities' arguments were marketing strategy. In order to construct the convention destination's competitiveness and the differentiation of public marketing strategy, it is necessary to investigate the relation of convention organizations' public marketing activities' importance recognization and destination effections, destination brand value. As the results we can propose the implication of public marketing activities can enhance the competitive.

• Culinary science and hospitality research
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• v.22 no.1
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• pp.135-140
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• 2016

Food is widely accepted as very important factor in tourists' experiences by researchers. However, few studies revealed tourists' importance of food for their travel. Therefore, through a case study in Busan (South Korea), this study aims to critically assess the importance of food tourism from domestic tourists' perspectives. In particular, this study assess the relationship between food tourists' value, nutrition information, behavioral intention of tourists' food experiences during their travel. Using SmarPLS program, a quantitative research methodology involving a structured questionnaire has been adopted. The results reveal that food tourists' value and importance of nutrition information plays different roles in food tourism. Food tourism value and nutrition information has shown its importance for increasing revisit intention in Busan. In light of these findings, marketing strategies can be identified to accelerate the development of food tourism at a destination.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.717-726
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• 2021

Tourism is one of the key economic drivers not only in Vietnam but also in the world. This study explores the awareness and perceptions of key stakeholders such as local residents, tourism businesses, and tourists on sustainable tourism development in the Mekong Delta in Vietnam. Both quantitative and qualitative research approaches have been used with the secondary and primary data to provide insights on the subject. The secondary data is from vast sources, including the governmental department of tourism, statistical departments, annual all-level governmental reports, businesses, and others. The primary data is from the survey by questionnaires with 230 enterprises, 720 local residents, and 670 tourists and from the semi-structured and in-depth interviews conducted with local residents, businesses, tourists, local authorities' officers, and especially with 5 experts who are also stakeholders of Mekong Delta tourism. The results will help the related authorities understand the awareness and perceptions of the key stakeholders and deliver valuable information and a concrete delineated roadmap toward sustainable tourism development of the research settings.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.480-502
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• 2022

This work assesses the degree of satisfaction tourists receive as final recipients in a tourism destination based on the fact that satisfied tourists can make a significant contribution to the growth and continuous improvement of a tourism business. The work considers Pokhara, the tourism capital of Nepal as a prefecture of study. A stratified sampling methodology with open-ended survey questions is used as a primary source of data for a sample size of 1019 for both international and domestic tourists. The data collected through a survey is processed using a data mining tool to perform multi-dimensional analysis to discover information patterns and visualize clusters. Further, supervised machine learning algorithms, kNN, Decision tree, Support vector machine, Random forest, Neural network, Naive Bayes, and Gradient boost are used to develop models for training and prediction purposes for the survey data. To find the best model for prediction purposes, different performance matrices are used to evaluate a model for performance, accuracy, and robustness. The best model is used in constructing a learning-enabled model for predicting tourists as satisfied, neutral, and unsatisfied visitors. This work is very important for tourism business personnel, government agencies, and tourism stakeholders to find information on tourist satisfaction and factors that influence it. Though this work was carried out for Pokhara city of Nepal, the study is equally relevant to any other tourism destination of similar nature.

• 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.

• The Journal of Economics, Marketing and Management
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• v.12 no.4
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• pp.87-99
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• 2024

Purpose: This research examines the elements that affect Chinese tourists' trip experiences and behaviors in Japan and South Korea, focusing on destination image, digital engagement, and sustainability practices awareness. Research design, data and methodology: Data were collected from 414 Chinese tourists through an online survey and analyzed conduct confirmatory factor analysis and structural equation modeling. Findings indicate a positive destination image significantly influences revisit intention but not travel satisfaction. Travel satisfaction positively affects revisit intention, while digital engagement and sustainability practices awareness both enhance travel satisfaction. Results: The results highlight the importance of leveraging digital engagement and promoting sustainability practices to boost satisfaction and repeat visits. Conclusions: The study provides practical insights for tourism stakeholders to develop targeted strategies, emphasizing customer service, sustainable practices.

• Journal of Smart Tourism
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• v.3 no.1
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• pp.23-34
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• 2023

Prior research on Extended Reality (XR) has been a starting point for the development of the Metaverse. It is also a concern for researchers in the tourism field since it can enhance the tourist experience. Metaverse Tourism provides a virtual experience of the tourism destination for the users. It is potentially developed and predicted to be the future of tourism, enhancing the tourist experience through communication between humans and avatars and providing a new option for tourists to enjoy leisure activities. Recently, discussion on Metaverse tourism is still emerging, with some open talks from researchers in the intersections between information technology and tourism. This study extends prior studies by proposing six Metaverse tourism elements and categorizing them into core and supporting elements. Then, we analyze the consequences of those elements on the Tourism Experience Journey to enhance each stage with different characteristics. This study can contribute to continuing recent dialogues among scholars on how Metaverse can be applied in the tourism sector by proposing six elements that should be considered in developing and creating Metaverse services.