• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1162-1181
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• 2023

Tourism flow is not only the manifestation of tourists' special displacement change, but also an important driving mode of regional connection. It has been considered as one of significantly topics in many applications. The existing research on tourism flow prediction based on tourist number or statistical model is not in-depth enough or ignores the nonlinearity and complexity of tourism flow. In this paper, taking Nanjing as an example, we propose a prediction method of urban tourism flow based on deep learning methods using travel diaries of domestic tourists. Our proposed method can extract the spatio-temporal dependence relationship of tourism flow and further forecast the tourism flow to attractions for every day of the year or for every time period of the day. Experimental results show that our proposed method is slightly better than other benchmark models in terms of prediction accuracy, especially in predicting seasonal trends. The proposed method has practical significance in preventing tourists unnecessary crowding and saving a lot of queuing time.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.607-624
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• 2018

Purpose: The purpose of this study is to present the success of cultural tourism service as visitor loyalty to service and to present the cultural attribute evaluation attribute (HISTOQUAL), experiential flow and tourism satisfaction as determinants effecting loyalty through literature review. Based on this, this study aims to suggest academic and practical implications for revitalizing cultural tourism services and enhancing competitiveness. Methods: This study collects data from visitors to cultural heritage tourist sites and analyzes them empirically. This study conducted a small preliminary sample survey to improve the reliability and validity of the measurement tool, and revised and supplemented the measurement tool on the basis of it. The data collected in this study were analyzed using SPSS 22.0 and the hypothesis was verified through the analysis. Results: The results of this study are as follows; First, the service quality of cultural heritage tourism has a positive effect on the experience flow. Second, the service quality of cultural heritage tourism partially effects tourism satisfaction. Third, it was shown that the experience flow of tourists have a positive effect on tourism satisfaction. Fourth, the experience flow of tourists and tourism satisfaction have a positive effect on loyalty to tourist destination. Conclusion: According to this study, it is the meaning of this study that the cultural tourism service is understood as a attractive factor and based on this, the strategic direction for the activation of cultural tourism service is suggested.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.389-398
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• 2022

Recently, tourism and leisure related VR contents have gained attention of potential tourists. Therefore, this study aimed to analyze investigate the effects of 360-degree VR tourism contents motivations, flow, continuance usage intention on visit intention for Chinese student in Korea. This study found that hedonic benefit and personal benefit exerted a positive influence on visit intention of contents users. However, vividness and usability did not influence on visit intention. Moreover, flow exerted a significant influence on visit intention but continuance usage intention did not influence on visit intention. The study is significant in shedding light on whether the motivations, flow, continuance usage intention of 360-degree VR tourism contents influences visit intention. It is suggested that the consumption of 360-degree VR tourism contents can be a useful marketing tool for strength of intention to visit.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.243-251
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• 2021

The goal of this study is to examine the characteristics of Chinese visitors visiting Thailand, determine the rules, and give a reference for Thai tourism authorities and businesses when developing marketing strategies for the Chinese market. This paper constructs the tourism flow network and takes Bangkok as the major research target. The statistical characteristics of the network are studied using the SNA method, based on the trip notes of Thailand on www.mafengwo.cn, a prominent travel website in China as the data source. The results show that: Shanghai, Beijing, and Tianjin occupy important positions in the network; The flow direction of Chinese tourists to Thailand mainly tends to Bangkok, Chiang Mai, Pattaya, and Phuket Island; Grand Palace have strong tourism flow aggregation, diffusion, and control over other nodes in the whole network structure; Tom Yu Kuang has the greatest degree centrality in all Thai cuisine. The findings of the study can help relevant management departments create tourist policies and modify market strategies by developing the regular characteristics of China's tourism flow to Thailand in the theoretical field.

• The Journal of Information Systems
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• v.33 no.2
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• pp.237-264
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• 2024

Purpose This study explores the impact of tourism live commerce on consumer participation intention. Utilizing Stimulus-Organism-Response (S-O-R) framework and situation theory, the study is to identify the features and situational factors of tourism live commerce and to investigate their impact on flow experience, perceived value, and participation intention. Design/methodology/approach A theoretical model is developed and validated through a survey, adopting PLS-SEM approach. A self-administered questionnaire was developed and distributed via Wenjuanxing, the largest online survey platform in China, in October 2022, resulting in 361 valid responses. Findings The results reveal significant effects of features and situational factors of tourism live commerce on consumer behavior, enhancing the understanding of tourism live commerce and extending the S-O-R framework in this context. The study offers both theoretical contributions and practical implications, providing valuable insights for managers to improve consumer engagement in tourism live commerce.

• International Journal of Advanced Culture Technology
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• v.9 no.2
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• pp.80-85
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• 2021

This study is to analyze the structure of the networks of tourism marketing on Twitter, identifying the most prominent users, the flow of information about tourism marketing, and the interaction between the users posting tweets. This study employs NodeXL pro as a visualization software package for social network analysis. The number of vertices or nodes is 171, and the number of the unique edges or links is 128, but there are 101 edges with duplicates, so the total links are 229, which means that there are fewer Twitter accounts in the social network on tourism marketing, but they have a few close relationships by sharing information. The research can map the social network of communicators of tourism marketing using Twitter data. The network has a complicated pattern, including one independent network and some connected networks. Some mediators connect each network and can control the information flow of tourism marketing. More communicators are getting the information than the ones providing it, which means that there is likely to be the dependence of information among communicators that can cause an obstacle and distortion of the information flow system, especially in the independent network.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.137-147
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• 2019

This paper studies the effect of content information quality of u-tourism information system on flow theory and satisfaction. The purpose of the research is to generate and propose flow-related information to satisfy tourists with content information quality. The meaning of this paper is to derive success factors for verifying satisfaction of content information quality to tourists, establish hypotheses as research models, and evaluate verification. The differentiation of this study is the design implementation of u-fusion tourism information system by combining flow relation information with flow theory. The contribution of this paper is the generation of flow related information and the elicitation of success factors of contents quality of u-tourism information system. The advantage is that tourists can be patterned by symbolization and the pattern can be illustrated. The limitations of this paper are limited to small areas, and the lack of objectivity is required and future tasks are needed to compensate for them.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.111-119
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• 2020

This study takes Chinese independent tourists to South Korea as the research object, mines the data of tourists' digital footprints from online travel notes, and analyzes the characteristics of the tourism flow of Chinese independent tourists to South Korea by using the method of quantitative statistics and social network analysis(SNA). The results show that Seoul, Jeju Island, Busan and Daegu are the important tourist destinations for Chinese independent tourists entering South Korea. In addition, Qingdao, Tianjin, Shenyang, Hong Kong, Foshan and Macao are crucial hubs for Chinese independent tourists to visit South Korea. In future studies, the number of sample data should be increased. The time span of data collection should be extended for studying the annual variation characteristics of tourism flow and the trend of tourism hot spots.

• The Journal of Fisheries Business Administration
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• v.48 no.3
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• pp.75-90
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• 2017

The ocean is used as the term of sea, it is expressed as a large sea. Marine tourism is an activity that takes place in the sea and on the coast. Many experts prospect that the 21st century will be the century of ocean. In recent years, many countries are interested in ocean and marine tourism can be significantly developed in the future. Jeju Island is an island formed by a volcanic eruption, which has a very high landscape value, and It is an oceanic climate with a yearly high temperature due to turbulent flow throughout the years, But Marine tourism is not developed. The purpose of this study is clarify the Marine Tourism activity types, Marine Tourism satisfaction and revisit intention of Chinese Tourists visiting JeJu island. And studies what is the needed activity types of Chinese Marine Tourist in future. This study deals with on the activity types, satisfaction and revisit intention of JeJu Marine Tourism With 252 effective responses gathered from an onsite survey. The statistical analysis of the data was conducted using techniques of frequency analysis, t-test and anova analysis.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.488-497
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• 2013

The purpose of the study was to investigate the relationship between the degree of participation and flow for participants in ground, water, and air leisure sports-based tourism activities. A total of 437 participants' data was employed for the analyses (one-way ANOVA and multiple regression analysis) using SPSS Win 18.0 program. Main findings are as follows; First, there were differences in clear goals, transformation of time, loss of self-consciousness, challenge-skill balance, autotelic experience, unambiguous feedback, and sense of control out of flow dimensions based on types of leisure sports-based tourism activities. Second, participation period and frequence had positive effects on flow. Specifically, period had an influence on challenge-skill balance. clear goals: frequence had an effect on challenge-skill balance, transformation of time, clear goals, autotelic experience, unambiguous feedback, and sense of control: intensity had an influence on transformation of time and autotelic experience.