• Journal of Smart Tourism
• /
• v.1 no.4
• /
• pp.31-42
• /
• 2021

Commercial space tourism is being developed and this trend is expected to continue and accelerate. Although opportunities and threats of space tourism attracted the interest of academia, literature on potential demand, attitudes and people's motivations for space tourism is scarce. In this context, this paper investigates young generations' interest and motivations towards different forms of space tourism. The cluster analysis on 2,207 respondents highlighted an interest in space tourism although motivated by different reasons, levels of budget and sustainability aspects. Interest in space tourism varies according to how far it is perceived as potential, possible or sustainable, or to people's personal feelings. The paper adds to contributions in the tourism field by investigating the opportunities space can offer this industry.

• International Journal of Internet, Broadcasting and Communication
• /
• v.8 no.4
• /
• pp.39-47
• /
• 2016

This study is a smart tourism research based on face recognition applied system that manages individual information of foreign tourists to smartphone. It is a way to authenticate by using face recognition, which is biometric information, as a technology applied to identification inquiry, immigration control, etc. and it is designed so that tourism companies can provide customized service to customers by applying algorism to smartphone. The smart tourism system based on face recognition is a system that prepares the reception service by sending the information to smartphone of tourist service company guide in real time after taking faces of foreign tourists who enter Korea for the first time with glasses attached to the camera. The smart tourism based on face recognition is personal information recognition technology, speech recognition technology, sensing technology, artificial intelligence personal information recognition technology, etc. Especially, artificial intelligence personal information recognition technology is a system that enables the tourism service company to implement the self-promotion function to commemorate the visit of foreign tourists and that enables tourists to participate in events and experience them directly. Since the application of smart tourism based on face recognition can utilize unique facial data and image features, it can be beneficially utilized for service companies that require accurate user authentication and service companies that prioritize security. However, in terms of sharing information by government organizations and private companies, preemptive measures such as the introduction of security systems should be taken.

• The Journal of the Korea Contents Association
• /
• v.15 no.11
• /
• pp.509-523
• /
• 2015

With the introduction of smart devices as a new channel of information distribution, the mass tourism that has been dominating the travel scene is being transformed into individual tourism. Therefore, it is more than important to establish an advanced smart tourism environment using cutting-edge ICT technologies in order to go into one of tourism developed countries. In line with that, this study draws both local and international cases to show where smart tourism stands now by mapping out problems and solutions by category. Firstly, in terms of infrastructure, establishing distribution platform and big data analyzing systems were suggested. Secondly, to fit the needs of consumers, converged tourism content and user experience based content development are in need. Lastly, in terms of governance forming public-private consultative body and incubating creative tourism companies are suggested. The study results will serve as a fruitful reference to those who want to establish business strategy related to smart tourism.

• Journal of Smart Tourism
• /
• v.2 no.1
• /
• pp.1-3
• /
• 2022

• Asia pacific journal of information systems
• /
• v.25 no.1
• /
• pp.163-178
• /
• 2015

This paper specifically delineated the methodological application of constructivism in smart tourism studies. It explained what constructivism is and how this methodology could be applied in the study of smart tourism. In this study, residents of Seoul participated in constructivist research using the Q method to identify their subjectivities toward Seoul based on photographs most commonly found in tourism promotional material. Residents are concerned with good governance and cultural integrity, and they are aware of their role as stakeholders in tourism in their communities. However their potential contribution to destination image formation has been usually overlooked by researchers and marketers. Three clusters of subjectivities were revealed after 42 photographs of Seoul were sorted by 37 respondents. The results show how respondents perceived Seoul's destination image. The three clusters agreed that symbolic monuments were the key representations of Seoul. The paper recommends that tourism marketers and policy makers should focus on understanding and coordinating with residents' perceived image of Seoul as a destination when planning and decision making, especially in promoting Seoul as a destination market. This study, in conjunction with other constructivist research offers insight into how destination image is, especially with the rise of smart tourism, a complex social construction.

• Journal of Digital Convergence
• /
• v.11 no.5
• /
• pp.437-442
• /
• 2013

To IT convergence study tourism the convergence of IT and tourism in recent years has emerged as a discipline in the future. The purpose of this study, quality of tourism information systems using u-smart content information about design and implementation. This create the basic processes and data that you can analyze the average propensity of tourism and tourism tourists tourist information quality by implementing patterns of information in the template library content can be. Tourist information and tourist's propensity to take advantage of smart apps and XMI created and implemented by the appropriate content information on the quality of the tourism information content can be seen in real-time, this paper have the advantage of being Connection relationship meta-model through the inter-related processes, as well as Smart App can be meta-modeled. Quality by implementing the content of the information tourism information and helps in the development of the future tourism policy, in which you can design a digital model to determine the propensity of tourists.

• International Journal of Internet, Broadcasting and Communication
• /
• v.13 no.2
• /
• pp.179-186
• /
• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• Journal of Smart Tourism
• /
• v.4 no.2
• /
• pp.15-23
• /
• 2024

This study aims to present a framework involving smartness components and indicators of tourism destinations. This work had three phases. The first phase extracted the components and indicators of smartness evaluation in tourism destinations and validated them by experts' opinions. The second phase determined the effectiveness of each element of smartness using an online questionnaire tool, a survey of 320 tourism experts at the level of 12 selected urban tourism destinations, and a factor analysis method, in addition to measuring the level of their smartness. The third phase of the research analyzed the difference between the smartness of the selected urban tourism destinations using a One-Way Analysis of Variance and the Tukey Test. The results indicated six components and fifty-seven indicators. Also, a substantial difference between the smartness of urban tourism destinations was proved. This study substantially contributes to the existing body of knowledge by offering the smartness indicators within a detailed package of six components with a systemic, holistic, and integrated perspective. The results help policymakers and decision-makers evaluate and improve the smartness of tourism destinations. As a result, it is possible to achieve the goals of smartness of urban tourism destinations, including equality, livability, sustainability, and effectiveness of resource management by using different technologies, especially with the emphasis on two aspects: (1) increasing the quality of the tourism experience, and (2) improving the residents' quality of life.

• Asia pacific journal of information systems
• /
• v.28 no.1
• /
• pp.61-74
• /
• 2018

Meeting, Incentive travel, Convention, Exhibition (MICE) industries recently introduced new information systems, such as the exhibition guide system (EGS), to keep pace with Smart MICE and maximize the effect of exhibition performance. We investigate how persuasive EGS can affect the EGS acceptance of attendees via cognitive and affective response. We analyzed data from 442 EGS users at an exhibition. We found that information accuracy, information relevance, and source credibility were predictors of cognitive response. Source credibility had a significant effect on affective response. Furthermore, cognitive response was found to be a positive predictor of affective response and EGS acceptance. We also found affective response is a predictor of EGS acceptance. The theoretical and practical implications of the study were presented based on the results.

• International journal of advanced smart convergence
• /
• v.10 no.4
• /
• pp.134-140
• /
• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.