• Journal of Smart Tourism
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• v.3 no.2
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• pp.1-3
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• 2023

• Journal of Smart Tourism
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• v.1 no.1
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• pp.31-39
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• 2021

Smart tourism, a promising development trend for destinations, has drawn growing attention from practitioners and academics. Extant research has laid a solid theoretical foundation on the roles of technology and effects of smart tourism on tourists. However, little is known about structured and profound implications for a destination's smart tourism development. Thus, by selecting Hong Kong as a case city, this study proposes a framework of implications for smart tourism development. A qualitative approach was employed to gain insights from smart tourism stakeholders. Results shed light on nine elements that boost the smart tourism development of destinations. These nine elements serve as a significant reference for policy-making. Several theoretical and practical implications are provided for scholars, practitioners, and policy makers.

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

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

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.63-69
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• 2022

We develop a smart tourism information system that provides smart tourism services to free independent tourists (FITs) through various content distribution channels such as mobile apps, Instagram, YouTube, and chatbots. The smart tourism information system provides location and storytelling-based tourism information, accommodation, restaurant information, and recommended travel products so that tourists can create a travel itinerary based on personalized situation awareness. The smart tourism information system also provides smart tourism services using commercial maps, navigation, and weather forecast APIs from the Korea Meteorological Administration to provide smart tour guide services to tourists who travel according to the travel itinerary. In this paper, we develop the React Native app that provides smart tourism services provided by the smart tourism information system. The smart tourism React Native app has implemented two methods: a method that directly connects to the smart tourism information system, and a method that provides services by interworking through the GraphQL Query Language developed by META (Facebook). The smart tourism React Native app implements OSMU (One Source Multi-use) by providing tourism information from mobile apps, photos from Instagram, and drone videos from YouTube as an integrated UI.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.55-62
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• 2022

A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

• Information Systems Review
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• v.16 no.3
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• pp.69-87
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• 2014

The integration of Tourism and Information Communication Technology (ICT) has been continued based on a drastic progress of ICT in the entire sectors of tourism industry. A variety of terminologies such as eTourism, Virtual Tourism, Smart Tourism have appeared during the last decades, however, tourism with Smartphones created a new paradigm has not discussed yet in tourism industry and academia. By investigating on the previous literature in the role of ICT in tourism, we have classified five major streams in the past such as end user perspective (tourist behaviour), Community, Multimedia and Web, Intelligent System, and Smart Tourism. At a result, we investigated the concept of smart tourism and extended to research on Smart Tourism Ecosystems. We suggest the concept of smart tourism ecosystems, which may create values by interacting among tourism players (tourist, distribution channel, supply channel, government, and local community). We propose the discussion of meaning of 'creating shared value' through 'Smart Tourism Ecosystems'.

• Journal of Smart Tourism
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• v.2 no.2
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• pp.5-14
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• 2022

In recent years, UNWTO and academics have called for the development of responsible, sustainable, and universally accessible tourism to promote equal human rights and social inclusion. Prior studies have also revealed the potential and value of smart technologies in reducing, if not removing, barriers to people with access requirements during travel and in their everyday lives. However, a guiding framework of how smart technologies assist in building an accessible destination is still absent, thereby hindering the progress of building accessible tourism. This paper aims to fill this knowledge gap. A conceptual model of smart accessible destination (SAD) was proposed drawing from the intersection of accessible tourism and smart tourism. With the guidance of this conceptual model, tourism destinations and stakeholders can recognize and utilize the synergies of accessible and smart tourism to enhance the social inclusion, competitiveness, and sustainability of a destination.

• Journal of Smart Tourism
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• v.2 no.1
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• pp.5-19
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• 2022

Smart tourism is seen as a revolution in the tourism industry, involving innovative and transformative theoretical-practical approaches for the sector. As a result of its application in the tourist context, benefits can be seen such as more sustainable practices, greater mobility and better accessibility in destinations, evolution of processes and experiences of tourists. Much of this is achieved through the support of technological solutions. However, despite the immense expectations, and the many researches carried out on it, a literature summary regarding the dimensions that can be observed in each application of this smart tourism has not yet been proposed. Therefore, supported by the PRISMA recommendation, this research proposed to carry out an integrative review of the literature on smart tourism (in its different levels of application, such as the city, the destination and the smart tourism region), with the objective of mapping the dimensions that underlie it. Thus, from an initial scope of 833 intellectual productions obtained, inputs were found for the dimensions in 363 of them after a thorough analysis. The compilation of data obtained from these productions supported the proposition of 14 operational dimensions of smart tourism, namely: collaboration, technology, sustainability, experience, accessibility, knowledge management, innovation management, human capital, marketing, customized services, transparency, safety, governance and mobility. With this set of dimensions, it is envisaged that the implementation of smart tourism projects can present more comprehensive and assertive results. In addition, shortcomings and opportunities for new research that support the evolution of the theory and practice of smart tourism are highlighted.

• Journal of Smart Tourism
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• v.2 no.2
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• pp.1-4
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• 2022