• 제목/요약/키워드: technology, tourism

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소셜 빅데이터를 활용한 한국관광 트렌드에 관한연구 -감성분석을 중심으로- (A study on Korean tourism trends using social big data -Focusing on sentiment analysis-)

  • 최연희;유경미
    • 문화기술의 융합
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    • 제10권3호
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    • pp.97-109
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    • 2024
  • 국내관광 영역에서 관광 소비 주체인 외래관광객과 내국인에 대한 관광 트렌드 분석은 한국 관광시장 뿐 만 아니라 지역 및 정부의 관광정책을 수립하는 관계자에게도 필수적이라 할 수 있다. 이에 소셜미디어 상의 핵심키워드와 감성분석을 알아보고 향후 관광소비자의 커뮤니케이션과 정보를 통해 마케팅 전략 계획을 수립하고 국내 관광산업을 활성화시키고자 한다. 한국관광의 트렌드를 분석하기 위해 텍스톰(TEXTOM) 6.0을 활용하였다. 구글, 네이버, 다음이 제공하는 카페, 블로그, 뉴스 등을 대상으로 '한국관광', '국내관광'을 키워드로 하여 2022년 9월31일부터 2023년 8월31일까지 데이터를 수집하였다. 텍스트마이닝을 통하여 빈도순으로 핵심 키워드와 TF-IDF를 각각 100개씩 추출한 후, CONCOR 분석, 감성분석을 실시하였다. 한국관광 핵심 키워드는 관광지, 여행동반 및 행태, 관광동기 및 체험, 숙박형태, 관광정보, 감성 관련 등에 관한 단어들이 상위권에 노출되었다. CONCOR분석 결과는 관광지, 관광정보, 관광활동/체험, 관광동기/콘텐츠, 인바운드 관련 등과 관련된 5개의 클러스터로 구분되었다. 마지막으로 감성분석 결과 긍정에 대한 문서와 어휘가 높게 나타났다. 이 연구는 한국관광에 대한 텍스트 마이닝을 통하여 급변하는 한국관광 트렌드를 분석하여 내국인 뿐 만 아니라 방한 외국인에 대한 국내관광 활성화에 의미 있는 기초자료를 제공할 것으로 기대한다.

Tourism Service Quality and Tourism Product Availability on the Loyalty of International Tourists

  • RAHMIATI, Filda;OTHMAN, Norfaridatul Akmaliah;BAKRI, Mohammed Hariri;ISMAIL, Yunita;AMIN, Grace
    • The Journal of Asian Finance, Economics and Business
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    • 제7권12호
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    • pp.959-968
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    • 2020
  • Tourist loyalty is created through good tourism service quality and the availability of tourism products. This study discussed the various attributes of tourism service quality, namely, tour agents, efficient personnel, accessible transportation, and information service quality. Whereas for tourism product availability attributes were varieties of product availability, wide selection of tour agents and tourist products, and wide variety of amenity services. As a general rule, the minimum is to have at least five times as many observations as the number of variables to be analyzed, and the more acceptable sample size would have a 10:1 ratio. A total of 424 questionnaires were returned, with 35 removed due to errors. Finally, 389 questionnaires respondents were used via accidental sampling method through the distribution of questionnaires to foreign tourists at Soekarno Hatta International Airport. In addition, AMOS 7.0 software is used to test models in confirmatory factor analysis (CFA) as well as hypothetical testing using structural equation modeling (SEM). The results showed that all hypotheses were accepted, except for the effect of tourism service quality on tourist loyalty in Indonesia. This research aims to contribute significantly to the existing knowledge of tourism, specifically from a foreign tourist perspective in Indonesia.

A Framework of Implications for Smart Tourism Development in Hong Kong

  • Ye, Huiyue;Zhang, Ke;Law, Rob
    • Journal of Smart Tourism
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    • 제1권1호
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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.

Smart Tourism-A Solution for Tourism Challenges in Himachal

  • Sharma, Sahil
    • Journal of Smart Tourism
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    • 제2권2호
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    • pp.21-32
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    • 2022
  • This paper shows light on the concept of smart tourism destination as a future of tourism development, especially in the context of problems associated with developing countries. This study substantiates the case of smart tourism development in mountain destinations as an affordable and needed future of the contemporary era. This conceptual study is based on secondary literature on Smart Cities, Smart Tourism Destinations, and Tourism in Himachal Pradesh. The Indian state of Himachal Pradesh has been considered as a study area to acknowledge major tourism-related challenges, especially in mountain locations. Consequently, the dots are connected between existing challenges and solutions that smart tourism holds. It turns out that for the development of mountain tourism destinations such as Himachal Pradesh in the Indian Himalayas, investments in smart infrastructure are required. By developing smart infrastructure, a new USP can be made, a supportive environment for new local businesses, new employment opportunities, enhanced tourist experience and an overall raised standard of living for locals. Considering all factors, it leads to a highly competitive tourism destination. All tourism destinations located in the Himalayan mountains show somewhat the same tourism challenges as Himachal Pradesh, India. Therefore, this paper brightens the path of destination planners towards the development agenda of smart tourism destinations and shows how smart tourism infrastructure can be deployed for better management of tourism destinations.

관광 산업을 위한 XML 기반의 Mobile Agent를 이용한 공급 사슬 관리 (Supply Chain Management Based on XML and Mobile Agent for Tourism Industry)

  • 이동철;최덕원
    • 산업경영시스템학회지
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    • 제25권2호
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    • pp.84-91
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    • 2002
  • The progress of information technology triggered the rapid progress of tourism industry and the industry has now grown to be the biggest and the highest value added producing industry. Tourism industry is characterized by its high information dependency and is subject to the frequent changes of schedule. Therefore, dynamic cooperations between the service provider and the service agent is essential. One of the latest trend in information technology is the popular adoption of XML as the standard means of document exchange in the internet environment. This paper proposes a supply chain management system which enhances the productivity and customer satisfaction in the tourism industry by exploiting the exchange of information in XML among the tourism society, which consists of the producer, the agents, and the consumer. This Paper is especially addressed to the applicability of e-SCM for the productivity enhancement in the tourism industry, which is known as the leading service industry in the internet environment.

치과의료관광에 대한 인식과 활성화 방안 (Awareness and activation towards dental medical tourism)

  • 최유리;장선옥;조윤정;심연수
    • 한국치위생학회지
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    • 제15권5호
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    • pp.857-863
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    • 2015
  • Objectives: The purpose of the study is to investigate the awareness and activation towards dental medical tourism. Methods: A self-reported questionnaire was completed by 195 dental hygienists in Seoul from January 30 to September 15, 2014. Data were analyzed by one way ANOVA, chi square and t test using SPSS 19.0 program. the questionnaire consisted of general characteristics of the subjects, awareness towards medical tourism, medical tourism related hospitals, activation of Korean medical tourism, fields of medical tourism, and improvement of medical tourism. The questionnaire was adapted and modified from Kim and Kim by Likert scale. Results: Dental hygienists gave the high perception and possibility towards medical tourism (94.1%). Those carrying out medical tourism accounted for 39.5 percent. The most difficult problem was communication with foreigners (80.5%). The performance of prosthesis and anesthesia was the most specialized area that supported the medical tourism (84.1%). In order to improve the medical tourism implementation, dental medical technology must be strengthened (39.8%). Conclusion: The desirable dental medical tourism must be carried out by proficient dental medical manpower, higher technology, active participation and financial support by the government. This dental medical tourism will provide job opening for the dental hygienists.

Attitude Change Towards Self-Service Technology Adoption Using Latent Growth Modeling

  • Um, Taehyee;Chung, Namho
    • Journal of Smart Tourism
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    • 제2권3호
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    • pp.5-15
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    • 2022
  • As the utilization of technology in the tourism field becomes familiar, it greatly impacts people's tourism activities. These changes could also affect the behavior of tourists during the pandemic. To investigate consumers' adaptation to the self-service technology (SST) environment during the coronavirus disease of 2019 (COVID-19) pandemic, we adopted a model of absorptive capacity as the main framework for empirical research. To track the social effects of COVID-19, consumers' behavioral intentions for four different points in time are collected. The analysis was conducted using latent growth and structural equation modeling. We set the organizational and environmental characteristics as the first step of the model, with assimilation and trust as a middle step. Intention to use a kiosk is placed at the final step as an exploit. Findings indicate that organizational characteristics and environmental characteristics positively influenced assimilation and trust, except for environmental characteristics. Consumers' assimilation in SST encourages immediate intention to use a kiosk. Consumers' trust in kiosks positively impacts both immediate and continuance intention to use a kiosk during COVID-19.

Development of Tourism Information Named Entity Recognition Datasets for the Fine-tune KoBERT-CRF Model

  • Jwa, Myeong-Cheol;Jwa, Jeong-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권2호
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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.

Application of Information Technologies to Improve the Quality of Services Provided to the Tourism Industry Under the COVID-19 Restrictions

  • Iudina, Elena Vladimirovna;Balova, Suzana L.;Maksimov, Dmitrij Vasilievich;Skoromets, Elena Klimentinovna;Ponyaeva, Tatyana Anatolyevna;Ksenofontova, Ekaterina Andreevna
    • International Journal of Computer Science & Network Security
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    • 제22권6호
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    • pp.7-12
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    • 2022
  • The modern stage of society's development is characterized by the rapid penetration of information technologies into all spheres of life. Their use contributes to improving the quality of tourism services, as well as the competitiveness of tourism industry enterprises. The role of information technology in tourism is growing more and more every year, which determines the relevance of the study of modern trends in the use of information technology in the tourism sector. The purpose of the study is to determine the possibilities of using information technologies to improve the quality of services provided to the tourism industry under the COVID-19 restrictions. The article systematizes the main approaches to the "cluster" category and provides an original definition of the "regional tourist cluster" concept. Based on an expert survey, the main trends in the introduction of information technologies in the tourism industry under the COVID-19 restrictions have been identified, which include virtual reality and augmented reality, speech recognition technologies, photo, video, audio (contactless control technologies), mobile IT applications and Big Data technologies. It has been concluded that the vast majority of improvements in the organization of tourism services under restrictions will be based on the organization of virtual solutions and online activities. The types of tourism services will also change, and information technology will help their development and dissemination.