• Title/Summary/Keyword: Tourist Review

Search Result 107, Processing Time 0.025 seconds

Development of a Tourist Satisfaction Quantitative Index for Building a Rating Prediction Model: Focusing on Jeju Island Tourist Spot Reviews (평점 예측 모델 개발을 위한 관광지 만족도 정량 지수 구축: 제주도 관광지 리뷰를 중심으로)

  • Dong-kyu Yun;Ki-tae Park;Sang-hyun Choi
    • Journal of Intelligence and Information Systems
    • /
    • v.29 no.4
    • /
    • pp.185-205
    • /
    • 2023
  • As the tourism industry recovers post the COVID-19 pandemic, an increasing number of tourists are utilizing various platforms to leave reviews. However, amidst the vast amount of data, finding useful information remains challenging, often leading to time and cost inefficiencies in selecting travel destinations. Despite ongoing research, there are limitations due to the absence of ratings or the presence of different rating formats across platforms. Moreover, inconsistencies between ratings and the content of reviews pose challenges in developing recommendation models. To address these issues, this study utilized 7,104 reviews of tourist spots in Jeju Island to develop a specialized satisfaction index for Jeju tourist attractions and employed this index to construct a 'Rating Prediction Model.' To validate the model's performance, we predicted the ratings of 700 experimental data points using both the developed model and an LSTM approach. The proposed model demonstrated superior performance with a weighted accuracy of 73.87%, which is approximately 4.67% higher than that of the LSTM. The results of this study are expected to resolve the discrepancies between ratings and review contents, standardize ratings in reviews without ratings or in various formats, and provide reliable rating indicators applicable across all areas of travel in different domains.

Destinations analytics with massive tourist-generated content: Applying the Communication-Persuasion Paradigm

  • Hlee, Sun-Young;Ham, Ju-Yeon;Chung, Nam-Ho
    • The Journal of Information Systems
    • /
    • v.27 no.3
    • /
    • pp.203-225
    • /
    • 2018
  • Purpose This study investigated the impact of review language style (affective vs. cognitive) on review helpfulness and the moderating effects of the types of attractions in the relationships between the review language and its helpfulness. Design/methodology/approach This study investigates the impact of review language style (affective vs. cognitive) on review helpfulness and the moderating effects of the types of attractions in the relationships between the review language and its helpfulness. This study selected two hedonic and utilitarian attractions (Hedonic: Brandenburg Gate, Utilitarian: Peragamon Museum) located in Berlin. A total of 3,320 reviews was collected from TripAdvisor. We divided online reviews posted for these places into reviews with more affective language and with more cognitive language by using the LIWC. Then, we investigated the impact of language effect on review helpfulness across the attraction type. Findings The findings suggest that peers tend to judge more helpful toward cognitive language in attraction reviews regardless of attraction type. This study found that peers tend to perceive more helpful toward cognitive review in utilitarian attractions. Even though there was an interaction effect between review language and attraction type, in hedonic attractions, the influence of cognitive language was reduced, but still cognitive reviews would get more helpful votes.

The Development of Travel Demand Nowcasting Model Based on Travelers' Attention: Focusing on Web Search Traffic Information (여행자 관심 기반 스마트 여행 수요 예측 모형 개발: 웹검색 트래픽 정보를 중심으로)

  • Park, Do-Hyung
    • The Journal of Information Systems
    • /
    • v.26 no.3
    • /
    • pp.171-185
    • /
    • 2017
  • Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

A Study on the Movement Network of Visitors for Tour Activating - Focusing on Hwaseong City, South Korea (경기도 화성지역 관광객 특성과 이동네트워크 특성 분석을 통한 관광지 활성화 방안 연구)

  • Yim, Eun-soon;Kim, Min Sun;Um, Hyemi
    • International Area Studies Review
    • /
    • v.22 no.4
    • /
    • pp.189-208
    • /
    • 2018
  • This study validates if this relationship results in differences of significance levels between first time and repeat visitors and analyzes if there exist any differences in the spatial characteristics of tourist attractions using Social Network Analysis(SNA) for the spacial attributes of movement network Focusing on Hwaseong city, South Korea. It is important for balanced development between tour sites in Hwaseong by enhancing the value of tourism resources and applying the concept of hub-and-spoke tourism development. Based on the analyzing the centrality of tourist movement networks, degree centrality, closeness centrality, and betweenness centrality all did not show much variation for 20 tourist attractions versus the top five. That is, the attractions that both first time and repeat visitors visit are concentrated in well-known, famous places. The authors hope that this study, which defines practical interactions among attractions based movement, will be used as practical data for developing tourist retention marketing strategies.

Tourist Attraction Classification using Sentence Generation Model and Review Data (문장 생성 모델 학습 및 관광지 리뷰 데이터를 활용한 관광지 분류 기법)

  • Jun-Hyeong Moon;In-Whee Joe
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2023.11a
    • /
    • pp.745-747
    • /
    • 2023
  • 여러 분야에서 인공지능 모델을 활용한 추천 방법들이 많이 사용되고 있다. 본 논문에서는 관광지의 대중적이고 정확한 추천을 위해 GPT-3 와 같은 생성 모델로 생성한 가상의 리뷰 문장을 통해 KoBERT 모델을 학습했다. 생성한 데이터를 통한 KoBERT 의 학습 정확도는 0.98, 테스트 정확도는 0.81 이고 실제 관광지별 리뷰 데이터를 활용해 관광지를 분류했다.

The Effects of International Medical Tourism Service Quality on Perceived Value (국제의료관광 서비스 품질이 지각된 가치에 미치는 영향에 관한 연구)

  • Lee, Chang-Nam;Kim, Hyun-Ju;Hwang, Il-Young
    • International Commerce and Information Review
    • /
    • v.15 no.4
    • /
    • pp.3-25
    • /
    • 2013
  • With the ever-changing medical tourist environment, the study has delved into issues ranging from judged value on medical tourist service quality and its effect on the service level and recurring rate of return visit through the quantitative analysis with the survey for a group of tourists from Japan, China, USA and the interview survey on medical specialist on tourists. Verifying the Hypothesis 1 reveals the assertion that quality of medical service for tourists has effected upon the functional value has proven to be true except the cases on responsiveness and accessibility. And the assumption that the quality of medical service for tourists has effected upon the emotional value has proven to be true except the case on accessibility. The paper has its limitation in that it is confined to medical tourists of small numbers of target countries, relatively short survey period. The study shall be followed by the further analysis on the factors for medical tourists' personal and societal effect

  • PDF

A Research on Setting up Cultural Tourism Festival Concepts to Revitalize Local Tourism in the Post-Corona era (포스트 코로나 시대의 지역관광 활성화를 위한 문화관광축제 콘셉트 설정 연구)

  • Jung, Chong-Ki
    • Journal of the Korea Convergence Society
    • /
    • v.12 no.10
    • /
    • pp.151-160
    • /
    • 2021
  • This study aims to establish the most appropriate festival concept in the post-corona era through in-depth analysis and discussion of local festivals, and to propose a tourism festival for international competitiveness and tourist satisfaction. It also aims to contribute to revitalization of local tourism and the revitalization of the local economy by establishing and implementing a new festival concept in the post-corona era. The results of the review of previous studies, empirical research, and comprehensive meta-analysis showed that it was necessary to change the festival concept setting. In the post-Corona era, it is necessary to build a concept through an online video platform, establish a safety packaged tourism festival prevention system, and hold the most distributed tourist festival time and space of the tourist festival and space as much as possible. In addition, it appeared that it was necessary to plan and implement the village tourism festival through the participation of residents, and to apply the concept of a tourism festival enjoyed by small neighbors and neighbors in the village unit.

A Study for the Effect of Medical Service Failure and Recovery on Medical Tourist Trust and Behavioral Intention -Focused on Japanese Medical Tourist- (의료서비스 실패와 회복 후 만족이 신뢰와 행동의도에 미치는 영향 - 일본인 의료 관광객을 중심으로 -)

  • Cho, Young-Shin
    • International Area Studies Review
    • /
    • v.13 no.2
    • /
    • pp.687-711
    • /
    • 2009
  • This research was conducted to explore the factors that cause medical tourists' dissatisfaction, and find ways to solve the tourists' problems by researching on the relationship between the service recovery and the failure of medical services. Also, the research has put more emphasis on establishing marketing strategies that enable Japanese medical tourists to actively visit Korea, and finding out the effects that the medical tourists satisfaction and trust have on their behavioral intentions, recommendations, and positive feedbacks. The summary of the research analysis results as follows. First, the service recovery after the service failure has positive influences on the medical tourist's satisfaction. Second, the service recovery has proven its positive influences on the tourists' trusts and behavioral intentions. Third, the satisfaction of the service recovery has built the mutual trust between the tourists' and the medical center, and this has positive influences on the customer's behavioral intentions. Finally, the research was conducted to analyze the moderating effects on the relationship between the service recovery and the recovery satisfaction. It was found that the medical service failure recognition type has proven no moderating effects.

Hotel Uniform Proposal for Jeju I

  • Kwon, Sookhee
    • Fashion & Textile Research Journal
    • /
    • v.16 no.6
    • /
    • pp.987-994
    • /
    • 2014
  • The purpose of this research is to propose employee uniforms for tourist hotels on Jeju Island, such uniforms that embrace Jeju's unique culture and promote the tourism of Jeju Island. It has been suggested that there exists a need for hotel employee uniforms to attract more tourist attention and boost Jeju's tourism industry. We designed the uniform after analyzing the empirical data collected from academia thesis, periodicals, papers and pictures from internet search, and fashion industry magazines. The uniform analysis and production procedures are as follows: (1) precedent research case review (2) current (existing) uniform status survey (3) latest fashion trend analysis (2010 - 2014) (4) creating the uniform implementing the trend-based design with Gal Cheon, Jeju's cultural product material. We found tipping points of the design through literature and trend analysis; we developed appropriate uniforms accordingly that are harmonious with Jeju's unique identity. We received great evaluations on the appearance and comfort as well. A new concept of uniform featuring Gal Cheon has been proposed. It is expected that the uniforms will promote the brand image of Jeju as an international freedom city and its culture.

The Evolution of Marketing Thought and Marketing Communication: The Perspective of Relationship Marketing (강원도 관광지 선택과 만족요인에 관한 연구)

  • Park, Sung-Yong;Oh, Tae-Hyun
    • Korean Business Review
    • /
    • v.12
    • /
    • pp.83-102
    • /
    • 1999
  • People who are satisfied with tour sites will revisit those and recommend those to other people to visit. As a result, those tour sites will attract more tourists. The introduction of consumer satisfaction concept into tourism management is very critical for Kangwon province since tourism industry plays an important role compared with other industries. We investigate tour motives and influential factors in the tourist choice process theoretically and empirically. Empirical results show that "the importance of influence factors varies with tour motives," "the impact of tour-related factors on tourist satisfaction also different across tour motives," "tour motive itself is an important contributor to tour satisfaction." Therefore, this research develops a theoretical framework to understand the underlying motives, factors, satisfaction and discuss the results.

  • PDF