• Journal of Navigation and Port Research
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• v.31 no.7
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• pp.623-628
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• 2007

By employing primarily the Kendall's Concordance Test, the paper attempted to conduct an experts' evaluation on the interaction among the agents in Busan marine tourism cluster and recommend some measures for policy consideration for the cluster's activation. For this purpose, a conceptual framework was developed to guide the assessment by using inter-agent cooperation and network approaches regarding the nature of the marine tourism cluster. Such factors as cooperation, competition, relationship marketing, and networking were identified as critical. Findings of the study imply that Busan marine tourism cluster is at its embryonic stage and needs desperate measures for improvement in the inter-organizational cooperation and networking, the major regional characteristics that determine the competitiveness of marine tourism.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.398-406
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• 2009

This study intends to provide support for tourism industry to establish marketing strategies for selling the travel products on which it should focus on more by examining the difference on selection of travel product attributes by tourism action. This research utilized cluster analysis and ANOVA. The cluster analysis identified four cluster: logical tourism, weak conspicious tourism, value tourism, conspicuous and value tourism. ANOVA analysis showed that four cluster were different in terms of tourism action such as transportation accommodation facilities, tourist attractions, shopping and meals except for travel service, entertainment.

• The Journal of Industrial Distribution & Business
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• v.9 no.12
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• pp.15-21
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• 2018

Purpose - In order to improve the comprehensive competitiveness of cultural tourism creative industries in the region, different grade cities should adapt to local conditions and differentiated development as the angle. It can promote the optimization of regional tourism industry structure, and make relevant suggestions accordingly. Research design, data, and methodology - Based on the characteristics of cultural tourism creative industry, 24 indicators are selected from four aspects. The comprehensive competitiveness evaluation index system of cultural tourism creative industry is constructed. The essay use factor analysis to quantitatively evaluate 27 cities in the Pan-Yangtze River Delta, and use cluster analysis to classify the competitiveness of cultural tourism creative industries in each city into five types. Results - The results of cluster analysis show that the whole area presents five kinds of step-like features, which are mature leading type, the advantageous development type, comparatively advantageous type, well-grounded type and difference-promotion type. Conclusions - The factor analysis method was used to quantitatively evaluate 27 cities in the Pan-Yangtze River Delta, and cluster analysis was used to classify the cultural tourism creative industry competitiveness of each city into fives type city. Based on the differentiation of cultural tourism creative industry competitiveness and 27 cities in the Pan-Yangtze River Delta, the relevant strategies were proposed.

• Journal of Korean Society of Rural Planning
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• v.20 no.2
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• pp.115-126
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• 2014

The purpose of this study is to segment foreign tourists who are visiting rural tourism village based on importance attributes of rural experiences tourism. From the literature review, rural experience tourism and its' importance attributes were discussed and these are, peculiar cultural experience, rural experience tourism price, food, natural scenery, accessibility, accommodation and convenient facility. On-site survey was conducted to collect the data from 8 rural tourism villages and a total of 258 useful samples were collected and analyzed. Frequent, cluster analysis, MDA, and MANOVA were performed to produce the results. The cluster analysis showed that three clusters solution was appropriate and named as moderated satisfaction group, high satisfaction group, and highly satisfaction group. The results of MANOVA showed that there were differences among the groups in terms of satisfaction and loyalty of rural experiences tourism. Theoretical and practical implications were discussed in the conclusion section.

• Journal of Agricultural Extension & Community Development
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• v.29 no.4
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• pp.191-201
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• 2022

This study aims to segment the rural tourists markets according to benefits sought after the COVID-19 outbreak. Data were collected from 284 usable visits in 20 rural tourism village. Results show that it was classified into three clusters from factor-cluster analysis, The first cluster was 'negative participation type', and the overall pursuing benefit factor was low. The second cluster was 'complex pursuit type', and all the pursuing benefit factors were higher than the average. The third cluster was 'experience-seeking type', and the benefits of pursuing rural experiences, special experiences, and intimacy were high. Each cluster showed differences in educational background, age, residential area, type of visit, awareness, satisfaction, and behavioral intention of rural tourism villages.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.2 no.3
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• pp.144-152
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• 2021

Sanankerto is one of pilot projects for tourism villages in Indonesia due to its natural tourism potential with a 24-ha bamboo forest located in Boon Pring Andeman area. However, the distribution of existing bamboo has never been identified or mapped. Thus, the mana gement is facing difficulty in planning and developing tourism potential as well as spatial management in the area. Therefore, the objectives of this study were to identify and analyze the structure of bamboo vegetation in the Boon Pring Tourism village an d to perform vegetation mapping. The type of research was descriptive exploratory with a cluster sampling technique (i.e., a two-stage cluster) covering an area of ± 10 ha. Bamboo vegetation analysis was performed by calculating diversity index (H'), evenness index (E), and Species Richness index (R). Data were collected through observation and interviews with local people and the manager to determine zonation division. Mapping of bamboo vegetation based on zoning was processed into thematic maps using ArcG is 10.3. Micro climatic factors were measured with three replications for each sub -cluster. Data were analyzed descriptively and quantitatively. Nine species of bamboo identified. Diversity, evenness, and species richness indices differed at each location. Activities of local communities, tourists, and manager determined the presence, number, and distribution of bamboo species. These bamboo distribution maps in three zoning (utilization, buffer, and core) can be used by manager for planning and developing natural tourism potential.

• Journal of Agricultural Extension & Community Development
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• v.31 no.1
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• pp.1-11
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• 2024

This study segmented the market of senior rural tourists and analyzed their characteristics. A two-stage cluster analysis was used to analyze the types of senior rural tourists, and the difference in general characteristics and behavioral intention by segmented market was identified. In this study, data from the fact-finding survey on rural tourism 2022 were used, and 487 cases of senior with rural tourism experience in the past year were used for analysis. A total of three types of senior rural tourists were derived based on the motivation for rural tourism, annual expenditure for rural tourism, experience living in rural areas, and relationship with rural area. The segmentation market of senior rural tourists was found to be 'rural attachment type', 'rural curiosity type', and 'rural indifference type'. The results of this study suggest that the general characteristics and behavioral intentions of senior rural tourists differ according to the segment. The results of this study will be useful information in establishing effective marketing strategies targeting senior rural tourists.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.355-364
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• 2019

The purpose of this study is to present the implications of analyzing users' market segmentation and characteristics based on the tourism SNS lovemarks experience. The results are as follows. First as a result of conducting factor analysis of tourism SNS lovemarks experience, five factors explained namely, mystery, sensuality, intimacy, trust, reputation. Second, as a result of conducting cluster analysis, four cluster groups were identified (reputation/sensuality centered experience group, high lovemarks experience group, intimacy centered experience group, low lovemarks experience group) and each characteristics were profiled. Third, as a result of Chi-square analysis and correspondence analysis, there was a difference in the characteristics of tourism SNS usage by cluster. Fourth, higher tourism SNS lovemarks experience segmented groups were more likely to recognize the degree of experiential value, satisfaction, behavioral intention.

• Journal of Smart Tourism
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• v.1 no.4
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• pp.31-42
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• 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 Computer Science & Network Security
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• v.22 no.6
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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.