Journal of Agricultural Extension & Community Development
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v.17
no.4
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pp.851-875
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2010
Rural Experiential Tourism is the medium that connect a town and country. Through the form of these Rural Experiential Tourism people live in country sell indigenous products and tourism services. Both people maintain friendly relations with their friendship based on mutual trust. The aim of space planing for experience and development of experience program is make visitors learn many valuable lessons in countryside. So, Two things must discussed closely related. Also it is necessary to mention people to conduct in there. Visitors who live in Gyonggi and Chungcheong province come to frequently Geumgang Nongbau village for a day. They enjoy going for a swimming and fishing in Geumgang. In order to activate specialized experience program, it is necessary to increase the number of those exclusively responsible for that experience program and organization visitors make stay overnight in village. Also to enhancing village people's income must have agricultural stand and activate village internet site.
The popularization of mobile Internet applications has accelerated the development of smart tourism industry. Based on TAM and VAM theories, this paper studies the influencing factors of tourism App users' willingness to continue using through complex network and data analysis methods. Through the research, it is found that the improvement of service level and design concept of smart tourism application can accelerate the aggregation of complex networks and improve user engagement. At the same time, reasonable price service experience value, convenience service experience value, interactive service experience value, emotional design perception, ease of use design perception, entertainment design perception and other factors can have a direct impact on users' intention to continue to use, and there is a significant correlation. The smart tourism App's convenience and price advantage are the root of its competitiveness. The design concept can affect users' emotional experience and perceptual experience, and help smart tourism App improve users' satisfaction.
Duantrakoonsil, Tattawan;Reid, Earl L.;Lee, Hae Young
Culinary science and hospitality research
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v.23
no.6
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pp.127-134
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2017
Despite its importance to Thailand, museum tourism has not received sufficient attention from researchers and practitioners. Consequently, knowledge of museum tourist responses toward museum service quality is quite limited. Thus, the purpose of this study was to (1) examine the service quality of museums in Thailand and (2) revealed how tourists react positively namely through satisfaction and revisit intentions. This study further explored how the proposed relationships vary between Asian and European tourists. Based on Harrison and Shaw's (2004) museum experience model, facilities, staff services, and exhibition experience were proposed as three important service elements encountered during a service experience. Data were collected from foreign tourists who visited any of the 6 national museums in Bangkok. A total of 260 questionnaires were obtained over a 3-month period, all of which were retained and utilized for the analysis. Results found that exhibition experience and staff services were positively associated with tourist museum visit satisfaction, which in turn acted on revisit intention. In addition, exhibition experience was found to be the most important service element for Asian tourists, while staff services was most important for European tourists. Staff services and exhibition experience both played important roles in the tourist museum experience, while facilities did not have an effect on the evaluation of museum services. In response, museum managers need to implement a segmentation strategy that considers tourists' backgrounds such as region, culture, or nationality.
Today, seaside village has been met with much difficulty from aggravation of fishing conditions including decrease of fishery resources, marine products market opening, reduction of coastal fishing ground. Thus, seaside village tourism can become an useful alternative to revitalize the local community. This study deals with on the tourism activities based on motive of tourist to Seaside Villages in Jeju Island. And it will be find out though the cross analysis of tourism motivation factors and tourism activities factors. With 298 effective responses gathered from an on-site survey. The statistical analysis of the data was conducted using techniques of frequency analysis, factor analysis, cluster analysis, and canonical analysis. The tourism motivation and activities were conformed by Chi-Square Analysis and ANOVA analysis. For the growth of seaside village, many tourist must visit four seasons and tourism facilities and programs will be develop as seaside village experience activities, marine leisure activities, and circumference inquiry activities.
The Journal of the Korea institute of electronic communication sciences
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v.12
no.4
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pp.637-644
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2017
This paper is based on the information left on SNS by the experienced tourist and, First, the tourist gathers various tourist information from SNS through Smart Tourism as suggested, Second, providing scheduling information for future tourist and the future tourist can modify and apply the information from experienced tourist. Third, the goal of this study is to design virtual tourism service based on above services where future tourist can post and modify tourism scheduling. Therefore, it is to obtain the effect of providing reliable tourism service to maximize the satisfaction of the tour through matching process between experience experiences and experience schedule.
The role of rural towns as a leisure space has recently been increasing with changes in the consumption trends in domestic tourism. Based on the tourists visiting the town of Sunheul-ri, Jocheon-eup, a rural Village in Jeju Island, this study categorized the market according to the images formed by the tourists of rural towns, and analyzed the preferred mode of participation in rural field activities for each category. We analyzed the characteristic factors of the images of rural tourism formed by the tourists, extracted three factors for cluster analysis, and then formed three groups: "Group of Rural Experience Activity" "Group of Rural Environment and Service" and "Group of Rest in the Rural" After analyzing the preferred activity in each image-category group, we found no significant differences among the groups in ordinary activities such as viewing the scenery, experiencing and learning about the natural environment, and culinary experiences. However, there were significant differences among the groups regarding participation in experiential tour programs with the purpose of active tourism. The "Group of Rural Experience Activity" sought to actively participate in various activity programs, whereas the "Group of Rest in the Rural" comparatively had a weaker preference for such active programs. We thus learnt that tourists' preferred activities are different according to the types of images formed by the tourists visiting rural towns. Therefore, to strengthen the competitive advantage of the rural tourist destinations of Jeju Island, it is necessary to provide various activity programs that are appropriate for the rural regions of Jeju and to accord with the expectations associated with each market segment category by positioning the programs according to the characteristics of the images held by the tourists.
As tourists travel to other regions, they encounter numerous facts that conflict with their views. At that time, we change our view of coping with life. In this respect, tourism is a new way of learning. As a new learning method, tourism experience research is a new approach. In this study, the relationship between experience and learning experienced in tourist destinations was analyzed by applying the activity theory. The analysis units applied in the activity theory were set as subjects, goals, communities, roles, methods and rules, outcomes, and relevance to local communities. Based on this, in-depth interviews were conducted with commentators and guides who had a great influence on the tourism experience to analyze the learning process of tourists. As a result of the analysis, the experiences of tourists during the tour were interactive in various forms within the unit as well as the unit of the activity system of the commentator and guide. This interaction induces changes in the tourism experience activity system, enabling tourists to learn. The content is that the value of learning increases as the role of guide and commentator increases, that the social and cultural dimension of tourism experience is included in the learning effect, and the contradictions that arise from interactions within or between activity systems. The fact that they find the solution process themselves, and that tourism activity is not an isolated unit, but exists at the intersection of hierarchies and networks, is affected by the activities and environments of others.
Social network service (SNS) data related to green tourism were used to estimate preferred tour sites and users' interests. Keywords related with green tour activities were employed to search the SNS data. SNS data were collected from Korean blogs such as Naver and Daum from June $1^{st}$ to August $31^{st}$ between 2015 and 2017 using text-mining solution. During the study period, seven hundred and five posts were analyzed. Associated words that frequently co-occurred with keywords were classified into different categories depending on the nature of associated words. Associated words included swimming pools and camping sites (location); experience and swimming pools (attribute); and water play and culture (culture/leisure). Our data suggest that SNS users with experience of green tourism in Korea exhibited interest in green tourism with swimming pools, camping sites, experience, water play and/or culture rather than particular popular sites. Based on the findings, it is recommended that preferred facilities such as swimming pools should be provided at green tourism sites to meet the users' needs and to facilitate green tourism.
Journal of Agricultural Extension & Community Development
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v.23
no.1
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pp.1-14
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2016
The purpose of this study was to examine the relationships among experience, perceived value, and satisfaction of rural tourists based on the experience economy(Pine, & Gilmore, 1998; 1999). In addition, this study included the moderating effect of length of stay on the proposed relationships. This study was attempt to develop measurement scales based on the theory of experience economy(Pine, & Gilmore, 1998). Data were collected from 481 visitors by field survey from the 10 rural tourism communities. SPSS 20.0 and Amos 18.0 statistical package were used for frequency, reliability, confirmatory factor, and structural equation modelling analysis. The results of a confirmatory factor analysis yielded four dimensions of experience(esthetics, education, escape, and entertainment). The results of structural equation modeling indicated that entertainment, esthetics, and education had positive effects on perceived value, which in turn had a positive effect on satisfaction. In addition, length of stay moderated the relationships among experience, perceived value, and satisfaction. The entertainment and esthetics among experience factor had an effects on perceived value in the group of day visit group, and the entertainment, education, and esthetics among experience factor had an effects on perceived value in the group of stay night group. And the perceived value had a positive effect on satisfaction in the all group. Therefore, in order to increase rural tourists' satisfaction effectively, practitioners needs to develop rural tourism products by considering area of experience economy including tourists' length of stay.
This paper aims to analyse the preference for German farm tourism among the German population. For this reason, we conducted an empirical study in Germany during summer 2007 and we applieda structural equation model based on partial leasts quares(PLS) to analyse the data. In the following chapters we will introduce the literature review and our conceptual frame work. We will then outline the procedures we adopted and the results of the empirical analysis. In the final part so me conclusions will be presented and a discussion will follow in order to draw the future directions of our research. According to our hypotheses, the possibility that agri-tourism enters in the evoked set of an individual is higher: H1: The higher the information degree about it. H2: The lower the influence of the social stimuli. H3: The higher the physical exposure to it (experience). H4: The higher the wellness image of agri-tourism. H5: The higher the traditional image of agri-tourism. H6: The higher the exciting image of agri-tourism. H7: The higher the perceived value for money. Our further hypotheses affirm that the possibility that agri-tourism enters in the evoked set of an individual is higher: H8: The lower the perceived risk. H9: The higher the motive to enjoy a holiday in the nature. H10: The higher the motive to enjoy a sport holiday. H11: The lower the motive to have an organized holiday. H12: The lower the motive to have a holiday abroad. H13: The lower the motive of action and night life. H14: The higher the motive to spend a holiday with the family. H15: The lower the motive to spend a city holiday. Finally, our model has some socio-demographics data. As we mentioned before, German agri-tourism has traditionally been the travel destination of large-size families, with low-to-middle income. For that reason, our final hypothesises are the following: the possibility that agri-tourism enters in the evoked-set of an individual is higher: H16: The higher the number of family members. H17: The lower the family income. Since in this study we use a path model with a PLS approach, we are able to state some interrelations among the exogenous latent variables: H18: The motive of sport holiday has a positive influence towards nature motives. H19: The physical exposition to agri-tourism has a positive influence toward information. H20: The motive of family holiday has a negative influence toward the motive of action and night life. H21: Social stimuli have a positive influence towards individuals risk perceptions. H22: Social stimuli have negative influence towards experience. Data for this study were gathered via administrated questionnaires during the summer 2007 within the frame of an academic "marketing research" course. The corresponding t-values are assessed using the bootstrapping method with 500 re-samples. In our model 61% of the degree of appreciation of German agri-tourism (evoked set) is explained by five independent variables: value for money ($0.335^{{\ast}{\ast}{\ast}}$) (H7) experience ($0.267^{{\ast}{\ast}}$) (H3), exciting image ($0.204^{\ast}$) (H6) organisation ($-0.162^{\ast}$) (H11) and holiday abroad ($-0.156^{\ast}$) (H12). The variance explained ($R^2$) for the other endogenous variables are the following: nature 24.3%, information 14.1%, action holiday 13.8%, risk perception 5.8% and experience 2.4%. An overview can be inferred from table 5. The results also allow us to test each of the proposed hypotheses. With exception of organization and abroad, none of the others travel style factors (H9 to H15) seem to have any significant impact towards evoked set which leads to the rejection of the respective hypotheses. As expected, social stimuli have a significant influence on individuals' risk perception (H21 accepted), however neither the former nor the latter have a valuable impact on evoked set (rejection of H2 and H8). Besides, since the influence of social stimuli towards experience is not significant, also H22 has to be rejected. Experience influences information (H19 accepted) but the latter does not affect significantly the evoked set (H1 rejected). Both H4 as well as H5, referring respectively to the perceived images of German agri-tourism as a wellness destination and the traditional image of the German farm tourism have to be rejected. Finally, none of the demographic data included in the model explains significantly the variance of the factor evoked set. Therefore neither H16 nor H17 has been accepted. As far as the interrelation between sport and nature (H18) and family and action (H20) are concerned, the stated relationship among these variables has been statistically confirmed. Our path model based on partial least squares shows the factors influencing the preference for farm tourism in Germany. Among others value for money and experience are the most significant ones. Practical implications are discussed.
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