• Proceedings of the Korean Society of Community Living Science Conference
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• 2003.11a
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• pp.154-154
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• 2003

WTO 농업협상 이후 농촌지역의 새로운 소득원발굴을 위해 농촌관광에 대한 수요가 증대하고 있다. 이를 위해 '02년부터 정부의 정책적 지원하에 농촌관광사업이 전국적으로 추진되고 있으며, 공급주체인 참여 농업인 및 지역주민에게는 민박운영, 체험프로그램 운영 등의 새로운 시장환경에 적응하기 위한 다각적인 경영활동이 요구되고 있다. 본 연구에서는 정부 정책사업 또는 자생적으로 농촌민박 경영에 참여하는 농가들을 대상으로 민박 경영활동이 적절한 수익모델을 갖추고 지속가능한 구조로 정착될 수 있도록 농촌민박의 실태를 분석하여 정책적 지원과 관리운영에 대한 개선방안을 제시하고자 한다. 실태조사는 “02년도의 정책사업 시범마을 10개 마을과 일반 민박마을 12개 마을 계 22개 마을을 선정하여, 해당마을의 민박농가, 내방객, 지역주민을 각각 4∼5명 계 312명 대상으로 설문 조사하였다.

• Proceedings of the Korean Society of Community Living Science Conference
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• 2011.10a
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• pp.91-91
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• 2011

• The Korean Journal of Community Living Science
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• v.21 no.2
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• pp.163-177
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• 2010

The purpose of this study is to examine the difference between service quality satisfactions according to tourists' preference and segmentation by various motivations. Data were collected from 442 farm stay visitors by field surveys in rural areas. A factor-clustering method identified three distinct segments; want-it-all, overall low motivation, relaxation. MANOVA was used to examine the differences of service quality satisfaction for farm stay visitors' preference and segmentation by motivation. Results show that the type of guest room more significantly influenced farm stay visitors' satisfaction according to those three clusters. It should be noted that we have information on the characteristics and type of satisfaction of the consumers in order to improve the quality of farmstay's service in rural tourism.

• Journal of Korean Society of Rural Planning
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• v.18 no.4
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• pp.141-152
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• 2012

Recently the package design for agricultural product of farm stay is great interests for increasing the income of farmers and villages as it may fulfill the sensible needs of consumers who experience rural culture and farm stay. This paper presents the status of the package design for agricultural product of farm stay and proposed improvements to the package design as following; 1)to diversify the packaging capacity, 2)to develop the cultural products to applicate the traditional crafts technique, 3)to provide institutional strategies for presenting the identity of farm or village, 4)to develop the education program about package design. We sampled fifty pilot farms or villages, analyse the package design of them and questionnaire surveyed farmers and managers in order to find problems and suggest improvements.

• Journal of Global Scholars of Marketing Science
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• v.17 no.3
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• pp.1-19
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• 2007

1. Purpose Rural tourism is made by individuals with different characteristics, needs and wants. It is important to have information on the characteristics and preferences of the consumers of the different types of existing rural accommodation. The stud aims to identify the determinants of consumer preference by type of accommodations. 2. Methodology 2.1 Sample Data were collected from 1000 people by telephone survey with three-stage stratified random sampling in seven metropolitan areas in Korea. Respondents were chosen by sampling internal on telephone book published in 2006. We surveyed from four to ten-thirty 0'clock afternoon so as to systematic sampling considering respondents' life cycle. 2.2 Two-step cluster Analysis Our study is accomplished through the use of a two-step cluster method to classify the accommodation in a reduced number of groups, so that each group constitutes a type. This method had been suggested as appropriate in clustering large data sets with mixed attributes. The method is based on a distance measure that enables data with both continuous and categorical attributes to be clustered. This is derived from a probabilistic model in which the distance between two clusters in equivalent to the decrease in log-likelihood function as a result of merging. 2.3 Multinomial Logit Analysis The estimation of a Multionmial Logit model determines the characteristics of tourist who is most likely to opt for each type of accommodation. The Multinomial Logit model constitutes an appropriate framework to explore and explain choice process where the choice set consists of more than two alternatives. Due to its ease and quick estimation of parameters, the Multinomial Logit model has been used for many empirical studies of choice in tourism. 3. Findings The auto-clustering algorithm indicated that a five-cluster solution was the best model, because it minimized the BIC value and the change in them between adjacent numbers of clusters. The accommodation establishments can be classified into five types: Traditional House, Typical Farmhouse, Farmstay house for group Tour, Log Cabin for Family, and Log Cabin for Individuals. Group 1 (Traditional House) includes mainly the large accommodation establishments, i.e. those with ondoll style room providing meals and one shower room on family tourist, of original construction style house. Group 2 (Typical Farmhouse) encompasses accommodation establishments of Ondoll rooms and each bathroom providing meals. It includes, in other words, the tourist accommodations Known as "rural houses." Group 3 (Farmstay House for Group) has accommodation establishments of Ondoll rooms not providing meals and self cooking facilities, large room size over five persons. Group 4 (Log Cabin for Family) includes mainly the popular accommodation establishments, i.e. those with Ondoll style room with on shower room on family tourist, of western styled log house. While the accommodations in this group are not defined as regards type of construction, the group does include all the original Korean style construction, Finally, group 5 (Log Cabin for Individuals)includes those accommodations that are bedroom western styled wooden house with each bathroom. First Multinomial Logit model is estimated including all the explicative variables considered and taking accommodation group 2 as base alternative. The results show that the variables and the estimated values of the parameters for the model giving the probability of each of the five different types of accommodation available in rural tourism village in Korea, according to the socio-economic and trip related characteristics of the individuals. An initial observation of the analysis reveals that none of variables income, the number of journey, distance, and residential style of house is explicative in the choice of rural accommodation. The age and accompany variables are significant for accommodation establishment of group 1. The education and rural residential experience variables are significant for accommodation establishment of groups 4 and 5. The expenditure and marital status variables are significant for accommodation establishment of group 4. The gender and occupation variable are significant for accommodation establishment of group 3. The loyalty variable is significant for accommodation establishment of groups 3 and 4. The study indicates that significant differences exist among the individuals who choose each type of accommodation at a destination. From this investigation is evident that several profiles of tourists can be attracted by a rural destination according to the types of existing accommodations at this destination. Besides, the tourist profiles may be used as the basis for investment policy and promotion for each type of accommodation, making use in each case of the variables that indicate a greater likelihood of influencing the tourist choice of accommodation.