This study aims to identify the importance of success factors in rural tourism community business. Community business, which allows local residents to solve their problems and generate profits, is an important area in maintaining local communities. Therefore sustainability and self-reliance must be guaranteed. Research model was set up based on the SLEN(Sustainable Local Enterprise Networks) presented by Wheeler.et al. in 2005. Evaluation items of SLEN model were derived based on previous research. A hierarchy model for AHP analysis was set up, and 20 experts surveyed to derive the importance of success factors in rural tourism community business. As a result, experts evaluated resident participation and leadership were the most important factors. This study contribute to the successful establishment of a sustainable community business and suggest implications for government support policies in the field of rural tourism community business.

This study aims to identify the factors affecting educational satisfaction among young farmers participating in farming settlement training programs in South Korea. An ordinal logistic regression model was hired to analyze the survey data from 544 respondents. Results show that satisfaction varies by region and returnee type. Rural residents reported lower satisfaction than those in suburban areas, while returnees (U-, J-, and I-type) showed higher satisfaction than native rural-born farmers. Educational content such as cultivation/livestock, machinery skills, and smart farming positively influenced satisfaction. Moreover, better medical conditions and lower satisfaction with educational infrastructure were linked to higher overall satisfaction. The findings highlight the need for region- and learner-specific educational strategies.

This study aims to develop and validate the Agricultural Career Interest Inventory (ACII), a vocational interest scale tailored to the agricultural sector and grounded in Holland's Occupational Themes (RIASEC). Preliminary items were generated through a literature review and three rounds of expert Delphi surveys conducted from April 26 to May 23, 2023. An online survey was administered to 299 young farmers under the age of 40 between June 14 and July 14, 2023. Data were analyzed using SPSS 21 and AMOS 18 to examine the scale's reliability and validity. Exploratory factor analysis (EFA) with 131 responses resulted in the selection of 24 items for the general tendency domain and 22 items for the agricultural activity preference domain. Confirmatory factor analysis (CFA) was subsequently conducted with a separate sample of 168 participants to assess model fit, internal consistency, and convergent validity. The ACII, structured around six RIASEC subfactors across the two domains, demonstrated acceptable psychometric properties. These findings suggest that the ACII is a reliable and valid tool for assessing career interests among young individuals in agriculture and may serve as a practical framework for career guidance and field placement based on individual aptitude.