• Korean Journal of Human Ecology
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• v.20 no.5
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• pp.941-953
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• 2011

The purpose of this research was to investigate the effects of demographic, occupation value, career attitude, and social support on high school students' career preparation behavior. The data was collected from the Korean Survey on of the Career and occupation of Youth in 2009(N=3,499). Descriptive statistics, One-way ANOVA, T-test, correlation analysis, and multiple regression analysis were performed on SPSS 17.0. The results of this study are as follows: first, career preparation behavior according to gender was much higher for female students than male students. There were statistically significant differences in career preparation behavior according to school years. The first year students' perception in of career preparation behavior was higher than the second, and third year students. The first year students' perception in of career preparation behavior was higher than second, and third year students. Second, career preparation behavior had a significant correlations with work value, career attitude, family support, and school support. Third, this study demonstrated that career decisiveness and family support was a strong factor in career preparation behavior. In addition, among all factors, the career decisiveness of career attitude was proved to be the most influential factor on career preparation behavior. The study discusses practical implications for career education programs.

• Journal of Science and Technology Studies
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• v.18 no.3
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• pp.255-289
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• 2018

The social problem-solving R&D is different from the goal and process in comparison with research aimed at scientific excellence and industrial innovation. It pursues social values and active participation of the end-user civil society. In this study, we try to derive its characteristics by analyzing the cases that are evaluated as successful social problem solving R&D project. In order to analyse the social problem-solving R & D case, these four variables are selected; 1) social and technological planning for problem solving 2) participatory technological development 3) law, system and delivery system development for innovation deployment 4) scale-up of new R&D process. Those are important issues identified through case studies: 1) the tools and support services needed to carry out social and technical planning effectively, 2) the role of the Living Lab to coordinate opinions with experts and users, 3) the legislative and institutional improvement activities as important as technological development, 4) researcher's change through interaction with end user.