• 재활복지
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• v.21 no.2
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• pp.113-137
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• 2017

In this study, we explore whether and how the experience of discrimination and social support affects physical health and mental health through disability identity among the disabled aged 50 and over. We also examine such relationship differs by the degree of disability. For the empirical test, we utilized the data from the Panel Survey for the Disabled conducted by our research team in 2016. According to structural equation model analysis, social support has a direct effect on disability identity. It also has a direct effect on physical health. As for the mental health, there are found direct effects of discrimination experience, social support, disability identity, and physical health, Furthermore, social support influences the mental health through disability identity. This finding suggests that social support for the disabled in old age increases disability identity and, in turn, it contributes their mental health. In the meanwhile, multiple group comparison analysis reveals the effect of discrimination experience on disability identity is found for those with lower level of disability but not for their counterparts. This seems to result from that the level of common ground which constitutes disability identity is low for the severely disabled. Thus, it requires our efforts to enhance disability identity focusing on common ground for the severe disabled.

• International Area Studies Review
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• v.20 no.3
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• pp.45-80
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• 2016

This paper examined, using three indicators, urban area rate, urbanization rate and urban population density upon the status of urbanization since the 2000s in Southeast Asia. This study also carried out an empirical analysis on the effects of urbanization on economic growth using the Williamson's inverted U-shape hypothesis. In addition, this study calculated the thresholds by which urbanization starts to have positive effects on economic growth by using estimated coefficients, and comparatively analyzed each Southeast Asian country's status. The empirical analysis results opposite to the Williamson's hypothesis. This means that the hypothesis asserting that urbanization has positive effects on economic growth in a country with low economic development phase and income level, but that urbanization can have negative effects on economic growth, if a country's income level is beyond a certain level(threshold), is not supported in this study. In summary, the economies of agglomeration represented as localization economy and urbanization economy is realized to some degree in terms of urbanization in Southeast Asia. Also, urbanization in Southeast Asia has positive effects on economic growth through knowledge spillover, the active exchange of ideas and productivity improvement. In examining the meaning of Southeast Asia's urbanization, policy consideration needs to be conducted, and efforts should be made to maximize the positive effects of the economies of agglomeration and knowledge spillover on economic growth.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.373-381
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• 2018

This study investigates convergent influence on TOEIC learning flow and its association with self efficacy, academic control and school resilience among health college students. Data collection was carried out using a self-administered questionnaire from May 1 to May 29, 2018 and the target was randomly selected 255 health college students in TOEIC class from college located in J city. TOEIC learning flow was positively correlated with self efficacy, academic control and school resilience. With the analysis of covariance structure, we could confirm relationship among self efficacy, academic control, school resilience and TOEIC learning flow. School resilience was more influential on TOEIC learning flow than self efficacy and academic control. The results of the study indicate that the efforts to manage these factors are required to increase TOEIC learning flow of health college students in TOEIC class. The results are expected to be used to develop TOEIC learning curriculum increasing the TOEIC learning flow among health college students in TOEIC class. In the following study, the survey about additional factors of influence on TOEIC learning flow will be needed.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.1-10
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• 2018

For local festivals to be successful, it is important to cooperate with various entities and effectively utilize festival-related resources. Recently, many efforts have been made to improve the operation and management performance of local festivals in Korea, but systematic management and IT support have been insufficient. In this study, the factors affecting the IT governance of local festivals were derived through a literature review and the relationship to the festival performance was analyzed empirically. A survey was conducted with local festival organizers and stake holders, and the research model was verified using the regression analysis with total 109 samples. According to the results of the analysis, it was confirmed that marketing, processes and service management have a significant effect on festival performance within IT governance. The effect of festival performance on resource management was not statistically significant. This study demonstrates that the systematic operation and management of local festivals using IT governance is necessary for local festivals. It will be more meaningful if further study discuss the IT utilization guidelines and success cases through the innovative use of IT for local festivals.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1577-1605
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• 2018

This study analyzes China's technology billionaires. However, this study does not show the accumulating process of wealth in each of the Chinese billionaires, because there are many technology billionaires, but only deals with the macro analysis of the technology billionaire; the pattern of existence, comparison with other industries, the process of wealth creation reflecting China's particularity, and comparison with the world's technology billionaires. The findings of this study are as follows. First, more than 10 billion yuan of Chinese billionaires will emerge from 2004. Second, in the early days, illegal and corruption made rich, but the wealth of own efforts has gradually increased. Third, the real estate and manufacturing billionaires are still strong overall, but the growth of billionaires in technology, medicine and finance industry is remarkable. Fourth, in the case of the top 10 richest, four are from real estate, four from technology, and two from manufacturing and distribution. Most technology billionaires are in Guangdong, Zhejiang, Beijing and Shanghai. The determinants of the number of billionaires are GDP, exchange rate to US Dollar and Shenzen Stock Index, and those of technology billionaire are GDP and exchange rate. Given the relationship with existing theories, this study can be called the fifth type of billionaire research. Conceptually, the main reason for accumulating wealth is the search for policy opportunities, market opportunities and technology opportunities.

• Management & Information Systems Review
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• v.38 no.2
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• pp.83-103
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• 2019

Supply chain management(SCM) requires efforts to search for methods for mutual growth with partner companies and to maintain continuous cooperative relations in order to gain a competitive edge. Because information competencies play a big role within the supply chain, it is essential to examine the relationship of information sharing and partnership quality that can affect information competency. In order to maintain continuous business relations between partner companies, it is necessary to identify the obstacles with partner companies resulting from the imbalance of power within a supply chain and to take on a strategic approach for effectively managing such obstacles. Therefore, there is a significant need to discuss strategic approach methods to enable the logic of mutual growth through the CSV that is worth learning from the partner company and the attributes of non-mediated power. CSV will be reviewed from various aspects as a new management paradigm in the future. This study aims at suggesting a continuous growth model for companies by solving social problems through the integration of CSV and the concept of non-mediated power to advance the information competencies of SCM. A total of 142 copies of survey forms for SCM Implementation Companies were using the PLS structural equation modeling for an analysis, and the following are the findings. Results of this study showed that both CSV and non-mediated power had significant impact on information sharing and partnership qualities, and the conclusion that it is possible to enhance information competency through information sharing and partnership quality. Based on this, this study proposes the implication that it is necessary to elevate awareness of CSV and non-mediated power as variables for the coexistence of SCM participating companies.

• The Mathematical Education
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• v.58 no.1
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• pp.101-120
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• 2019

The goal of this study was to apply an expectancy-value model(Wigfield & Eccles, 2000) to explain changes in six multi-ethnic students' achievement motivation in mathematics during sixth (2012) to eighth (2014) grades. In order to achieve this goal, we used narrative research methods. Although individual students' achievement motivation and mathematics related life experiences differed, there are some common factors influencing their motivation development, especially (a) roles played by parents and teachers; (b) assessment of peers' competencies; (c) past learning experiences related to mathematics curriculum; (d) perception of the relationship between mathematics competency and other subjects; (e) home backgrounds; and (f) perceived task values. In this study, we achieved some insight into why some multi-ethnic students are willing to study hard to get good scores while others are uninterested in mathematics, and why some multi-ethnic students are likely to pursue new mathematical tasks and persist despite challenges, while others easily give up studying mathematics in the face of adversity. We argue that in order to increase and sustain multi-ethnic students' achievement motivation, educators and parents should recognize that motivation is contextually formulated in the intersection of current people, time, and space, not a personal entity formed in an individual's mind. The findings of this study shed light on the development of achievement motivation and can inform efforts to develop multi-ethnic students' positive motivation, which might influence their mathematics achievement and success in school.

• Journal of The Korean Association For Science Education
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• v.41 no.3
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• pp.251-266
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• 2021

The purpose of this study is to explore the life history of a highly experienced elementary school teacher, Mr. Park and to understand how his science teaching practices have changed throughout his educational career. Using life history interviews with Mr. Park and his life history materials as data sources, a life story of the participant teacher was constructed. The ways teaching changed in the inter-relationship between external and personal factors were then analyzed according to three temporal periods of teaching changes. It was revealed that in the first period of teaching change, Mr. Park changed his science teaching practices by actively accepting influences from external factors, which in turn enabled him to start developing his expertise in student-centered science instruction. By contrast, in the second period of teaching change, Mr. Park strengthened his own ways of teaching while responding critically to the trends of educational change by external factors. In the third and final period of teaching change, Mr. Park made changes in teaching practices by taking advantage of his personal factors to convert influences of external factors into positive ones. Based on these findings, it was suggested that educational policies for teaching changes should be provided in consideration of teachers' life cycles and their expertise and that teachers should make efforts to reflect on the factors for educational change and transform them into positive ones.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.32 no.6
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• pp.384-395
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• 2020

Breaking waves generated by wave shoaling in coastal areas have a close relationship with various physical phenomena in coastal regions, such as sediment transport, longshore currents, and shock wave pressure. Therefore, it is crucial to accurately predict breaker index such as breaking wave height and breaking depth, when designing coastal structures. Numerous scientific efforts have been made in the past by many researchers to identify and predict the breaking phenomenon. Representative studies on wave breaking provide many empirical formulas for the prediction of breaking index, mainly through hydraulic model experiments. However, the existing empirical formulas for breaking index determine the coefficients of the assumed equation through statistical analysis of data under the assumption of a specific equation. In this paper, we applied a representative linear-based supervised machine learning algorithms that show high predictive performance in various research fields related to regression or classification problems. Based on the used machine learning methods, a model for prediction of the breaking index is developed from previously published experimental data on the breaking wave, and a new linear equation for prediction of breaker index is presented from the trained model. The newly proposed breaker index formula showed similar predictive performance compared to the existing empirical formula, although it was a simple linear equation.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.237-254
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• 2020

Housing vacancies have become a major issue in urban areas, there have been many efforts to address this issue at the national and local levels. The purpose of this paper is to investigate the factors contributing to housing vacancies in old town Incheon in South Korea. In particular, the research focuses on examining the effects of multiple levels of factors on housing vacancies in a comprehensive way; the three levels of factors were identified with a literature review including housing (Level 1), Neighborhood (Level 2), and Region (Level 3). A multi-level logistic regression model was used to examine the relationship between 13 factors in three spatial levels and housing vacancies. As a result, the factors in all three levels were able to explain housing vacancies including site area and shape, proximity to major roads (Level 1), ratio of houses in designated urban renewal area and slope (Level 2), and ratio of the elderly living alone, land price, changes in land price and ratio of new houses (Level 3). These results show that the combination of the physical inferiority of the housing site and the neighborhood environment and the economic and social vulnerability of the region is likely to increases the number of vacant houses. This study also suggested that a multi-dimensional policy strategy is needed to solve the problem of housing vacancies, and urban policies, such as supplying new housing or urban renewal area designation, should be carefully implemented in a way not to create housing vacancies.