• Journal of the Korean Home Economics Association
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• v.50 no.7
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• pp.59-66
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• 2012

The purpose of this study was to identify a causal relationship in the career preparation behavior, parental social support, career decision making self-efficacy and the career maturity of the pre-service elementary school teachers. A total of 374 questionnaires were used for data analysis, excluding the 23 copies deemed insincere in response. To ensure the reliability and validity of the questions, technical statistics of the frequency, ratio, average, standard deviation, skewness, and kurtosis via PASW 18.0, item-total correlation, the totality, and the reliability analysis. The structural analysis via AMOS 7.0 in the bootstrapping method was undertaken to perform the path analysis among the variables and to assess the suitability of the model. The findings of the study led to the following conclusions: First, the causal model for the career preparation behavior, parental social support, career decision making self-efficacy, and the career maturity of the pre-service elementary school teachers is suitable to empirical analysis on research variables. Second, the career decision making self-efficacy of pre-service elementary teachers has direct effect on career preparation behavior positively. Third, parental social support of the pre-service elementary teachers has indirect effects on the career preparation behavior positively.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.153-154
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• 2012

The accuracy of cost estimation at an early stage in school building project is one of the critical factors for successful completion. So many method and techniques have developed that can estimate construction cost using limited information available in the early stage. Among the techniques, Support Vector Machine(SVM) has received attention in various field due to its excellent capacity for self-learning and generalization performance. Therefore, the purpose of this study is to verify the applicability of cost prediction model based on SVM in school building project at the early stage. Data used in this study are 139 school building cost constructed from 2004 to 2007 in Gyeonggi-Do. And prediction error rate of 7.48% in support vector machine is obtained. So the results showed applicability of using SVM model for predicting construction cost of school building projects.

• Asia-Pacific Journal of Business
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• v.9 no.1
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• pp.91-106
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• 2018

An appreciable number of Chinese firms have successfully expanded their businesses into foreign economics although they have limited resources. Advocating that home country government supports can mitigate firms' resource-disadvantages in international expansions, we attempted to investigate whether and how the Chinese government's support enables Chinese firms to compete in foreign markets. Based heavily on the knowledge-based theory of the firm and the resource-based theory of the firm, we developed a model that explain and predicts the effects of home-country government-supports on superior financial performance. The model was empirically tested using a accounting dataset regarding Chinese firms' 323 international expansion events from 2008 to 2015. Empirical evidence presents that the Chinese government's support has a positive effect on Chinese firms' international success and that these firms' marketing, technological, and managerial resources positively moderate the effect of the government support on the firms' international success. Nonetheless, because we employed an event-study method, the limitations of the method can be applied to the current research. In addition, because of the empirical context, the results of the research might lack generalizability. We, however, provided an understanding how firms from emerging countries can succeed in international expansions specifically when they have lack of resources for international competition.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.171-175
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• 2005

The purpose of this study was to suggest the Support and Infill system for 126.6m$^2$-sized housing unit which meets residents' variety. The subjects were 100 housewives who lived in 126.6m$^2$-sized housing unit in the apartment complex, Busan. The data was collected by using model and questionnaire. The model was made to be same as the current 126.6m$^2$-sized floor plan. The residents preferred the flexible housing unit apartment complex. Also, the residents' needs for floor plan of housing unit were various. Therefore, the development of flexible housing unit is needed. On the basis of these findings, the support and infill system for 126.6m$^2$-sized housing unit was suggested.

• Journal of Korean Biological Nursing Science
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• v.17 no.1
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• pp.50-59
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• 2015

Purpose: The purpose of this study was to determine the relationship among concepts of the salutogenic model - sense of coherence, occupational stress, and health status in clinical nurses. Methods: Participants were recruited from a hospital in Seoul using a stratified random sampling. A total of 349 nurses participated in the study and data were collected using a self-administered questionnaire. The structural equation model was used to assess the relationships among the variables. Results: The results of the study showed that occupational stress and health behavior were significant factors, directly explaining the health status of nurses. Factors explaining occupational stress were: sense of coherence, and social support. Sense of coherence showed higher effects on occupational stress than those of social support. Sense of coherence and the work conditions (work experience and shift work) of nurses had a significant and direct effect on health behavior. Sense of coherence and social support had a significant and indirect effect on health status through occupational stress and health behavior. Conclusion: Strategies to enhance sense of coherence and social support are necessary for successful health promotion programs for nurses.

• The Journal of Information Systems
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• v.27 no.4
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• pp.97-114
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• 2018

Purpose Compliance support system (CSS) aims to support employees' voluntary compliance activities, however, it requires a different approach from the acceptance of other general information systems. In other words, the user's concern that his/her compliance activities recorded in the system are monitored may hinder the active use of the system. In this regard, we set up a research model to investigate the factors that affect the intention to use CSS, by including perceived usefulness, compliance commitment, and surveillance concern. Design/methodology/approach A questionnaire survey was conducted for the employees of a domestic oil-company, who operates their own CSS. Based on the 865 data collected, a structural model analysis using PLS was conducted. As a result, all four hypotheses were accepted. It was found that perceived usefulness of CSS has a positive effect on the intention to use CSS. Compliance commitment has a positive effect both on perceived usefulness and intention to use CSS. In contrast, surveillance concern of one's non-compliance recorded in the CSS was shown to have a negative effect on the relationship between compliance commitment and perceived usefulness. Findings This study has academic implications in that it extends the viewpoint of the existing technology acceptance mechanism by examining the two aspects, i.e., compliance commitment and surveillance concern. This study may also provide practical directions to strengthen the use of the active compliance support system by the employees.

• Steel and Composite Structures
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• v.45 no.5
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• pp.715-728
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• 2022

Closed steel supports of different shapes are used in mining and underground constructions. The supports are prefabricated from rolled, usually robust, steel profiles. The load carrying capacity of a support is considerably influenced by the active loading and passive forces. The passive forces are induced by interactions between the support and the surrounding rock mass. The analysis herein comprises three parts: The first part consists of structural geometry processing. The second part involves finding the numerical solution of a statically indeterminate structure for a specified load. The third part is calculation of the load carrying capacity and the components of internal forces and deformations. For this, the force method and numerical integration are used. The Winkler model is applied when the support interacts with the surrounding environment. The load carrying capacity is limited by the slip resistance of the connected parts and it is limited by reaching the ultimate state of the profile. This paper serves as a comprehensive reference for the determination of the load carrying capacity of closed steel supports and includes stepwise derivations of the governing formulas.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.325-332
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• 2022

The aim of this research is to use a conceptual model to experimentally evaluate the mediating impact of government financial and training support on structural social capital and non-financial performance of family farms. Questionnaires were used to collect data from family farms in Guangxi, China, from August 25^th to September 8^th, 2021. There were 759 valid responses, accounting for 94.99 percent of the total number of respondents. The scales' reliability and validity, and the research's mediating effects and hypotheses, are tested using SPSS 22.0 and AMOS 26.0. The findings suggest that the impact of government financial assistance on family farms' non-financial performance cannot be substantiated. The intermediary chain connection of financial and training support, on the other hand, has a significant mediating effect between structural social capital and family farm non-financial performance. Direct financial assistance could be thought to encourage family farms to rely too much on funding, making them less competitive in market competition, innovation, and long-term operations. According to the conclusions of the study, government assistance to family farms could take a variety of forms, including providing diversified skills training programs in farming practices, managerial skills, and other areas.

• KIEAE Journal
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• v.11 no.4
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• pp.11-18
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• 2011

In order to solve housing shortage, an apartment has been built and supplied in large quantities in Korea. As such a result, the apartment became a typical housing type in Korea. However, the housing became vulnerable to accommodate rapidly changing life-style & life-cycle of koreans and was lost the concept of Korean traditional housing for inheriting and developing Korean traditional culture. Therefore, this paper aims at eliciting of design elements for development on standard model of long-life housing with durability & flexibility based on data derived from housing consumers's questionnaire survey and expert's opinion surveys. We expect that the standard model developed on the basis of open building applying support & infill elements will be used as a standard model for planning future long-life housing with capacity.

• Journal of the Korean Operations Research and Management Science Society
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• v.22 no.1
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• pp.141-157
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• 1997

The structure and dimensionality of the User Information Satisfaction (UIS) construct is an important theoretical issue that received considerable attentions. The acceptance of UIS as a standardized instrument requires confirmation that it explains and measures the user information satisfaction construct and its component. Based on a simple of 670 respondents who participated in dealing with the Public Management Information System (PMIS), this research used a confirmatory factor analysis to test the alternavtive models of underlying factor structure and assessed the reliability and validity of these factors and items in the PMIS. The result provided a support for a revised UIS model with four first-order factors and one PMIS The result provided a support for a revised UIS model with four first-order factors and one second-order (higher-order) factor in PMIS. To cross-validata these results, the author reexamined two prior data sets. The results showed that the revised model provides better model-data fit in all three data sets.