• Korean Journal of Social Welfare
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• v.63 no.2
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• pp.261-289
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• 2011

This study has been conducted to assess the effectiveness of the elderly employment programs through change of social capital by understanding how the elderly employment programs in the elderly employment policy of Korea has effected the change of social capital. The method of research was to design the research in the nonequivalent control groups design from the quasi-experimental design for the 500 elderly who participated and 250 who have not participated in the elderly employment programs through distributing structured questionnaire by classifying into before and after the project during 7 months from March 1, 2010 to September 30, 2010 to those above 65 living in Changwon. The social capital which is an important variable among the measurement index of the study has been set as trust, network, and social participation fields based on the aforementioned theoretic background. When the fact that there is a partial difference in the change of social capital of the elderly according to the participation in the elderly employment programs and the timing (before/after) is looked at in terms of change of social capital after controlling the general character of the elderly and the pre-score, there are differences per timing according to the participation in the elderly employment programs. Thus, the participation in the elderly employment programs had a significant difference in the change of social capital. It is possible to see that the trust, network, and social participation of the social capital all increased in the elderly with difficulties in their living status. It can be seen that the participation in the elderly employment programs brings forth increase of social capital for the elderly with difficulties in their living status. Among the social capitals, the elderly who participated in the elderly employment programs showed that the trust increased the most. Consequently, in order to increase the comprehensive social capital, the programs must be carried out focused on the vulnerable class in parallel to the elderly employment programs for the general elderly of other classes.

• The Journal of Industrial Distribution & Business
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• v.9 no.3
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• pp.45-56
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• 2018

Purpose - The Korean university education system is facing innovation and change, including cooperation between industry and university, Therefore It is important to activate the industry-university cooperation. This paper aims to demonstrate the factors that activate industry-university cooperation, particularly about the voluntary participation induction by industry and researching in path dependency perspectives. Research design, data, and methodology - The subject of this research were companies that are aware of the industry-university cooperation program. This research hypothesis is derived from the literature of previous studies of industry-university cooperation, This study have constructs that was defined operationally with reference to previous studies, this research model design to figure out structural relationship among technology leadership of university, university specialization, local network strength, fixation of local economy, recognition of path dependence, participation by industry, performance of industry-university cooperation. From 2017 July. 1 to Sept. 31, questionnaire survey targeting company staff who is involving in industry-university cooperation. 257 questionnaire survey had conducted. 249 investigated data were used for empirical analysis except wrong data. This data were used for AMOS(structural equation) & Regression statistics to verify hypothesis which developed by researcher. Results - The results of this study are as follows. First, technology leadership of universities has a significant effect on voluntary participation by industry. University specialization has significant effect on voluntary participation by industry. Second, local network strength has significant effect on voluntary participation by industry. but fixation of local economy does not affect voluntary participation by industry. Third, recognition of path dependence has moderating effect between Independent(university, company characteristics) and dependent variables(voluntary participation by industry) When recognition level of path dependence is high, preceding factors have a significant effect on voluntary participation by industry than recognition level of path dependence is low. As a result, the degree of recognition of path dependence was shown important variables that induce voluntary participation of industry for industry-university cooperation program. Conclusions - This study suggests that voluntary participation of industry is a very important factor in the achievement of industry-university cooperation. Recognition of interdependence as well as leading factors that encourage voluntary participation of industry is also just as important. If recognition of path dependence was high, Industry's voluntary participation was high.

• Research in Community and Public Health Nursing
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• v.26 no.4
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• pp.342-354
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• 2015

Purpose: The purpose of this study was to examine social capital and health-related quality of life (HRQoL) of residents who were living in the three regions(Masan, Jinhae, and Changwon) of integrated Changwon and to analyze the effect of social capital on HRQoL. Methods: This study used the Masan, Jinhae and Changwon data of the 2013 Community Health Survey. The social capital questionnaire consisted of three subdomains (trust, participation, and network). HRQoL was measured with the Korean-version EQ-5D. The effect of social capital on HRQoL was analyzed using multiple regression with controlling for general characteristics and health behavior. Results: The trust level of Masan citizen was highest among the three regions. Jinhae citizen showed the highest level of participation and network out of the three regions. Trust was not a significant influencing factor in any of the three models. Participation was a significant influencing factor in all of the three models. Network was a significant influencing factor only in the Masan model. Conclusion: Participation was the most important factor for health among the three social capital subdomains. Strategies for encouraging social participation are needed for health promotion for the residents of integrated Changwon.

• Knowledge Management Research
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• v.13 no.4
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• pp.1-12
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• 2012

This study is to analyze the effect of participation in sports for all on the formation of social capital. For this purpose, this study used convenience sampling method with the 150 subjects who participated Sports for All in Seoul and Gyeonggi area. and selected 150 questionnaires excluding 30 unsuitable for the data. For data analysis was made by SPSS 17.0, performing exploratory factor analysis, reliability analysis, correlation analysis and multiple regression model. This analysis reveals that (1) participation eagerness in sports for all influence on influence on the formation of social capital.(social capital consist of information sharing, norms, trust, network) (2) participation period of time and participation frequency in sports for all don't influence on on the formation of social capital. (3) socioeconomic background don't influence on the formation of social capital. Therefore, it is necessary to improve the eagerness in sports for all.

• Asian Journal for Public Opinion Research
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• v.10 no.3
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• pp.178-199
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• 2022

Two surveys for exploring communicative paths toward political participation were conducted with relatively large samples of Americans (N = 1001) and South Koreans (N = 1166). Hierarchical regression modeling of the relationships among demographics, personal networks, news consumption, and cross-cutting discussion and political participation demonstrated mostly commonalities between the two samples, including the interaction between political diversity and Twitter usage for news access but with distinct effect sizes of cross-cutting discussion on political participation. We attribute the differences to the two countries' distinct histories of democracy and culture, and the commonalities to the general relationships between cross-cutting discussion and political participation moderated by strong ties political homogeneity.

• Journal of Electrical Engineering and Technology
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• v.12 no.1
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• pp.478-485
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• 2017

Urban DC railways have played an important role in urban transportation, and railway operation and energy management have been emphasized to be important to achieve maximum efficiency from existing infrastructure. Fast, accurate DC railway power flow analysis is required to operate a DC railway efficiently, and this paper proposes a novel methodology to analyze the DC railway power network by implementing the participation factor (PF). The PF concept consists of a correlation between the vehicle and the substation, as explained using zones based on the position of the vehicles running on the route. Then, the DC railway powerflow is calculated using the PF concept. Finally, the usability of the proposed method was validated via case studies with actual railway operation data, and we discuss some of the advantages of the suggested methodology.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.159-168
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• 2022

No one denies the importance of online courses, which provide a very important alternative, especially for students who have jobs that prevent them from attending face-to-face in traditional classes; Engagement is one of the most important fundamental variables that indicate the course's success in achieving its objectives. Therefore, the current study aims to build a model using machine learning to predict student engagement in online courses. An online questionnaire was prepared and applied to the students of Jouf University in the Kingdom of Saudi Arabia, and data was obtained from the input variables in the questionnaire, which are: specialization, gender, academic year, skills, emotional aspects, participation, performance, and engagement in the online course as a dependent variable. Multiple regression was used to analyze the data using SPSS. Kegel was used to build the model as a machine learning technique. The results indicated that there is a positive correlation between the four variables (skills, emotional aspects, participation, and performance) and engagement in online courses. The model accuracy was very high 99.99%, This shows the model's ability to predict engagement in the light of the input variables.

• Health Policy and Management
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• v.17 no.4
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• pp.54-81
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• 2007

The paradigm of health promotion requests community participation and its active problem-solving. Community is conceptualized as a resource pool to be organized. Such resource is called community capacity. Community participation is a process of capacity building. Community voluntary associations are considered as valuable resource to be used for health promotion. This paper tried to identify the network structure among community voluntary associations and to infer the possibility to make such network of organizations participate in health promotion programs. Two survey data were used for this research: 1) Measurements and Evaluations of Community Capacity on Dobong-gu (N=94) 2) A development plan of health medicine service to be Healthy Gangdong-gu (N=69). The questionnaire included such variables measuring community capacity as leadership, membership, organizational resources, and inter-organizational network, etc. Both regions had the following common characteristics: 1) There were positive correlations between the organization's budget and membership. 2) Organizational types were associated with their founded years. Two regions showed the following differences: Dobong displayed the high density of community organizations, but Gangdong showed the low density. Dobong community organizations were able to be classified into three network clusters such as women & environments, youth & adolescent, and sports organizations. Each cluster of organizations favored the different type of health promotion programs. Gangdong community organizations were less developed, and not possible to be clustered. Depending upon the level of community capacity or community organizations' differentiation, the strategy of community participation could be settle down in different ways. Particularly the health agency had to pay more attention to support the growth of civil organizations.

• Journal of Information Technology Applications and Management
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• v.16 no.2
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• pp.45-63
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• 2009

China has the largest number of the user of web 2.0 such as messengers and blogs, as of 2008 year. Chinese Internet digital market will grow from $85 billion in 2007 to $264 billion in 2015. The importance of Chinese Internet business is increasing, because of its size and growth potential. This research is focused on following two questions. First, what are the major characteristics of social networking services in China? In order to find out the answer about this question, the case study on Tencent QQ and Sina Poco, the most representative social networking services company in China, was done. And the reason of the use of social networking services, their contents, and the attitude toward the paid service were identified. Second, what are the major factors influencing the use of social networking services in China. User participation, network effect, usefulness, and system quality were inferred as the factors influencing the use. These factors were based on motivation theory, technology acceptance model, and the related research papers. This research model was proved by data analysis using Partial Least Square. As results, the use of social networking services was influenced by usefulness, network effect, user participation, and system quality. But social influence was not significant of the use of social networking services.

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.300-330
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• 2018

Enterprises' participation in the collaboration research is one of the effective and typical methods through which technologies go into the market or are transferred to other sectors. This study reviews enterprises' participated collaboration research and analyzes their network for disaster and safety management area. From 2005 to 2016, 786 technical papers from four representative journals for disaster and safety management in Korea are compiled based on the authors whose affiliations are from enterprises. During the research period, collaboration research is found to be in an increasing trend in general. However, the number of technical papers with three or less authors is in a decreasing trend, whereas that with four or more authors is in an increasing trend. This fact implies that the range of enterprises' collaboration research is widening. Technical paper productivity and each entity's collaboration network are evaluated using participation-weight based author score. Over the research period, a few universities, which attract most of the enterprises, are found to have higher productivities and centralities. Public enterprises show higher participation weights. Also, sectors such as construction, engineering, and electronics demonstrate higher weights. This study is particularly meaningful because enterprises' participation status in collaboration research for disaster and safety management area is systematically analyzed for the first time in Korea. The network analysis result from this study will be especially helpful in establishing technology transfer strategy.