• 한국사회복지학
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• 제63권2호
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• pp.261-289
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• 2011

본 연구는 노인일자리사업이 노인의 사회적 자본 변화에 어떠한 영향력을 미치는지 규명하여 노인일자리사업의 효과성을 사회적 자본 변화를 통해 평가하고자 하였다. 노인일자리사업에 참여한 노인 중 사회적 자본이 변화하였을 때, 사회적 자본의 변화를 유형별로 나누어 참여노인의 인구사회학적 특성과 노인일자리사업 특성을 변화유형별로 비교해 보았다. 이는 노인일자리사업 참여가 노인 삶을 변화시키는데 직 간접적인 역할을 할 것이라는 실증적 자료를 제공할 수 있다. 노인일자리사업에 참여한 노인 중 사회적 자본이 변화하였을 때, 생활상의 어려움에 있는 노인층에서 사회적 자본 중 신뢰, 관계망, 사회참여가 모두 증가하였고, 노인일자리사업 참여가 생활상의 어려움을 가진 노인층에게 사회적 자본 증가의 효과를 주는 것으로 볼 수 있다. 이들 사회적 자본 중 노인 일자리사업에 참여한 노인은 신뢰가 가장 많이 증가하였다. 특히 생활상의 어려움에 있는 노인층과 생계비를 벌기 위해 참여한 노인층에서 사회적 자본 중 신뢰, 관계망, 사회참여가 모두 증가한 것을 볼 수 있으며, 노인일자리사업이 생활상의 어려움을 가진 노인층에게 사회적 자본 변화의 효과가 있는 것으로 나타났다. 모든 일자리유형에서 사회참여는 상승하였고, 생계를 위해서 참여한 노인층이나 생활상의 어려움이 있는 노인층에서 특히 사회참여가 증가하였다. 짧은 참여기간 동안의 조사로 나타난 결과이기도 하지만, 궁극적으로 노인의 노동참여를 통한 사회참여는 보호적 시장에서 이루어지는 것이 효과적이었다고 볼 수 있다.

• 지역사회간호학회지
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• 제26권4호
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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.

• 산경연구논집
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• 제9권3호
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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.

• 지식경영연구
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• 제13권4호
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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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• 제10권3호
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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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• 제12권1호
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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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• 제22권9호
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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.

• 보건행정학회지
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• 제17권4호
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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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• 제16권2호
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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.

• 기술혁신학회지
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• 제21권1호
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• pp.300-330
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• 2018

기업이 참여하는 공동연구는 기술이 시장으로 나가는 통로이자, 기술이전의 방법 중 하나이다. 이러한 사실을 감안하여 본 연구에서는 네트워크 분석을 통해 재난안전분야 기업협력 공동연구에 대해 고찰해보고자 한다. 이를 위해 2005년부터 2016년까지 재난안전분야 학술지 4종에 수록된 공동저술 논문을 대상으로 기업소속 저자가 참여한 논문 786건을 분류하여 분석을 실시하였다. 해당 기간 동안 기업협력 공동연구는 전체적으로 증가 추세에 있는데, 공저자 수가 적은(3인 이하) 논문은 감소하고 공저자 수가 많은 논문은 증가하였다. 이는 기업이 참여하는 재난안전분야 연구협력의 폭이 더 넓어지고 있음을 의미한다. 또한 참여비중을 고려한 저자점수를 통해 기관별 논문 생산성을 파악하고, 전체 기관의 협업 네트워크를 분석하였다. 전 시기에 걸쳐 기관생산성 및 중심성이 높은 기관은 소수의 대학이었고, 다수의 기업이 이들과 공동연구를 수행한 모습이 보인다. 분야별로는 건설, 엔지니어링, 전자 관련기업과 공기업의 참여도가 높았다. 본 연구는 재난안전분야 공동연구에 기업이 참여한 현황을 전체적으로 분석해보았다는 점에 의의가 있으며, 이번 분석을 통해 발견된 기관 간 협력관계는 기술이전 전략수립에 도움이 될 것이다.