• Title/Summary/Keyword: Social Indicators

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Investment Ranking Decision Using MCDA in Dam Projects (MCDA 기법을 이용한 댐사업의 투자우선순위 결정)

  • Kim, Woo-Gu;Lee, Gwang-Man;Park, Doo-Ho
    • Journal of Korea Water Resources Association
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    • v.39 no.12 s.173
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    • pp.1067-1080
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    • 2006
  • In empirical evaluations of public projects and public provided goods, MCDA(multicriteria decision-making analysis) has helped decision makers with an adequate policy decision-making tool since it allows taking into account a wide range of assessment criteria. As a tool for decision-making of conflict management, MCDA has demonstrated its usefulness in many public projects such as road, dam and harbor construction. In this study, to use this merit of MCDA, dam project assessment indicators from points of social, economic, environmental and practical views are developed based on sustainable development of water resources, and weighting factors are also estimated by means of questionnaire survey. In order to decide project investment rank, developed evaluation indicators are applied to 6 existing dams under investigation for a rehabilitation project. In addition to, it is recognized that the project practicability has become more important indicator as well as environmental and social issues. This is because cooperation and support from a local government and people are regarded as one of the most important problems in public projects recently.

A Study on Social Value Creation in Social Enterprise by Sector - Focusing on Social Enterpreise in Incheon (업종별 사회적기업의 사회적가치 창출에 관한 현황 연구 - 인천의 사회적기업을 중심으로)

  • Yong-Gu kim;Jae Ho Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.1119-1126
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    • 2023
  • This study measured the social value of social economy enterprises in Incheon Metropolitan City using the Social Value Index (SVI) developed by the Korea Social Enterprise Promotion Agency. The results showed that the social value orientation of the business activities of SSEs averaged 9.3 out of 15 points, and their innovation efforts were 8.0 out of 10 points. The average monetary and non-monetary social contribution efforts of SSEs was 5.1 out of 10. When comparing the average sales and social value scores by industry, the manufacturing sector shows that social enterprises have higher average sales and social value orientation of business activities, but lower social return efforts. Social work facility management and business support services have high average sales, but low social value orientation of business activities and efforts to make monetary or non-monetary social contributions. On the other hand, education services; arts, sports, and leisure-related services; and publishing, video, broadcasting, communication, and information services have lower average revenues but higher social value orientation of business activities. These SVI indicators are well utilized by local governments, but not yet by the central government. In the future, governments and public institutions should reflect the differences between sectors when formulating policies for social enterprises.

A Study on the Construction and Application of Social Capital Scale in Social Welfare Organizations (사회복지조직의 사회적 자본 척도 구성과 그 적용에 관한 연구)

  • Moon, Young-Joo
    • Korean Journal of Social Welfare Studies
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    • v.42 no.3
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    • pp.381-407
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    • 2011
  • This study set out to construct an social capital scale that could be commonly used by social welfare organizations and to apply it to examine any differences in social capital among social welfare organizations. For those purposes, the study distributed a questionnaire by mail to social welfare organizations in 15 cities and provinces across the nation and conducted latent means analysis. The major research findings were as follows. First, as a result of exploratory factor analysis and confirmatory factor analysis, the validity and reliability in measurement indicators of social capital were proved to be satisfactory level. Secondly, social capital were found to be interpreted at the organizational level through the review of levels of analysis. Meanwhile, the configural, metric, and scalar invariance of social capital scale were confirmed, which indicates that the social capital scale can be commonly applied to social welfare organizations. Finally, latent means analysis was carried out to examine differences among social welfare organizations in the subindexes of social capital including network connectivity, setting and sharing of vision, reciprocal norm, trust and cooperation, and group participation. As a result, there were significant differences among social welfare organizations in network connectivity, reciprocal norm, trust and cooperation and group participation but no statistically significant differences among them in sharing of vision, goal and core value. Those findings led to implications needed to manage of social welfare organizations.

Neural Network Analysis in Forecasting the Malaysian GDP

  • SANUSI, Nur Azura;MOOSIN, Adzie Faraha;KUSAIRI, Suhal
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.109-114
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    • 2020
  • The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.

A Preliminary Study on the Development of the Design Guideline on Shared Space of Apartment for Healthy Housing (건강한 주거를 위한 공동주택 공용공간 디자인가이드라인 개발에 관한 기초연구)

  • Cho, Sung-Heui;Choi, In-Young
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2011.04a
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    • pp.121-126
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    • 2011
  • This study is a preliminary study to develop design guidelines on shared spaces of apartment for healthy housing. It was tried to set the basic direction of the guideline development by comparing and analyzing related literatures based on the previously identified evaluation indicators of healthy housing of apartment. The major findings were as followings: 1) based on the research conducted before, the characters of shared spaces for healthy housing were classified as physical, mental and social dimensions. 2) According to the comparison and analysis of relevant standards and guidelines, focuses were mostly on the physical dimension, particularly on the human traffic lines of the convenience attributes. Other focuses were on the attractiveness of the apartment complex of the vitality attribute under the mental dimension, and community facilities of the residential stability attributes under the social dimension. Therefore, it was identified that it is required to take complementary measure regarding mental and social dimensions, and design concrete steps to include different attributes of each dimension, in order to develop comprehensive guidelines for shared space.

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INTEGRATED SOCIETAL RISK ASSESSMENT FRAMEWORK FOR NUCLEAR POWER AND RENEWABLE ENERGY SOURCES

  • LEE, SANG HUN;KANG, HYUN GOOK
    • Nuclear Engineering and Technology
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    • v.47 no.4
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    • pp.461-471
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    • 2015
  • Recently, the estimation of the social cost of energy sources has been emphasized as various novel energy options become feasible in addition to conventional ones. In particular, the social cost of introducing measures to protect power-distribution systems from power-source instability and the cost of accident-risk response for various power sources must be investigated. To account for these risk factors, an integrated societal risk assessment framework, based on power-uncertainty analysis and accident-consequence analysis, is proposed. In this study, we applied the proposed framework to nuclear power plants, solar photovoltaic systems, and wind-turbine generators. The required capacity of gas-turbine power plants to be used as backup power facilities to compensate for fluctuations in the power output from the main power source was estimated based on the performance indicators of each power source. The average individual health risk per terawatt-hours (TWh) of electricity produced by each power source was quantitatively estimated by assessing accident frequency and the consequences of specific accident scenarios based on the probabilistic risk assessment methodology. This study is expected to provide insight into integrated societal risk analysis, and can be used to estimate the social cost of various power sources.

Sense of community and community participation for health promotion in urban areas of Korea (건강증진을 위한 지역사회 참여와 지역사회 공동체의식: 대도시 지역을 중심으로)

  • Kang, Min-Jung;Lee, Myoung-Soon
    • Korean Journal of Health Education and Promotion
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    • v.33 no.5
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    • pp.107-119
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    • 2016
  • Objectives: This study aims at examining the association of sense of community with community participation for health promotion in urban areas of Korea. Methods: We analyzed data from 'Community Capacity for Healthy Gangdong Communites' Survey' in 2007. The survey was based on self-reported questionnaires, which were distributed to 1,800 community residents over the age of nineteen in five administrative communities of Gangdong-gu, Seoul, in Korea by using proportionate probability sampling method. We measured 'Sense of community' with four indicators including 'Good neighborhoods', 'Perceived possibility of cooperation', 'Pride of community' and 'Possibility of development' by using 5-point Likert scales. Community participation was measured with the experience rate or the extent of participation by 5-point Likert scales in seven community actions or activities including voting, community program planning, social actions, etc. We examined the association of sense of community with community participation by using regression analyses. Results: This study has shown that sense of community was associated with and made positive impacts on community participation in diverse community actions or activities in urban communities. Conclusions: For promoting community health in urban areas, we can increase community participation more effectively with the efforts of enhancing sense of community.

Trends in Health-related Interventions on Children Attending Community Child Care Centers in South Korea (지역아동센터 이용 아동의 건강 관련 중재연구의 동향 분석)

  • Park, Jiyoung;Baek, Suyon;Im, Mihae
    • Child Health Nursing Research
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    • v.24 no.2
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    • pp.241-251
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    • 2018
  • Purpose: The purpose of this study was to identify trends in health-related interventions on children attending Community Child Care (CCC) centers, which are part of a health policy to provide after-school care for vulnerable children in South Korea. Methods: From 2007, 109 papers were analyzed using the scoping study method. Results: The number of studies increased steadily between 2007 and 2016. Most studies were based on the social sciences, and the participants were mainly elementary school students. Psychological and social interventions were the most common types of interventions with socio-psychological indicators as measurements. In addition, only a few studies had a clearly defined conceptual framework. The majority of studies did not explicitly indicate that they followed ethical considerations. Conclusion: It is necessary to develop health-related interventions for children attending CCC centers using diverse subjects, types, and evaluation methods, along with improvements in the quality of research methodology. Furthermore, it is essential to clearly articulate and implement ethical considerations in research targeting vulnerable children.

An Author Co-citation Analysis of the Researches on the Supply Chain Management (국내 SCM 연구의 저자동시인용분석)

  • Kim, Mi-Ae;Suh, Chang-Kyo
    • The Journal of Information Systems
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    • v.24 no.4
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    • pp.43-60
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    • 2015
  • Purpose This study intended to introduce new approaches to identify the intellectual structure of supply chain management(SCM) researches, which combines author co-citation analysis(ACA) and social network analysis(SNA). Design/methodology/approach We searched RISS(www.riss.kr) and NDSL(www.ndsl.or.kr) database and collected 292 academic papers on supply chain management between 2001 and 2011. Among 9,637 references of these papers, we analyzed 1,848 references that were published by domestic authors. We produced a correlation matrix of 32 author co-citation matrix and conducted multi-variate statistical analysis such as factor analysis. We also performed social network analysis to identify the main researchers in SCM. Findings We found four main sub-areas of supply chain management research: SCM adoption factors, logistics, SCM performance, and SCM structure. We could present the authors who played important roles within the network by using SNA indicators. The finding of this research also suggests more collaborations among domestic researchers are required to overcome the low co-citation rates among domestic authors.

Concept Analysis of Stress in Siblings of Patients with Childhood Cancer (소아암 환자 형제자매의 스트레스 개념분석)

  • Yu, Juyoun;Bang, Kyung-Sook
    • Child Health Nursing Research
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    • v.23 no.2
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    • pp.190-198
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    • 2017
  • Purpose: This study was conducted to define the concept of stress in siblings of childhood cancer patients. Methods: The hybrid model was used to perform the concept analysis of stress in childhood cancer patients' siblings. Through reviews of 16 studies in the theoretical phase and interviews with 20 siblings in the field phase, the derived results were brought together in the integration phase. Results: The concept of stress in siblings of patients with childhood cancer was found to have 6 attributes and 28 indicators in 3 domains. Personal factors included 2 attributes (fear about childhood cancer and immature coping skills), and family factors had 2 attributes (changes in relationships with family and changes in family environment), social factors had 2 attributes (changes in relationships with friends and in the school experience, and insufficient social support). Conclusion: The stress of siblings of childhood cancer patients was defined as a state of tension associated with personal, family, social factors that can be related to their siblings' childhood cancer. The findings in this study provide the base for the development of a tool for measuring siblings' stress and/or the development of nursing programs for these siblings.