• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2021.10a
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• pp.69-70
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• 2021

• Korean Journal of Culture and Social Issue
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• v.24 no.1
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• pp.101-130
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• 2018

Social class has become a major focus of research in the field of Western psychology due to its critical impact on human life. The Korean scholarship in psychology, however, has paid very little attention to the issue of social class despite the deepening of social stratification in the country; and the concepts and measurement they used were typically borrowed from sociology. In this study, I discussed what social class means and how it should be measured in order to emphasize the importance of the concept and its related issues. To this end, I examined a variety of theoretical backgrounds on the measurement of social class and the concept of socioeconomic status (SES)-a term commonly used as a synonym for social class. This study divided the method of measuring social class into objective social class and subjective social class, and outlined the characteristics of each approach and their main indicators. Finally, I assessed the recent trend in the Korean psychology on social class measurement. Among the 23 studies I have found, 65.2% used the objective social class index; and education was the objective indicator they most frequently employed, followed by income and occupation. Social stratification identity was used in all seven studies that applied subjective social class. And seven different words to describe social class was found. Based on these results, I concluded that there should be a call for more direct research on social class variables. In addition, I suggest that 'social class', instead of socioeconomic status, should be used as a preferred term in the future studies and propose a few notes on how to use the objective indicators and subjective social class measurement.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.69-78
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• 2024

Recently, consumers have shown an increasing tendency to seek information related to environmental, social, and governance (ESG) aspects in order to choose products with higher social value and environmental friendliness. In this paper, we proposes a product recommendation system applying ESG indicators tailored to the recent consumer trend of value-based consumption, utilizing a model called MultiSAGE that combines GraphSAGE and GAT. To achieve this, ESG rating data for 1,033 companies in 2022 collected from the Korea ESG Standard Institute and actual product data from N companies were transformed into a Heterogeneous Graph format through a data processing pipeline. The MultiSAGE model was then applied in machine learning to implement a recommendation system that, given a specific product, suggests eco-friendly alternatives. The implementation results indicate that consumers can easily compare and purchase products with ESG indicators applied, and it is anticipated that this system will be utilized in recommending products with social value and environmental friendliness.

• Journal of Korean Society of Rural Planning
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• v.21 no.3
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• pp.145-154
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• 2015

With the rapid change of rural communities and increasing desire for social welfare, the demand for the quality of public spaces and facilities is increasing. However, inefficient location of rural public space and facility has caused problems such as economic inefficiency, inconvenient accessibility, environmental pollution, unsustainable energy use, and disturbance of visual landscape. This study aims to evaluate suitability of public spaces and facilities in three types of rural village: rural downtown village, rural clustered village, and individual village. As a way to measure the suitability of public spaces and facilities, we assessed indicators of suitability in terms of accessibility, usability, biophysical environment, and sustainable management. To evaluate the accessibility, we applied indicators such as distance from residential areas, public transit, market and public facilities. For the evaluation of biophysical environment, we applied indicators such as slope, elevation, aspect, and occurrence of natural disasters. We analyzed digital maps representing the indicators listed above using GIS. We also conducted a survey and face-to-face interviews to evaluate usability and sustainability of management which are not possible to understand through maps. As a result, we identified that suitability of public spaces and facilities in downtown villages is higher than clustered and individual villages. In particular, suitability of infrastructure facilities, social welfare facilities, and income generation facilities in downtown village are higher than those in clustered and individual villages. The suitability of tourism facilities is generally lower than other types of public facility across the three types of villages. Tourism facilities in clustered village have been identified especially unsuitable compared to other types of villages. We expect the outcome of the research is helpful to improve allocation of public spaces and facilities in rural villages.

• Journal of Korean Society of Forest Science
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• v.95 no.6
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• pp.696-704
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• 2006

This study was carried out to evaluate the forest sustainability index of metropolitan and provincial districts in Korea. The forest sustain ability was assessed on the bases of economic, social, environmental axes (phase), which are essential for sustainable development, and establishment. Score of importance for each phase was analyzed by the pairwise comparison of analytic hierachy process (AHP). The forest sustainability indices were measured by 15 indicators of each 3 indicators in economic, social and environmental aspects and 6 indicators in the establishment of infrastructure. The extra weight values of indicators were assigned by the value sum weight method. The forest sustainability indices were assessed for each phase, forest management and health, and integrated index, based on the data from 1995 to 2004. The forest sustain ability indices showed the highest score of 71.8 in Gyeongsangbuk-do and the lowest score of 22.9 in Incheon as of 2004.

• Korean Journal of Social Welfare Studies
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• no.36
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• pp.81-101
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• 2008

The purpose of this study is to analyze characteristics of welfare level for the persons with disabilities in Korean local governments. The study adopted multidimensional scaling and cluster analysis. Based on prior studies and comparative importance research, three indicators were extracted from the welfare circumstance index for the disabled. They are the ratio of the registered disabled population, the ratio of the disabled household in poor households, the ratio of dependence on public finance. Also, nine dimensions and twenty seven indicators were extracted from the welfare level index. The dimensions are as follows : Education, income & economic activities support, welfare services infra-structure, health & welfare service support, movement convenience & safety, rights protection, culture, leisure & information accessibility, welfare administration & budget for the disabled. The findings from the welfare circumstance index show that local governments are divided into three groups and all indicators are statistically significant. On the other hand, the findings from the welfare level index, show that local governments are divided into four groups and five indicators are statistically significant. Based on these findings, the study proposes improvement in the disabled welfare level, and balanced development of local governments.

• Journal of Environmental Impact Assessment
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• v.31 no.5
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• pp.343-358
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• 2022

Due to the recent increase in the disabled population and welfare paradigm, the government is focusing on green welfare and environmental welfare to improve the living environment of the disabled, including the enactment of basic laws and convenience promotion laws. Accordingly, green environmental welfare for the disabled is supported in policy, but there are no evaluation indicators for the green welfare space and healing environment created. Therefore, this study divided the healing environment into physical, psychological, and social aspects, and conducted research using expert FGI to present evaluation indicators that can determine whether spatial roles and functions are appropriate. As a result of the study, the final 51 healing environment evaluation items were derived from 26 physical aspects evaluation items, 14 psychological aspects evaluation items, and 11 social aspects evaluation items. Evaluation indicators derived from this study can be used to evaluate the healing environment created in disabled residential facilities, and can be used as basic data in the planning stage of the healing environment to be created in the future.

• Journal of Korea Port Economic Association
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• v.38 no.4
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• pp.65-85
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• 2022

In this study, in order to derive the priority of indicators and sustainability areas of smart ports, which means ports in the digital era, previous studies and ESG, which have recently been indispensably introduced in all industries worldwide, were studied together. A hierarchical structure was established with upper evaluation items and 20 lower evaluation items in four areas (operational, environmental, social, and governance), and a relative evaluation method of weighting items among the AHP techniques was applied. The pairwise comparison questionnaire consisted of a 9-point scale proposed by Satty (1980). A survey was conducted targeting working-level workers who perform sustainability or ESG(Environmental, Social, Governance)-related work at four representative port authorities in Korea (Busan, Incheon, Ulsan, Yeosu Gwangyang). In order to increase the accuracy of the analysis results, AHP analysis was conducted on 17 questionnaires with a consistency ratio of 0.1 or less. As a result of the analysis, it was confirmed that among the four areas representing the sustainability of domestic smart ports, the operation area had the highest priority, followed by the environment area. In addition, looking at the overall priorities for the 20 detailed indicators, indicators such as operational efficiency, operational planning, energy management, and pollution measurement and management system were found to have high priority. On the other hand, it was confirmed that the social and the governance areas had relatively low importance compared to other areas.

• International Journal of Knowledge Content Development & Technology
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• v.5 no.1
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• pp.15-32
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• 2015

This article analyzes motivations behind social sciences blog posts citing journal articles in order to find out whether blog citations are good indicators for the societal impact or benefits of research. A random sample of 300 social sciences blog posts (out of 1,233 blog posts) from ResearchBlogging.org published between 01/01/2012 to 18/06/2014 were subjected to content analysis. The 300 blog posts had 472 references including 424 journal articles from 269 different journals. Sixty-one (22.68%) of all cited journals were from the social sciences and most of the journals with high frequency were highly cited general science journals such as PNAS and Science. Seventy-five percent of all journals were referenced only once. The average age of articles cited at the time of citation was 5.8 years. Discussion and criticism were the two main categories of motivations. Overall, the study shows the potential of blog citations as an altmetric measure and as a proxy for assessing the research impact. A considerable number of citation motivations in blogs such as disputing a belief, suggesting policies, providing a solution to a problem, reacting to media, criticism and the like seemed to support gaining societal benefits. Societal benefits are considered as helping stimulate new approaches to social issues, or informing public debate and policymaking. Lower self-citation (compared to some other altmetric measures such as tweets) and the fact that blogging involves generating content (i.e. an intellectual process) give them an advantage for altmetrics. However, limitations and contextual issues such as disciplinary differences and low uptake of altmetrics, in general, in scholarly communication should not be ignored when using blogs as a data source for altmetrics.

• Journal of Preventive Medicine and Public Health
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• v.55 no.2
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• pp.144-152
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• 2022

Objectives: This study aimed to identify the social and policy determinants of coronavirus disease 2019 (COVID-19) infection across 23 countries. Methods: COVID-19 indicators (incidence, mortality, and fatality) for each country were calculated by direct and indirect standardization. Multivariable regression analyses were used to identify the social and policy determinants of COVID-19 infection. Results: A higher number of doctors per population was related to lower incidence, mortality, and fatality rates of COVID-19 in 23 countries (β=-0.672, -0.445, and -0.564, respectively). The number of nurses/midwives per population was associated with lower mortality and fatality rates of COVID-19 in 23 countries (β=-0.215 and -0.372, respectively). Strengthening of policy restriction indicators, such as restrictions of public gatherings, was related to lower COVID-19 incidence (β=-0.423). A national Bacillus Calmette-Guérin vaccination policy conducted among special groups or in the past was associated with a higher incidence of COVID-19 in 23 countries (β=0.341). The proportion of the elderly population (aged over 70 years) was related to higher mortality and fatality rates (β=0.209 and 0.350, respectively), and income support was associated with mortality and fatality rates (β=-0.362 and -0.449, respectively). Conclusions: These findings do not imply causality because this was a country-based correlation study. However, COVID-19 transmission can be influenced by social and policy determinants such as integrated health systems and policy responses to COVID-19. Various social and policy determinants should be considered when planning responses to COVID-19.