• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.570-586
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• 2015

The purpose of this study is to analyze the effects of middle-aged retirement planning on individual's quality of life and overall satisfaction, and moderating effects of social and psychological sense of crisis, and the differences of measured variables in the demographic characteristics. Retirement planning that may be the most important factor in the country's social costs is aimed to provide a basis for fixing the interest in advance of retirement planning training and retirement. The subjects are workers who live in the Seoul metropolitan area and Gyonggi-do. Total sample size is 350, then 335 samples were collected on the data. The results of this study can be summarized as follows. First, house ownership and education level among demographic variables affects satisfaction of their life. People who do not own a house shows higher satisfaction, and higher education level affects satisfaction positively. Second, satisfaction is affected by transition to rest negatively, on the other hand, it is affected by expect of new beginning positively. Besides, No moderating effect of social and psychological crisis showed that negative life evaluation role to the independent variables. Third, cognitive information is affected by transition to rest and imposed disruption positively. Besides, job dissatisfaction adjusts between them. Fourth, improvement of life quality is not affected by expect of the retirement planning. On the other hand, there is not moderating effects of social and psychological sense of crisis.

• Architectural research
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• v.21 no.1
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• pp.1-8
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• 2019

Social housing has a long history in Germany from the first still existing social housing ever, the "Fuggerei" in Augsburg (founded in 1521), over the last 100 years from the end of World War I to today's situation where the need in social housing has increased while the number of housing projects and the number of existing apartments in this program has decreased or ended. Socio-economic changes like demographic evolution, more single households, greater working abilities in bigger cities and an unforeseen highly increased number of migrants within Europe mostly but also from other countries led to the need of affordable housing for a growing number of people who are not able to care for their housing needs in their own responsibility. This is especially true for bigger cities, where the offer of affordable housing is nearly non-existing any more. The family Fugger, a trade and banking dynasty at their time, established a very modern housing concept, providing good and healthy living space for their workers. In 2018 now some trade companies, discounters (ALDI, LIDL, Norma) and IKEA announce to combine their interest in sales in the inner cities with the municipal interest of redensification of existing housing areas and conversion to ecological urban reconstructuring.

• Korea journal of population studies
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• v.25 no.2
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• pp.107-138
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• 2002

In general, women's labor force participation follows a M-curve pattern because women's state of economic activity usually changes by their life course stage. This research attentions that the effect of sequence of life course as well as the effects of‘marriage bar’, or‘maternity leave’is very important in understanding women's chaning economic activity status. First, this research hypothesizes that women's four patterns of job career such as‘continuous pattern’,‘discontinuous pattern’,‘non-economic activity pattern’,‘marriage leave pattern’result a significant difference in social and demographic variables. Second, this research analyzes the effect of ordering and timing of life events on women's work transition. This research investigates labor market dynamics to conceptualize labor market behaviors using longitudinal data and sequence analysis and event history analysis. We find that four patterns of job career vary by age, educational attainment, having a certificate or not, their parents’human capital and health status. And we find that the ordering and timing of‘participation in labor market’and‘marriage’determine the pattern of women's work transition.

• Korean Journal of Social Welfare
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• v.65 no.3
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• pp.29-52
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• 2013

This study examined how middle-aged and elderly persons allocated their time in overall perspective and whether the patterns were varied by age, socio-demographic factors, and the interaction effect between them. This study analyzed the 2009 Time Use Survey Data (17,096 time-diaries of people aged 45 or more) of the National Statistical Office using tobit regression model. The main results are as follows. First, middle-aged and elderly people gradually decreased paid work times. Second, the patterns of time allocation were varied by age, gender, education level, marital status and household type(Agricultural/non-agricultural). Third, there were interaction effects between age and the socio-demographic factors on paid work time and leisure time. Highly educated or urban persons were likely to have less time in paid work less than other groups with increasing age. And females were likely to have less time in domestic labor and care work than males with increasing age. But they had more time in social and economic productive activities than males. Based on these findings, this study suggests comprehensive approach to analyze the time use of elderly beyond economic working time or leisure time. To establish effective ageing society policy, it is necessary to consider the time allocation of elderly which divided into the social stratification.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7533-7537
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• 2014

Background: Breast cancer (BC) is the most frequent cancer type, and the leading cause of death from cancer among women in Israel. The Bedouin-Arab (BA) population in southern Israel is characterized by a high rate of consanguinity, common hereditary disorders, and transition from a semi-nomadic, traditional society to a more sedentary and urbanized society. In this hospital-based study, the demographic and the clinicopathological characteristics of BC in BA were compared with Jewish patients. Materials and Methods: 85 BA patients treated at the Soroka Medical Center, Beer Sheba, during the years 2004-2012, were studied and compared with 180 consecutive Jewish patients treated during the year 2007. Clinicopathological features compared included age, menopausal state, number of births, a history of BC in first-degree relatives, tumor size (T), extent of lymph-node involvement (N), distant metastases (M), stage, grade, estrogen and progesterone receptor (ER/PR), and Her2 status. Types of treatment, relapse rate and site, as well as outcome were also studied. Cox's regression models were applied for studying disease-free, and overall survival. Results: Compared with Jewish patients, BA patients were younger (average age $49{\pm}12$ yrs vs $59{\pm}13$, p<0.001), had a lower rate of BC in first-degree relatives (p<0.001), and a larger number of births ($6{\pm}4.2$ vs $2.5{\pm}1.9$, p<0.001). BA patients had larger tumors (p=0.02), more extensive lymph-node involvement (p=0.002), and more advanced stage (p=0.003). Grade, ER, PR, and Her2 status were similar in the two ethnic groups. Relapse type was most commonly systemic in BA patients (p=0.05), and loco-regional in Jewish patients (p=0.02). Median survival was 63, and 35 months for Jewish and BA patients, respectively (log-rank test, p=0.02). In Cox multivariate analysis, stage and PR status (HR-0.14, p<0.0001; HR-3.11, p=0.046), but not ethnicity, influenced overall survival. Conclusions: BC presents a decade earlier, and with more advanced disease in BA compared with Jewish patients. Biologic parameters including grade, ER, PR, and Her2 status were similar in both groups. Although prognosis was worse in BA than in Jewish patients, it was affected only by stage and PR status, but not by ethnicity.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.119-142
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• 2015

With the explosive growth in the volume of information, Internet users are experiencing considerable difficulties in obtaining necessary information online. Against this backdrop, ever-greater importance is being placed on a recommender system that provides information catered to user preferences and tastes in an attempt to address issues associated with information overload. To this end, a number of techniques have been proposed, including content-based filtering (CBF), demographic filtering (DF) and collaborative filtering (CF). Among them, CBF and DF require external information and thus cannot be applied to a variety of domains. CF, on the other hand, is widely used since it is relatively free from the domain constraint. The CF technique is broadly classified into memory-based CF, model-based CF and hybrid CF. Model-based CF addresses the drawbacks of CF by considering the Bayesian model, clustering model or dependency network model. This filtering technique not only improves the sparsity and scalability issues but also boosts predictive performance. However, it involves expensive model-building and results in a tradeoff between performance and scalability. Such tradeoff is attributed to reduced coverage, which is a type of sparsity issues. In addition, expensive model-building may lead to performance instability since changes in the domain environment cannot be immediately incorporated into the model due to high costs involved. Cumulative changes in the domain environment that have failed to be reflected eventually undermine system performance. This study incorporates the Markov model of transition probabilities and the concept of fuzzy clustering with CBCF to propose predictive clustering-based CF (PCCF) that solves the issues of reduced coverage and of unstable performance. The method improves performance instability by tracking the changes in user preferences and bridging the gap between the static model and dynamic users. Furthermore, the issue of reduced coverage also improves by expanding the coverage based on transition probabilities and clustering probabilities. The proposed method consists of four processes. First, user preferences are normalized in preference clustering. Second, changes in user preferences are detected from review score entries during preference transition detection. Third, user propensities are normalized using patterns of changes (propensities) in user preferences in propensity clustering. Lastly, the preference prediction model is developed to predict user preferences for items during preference prediction. The proposed method has been validated by testing the robustness of performance instability and scalability-performance tradeoff. The initial test compared and analyzed the performance of individual recommender systems each enabled by IBCF, CBCF, ICFEC and PCCF under an environment where data sparsity had been minimized. The following test adjusted the optimal number of clusters in CBCF, ICFEC and PCCF for a comparative analysis of subsequent changes in the system performance. The test results revealed that the suggested method produced insignificant improvement in performance in comparison with the existing techniques. In addition, it failed to achieve significant improvement in the standard deviation that indicates the degree of data fluctuation. Notwithstanding, it resulted in marked improvement over the existing techniques in terms of range that indicates the level of performance fluctuation. The level of performance fluctuation before and after the model generation improved by 51.31% in the initial test. Then in the following test, there has been 36.05% improvement in the level of performance fluctuation driven by the changes in the number of clusters. This signifies that the proposed method, despite the slight performance improvement, clearly offers better performance stability compared to the existing techniques. Further research on this study will be directed toward enhancing the recommendation performance that failed to demonstrate significant improvement over the existing techniques. The future research will consider the introduction of a high-dimensional parameter-free clustering algorithm or deep learning-based model in order to improve performance in recommendations.

• Korean Journal of Social Welfare
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• v.64 no.1
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• pp.249-271
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• 2012

This research examines the degree and the patterns of living arrangement transitions and analyzes the factors affecting transitions in living arrangement among elders in Korea. Data came from four-wave panel study of Hallym Aging Research Institute. The first wave was conducted in 2003, and each successive wave occurred exactly 2 years after. Respondents who were aged 60 and over, and had at least one living child were selected for this research. The baseline consisted of 1,907 respondents(2003), then became 985 for the fourth transition interval (2009). A total of 825 who participated both in 2003 and 2009 were used. Binomial logit regression analyses were used to analyze the effects of demographic characteristics, socioeconomic status, physical health, cognitive function, psychological well-being, and cultural attitudes toward elder care on transitions in living arrangements. Results show that 29.82% of the elders made transitions in living arrangements from 2003 to 2009, indicating remarkably unstable living situation over this time period. The ratio of living alone is increased from 17.6% to 19.6%, in contrast with decreased ratio of living with married children from 30.5% to 25.2%, and that of living with unmarried children from 19.9% to 13.7%. Factors affecting transitions in living arrangement were different according to types of living arrangement. Elders living with married children were more likely to be older, widowed and to have higher level of psychological well-being and more traditional attitude toward elder care. Elders living alone were more likely to be women, widowed, and to have more chronic diseases and lower level of psychological well-being.

• Journal of Venture Innovation
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• v.3 no.1
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• pp.143-163
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• 2020

When we assume the transition to a knowledge management society, what factors should be differentially added to the characteristics of CEOs of small enterprises to enhance management performance? This can be done by measuring the core competence of the CEO who is an importance asset of the small firms. This study focuses on the following four inquiries to clarify the relationship among the core competence of the CEO, the knowledge management and the performance of the firms. First, we test the influence of the core competence of CEO on business performance. Second, we explore the effects of CEO characteristics on the knowledge management and the performance of the firm. Third, we test whether knowledge management has a mediating effect in the relationship between the characteristics of CEO which is a parameter, and the business performance of the firm which is a dependent variable. Fourth, for the sake of a deeper understanding of the CEO of the small firms, we conduct t-test or multiple comparison to find out the statistically significant differences among means of the main variables such as demographic characteristics, work experience, and entrepreneurship. The academic contribution of this study is to verify the characteristics of the CEO, which influence the business performance:the global competence, challenge spirit, interpersonal flexibility and stress tolerance, in connection with the knowledge management of small firms. The practical contribution of this study is to test whether CEOs can demonstrate successful business performance through knowledge management rather than measuring business performance after a certain period of time through profit and loss statements in this era of uncertainty.

• Korean Journal of Social Welfare
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• v.68 no.3
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• pp.5-27
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• 2016

In this study, we examine differences in the children's medical utilization by family structure with a focus on single-mother and single-father families using data from the Korean Health Panel Survey, years 2008~2012. We also investigate whether the cause of transition into a single-parent household, whether coresidence with children's grandparents, and number of siblings are associated with children's use of ambulatory visits. The main findings of this study are as follows. First, children who grew up in single-father households had fewer ambulatory visits compared to those living with both parents after controlling for children's demographic characteristics and family backgrounds. Second, coresidence with grandparents was not associated with children's medical utilization. However, number of siblings was significantly and negatively correlated with the use of ambulatory visits. Third, children living with a divorced father had fewer medical utilization compared to those living with a widowed father, and coresidence with grandparents was positively associated with children's use of ambulatory visits. Our findings suggest that tailored policy supports would be more fruitful based on characteristics of single-parent households such as gender of parents, and the supports should also pay more attention to health care needs and medical utilization of children.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.3
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• pp.29-58
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• 2022

Recently, Korea has been experiencing a problem of population decline, therefore the transition to a compact spatial structure is being urged. However, what is required is not just physical compression, but a compact city that also considers connectivity, in view of the changes in today's demographic and industrial structure. From this point of view, this study measures the compressibility of domestic cities suffering from extinction risk due to low birth rates, aging population, and population decline, and examined the spatial structure characteristics. In addition to the compressibility evaluation index used in previous studies, the compressibility of six indicators (population, land use, service accessibility, transport accessibility, connectivity, and concentration) was compared and analyzed, and a comprehensive compression index was calculated. The analysis results, based on the comprehensive compression index, classified 2.3% cities in the first grade, 4.6% in the second grade, 16.09% in the third grade, 43.68% in the fourth grade, and 33.33% in the fifth grade areas. Currently, the urban characteristics affecting the compactness index differ from region to region. Therefore, it is necessary to establish measures and policies for extinction risk considering the influence of each region's compactness index. This study is meaningful in that connectivity was considered using spatial syntax, and the compactness of cities at risk of extinction was compared and analyzed quantitatively. It is expected that this study will be used as basic data to establish the direction and action strategy for extinction risk cities.