• Korean Journal of Social Welfare
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• v.62 no.3
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• pp.193-218
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• 2010

The purpose of this study is to evaluate the asset-building program for low-income individuals and to present the theoretical and practical guidelines about asset-building of them. To achieve this purpose, researcher conducted a qualitative evaluation study for 'Seoul Hope Plus Savings Accounts Program' Seoul Welfare Foundation have implemented. Data were collected from in-depth interview with 30 participants of 98 program members, and analysed inductively applying systems theory. As results, subjective experiences of participants were divided into input, process, output, and outcome, and themes such as 'the meaning of asset(money)', 'the culture participants are sharing', 'attitude about public assistance' were categorized. Based on these results, researcher presented guidelines for developing asset-building program.

• Human Ecology Research
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• v.55 no.3
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• pp.321-336
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• 2017

This study examines the effect of family resources on low-income families by exploring their holistic experience of poverty to the formation of resilience. A grounded theory approach is utilized to structure process from their experience of poverty as well as the use of social welfare services to the formation of resilience. This study targets 17 families involved in the pilot project for the beneficiaries of an asset building program in Seoul. In accordance with open coding and a paradigm model by the result of axial coding, 86 concepts, 23 sub-category, and nine categories are produced. These categories are classified into the causal condition (a tough life due to poverty), contextual condition (being the recipient of an asset building program), intervening conditions (interpersonal resources and effects of accumulated time or experience), central phenomenon (a will to live and overcome poverty), actions/interactions (active behavior and change of attitude), and consequences (change of asset levels and increased efficacy in their lives). The integrating categories identify the core category as 'the process of making a resilient life out of the power to live' and a final process model is organized. The results suggest crucial implications to develop comprehensive policies to address poverty issues for low-income families with a strength-based approach.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.491-512
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• 2004

The purpose of this paper is to analyze and compare the existing digital media asset management systems and develop a prospective implementation model. As a result of conducting this research, it is recommended that the prospective system consist of archiving server, processing server, and interface program. This result suggests important starting point for development a resonable and reliable implementation model for digital media asset management system.

• Journal of Korean Society of Water and Wastewater
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• v.29 no.1
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• pp.123-131
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• 2015

A CCTV inspection method has been widely used to assess sewer condition and performance, but Korea lacks a proper decision support system for prioritizing sewer repair and rehabilitation (R&R). The objective of this paper is to introduce the results that we have developed in the Sewer Condition Assessment and Rehabilitation Decision-making (SCARD) Program using MS-EXCEL. The SCARD-Program is based on a standardized defect score for sewer structural and hydraulic assessment. Priorities are ranked based on risk scores, which are calculated by multiplying the sewer severity scores by the environmental impacts. This program is composed of three parts, which are decision-making for sewer condition and performance assessment, decision-making for sewer R&R priority assessment, and decision-making for optimal budget allocation. The SCARD-Program is useful for decision-makers, as it enables them to assess the sewer condition and to prioritize sewer R&R within the limited annual budget. In the future, this program logic will applied to the GIS-based sewer asset management system in local governments.

• Korean Journal of Social Welfare Studies
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• v.41 no.4
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• pp.395-424
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• 2010

Using in depth interviews with phenomenological method, we explored subjective meaning of a participant assets-building program for low-income families. The research participants are 6 families who consisted of 30 low-income and low-wealth families in participating asset-building program. Findings indicate that we can find out a criteria of classify among low-income families. That are single mom family, single father family and grandparent family, and normal family. It could be useful to evaluate the policy of assets-building.

• 한국사회정책
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• v.25 no.1
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• pp.259-286
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• 2018

The purpose of this study is to examine which factors decide welfare exit in the hope building account program that targets low-income families. This study used the matched DB of hope ribbon program and hope building account program which is collected by central self-sufficiency foundation. As a result, the significant factors in welfare exit are main income, health(illness), licensed possession of status, education, marital status, employment and entrepreneurship, in-kind support, professional case management service, and social service. In particular, the participants who received proper social services and case management services in the program have more possibility of welfare exit than the participants who did not. It have implications in that the study found the success factors by connecting hope ribbon program and the hope building account program which has been introduced since 2010 and enlarge the scope of the performance analysis of the hope building account program. In addition, this study provides the suggestions to improve anty-poverty policy and system in the direction of providing work incentives and facilitating welfare exit and securing continuity of the hope building account program and the hope ribbon program. Specifically, this paper can be utilized as objective data in establishing a expansion of the hope building account program and suggesting the important issue for the case management in the filed.

• Management & Information Systems Review
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• v.33 no.1
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• pp.45-63
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• 2014

A trading system is a computer trading program that automatically submits trades to an exchange. Mechanical a trading system to execute trade is spreading in the stock market. However, a trading system to trade a single asset might occur instability of the profit because payoff of this system is determined a asset movement. Therefore, it is necessary to develop a trading system that is trade two assets such as a pair trading that is to sell overvalued assets and buy the undervalued ones. The aim of this study is to propose a relative value based trading system designed to yield stable and profitable profits regardless of market conditions. In fact, we propose a procedure for building a trading system that is based on the rough set analysis of indicators derived from a price ratio between two assets. KOSPI 200 index futures and S&P 500 index futures are used as a data for evaluation of the proposed trading system. We intend to examine the usefulness of this model through an empirical study.

• Journal of vocational education research
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• v.37 no.4
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• pp.45-66
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• 2018

The purpose of this study is to explore the factors affecting the social capital of youth and to draw implications for the policies related to development of the social capital of them. To this end, we utilized the OLS regression model and the quantile regression model exploiting the 12th year dataset of the Korean Education & Employment Panel(KEEP). First, this study shows that the effect on trust is higher than that of the counterpart when the case is a) unmarried, b) with the high level of education, c) with a large asset, d) with high self-respect and the satisfaction for financial situation, and e) social media user. On the other hand, the higher the monthly average income, the lower the trust level. In addition, when the cases are grouped into 25 quantile, 50 quantile, and 75 quantile according to the level of trust, it is revealed empirically that the factors affecting social capital formation are somewhat different. Second, this study also shows that the effect is higher in a specific condition. The effect is higher compared to the counterpart when the case is a) male, b) with children, c) metropolitan city resident, d) non-employee, e) with a large asset, f) with high level of happiness, g) with high expense of purchasing books, and h) social media user. As a result, it is found that there are no personal characteristics that have statistically significant influence on students belonging to the 25th quantile of social capital. This study suggests that, in order to support the formation of social capital of Korean youths, it is necessary to enhance their psychological satisfaction and to provide cultural support or policies. In addition, it suggests that a tailored social capital accumulation program is needed according to the level of social capital, and the support for this need to be changed according to the amount of social capital of young people.

• Knowledge Management Research
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• v.21 no.3
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• pp.229-247
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• 2020

In the remarkable growth of P2P financial platform in the field of knowledge management, only companies with big data and machine learning technologies are surviving in fierce competition. The ability to analyze borrowers' credit is most important, and platform companies are also recognizing this capability as the most important business asset, so they are building a credit evaluation system based on artificial intelligence. Nonetheless, online P2P platform providers that offer related services only act as intermediaries to apply for investors and borrowers, and all the risks associated with the investments are attributable to investors. For investors, the only way to verify the safety of investment products depends on the reputation of P2P companies from newspaper and online website. Time series information such as delinquency rate is not enough to evaluate the early stage of Korean P2P makers' credit analysis capability. This study examines the credit analysis procedure of P2P loan platform using artificial intelligence through the case analysis method for well known the top three companies that are focusing on the credit lending market and the kinds of information data to use. Through this, we will improve the understanding of credit analysis techniques through artificial intelligence, and try to examine limitations of credit analysis methods through artificial intelligence.