• Journal of Families and Better Life
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• v.22 no.2
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• pp.85-95
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• 2004

The purpose of this study was to classify the household financial strategies and find out variables affecting the type of the household financial strategies. The data of 3994 households from Korean Labor and Income Panel Study(1999-2000) were used. The major findings were as follows: (1) the household financial strategies were Residual Saver Type(44.6%), Unformal Institute Saver Type(13.3%), Financial asset Saver Type(16.7%), Real estate Saver Type(13.4%) and Diversities(12.0%). (2) The household financial strategy types were changed rapidly during short term. (3) In 3994 households, the variables which influence on the change of the household financial strategies were education, job, numbers of children, place of residence, home ownership. Similarly, in each type, the change of household financial strategies was significantly different according to the household characteristics variables.

• Journal of Families and Better Life
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• v.22 no.6 s.72
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• pp.165-175
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• 2004

The purpose of this study was to classify the household financial strategies and investigate major determinants of the household financial strategies and financial performance. The data of 3,994 households is from the Korean Labor and Income Panel Stud?. The major findings were as follows. (1) The classified household financial strategies types were Residual ($44.6\%$), Informal Institutional ($13.3\%$), Financial Assets ($16.7\%$), Real Estate ($13.4\%$), and Diversified Portfolio ($12.0\%$). (2) The criteria of classification of the household financial strategies were relative, not absolute. (3) The household financial strategy types changed largely during a short period(1999-2000). (4) In all households, the variables that affected changes in household financial strategies were education, occupation, number of children, residential location and home ownership. (5) Households that employed a diversified portfolio strategy had the greatest financial performance (2,316,000 won net gain). (6) In all households, the variables that had the greatest influence on financial performance were the number of children, assets and debts. 1'he financial performance was significantly different according to changes in the household financial strategy.

• Journal of Families and Better Life
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• v.25 no.3 s.87
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• pp.25-44
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• 2007

The purpose of this study was to classify the financial strategies and investigate major determinants of the financial performance in elderly households. This study used the data of 4,577households with all ages and 1,255 elderly households were from the Korean Labor and Income Panel Study(2000, 2003). The data were analyzed by various statistical methods such as frequency, mean-test, Duncan's multiple range test, k-mean cluster analysis and regression. The major findings were as follows: First, the classified household financial strategy types were Residual(44.3%), Financial Assets(24.0%), Informal Institutional(19.7%), Diversified Portfolio(7.6%), Real Estate(4.5%). Second, the criteria of classification of the financial strategies were relative, not absolute. Third, elderly households that employed a financial assets had the greatest financial performance (62,320,000 won net gain). Households with all ages that employed a diversified portfolio strategy had the greatest financial performance (98,360,000 won net gain). Forth, the determinants of the financial performance were significantly different according to the types of financial strategy.

• Korean Journal of Human Ecology
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• v.16 no.1
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• pp.75-87
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• 2007

The purpose of this study was to classify the financial strategies in elderly households. The data of 4,577 households with all ages and 1255 elderly households is from the Korean Labor and Income Panel Study(2000, 2003). The data were analyzed by various statistical methods such as frequency, mean-test, Duncan's multiple range test, k-mean cluster analysis and logistic regression. Findings were as follows; First, the classified household financial strategy types were Residual(44.3%), Financial Assets(24.0%), Informal Institutional(19.7%), Diversified Portfolio(7.6%), Real Estate(4.5%). Second, the criteria of classification of the financial strategies were relative, not absolute. Third, households(both elderly households and all households) that employed a diversified portfolio strategy had the greatest net wealth.

• Information Systems Review
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• v.11 no.2
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• pp.169-182
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• 2009

Due to natural oligopolistic industry characteristics and huge influences on national and home economy, Telco Industry is regarded as a regulated industry. Thus, telco companies, including CATV, prepare not only management accounting reports for internal use but also regulatory accounting reports to be submitted to the regulatory agency. For telco companies, smooth integration of these financial, managerial and regulatory reporting requirements with legacies such as billing system, network operating systems is important to achieve operational efficiency and overall competency. This research studies telco ERP cost module implementation in order to provide theoretical and practical guidance for integrated information system. Especially, case analysis focuses on cost reduction and network costing implementation that involves Building Block Costing methodologies.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.47-52
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• 2022

The purpose of this study is to identify the risk level of Chinese commercial banks' loan assets and to analyze what factors affect the stability of Chinese commercial banks. In addition, Chinese commercial banks are classified based on the asset size of 200 billion yuan, and the difference in stability according to size is investigated. The analysis results are as follows. First, it was estimated that as the proportion of household and corporate loans of commercial banks in China increased, the stability of banks decreased. Although the Chinese financial authorities are currently restricting the conservative management of loan assets, it will be necessary to preemptively manage risk on loan assets by setting an appropriate standard for loan-to-deposit ratio in the future. Second, as a result of analyzing the stability of large banks based on 200 billion yuan of bank assets, it was estimated that the stability of large banks was lower. As large banks are likely to conduct aggressive loan asset management, continuous management of non-performing assets is required in the future. This study will serve as a measure for improving the stability of commercial banks in China by estimating the effect of loan asset management of Chinese commercial banks on financial stability. In particular, by examining the stability of large banks, a strategy for sustainable development of the financial industry is required by diagnosing the weaknesses of large banks.