• Journal of the Korean Home Economics Association
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• v.41 no.11
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• pp.49-60
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• 2003

The purposes of this study were (1) to assess the perceived evaluation of family financial risk safeguards and (2) to identify demographic variables, financial security and financial communication which were an influence on the perceived evaluation of family financial risk safeguards. The data were collected from 598 housewives using an on-line survey. The major findings of this study were as follows: first, the perceived evaluation of financial risk safeguards was lower than the median(2.80). Especially, the perceived evaluation of financial risk safeguard for children's education had the highest score. Second, the variables which were an influence on the financial communication of husbands and wives were‘financial security’ and ‘years which they have been married’. Third, the perceived evaluation of financial risk safeguards was significantly different according to financial security and the financial communication of husbands and wives.

• Journal of Navigation and Port Research
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• v.45 no.5
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• pp.252-258
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• 2021

Given the cyclicality, seasonality, and capital-intensiveness, the development of the shipping industry has long been contingent on corporate financing activities. As such, there have been a growing number of cities in East Asia pursuing a global maritime financial center in order to support their domestic shipping industry. However, it is widely accepted that financial services relevant to shipping in East Asia are quite under-developed compared to those of other leading maritime financial centers in Europe and North America. In this regard, this paper aimed to construct an evaluation index of maritime financial centers in terms of financial ecological environment for the purpose of highlighting the current status of development and suggesting future directions. Furthermore, this paper examined the development of shipping finance in Qingdao as a numerical example using the fuzzy comprehensive evaluation and compared results with those of Shanghai.

• The Journal of Information Systems
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• v.16 no.3
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• pp.109-132
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• 2007

In the paper, we builds an advanced new credit evaluation system for Micro-small sized individual firms through appropriate evaluation factors derived by logistic regression analysis for credit evaluation model using in Korean Federation of Credit Guarantee Foundations, and the weights of factors computed by analytic hierarchy process(AHP). Industry characteristics are more applied to previous credit model with the additional the financial fact-information and non-financial judgement-information. Our results show that the financial factors have become more important than three years ago. Moreover, in the non-financial factors, the fact-information factors consider more important then the judgement-information factors. A new credit evaluation system is developed based on this credit evaluation model.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.101-110
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• 2022

The purpose of this study is to evaluate the efficiency of financial support for rural industry revitalization in eastern China. Comparative analysis of the efficiency of provincial financial support for rural industrial revitalization in eastern China can provide reference for various provinces to formulate financial policies for rural revitalization. In the research process, 5 evaluation indicators were selected using the panel data of the 2016-2021 "China Financial Statistical Yearbook" and "China Statistical Yearbook", and the DEA and Malmquist index methods were used for calculation. The results show that the average efficiency of financial support for rural revitalization in the 10 eastern provinces from 2015 to 2020 was generally higher, with the efficiency values all higher than 0.8, and reached 0.908 in 2017. The comprehensive efficiency of financial support for rural industry revitalization in Tianjin, Shanghai and Hainan has reached the best. From 2015 to 2020, the total factor productivity of financial support for rural industry revitalization in the eastern region has a "V"-shaped fluctuation. Total factor productivity has the fastest growth. The provinces are Beijing, Hebei and Shandong showing negative growth. It is recommended that relevant provinces improve their strategies for financial support for the revitalization of rural industries. The scope of future research should be expanded to most areas of China and the evaluation indicators should be optimized.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.3
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• pp.79-86
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• 2010

Causing by economic stagnation and financial management difficulty of the domestic small and medium business company, the actual condition which enlarges the plan of politic funds increased from the government. The government authority as the SBC (small and medium business promotion corporation) evaluates the domestic small and medium business company, and directly executes a governmental politic funds. Financial analysis is a important factor of enterprise evaluation among various valuation bases. However because of applying to the whole domestic manufacturing industry on financial evaluation, Current financial evaluation index effectively cannot reflect the feature of a regional industry. A whole manufacturing industry index considers a standard for the comparison evaluation of domestic manufacturing industry and compares with the other industries and the world-wide nation industry change, But, there is a difference from indexes of corresponding industry in specific regions. This paper proposes a model of evaluation index for the efficient execution of politic funds. We considers three manufacturing industries for proposed model which are shipbuilding, machine tool and airline industries in Gyeongsangnam-do region.

• Communications for Statistical Applications and Methods
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• v.15 no.4
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• pp.615-631
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• 2008

Current credit evaluation models based on only financial data except non-financial data are used continuous data and produce credit scores for the ranking. In this work, some problems of the credit evaluation models based on transformed continuous financial data are discussed and we propose improved credit evaluation models based on categorized financial data. After analyzing and comparing goodness-of-fit tests of two models, the availability of the credit evaluation models for categorized financial data is explained.

• The Journal of Information Systems
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• v.18 no.4
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• pp.41-57
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• 2009

Although financial information is a great influence upon determining of the group which use them, detection of management fraud and earning manipulation is a difficult task using normal audit procedures and corporate credit evaluation processes, due to the shortage of knowledge concerning the characteristics of management fraud, and the limitation of time and cost. These limitations suggest the need of systemic process for !he effective risk of earning manipulation for credit evaluators, external auditors, financial analysts, and regulators. Moot researches on management fraud have examined how various characteristics of the company's management features affect the occurrence of corporate fraud. This study examines financial characteristics of companies engaged in fraudulent financial reporting and suggests a model and system for detecting GAAP violations to improve reliability of accounting information and transparency of their management. Since the detection of management fraud has limited proven theory, this study used the detecting method of outlier(upper, and lower bound) financial ratio, as a real-field application. The strength of outlier detecting method is its use of easiness and understandability. In the suggested model, 14 variables of the 7 useful variable categories among the 76 financial ratio variables are examined through the distribution analysis as possible indicators of fraudulent financial statements accounts. The developed model from these variables show a 80.82% of hit ratio for the holdout sample. This model was developed as a financial outlier detecting system for a financial institution. External auditors, financial analysts, regulators, and other users of financial statements might use this model to pre-screen potential earnings manipulators in the credit evaluation system. Especially, this model will be helpful for the loan evaluators of financial institutes to decide more objective and effective credit ratings and to improve the quality of financial statements.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.203-224
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• 2008

The purpose of this study is to investigate the evaluation perspectives of IT business value and empirically analyze the differences of evaluation perspectives between ex ante evaluation and post implementation evaluation, and among various information system types. 4 evaluation perspectives which have been used in the previous studies and in the field of industry practices are financial, customer, internal process, and growth, which are based on the BSC model. Data of 98 information systems have been collected from 89 companies including manufacturers, banks, insurances, and stock trading companies. As results of multi-way MANOVA test, 3 out of 8 hypothesis have been accepted statistically. While the order of importance of 4 perspectives in ex ante evaluation is customer, financial, internal process, and growth, the order of post implementation evaluation appears to be much different : that is, internal process, customer, financial, and growth. These findings provide insights for both IT practitioners and researchers.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.10-19
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• 2016

In this paper, I evaluate national and regional policies for financial centers and Busan Fiancial Center and find the way of the future development of Busan Financial Center. And I found that national policies for financial centers was focused on general improvements of financial industry, so a little tasks for Busan Financial Centers were listed. Therefore I suggest that central government should have more national policies for enhancing Busan Financial Center and promoting participation of private financial firms. And I propose the broader incentive schemes for financial firms moving to Busan, and expect that combining national deregulation policies like Regulation-Free Zone and Regulatory Sandbox and Moonhyun-North Port financial free zone and FinTech cluster plans of Busan will make a big progress of Busan Financial Center.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.3
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• pp.1-20
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• 2001

The amount of financial information in sophisticated large data bases is huge and makes interfirm performance comparisons very difficult or at least very time consuming. The purpose of this paper is to investigate whether neural networks in the form of self-organizing maps (SOM) can be successfully employed to manage the complexity for competitive financial benchmarking. SOM is known to be very effective to visualize results by projecting multi-dimensional financial data into two-dimensional output space. Using the SOM, we overcome the problems of finding an appropriate underlying distribution and the functional form of data when structuring and analyzing a large data base, and show an efficient procedure of competitive financial benchmarking through clustering firms on two-dimensional visual space according to their respective financial competitiveness. For the empirical purpose, we analyze the data base of annual reports of 100 Korean listed companies over the years 1998, 1999, and 2000.