• Journal of Distribution Science
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• v.21 no.12
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• pp.71-81
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• 2023

Purpose: This research aims to analyze the influence of greed, opportunity, need, exposes on fraudulence financial reporting by using the distribution of political connections as a moderating variable. Research design, data, methodology: Using data collected from 180 respondents who were leaders involved in financial reports in state-owned companies and manufacturing companies in South Sulawesi, Indonesia. Data analysis using SEM PLS. Results: The results of this research show that greed, opportunity, need, exposes, political connections have a significant positive effect on fraudulence financial reporting. Political connection is able to moderate greed, need, exposes to fraudulence financial reporting. Furthermore, political connections are unable to moderate the opportunity for fraudulence financial reporting in company. Conclusion: Greed, opportunities, needs, exposes can influence someone to carry out financial fraud reporting in the company because of internal or external factors that cause someone to commit fraud. Every perpetrator of fraud should be subject to punishment or sanctions if proven to have committed fraud. Political connections can influence fraudulent financial reporting due to the potential for intervention and political pressure that can affect the integrity of financial reporting. Political connections are able to moderate greed, need, exposes against fraudulent financial reporting.

• KDI Journal of Economic Policy
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• v.38 no.3
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• pp.53-77
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• 2016

Financial soundness in the household sector matters for financial stability and for the real economy. The level of household debt in Korea raises concern about the financial soundness of the household sector due to its size, growth rate and quality. Against this backdrop, we assess the financial vulnerability of borrowers based on an analysis of credit bureau (CB) data, in which the actual credit activities of most individuals are recorded at a high frequency in Korea. We construct over-indebtedness indicators from the CB data and then assess the predictability of forthcoming defaults. Based on the over-indebtedness indicators, we show how borrowers are distributed in terms of over-indebtedness and how the over-indebted differ from average borrowers in terms of their characteristics. Furthermore, we show how the aggregate credit risk in the household sector would change under macroeconomic distress by analyzing how each borrower's credit quality would be affected by adverse shocks. The findings of this paper may contribute to assessing household debt vulnerability and to enhancing regulatory and supervisory practices for financial stability.

• Journal of Families and Better Life
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• v.9 no.2
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• pp.103-117
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• 1991

The purpose of this study was to investigate causal relations of resources and demands, family financial management and subjective financial wee-being among urban households by applying a system's approach. The data were collected through the questionnaire whose respondent were 455 housewives in Seoul. The data were analyzed by various statistical methods such as Frequency. Percentile, ANOVA , F-test, T-test, Pearson's correlation analysis, Multiple Regression Analysis. Path Analysis. The results of this research were as follows. 1) The level of subjective financial wee-being among urban households exceeded the middle level. It had significant differences according to resource variables such as age of housewife. education level of housewife, housewife's occupation, househead's occupation. per capita income, debt/net asset ratio, and according to demand variables such as aspiration, expectancy, perception of financial progress, relative deprivation. 2) The level of subjective financial well-being among urban households according to level of family financial management capability has significant differences. Therefore, the higher family financial management capability, the higher level of subjective financial well-being. 3) Among all variables affecting the subjective financial well-being among urban households. aspiration had the highest relative influence on the subjective financial well-being and per capita income, occupation of househead and family financial management variables were in this order. 4) Among all variables affecting the subjective financial well-being among urban households aspiration, occupation of househead, per capita income and finacial management variables had direct effect on subjective financial well-being . Besides housewife's education level, aspiration and per capita income had indirect effect on it through family financial management.

• Journal of the Korean Home Economics Association
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• v.29 no.4
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• pp.151-165
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• 1991

The purpose of this study was to examine causal model of resources and demands, family financial management and subjective financial security among urban households based on system theory. For this purpose, the data were collected by the questionnaire sheets. 455 housewives participated this survey in Seoul. And the data were analyzed by various statistical methods such as Frequency, Percentile, ANOVA, F-test, Pearson's correlation analysis, Multipe Regression Analysis, and Path Analysis. The results of this research were as follows: 1. There were significant differences in the Subjective Financial Security according to resource variables and demand yariables. Those variables were such as housewive's age, education, occupation, househead's occupation, per capita income, aspiration, expectancy, perception of financial progress and relative deprivation. 2. The higher family financial management level, the higher level of Subjective Financial security. And the higher family financial management plan·implement level, the higher level of Subjective Financial security. 3. The lower debt/asset ratio, the higher level of Subjective Financial security. 4. Aspiration, per capita income an financial managemant variables showed direct effect on Subjective Financial security among all variables affecting the urban households' Subjective financial security. While housewive's education level, aspiration, per capita income and husband's occupation affected indirectly on the Subjective Financial security through family financial managemant.

• Information Systems Review
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• v.13 no.1
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• pp.1-11
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• 2011

This study empirically investigated the effect of firm-level data quality on economic performance in the Korean financial industry during 2008~2009. The data quality was measured by data quality management process index and data quality criteria by Korea Database Agency, and financial firm performance data was acquired from Financial Statistics Information System of the Financial Supervisory Service. The result showed that the data quality has statistically significant impacts on financial firm performance such as sales, operating profit, and value added. If the data quality management process index increases by one, the value added can increase by 2.3 percent. Moreover, the data quality criteria increase by one, the value added can increase by 72.6 percent.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1764-1776
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• 2014

This study is the context about an introduction of a bookkeeping by double entry & accrual base accounting which is the turning point of National Accounting and defense integrated financial management which is delivered following system Digital Budget Accounting system, in other words about something to do with the improvement of efficiency of financial information data. National defense Integration Financial Information system (NDIFIS) facilitates Project program management and makes the whole process of Defense financial Business manageable in one system. Also, there is a purpose to increase the credibility and transparency of National defense finances by providing internal and external information users with credible financial statements and cost materials. By using data envelopment analysis (DEA) which is a useful method to measuring the efficiency of organization, this study aims to improve the financial information data efficiency by comparing the efficiency of the same type troops and when it comes to the inefficient troops, by offering the certain objective of efficiency.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.75-84
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• 2020

The study investigates and measures the impact of financial restructuring on overall financial performance of commercial banks in Vietnam. Survey data for this research were collected from audited financial reports of 28 commercial banks in Vietnam, for the period from 2008 to 2018. In the study, we have built a model of econometric regression with the dependent variable being financial results measured through ROA and ROE. The research methods used include Pooled Ordinary Least Square Model (POLS), Fixed Effects Model (FEM), Random Effects Model (REM), and different Generalized Method of Moments (GMM). The results showed that the account payables restructuring and owners' equity restructuring are much needed. Increasing the owners' equity, decreasing the account payables would improve the overall financial performance, bad debts restructuring to decrease bad debts would also improve the financial performance as well. However, the financial restructuring in the period 2012-2015 and 2016-2018, indeed worsen the financial performance during those times. The findings of this study suggest that the evaluation of the financial performance after restructuring of commercial banks in Vietnam must be based on longer data. At the same time, it is necessary to examine differences between various banking groups to draw accurate conclusions on financial performance.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.5
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• pp.1191-1204
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• 2019

In January 2019, the government revised the regulation on electronic financial supervision to revitalize the use of cloud in the financial sector. However, as cloud policies and regulations cloud undermine financial firms' autonomous security activities or restrict some of the people's basic rights, there has been little movement in the financial sector to use important information as the cloud. In addition, the data localization policy, which requires important information to be kept only in Korea, is a representative regulation that prevents the revitalization of cloud use, which also creates discrimination problems for overseas operators. Therefore, policy and regulatory improvements are needed to enable the cloud to provide a foundation for digital financial innovation through data. This study looked into the current status of cloud policies for domestic and foreign financial companies and analyzed policies and regulations for domestic financial companies. Through these efforts, the government aims to draw up limitations and problems in cloud policies for domestic financial companies and propose policy alternatives, such as measures to improve regulations on localizing data for financial companies to revitalize their use of cloud.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.232-234
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• 2022

Big data is widely used in customer relationship management, relationship marketing, financial business improvement, credit information and risk management. Moreover, as non-face-to-face financial transactions have become more active recently due to the COVID-19 virus, the use of financial big data is more demanded in terms of relationships with customers. In terms of customer relationship, financial big data has arrived at a time that requires an emotional rather than a technical approach. In relational marketing, it was necessary to emphasize the emotional aspect rather than the cognitive, rational, and rational aspects. Existing traditional financial data was collected and utilized through text-type customer transaction data, corporate financial information, and questionnaires. In this study, the customer's emotional image data, that is, atypical data based on the customer's cultural and leisure activities, is acquired through SNS and the customer's activity image is analyzed with an artificial intelligence CNN algorithm. Activity analysis is again applied to the annotated AI, and the AI big data model is designed to analyze the behavior model shown in the annotation.

• Journal of the Korean Home Economics Association
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• v.40 no.2
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• pp.175-186
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• 2002

The purpose of this study was to examine the influences of goal-oriented value to the financial management and financial satisfaction of female college students. The samples were selected from 541 female collegians. Data analysed were carried out using SAS package. Statistics used for data analysis was Cronbach'$\alpha$ coefficient, multiple regression, Pearson correlation analysis, and path analysis. The results were summarized as follows : First, resulting from the multiple regression analysis, the goal-oriented value had positive effects to the financial management - planning, implementing, evaluating, and saving - of female collegians. And the goal-oriented value had not indirectly but directly positive effects to the financial satisfaction. Second, the variables that have significant influence on the financial satisfaction were the level of household income, goal-oriented value, implementing, and monthly personal allowance.