• 정보보호학회논문지
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• 제21권3호
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• pp.117-130
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• 2011

전 세계적으로 국가 간 자유무역이 확대되고 있는 상황에서, 우리나라도 최근 미국, EU 등 금융선진국들과 FTA 협정을 체결하는 등 급속히 추진되고 있다. 이 협정문에 따르면, 우리나라의 외국계 금융회사가 보유하고 있는 이용자 정보가 국외로 이전이 가능하게 될 전망이다. 본 논문에서는 이러한 금융정보의 국외이전에 대비하여 정보이전의 개념과 범위를 정의하고, 국내 외 관련 법 제도 현황을 파악해 보고자 한다. 아울러 정보이전 시 예상되는 문제점을 제도적, 기술적 부문으로 나누어 검토하고 정보규제의 차별화, 개인정보보호법과 관련법규의 제 개정, 금융회사의 안전성 확보 및 정보이전 표준가이드라인 마련 등의 정책적 대응방안을 제시한다. 특히, 이용자의 프라이버시 보호를 위하여 개인정보의 이전시 금융정보와 차별화하는 정책 수립의 필요성을 언급한다. 본 논문에서 제안된 방안은 향후 FTA 시행 후 금융정보의 국외이전에 대비하여 금융회사와 감독당국 등 관련기관이 준비해야 할 대책 마련에 도움이 될 것으로 기대한다.

• The Journal of Asian Finance, Economics and Business
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• 제7권6호
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• pp.47-59
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• 2020

This paper intends to explore the relationship between financial inclusion and financial stability under the scope of Asian economies. The linkage will be thoroughly investigated with country-level and bank-level data of 42 countries in three separate years: 2011, 2014, and 2017. In this study, an inclusive financial system is assessed by two dimensions: usage of financial services and access to the financial system. Usage of financial services ranges from account to credit, savings and payment services. Access to financial system measures the financial outreach where individuals can use financial services. Meanwhile, financial stability, which proxied by Bank Z-score is regarded as the dependent variable. We apply fixed effects regression and random effects regression to capture the impacts of financial inclusion upon financial stability. To enhance the robustness of the model, the Feasible Generalized Least Squares (FGLS) regression is therefore adopted as the solution for the random effects regression. The empirical findings exhibit an overall weak positive influence of financial inclusion on financial stability. The research results also provide both financial institutions and governments with insightful information, which helps them to have an appropriate financial development strategy, improve the regulatory framework and consequently enhance financial stability for the whole system.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2006년도 춘계 종합학술대회 논문집
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• pp.113-117
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• 2006

본 연구의 목적은 관리회계 정보특성과 정보기술구조간의 적합성이 AIS성과에 미치는 영향을 분석하는데 있다. 본 연구에서는 관리회계정보 특성 변수로는 재무적 요인과 비재무적 요인을 이용하였으며, 정보기술구조는 Ahtuv 등(1989), Fiedler 등(1996)이 분류한 자료처리의 집중화와 분산화를 이용하였다. 표본 기업은 상장기업을 무작위로 425개를 선정하였으며 회수된 자료 중 137부를 분석에 이용하였다. 본 연구의 가설검증 결과를 요약하면 다음과 같다. 관리회계정보특성 변수와 정보기술구조 변수간의 적합도 검증에서는 자료처리가 집중화된 기업에서는 재무적 정보를 활용하는 기업이 비재무적 정보를 활용하는 기업보다 AIS성과가 높게 나타났다. 그러나 통계적으로는 유의성이 없었다. 자료처리가 분산화 된 기업에서는 비재무적 정보를 활용하는 기업이 재무적 정보를 활용하는 기업보다 AIS성과가 높게 나타났다. 또한 통계적으로도 높게 나타났으며, p<0.05 수준에서 유의하였다.

• Journal of Information Processing Systems
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• 제20권3호
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• pp.391-398
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• 2024

Given the further promotion of economic globalization, China's financial market has also expanded. However, at present, this market faces substantial risks. The main financial and economic risks in China are in the areas of policy, credit, exchange rates, accounting, and interest rates. The current status of China's financial market is as follows: insufficient attention from upper management; insufficient innovation in the development of the financial economy; and lack of a sound financial and economic risk protection system. To further understand the current situation of China's financial market, we conducted a questionnaire survey on the financial market and reached the following conclusions. A comprehensive enterprise questionnaire from the government's perspective, the enterprise's perspective and the individual's perspective showed that the following problems exist in the financial and economic risk prevention aspects of big data and Internet of Things in China. The political system at the country's grassroots level is not comprehensive enough. The legal regulatory system is not comprehensive enough, leading to serious incidents of loan fraud. The top management of enterprises does not pay enough attention to financial risk prevention. Therefore, we constructed a financial and economic risk prevention model based on big data and Internet of Things that has effective preventive capabilities for both enterprises and individuals. The concept reflected in the model is to obtain data through Internet of Things, use big data for screening, and then pass these data to the big data analysis system at the grassroots level for analysis. The data initially screened as big data are analyzed in depth, and we obtain the original data that can be used to make decisions. Finally, we put forward the corresponding opinions, and their main contents represent the following points: the key is to build a sound national financial and economic risk prevention and assessment system, the guarantee is to strengthen the supervision of national financial risks, and the purpose is to promote the marketization of financial interest rates.

• 한국정보시스템학회지:정보시스템연구
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• 제16권3호
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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.

• 정보보호학회논문지
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• 제28권6호
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• pp.1475-1487
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• 2018

금융 회사 전자금융 거래 시 송금인이 수취인에게 자금을 이체할 경우 송금인은 출금 계좌 번호와 출금 금액 그리고 금융 회사에 사전 등록한 비밀번호 또는 금융 회사가 사전에 배부한 인증 매체에서 제공하는 정보 등 이용자 인증 정보를 입력하여 계좌 이체를 수행한다. 그러나, 현재 이러한 금융 회사와 송금인간 발생하는 이용자 인증 중심의 단방향 거래는 착오 송금 또는 보이스피싱 사기 거래 등 사고 위험에 노출되어 있다. 따라서, 본 연구에서는 송금인과 금융회사 이외 수취인과도 자금 이체 거래 시 거래 내용을 공유하여 수취인이 확인 후 응답하면 이체가 성립될 수 있도록 상호합의가 가능한 온라인 전자금융 2-WAY 거래인증 모델을 제안한다 기존 단방향 전자금융 거래 이체 방법을 양방향 거래 방법으로 개선하여 착오 송금, 보이스피싱 사기 예방 이외 대여금 거래, 계약 거래 등 다양한 용도로 활용하여 금융 회사 계좌이체 거래 이용자의 불편 감소 및 편리성 강화와 금융 회사의 P2P거래 활성화 등의 기대효과를 창출하고자 한다.

• 정보과학회지
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• 제26권9호
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• pp.65-70
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• 2008

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.411-420
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• 2021

Based on the Financial Management Information Systems (FMIS) variables and supporting arenas, the current study aims to highlight the importance of FMIS in supporting organizations to achieve organizational excellence (Managing Liabilities, Support Decision Making, Cost Efficiency, Financial Quality, and Security). A quantitative approach was utilized by adopting a questionnaire as a tool. A convenient sample of (249) individuals from different Kuwaiti SMEs answered the questionnaire. SPSS v. 26 was used to analyze gathered data. The study's findings revealed that FMIS has a significant impact on organizational trials to achieve organizational excellence. This impact was most noticeable on the level of cost-efficiency, with an R-value of 0.583, followed by a positive impact on security, with an R-value of 0.453. Based on the results, it can be widely generalized that FMIS can help the organization reach organizational excellence through managing its financial affairs. As a result, the study recommends paying more attention to the quality of data presented to FMIS, keeping in mind that human errors in data entry might result in incorrect and malfunctioned data, even if it is processed by FMIS. FMIS also improves the ability of an organization to schedule financial information, such as obligations, receivables, debts, payments, and expenses.

• The Journal of Asian Finance, Economics and Business
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• 제10권2호
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• pp.15-27
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• 2023

The purpose of this research is to investigate the impact of Business Intelligence (BI) on the relation between Big Data Analytics (BDA) and Financial Performance (FP), at the beginning we reviewed the academic accounting and finance literature to develop the theoretical framework of business intelligence, big data and financial performance in terms of definition, motivations and theories, then we conduct an empirical analysis based on questionnaire-base survey data collected. The researchers identified the study population in the joint-stock companies listed on the Egyptian Stock Exchange and operating in the sectors and activities related to modern technologies in information systems, big data analytics, and business intelligence, in addition to the auditing offices that review the financial reports of these companies, and The sector closest to the research objective is the communications, media, and information technology sector, where the survey list was distributed among the sample companies with (15) lists for each company, and (15) lists for each audit office, so that the total sample becomes (120) individuals (with a response rate 83.3%), The results show, First, Big data analytics significantly affect organizations' financial performance, second, Business intelligence mediates (partial) the relationship between big data analytics and financial performance.

• Journal of the Korean Data and Information Science Society
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• 제15권2호
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• pp.413-422
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• 2004

Box-Cox power transformation is employed for analyzing volatilities in Korean financial time series such as KOSPI, KOSDAQ index and interest rates. Statistical procedures for Box-Cox transformed ARCH models are presented. For illustration, diverse financial time series data are analyzed and appropriate power transformations are suggested for each data.