• The Journal of Bigdata
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• v.1 no.1
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• pp.77-84
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• 2016

We investigate the types and characteristics of Fintech has become a major issue. Through this, we believe that the essence of Fintech are platform business and market occupancy. To success Fintech business, the price of Fintech services needs to be lower than that of traditional financial services. The solution is to take advantage of big data and big data analysis. Finally, we think only a win-win cooperation with Fintech startups and financial companies in the direction we need to go.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.4
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• pp.79-94
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• 2013

In this paper, we examine factors of success in online P2P (peer-to-peer) lending auctions. This paper finds the following empirical results. First, loan applicants with a stable employment status are more likely to succeed in the auction than loan applicants with an unstable employment status. Second, loan applicants, who actively share personal information and interact with lenders through online message boards, are likely to succeed in the auction. Third, the purpose of a loan for debt repayment has a significant impact on the success of the auction. However, the purpose of a loan for essential living expenses such as housing, living, and medical expenses has an insignificant relationship with the success of the auction. Our results imply that the characteristics of loan applicants such as employment status and social interaction are the factors of success in online P2P lending auctions.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.3
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• pp.125-140
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• 2018

According to statistics, it is shown that domestic SMEs rely on bank loans for the majority of fund procurement. From financial information shortage (Thin file) that does not provide information necessary for credit evaluation from banks such as financial statements. In order to overcome these problems, recently, in alternative finance such as P2P, using differentiated information such as demographics, trading information and the like utilizing Fintech instead of existing financial information, small funds A new credit evaluation method has been expanding to provide SMEs with small amounts of money. In this paradigm of environmental change, in this research, credit evaluation which can expand fund supply to SMEs by utilizing big data based on trade area information such as sales fluctuation, location conditions etc. In this research, we try to find such a solution. By analyzing empirically the big data generated in the trade area, we verify the effectiveness as a credit evaluation factor and try to derive the main parameters necessary for the business performance evaluation of the founder of SMEs. In this research, for 17,116 material businesses in Seoul City that operate the service industry from 2009 to February 2018, we collect trade area information generated for each business location from Big Data specialized company NICE Zini Data Co., Ltd.. We collected and analyzed the data on the locations and commercial areas of the facilities that were difficult to obtain from SMEs and analyzed the data that affected the Corporate financial Distress. It is possible to refer to the variable of the existing unused big data and to confirm the possibility of utilizing it for efficient financial support for SMEs, This is to ensure that commercial lenders, even in general commercial banks, are made to be more prominent in one sector of the financing of SMEs. In this research, it is not the traditional financial information about raising fund of SMEs who have basically the problem of information asymmetry, but a trade area analysis variable is derived, and this variable is evaluated by credit evaluation There is differentiation of research in that it verified through analysis of big data from Trading-area whether or not there is an effect on.

• Management & Information Systems Review
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• v.7
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• pp.113-124
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• 2001

인터넷을 기반으로 하는 B2B시장이 엄청난 속도로 증가추세를 드러내고 있는 가운데 국내 전자상거래 시장은 예상만큼의 기대치에 부응하지 못한 채 큰 발전을 보지 못하고 있는 상황이다. 이는 인터넷상에서의 효율적인 결제시스템의 부계와 전자상거래 시장의 특성인 신뢰성의 부재에 그 원인이 있다고 보아진다. 따라서 본 논문에서는 이러한 비대면의 전자적인 결제시스템에 따르는 신뢰성 문제해결을 위한 방안으로 Escrow계정을 이용하는 B2B 결제시스템을 제안하고자 한다. 본 연구에서 제안하는 Escrow Service시스템은 전자결제시스템의 걸림돌이었던 제품보증과 결제보증에 관한 문제를 데이터베이스로 구축하여 체계적이고 안정적인 방법으로 해결할 수 있는 EDI를 이용한 B2B ESCROW 결제서비스를 만드는 것이다. 구매기업과 판매기업간에 매매행위가 발생되면서 양사의 합의에 따른 Escrow사항들을 표준화된 데이터베이스 형식을 갖고 있는 EDI에 저장하고 거래 데이터베이스를 수행하면서 자동적인 EDI File Update를 통해 가장 실시간의 정보를 참조할 수 있도록 하는 것이다. 기존의 B2B 결제시스템에 있어서의 Escrow 기능이 계좌이체를 이용한 결제시스템에만 제한적으로 이용돼 왔었으며 또한 Escrow 시스템 수행이 수동적인 프로세스에 의해 움직여졌기 때문에 신뢰성과 이용도면에서 문제점이 있었다. 하지만 EDI를 이용한 Escrow시스템 구현은 프로세스의 자동화뿐만 아니라 계좌이체 및 기타 대출을 이용한 결제시스템에도 다양하게 적용할 수 있으며 또한 History관리가 가능하므로 전자상거래 결제시스템의 효율을 한층 더 높일 수 있을 것으로 기대된다.

• Information Systems Review
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• v.22 no.3
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• pp.15-30
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• 2020

In the real estate industry, the latest changes in the Fourth Industrial Revolution, such as big data analytics, machine learning, and VR (virtual reality), combine to bring about industry change. Proptech is a new term combining properties and technology. This study aims to derive and analyze from a comprehensive perspective the quality factors (systems, services, interfaces, information) for mobile real estate brokerage services that are well known and used in the domestic market. The surveys in this study were conducted online and offline and a total of 161 samples were used for statistical analysis. As a result, all hypotheses were approved to except system quality and service quality. The results show that the domestic proptech companies who are mostly focused on real estate brokerage services, peer-to-peer lending, advertising platforms and apartments need to grow in various fields of proptech business of other countries including Europe, USA and China.

• KDI Journal of Economic Policy
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• v.32 no.4
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• pp.1-34
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• 2010

We conduct a comprehensive risk analysis of household debt in Korea for the first time using the whole sample credit bureau (CB) data of 2.2 million individual debtors. After analysing debt service capacity profiles of debtor groups classified by the borrower characteristics such as income, age, occupation, credit scoring, and the type of creditor business companies, we investigate the impact of interest rate and income changes on debt service-to-income ratios (DTIs) and default rates of respective debtor groups. Empirical results indicate that debt service burdens are relatively high for low income wage earners, high income self-employed, low income capital and card loan holders, and high income mutual savings loan holders. We also find that debtors from multiple financial companies are particularly weak in their debt service capacity. The scenario analysis indicates that financial companies, with the current level of capital buffers, may be able to absorb negative consequences arising from the increase in DTIs and loan default rates if the interest rate and income changes remain modest. However, the negative consequences may fall disproportionately on non-bank financial companies such as capital, credit card, and mutual savings banks, whose debtors' DTIs are already high. We also find that the refinancing risk of household debt is relatively high in Korea as more than half of household mortgage debts are bullet loans. As the DTIs of mortgage loan holders are already high, under the current DTI regulation, mortgage loans may not be readily refinanced especially when the interest rate rises. Disruptions in mortgage loan refinancing may put downward pressure on housing prices, which may in turn magnify refinancing risk under the current loan-to-value (LTV) regulation. Overall our analysis suggests that, for more effective monitoring of household debt risk, it is necessary to combine existing surveillance schemes based on macro aggregate indicators with more comprehensive and detailed risk analyses based on micro individual data.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.31-56
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• 2019

The user satisfaction and needs of an academic library were caught through a questionnaire survey in this study. The aim of this study is to draw up the CRM based plan for meeting user needs on the study. The users' demographic information, library resources & their use, homepage, services, and facilities/environment of the library were categorized in the questionnaire and analyzed for this study. The major conclusions of this study are: (1) The library resources use was the highest, and its facilities/environment was the lowest in the user satisfaction study. It also revealed that there are much necessities for the quick acquisition and dissemination of the requested material to the library users, and for the inter-library loan (ILL) services among campuses for the subscription books in the library resources use study, too; (2) There are a lot of necessities for the improvement of OPAC retrieval and the subscription books system, and menu rearrangement in the library homepage; (3) There are a lot of necessities for the plans of more frequent library event, more detailed event guidance, and more reinforcement of public relations such as SMS, push services of SDI etc. in the library user services; and (4) There are a lot of necessities for the improved policies to the complaints of library users such as the lack of common study place and lockers, air conditioning and heating problem, complaints about facilities management of restroom (lack of toilet paper), library accessibility on campus, unauthorized user management etc. in the facilities/environment of the library.