• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.79-95
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• 2012

As credit loan products significantly increase in most financial institutions, the number of fraudulent transactions is also growing rapidly. Therefore, to manage the financial risks successfully, the financial institutions should reinforce the qualifications for a loan and augment the ability to detect a credit loan fraud proactively. In the process of building a classification model to detect credit loan frauds, utility from classification results (i.e., benefits from correct prediction and costs from incorrect prediction) is more important than the accuracy rate of classification. The objective of this paper is to propose a new approach to building a classification model for detecting credit loan fraud based on an individual-level utility. Experimental results show that the model comes up with higher utility than the fraud detection models which do not take into account the individual-level utility concept. Also, it is shown that the individual-level utility computed by the model is more accurate than the mean-level utility computed by other models, in both opportunity utility and cash flow perspectives. We provide diverse views on the experimental results from both perspectives.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.1
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• pp.125-138
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• 2007

The Purpose of the study was to research the effectiveness of book selection each by faculty, librarians and students. For this purpose, the study performed a case study on K Academic Library to compare the circulation rate of the books selected by each group. According to the book selection and circulation records of 7,717 titles (16,809 volumes) during the last 3 years. it was shown that about 76% of the books were selected by librarians. With regard to the rate of books with more than 1time circulation record, books selected by librarians showed the highest with about 85%. With regard to the circulation rate of books with circulation record, books selected by students showed the highest.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.771-789
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• 2021

This study aims to examine the experiences and behaviors of youth's stock investment with credit loans. Using a qualitative case study method (Creswell, 2015), we interviewed 7 young investors. As a result of the analysis, based on the research method within the case, it was possible to find out the process and reasons for how the participants had credit loan experience and invested in stocks. In addition, 19 common categories could be derived from this. Further analyses classified the process as "start of stock investment", "immersion into the investment", "stock investment through credit loans", and "consequence of stock investment with credit loans". The study concludes with several policy implications and suggestions for future studies.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.4
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• pp.179-194
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• 2018

The purpose of this study is to discuss the application of the Latent Growth Model to measure the outcomes of public library. For outcome measurements, library circulation data were collected to identify longitudinal changes of library users' reading habit. The latent growth model was applied to statistically test the changes over time. The circulation data of 95,962 users registered in some public libraries in Seoul, ranged between 2010 and 2015, were analyzed using unconditional model, conditional model, and growth mixture model which all are called the latent growth model. The results show that the intercept of the model is 4.19 and the slop is 0.24 in the linear growth model. The gender difference in two latent variables including intercept and slop was a shade difference. The result from the growth mixture model analysis, additionally indicates that the number of books checked out by children under age 10 is rapidly increased. The application of the latent growth model in library fields is expected to widely spread out for the longitudinal data analysis.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.2
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• pp.131-146
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• 2021

In this study, overlapping recommended books in different schools were positively analyzed and the extent to which the recommended books leading to actual loan was statistically analyzed. The purpose of the study is to confirm the effects of recommended books by analyzing the data and extracting the proofs. For the method of research, eighteen elementary schools' recommended book lists and thirteen elementary schools' loan data were collected and compared by schools, by grades in a basic statistical analysis method. The result shows that recommended books similarity was low and recommended books affected the total volume of lend books. Loan frequency by grades showed the difference and in every school, lower grades had high loan frequency. The result of this study will be applied as basic data for applying recommended books in school libraries.

• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.1-24
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• 2023

In a situation with reducing numbers of students and local universities in crisis, this study aims to analyze collection and loan usage data in small-sized university libraries and present evidence for guiding their collection development policy. The data was collected from Rinfo from 2010 to 2022 regarding the numbers of enrolled students, collected books, book loans, and electronic resources and compared the average values of entire 4-year university libraries to those of small-sized ones by year and region. Results show that while the numbers of enrolled students and book loans have decreased in both of groups, the number of collected books has increased 30% more in small groups and the amount of electronic resource use has increased enormously as well. Correlation analysis presents that both of groups have the consistent result. It is suggested that small-sized university libraries should highly increase their budget ratio to electronic resources for collection development and build a consortium by university's speciality for mutual use of electronic resources.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.3
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• pp.65-73
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• 2012

Microfinance has been an important tool for the economic growth and poverty alleviation. But the success factors and risk factors have not been synthesized in academic literature. This article has paid attention to success factors and potential risk of the Grameen Bank. Grameen Bank methodology is almost the reverse of the conventional banking methodology. Conventional banking is based on the principle that the more you have, the more you can get. Founder of Grameen Bank, Professor Yunus pointed out that, "The least you have the highest you have the priority to receive a loan". On the basis of theoretical literature, there have been different kinds of success factors of microfinance observed in this paper. Key success factors of Grameen Bank are like these: innovation, strict administrative structure, adaptation and learning practice, incentive system. Complementary services such as business consulting and brokerage will contribute to borrowers' economic performance development.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.285-301
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• 2010

Peer-to-peer (P2P) lending is an open marketplace for loans not from bank but from individuals online. Financial transactions are facilitated directly between individuals ("peers") without any intermediation of a traditional financial institution. A market study by renowned research company forecasts that P2P lending will grow very fast and a couple of P2P lending sites in Korea also are getting attentions by providing the alternative financial services. In P2P lending market, Lender will enjoy higher income generated from the loans in the form of interest than interest that can be earned by financial products provided by official financial institutions. Furthermore, lenders are able to decide who they would lend the money for themselves. Meanwhile, borrowers with low credit scores are able to finance their liquidity requirement with low cost and convenient access to the Internet. The objective of this paper is to introduce P2P lending and its issues of information asymmetry. We provide the insights from the case study of one of P2P lending sites in Korea and review the issues in P2P lending market as research topics. Specifically, information asymmetry issues in both traditional financial institutions and P2P lending are discussed.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.4
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• pp.219-243
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• 2021

This study analyzes the effects of community-level socioeconomic deprivations (SED) on public libraries' book circulation in the Seoul metropolitan area. The study design draws upon the theory of local information landscapes, which explains the relationship between community characteristics and information behavior. Using four-year (2015-2018) open government and public library circulation data, we constructed a socioeconomic deprivation index by adjusting a multi-dimensional deprivation index and generated other variables. Multi-level robust linear regression models were used to examine the relationship between SED and public library circulation. In addition, we tested the moderating effects of the library collection size and the number of libraries per unit area, respectively, on library circulation. The results show that there is a significant negative relationship between socioeconomic deprivation and library circulation rate. Also, we found that the size of the library collection negatively moderates the effects of SED in areas with a large number of books, and the number of libraries per unit area was positvely related to the library book circulation, not moderating the effects of SED. These findings suggest that public libraries and policymakers should consider community characteristics in designing strategic plans for public libraries.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.4
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• pp.851-868
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• 2012

After the financial crisis in 2008, the financial market still seems to be unstable with expanding the insolvency of the financial companies' real estate project financing loan in the aftermath of the lasted real estate recession. Especially after the illegal actions of people's financial institutions disclosed, while increased the anxiety of economic subjects about financial markets and weighted in the confusion of financial markets, the potential risk for the overall national economy is increasing. Thus as economic recession prolongs, the people's financial institutions having a weak profit structure and financing ability commit illegal acts in a variety of ways in order to conceal insolvent assets. Especially it is hard to find the loans of shareholder and the same borrower sharing credit risk in advance because most of them usually use a third-party's name bank account. Therefore, in order to effectively detect the fraud under other's name, it is necessary to analyze by clustering the borrowers high-related to a particular borrower through an analysis of association between the whole borrowers. In this paper, we introduce Analysis Techniques for detecting financial loan frauds in advance through an analysis of association between the whole borrowers by extending SNA(social network analysis) which is being studied by focused on sociology recently to the forensic accounting field of the financial frauds. Also this technique introduced in this pager will be very useful to regulatory authorities or law enforcement agencies at the field inspection or investigation.