• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.68-98
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• 2004

Although the internet is useful for transferring information, Internet auction environments make fraud more attractive to offenders because the chance of detection and punishment are decreased. One of fraud is phantom transaction which is a colluding transaction by the buyer and seller to commit illegal discounting of credit card. They pretend to fulfill the transaction paid by credit card, without actual selling products, and the seller receives cash from credit card corporations. Then seller lends it out buyer with quite high interest rate whose credit score is so bad that he cannot borrow money from anywhere. The purpose of this study is to empirically investigate the factors to detect of the phantom transaction in online auction. Based up on the studies that explored behaviors of buyers and sellers in online auction, bidding numbers, bid increments, sellers' credit, auction length, and starting bids were suggested as independent variables. We developed an Internet-based data collection software agent and collect data on transactions of notebook computers each of which winning bid was over 1,000,000 won. Data analysis with logistic regression model revealed that starting bids, sellers' credit, and auction length were significant in detecting the phantom transaction.

• Korean Management Science Review
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• v.21 no.2
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• pp.273-289
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• 2004

Although the Internet is useful for transferring information, Internet auction environments make fraud more attractive to offenders, because the chance of detection and punishment is decreased. One of these frauds is the phantom transaction, which is a colluding transaction by the buyer and seller to commit the illegal discounting of a credit card. They pretend to fulfill the transaction paid by credit card, without actually selling products, and the seller receives cash from the credit card corporations. Then the seller lends it out with quite a high interest rate to the buyer, whose credit rating is so poor that he cannot borrow money from anywhere else. The purpose of this study is to empirically investigate the factors necessary to detect phantom transactions in an online auction. Based upon studies that have explored the behaviors of buyers and sellers in online auctions, the following have been suggested as independent variables: bidding numbers, bid increments, sellers' credit, auction lengths, and starting bids. In this study. we developed Internet-based data collection software and collected data on transactions of notebook computers, each of which had a winning bid of over W one million. Data analysis with a logistic regression model revealed that starting bids, sellers' credit, and auction length were significant in detecting the phantom transactions.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.873-880
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• 2021

The purpose of this study is to investigate the impact of internal control on credit risk of joint stock commercial banks in Vietnam from 2007 to 2018. Furthermore, we specify bank-specific characteristics and macroeconomic conditions, and analyze how these factors affect credit risk of banks: the number of board members, the number of board members with banking or finance background as ratio of total board members, loans to total assets ratio, loans to deposit ratio, the number of days between the year-end and the publication of the financial statements, and the use of top four auditing firms proxy for five elements of internal control. By using the dataset of 30 Vietnamese joint stock commercial banks and Bayesian linear regression via Random-walk Metropolis Hastings algorithm, the results of this study show that five elements of internal control have a impact on bank credit risk, namely, control environment, risk assessment, control activities, information and communication, and monitoring activities. For factors of banks' characteristics, bank size and financial leverage have a negative impact on banks' credit risk, and bank age has a positive effect. For macroeconomic factors, inflation has a positive impact and economic growth has a negative impact on banks' credit risk.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.949-958
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• 2021

This study aims to develop a theoretical model in order to determine factors affecting consumer intention to use credit cards by combining Theory of perceived risk and Technology acceptance model. Despite of perspective of consequences in prior studies on related research fields, this study focuses on the sources of perceived risk, including transaction, payment and credit risks, which are proposed and measured in a preliminary research. A measurement model and a structural model with the presence of perceived risk in sources are tested in a formal research with data collected from 538 bank customers. An analysis results show that payment risk, usefulness, transaction risk, ease of use, and credit risk influence significantly Vietnamese consumers' intention to use credit cards in decreasing order of influence. These factors account for 64.6% of the variation in intended use. All three dimensions of perceived risk have a negative effect on the intention to use, with the total impact greater than the level of influence of the other two factors of usefulness and ease of use. These findings can be beneficial to banks in enacting policies to attract more consumers and to allocate resources for improving their credit card business.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.87-94
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• 2020

The paper aims to investigate the impact of presenting statements of cash flow using the direct method and the indirect method on loan decision by credit officers at Vietnamese banks. The data was collected from 150 credit officers of commercial banks in Vietnam based on the questionnaire about making loan decision when the cash flow statement is presented in different methods, namely, direct and indirect methods. This research uses T-tests to check whether using the direct or indirect method affects the accurate calculation of loan criteria, affects the loan decision by credit officers, and compare these two methods in the aspects of information provision. The research has pointed out that: 1) the direct method helps the calculation of indicators related to loans more accurately; 2) credit officers say that, while the direct method of presenting cash flow statement provides clearer information, the use of either the direct method or the indirect method does not affect the banks' loan decision. Since then, the author recommends that cash flow statements should be provided with information in a direct method to present the information needed for loan decision more accurately so as to improve the quality of cash flow statement.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.273-289
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• 2015

This study examined changes in citation index scores and rankings of thirty-five chemistry faculty members at Seoul National University using different co-authorship credit allocation models. Using 1,436 Web of Science papers published between 2007 and 2013, we applied the inflated, fractional, harmonic, network-based allocation, and harmonic+ models to calculate faculty's h-, R-, and normalization of h- and R- index scores and rankings. The harmonic+ model, which is based on our belief that contribution of primary authors should be the same regardless of collaboration, is designed to minimize the penalty for research collaboration imposed by harmonic and NBA models by boosting the contribution of collaborating primary authors to be on the equal footing with single authors. Although citation rankings by different models are correlated with each other within the same type of citation indicator, rankings of many faculty members changed across models, suggesting the importance of an accurate and relevant authorship credit allocation model in the citation assessment of researchers. The study also found that authorship patterns in conjunction with citation counts are important factors for robust authorship models such as harmonic and NBA, and harmonic+ model may be beneficial for collaborating primary authors. Future research that reexamines the models with updated empirical data would provide further insights into the robustness of the models.

• The Journal of Information Technology
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• v.3 no.4
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• pp.55-72
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• 2000

The International Standby Practices (ISP98) has been carefully crafted for use with standby letters of credit. ISP98 is expected to become widely used for standby letters of credit commencing January 1, 1999. These new practices have been ratified and jointly published by the International Chamber of Commerce- the same organization that Provided us with the Uniform Customs and Practices for Documentary Credits, UCP500. The intention behind drafting ISP98 was to consolidate common and accepted practices applying to Standby Letters of Credit and to set a worldwide standard. ISP98 gives issuing organizations a set of practices that are free from the anomalies that arise when UCP500 is applied to Standby Letters of Credit This paper focuses on ISP98 provisions that may lead to changes in forms of standby letters of credit and reimbursement agreements, that may lead to changes in standby practices, that may alert parties to issues they had not previously focused upon, or that parties may wish to limit or vary, This Paper also focuses on differences between ISP98 and the Uniform Customs and Practice for Documentary Credits, 1993 revision, ICC Publication No. 500(UCP 500).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.76-79
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• 2007

RFID is issued as a core technology for Ubiquitous environment recently. Especially, Mobile RFID which is converged with RFID and wireless internet, provides new services to users, increased added-value to service providers. For commercial service of Mobile RFID, it needs an accounting service. The Diameter Base Protocol, mostly used for authentication, authorization, and accounting service, supports only deferred accounting service. For more variable accounting policy, Diameter Credit-Control Application which is capable of prepayment accounting, also should be considered. In this paper, a new accounting model with Diameter Credit-Control Application for Mobile RFID service is proposed.

• International Commerce and Information Review
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• v.2 no.1
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• pp.67-95
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• 2000

Owing to the Boero Service, Global Trading will be materialized as international Business to Business E-Commerce. There are three principles in the letter of credit transaction, that is to say, independence and abstraction, document dealing, strict compliance. In the electronic letter of credit, these principles are called as independence and abstraction, electronic document dealing, strict compliance. As a joint venture between SWIFT and TT Club, bolero.net is changing the way the world trades by providing a web-based, paperless mode of commerce that is designed to become a global standard. As bolero.net supplies the service of the title registry resolves the problem of Electronic Bill of Lading, the electronic letter of credit will be easily introduced. Thus, this study deals with the Nature of the Electronic Letter of Credit Transaction and the Presentation of the Documents, in particular, the Bolero Bill of Lading.

• The Journal of Information Systems
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• v.30 no.4
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• pp.203-226
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• 2021

Purpose The purpose of this study is to enhance the accuracy score of personal credit scoring using the convolutional neural networks and secure the transparency of the deep learning model using eXplainalbe Artifical Inteligence(XAI) technique. Design/methodology/approach This study built a classification model by using the convolutional neural networks(CNN) and applied a methodology that is transformation of numerical data to imaged data to apply CNN on personal credit data. Then layer-wise relevance propagation(LRP) was applied to model we constructed to find what variables are more influenced to the output value. Findings According to the empirical analysis result, this study confirmed that accuracy score by model using CNN is highest among other models using logistic regression, neural networks, and support vector machines. In addition, With the LRP that is one of the technique of XAI, variables that have a great influence on calculating the output value for each observation could be found.