• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.18
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• pp.105-134
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• 2002

In the Spring of 2000, the Banking Commission of the ICC decided to appoint a working group to draft a supplement to the UCP 500 to clarify the position regarding electronic presentation under a documentary credit. Provisions was drafted to supplement its existing rules for documentary credit, that is, UCP 500. These new provisions known as Supplement to UCP 500 for Electronic Presentation was approved by the ICC Banking Commission at the beginning of November 2001 and came in force as of 1 April 2002 The eUCP covers matters such as definitions of key terms such as electronic record, electronic signature, format, paper document, received. An eUCP Credit must specify the formats in which electronic records are to be presented and if not, electronic records may be presented in any format. Electronic records may be presented separately and need not be presented at the same time. The purpose of this paper is to understand the main substance of eUCP and to facilitate the introduction of electronic letter of credit by studying the problems and revision of eUCP and new electronic UCP. The main substances of eUCP are electronic address as place for presentation of electronic records, flexibility of the formats of electronic records to be presented, endowment of the notice of completeness of presentation to the beneficiary, one electronic record satisfying one or more originals or copies of an electronic record, the electronic records to be examined including the electronic record at the hyperlink to an external system or the referenced system, no remark as to the time period for the examination of documents. The Roles of eUCP are the Promotion of the Electronic Trade, the Supply of Basis on the Uniform Rules for Electronic Letter of Credit, the introduction of Electronic Trade Model. The characteristics of eUCP are a supplement to the UCP, no address of any issues relating to the issuance or advice of Credit electronically, independence of specific technologies and developing electronic commerce system, that is, Bolero Service. The Problems of eUCP are flexibility of format of electronic record, heavy burden on the side of banks, and the problems regrading the number of presentation, the notice of completeness of presentation, no provision in regard to the time to examine the electronic records, and representation of the electronic records. In the revision of eUCP to resolve the problems, the things to be taken into consideration are as follows; the designation of the format allowing the banks to examine electronically, prohibition of the paper documents, the development of the system receiving the electronic records, the addition of the reception notice on the side of the banks, the setting of the time to examine the electronic records, the construction of the backup system or the dual processing system.

• Information Systems Review
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• v.9 no.2
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• pp.129-147
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• 2007

At the time the local credit-card companies plunged into a liquidity crisis in 2002, S-Card was urged to take into account the estimated customer income (ECI) to enhance its customer credit evaluation function for the first time in Korean financial industry. Before this new attempt by S-Card, most credit-card companies including S-Card had performed a customer's credit evaluation based on the customer's behavioral factors such as the amount of purchase on credit, debt payment, and financial history that is provided from the Credit Bureau. However, this approach failed to measure customer's potential value which is one of the major factors in judging the customer's ability to pay, and hence, led to difficulties in risk management. The purpose of this case study is to present the better approach to sophisticated risk management for financial firms in Korea by reviewing S-Card's process of customer income estimation and its application to risk management.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.21
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• pp.73-97
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• 2003

In this paper, I examined the trends of standardization and electronization of trade documents and SWIFT network. Also, I reviewed on emerging electronic documentary credit for electronic payment and electronic presentation of documents. New international trade customs and practices are being established and changed as a result of the growth of the Internet and other on-line networks. At the same time there is increasing pressure to move from existing paper-based documentary credit to electronic documentary credit. Several projects devoted to development of an electronic letter of credit infrastructure have recently been proposed such as Bolero, SWIFTNet, UNeDocs and eUCP, etc. Yet, little can be done until the presentation process is electrified between traders and banks. Also, interbank communication of letters of credit has long been electronic, mainly through the SWIFT. However, it is not functioned between applicant and beneficiary, although the solution of SWIFTNet has recently been developed. The Banking Commission of International Chamber of Commerce established a working group consisting of experts in the related fields to prepare the appropriate rules as a Supplement to UCP 500 for Electronic Presentation: eUCP. The eUCP will provide the necessary rules for the presentation of the electronic equivalents of paper documents under letters of credit. Some problems of electronic presentation under the eUCP, exist such as format, presentation of electronic records and the way of beneficiary's notice for completeness under the Article e5 if more than one record is to be presented electronically by third parties. Therefore, it is encouraged to provide more detailed guide for eUCP Article e5.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.58
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• pp.237-263
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• 2013

Traditionally, a L/C (letter of credit) has been known as a relatively low risk method of payment. This is why L/C has been used in international trade. However, L/C has a number of weak points such as high cost, long processing time, and complicated documents. Using an electronic L/C is one way to solve those weak points. In Korea, there are two types of electronic L/C. One is the EDI (Electronic Data Interchange) based L/C and the other one is the XML (Extensible Markup Language) based L/C. The former, established in 1990's, is sent from banks to the beneficiary solely through VAN (Value Added Network, KTNET) operators. On the other hand the latter, started in 2005, is sent from banks to KFTC (Korea Financial Telecommunications & Clearings Institute) for management of the L/C balance, as well as to KTNET. So far, paper L/C and EDI based L/C have been used overwhelmingly instead of XML based L/C in spite of the aforesaid disadvantages. In this paper, the authors examined empirically why the users of electronic L/C were reluctant to use XML based L/C. The results are as follows. First, the users of paper L/C were more dissatisfied than the users of electronic L/C due to many factors such as cost, the time required, and information reuse. Second, the users who have more experience with XML based L/C wanted to adopt integrated management with EDI based L/C more than the users who had not experienced XML based L/C. Third, the users who had used more than one form of L/C wanted to adopt integrated management to EDI and XML based L/C more than the users who had only used one form of L/C. Therefore, the authority for electronic L/C should consider a change of the policy from the XML based electronic L/C oriented to integrated management of the various types of L/C.

• Asia pacific journal of information systems
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• v.19 no.2
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• pp.157-178
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• 2009

Corporate credit rating is a very important factor in the market for corporate debt. Information concerning corporate operations is often disseminated to market participants through the changes in credit ratings that are published by professional rating agencies, such as Standard and Poor's (S&P) and Moody's Investor Service. Since these agencies generally require a large fee for the service, and the periodically provided ratings sometimes do not reflect the default risk of the company at the time, it may be advantageous for bond-market participants to be able to classify credit ratings before the agencies actually publish them. As a result, it is very important for companies (especially, financial companies) to develop a proper model of credit rating. From a technical perspective, the credit rating constitutes a typical, multiclass, classification problem because rating agencies generally have ten or more categories of ratings. For example, S&P's ratings range from AAA for the highest-quality bonds to D for the lowest-quality bonds. The professional rating agencies emphasize the importance of analysts' subjective judgments in the determination of credit ratings. However, in practice, a mathematical model that uses the financial variables of companies plays an important role in determining credit ratings, since it is convenient to apply and cost efficient. These financial variables include the ratios that represent a company's leverage status, liquidity status, and profitability status. Several statistical and artificial intelligence (AI) techniques have been applied as tools for predicting credit ratings. Among them, artificial neural networks are most prevalent in the area of finance because of their broad applicability to many business problems and their preeminent ability to adapt. However, artificial neural networks also have many defects, including the difficulty in determining the values of the control parameters and the number of processing elements in the layer as well as the risk of over-fitting. Of late, because of their robustness and high accuracy, support vector machines (SVMs) have become popular as a solution for problems with generating accurate prediction. An SVM's solution may be globally optimal because SVMs seek to minimize structural risk. On the other hand, artificial neural network models may tend to find locally optimal solutions because they seek to minimize empirical risk. In addition, no parameters need to be tuned in SVMs, barring the upper bound for non-separable cases in linear SVMs. Since SVMs were originally devised for binary classification, however they are not intrinsically geared for multiclass classifications as in credit ratings. Thus, researchers have tried to extend the original SVM to multiclass classification. Hitherto, a variety of techniques to extend standard SVMs to multiclass SVMs (MSVMs) has been proposed in the literature Only a few types of MSVM are, however, tested using prior studies that apply MSVMs to credit ratings studies. In this study, we examined six different techniques of MSVMs: (1) One-Against-One, (2) One-Against-AIL (3) DAGSVM, (4) ECOC, (5) Method of Weston and Watkins, and (6) Method of Crammer and Singer. In addition, we examined the prediction accuracy of some modified version of conventional MSVM techniques. To find the most appropriate technique of MSVMs for corporate bond rating, we applied all the techniques of MSVMs to a real-world case of credit rating in Korea. The best application is in corporate bond rating, which is the most frequently studied area of credit rating for specific debt issues or other financial obligations. For our study the research data were collected from National Information and Credit Evaluation, Inc., a major bond-rating company in Korea. The data set is comprised of the bond-ratings for the year 2002 and various financial variables for 1,295 companies from the manufacturing industry in Korea. We compared the results of these techniques with one another, and with those of traditional methods for credit ratings, such as multiple discriminant analysis (MDA), multinomial logistic regression (MLOGIT), and artificial neural networks (ANNs). As a result, we found that DAGSVM with an ordered list was the best approach for the prediction of bond rating. In addition, we found that the modified version of ECOC approach can yield higher prediction accuracy for the cases showing clear patterns.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.824-829
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• 2009

SMS service is widely used for providing the approval information of a credit card when the payment is made by a credit card. But the message contained in the SMS is very simple and includes one time approval information. Although detailed approval informations could be retrieved by means of wire-network or mobile network services, the wire-network service could not be used on moving and the mobile network service requires high cost. In this paper, a WIPI application program managing the approval informations of a credit card based on the accumulated SMS messages in the cell phone has been developed. A cell phone user can conveniently can get the useful information such as the approval list on last month, the approval list on this month, the total amount on this month and the information about payment by installment from the developed program without any cost.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.183-190
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• 2017

This paper proposes a dynamic magnetic field emulator (DMFE), which can electrically emulate information for the magnetic stripes of most widely used credit cards. Payment transactions with most common credit cards are performed by reading the card's information, encoded in magnetic stripes, using the reader head of a point-of-sale (POS) system. A stripe-type permanent magnet is attached to the back side of the credit card, and information for payments or value-added service is reorganized by exposing it to strong magnetic field. The process of data recording and retrieving as stated above has been pointed out as a major cause of illegal credit card use, because the information on the magnetic stripe is always exposed, and is thus vulnerable to forgery or alteration. A dynamic magnetic field emulator displays card information only when necessary by using the principle of solenoidal magnets. The DMFE proposed in this paper can prevent fraudulent use if it is operated with a device, like a smart phone, or a separate user-authentication procedure. In addition, because it is possible to display various information as needed, it can be utilized for a smart multi-card application, in which information for multiple cards is stored in one card, and can be selected and used as needed. This paper introduces the necessity of the DMFE and its manufacturing principles. As a result, this study will be helpful for making various application cases in payment, which is a core area of the Fintech (a newly-coined word of finance and technology) industry.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.1-23
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• 2019

Big data refers to data that is difficult to store, manage, and analyze by existing software. As the lifestyle changes of consumers increase the size and types of needs that consumers desire, they are investing a lot of time and money to understand the needs of consumers. Companies in various industries utilize Big Data to improve their products and services to meet their needs, analyze unstructured data, and respond to real-time responses to products and services. The financial industry operates a decision support system that uses financial data to develop financial products and manage customer risks. The use of big data by financial institutions can effectively create added value of the value chain, and it is possible to develop a more advanced customer relationship management strategy. Financial institutions can utilize the purchase data and unstructured data generated by the credit card, and it becomes possible to confirm and satisfy the customer's desire. CRM has a granular process that can be measured in real time as it grows with information knowledge systems. With the development of information service and CRM, the platform has change and it has become possible to meet consumer needs in various environments. Recently, as the needs of consumers have diversified, more companies are providing systematic marketing services using data mining and advanced CRM (Customer Relationship Management) techniques. KB Kookmin Card, which started as a credit card business in 1980, introduced early stabilization of processes and computer systems, and actively participated in introducing new technologies and systems. In 2011, the bank and credit card companies separated, leading the 'Hye-dam Card' and 'One Card' markets, which were deviated from the existing concept. In 2017, the total use of domestic credit cards and check cards grew by 5.6% year-on-year to 886 trillion won. In 2018, we received a long-term rating of AA + as a result of our credit card evaluation. We confirmed that our credit rating was at the top of the list through effective marketing strategies and services. At present, Kookmin Card emphasizes strategies to meet the individual needs of customers and to maximize the lifetime value of consumers by utilizing payment data of customers. KB Kookmin Card combines internal and external big data and conducts marketing in real time or builds a system for monitoring. KB Kookmin Card has built a marketing system that detects realtime behavior using big data such as visiting the homepage and purchasing history by using the customer card information. It is designed to enable customers to capture action events in real time and execute marketing by utilizing the stores, locations, amounts, usage pattern, etc. of the card transactions. We have created more than 280 different scenarios based on the customer's life cycle and are conducting marketing plans to accommodate various customer groups in real time. We operate a smart offering system, which is a highly efficient marketing management system that detects customers' card usage, customer behavior, and location information in real time, and provides further refinement services by combining with various apps. This study aims to identify the traditional CRM to the current CRM strategy through the process of changing the CRM strategy. Finally, I will confirm the current CRM strategy through KB Kookmin card's big data utilization strategy and marketing activities and propose a marketing plan for KB Kookmin card's future CRM strategy. KB Kookmin Card should invest in securing ICT technology and human resources, which are becoming more sophisticated for the success and continuous growth of smart offering system. It is necessary to establish a strategy for securing profit from a long-term perspective and systematically proceed. Especially, in the current situation where privacy violation and personal information leakage issues are being addressed, efforts should be made to induce customers' recognition of marketing using customer information and to form corporate image emphasizing security.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.3
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• pp.1231-1245
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• 2015

People have transferred their business model from traditional commerce to e-commerce in recent decades. Both shopping and payment can be completed through the Internet and bring convenience to consumers and business opportunities to industry. These trade techniques are mostly set up based on the Secure Sockets Layer (SSL). SSL provides the security for transaction information and is easy to set up, which makes it is widely accepted by individuals. Although attackers cannot obtain the real content even when the transferred information is intercepted, still there is risk for online trade. For example, it is impossible to prevent credit card information from being stolen by virtual merchant. Therefore, we propose a new mechanism to solve such security problem. We make use of the disposable dynamic security code (DSC) to replace traditional card security code. So even attackers get DSC for that round of transaction, they cannot use it for the next time. Besides, we apply visual secret sharing techniques to transfer the DSC, so that interceptors cannot retrieve the real DSC even for one round of trade. This way, we can improve security of credit card transaction and reliability of online business. The experiments results validate the applicability and efficiency of the proposed mechanism.

• Korean Journal of Human Ecology
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• v.6 no.1
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• pp.1-13
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• 2003

This study attempts to investigate attitude toward internet shopping. internet purchase behavior. and purchase satisfaction of college student consumers. The data used for this study were collected from 361 college students who is living the southern part of Korea. and purchased goods and services on the internet at least one time during the previous 12 months. in Autumn, 2001. Data analysis were carried out using SAS package. Statistics used for data analysis were Cronbach'$\alpha$, Pearson's correlation analysis, and multiple regression. The results were summarized as follows : First, college student consumers in general are favorable to the internet shopping. The variable that has significant influence on the attitude toward the internet shopping was the web searching competence. Second, the variables that have significant influence on the internet purchases were the number of site visits, internet using time, credit card possession. personal income, and web searching competence. Third, the variables that have significant influence on the amount of internet purchases were personal income, internet using time, number of site visits. and credit card possession. Fourth, the variables that have significant influence on the satisfaction with internet shopping were internet shopping attitude and web searching competence.