• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2004.10a
• /
• pp.116-136
• /
• 2004

The objective of this study is to analyze the relationship between offline trust and use of online service focusing on Internet banking. For this purpose, we suggest an extended version of Technology Acceptance Model (TAM) that would explain use or acceptance of infer]nation technology especially in Internet based service areas. In order to connect offline trust with Internet banking use, TAM is extended by adding two variables - technical competence for security services that is one facet of trust on the bank's security technology and security risk that would influence use, perceived usefulness and perceived ease of use. Empirically our model is well proved with low significance level.

• The Journal of Society for e-Business Studies
• /
• v.3 no.1
• /
• pp.155-173
• /
• 1998

In this paper we present the development of internet banking and its impact on financial market. The internet banking has been introduced since 1990s, from which customers could obtain most financial services over internet, and will replace with the traditional banks. According to a survey, most of bankers agree that internet will play an important role in banking industry. The internet banking has an enormous impact on the transfer system and banking industry. The transfer system is divided into two-large-value transfer system and small-value transfer system, depending on the size of its transfer amount. The internet banking will enhance the transfer system, especially small-value transfer system. It will reduce the time lag between transaction of service and its payment. However, a congestion or a blockage in a part of network might stop the financial service all over the network, which is called "computer risk". As internet banking develops, banks have incentives to reduce their branches and have to compete with information-business companies which can offer financial EDI.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2005.11a
• /
• pp.157-162
• /
• 2005

Seamlessness is the Keyword of U-Commerce Which may be defined as the commercial interaction among providers, consumers, products, and services, enabled and supported especially by the real-world seamless communication of each entity and object's digital information. However, the possibility of the seamless transactions increases the privacy risk of the entities involved. Therefore, the core issue of U-Commerce is how to promote seamless transactions while protecting the privacy. for the seamlessness, the role of incentive-emphasized business model is important since the seamlessness makes clear which economic entities contribute to a commercial transaction. Economic entities will reject the seamless transactions unless the sufficient incentives are given to them. In order to consider the privacy issue, we suggest an alternative U-Commerce architecture based on Hybrid P2P Model and Personal Information Base.

• International Journal of Advanced Culture Technology
• /
• v.8 no.4
• /
• pp.242-248
• /
• 2020

Most works of art are done through brokers, and transaction details are not disclosed to the public and are always at risk of tampering. To solve these problems, many Artworks Blockchain Platforms that apply blockchain technology to art transactions are being used. Several companies are currently operating these platforms, but since various blockchain platforms are operated according to the content, the operating methods of each platform are different, and a related model is needed to solve these problems due to compatibility issues between platforms. In this paper, we collect the latest Artworks Blockchain Platforms data, and based on this, we will create and analyze the Color Petri net model of Artworks Blockchain Platform.

• Communications for Statistical Applications and Methods
• /
• v.27 no.6
• /
• pp.689-699
• /
• 2020

This study investigates the effect of life settlement on the monopolistic insurance market. In particular, we consider liquidity cost, which is the cost incurred to the insurer to meet the request of surrender, and trading cost, which is the transaction cost of the policyholders for the settlement. We first show that the introduction of a life settlement can increase insurance demand and enhance consumer welfare even when the trading cost is higher than the liquidity cost. That is, even if the settlement market is less efficient than the insurance market, both insurance demand and consumer welfare can be increased. Second, the insurer's profit can also be increased when settlement is introduced because not only can the insurer save the liquidity cost but also the demand of insurance increases. Lastly, insurance demand does not always decrease when both costs increase. Depending on the population distribution over the liquidity risk, the demand of insurance can be increased or decreased.

• Journal of Intelligence and Information Systems
• /
• v.27 no.1
• /
• pp.65-82
• /
• 2021

Stock market investors are generally split into foreign investors, institutional investors, and individual investors. Compared to individual investor groups, professional investor groups such as foreign investors have an advantage in information and financial power and, as a result, foreign investors are known to show good investment performance among market participants. The purpose of this study is to propose an investment strategy that combines investor-specific transaction information and machine learning, and to analyze the portfolio investment performance of the proposed model using actual stock price and investor-specific transaction data. The Korea Exchange offers daily information on the volume of purchase and sale of each investor to securities firms. We developed a data collection program in C# programming language using an API provided by Daishin Securities Cybosplus, and collected 151 out of 200 KOSPI stocks with daily opening price, closing price and investor-specific net purchase data from January 2, 2007 to July 31, 2017. The self-organizing map model is an artificial neural network that performs clustering by unsupervised learning and has been introduced by Teuvo Kohonen since 1984. We implement competition among intra-surface artificial neurons, and all connections are non-recursive artificial neural networks that go from bottom to top. It can also be expanded to multiple layers, although many fault layers are commonly used. Linear functions are used by active functions of artificial nerve cells, and learning rules use Instar rules as well as general competitive learning. The core of the backpropagation model is the model that performs classification by supervised learning as an artificial neural network. We grouped and transformed investor-specific transaction volume data to learn backpropagation models through the self-organizing map model of artificial neural networks. As a result of the estimation of verification data through training, the portfolios were rebalanced monthly. For performance analysis, a passive portfolio was designated and the KOSPI 200 and KOSPI index returns for proxies on market returns were also obtained. Performance analysis was conducted using the equally-weighted portfolio return, compound interest rate, annual return, Maximum Draw Down, standard deviation, and Sharpe Ratio. Buy and hold returns of the top 10 market capitalization stocks are designated as a benchmark. Buy and hold strategy is the best strategy under the efficient market hypothesis. The prediction rate of learning data using backpropagation model was significantly high at 96.61%, while the prediction rate of verification data was also relatively high in the results of the 57.1% verification data. The performance evaluation of self-organizing map grouping can be determined as a result of a backpropagation model. This is because if the grouping results of the self-organizing map model had been poor, the learning results of the backpropagation model would have been poor. In this way, the performance assessment of machine learning is judged to be better learned than previous studies. Our portfolio doubled the return on the benchmark and performed better than the market returns on the KOSPI and KOSPI 200 indexes. In contrast to the benchmark, the MDD and standard deviation for portfolio risk indicators also showed better results. The Sharpe Ratio performed higher than benchmarks and stock market indexes. Through this, we presented the direction of portfolio composition program using machine learning and investor-specific transaction information and showed that it can be used to develop programs for real stock investment. The return is the result of monthly portfolio composition and asset rebalancing to the same proportion. Better outcomes are predicted when forming a monthly portfolio if the system is enforced by rebalancing the suggested stocks continuously without selling and re-buying it. Therefore, real transactions appear to be relevant.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.48
• /
• pp.127-155
• /
• 2010

The international transactions of capital goods such as industrial plant exports, overseas constructions, and shipbuilding exports, are so huge that tremendous amount of funds are required, and that most of the loans are long-term credits of over five years. In the export of huge capital goods, financing is more crucial than technology itself. Some of the importing countries are developing ones that are politically and economically unstable. Therefore the financing mechanism for these transactions is conclusive in winning these projects. Global financial market instability caused by US sub-prime mortgage financial crisis expanded all over the world, and the international transactions have been decreased due to global credit crisis. This indicates how much influential the financing market is in international transactions. The financing schemes are classified into supplier credit and buyer credit by who provides the financing. A supplier credit is a credit extended by an exporter(seller) to an importer(buyer) as part of an export contract. Cover for this transaction may be extended by an export credit agency('ECA') to the exporter. In a sales contract a seller shall provide fund required to manufacture goods, and in a construction contract a contractor shall provide fund required to complete a construction. A buyer credit is an arrangement in which an exporter enters into a contract with an importer, which is financed by means of a loan agreement A Comparative Study on a Supplier Credit and a Buyer Credit in International Transactions of Capital Goods 155 where the borrower is the importer. In a sales contract a buyer shall provide fund required to manufacture and procure the goods, and in a construction contract an owner shall provide fund required to complete a construction. Therefore an exporter is paid on progressive payment method. A supplier credit and a buyer credit have their own advantages and disadvantages in the respect of the parties respectively. These two financing methods are selectively used considering financing conditions such as funding cost, importer's and/or exporter's financial conditions, importing country's political risk.

• The Journal of Society for e-Business Studies
• /
• v.20 no.2
• /
• pp.93-106
• /
• 2015

Providing trading partners with personal information to establish an e-commerce financial transaction is inevitable. Most e-commerce companies keep personal information and transaction data for user's convenience and develop additional services as their applications. However, keeping personal information increases the likelihood of identity theft causing direct or indirect damage while it may simplify repetitive financial transactions. This study introduces risk management methods based on quantitative and qualitative analysis including demand-supply curve model and Gordon & Loeb model to analyze the risks for security management. The empirical analysis with survey results from KISA (Korea Information Security Agency) shows that the root cause of different statistics of personal information leakage incidents according to core business of internet companies is the difference in their Loss Expectancy caused by them. Also we suggest disciplinary compensation and higher standard for personal information protection as a solution to prevent the variation of investment on it between individual companies.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.38B no.12
• /
• pp.976-983
• /
• 2013

The targets for the traditional IT management solutions has been mostly systems (server) and networks. Such that management system for system and network, SMS and NMS respectively, used be the IT management solutions. Now the speed of hardware improvement is faster than ever, the performance improvement scope is shifting from hardware towards software. Therefore, it is not arguable that the business success depends on the efficient and optimized application performance management. There are many different approaches are developed in the application performance management, but in this study, API-based logging system that most efficiently visualizes the correlation of call and response between Components and enables active performance management for monitoring real-time applications operation status and resolving the problems and failures quickly.

• Journal of Arbitration Studies
• /
• v.22 no.3
• /
• pp.119-139
• /
• 2012

In the case of Banque Paribas V. Banco Santander in England for the reimbursement request of deferred payment credit by the nominated bank, the L/C-issuing bank refused to pay the proceeds at maturity because of a fraudulent transaction. The reason of refusal was that the nominated bank, Banco Santander, had no right of payment in deferred credit before its maturity if it made payment of proceeds without notice to the issuing bank, that is, payment not based upon a credit transaction but on its own account. However, in the case of ADIB V. Fortis Bank in America, the New York court made the decision that the deferred payment bank could not refuse to reimburse to the nominated bank, Fortis Bank, because of fraud. Its decision was based on the UCP600. We have analyzed and investigated the above two cases-one was an English court's decision and the other an American's. The English court's decision was made under UCP500, but the American court's was made under UCP600, which was revised in 2007. As a result, we can expect that from now on in deferred payment credit transactions, the power of the nominated bank will be greater than before, but the issuing bank will bear the risk of the beneficiary's fraud, so the issuing bank will be hesitant to issue deferred payment credit. Notwithstanding, we thought that the New York court decision would come into effect in the activation of deferred payment credit in practical trade transactions.