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

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2290-2299
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• 2009

This study aims to analyze the importances of various SCM adoption factors suggested in precedent researches with AHP. SCM adoption factors were categorized by four types: organization factor, transaction factor, relation factor, and information factor. Each factor has sub-factors. Organization factor has five sub-factors: adoption strategy, support of CEO, maturity of information technology, development of assessment system, and innovation leadership. Transaction factor has three sub-factors: transaction period, delivery/quality, and shared goal. Relation factor has five sub-factors: trust, collaboration, inter-dependence, conflict, and immersion. Information factor has three sub-factors: information quality, information share, and information exchange. There are sixteen sub-factors altogether. Analyzing the importances of SCM adoption factors with AHP, the importance of organization factor(.387) ranked the highest. Relation factor(.291), information factor(.167), and transaction factor(.155) followed. Putting the analysis results of primary hierarchy factors and secondary hierarchy factors together, support of CEO(.169) ranked the highest and trust(.124), adoption strateg (.089), share goal(.081), information exchange(.069), collaboration(.064), and information share (.057) followed.

• The Journal of Information Technology
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• v.5 no.1
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• pp.51-67
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• 2002

Over a period of several years there have been a number of queries raised with the ICC Banking Commission as to the determination, by banks, of what is an "original"document under a letter of credit and the necessity, if my, for such a document to be so marked. So, the ICC Banking Commission Decision on original documents was sent to members in July. This Decision emphasizes the need to correctly interpret and apply sub-Article 20(b) of UCP 500. Consequently, about Hand signed documents, Facsimile signed documents, Photocopies and Telefaxed presentation of documents, Banks examine documents presented under a letter of credit to determine, among other things, whether on their face they appear to be original. Banks treat as original any document bearing an apparently original signature, mark, stamp, or label of the issuer of the document, unless the document itself indicates that it is not original. Accordingly, unless a document indicates otherwise, it is treated as original if it : appears to be written, typed, perforated, or stamped by the document issuer's hand; or appears to be on the document issuers original stationery; or states that it is original, unless the statement appears not to apply to the document presented (e.g. because it appears to be a photocopy of another document and the statement of originality appears to apply to that other document).document).

• International Commerce and Information Review
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• v.4 no.1
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• pp.149-172
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• 2002

Within this thesis, the review and classification for research on Internet trade is mainly presented. It focused on subjects, Internet trade steps and research methodologies. One hundred eighty thesis topics were reviewed and all of this investigation has been completed between 1994 and November 2001. We found that Internet trade strategies are researched 19%, Global Internet law 7% and Contacts custom 5%. However, Internet trade theory, Electronic money, Internet trade dispute researches are founded very small portion on subjects review. Researches about Internet trade are recommended that perform though interdisciplinary research and various studies. Moreover, the research on Internet trade has to be based on the study on offline international trades and theories.

• The Journal of Information Technology
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• v.6 no.1
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• pp.85-105
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• 2003

The study revealed that the companies are still reluctant to stop using document-based payment methods although they are aware the use of electronic payment system would reduce express and save time. Considering problems that are suggested in the conventional payment method, more companies will introduce and utilize the electronic payment system. Moreover, as the refined electronic payment system is essential in electronic trade, active studies on this field would greatly contribute to the development of electronic payment system. The prevailing settlement of international trade still relies on trading documents while the legal issues are not finalized for electronic bill of lading (B/L) and electronic bill. This research purpose on comparing some e-trading models in character and presenting the obstacles of e-trading activation and the solutions. e-trading models this research has studied are BOLERO, TradeCard, electronic L/C etc. Comparing characteristic points of the e-trading model in this article are as follows; 1)Access ways as a global e-trading model, 2)Structural and Functional characteristic, 3)Role as a global e-trading model, 5)Legal and Application issues in practice, 6)Security issues for Technology. But Further studies on this subject would be needed.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.5
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• pp.55-66
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• 2023

This study analyzes the characteristics of customer's preferences on banking channels (branches, automated machines, telebanking, internet banking, and mobile banking) and examines the factors influencing channel usage. To accomplish this, ANOVA and multiple regression analysis are performed using customer data from Bank A. The analysis reveals that customers primarily utilizing branch counter transactions have a significant impact on the profitability of 1st and 2nd grade banks, particularly among the age group of 50 years and above. Additionally, it is observed that as customers' loan, deposit, and financial product holdings increase, branch counter transactions also increase. On the other hand, it is found that as the usage of mobile banking decreases in terms of loans and deposits, transaction volume increases.

• Review of Culture and Economy
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• v.20 no.3
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• pp.3-33
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• 2017

The present study analyzed movie consumption behavior from the perspective of transaction cost, taking into account the possible incurrence of additional costs in the process of consumers obtaining movie information to choose movies. Regression and multinomial logistic regression analyses were performed in the analysis by taking movie information and the individuals' social demographic characteristics as independent variables and the number and frequency of movies watched as dependent variables, using information from the "2015 movie consumer survey." The results showed that consumers considering elements such as "directors" and "online reviews" were found to be more active in movie consumption. The analysis of movie-watching frequency showed that the information considered when choosing a movie was different for high- and low-frequency movie viewers. Putting these factors together suggests that movie consumption can vary according to an individual's cultural capital, preferences, and their degree of movie information awareness. While existing studies have mostly analyzed the determinants of box office performance, the significance of the present study is its empirical analysis of individual movie information in terms of transaction cost. Based on the results above, it can be inferred that the cyclical structure of trading expenses influences movie consumption and, once preferences are formed through a certain level of consumption, the trading cost expenses decrease, which results in increasing consumption. Therefore, film makers need to establish and execute marketing strategies that appropriately use movie information so that consumers can reduce the trading costs necessary for movie watching.

• Korean Journal of Labor Studies
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• v.23 no.1
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• pp.221-253
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• 2017

This study aims at analyzing the management strategy and performance of companies that have been pursuing Generational Diversity. The management strategies were examined in terms of production, organizational structure and skill development. Performance was then evaluated using Balanced Scorecard (BSC). We selected four Japanese companies that practice Generational Diversity between the younger(age less then 34) and older generation(age older then 65). Our findings suggest the following. The common management strategies of the four companies include 1) creating generation-diverse teams 2) ensuring flexible work arrangements and 3) providing skill training programs. These strategies have yield positive outcomes such as sales increase, cost reduction (financial perspective) and expansion of the market share (customer perspective). Non-financial performance includes improvement of product and service quality (internal business perspective) and skill improvement of both the young and the old workers (learning and growth perspective). This study provides practical implications to domestic companies for their successful management of generational diversity in workplace.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.28-32
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• 2000

인터넷의 대중화와 더불어 전자상거래에 대한 관심과 중요성이 더욱 증대되고 있다. 전자상거래에서 보다 많은 고객들을 유치하기 위해서는 거래의 안정성 보장, 시스템의 사용 편의성, 다양한 물품의 제공, 저렴한 가격 등과 함께 차별화된 고객 서비스 전략이 필요하다. 고객의 취향에 적합한 상품 정보를 제공함으로써 고객의 만족도를 증진시키고 나아가 지속적인 방문을 유도하고자 한다. 본 논문에서는 고객이 전자상거래 쇼핑몰을 방문시 고객별로 관리되는 선호도를 활용하여 고객의 취향에 적합한 상품 정보를 제공한다. 퍼지논리를 이용하여 제품군간에 근접도를 반영함으로서 사용자에게 보다 좋은 상품 정보를 제공하는 기법을 제안한다.

• Electronics and Telecommunications Trends
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• v.5 no.3
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• pp.60-70
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• 1990

EDI는 기업간 거래정보를 컴퓨터 통신기술을 이용하여 전자적으로 교환하는 고도 정보서비스의 하나이다. EDI는 앞으로 기업통신의 핵심적인 도구로서, 또한 기업의 생존과 경쟁력 확보를 위한 전략적인 수단으로 널리 사용될 것으로 예측된다. 본고는 EDI의 출현배경과 EDI 서비스시스템의 구조와 기능 및 EDI 표준화 활동을 알아보고, EDI관련 국내.외 동향을 조사.분석하여, 이에 따른 대응방안을 논한다.