• 한국항만경제학회지
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• 제23권1호
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• pp.1-18
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• 2007

본 연구에서는 환율의 컨테이너 물동량에 대한 영향의 비중을 고려하여 외환위기 이후 환율변동성이 커짐에 따라 컨테이너 물동량도 상당히 영향을 받은 것으로 예상되기 때문에 환율변동성의 컨테이너 물동량에 대한 장 단기적 영향을 체계적으로 분석하고 시사점을 도출하고자 한다. 환율변동성을 도출하기 위하여 GARCH 모형을 이용하여 우리나라의 환율 변동성 모형을 분석한다. 물론 구축된 모형을 분석하기 이전에 설정된 변수들과 모형의 안정성 검정을 위하여 단위근 검정과 공적분 검정을 실시한다. 또한 환율의 변동성이 컨테이너 물동량에 미치는 동태적 영향을 보기 위해 오차수정모형과 충격반응 및 분산분해를 실시하고 마지막으로 결론과 시사점을 도출한다. 분석결과 환율변동성을 포함시킨 컨테이너물동량함수를 회귀 분석한 결과 추정계수가 모두 이론적 예상과 부호가 일치하고 통계적 유의성도 높은 것으로 나타났다. 환율변동성은 우리나라의 컨테이너 물동량에 부(-)의 영향을 미치는 것으로 나타났다. 환율변동에 의한 불확실성이 예상됨으로써 위험기피에 의하여 무역과 생산이 감소하고 이에 따라 컨테이너 물동량도 영향을 받은 것으로 판단된다. 오차수정모형에 근거한 인과관계 검정에서 단기와 장기 모두 환율변동성에서 컨테이너 물동량간의 일방적 인과관계가 존재하였다. 또한 충격반응함수에서 나타난 바와 같이 환율변동성 충격에 대하여 컨테이너 물동량은 부(-)의 영향을 받으며 그러한 부의 효과는 비교적 짧은 기간 내에 안정적인 추세로 수렴된다. 예측오차의 분산분해의 결과는 환율변동성과 실질환율이 컨테이너 물동량의 분산에 상당한 영향을 미치고 있음을 알 수 있다.

• 한국컴퓨터정보학회논문지
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• 제21권12호
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• pp.107-114
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• 2016

Web system helps high-performance processing for big-data analysis and practical use to make various information using IT resources. The government have started the RPS system in 2012. The system invigorates the electricity production as using renewable energy equipment. The government operates system gathered big-data with various related information system data and the system users are distributed geographically. The companies have to fulfill the system, are available to purchase the REC to other electricity generation company sellers to procure REC for their duty volumes. The REC market operates single auction methods with users a competitive price. But the price have the large variation with various user trading strategy and sellers situations. This papler proposed RPS system modeling and simulation in web environment that is modeled in geographically distributed computing environment for web user with DEVS W/S. Web simulation system base on web service helps to analysis correlation and variables that act on trading price and volume within RPS big-data and the analysis can be forecast REC price.

• 유통과학연구
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• 제21권5호
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• pp.43-51
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• 2023

Purpose: The current research investigates the beneficial impacts of supply chain innovation and risk management on the competitive advantage of organizations, based on the resource-based theory (RBT) framework. Research Design, Data, and Methodology: 14 survey items were included in the study's questionnaire, utilizing a random sampling technique to gather data from 239 leaders and managers employed by various steel trading firms in Vietnam. In order to validate the data and examine relationships, the collected data is analyzed using structural equation modeling, confirmatory factor analysis, and reliability analysis via SPSS 22.0 and AMOS 22.0 software. A fictitious system has been suggested. Results: According to the findings, the most positive influence on competitive advantage is supply chain innovation, followed by risk management capability, having the second greatest positive influence. Conclusions: Some conclusions are drawn based on the research's findings in order to assist managers in realizing the significance and necessity of giving attention to supply chain innovation and improving risk management capabilities, both of which are essential components for achieving the competitive advantage of an organization.

• 유통과학연구
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• 제14권12호
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• pp.43-51
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• 2016

Purpose - The purpose of this paper is to discuss success factors behind ATO distribution channels by examining successful partnerships between producers and alternative trading organizations (ATOs). Research design, data, and methodology - This is a case study, an analytical approach, which illustrates how the partnership between producers and ATOs has strengthened the fair trade and the performance of participants in the trade based on the example of the trading relationship between Beautiful Coffee, an alternative trading organization dealing coffee related products, and the coffee cooperative union (CCU), a coffee producing cooperative in Gulmi, Nepal. Results - Beautiful Coffee in the partnership with HELVETAS empowered small coffee farmers by a successful institutionalization of CCU that consolidated the distribution channel to be more efficient. Also, Beautiful Coffee and its partnership with KOICA have tried to increase productivity and quality of coffee beans. Conclusions - The case of Beautiful Coffee demonstrates that the partnership between producers and alternative trading organizations (ATOs) has benefited the fair trade partners. In other words, Beautiful Coffee's partnerships with a NGO working in the local producing area, HELVETAS, and a government aid agency, KOICA could strengthen the relationship between the producers and the ATO, and thus contributes to the whole distribution channel.

• 재무관리연구
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• 제26권4호
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• pp.63-81
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• 2009

논문은 주식가격의 변동성과 거시경제변수 및 파생상품거래와의 관계를 실증적으로 분석한다. 이전 연구들에서 밝혀진 바와 같이 주식수익률의 변동성은 거시 경제변수의 변동성에 비해 훨씬 크게 나타날 뿐 아니라, 변수의 설명력도 약해서 거시경제변수-주식가격 변동성의 이론적 관계를 확인하기에 충분하지 않다. 1980년 이후의 한국 데이터를 사용한 분석의 결과도 이런 결과를 확인해 준다. 그러나 이들 결과는 금융활동 변수들이 누락되었기 때문일 수 있다. 이 논문은 특히 파생상품 거래의 변동성이 주식수익률 변동성을 상당 부분 설명할 수 있을 뿐 아니라, 거시경제 변수의 설명력도 복원시킬 수 있음을 확인해준다.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.131-141
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• 2020

This study is designed to investigate the impact of China exchange rate policy on its trading partners by using a country multi-dataset GVAR model. Our model includes samples of 30 countries, six from high-income, six from middle-income and eighteen from low-income countries. This study used annual time series data over the period 1992 to 2017. We constructed currency misalignment index and it provided some interesting features about the currency undervaluation and overvaluation. The results of the currency misalignment shows that China's Renminbi is structurally more undervalued over the sample period as compared to other countries, and fluctuation in major currencies effects the global trade around the world. The overall empirical results of the GVAR model indicate that RMB undervaluation affects the trade pattern and macroeconomic performance of China's trading partners. Overall, China's exchange rate undervaluation has mixed effects on trading partner's GDP, exports and imports. The devaluation of China's RMB efficiently stimulated China's exports and reduced imports. While, in some countries, this effect is reverse, the RMB undervaluation increases the GDP of partner countries and also increases their exports to China. The results confirm the strong and leading role of the Chinese Renminbi in the global trade.

• Journal of Information Technology Applications and Management
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• 제21권4호
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• pp.295-308
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• 2014

Global trading is an intrinsically complex endeavor with a number of parties involved. World-trading related international organizations have suggested that Single Window (SW) be used as a means to make the trading process simpler and smoother. However, since each firm has its own requirements and objectives with SW, yet there is no consensus as to what traits of 'good' Single Window are. This study uses IT appropriateness as a determinant to explain an impact on information systems success. Historically, IS success was understood as multi-dimensional constructs such as use and performance. In this study we propose another dimension, continuance, and investigate the relationships among these outcome constructs.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 제40회 하계학술대회
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• pp.46_47
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• 2009

The West African Power Pool is currently developing the regional electricity market for its member states. As the basic design for the cross-border power trading system for the West African Power Pool, the step-by-step evolution, the Baseline System and the Fullscale System, is estimated. Along with the interconnection project between member countries, the various functions from the data acquisition and processing by the Baseline System to the interchange trading by the Fullscale System will be implemented gradually.

• Journal of Information Technology Applications and Management
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• 제26권3호
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• pp.29-41
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• 2019

As users' interests of cryptocurrency has been increased, investment volume of it also increases. In the cryptocurrency market, it cannot always be distributed homogenous information to all investors, similar to the stock market because it reflects the characteristics of a market microstructure. Cryptocurrency traders, thus, like stock investors, can experience the information asymmetry in the market and cannot but help to depend on private information. The purpose of this study is to estimate the trading intensity of informed traders and uninformed traders among cryptocurrency investors around the world based on PIN (Probability of Informed Trading). We have an aim to compare the difference of information asymmetry according to the ten types of cryptocurrency. The results of this study are expected to prevent the continuous increase of suspicious transactions related to cryptocurrency and contribute to the development of a sound cryptocurrency market.

• 통상정보연구
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• 제8권1호
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• pp.143-163
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• 2006

The terms electronic trade, electronic trading and electronic commerce are often used interchangeably, and refer to trading transactions conducted using electronic media. Electronic trade is business-to-business transactions in an industrial context, while electronic commerce refers to retailing and the consumer sector as well as mass marketing. The Electronic trade process is defined as a flow of information (documents) exchanged between enterprises and trade-related firms (shipping companies, foreign exchange banks, forwarders, etc.) in the course of implementing a series of export and import procedures. Electronic trading systems exploit information technology to improve the efficiency of communications and/or to alter the nature of inter-organizational transactions. Many studies exist about the adoption of inter-organizational systems (IOS) and electronic data interchange (EDI), but few focus on electronic trade. The literature on exporting companies's electronic trade adoption and implementation, although extensive, consists mainly of exploratory studies focusing on technological characteristics such as barriers, benefits and usage. The purpose of this study is to broaden this perspective by investigating the environmental, organizational and technological drivers of business-to-business e-commerce adoption.