• International Journal of Internet, Broadcasting and Communication
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• 제12권3호
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• pp.125-130
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• 2020

At the end of 1997, the volatility of the exchange rate intensified as the nation's exchange rate system was converted into a free-floating exchange rate system. As a result, managing the exchange rate is becoming a very important task, and the need for forecasting the exchange rate is growing. The exchange rate prediction model using the existing exchange rate prediction method, statistical technique, cannot find a nonlinear pattern of the time series variable, and it is difficult to analyze the time series with the variability cluster phenomenon. And as the number of variables to be analyzed increases, the number of parameters to be estimated increases, and it is not easy to interpret the meaning of the estimated coefficients. Accordingly, the exchange rate prediction model using artificial neural network, rather than statistical technique, is presented. Using DNN, which is the basis of deep learning among artificial neural networks, and LSTM, a recurrent neural network model, the number of hidden layers, neurons, and activation function changes of each model found the optimal exchange rate prediction model. The study found that although there were model differences, LSTM models performed better than DNN models and performed best when the activation function was Tanh.

• 통상정보연구
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• 제9권3호
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• pp.151-160
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• 2007

The purpose of this study is to estimate the risk premium hedge ratio in foreign exchange risk of the foreign exchange rate insurance. The applicants of exchange rate insurance and Korea Export Insurance Corporation will be facing the risk in change of currency and guaranteed currency’s swap point upon contract being made. Also upon making decision of hedging exchange rate insurance, the company will need to be aware of the risk causing due to change in swap point.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.1053-1057
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• 2005

The Taiwan government agencies have been promoting e-commerce for the construction industry with several initiatives since 2000. The development of standards for the procurement information exchange among government agencies, construction firms, and suppliers for the construction industry is one of the major initiatives and begins to produce tangible results. This paper reviews the effort for developing the information exchange standards and compares the development strategies used in different segments in the supply chain. Lessons learned during the development course are also discussed.

• 정보와 통신
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• 제9권1호
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• pp.37-42
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• 1992

This paper presents a multi-purpose digital exchange which can be used as a private branch exchange(PBX) or a rural exchange(RX) or an exchange for the private special network. This new idea provides various features, reduced cost of installation and operation, easy expansion, replacement and relocation or reuse for another purpose at other locations.

• Asia pacific journal of information systems
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• 제19권1호
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• pp.83-111
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• 2009

Despite the growing emphasis on the importance of knowledge exchange among supply chain participants, few companies have fully exploited the knowledge resources held by their supply chain partners. Among many reasons for this phenomenon, recent literature on inter-firm knowledge exchange identifies knowledge complementarities between the supply channel partners as an important determinant of knowledge exchange. Firms participating in a supply chain are likely to exchange partners' complementary knowledge. In order to extract value from them, it is important to recognize the difference between the potential value and the implementation of this potential value. However, the literature fails to distinguish between potential knowledge complementarities and implemented knowledge complementarities. In order to realize the value of potential knowledge complementarities, knowledge should be exchanged and effectively integrated in the supply channel. Further, investigating inter-firm knowledge exchange from both partners' perspectives is important especially when there are interdependencies between the channel partners. The purpose of this research is to investigate the impact of potential knowledge complementarities on knowledge exchange in buyer-supplier relationships by looking at both partners' perspectives. This research also includes trust in partner's competence and inter-organizational information systems (IOIS) as they are relevant when the complementary knowledge flows between organizations. The data required for this field study was collected from 70 buyers and their suppliers in three multinational enterprises in two different industries (Automobile manufacturing and Telecommunication services) headquartered in Korea. The results indicate that potential knowledge complementarities between buyer and supplier do not directly influence knowledge exchange, but indirectly through trust in partner's competence. And the results indicate that competence-based trust and IOIS have direct effects on knowledge exchange. Empirical results also show that IOIS moderates the relationship between potential knowledge complementarities and knowledge exchange. This study is a first attempt to empirically verify the theoretical model about potential knowledge complementarities and to investigate the impact of potential knowledge complementarities on interfirm knowledge exchange. From a theoretical perspective, this study not only clarifies the distinction between potential knowledge complementarities and implemented knowledge complementarities, but also develops an instrument to measure the concept of potential knowledge complementarities in the context of operational and planning knowledge in a supply chain. Further, we develop a theoretical framework suggesting that potential knowledge complementarities of partners in a supply chain affect knowledge exchange directly and indirectly through competence-based trust. The findings from this study have some managerial implications for practicing managers as well. First, buyers should search for suppliers that have potential complementary knowledge, which can be integrated to create synergy through interfirm knowledge exchange. Furthermore, firms must develop mechanisms to identify potential complementary knowledge of partners. Second, firms should continue their endeavor to develop their own unique knowledge so that their knowledge can benefit the entire supply channel. Finally, trust among supply chain partners turns out to be an important factor for interfirm knowledge exchange. Therefore, effective management for engendering trustworthy buyer-supplier relationships should receive appropriate attention from managers.

• 통상정보연구
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• 제10권1호
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• pp.329-347
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• 2008

The purpose of this study is to examine the causal relationship between the exchange rate and economic growth, and to induce policy implications. In order to test whether time series data is stationary and the model is fitness or not, we put in operation unit root test, cointegration test. And we apply Granger causality based on an error correction model. The results indicate that uni-dierctional causality between exchange rate and economic growth is detected. Exchange rate impacts on economic growth, but economic growth don't impact on exchange rate. The analysis of impulse reaction function shows that the impulse of exchange rate impacts on Korean economic growth in negative direction. We can infer policy suggestion as follows: The fluctuation of exchange rate much affects economic growth, thus we must make a stable policy of exchange rate to continue economic growth.

• International Journal of Knowledge Content Development & Technology
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• 제8권4호
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• pp.55-74
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• 2018

Faculty advisors play a vital role in a learning and adjustment process of doctoral students at their work, department, university and discipline by sharing and exchanging relevant information and knowledge in the profession. Despite the important role of information practice in doctoral advising, few studies have investigated the informational aspects of faculty advisors and their students. Thus, this study aims to consider the distribution of information exchanged between faculty advisors and their doctoral students and relate them to doctoral students' demographic characteristics (gender, age, race and/or ethnicity, degree, and stage of doctoral work). The findings of this study show that overall information exchange is most frequent at the work level followed by the discipline, school/department, and university levels. In particular, information exchange at the work and discipline levels explains the characteristics of doctoral education, socializing students into both student and professional roles. In addition, there are statistically significant differences in information exchange along certain dimensions according to the advisee's gender, age, race and/or ethnicity, degree, and stage of doctoral study, suggesting that information needs and seeking behavior may vary according to the demographic characteristics of advisees.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2010년도 춘계 학술논문 발표대회 1부
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• pp.257-260
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• 2010

The Architecture, engineering & construction (AEC) industry domains have grown more complex and larger. BIM is a digital representation of a building to facilitate the exchange and development of construction information integration and interoperability. Industry Foundation Classes (IFCs), under development by International Alliance for Interoperability (IAI), represent the part of buildings or elements of a process. IFC has been adopted as a central information repository in order to deliver integrated information. BIM softwares could open the IFC file, recognize standard objects. However, sometimes, information distortion or information loss occurs during information exchange. As project participants exchange BIM information by using BIM softwares they will need a reliable and efficient exchange of information. This paper suggests the BIM object information compatibility problems among BIM softwares and classify the BIM object information compatibility problems.

• 한국정보시스템학회지:정보시스템연구
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• 제17권3호
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• pp.1-24
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• 2008

This study empirically investigated the relationships among inter-organizational contextual factors(assets specificity, long-term orientation and interdependence), information exchange between trading partners, inter-organizational loaming and trust, and inter-organizational performance. In this study, types of information exchanged between trading firms are classified into two broad kinds: transaction information and management information. from empirical results, we found that inter-organizational contextual factors have a greater positive impact on the exchange of management information. It is also observed that the exchange of information positively influences inter-organizational trust and loaming. finally, the results of this study showed that inter-organizational trust and teaming have positive effects on the improvement of inter-organizational performance. Thus, it is concluded that the amount of information exchanged according to the conditions of inter-organizational contextual factors gives rise to inter-organizational teaming and high levels of trust, and high levels of trust and learning contribute to the increase of inter-organizational performance.

• 한국CDE학회논문집
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• 제6권4호
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• pp.254-262
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• 2001

It is not possible to exchange parametric information of CAD (Computer Aided Design) models based on the current version of STEP (Standard leer the Exchange of Product model data). The design intent can be lost during the STEP transfer of CAD models. The ISO Parametrics Group has proposed the SMCH (Solid Model Construction History) schema in June 2000 that includes structures fur exchange of parametric information. This paper proposes the macro parametric approach that is intended to provide capabilities to transfer parametric information. In this approach, CAD models are exchanged in the form of macro files. The macro file contains user commands which are used in the modeling phase. To exchange CAD models using the macro parametric approach, modeling commands of commercial CAD systems are analyzed. Those commands are classified by the grouping method suggested by Bill Anderson. As a neutral file format, a standard modeling commands set has been defined. Mapping relations between the standard modeling commands set and the native modeling commands set of commercial CAD systems are defined.