• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.403-411
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• 2021

This study discusses the influence of economic factors on the clothing exports from China and 15 South and Southeast Asian countries to the United States. A basic gravity trade model with three predictors, including the GDP value produced by exporting and importing countries and their geographical distance was established to explain the bilateral trade patterns. The conventional approach of multiple regression and the novel approach of Artificial Neural Networks (ANNs) were developed based on the value of clothing exports from 2012 to 2018 and applied to the trade pattern prediction of 2019. The results showed that ANNs can achieve a more accurate prediction in bilateral trade patterns than the commonly-used econometric analysis of the basic gravity trade model. Future studies can examine the predictive power of ANNs on an extended gravity model of trade that includes explanatory variables in social and environmental areas, such as policy, initiative, agreement, and infrastructure for trade facilitation, which are crucial for policymaking and managerial consideration. More research should be conducted for the examination of the balance between developing countries' economic growth and their social and environmental sustainability and for the application of more advanced machine-learning algorithms of global trade flow examination.

• Journal of the Korean association of regional geographers
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• v.10 no.4
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• pp.787-799
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• 2004

The industrial community in a metropolis has played an essential role to keep business in a large city. This paper aims to analyze the realities of trade network among enterprises at Buksungro Tools Commercial Cooperative in Daegu. The urban style industrial community is found at Buksungro in Daegu. There are more than one hundred small-sized enterprises. Major trades among enterprises are occurred within and/or by the area. The long-term trade networks within the Buksungro Tools Commercial Cooperative have played the key role to maintain the industrial community. The trade relationship has depended on business networks based on social capital rather than commercial mechanism. The trade networks have been established through credit transactions as well as handling troublesome orders. The trade networks help to transfer technology and to learn the tacit knowledge among firms. The long-term trade networks are more influenced by the social accessibility than spatial accessibility.

• International Commerce and Information Review
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• v.9 no.3
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• pp.305-320
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• 2007

With expanded use of B2B(between enterprises), B2G(between enterprises and government) and EDI(Electronic Data Interchange), and increased amount of available network information and information protection threat, as it was judged that security can not be perfectly assured only with security technology such as electronic signature/authorization and access control, Bayesian networks have been developed for protection of information. Therefore, this study speculates Bayesian networks system, centering on ERP(Enterprise Resource Planning). The Bayesian networks system is one of the methods to resolve uncertainty in electronic data interchange and is applied to overcome uncertainty of abnormal invasion detection in ERP. Bayesian networks are applied to construct profiling for system call and network data, and simulate against abnormal invasion detection. The host-based abnormal invasion detection system in electronic trade analyses system call, applies Bayesian probability values, and constructs normal behavior profile to detect abnormal behaviors. This study assumes before and after of delivery behavior of the electronic document through Bayesian probability value and expresses before and after of the delivery behavior or events based on Bayesian networks. Therefore, profiling process using Bayesian networks can be applied for abnormal invasion detection based on host and network. In respect to transmission and reception of electronic documents, we need further studies on standards that classify abnormal invasion of various patterns in ERP and evaluate them by Bayesian probability values, and on classification of B2B invasion pattern genealogy to effectively detect deformed abnormal invasion patterns.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.4
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• pp.568-582
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• 2011

This study aims to discover the characteristics of Sino-South Korean cross-border small-scale trade, which involves various players. Through this characteristics, this study ultimately intends to identify an operational mechanism of Sino-South Korean cross-border small-scale trade by investigating social capital as mobilized by small-scale traders. The results of this study can be expected to help understand how small-scale merchants address the uncertainty or risks surrounding their trade. Although it is an informal economic activity, the cross-border small-scale trade between South Korea and China is related to issues of the formal economy, such as job creation, benefits for local economies, and profit-seeking. Owing to this characteristics, small-scale trade is being conducted with the connivance of, or even with the tacit support from formal organizations, including municipal governments, customs, corporations, and shipping companies. Like trade in other countries, Sino-South Korean cross-border small-scale trade also requires different types of social capital, such as family networks, ethnic networks, social networks, and trust.

• International Commerce and Information Review
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• v.6 no.2
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• pp.265-285
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• 2004

The objective of this study has two folds. The first is to investigate current global certification system and the second is to suggest some possible solutions for expanding global e-trade networks. Both research and industrial communities recognize the importance of global certification problems in connection with global e-trade payment because global e-trade volume continue to grow. But not many research results have been reported to the communities in identifying some barriers against active global certification systems. This paper intents to suggest some possible solutions for improved global certification system and the results are summarized as follows: First, strict certification structure has to be relaxed by considering diverse mutual certification methods in global e-trade practice. This paper provides some comparative results about mutual certification methods among different nations. Second, numerous business models have to be derived such that they can be applied to other global certification applications than global e-trade. Third, global certified networks have to be expanded beyond mutual certification level. Once the certified structure among different nations have been established then diverse certified authority channels have to be implemented. Finally, since Korea has already established very good public certification infrastructure within the nation this platform has to be positioned in the center of global e-trade networks. This paper has of course to accept a critique such as this study provided limited results to generalized global e-trade certification model, and therefore empirical study for assessing robust model should be pursued in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.7
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• pp.1548-1554
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• 2005

e-Trade could improve marine logistic industry of our country to be convenient and efficient. However, in view of management, technical problems of networks have been revealed due to rapid increase of communications including electronic data. So, in order for Korea to be a leading country in east-northern Asia and a center for marine logistic information, control methods of networks should be employed effectively among information technology needed for e-Trade. Our objective to this research is focused as follows; Firstly, we investigate each part of e-Trade network and technical problems of communication networks. Secondly, we present an efficient control method of e-Trade network handling a large amount of network traffic. In this research, we try to provide an analytic foundation to practitioners rather than to present a direction to develop a new technology of communication networks.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.329-341
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• 2008

Knowledge management has garnered attention due to its role of maintaining competitive advantage. Creating and sharing knowledge is an essential part of managing knowledge. However, the best knowledge is underutilized because employees tend to seek knowledge through their informal networks, not reach out to other sources for obtaining the best knowledge. Prior studies on informal networks pointed out a negative influence of heavy reliance on learning through informal networks but they paid little attention to a structure of informal networks and its impacts on diffusion of knowledge. The aim of our study is to show impacts of informal network on knowledge management by employing a network structure and investigating diffusion of knowledge within it. Our study found out that performance of learning becomes lower in a highly clustered network. Creating random links such as serendipitous learning can improve performance of knowledge management. When employees rely on a knowledge management system, creating random links is not necessary. Costs of adopting knowledge affect performance of knowledge management.

• International Commerce and Information Review
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• v.7 no.4
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• pp.97-115
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• 2005

This paper describes the characteristics and outline of the Japan trade EDI project and proposes a vision for the future. The results are as follows; First, the TEDI(Trade EDI) project was initiated to promote paperless trading(using XML documents) on open networks such as the Internet, and to construct associated legal structures. Second there is converting harbor EDI system in existing EDI to single window system. Third, the NACCS system has been put into operation in Japan. To develope NACCS system must associate other system such as financial, insurance, logistic.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.2
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• pp.428-437
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• 2005

The trend of the electronic trade related with technology has been developed into the steps of service, application networks in its technical skill and scopes. But most fields for the steps were established before the electronic proliferation of the electronic trade and so the existing systems have had a limit in including the viewpoints for the international trade. Accordingly, to cover the limit, the policies for the new technical trend are necessary. In this article, the international networks, problems and improvement plans including the integration between companies in the technical sides are presented. And further the possibility and effects on the companies which are given by the electronic trade in the new technical circumstance are also presented.

• Journal of Communications and Networks
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• v.18 no.2
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• pp.227-237
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• 2016

Data collection is a key function for wireless sensor networks. There has been numerous data collection scheduling algorithms, but they fail to consider the deep and complex relationship among network lifetime, sink aggregated information and sample cycle for wireless sensor networks. This paper gives the upper bound on the sample period under the given network topology. An optimal schedule algorithm focusing on aggregated information named OSFAI is proposed. In the schedule algorithm, the nodes in hotspots would hold on transmission and accumulate their data before sending them to sink at once. This could realize the dual goals of improving the network lifetime and increasing the amount of information aggregated to sink. We formulate the optimization problem as to achieve trade-off among sample cycle, sink aggregated information and network lifetime by controlling the sample cycle. The results of simulation on the random generated wireless sensor networks show that when choosing the optimized sample cycle, the sink aggregated information quantity can be increased by 30.5%, and the network lifetime can be increased by 27.78%.