• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.37
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• pp.187-216
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• 2008

Risk regarding the possibility of loss can be especially problematic. If a loss is certain to occur, it may be planned for in advance and treated as a definite, known expense. It is when there is uncertainty about the occurrence of a loss that risk becomes an important problem. The word risk is often used in connection with insurance. No one generally accepted definition of risk exists, however. Of the many definitions, two distinctive ones are commonly used. One defines risk as the variation in possible outcomes of an event based on chance. That is, the greater the number of different outcomes that may occur, the greater the risk. Another way of expressing this concept is to state: The greater the variation around an average expected loss, the greater the risk. The second definition of risk is the uncertainty concerning a possible loss. The definition of risk as a useful one because it focuses attention on the degree of risk in given situations. The degree of risk is a measure of the accuracy with which the outcome of an event based on chance can be predicted. For now, it will serve our purpose to note the more accurate the prediction of the outcome of an event based on chance, the lower the degree of risk. After sources of risks are identified and measured, a decision can be made as to how the risk should be handled. A pure risk that is not identified does not disappear, the business merely loses the opportunity to consciously decide on the best technique for dealing with that risk. The process used to systematically manage risk exposures is known as risk management. Some persons use the term risk management only in connection with businesses, and often the term refers only to the management of pure risks. In this sense, the traditional risk management goal has been to minimize the cost of pure risk to the company. But as firms broaden the ways that they view and manage many different types of risk, the need for new terminology has become apparent. The terms integrated risk management and enterprise risk management reflect the intent to manage all forms of risk, regardless of type. International trade transaction is called between countries has features of globalism, cultural gap, long distance and long terms for the transaction. It is riskier than domestic transaction has its specific risks, such as foreign exchange risk and political risk, and requires various active risk management skills. Risks in relation to the international trade transaction are the contract risk, transit risk and payment risk, etc. The risk management in relation to the international trade transaction is to identify and measure these risks. The purpose of this study is to analyse the practical problems and its solution plan by analyzing various cases related to the risk management of bill of lading in the international trade transaction.

• International Commerce and Information Review
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• v.12 no.2
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• pp.59-83
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• 2010

The purposes of the study is to evaluate the discrepancy between user's expectation and satisfaction degree in the service of uTradeHub. In this regard, this study infers general solutions in order to induce the intersection area using IPA technique. Then this paper will present directions to improve the service of uTradeHub. In terms of methodology, this article disclosed that IPA model approach is greatly useful to evaluate user's attribute. First, variables like the link of different works(f1), trust of system(f4), information connection(f7) are located on the first quadrant. This means that importance and satisfaction are all high variables for user. So, this is very important variables that need continuous administration in order to maintain present state. Second, variables such as the speed of information acquisition(f2), improvement of use(f3), stability of system(f5) are located on the second quadrant. This means that user's importance is high but user's satisfaction is low. Therefore, this area needs an active improvement strategy and quick maintenance for e-Trade application. Third, variables like the appropriateness of information usage fees(f8), easy subscription(f9), customer support service(f10) are located on the third quadrant. Because these variables are all low for user's importance and satisfaction, we have to arrange strong and radical remedy for e-Trade service. Finally, variables like information offer(f6) are located on the fourth quadrant. This means that user's satisfaction is high but user's importance is low. The research result suggests that e-Trade service development would be re-organised as much as user feels the importance of process innovation.

• International Commerce and Information Review
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• v.7 no.1
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• pp.3-18
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• 2005

The purpose of this study is to investigate the determinants of critical success and to analyze the main factors which are affecting the successful implementation of Internet shopping mall. The major findings of empirical analysis are as follows : 1) The degree of searching easuness in the internet shopping mall is statistical significance. 2) The degree of customer response is the important success factor. 3) The speed of connection exert a beneficial influence upon the performance of shopping mall. 4) The standard of security system is be in direct proportion to the performance of shopping mall The result of this study will be useful for the chief executive officers to make more rational decision making for e-Business strategies is related to the Internet shopping mall. The paper also strives to provoke debate in this area with to encouraging further research on the topic.

• International Area Studies Review
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• v.13 no.3
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• pp.781-799
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• 2009

Korea and China should come up with a mutually beneficial FTA proposal at an early date and thus lead the way towards the FTA. An FTA with China is a key issue of economic cooperation in order to confront soaring Chinese competitiveness in international markets. The purpose of this research paper is to analyze the overall Busan regional economy impacts of the Korea-China FTA. We analyzed the quantitative effects of an FTA by using microeconomic concept. The Korea-China FTA will have positive effects on the overall industry in Busan. Therefore, Busan regional industries exports and imports are expected to grow. Busan is worried the deal would pave the way for imports of cheap Chinese agricultural products, hurting the nation's already fragile agricultural sector. In contrast, Busan's manufacturing sector is expected to see its surplus rise. In sum, we think the FTA will bring benefit to the whole industry in Busan Regional economy because it accelerates development of the industries by trade and investment along with comparative advantage.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.25-52
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• 2018

This study performs social network analysis based on consumer sentiment related to a location in Seoul using data reflecting consumers' web search activities and emotional evaluations associated with commerce. The study focuses on large commercial districts in Seoul. In addition, to consider their various aspects, social network indexes were combined with the trading area's public data to verify factors affecting the area's sales. According to R square's change, We can see that the model has a little high R square value even though it includes only the district's public data represented by static data. However, the present study confirmed that the R square of the model combined with the network index derived from the social network analysis was even improved much more. A regression analysis of the trading area's public data showed that the five factors of 'number of market district,' 'residential area per person,' 'satisfaction of residential environment,' 'rate of change of trade,' and 'survival rate over 3 years' among twenty two variables. The study confirmed a significant influence on the sales of the trading area. According to the results, 'residential area per person' has the highest standardized beta value. Therefore, 'residential area per person' has the strongest influence on commercial sales. In addition, 'residential area per person,' 'number of market district,' and 'survival rate over 3 years' were found to have positive effects on the sales of all trading area. Thus, as the number of market districts in the trading area increases, residential area per person increases, and as the survival rate over 3 years of each store in the trading area increases, sales increase. On the other hand, 'satisfaction of residential environment' and 'rate of change of trade' were found to have a negative effect on sales. In the case of 'satisfaction of residential environment,' sales increase when the satisfaction level is low. Therefore, as consumer dissatisfaction with the residential environment increases, sales increase. The 'rate of change of trade' shows that sales increase with the decreasing acceleration of transaction frequency. According to the social network analysis, of the 25 regional trading areas in Seoul, Yangcheon-gu has the highest degree of connection. In other words, it has common sentiments with many other trading areas. On the other hand, Nowon-gu and Jungrang-gu have the lowest degree of connection. In other words, they have relatively distinct sentiments from other trading areas. The social network indexes used in the combination model are 'density of ego network,' 'degree centrality,' 'closeness centrality,' 'betweenness centrality,' and 'eigenvector centrality.' The combined model analysis confirmed that the degree centrality and eigenvector centrality of the social network index have a significant influence on sales and the highest influence in the model. 'Degree centrality' has a negative effect on the sales of the districts. This implies that sales decrease when holding various sentiments of other trading area, which conflicts with general social myths. However, this result can be interpreted to mean that if a trading area has low 'degree centrality,' it delivers unique and special sentiments to consumers. The findings of this study can also be interpreted to mean that sales can be increased if the trading area increases consumer recognition by forming a unique sentiment and city atmosphere that distinguish it from other trading areas. On the other hand, 'eigenvector centrality' has the greatest effect on sales in the combined model. In addition, the results confirmed a positive effect on sales. This finding shows that sales increase when a trading area is connected to others with stronger centrality than when it has common sentiments with others. This study can be used as an empirical basis for establishing and implementing a city and trading area strategy plan considering consumers' desired sentiments. In addition, we expect to provide entrepreneurs and potential entrepreneurs entering the trading area with sentiments possessed by those in the trading area and directions into the trading area considering the district-sentiment structure.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.661-664
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• 2003

Trade-off of sorority and speed always exists in the latest network environment. Recently, developed security processors is improved very performance, and sorority connection algorithms of a lot of part were embodied by hardware. This high speed security processor is essential ingredient in string network security solution equipment development that require very big band width. In this paper, we wish to describe about design and implementation of 10 Giga VPN equipments. In this system, embodied 10 Giga to use Cavium company's Nitrox-II processor, and supports two SP14-2 interface and PCI interface. All of the password algorithm that password algorithm that support is used in common use VPN equipment for compatibility with common use VPN equipment are supported and support SEED algorithm developed in domestic. Designed to support IPsec and SSL protocol, and supports all of In-Line structure that is profitable in high speed transaction and the Look-Aside structure that is profitable in practical use degree of NPU(Network Processor Unit).

• Journal of Navigation and Port Research
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• v.38 no.6
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• pp.607-614
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• 2014

This article aims to explore and discuss research trends in global cruise industry using keyword network analysis. We visualize keyword networks in each of four groups of 1982-1999, 2000-2004, 2005-2009, 2010-2014 based on the top 20 keyword nodes' degree centrality and betweenness centrality which are selected among four centrality measurements, comparing them with frequency order. The article shows that keyword frequency collected from 240 articles published in international journals is subject to Zipf's law and nodes degree distribution also exhibits power law. We try to find out research trends in global cruise industry to change some important keywords diachronically, visualizing several networks focusing on the top two keywords, cruise and tourism, belonging to all the four year groups, with high degree and betweenness centrality values. Interestingly enough, a new node, China, connecting the top most keywords, appears in the most recent period of 2010-2014 when China has emerged as one of the rapid development countries in global cruise industry. Therefore keyword network analysis used in this article will be useful to understand research trends in global cruise industry because of increase and decrease of numbers of network types in different year groups and the visual connection between important nodes in giant components.

• Journal of Navigation and Port Research
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• v.39 no.4
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• pp.371-376
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• 2015

Port is responsible for the important role that creates a lot of value-added export and import-intensive countries, critical infrastructure, and in the national economy. Despite being an important facility for the past, awareness of the port is insufficient; In 2000s, increasing the world container traffic volumes, China's economic development, and trade volume in the Northeast Asia to generate a lot of are changing the perception of the role and importance of the port. According to the review of the master plan and the port recognition in Korean Port, this study examines determining factors which affects the port cargo volume. The target of the study is domestic small and medium-sized container port that receives a large hinterland cargo volume, excluding the impact of the Global Hub Port like Busan and Gwangyang port. Factors that affect the multiple regression analysis result of the port cargo volume are berthing capacity, degree of activation, connection number of countries, GRDP and number of manufacturers.

• International Area Studies Review
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• v.20 no.2
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• pp.235-256
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• 2016

The local governments have utilized overseas offices of businesses within their jurisdiction as a forward operating base to discover and expand the overseas market. In addition, overseas offices of businesses are expected to play a big role in economic, cultural, and personal exchange, and collection of information regarding overseas market trends. Recently, inviting foreign capital, promoting cities, and attracting foreign tourists are being done through them. Since foreign capital invitation has an effect on creating jobs, the population influx, increasing local government revenues, there is a high degree of competition for it among local governments. Also, while local governments have set out to actively attract foreign tourists through city promotion marketing and developing products in connection with their region, overseas offices of businesses are playing a major role in doing the job. However, due to low performance satisfaction against the budget invested, there have been criticisms that they need to improve efficiency. As a result, each local government is faced with a task to seek efficient operational plans since overseas offices of businesses in each local government are expected to play a bigger role in trade support and international exchanges.