• 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.10 no.4
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• pp.171-199
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• 2008

The purpose of this study is to find out current problems facing the commodity trust of e-marketplace and export channel and product adaptation strategy in e-trade. This study will be an important benchmark to shed the light on understanding export channel and the localization adaptation strategy. The business performance of export corporations in Korea so that they will be able to build their own winning marketing adaptation strategy. This study will also obviously provide Korean export corporations having invested in foreign countries with the solid base to set up their marketing channel and localization adaptation strategy to compete with other export corporations abroad.

• 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.

• Korea Trade Review
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• v.45 no.3
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• pp.55-69
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• 2020

This study examines the research trends and knowledge structure of international trade studies using topic modeling method, which is one of the main methodologies of text mining. We collected and analyzed English abstracts of 1,868 papers of three Korean major journals in the area of international trade from 2003 to 2019. We used the Latent Dirichlet Allocation(LDA), an unsupervised machine learning algorithm to extract the latent topics from the large quantity of research abstracts. 20 topics are identified without any prior human judgement. The topics reveal topographical maps of research in international trade and are representative and meaningful in the sense that most of them correspond to previously established sub-topics in trade studies. Then we conducted a regression analysis on the document-topic distributions generated by LDA to identify hot and cold topics. We discovered 2 hot topics(internationalization capacity and performance of export companies, economic effect of trade) and 2 cold topics(exchange rate and current account, trade finance). Trade studies are characterized as a interdisciplinary study of three agendas(i.e. international economy, International Business, trade practice), and 20 topics identified can be grouped into these 3 agendas. From the estimated results of the study, we find that the Korean government's active pursuit of FTA and consequent necessity of capacity building in Korean export firms lie behind the popularity of topic selection by the Korean researchers in the area of int'l trade.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.311-316
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• 2005

The power saving mechanism of IEEE 802.16e operates in two modes; awake mode and sleep mode. While the user terminal transmits and receives packets in awake mode, it sleeps for a given interval to save the power consumption in sleep mode. The IEEE 802.16e specifies that the user terminal increases the sleep interval exponentially unless it has to wake up. In this paper, we analyze the performance of IEEE 802.16e power saving mechanism by considering down link traffic conditions. With the extensive simulations, we observe the trade-off between the power saving performance and the average packet delay. In addition, we observe that various performance parameters of IEEE 802.16e power saving mechanism are affected by the traffic patterns.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.71-101
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• 2017

Since late 2016, protectionism has been a major trend in world trade with the Great Britain exiting the European Union and the United States electing Donald Trump as the 45th president. Consequently, there has been a huge public outcry regarding the negative prospects of heavy industry firms in Korea, which are highly dependent upon international trade with Western countries including the United States. In light of such trend and concerns, we have tried to predict business performance of heavy industry firms in Korea with data regarding trade policy of the United States. United States International Trade Commission (USITC) levies countervailing duties and anti-dumping duties to firms that violate its fair-trade regulations. In this study, we have performed data analysis with past records of countervailing duties and anti-dumping duties. With results from clustering analysis, it could be concluded that trade policy trends of the Unites States significantly affects the business performance of heavy industry firms in Korea. Furthermore, we have attempted to quantify such effects by employing long short-term memory (LSTM), a popular neural networks model that is well-suited to deal with sequential data. Our major contribution is that we have succeeded in empirically validating the intuitive argument and also predicting the future trend with rigorous data mining techniques. With some improvements, our results are expected to be highly relevant to designing regulations regarding heavy industry in Korea.

• Korea Trade Review
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• v.47 no.4
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• pp.137-159
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• 2022

This study aims to analyze international trade papers published in Korea during the past 2002-2022 years. Through this study, it is possible to understand the main subject and direction of research in Korea's international trade field. As the research mythologies, this study uses the big data analysis such as the text mining and Social Network Analysis such as frequency analysis, several centrality analysis, and topic analysis. After analyzing the empirical results, the frequency of key word is very high in trade, export, tariff, market, industry, and the performance of firm. However, there has been a tendency to include logistics, e-business, value and chain, and innovation over the time. The degree and closeness centrality analyses also show that the higher frequency key words also have been higher in the degree and closeness centrality. In contrast, the order of eigenvector centrality seems to be different from those of the degree and closeness centrality. The ego network shows the density of business, sale, exchange, and integration appears to be high in order unlike the frequency analysis. The topic analysis shows that the export, trade, tariff, logstics, innovation, industry, value, and chain seem to have high the probabilities of included in several topics.

• Korea Trade Review
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• v.41 no.5
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• pp.285-304
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• 2016

e-Commerce in Small and Medium-sized Enterprises(SMEs) provides a platform for fair competition between SMEs and large enterprises, and brings economic benefits to SMEs. Thus in the recent years, the e-Commerce in SMEs developed rapidly. However, the overall proportion of e-Commerce in SMEs in China remains low, and many SMEs' decision-makers tend to feel that their business is relatively weak in terms of information construction of scale and financial management, thus they keep the 'wait and see' attitude about the e-Commerce development decisions. Therefore, SMEs are facing three puzzles about e-Commerce application. First, if the companies need to implement e-Commerce, what are the e-Commerce adoption decision factors. Second, what are the successful implementation factors of e-Commerce. And how about the relationship between them. The third is how to measure the implementation effect of e-Commerce. What is the performance evaluation factors of e-Commerce. In this paper, the theoretical and empirical exploration and research are conducted towards these SMEs. Considering the actual situation of SMEs, this paper builds a theoretical model, then puts forward relevant hypothesis. This paper analyzes present influencing factors based on enormous research papers, and finally discovers the critical successful factors in doing business with e-Commerce in SMEs by conducting Structural Equation Modeling. Five critical factors are verified by cases of enterprise by demonstration study. Lastly, we can draw a conclusion that the innovation ability of leaders, the IT support of leaders and e-Commerce strategies are the success factors of e-Commerce for Chinese SMEs.

• International Commerce and Information Review
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• v.10 no.2
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• pp.189-209
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• 2008

This paper discusses the practical improvements for state government promotion programs to strengthen export competitiveness of small and medium trade business in the province to meet the needs of e-trade. This paper, first of all, describes how the problem on this subject relates to the existing literatures. It provides theoretical background about what programs mainly influence the export competitiveness of the province's small and medium business. Based upon the above results, the questionnaire for the analysis was grounded. The approach methodology is IP(Importance-Performance) analysis of satisfaction. The analysis collected the relations between the implementation and the satisfaction of 159 firms on the export promotion programs provided by its associated organizations. The I-P analysis results also reported that the organizations provided with the programs were listed in highly order of satisfaction as follows; KOTRA, Small and Medium Business Administration, Small Business Corporation, Gyeongbuk Internet Trade Center. Even though limitations of this paper exist, it can find provide the frames of ideal export promotion programs to meet the needs of a new era of trade.

• Korea Trade Review
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• v.44 no.2
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• pp.221-237
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• 2019

Multinational corporations (MNCs) usually face indigenous business environments in host countries which are different from a home country's. In this circumstance, MNCs would accomplish low-investing performance if they pursuit the same as the home oriented business strategy in the host country. The more different kinds of specialized environments a host countries have, the more pressure of modifying the international strategy needed for MNCs. This paper examines that how a different market environment between a home country and a host country, through MNC's local responsive managements, can influence investing performance in a host country. This paper conducts structural equation analyses with collected empirical data focusing upon a MNC's market orientation efforts and the realization of management localization (i.e., increasing local sourcing intensity or local sales intensity) as mediators between the specialized environment in a host country and the MNC's investing performance. This paper has several contributions in developing the prior approaches: first, the market orientation variables are regarded not as normal independent factors but mediators; second, two step mediation model is examined to make link between host market's heterogeneity and MNC's performance.