• International Commerce and Information Review
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• v.16 no.1
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• pp.91-116
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• 2014

This study reviews the methodology for utilizing information technology by which even non-professionalists in FTAs and commodity classification area can perform the determination of commodity classification, with ease and by themselves, by means of easy utilization of the information on commodity classification and FTAs, of importing and exporting goods. This article examines the technological elements and logics, etc. which simulate the commodity classification for utilizing FTAs. To achieve this, the author has developed the technology to support the determination of commodity classification numbers by accumulating the database of examples for classification after analyzing the classification factors by each commodity item. Utilizing this Commodity Classification Determination Supporting System, users can enjoy effects of education as well as consulting. In this regards, the advantages of this system can be enumerated as followings : Firstly, self-checking on commodity classification can be performed. Secondly, time and cost for classification can be saved. Thirdly, comprehensive competitiveness will be enhanced by allowing traders to achieve the benefit of FTA preferential tariff, for they will be able to issue the Certificate of Origins on a more accurate and precise basis of commodity classification.

• Journal of Ginseng Culture
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• v.5
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• pp.21-31
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• 2023

Korean ginseng, a special product of Korea, has been one of the most important exports since the era of the Three Kingdoms. However, not many records were kept about ginseng in Korea until the Goryeo Dynasty. This paper summarizes the records relating to international diplomatic relations and trade of ginseng in the Goryeo Dynasty and the medicinal books known to have been published at the time. During the Goryeo Dynasty, ginseng was actively transported to the neighboring countries of Bohai, Song, Wa, Later Jin, and Yuan as a diplomatic gift or as a trade item. Ginseng was mainly exported from Goryeo to these countries, but it was also received as a diplomatic gift from Bohai and Khitan. Arabian merchants came to Byeokran Port, a representative international trading port of Goryeo, and traded ginseng. After the Mongol invasion, the demand for ginseng in the Yuan Dynasty was excessive, which became a big social problem. During the Goryeo Dynasty, several medicinal books were published, including Jejungiphyobang, Eouuichwalyobang, Hyangyakgobang, Samhwajahyangyakbang, Hyangyak Hyemin Gyeongheombang, Hyangyak Gugeupbang, and Biyebaekyobang. Hyangyak Gugeupbang, which was reprinted during the Joseon Dynasty, has been handed down to the present time, although this has not been the case for the originals of the remaining books. Recently, some of the latter books have been restored through the study of the references in various medicinal books of later generations. While the medicinal books used in the royal court showed that a high proportion of the prescriptions containing ginseng, not a single prescription for ginseng has been found in theHyangyak Gugeupbang, which was mainly used for commoners. This is thought to be because ginseng was very rare and expensive at the time, so it was difficult for commoners to access it.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.4
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• pp.514-525
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• 2013

Korea International Trade Association (KITA) statistics show that the import of circular-knitted clothes has suddenly increased since 2000; they have increased by 24.5% each year for 2000-2004 and by 8.2% for 2005-2009. In addition, a Korea Apparel Industry Association survey showed that more than 50% of young people in their 20s and more than 40% of mid-aged people in their 30s-40s wore T-shirts (the most frequently worn and/or regarded as the most comfortable item among knit clothes). This portion is expected to increase in the future; however, insufficient research has been conducted on the characteristics of product development and production, knit T-shirt pattern development (Park, 2011), and consumer purchase patterns and behavior for knit clothes. The evaluation criteria for knit clothes generally vary depending on the demographic characteristics of consumers (Kotler & Armstrong, 2006). This study conducted a wearing trends survey for circular-knitted T-shirts and fit satisfaction based on 318 male and female consumers in their 20s-30s. The results provide information on the basic materials required to produce circular-knitted T-shirts.

• Fashion & Textile Research Journal
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• v.9 no.1
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• pp.81-88
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• 2007

This study aimed to develop priorities alternatives based on relative rather than absolute assignments on clothing evaluative criteria. The relative comparison approach includes much redundancy and is thus less sensitive to judgemental errors common to techniques using absolute assignments. By deriving evaluative criteria for consumers in choosing clothing, and considering their relative important or value in the priority of evaluation elements. When the consumer selects clothing, it requires multi-criteria decision making exercise and needs to make trade-offs between different alternatives. With an application of the AHP's hierarchical structuring and pair-wise comparisons, this study will determine the weight and priorities of evaluation factor in clothing evaluative criteria in choosing cloth, which will eventually lead to improve management. Items for the setting priority were decided as 'symbol', 'practicality', 'economy', 'vogue', and 'aesthetic' by council. The data for this research were collected from respondents of 108 females in Busan. Data were analyzed by frequency and AHP. As the results, 'economy' was decided as a most important item. And 'a fashionable color' evaluated as that of first priority in the totality evaluation elements.

• Journal of Korean Society of Rural Planning
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• v.21 no.3
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• pp.33-45
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• 2015

The oversea export of agricultural-product about item and quantity has not increased recently; especially the fresh-product has a tough issue because of period of production, price large fluctuations, customs clearance, quarantine, and uncertainty about actual locality, we need the information based construction to exchange information quickly about whole range of export and to focus capacity of participation subject for increasing the export. In this study we design the agricultural-product transaction information system based on crowdsourcing to transact the agricultural-product and the information of influencing benefit directly, and the information offering about export-procedure from participation of customs clearance, finance, distribution, buyer, and producer's guild, etc. We expect the producer's guild about agriculture that has not participate the trade to be able to export the agricultural-product and the stabilization of price to transact the product of collapsed or boomed through the agricultural-product information system based on crowdsourcing.

• International Commerce and Information Review
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• v.7 no.2
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• pp.75-94
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• 2005

This study is focused on evaluating the computer-integrated just-in-time (CI-JIT) production system of a semi-conductor manufacturing firm in Korea. Approaching the mid-1980s, the emphasis was on low price, low-cost operations, and quality, especially in USA. American companies have shifted output to low-wage countries like the Philippines, Korea, Japan, Malaysia and allied countries that can make quality products at low prices. Korea and other Asian countries forego short-term profits to gain a solid foothold in a product market, recognizing that larger market share leads to lower cost and higher profit in the long run. They bring manufacturers and suppliers together to improve material management and operation management, using project teams that investigate topics, such as Just-In-Time(JIT)manufacturing, among others. The "Kanban" word means "card" in Japanese, and is used to indicate the desired final delivery schedule. The operation for a particular item produced is scheduled for a specific time. The same process is extended to the external suppliers. More recently, the cards are gradually being replaced by electronic procedures that follow the same concept. Its capacity must be capable of handling the various transactions required by the JIT coverage as well as some allowances for expanded applications.

• International Commerce and Information Review
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• v.9 no.2
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• pp.441-466
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• 2007

Geographical indications are place names (in some countries also words associated with a place) used to identify the origin and quality, reputation or other characteristics of products. Protection required under the TRIPS Agreement is defined in two articles. The purpose of this study is to select the representative geographical indication item of Korea, discuss of the new intellectual property rights, and promote the trade of that product. It is also discussed of a geographical indication registration system and the recognition with international point of view. The international geographical indication protection is strengthening in recent. There are many multilateral and bilateral discussions and talks for geographical indication system. In order to protect excellent Korean products locally and internationally, the 'Quality Management of Agricultural Products Act' has been introduced form July 1, 1999. The geographical indication registration of Korea currently is 31 cases. The geographical indication is limited the regional promotion in Korea. Therefore, it is studied the registered items on the list and analyzed the result of the registration. Consequently, this paper suggests that more effective ways have to be prepared for the systematic management of geographical indications, campaigns for the recognition as a property.

• Journal of Distribution Science
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• v.19 no.4
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• pp.37-51
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• 2021

Purpose: The purpose of this study is to provide a basis for establishing a policy to promote the export of Korean goods through the economic ripple effect of the Korean Wave. From 2001 to 2017, cultural goods exports and consumer goods exports data to 102 countries were used to estimate the effect of cultural goods exports on domestic consumer goods exports. Research design, data and methodology: Based on the Gravity Model, we analyzed the effects of domestic film, publishing, music, broadcasting, clothing, cosmetics, processed food, IT products, and automobiles on the export of consumer goods. Results: The empirical analysis estimated the trade creation effect of exports of cultural products driving exports of consumer goods and found that a 1% increase in exports of cultural products increased 0.136% in exports of consumer goods. Conclusions: The average rate of change in consumer goods exports due to changes in cultural product exports was 22.44, which could be interpreted as an increase of $2,244 in exports of consumer goods such as IT products, cosmetics, clothing, and processed foods. According to the analysis of export-driven effects of each consumer item by dividing cultural products by sector, the effects of export of processed foods, clothing, cosmetics, IT products, and film, music, publishing exports were statistically significant.

• Phonetics and Speech Sciences
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• v.15 no.3
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• pp.83-88
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• 2023

This study investigates the fine-tuning of large-scale Automatic Speech Recognition (ASR) models, specifically OpenAI's Whisper model, for domain-specific applications using the KsponSpeech dataset. The primary research questions address the effectiveness of targeted lexical item emphasis during fine-tuning, its impact on domain-specific performance, and whether the fine-tuned model can maintain generalization capabilities across different languages and environments. Experiments were conducted using two fine-tuning datasets: Set A, a small subset emphasizing specific lexical items, and Set B, consisting of the entire KsponSpeech dataset. Results showed that fine-tuning with targeted lexical items increased recognition accuracy and improved domain-specific performance, with generalization capabilities maintained when fine-tuned with a smaller dataset. For noisier environments, a trade-off between specificity and generalization capabilities was observed. This study highlights the potential of fine-tuning using minimal domain-specific data to achieve satisfactory results, emphasizing the importance of balancing specialization and generalization for ASR models. Future research could explore different fine-tuning strategies and novel technologies such as prompting to further enhance large-scale ASR models' domain-specific performance.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.69-88
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• 2022

One of the characteristics of South Korea's economic structure is that it is highly dependent on exports. Thus, many businesses are closely related to the global economy and diplomatic situation. In addition, small and medium-sized enterprises(SMEs) specialized in exporting are struggling due to the spread of COVID-19. Therefore, this study aimed to develop a model to forecast exports for next year to support SMEs' export strategy and decision making. Also, this study proposed a strategy to recommend promising export countries of each item based on the forecasting model. We analyzed important variables used in previous studies such as country-specific, item-specific, and macro-economic variables and collected those variables to train our prediction model. Next, through the exploratory data analysis(EDA) it was found that exports, which is a target variable, have a highly skewed distribution. To deal with this issue and improve predictive performance, we suggest a separated learning method. In a separated learning method, the whole dataset is divided into homogeneous subgroups and a prediction algorithm is applied to each group. Thus, characteristics of each group can be more precisely trained using different input variables and algorithms. In this study, we divided the dataset into five subgroups based on the exports to decrease skewness of the target variable. After the separation, we found that each group has different characteristics in countries and goods. For example, In Group 1, most of the exporting countries are developing countries and the majority of exporting goods are low value products such as glass and prints. On the other hand, major exporting countries of South Korea such as China, USA, and Vietnam are included in Group 4 and Group 5 and most exporting goods in these groups are high value products. Then we used LightGBM(LGBM) and Exponential Moving Average(EMA) for prediction. Considering the characteristics of each group, models were built using LGBM for Group 1 to 4 and EMA for Group 5. To evaluate the performance of the model, we compare different model structures and algorithms. As a result, it was found that the separated learning model had best performance compared to other models. After the model was built, we also provided variable importance of each group using SHAP-value to add explainability of our model. Based on the prediction model, we proposed a second-stage recommendation strategy for potential export countries. In the first phase, BCG matrix was used to find Star and Question Mark markets that are expected to grow rapidly. In the second phase, we calculated scores for each country and recommendations were made according to ranking. Using this recommendation framework, potential export countries were selected and information about those countries for each item was presented. There are several implications of this study. First of all, most of the preceding studies have conducted research on the specific situation or country. However, this study use various variables and develops a machine learning model for a wide range of countries and items. Second, as to our knowledge, it is the first attempt to adopt a separated learning method for exports prediction. By separating the dataset into 5 homogeneous subgroups, we could enhance the predictive performance of the model. Also, more detailed explanation of models by group is provided using SHAP values. Lastly, this study has several practical implications. There are some platforms which serve trade information including KOTRA, but most of them are based on past data. Therefore, it is not easy for companies to predict future trends. By utilizing the model and recommendation strategy in this research, trade related services in each platform can be improved so that companies including SMEs can fully utilize the service when making strategies and decisions for exports.