• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.321-330
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• 2020

The defense industry has recently been focused on boosting exports of weapon systems. Investigation and selection of promising export items for SMEs in the defense industry is essential to establish a defense promotion policy. This study presents a model for selecting promising export items applicable to the defense industry through case studies, such as criteria for selecting promising items from other organizations. The evaluation index is largely composed of three categories, competitiveness of the item itself, capabilities of the exporter, and ripple effect of the export, and consists of eight detailed evaluation indicators. The relative weight between categories was calculated through the AHP method. In the selection model, if a certain score is exceeded, it is then possible to adopt a promising item or verify validity. In particular, promising items were selected by applying this methodology to those involved in the defense industry. Using the model presented in this study, it is expected that domestic small and medium-sized enterprises with relatively high export competitiveness and excellent quality items will be given priority, and more effective and intensive export support will be possible.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.235-243
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• 2022

This paper aims to find promising export items for market expansion of defense export items. Germany, the UK, and France were selected as export target countries to obtain unstructured forecast data on weapons system acquisition plans for the next ten years by each country. Using the TF-IDF in text mining analysis, keywords that appeared frequently in data from three countries were derived. As a result of this paper, keywords for each country's major acquisition projects drawing. However, most of the derived keywords were related to mainstay weapon systems produced by domestic defense companies in each country. To discover promising export items from text mining, we proposed that the drawn keywords are distinguished as similar weapon systems. In addition, we assort the weapon systems that the three countries will get a plan to acquire commonly. As a result of this paper, it can be seen that the current promising export item is a weapon system related to the information system. Prioritizing overseas demands using key words can set clear market entry goals. In the case of domestic companies based on needs, it is possible to establish a specific entry strategy. Relevant organizations also can provide customized marketing support.

• Journal of Korean Electronics
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• v.8 no.9
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• pp.46-59
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• 1988

• The Optical Journal
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• s.101
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• pp.39-42
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• 2006

본 고는 산업자원부와 대한투자무역진흥공사가 추진하는 산업별·품목별 수출유관시장 발굴 및 이를 통한 전략적 해외시장진출 확대방안 수립사업의 일환으로서, 한국광학기기협회가 관련 업계 및 전문가와 함께 수행한『대 브라질 광응용 보안장비 및 레이저 시장진출 확대전략』에 대한 보고서중 일부 내용을 발췌한 것임을 밝힌다.

• The Optical Journal
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• s.102
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• pp.56-59
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• 2006

본 고는 산업자원부와 대한투자무역진흥공사가 추진하는 산업별·품목별 수출유관시장 발굴 및 이를 통한 전략적 해외시장진출 확대방안 수립사업의 일환으로서, 한국광학기기협회가 관련 업계 및 전문가와 함께 수행한『대 브라질 광응용 보안장비 및 레이저 시장진출 확대전략』에 대한 보고서중 일부 내용을 발췌한 것임을 밝힌다.

• International Commerce and Information Review
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• v.17 no.3
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• pp.93-114
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• 2015

In this study, the national competitiveness of Korean and Chinese medical device industry was analyzed through RCA index, MCA index, and TSI index in order to draw the export specialized items possessing the national competitiveness of Korea in Chinese market. The drawn national competitiveness index was grouped and the change progress was examined by years. Korea should analyze the tendency of Chinese medical device market, confirm our market share in the Chinese market, apprehend the competitive superiority, and draw and excavate the specialized export item in order to strengthen the competitiveness of Korean medical device in the Chinese market.

• International Commerce and Information Review
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• v.16 no.3
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• pp.73-96
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• 2014

The purpose of this research is to evaluate a short-term export demand forecasting model reflecting individual passenger vehicle brands and market characteristics by using Vector Autoregressive (VAR) models that are based on multivariate time-series model. The short-term export demand forecasting model was created by discerning theoretical potential factors that affect the short-term export demand of individual passenger vehicle brands. Quarterly short-term export demand forecasting model for two Korean small vehicle brands (Accent and Avante) were created by using VAR model. Predictive value at t+1 quarter calculated with the forecasting models for each passenger vehicle brand and the actual amount of sales were compared and evaluated by altering subject period by one quarter. As a result, RMSE % of Accent and Avante was 4.3% and 20.0% respectively. They amount to 3.9 days for Accent and 18.4 days for Avante when calculated per daily sales amount. This shows that the short-term export demand forecasting model of this research is highly usable in terms of prediction and consistency.

• The Journal of Bigdata
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• v.4 no.2
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• pp.115-126
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• 2019

There have been many discussions on export indices in trade exports, but there is no definite trade export index which can be explained by objective indicators. Korea International Trade Association (KITA), Korea Trade-Investment Promotion Agency (KOTRA), etc., but we are currently in the process of thinking about ways to express the capabilities of exporting companies. In this study, we constructed the AI data sets by setting the activity indicators such as the size of the company and the credit score, the number of transaction customers, the number of transactions, the number of items, the transaction volume, and the transaction period as features, Lightgbm. Using the Graph Neural Network as an industrial cluster classification model, the export live index which expresses the exportable capacity among companies, items, and business groups was calculated. This includes the past activity of the company from the current calculating index Objectivity.

• Journal of Mushroom
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• v.18 no.1
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• pp.95-99
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• 2020

The trade deficit in mushrooms has continued to increase in recent years. This study explored major issues and challenges faced by the mushroom industry to increase export, and to prioritize the current issues and challenges based on their relative importance. 11 major issues and challenges in the mushroom industry were highlighted in focus group interviews. Best-worst scaling analysis prioritized these major issues and challenges, and questionnaire surveys were completed by 31 mushroom industry experts. The results revealed that strengthening the mushroom quality and price competitiveness were the main priorities, followed sequentially by a diversification of the overseas export markets and stabilization of the domestic mushroom price.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.152.1-152.1
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• 2010

최근들어 기후변화와 자원부족이 현실적 위협으로 등장하면서 에너지와 환경문제가 국가경제의 미래를 결정하는 주요변수로 부각되고 있다. 이는 환경이 경제성장의 제약요인이 아닌 지속성장을 가능하게 하는 새로운 기회요인으로 전환되었음을 의미한다. 이러한 이유로 미국 EU 일본 등 선진국들은 녹색시장을 선도하기 위해 자신들의 국력을 집중하고 있다. 우리나라는 고유가로 인한 자원부족과 기후변화 위기를 극복하기 위하여 미래지향적인 저탄소 녹색성장을 새로운 국가비전으로 제시(815 경축사)한 바 있으며, 녹색성장은 신성장동력과 일자리 창출을 주도할 수 있는 신국가발전 패러다임으로 자리잡았다. 이에 따라 에너지분야의 국가정책을 주도하기 위한 일환으로 그린에너지기술의 국가별 협력체계 구축을 통해 에너지기술개발 대안 수립이 필요하다. 우리는 선진국과 기술수준을 비교할 때 상대적으로 기술개발 후발자(follower)로서, 효과적으로 그린에너지기술을 개발하기 위해서는 선진국과의 국제협력이 현실적인 대안이라고 할 수 있다. 본 연구에서는 AHP기법과 SM기법을 복합적으로 활용하여 12대 그린에너지기술의 국제협력을 위한 영향요인 발굴 및 평가에 적용하였고, 각 기술별 전략품목에 대한 평가를 통해 국제협력 우선순위를 산정하였다. 영향요인으로는 국제협력유형, 기술개발 시급성, 기술수준, 시장성, 수출성을 고려하였으며, 평가결과는 CCS가 가장 높은 것으로 나타났다. 다음으로 그린카, 전력IT, IGCC가 상위권 그룹에 속하는 결과를 도출하였다.