• Journal of Korea Trade
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• 제23권8호
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• pp.27-44
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• 2019

Purpose - The purpose of this paper is to develop a tractable general-equilibrium model of examining the impact of human resource management on intra-industry trade. Commonly, managers of Korean firms are promoted internally. It necessitates a study of human resource management and its impact on an industrial equilibrium. Design/methodology - This paper relies on theoretical analysis. We build a model in firms are hierarchical; an entrepreneur, managers, and workers. All individuals have heterogeneous managerial talents, which are the main source of managerial quality. Firms search talents for prospect managers, and eventually delegate them to supervise workers. The searching incurs a sunk cost. Findings - Our finding is as follows. Country 1, relatively abundant of managerial talents, can gain more from trade than Country 2, relatively scarce of managerial talents. This is because the higher searching cost leads to the lower survival rate of firms in Country 2. Implicatively, good jobs are destroyed, and aggregate income falls in Country 2. Originality/value - According to our study, relative abundance of managerial talents affects distribution of firm size and determines trade gain. This study can contribute to the literature of organization management and trade.

• 인터넷정보학회논문지
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• 제19권2호
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• pp.89-98
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• 2018

Media industry is attempting various types of strategic innovation in the content and organization as they enter transition period. However, previous research has casually treated the organizational culture from the management and realized that cognitive/cultural differences between the specific departments yield conflicts. This means the researchers explored less on the decision-making process with the conflict between sub-groups and constituent in the organization. Our study reviewed the most positive method to achieve the innovation outcome through the conflict management within the organization based on the behavioral theory of the firm and applied computer simulation model for analysis to construct the quantitative scenario and infer the result. Conflict always found while media organization experiences innovation within the groups. However, in the long term, securing the independence through the certain state of 'anarchy' which possibly lead consensus implies significance rather to comprise collegiate system for unilateral control. In specific, this study explored the issues in 'conflict management' that has been evaded in media organization research through NK simulation model.

• ETRI Journal
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• 제27권2호
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• pp.206-218
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• 2005

We measure and compare externalities of IT and R&D capital stocks in different Korean industry sectors using inter-industry input-output tables of 1985, 1990, 1995 and 2000. We also compute the multiplier effects that relate to the directions of future economic effects. The key findings are as follows. First, we observed continuous capital deepening in all nine industries over the period of 1985 to 2000. Second, the backward multipliers of IT capital were the highest in the manufacturing industry. As for inter-industry externalities, the indirect backward multipliers, which exclude intra-industry backward multiplier effects within the industry, were also the highest in the manufacturing industry. Third, the forward multiplier effects of IT capital stock were the most substantial in the construction industry during the 1980s and in the manufacturing industry thereafter. Finally, using the transition multiplier matrix reflecting the backward effects of the two capitals in the past, the economic backward effects, especially the external economic effects, are predicted to increase through 2010 among all industries. The above findings suggest that, in order to maximize the forward and backward effects of the ever-increasing IT capital, we need to formulate an industry policy reducing the cost of capital accumulation in the manufacturing industry through improvement in productivity of the IT industry.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 춘계학술대회 논문집
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• pp.611-612
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• 2006

Many data mining techniques have been proved useful in revealing important patterns from large data sets. Especially, data mining techniques play an important role in a customer data analysis in a financial industry and an electronic commerce. Also, there are many data mining related research papers in a semiconductor industry and an automotive industry. In addition, data mining techniques are applied to the bioinformatics area. To satisfy customers' various requirements, each industry should develop new processes with more accurate production criteria. Also, they spend more money to guarantee their products' quality. In this manner, we apply data mining techniques to the production-related data such as a test data, a field claim data, and POP (point of production) data in the automotive parts industry. Data collection and transformation techniques should be applied to enhance the analysis results. Also, we classify various types of manufacturing processes and proposed an analysis scheme according to the type of manufacturing process. As a result, we could find inter- or intra-process relationships and critical features to monitor the current status of the each process. Finally, it helps an industry to raise their profit and reduce their failure cost.

• 유통과학연구
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• 제14권3호
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• pp.31-38
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• 2016

Purpose - This paper reviews the change of steel export-import structure between Japan and China by the courtesy of international business reference index and stress to analyze comparative advantage under the circumstance of time-series evaluating database by 3 indexes. Research design, data, methodology - Per economic phase, both China-Japan have mutually a complementary base. Under this kind of view point, the reason why to conduct this study is to realize how this 2 country's trade competitiveness should be improved and strengthened. Results - Under this research data and analysis outcomes, bilateral intra-economy's potential supplementation is enormous. Additionally, expected benefits from here are so sufficiently assured as we compare them with any other regional economic integrated society. Conclusions - When we review our economic point of view, Northeast economic cooperations between China and Japan can provide a chance for industrial technological cooperations not only in steel business but also in other business areas. Come to think of the circumstance to accelerate competitions between 2 country's industries past time and acknowledge concrete resource supplier including expanding export market and diversification.

• 통상정보연구
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• 제19권4호
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• pp.175-197
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• 2017

한 미 FTA 개정 협상이 국가적 현안이 되고 있는 가운데 본 연구는 시장비교우위지수에 의한 경쟁력 분석과 산업내무역 분석을 통해 한 미 FTA 발효를 전후하여 수출산업의 무역구조 변화를 파악하는 데 목적이 있다. 분석 결과, FTA 발효 전후로 대미 상품 및 서비스무역이 각기 흑자와 적자를 지속하고 있으며, 대미 투자는 미국의 대한국 투자를 훨씬 상회하였다. 시장비교우위지수를 활용한 수출상품의 경합보완관계 분석에서 미국과 수출우위의 보완관계를 형성하고 있으며, 산업내무역은 전반적으로 미약하게 나타나고 있는 가운데 일부 품목에서는 저품질 수직적 형태로 이루어지고 있는 것으로 나타났다. 분석 결과를 토대로 다음과 같은 정책적 제언 및 시사점을 제시하고 있다. 첫째, 서비스 무역의 경쟁력을 높여가면서 FTA 개정 협상에서 서비스와 상품부문에 대한 손실과 이익의 균형을 추구한다. 둘째, 경합 품목과 비교열위 품목의 경쟁력을 강화해 가면서 수출우위 품목에 대해서는 미국시장의 소비패턴에 대한 대응력을 강화하고, 생산기술 기반 확충과 원가절감을 통한 기술 및 가격경쟁력을 계속 높여 간다. 셋째, 대미 비교우위를 확보하고 있는 품목에서는 수평적 수직적 분업을 진행하고, 비교열위 품목에서는 수평적 분업을 추진한다.

• 한국시스템다이내믹스연구
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• 제12권2호
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• pp.69-94
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• 2011

Daejeon, encompassing Daedeok Science Town and Daedeok Innopolis, possesses the advantage of portraying relatively higher regional innovation capacity and facilitating network formation among regional professional research organizations. Applying the Social Network Analysis(SNA) techniques, this paper focuses on divulging structural and spatial characteristics of the Daejeon Information and Communication(ICT) industry network, analyzing co-research projects implemented by the Daejeon-based universities. For the analytical tool, it depends on NETMINER 3.0. Furthermore, based on the Systems Thinking approaches, this study suggests a couple of policy implications. Judging from the Korea Standard Industrial Classification principles, the existing ICT industry is subdivided into 11 sub-industries. The highest degree centralization value comes from the Mobile Communication sub-industry(188.668%), indicating that Mobile Communication sub-industry exerts the most significant impact on the regional innovation networking in Daejeon. Among various stakeholders, Korea Advanced Institute of Science and Technology(KAIST) records the top ranking in most categories, conspicuously leading the institute-industry linkage. In terms of the ICT spatial distribution, the intra-regional cooperation examples present the strongest linkage values, followed by Daejeon-the Capital Region ones. Finally, as well shown in a series of causal loop analyses, this study recommends that Daejeon should put top policy priority in strengthening the internal ICT network within Daejeon proper. Here, Daejeon should keep in mind the fact that there exist reinforcing loops between Daejeon's attractiveness and the entering of new ICT firms.

• 한국항해항만학회지
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• 제37권6호
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• pp.719-725
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• 2013

동북아 지역은 중국을 중심으로 세계 무역의 중심으로 성장하고 있다. 동북아 경제통합이 가시화되고 있는 현 상황에서 역내 무역 및 국제분업화는 더욱 활성화될 것이다. 특히 전기전자산업은 한 중 간 물동량의 상당부분을 차지할 뿐만 아니라 국제분업화 역시 활발하게 이루어지고 있다. 이러한 전기전자산업 무역 현황은 한 중 전기전자산업 물동량에 상당한 영향을 미칠 것으로 판단된다. 따라서 본 연구는 한 중 전기전자산업 무역 현황 분석과 선행연구 고찰을 통해 전기전자산업의 현황을 나타내는 요인을 도출한 후 패널 분석을 통해 한 중 전기전자산업 물동량에 영향을 미치는 요인을 탐색적으로 선별하여 시사점을 도출한다. 분석결과 물동량에 영향을 미치는 요인으로 양국의 GDP, 현시비교우위지수, 해외직접투자가 도출되었다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.143-146
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• 2005

Many data mining techniques have been proved useful in revealing important patterns from large data sets. Especially, data mining techniques play an important role in a customer data analysis in a financial industry and an electronic commerce. Also, there are many data mining related research papers in a semiconductor industry and an automotive industry. In addition, data mining techniques are applied to the bioinformatics area. To satisfy customers' various requirements, each industry should develop new processes with more accurate production criteria. Also, they spend more money to guarantee their products' quality. In this manner, we apply data mining techniques to the production-related data such as a test data, a field claim data, and POP (point of production) data in the automotive parts industry. Data collection and transformation techniques should be applied to enhance the analysis results. Also, we classify various types of manufacturing processes and proposed an analysis scheme according to the type of manufacturing process. As a result, we could find inter- or intra-process relationships and critical features to monitor the current status of the each process. Finally, it helps an industry to raise their profit and reduce their failure cost.

• 유통과학연구
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• 제12권11호
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• pp.35-43
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• 2014

Purpose - This study evaluates the mutual influential power regarding the trade volumes of Japan and USA, based on a literature review and an empirical analysis. Through the literature review, I could evaluate each country's actual import-export volume and its status. Further, I could evaluate how each country could influence its trade outcome, through empirical analysis. Research design, data, and methodology - This study aims to review the trade structure to improve Japan-USA economic and social cooperation, as the two countries have reciprocal complementary features, and to examine trade weaknesses and analyze factors influencing trade and its direction, as well as to identify ways to expand trade. Results - The intra-economic potential cooperation fields are numerous. Additionally, anticipated profits from these fields are stable as compared to other fields in the regional economic integration. Conclusion - The interrelations between the two economic identities can provide optimal opportunities for industrial technology cooperation. Under the current aggravated competition in industrial fields, it is advisable to identify ways to secure stable resource suppliers, including the development of export markets.