• Proceedings of the KAIS Fall Conference
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• 2002.11a
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• pp.229-232
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• 2002

최근 ERP Package를 도입하여 정보시스템을 구축하는 기업이 날로 증가하고 있다. 이것은 기업간의 경쟁이 날로 치열해지고 있는 기업경영적 환경과 정보기술적 환경의 급속한 변화에 기인한다고 할 수 있다. 또한 BPR을 성공적으로 추진함에 있어서 ERP는 핵심도구로 등장하고 있는 실정이다. 최고경영자에게 유용한 정보를 적시에 전달하여 생산성을 높일 수 있도록 의사결정을 지원하는 정보시스템이라고 할 수 있다. 그러나 외국의 ERP 도입 실태에 비하여, 국내에서는 그 수와 질에 있어서 초보단계에 머무르고 있는 실정이다. 본 논문은 이 방대한 ERP패키지의 내용 중에서도 중소기업 특히 매출액500억 미만의 제조업 체를 위하여 기업 실정에 맞고 자금에 부담을 느끼지 않을 정도에 투자로 최적에 환경과 최소에 비용으로 인터넷을 기반으로 한 중소제조업을 위한 전사적 자원관리 시스템을 설계하고 구현한 다음 기술적인 요인과 업무적인 요인 등으로 인한 문제점을 분석하여, 중소기업의 정보화 인프라 구축에 대하여 연구하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5558-5563
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• 2011

Using longitudinal data of 108 firms in large business conglomerates from 2001 to 2009, this study examines the impact of controlling shareholders' control-ownership disparity on R&D investment. The study finds that control-ownership disparity is negatively related to R&D intensity. This empirical result suggests that controlling shareholders' control rights in excess of ownership rights incent controlling shareholders' expropriation for their private interests, leading to decreased R&D investment which enhances firm value in the long term.

• International Commerce and Information Review
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• v.16 no.4
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• pp.385-408
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• 2014

The purpose of this paper is to find the determinants of Korean FDI(1996~2012) in China using the spatial autoregressive model and four regions of China is analyzed respectively. Most previous studies ignored spatial interdependence to analyze the determinants of Korean outward FDI in China. Empirical results of total Chinese area shows per RGDP and spatial effects are positive and significant variables. Results of region A reveal that per RGDP is positive and spatial effects are negative and significant. Results of region B shows that both per GDP and spatial effects are positive. All variables of region C are insignificant but those of region D are significant and positive. This means that Korean companies to invest in region D should consider spatial characteristics of surrounding areas of D.

• Environmental and Resource Economics Review
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• v.16 no.3
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• pp.723-738
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• 2007

This paper draws some implications from Logarithmic Mean Weight Divisia Method (LMWDM) on the sources of $CO_2$ emission changes in the manufacturing sectors of Korea, UK, and USA. The sources of change in industrial $CO_2$ emission of a country, as manifested by production scale factor, structural factor, and technical factor, summarizes the forces behind the change in $CO_2$ emissions in each country's manufacturing sector. There are three observations. First one is that Korea's emission is increasing while USA and UK are experiencing reduction or stabilization of $CO_2$ emission in the manufacturing sector. Second implication is that the technical factor affecting $CO_2$ emission in Korea does not help much, or even hinder, the reduction of $CO_2$ emissions, comparing to USA and UK. Third one, which is the combined result of the first and the second one, is that Korea's increasing trend in aggregate $CO_2$ emission throughout the periods in consideration is mainly due to the failure in technical progress, or the deterioration in the structure of within subcategories, or both. The policy implications is clear. The obvious prescription is to launch a nation-wide policy drive which can revert these adverse trends.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.216-230
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• 2018

In this paper, we analyze the economic ripple effects of technology related to the unmanned aerial vehicle industry by applying industry association analysis. Specifically, the effects of employment creation, value added inducement, sensitivity coefficient, and influence coefficient can be calculated, and implications for the analysis result are presented. As a result, the employment inducement effect was confirmed to be 10.017 persons per 1 billion won of investment. The value added inducement effect was much higher than the other manufacturing industry average (employment inducement coefficient: 2.285, value added inducement coefficient: 0.581) when the 1 won budget was added, resulting in 0.9771 won added value. In the unmanned aerial vehicle industry, the coefficient of sensitivity, which means the front chain effect, is 0.7870, which is lower than the manufacturing average (sensitivity coefficient 1.125), and the coefficient of influence, which means the backward chain effect, is 1.161, which is higher than the manufacturing average (influence coefficient: 1.116). Therefore, it is classified as the final demand manufacturing industry. This means that the unmanned aerial vehicle industry is an industry that is less affected by economic fluctuations and can be interpreted as an industry with a greater economic impact than other sectors. Based on these data, it can be used to establish the R&D investment direction policy of the unmanned aerospace industry.

• Journal of Technology Innovation
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• v.29 no.4
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• pp.95-124
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• 2021

Startups play an important role in economic growth and job creation in niche markets, thus governments regularly expand their research and development(R&D) budgets accordingly. As stratups are more dependent on governments to compensate for insufficient resources and capabilities than large and medium-sized companies, trust in government policies will be important. In this study, we analyzed the impact of startups' trust in government R&D policies on innovation performance. There were three major results. The first result is that government R&D investments in startups increase innovation performance in the manufacturing and high-technology industries but did not affect other industries. The second result is that trust in government R&D policies increased innovation in high-and medium-high technology and manufacturing industries. The third result is that trust in government R&D policies affects innovation before, during, and after evaluation of support process. We analyzed the importance of trust to the effectiveness of government R&D support to determine how to effectively provide it. The results show that governments need to differentiate the types of R&D support they provide according to the target firm's technology level and whether they are a manufacturing company and that appropriate R&D support mechanism should be developed for low-technology and non-manufacturing companies. Finally, governments should allocate resources and make fair and transparent decisions to help companies grow, not to better supervise them.

• International Area Studies Review
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• v.18 no.3
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• pp.23-46
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• 2014

Applying the dynamic shift-share analysis, this paper decomposes inflow of foreign direct investment (FDI) of Korea for the period of 2003-2012 into three components: world growth effect, industry-mix effect and competitive effect. Taking the group of developed countries as population for comparison, this paper finds that Korea has been lagging behind the group of developed countries in attracting FDIs, thereby having recorded negative aggregate industry-mix effects and negative aggregate competitive effects as well. However, the following industries have recorded positive competitive effects: textiles, chemicals, electrical and electronic equipment, motor vehicles and other transport equipment, hotels and restaurants and business services. Moreover, in the sub-period of 2008-2012, positive competitive effects have been recorded for most manufacturing industries. This reflects the fact that inward FDI into Korea has not been affected much by the financial crisis of 2009.

• Journal of Navigation and Port Research
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• v.48 no.1
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• pp.17-26
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• 2024

Port distripark can activate more functions. It is adjacent to a port. However, domestic port distripark is still limited to support port because of the shortage of infrastructure facilities, government policy, and investment. Therefore, this study tried to investigate the operation status of domestic port distripark and derive policy implications by conducting DEA analysis and productivity analysis based on internal data of each port distripark. As a result of Data Envelopment analysis, it was found that the west port distripark of Gwangwang and the northern port distripark of Incheon were efficient in the warehouse industry while the northern port distripark of Incheon and the Ulsan 1 port distripark were efficient in the manufacturing industry. In addition, in the case of foreign investment productivity, the west side port distripark of Gwangyang and the stage 1 port distripark of Pyeongtaek Dangjin were found to be higher than the others. In the case of facility investment productivity, the port distripark on the west side of Gwangyang and the north side of Incheon had the highest productivity. Lastly, in the case of labor productivity, the north side of Incheon and Busan ungdong port distripark showed the highest productivity. These results imply that it is important to review handling item when picking up enterprises in the port distripark for enhancing efficiency, foreign investment, and facility investment. The number of employees is not directly affecting the productivity improvement.

• Environmental and Resource Economics Review
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• v.22 no.3
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• pp.459-479
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• 2013

To assess the feasibility of 'low carbon, sustainable growth' policy pursued of the Chinese government, this paper first measures technical efficiency, $CO_2$ shadow prices, and indirect Morishima elasticity of substitution between capital and energy for 24 of manufacturing sectors in Beijing and Chongqing, in which China launched pilot carbon emissions trading scheme, by estimating the input distance function. Based on these results, then the potential for $CO_2$ reduction, cost savings from emissions trading, and the effectiveness of capital investment in reducing $CO_2$ are compared across industries and provinces. In 2010, manufacturing industries in Beijing and Chongqing could potentially reduce the largest $CO_2$ emissions, amounting 5.2 and 17 million tons, respectively, by achieving 100% technical efficiency. While, on average, Chongqing has a comparative advantage in the cost savings from carbon trading over Beijing, Beijing is more likely to reduce $CO_2$ by expanding capital investment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.340-347
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• 2016

Since the 1970s, manufacturing has been one of the key driving forces that has led to Korea's economic growth. However, this growth rate has been reduced significantly since the 2000s, and shows that revenues and employment are steadily decreasing. In addition, while manufacturing investment in Korea has dropped sharply, the United States, Germany, Japan, and other major countries have increased investment in manufacturing. These countries have promoted manufacturing innovation strategies that include the convergence of information and communications technologies (ICT) and manufacturing. For manufacturing innovation, it is important for time and cost savings required for product development to be achieved by changes in the production process, especially product design. Modeling and simulation (M&S) is a process that replaces physical product design, mockup making, and testing, with virtual product creation (modeling) and engineering analysis (simulation). In this paper, we analyze the economic ripple effect of supercomputing M&S using an input-output model technique based on the input-output tables published by the Bank of Korea. When we set the M&S budget (about US$16 million for the last 10 years) of the Korea Institute of Science and Technology Information (KISTI) as input coefficients, the effect on production inducement, value-added inducement, and employment inducement was analyzed to be US$24 million, US$13.4 million, and 267, respectively.