• 벤처창업연구
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• 제1권1호
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• pp.105-125
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• 2006

This paper relates recent empirical research on the growth. Smaller and younger firms have been growing more quickly than larger and older firms, thus, generating proportionately more new jobs. It is not difficult to understand why small and medium firms receive so much attention. Because SMEs provide about 80 percent of private sector employment so SMEs performance is an important economic and social factor. Despite this, they are subject to higher risk and mobility than those at the large firms. This paper is analyzes the relationship between firm growth measured as growth in employment, sales and production and firms age, size and R&D investment. The growth and its relationship with the determinants is linked to industrial policy in Korea. Empirical results are based on an unbalanced panel data covering period 1999-2002. Results show significant relationship between growth, size and age of firm.

• 한국항해학회지
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• 제18권4호
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• pp.83-118
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• 1994

In this study, the writer embodies factors influencing on ship safety management by an empirical survey. In the empirical survey, the writer used a questionnaire. 1, 271 proper data was obtained from 4, 240 Korean seamen working in 152 domestic and 60 foreign merchant ships. Reliability was tested by Cronbach's Alpha and a conceptual validity by Factor Analysis. Hypotheses established in this study were tested by Correlation and Multiple Regression Analysis. Results of analysis are as follows: Firstly, three levels(i.e. planning, doing, and evaluation) of safety management and satisfaction level of shipboard life correlate significantly with level of ship safety management and between them(P<0.05) Secondly, satisfaction level of shipboard life, evaluation and planning levels of safety management influence significantly on level of ship safety management(P<0.05).

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1278-1280
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• 2003

Striping is a main factor for imaging spectroradiometer data, which is obtained by multi-sensor scanning on spacecraft. The reason causing stripes and the development of striping removal methods are simply described in this paper, particularly, the principle of Matching Empirical Distribution Functions is introduced in detail. By using this method, some experiments are done to destripe imaging spectrometer data of SZ-3. The result shows that the method of Matching Empirical Distribution Functions is available for destirping Imaging spectroradiometer data of SZ-3, and the quality of image is improved obviously. This will help to process the future similar instruments data.

• 국제지역연구
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• 제15권2호
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• pp.77-100
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• 2011

1997년 말에 시작된 외환위기 이후 약 10여 년간에 걸쳐서 생산요소가격이 지속적으로 하락하였다. 생산요소시장에서 요소가격의 전반적인 하락현상은 기업의 수익구조와 기업의 가격설정행위에 지대한 영향을 미친 것으로 추론할 수 있다. 본 논문은 요소가격의 변화로 인해 기업의 이윤율과 시장의 구조를 반영하는 마크업의 크기와 마크업의 경기역행성에 어떠한 변화가 일어났는가를 실증적으로 분석하였다. 이를 위해 해외중간재를 포함하고 규모보수불변과 AR(1) 기술진보를 전제하는 생산함수에 근거하여 소규모 개방경제에서의 마크업방정식을 설정하였다. 분석결과에 의하면 외환위기 이후의 생산요소가격의 하락은 한계비용의 하락을 초래하였고 이에 따라 제조업의 마크업 상승을 가져왔으며 특히 제조업가운데서 내구재보다는 비내구재의 마크업의 상승에 영향을 주었다고 할 수 있다. 또한 HP-filtered GDP와 마크업방정식의 구성요소와의 회귀분석결과는 마크업은 경기역행적으로 실질임금과 노동분배율은 경기순행적임을 입증하였으며 이자율과 해외중간재 수입물가지수는 경기역행적으로 그리고 나머지 요소분배율 모두 경기순행성을 밝히고 있다. 결론적으로 생산요소시장에서의 가격변화가 제조업의 마크업변동의 경직성에 기여해왔다고 할 수 있다.

• Nuclear Engineering and Technology
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• 제45권2호
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• pp.151-164
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• 2013

A key input for the assessment of Human Error Probabilities (HEPs) with Human Reliability Analysis (HRA) methods is the evaluation of the factors influencing the human performance (often referred to as Performance Shaping Factors, PSFs). In general, the definition of these factors and the supporting guidance are such that their evaluation involves significant subjectivity. This affects the repeatability of HRA results as well as the collection of HRA data for model construction and verification. In this context, the present paper considers the TAsk COMplexity (TACOM) measure, developed by one of the authors to quantify the complexity of procedure-guided tasks (by the operating crew of nuclear power plants in emergency situations), and evaluates its use to represent (objectively and quantitatively) task complexity issues relevant to HRA methods. In particular, TACOM scores are calculated for five Human Failure Events (HFEs) for which empirical evidence on the HEPs (albeit with large uncertainty) and influencing factors are available - from the International HRA Empirical Study. The empirical evaluation has shown promising results. The TACOM score increases as the empirical HEP of the selected HFEs increases. Except for one case, TACOM scores are well distinguished if related to different difficulty categories (e.g., "easy" vs. "somewhat difficult"), while values corresponding to tasks within the same category are very close. Despite some important limitations related to the small number of HFEs investigated and the large uncertainty in their HEPs, this paper presents one of few attempts to empirically study the effect of a performance shaping factor on the human error probability. This type of study is important to enhance the empirical basis of HRA methods, to make sure that 1) the definitions of the PSFs cover the influences important for HRA (i.e., influencing the error probability), and 2) the quantitative relationships among PSFs and error probability are adequately represented.

• 한국항공우주학회지
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• 제49권2호
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• pp.85-93
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• 2021

본 논문에서는 반경험적 해석도구를 이용하여 일반적인 형상의 꼬리날개 조종 유도무기의 공력 특성을 예측하고 그 결과를 보정하는 연구를 수행하였다. 반경험적 해석도구의 공력 특성 예측 결과를 풍동시험 결과와 비교하여 오차 원인을 확인하였으며, 반경험적 해석도구의 주요 오차 요인은 주날개-꼬리날개 간 간섭 성분임을 확인하였다. 반경험적 해석 결과를 풍동시험 결과와 전산해석 결과를 이용하여 보정하였으며, 보정된 데이터가 풍동시험 결과와 잘 일치함을 확인하였다. 본 연구를 통해 일반적인 꼬리날개 조종 유도무기의 공력 특성을 반경험적 해석도구를 이용하여 예측할 때 날개 간 간섭 성분 보정이 필요함을 확인하였다.

• 한국농공학회논문집
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• 제58권6호
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• pp.55-69
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• 2016

RUSLE (Revised Universal Soil Loss Equation) is the empirical formular widely used to estimate rates of soil erosion caused by rainfall and associated overland flow. Among the factors considered in RUSLE, rainfall erosivity factor (R factor) is the major one derived by rainfall intensity and characteristics of rainfall event. There has been developed various methods to estimate R factor, such as energy based methods considering physical schemes of soil erosion and simple methods using the empirical relationship between soil erosion and annual total rainfall. This study is aimed to quantitatively evaluate the variation among the R factors estimated using different methods for South Korea. Station based observation (minutely rainfall data) were collected for 72 stations to investigate the characteristics of rainfall events over the country and similarity and differentness of R factors calculated by each method were compared in various ways. As results use of simple methods generally provided greater R factors comparing to those for energy based methods by 76 % on average and also overestimated the range of factors using different equations. The variation coefficient of annual R factors was calculated as 0.27 on average and the results significantly varied by the stations. Additionally the study demonstrated the rank of methods that would provide exclusive results comparing to others for each station. As it is difficult to find universal way to estimate R factors for specific regions, the efforts to validate and integrate various methods are required to improve the applicability and accuracy of soil erosion estimation.

• 디지털산업정보학회논문지
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• 제10권4호
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• pp.211-224
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• 2014

This study is aimed at considering the relationship between the influential factor in Smartphone purchase and consumer awareness. For this purpose, this study set up the influential factors in Smartphone purchase as advertising effect, brand effect and usability effect and corporate image effect, and considered the relationship between these influential factors and consumer awareness empirically. The research results can be summarized as following 3 parts: First, the four factors suggested as the influential factor in Smartphone purchase were verified to have a significant influence on customer satisfaction and customer loyalty, and thus, it is thought that the bigger the influence of these factors, the more customer satisfaction and customer loyalty will increase. Second, among the factors suggested as influential factors in Smartphone purchase, the biggest factor in influencing customer satisfaction was found to be 'Usability Effect' while the biggest factor in influencing customer loyalty was revealed to be 'Brand Effect.' As a result, this study could learn that it's necessary that 'Usability Effect' should be considered more preferentially than other factors in order to enhance customer satisfaction while 'Brand Effect' should be preferentially considered in orderto raise customer loyalty. Third, it can be judged that in the relationship between customer satisfaction and customer loyalty, the bigger the customer satisfaction, the higher the customer loyalty. It is hoped that such research results could be applied as useful materials in time of establishing the marketing strategy. Nevertheless, this paper makes it clear that due to the constraints in the number of sample areas and samples, there is a limit in objectifying the research results into all areas.

• 통상정보연구
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• 제11권3호
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• pp.311-335
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• 2009

This study investigates the factors barrier the performance of Korean manufacturing firms in China. Also an empirical data use the field survey of Korean manufacturing firms in China. as a result, First, we find that employment-cost factor, that is rising labor costs, a change of occupation is an effect the performance of Korean manufacturing firms in China. Second, business beginning year and by 7 region factor is very significant on the performance of Korean FDI firms in china. And then, Korean corporate investment in China is a desirable form of long-term investment shall be determined. also we know that regions of China, differentiated investment approach is effective. finally, The result shows that FDI to China is need of the long term plan, and In actual use, these FDI should be applied flexibly in china business environment.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.140-151
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• 2005

This paper discusses an empirical study on extracting requirements for ubiquitous computing technology-based information system (ubi-IS) using factor analysis. After preliminary review of related literature, features specific to ubiquitous computing technology have been retrieved, selected in terms of main elements of information system (IS) (network, device, user interface, and operating system), and further used as variables during conducting factor analysis. Quantitative data was collected through questionnaire approach. The results of factor analysis manifested 5 factors containing 15 variables, and eventually, based upon the extracted factors the requirements for ubi-IS were identified.