• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2004년도 추계학술대회 및 정기총회
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• pp.463-466
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• 2004

This paper suggests the evaluation method of success factors of CRM implementation using AHP technique, and presents why firms implement CRM, how it could be successfully implemented, and what is the most important factor. For the purpose, this study applies the method to department stores' industry. AHP structure consists of three steps to determine CRM's key success factors. First of all, strengthening loyalty of customers, improvement of service quality, upgrade of intelligence system and advancement of management process are selected as superordinate object (i.e. CRM-implementation goal). The next project factor, technology/data factor and organizational factor were decided as success factor of CRM-implementation. Subordinate criteria of project factor consist of 11 criteria. The experimental results of this study show that department stores think advancement of management process and improvement of service quality as most important purposes for CRM implementation. The results also indicate that among the subordinate success factors, accuracy of customer information, conversion to customer-oriented business model, practical use of experienced consultant, and establishing IT infrastructure for CRM are evaluated as most important success factors for CRM implementation.

• 산업기술연구
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• 제25권A호
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• pp.39-47
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• 2005

Air void systems in hardened concrete has an important influence on concrete durability such as freeze-thaw resistance, water permeability, surface scaling resistance. Linear traverse method and point count method described at ASTM are the routine analysis of the air void system that have been widely used to estimate the spacing factor in hardened concrete. Recently, many concretes often have a spacing factor higher than the generally accepted $200-250{\mu}m$ limit for the usual range of air contents. This study is proposed to estimate the plane spacing factor by calculation of simplicity. The plane spacing factor need two parameters that are air content and numbers of air voids in the hardened concrete. Those obtained from the standard air-void system analysis of the ASTM C 457. The equation is valid for all values of paste-to-air ratio because the estimation of paste content is unnecessary at the using ASTM C 457. The plane spacing factor yields a similar estimate of the standard spacing factor.

• 대한기계학회논문집
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• 제13권4호
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• pp.563-571
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• 1989

본 연구에서는 이들 무시된 영향을 고려하여 하중작용점에서의 하중분포계수 를 구하여, 이 하중분포계수에 의해 위치에 따라 실제와 가까운 하중을 가하므로서 보다 엄밀한 판의 해석을 할 수 있도록 제시하였다.

• The Journal of Asian Finance, Economics and Business
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• 제6권2호
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• pp.63-73
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• 2019

The paper aims to investigate relationships between technology and innovation management, total factor productivity and economic growth in China. By comparing the trends in total factor productivity growth of industrialized economies (i.e. OECD), this study intends to showcase the importance of total factor productivity progress in the Chinese economy. The study employs time series data of an annual basis for the period from 1977 to 2016 retrieved from the World Development Indicator. The study employs unit root test, cointegration test, fully modified least squares estimation method, canonical cointegrating regression and dynamic least squares estimation method to test the hypotheses. The results of the cointegrating regression analysis show that manufacturing growth leads to an increase of total factor productivity in the short-run in China. The findings of the study suggest that manufacturing (i.e. technology and product innovation) is positively related to the increase of total factor productivity in the short-run and total output growth in the long-run. The findings suggest that promoting technology and innovation management and supporting R&D subsidies may reduce the marginal cost of conducting R&D and increase the rate of technology and innovation management and R&D activity and therefore, the total factor productivity growth rate.

• 한국수산과학회지
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• 제15권4호
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• pp.263-270
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• 1982

해중의 영양학적인 기초자료를 얻기 위하여 multi-enzyme system을 이용한 체외소화율과 아미노산분석을 기초로 한 단백질수를 측정하였다. 김 (P. tenera)의 체외소화율은 $78.5\sim82.2$로서 산지와 건조조건에 따라 약간의 차이를 보였으며, 잎파래(E. linza)나 다른 갈조류 (미역 U. pinnatifida, 톳 H. fusiforme, 모자반 S. fuuellum)에 비하여 높았고 효소활성 저해물질 (trypsin inhibitor)의 함량은 갈조류에서 높았다. 잎과래는 채외소화율이 김보다 낮음에도 불구하고 효소활성저해물질이 가장 낮은 특이한 결과론 보였다. 전체적으로 해조류의 체의소화을이 다른 연구자들의 생체실험에 의한 소화율 (in vivo digestility)보다 높은 결과를 보인 것은multi-enzyme system을 이용한 체외소화율 측정 방법을 해조류의 정확한 소화율 측정에 적용하기에는 문제성이 있는 것으로 밝혀졌다. 일륜 김에 대한 microwave cooking의 영향은 가열시간이 15분 경과하여도 현저한 소화율 증가는 볼 수 없었으며, 효소활성 저해물질함량은 서서히 감소하는 경향을 보였다. 또한 한국식으로 구운김의 체외소화율은 microwave로 15분 가열한 시료와 비슷하였다. 아미노산 분석 결과를 이용한 단백계수(Factor method)는 김의 경우 6.52로 계산되었고, 잎파래는 6.00, 미역 6.11, 모자반 5.85, 톳은 5.83이었으며, Kjeldahl전소분석결과를 이용한 단백계수(Kjeldahl Method)는 김 6.29, 잎파래 5.83, 미역 5.40, 모자반 5.45, 톳 5.49로 나타나, 종래의 조단백계수(6.25)보다 낮은 결과를 보였다. 해조추의 비단백태질소의 정확한 규명이 없는 상태에서, 해조의 단백질함량 측정에는 아미노산 분석결과를 이용한 새로운 단백계수(Factor Method)를 사용함이 바람직한 것으로 생각되었다.

• 한국정밀공학회지
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• 제17권4호
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• pp.197-202
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• 2000

A simple numerical procedure is presented to determine the stress intensity factors for crack in a stiffened panel subjected to a uniaxial uniform stress normal to the crack. Two types of stiffened panels are analyzed by the finite element method for various values of crack lengths, stiffness ratios, and stiffener spacings. From the finite element solution, the stress intensity factors were determined by using hybrid extrapolation method. Results are presented in graphical forms for upper mentioned parameters.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1995년도 추계학술대회 논문집
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• pp.135-138
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• 1995

This paper presents a method to calculate the escape frequency factor and its verification from TSC(Thermally Stimulated Current) equation and cures. To apply calculation method of ν using asymptotic estimation, it utilized two sets of TSC data with 1K interval. This method enables one to get the exact value of ν and activation energy at the same time by using computer programming. So, it regards their calculation method as a useful process to obtain the value of physical behavior.

• 한국운동역학회지
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• 제26권3호
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• pp.265-272
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• 2016

Objective: The aim of this study was to analyze X-factor, triple X-factor, and the center of pressure (COP) according to the feel of golf driver swing. Method: For this research, 9 golfers from the Korea Professional Golfers' Association (age: $30.11{\pm}2.98yrs$, height: $178.00{\pm}8.42cm$, weight: $76.22{\pm}8.42kg$, experience: $10.06{\pm}3.11yrs$) were recruited to participate in the experiment. Twelve Motion Analysis Eagle-4 cameras were installed and an image analysis was conducted by using the NLT (non-linear transformation) method, and 2 units of Kistler type 5233A dynamometer were used to measure ground reaction force. The sampling ratio was set at 1000 Hz. The golfers each took 10 swings by using their own driver, and chose the best and worse feel from among 10 shots. A paired-sample t-test was used to analyze the results. Results: In regard to feel, no change in head speed, X-factor, and the triple X-factor's X-factor stretch, hip rise, and head swivel, was observed (p>.05). Regarding ground reaction force, a difference was observed between the top of the backswing (p<.05) and impact (p<.05) in the vertical force of the left foot. For COP, a difference was also observed between the mid backswing (p<.001), late backswing (p<.001), and top of the backswing (p<.05) for the right foot X-axis and Y-axis mid follow through (p<.01). Conclusion: It can be reasoned that, irrespective of feel, the head speed, X-factor and triple X-factor's X-factor stretch, hip rise and head swivel did not have an effect on drive distance for domestic golfers, and the vertical reaction force of the left foot and left-right movement span's pressure dispersal of the right foot had an increasing effect on drive distance.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2011년도 춘계학술대회 논문집
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• pp.1299-1300
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• 2011

• 유통과학연구
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• 제13권9호
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• pp.103-112
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• 2015

Purpose - This paper aims to provide a step-by-step approach to factor analytic procedures, such as principal component analysis (PCA) and exploratory factor analysis (EFA), and to offer a guideline for factor analysis. Authors have argued that the results of PCA and EFA are substantially similar. Additionally, they assert that PCA is a more appropriate technique for factor analysis because PCA produces easily interpreted results that are likely to be the basis of better decisions. For these reasons, many researchers have used PCA as a technique instead of EFA. However, these techniques are clearly different. PCA should be used for data reduction. On the other hand, EFA has been tailored to identify any underlying factor structure, a set of measured variables that cause the manifest variables to covary. Thus, it is needed for a guideline and for procedures to use in factor analysis. To date, however, these two techniques have been indiscriminately misused. Research design, data, and methodology - This research conducted a literature review. For this, we summarized the meaningful and consistent arguments and drew up guidelines and suggested procedures for rigorous EFA. Results - PCA can be used instead of common factor analysis when all measured variables have high communality. However, common factor analysis is recommended for EFA. First, researchers should evaluate the sample size and check for sampling adequacy before conducting factor analysis. If these conditions are not satisfied, then the next steps cannot be followed. Sample size must be at least 100 with communality above 0.5 and a minimum subject to item ratio of at least 5:1, with a minimum of five items in EFA. Next, Bartlett's sphericity test and the Kaiser-Mayer-Olkin (KMO) measure should be assessed for sampling adequacy. The chi-square value for Bartlett's test should be significant. In addition, a KMO of more than 0.8 is recommended. The next step is to conduct a factor analysis. The analysis is composed of three stages. The first stage determines a rotation technique. Generally, ML or PAF will suggest to researchers the best results. Selection of one of the two techniques heavily hinges on data normality. ML requires normally distributed data; on the other hand, PAF does not. The second step is associated with determining the number of factors to retain in the EFA. The best way to determine the number of factors to retain is to apply three methods including eigenvalues greater than 1.0, the scree plot test, and the variance extracted. The last step is to select one of two rotation methods: orthogonal or oblique. If the research suggests some variables that are correlated to each other, then the oblique method should be selected for factor rotation because the method assumes all factors are correlated in the research. If not, the orthogonal method is possible for factor rotation. Conclusions - Recommendations are offered for the best factor analytic practice for empirical research.