• Journal of Global Scholars of Marketing Science
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• v.4
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• pp.173-196
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• 1999

현대의 급변하는 환경 하에서 다양한 고객의 욕구를 총족시켜야 하는 기업으로서는 기업성장에 관련된 전략을 끊임없이 수립하여야 한다. 특히 기존 시장 및 새로운 시장에 대해 지속적으로 소비자의 욕구 및 기업의 목적 등에 어느 정도 기여하는 가를 반드시 평가하여야 한다. 효과적인 시장의 선정은 기업의 목표를 달성하는 데 필요한 시장을 유지하게 할 뿐 아니라 기업의 가용자원을 사업과정에서 할당할 수 있게 해준다. 본 연구에서는 기업의 시장 평가와 선정을 위한 모형을 구축하였다. 기존 시장선정모형에서는 시장 성장률, 판매 수익, 현금 흐름 등과 같은 속성들의 단일 목표에 대한 최적해를 구하고자 하였다. 그러나 기업의 의사결정과정은 여러 상충하는 목적들을 동시에 고려하는 경우가 대부분이기 때문에 이러한 상황에 적합한 다목표 지향적인 수리모형 구축의 필요성이 제시되었다. 또한 제공되는 데이터의 불명확성과 여러 목적들을 동시에 고려할 경우 발생할 수 있는 의사결정자의 열망수준과 그 만족정도를 반영하기 위해 본 연구에서는 퍼지집합을 적용한 3 유형의 다목적계획모형을 제시하였다. 최소연산자 모형, 가중치 다목적계획 모형 및 선제우선순위 다목적계획모형의 구축 후, 설례를 통해 그 적용가능성을 알아보았다.

• Proceedings of the Korean System Dynamics Society
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• 2002.11a
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• pp.1-30
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• 2002

본 연구의 목적은 청주시의 주택문제에 대한 특별한 해결책을 논의한다기보다는 문제를 바라보는 새로운 프로세스를 형성하여 도시내부 문제해결을 위한 UD 모형을 적용하고 검증하는 것이다. 모든 도시는 성장과 쇠퇴의 주기가 있듯이 청주라는 공간도 현재의 물리적인 경계를 유지하면서 영원히 성장할 수 없으며, 성장의 한계에 이르게 되고, 시스템 내부의 피드백구조의 역동성에 의해 동태적인 균형상태를 지향하게 된다. UD 모형을 통해서 본다면 청주의 경우도 향후 50년간은 인구, 주택, 산업 모든 측면에서 성장을 이루게 될 것으로 보인다 2055년 이후에는 그 증가율이 정차 감소하여 균형상태를 유지하게 되다가 한 시점에 이르러서는 내부 stock 변수들의 인과관계에 의해 청주의 매력도는 주변지역으로 이전되게 될 것이다. 거시적으로 보았을 때 청주의 경우도 적정수준에서 이러한 추세를 따라가기 때문에 청주시의 UD 적용의 유용성은 입증되었다고 말할 수 있겠다. 더불어 민감도 분석에서 사용한 변수들의 조정에서 나왔듯이 주택과 관련된 정책을 펼칠 때, 시스템 내부적인 변수를 조정하는 정책을 펼쳐 나갈 때 청주라는 공간은 주택분야뿐 아니라 도시전체시스템의 동태적 균형상태를 유지해 나갈 수 있을 것으로 나타났다.

• Environmental and Resource Economics Review
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• v.12 no.2
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• pp.327-346
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• 2003

Unlike previous studies on the causal relationship between energy consumption and economic growth, this paper analyses the dynamic causal relationship between these variables using the dynamic vector using Johansen's multiple cointegration procedure, dynamic vector error-correction model and impulse response function. The empirical results show that while the energy consumption to a shock in income responds positively, the income responds positively to the shocks in energy consumption in the first place and then the responses become negative. We also find that the impact of energy consumption shock on the income is short-lived and causes higher inflationary pressure.

• The Journal of Society for e-Business Studies
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• v.25 no.3
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• pp.63-76
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• 2020

In the 21st century, informatization is playing a huge role in people's lives. Korea is experiencing the tremendous changes in social structure and lifestyle caused by informatization. This paper focuses on economic phenomena rather than discussion on social structure due to informatization. We check whether the Goodwin model, which can comprehensively express economic growth, economic cycle, and income distribution, is suitable for the Korean economy in the information age. This model is simulated by selecting a quantitative economic methodology that estimates coefficients from time series data of the Korean economy. The simulation results confirmed that the Goodwin model is suitable for analyzing functional income distribution in Korea.

• The Transactions of the Korea Information Processing Society
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• v.4 no.2
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• pp.395-400
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• 1997

An important quality characteristic of a software reliability.Software reliablilty growh models prvied the tools to evluate and moniter the reliabolty growth behavior of the sofwate during the testing phase Therefore failure data collected during the testing phase should be continmuosly analyzed on the basis of some selected software reliability growth models.For the cases where nonhomogeneous Poisson proxess models are the candiate models,we suggest Poisson regression model, which expresses the relationship between the expeted and actual failures counts in disjonint time intervals,for analyzing the failure count data.The weighted lest squares method is then used to-estimate the paramethers in the parameters in the model:The resulting estimators are equivalent to the maximum likelihood estimators. The method is illustrated by analyzing the failutr count data gathered from a large- scale switchong system.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.313-326
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• 2021

This study was to introduce ecological momentary assessment and show how to apply it to real-world research. As preliminary study for sustainable development, the result explained growth model using senior's longitudinal data and suitability of multi-level model in EMA data with regression analysis. The total variance of dependent variable was determined through a base model with only intercept and approximately 47% of total variance was caused by individual differences and 53% by time point differences. Second model was used to verified that each individual has a different effect on the senior vitality and effect on time was not significant. This is because it is the result of a preliminary stage where treatment is not involved and there is no significant change in process of collecting EMA data without external intervention. Third model that add gender as an independent variable showed significant change in both time and gender. Finally compared the PRD for each model and found models that without gender variables fit the data more effectively. This suggests that studies dealing with longitudinal data such as EMA data should adopt multi-level model that can measure individual characteristics, taking into account respondents' time and context.

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.755-762
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• 2013

In this paper we consider the NHPP software reliability model. And we deal with the maximum likelihood estimation and the Bayesian estimation with conjugate prior for parameter inference in the mean value function of Goel-Okumoto model (1979). The parameter estimates for the proposed model is presented by MLE and Bayes estimator in data set. We compare the predicted number of faults with the actual data set using the proposed mean value function.

• The KIPS Transactions:PartD
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• v.11D no.6
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• pp.1287-1294
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• 2004

Recently relationships between reliability measures and the coverage have been developed for evaluation of software reliability. Particularly the mean value function of the coverage-based software reliability growth model is important because of its key role in rep-resenting the software reliability growth. In this paper, we first review the problems of the existing mean value functions with respect to the assumptions on which they are based. Then a new mean value function is proposed. The new mean value function is developed for a general testing environment in which imperfect fault detection and repeated construct execution are allowed. Finally performance of the proposed model is empirically evaluated by applying it to a real data set.

• Environmental and Resource Economics Review
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• v.17 no.3
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• pp.61-89
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• 2008

In this study, by extending the model proposed by Fullerton and Kim(2006), we explored the tax interdependency effect to examine the relationship between environmental tax and economic growth. The theoretical model shows that environmental tax cannot always stimulate economic growth if other taxes such as labor or income tax are distorted by environmental taxes. However, environmental tax can boost economic growth if cutting distortionary taxes offset the distortion of taxes, or improvement of abatement knowledge can sufficiently reduce the cost of production. An empirical analysis using 14 OECD countries shows a positive relationship between the increase of implicit energy tax rate and the increase of implicit income tax rate. Meanwhile, empirical analysis does not provide enough evidence to claim that the increase of implicit energy tax decreases implicit labor tax. We can presume that environmental tax policy in Europe did not necessarily mitigate the burden of labor tax.

• Journal of Technology Innovation
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• v.18 no.2
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• pp.91-120
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• 2010

This paper examines the effect of bargaining power over intermediate goods prices on innovation and economic growth using a Schumpeterian growth model. The notion of "intermediate goods prices" broadly indicates the reward to innovators including innovative SMEs as well as intermediate goods producers that are vertically integrated to big businesses. From this viewpoint, this paper sets up a Schumpeterian growth model that incorporates the market power between final goods producers and intermediate goods producers. The results show that the reduction of intermediate goods prices slows down long-run growth rates as it erodes the reward to innovations. Lower intermediate goods prices decrease marginal productivity of capital and real interest rates. However, the harmful effect of lower profits on innovations outweighs the beneficial effect of lower interest rates. Simulations using Korea's data for various cases show that in all cases the policies that raise the share of intermediate goods producers are as powerful as the R&D subsidy policies in raising growth rates. Therefore, fair trade policies that enable intermediate goods producers-especially SMEs to obtain more fruits of innovations will be helpful for long-run economic growth.