• 한국지능시스템학회논문지
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• 제20권1호
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• pp.123-128
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• 2010

어떤 한 프로젝트를 성공할 가능성을 높이기 위해서는 그 성과에 영향을 줄 수 있는 요소들에 대해 정의할 필요가 있다. 인지도는 관련있는 요소들의 인과관계를 조사함으로써 분석하는데 널리 사용되고 있다. 퍼지인지도는 인관관계의 연결강도를 통해 피드백의 개념을 추가한 인지도의 확장 개념을 가지고 있다. 프로젝트 성과는 입력 자원, 수행가능성, 타인의 관심 정도 등에 의해 영향을 받는다. 본 논문에서는 프로젝트의 성과와 이런 요소들간의 인과관계의 정도를 조사 분석하기 위해 퍼지인지도를 활용하여 기업프로젝트의 성공을 위한 모델을 개발하고자 한다.

• 무역학회지
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• 제44권1호
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• pp.45-56
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• 2019

The purpose of this study is to investigate the relationship between foreign investment and carbon emissions in the Korean electricity sector, the causal relationship between the foreign investment invested in the electric power sector in the 16 regional regions and the carbon emissions in the region, The purpose of this study is to analyze the effects of foreign investment on these sectors and the carbon footprint of these sectors using Panel Random Effect Analysis, Panel VAR and OLS models. A panel analysis of foreign investment and regional carbon emissions showed that there was a causal relationship. Based on this analysis, OLS analysis showed that 7 out of 16 metropolitan areas were foreign investment And carbon emissions were significant. In the remaining six regions except Gwangju, there was a causal relationship between foreign investment in the local power sector and the reduction of carbon emissions. After categorizing the electric power industry by device, process, purpose and number of employees, causality also appeared in relation to foreign investment in these sectors and their carbon emissions. Through this study, the authors suggest that foreign investment can be a way to solve not only the financial burden of carbon emission problem, but also the development of national economy and industry through the inflow of capital and advanced new technology.

• 산학경영연구
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• 제22권1호
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• pp.139-156
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• 2009

본 연구는 지역별로 차별적인 문화축제가 왕성하기 이루어지는 사회적 수요에 대응하여 문화 축제참가자의 만족과 재방문 관계를 규명하기 위하여 시도되었다. 본 연구는 기존의 연구설계와 차별적으로 측제참가자의 전반적인 만족도와 프로그램별 만족도를 측정하여 만족도 변수가 재방문 의사에 미치는 영향관계를 분석하였다. 연구결과, 모형 1은 각 프로그램별 만족도와 각 설명변수 중 축제 재방문 의사표명 결정인자를 도출하는 것이다. 분석결과 축제 재방문 의사결정인자로 작용하는 변수는 설명변수 중 프로그램 만족도, 방문횟수, 관람일수 등은 정의값을 보여 긍정적으로 작용하는 것으로 나타났다. 반면 소요시간은 거리마찰력의 작용으로 인하여 부의 값을 보여, 거리가 멀수록 축제 재방문 의사가 부정적으로 표출된다는 것을 보여 주었다. 모형 2는 종합적인 축제 만족도와 각 설명변수 중 축제 재방문 의사결정인자를 도출하는 모형이다. 분석결과 축제 재방문 의사결정인자로 작용하는 변수는 종합적인 축제 만족도, 출발지와 목적지간 소요시간, 방문횟수, 관람일수 등으로 나타났다. 모형 2는 모형 1과 동일하게 종합적인 축제 만족도, 방문횟수, 관람일수는 회귀계수값이 정의 값을 갖는 반면에 소요시간은 부의 값을 갖는 것으로 나타났다. 결론적으로 모형 1에 비하여 모형 2의 회귀계수값이 통계적으로 보다 유의한 것으로 보인다. 이러한 분석결과는 개별적인 프로그램 만족도를 바탕으로 만족도를 측정하는 방식과 더불어 종합적인 축제 만족도를 설명변수로 모형을 설정했을 경우, 종합적인 축제 만족도 측정이 보다 유용할 면이 있다는 것을 보여주고 있다. 그러나 축제관리가 축제의 본원적인 목적을 달성하기 위해서는 축제의 프로그램별 만족이 선행되어야만 한다는 점에 유의하여야 할 것이다.

• 산학경영연구
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• 제20권2호
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• pp.119-133
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• 2007

본 연구는 경영혁신의 한 기법으로 BSC를 비영리기업인 대학병원에 도입할 경우 영리기업에서와 같이 그 효과가 있는지를 검증하고자 한다. 대학병원 사례에 의한 BSC 성과측정지표간의 인과관계를 알아보기 위하여 구조방정식 모델을 이용하여 분석하였다. BSC 성과측정지표간의 인과관계를 분석한 결과 모두 통계적으로 유의한 것으로 나타나 연구가설이 모두 채택되었다. 향후에는 실제 재무자료를 학습 및 성장 관점, 내부프로세스 관점, 고객 관점과 연계하여 BSC 성과측정지표간의 인과관계를 연구할 필요가 있다.

• International Journal of Quality Innovation
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• 제6권2호
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• pp.147-166
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• 2005

The purpose of this study is to analyze the causal relationship, in the perspective of Total Quality Management, among the education quality factors, which were suggested in the previous researches. Lee et al. [16] had tried to analyze the relationship among education factors, but they did not estimate the education factor using latent variable concept, which is very reasonable and efficient to represent the constructed concepts. So this study attempts to analyze the causal relationship among education quality factors, represented as latent variables used in structural equation modeling (SEM), and compared with each other. In this study, education quality factors were measured by several measures, constructed as several latent variables, and then processed with AMOS, the most efficient statistical package in the SEM area. In order to analyze the causal relationship among the education quality factors constructed as latent variables, this study designed the structural equation model with suggested factors and established several research hypotheses. This study discovered a prominent causality among the education quality factors, such as education leadership, student scholastic performance and satisfaction of education quality, which is similar to that of previous research. This outcome is really a unique Korean syndrome manifest within our educational career orientation.

• 한국산업정보학회논문지
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• 제11권5호
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• pp.1-10
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• 2006

본 연구는 공급사슬관리(SCM) 활동측면에서 발생하는 경영성과를 BSC 의 네 가지 관점으로 측정하였다. 네 가지 관점으로는 재무관점, 고객관점, 내부 프로세스관점, 학습 및 성장관점이 있으며, 이들 네 가지 관점들은 서로간의 인과관계가 있다. 따라서 SCM 을 추진하고 있는 기업들을 대상으로 이들 네 관점들에 대한 인과관계가 있음을 실증분석을 통하여 살펴보고자 하였다. 이를 위하여 국내 SCM 을 추진 중인 134개 상장기업의 데이터를 사용하였으며 SPSS 12.0과 Amos 4.0을 이용하여 빈도분석, 요인분석, 신뢰성분석, 그리고 구조방정식 등을 수행하였다. 연구결과, 학습 및 성장성과, 내부 프로세스성과, 고객성과는 재무성과에 유의적인 영향을 주었으며, 학습 및 성장성과는 내부 프로세스성과와 고객성과에 긍정적인 영향을 미쳤다. 내부 프로세스성과의 경우에는 재무성과에 영향을 미쳤으나 고객성과에 유의하지 않은 것으로 나타났다. 이러한 결과는 내부 프로세스성과가 재무성과에 미치는 영향이 크기 때문인 것으로 판단된다.

• Communications for Statistical Applications and Methods
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• 제25권4호
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• pp.397-409
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• 2018

The world financial markets are inter-linked in ways that varies according to market and time. We examine the causality of change focusing on the Korean market as related to the U.S. (S&P 500), Japan (Nikkei 225), Hong-Kong (HSI), and European (DAX) markets. In order to capture time-varying causality running from and to the Korea stock market, we apply the Granger causality test under a VAR model with a wild bootstrap rolling-window approach. We also propose a new concept of a significant causality ratio to measure the intensity of the Granger causality in each time unit. There are many asymmetric strengths in mutual Granger causal relationships. Moreover, there are cases with significant Granger causal relations only in one direction. The period with the most severe Granger causality both running from and to the KOSPI market is the GFC. The market that formed the two-way Granger causal relationship with the KOSPI market for the longest period is the S&P 500. The HSI and DAX markets have the strongest two-way Granger causal relationship with the KOSPI shortly after 2000, and the Nikkei market had the strongest two-way Granger causal relationship with the KOSPI market before the Asian financial crisis.

• 한국조경학회지
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• 제23권1호
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• pp.39-50
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• 1995

This Study aims at identifying factor and variables which have significant effects on user satisfaction with recreational resources and facilities in Juwang National Park and there-by establishes indicies of planning and / or management of the park. To test the causal models of this research, the data was gathered by self-administered questionnaires from users in Juwang National Park. The analysis of the data was conducted in two phases. The first analysis dealt with exploratory gactor analysis which identified major factors involved in satisfaction with recreational facilities in Juwang National Park. The second analysis tested the fit of causal models of this research to the data using LISREL methodology. The factor analysis identified six significant factors in satisfaction with recreational resources, The six factors are convenient park facilities, natural landacape resources, linear park facilities, mineral springs and Buddhist temples, commercial and sleeping accommodations, rest areas and open space for passive recreational activity. The second phase analysis tested the fit of the causal model for satisfaction with recreation facilities to the data. The phase identified statistically significant causal links among overall satisfaction with the park, and other indigenous factors and exogenous variables. From these causal relationships, implications for future management of Juwang National Park were suggested.

• Journal of Sport and Applied Science
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• 제6권2호
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• pp.19-25
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• 2022

Purpose: This study attempts to investigate causal and intervening conditions for sport participation of Korean immigrants in the United States. Research design, data, and methodology: Grounded theory approach was used to develop a conceptual framework that presents the psychosocial processes that occur in immigrants' experience of sport participation. Participants were selected purposefully for information-rich cases. Korean immigrants with current experience of having periodically participated in sports were the criterion for sample selection. Based on selection criteria, 9 Korean immigrants took part in interview. The interview discussions were taped and transcribed verbatim into a Word file. The process for data analysis included four grounded theory approaches of purposive and theoretical sampling, an open and axial coding, memo writing, and finally the development of the conceptual framework. Results: Six concepts were revealed in the causal conditions that facilitate the process of immigrants' sport participation in the states: Personal experience, significant others, personality, physical environment, psychological well-being, and social connection. Three concepts were revealed as the intervening conditions that block the process of immigrants' sport participation in the states: Conflict with cultural change of organization, Pressure at workplace, and Economic constraints. Conclusions: Conceptual model presents causal and intervening factors. Further implications were discussed.

• 경영과학
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• 제17권2호
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• pp.39-54
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• 2000

This paper presents a causal forecasting model using guided genetic algorithm in continuous manufacturing process. The guide genetic algorithm(GGA) is an extended genetic algorithm(GA) using penalty function and population diversity index to increase forecasting accuracy. GGA adds to the canonical GA the concept of a penalty function to avoid selecting the unproductive chromosomes and to make a proper searching direction. Also, GGA modifies the current population using the similarity of chromosomes to avoid falling into the trap of local optimal solution. For investigation GGA performance, we used a set of real data that was collected in local glass melting processes, and experimental results show the proposed model results in the better forecasting accuracy than linear regression model and canonical GA.