• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.523-536
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• 2011

This study is to empirically investigate structural relations and the degree of effects among environmental strategy, environmental management system, environmental activities, and firm performance by using structural equation modelling. In particular, we focus on examining how the structure and the effect vary according to the type of environmental strategies. In this study, environmental strategies are classified as "passive type" and "active type" by the cluster analysis, which are used for developing two different research models. For firms employing active environmental strategy, the environmental strategy has a positive effect on all of environmental management system, environmental activities, and firm performance. For firms employing passive environmental strategy, the environmental strategy has a positive effect on both of environmental management system and environmental activities, while it does not have a statistically significant effect on firm performance. The study empirically supports that the active environmental management will result in a positive firm performance.

• The Korean Journal of Applied Statistics
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• v.1 no.1
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• pp.39-44
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• 1987

For obtaining the m.l.e. of $\Sigma$ from p-variate Non-singular Normal parent, $N_p(\mu, \Sigma)$, Andersous' Procedure based on the invariance property of the m.l.e. seems to be generally Preferred in the view of its simplicity. This paper shows that his approach with respect to $\Sigma^{-1}$ rather than $\Sigma$ itself, he burther applicable to deriving the m.l.e. of parametersinvolved in the common factor model an dsimplex model as well.

• The Korean Journal of Applied Statistics
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• v.35 no.6
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• pp.703-724
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• 2022

Although longitudinal studies mainly produce multivariate longitudinal data, most of existing statistical models analyze univariate longitudinal data and there is a limitation to explain complex correlations properly. Therefore, this paper describes various methods of modeling the covariance matrix to explain the complex correlations. Among them, modified Cholesky decomposition, modified Cholesky block decomposition, and hypersphere decomposition are reviewed. In this paper, we review these methods and analyze Korean children and youth panel (KCYP) data are analyzed using the Bayesian method. The KCYP data are multivariate longitudinal data that have response variables: School adaptation, academic achievement, and dependence on mobile phones. Assuming that the correlation structure and the innovation standard deviation structure are different, several models are compared. For the most suitable model, all explanatory variables are significant for school adaptation, and academic achievement and only household income appears as insignificant variables when cell phone dependence is a response variable.

• Journal of the Korea Society of Computer and Information
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• v.19 no.5
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• pp.99-107
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• 2014

In the past decade, Pine & Gilmore set out the vision for a new economic era, the experience economy, in which consumers are in search for extraordinary and memorable experiences. The purpose of this study is to investigate the relationships among walking tourist's experiences, walking tourist satisfaction and revisit intention as the social interest on walking tour has risen. A total of 250 respondents completed a survey. Using structural equation modeling (SEM) technique, the results reveal the effects of Esthetics(indulged in environments) and Escapism(diverging to a new self) that impact on walking tourist satisfaction and on revisit intention indirectly. Overall, finding of this study enhance the theoretical progress on the experiential concept in walking tour and offer important implication for walking tour marketers.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.485-500
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• 2019

In this study, we examined the effect of shared leadership on organizational trust, knowledge sharing, and innovative behavior. Also, it was verified that organizational trust and knowledge sharing play a mediating role in the relationship between shared leadership and innovative behavior. Data were collected from a survey of 348 manufacturing workers in Ulsan and Gyeongju. SPSS 22 was used for frequency analysis and exploratory factor analysis. AMOS 22 was used for confirmatory factor analysis to verify the validity of the variables and for covariance structure analysis to verify the research hypothesis. The results of this study are as follows. First, shared leadership has a significant positive effect on organizational trust, knowledge sharing, innovative behavior. Second, organizational trust has a significant positive effect on knowledge sharing and innovative behavior. Third, knowledge sharing has a significant positive effect on innovative behavior. Finally, organizational trust and knowledge sharing play a partial mediating role in the relationship between shared leadership and innovative behavior. The result of this study suggests that organizational trust and knowledge sharing should be strengthened through shared leadership in order to increase the innovative behavior of organization members.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.7126-7137
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• 2015

This study explored the quality of nursing services in relation to a nurse's psychosocial factors (type A behavior pattern, self-esteem, locus of control, and anxiety), job stress, and fatigue. This study targeted 503 nurses who currently work at six different general hospitals in Daejeon city, The data was collected by self-administered questionnaire which was surveyed from April 1 to June 30, 2014. As the result of analysis of covariance, psychosocial factors affect the quality of nursing services more than job stress or fatigue. In addition to that, as parts of psychosocial factors, high self-esteem and low fatigue, job stress, and anxiety increase the quality of nursing services. The research above implies that the quality of nursing services of nurses who work at the general hospital has a correlation with not only the psychosocial factors but also job stress, and fatigue.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.71-78
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• 2019

This study attempted to identify convergent influence on depression and its association with job seeking stress, academic burnout and anxiety among college students. Data collection was carried out using a self-administered questionnaire from Nov. 12, 2018 to Dec. 14, 2018 and the target was randomly selected 304 students from colleges located in J area. Depression was positively correlated with job seeking stress, academic burnout and anxiety. The covariance structure analysis showed that the job seeking stress, the higher academic burnout and the higher anxiety tend to increase depression. These results show that to lower college students' depression, it is necessary to try to lower job seeking stress, academic burnout, and anxiety. These results are expected to be utilized for employment counseling, academic counseling, and expansion of resources for psychological stability and various interventions that lower the depression of college students. In future studies, the survey about additional factors of influence on the depression of college students will be needed.

• Proceedings of the Korean Association for Survey Research Conference
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• 2007.11a
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• pp.55-65
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• 2007

In this research, it will be examined on mathematical model of AMOS software program that ues for Covariance Structure Analysis. if we have not understood to mathematical model of Covariance Structure, we fail to understand Structural equation modeling. Similarly If We were not understand to mathematical model of AMOS Software, we do not use Software adequately. Therefore we examine two sorts of Software that be designed for Structural equation modeling or Covariance Structure Analysis. In this research, We will focus on 8 assumption of Structural equation modeling and compare AMOS(Analysis of MOment Structure) program with LISREL(Linear Structure RELation) program. We found that A Program of AMOS Software have materialized with RAM(Reticular Action Model).

• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.135-142
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• 2002

본 연구에서는 2개의 사례지구에 대한 설문조사를 통해 서비스평가 구조모형을 개발하였다. 모형의 가설로서 요인분석과 신뢰성 분석 등을 통해 구성된 '질적서비스에 대한 인식', '이동성에 대한 인식 '환승에 대한 인식', '경제성에 대한 인식'이란 인지서비스(Perceived service)를 나타내는 4개의 잠재변수는 '개인속성'과 '교통특성'이란 잠재변수의 영향을 받으며, 상호 구조적인 관계를 가지고 전반적인 만족도로 대표되는 '서비스평가'에 영향을 미친다고 가정한다. 모형추정결과, 기초적합지수(GFI)가 상인·월성 0.864, 지산·범물 0.807로 나타났고, 조정 적합지수 (AGFI)는 상인·월성 0.823. 지산·범물 0.759로 나타나 적합성은 대체로 양호하다고 할 수 있다. 또한 두 지역 모두에 있어서 잠재변수 간이나 잠재변수와 관측변수간의 인과계수의 유의성도 2, 3개의 인과계수를 제외하면 모두 5% 유의수준에서 유의한 것으로 나타나 전체적으로 모형이 타당하다고 판단된다. 상인·월성의 경우, 운전기사에 대한 인식치가 '서비스평가'에 미치는 영향력이 가장 크며, 요금수준과 더불어 직접적으로 '서비스평가'에 영향을 미치고 있다 기타 편리성, 쾌적성, 시설 및 운영성이 중요한 원인으로 작용하고 있다는 것을 시사하고 있다. 지산·범물의 경우, 쾌적성, 시설 및 운영성, 편리성이 '서비스평가'에 직접적으로 큰 영향력을 미치고 있다. 특히 이러한 '질적서비스에 대한 인식'은 버스의 현행 요금수준과 대기시간에, 그리고 유의성이 높다고 할 수 없지만 이용자의 연령과 버스이용빈도에 영향을 받고 있는 것으로 나타났다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.33 no.12
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• pp.18-25
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• 2005

This paper presents a supercompact multi-wavelet scheme and its application to fluid simulation data. The supercompact wavelet method is an appropriate wavelet for fluid simulation data in the sense that it can provide compact support and avoid unnecessary interaction with remotely located data (e.g. across a shock discontinuity or vortices). thresholding for data compression is applied based on a covariance vector structure of multi-wavelets. The extension of this scheme to three dimensions is analyzed. The numerical tests demonstrate that it can allow various analytic advantages as well as large data compression ratios in actual practice.