• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.341-348
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• 2021

The aim of this study is to fill gaps in emerging empirical evidence and negative electronic word of mouth (NeWOM) in repurchase intention (RI) moderated by the roles of social network sites (SNS) and company mitigation response (CMR). This type of research is descriptive. The sample used in this study is online consumers who buy energy drinks, based on the questionnaire obtained by 145 respondents. Based on the results of testing the estimation of the structural equation model, it was found that the negative variable brand experience sharing had no significant effect on NeWOM; the negative variable electronic reviews had a significant effect on the electronic word of mouth variable, the negative variable electronic reviews had a significant effect on the negative electronic variable word of mouth, the variable intensity of the use of social networking sites can strengthen the direction of the causal influence between the negative variables sharing brand experiences on negative electronic words of mouth. The variable social networking sites usage intensity can strengthen the direction of the effect of causality between negative electronic review variables on negative electronic word of mouth, the negative brand experience sharing variable does not have a significant effect on the repurchase intention variable.

• Annals of Clinical Neurophysiology
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• v.23 no.2
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• pp.69-81
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• 2021

Cortico-cortical evoked potential (CCEP) mapping is a rapidly developing method for visualizing the brain network and estimating cortical excitability. The CCEP comprises the early N1 component the occurs at 10-30 ms poststimulation, indicating anatomic connectivity, and the late N2 component that appears at < 200 ms poststimulation, suggesting long-lasting effective connectivity. A later component at 200-1,000 ms poststimulation can also appear as a delayed response in some studied areas. Such delayed responses occur in areas with changed excitability, such as an epileptogenic zone. CCEP mapping has been used to examine the brain connections causally in functional systems such as the language, auditory, and visual systems as well as in anatomic regions including the frontoparietal neocortices and hippocampal limbic areas. Task-based CCEPs can be used to measure behavior. In addition to evaluations of the brain connectome, single-pulse electrical stimulation (SPES) can reflect cortical excitability, and so it could be used to predict a seizure onset zone. CCEP brain mapping and SPES investigations could be applied both extraoperatively and intraoperatively. These underused electrophysiologic tools in basic and clinical neuroscience might be powerful methods for providing insight into measures of brain connectivity and dynamics. Analyses of CCEPs might enable us to identify causal relationships between brain areas during cortical processing, and to develop a new paradigm of effective therapeutic neuromodulation in the future.

• IMMUNE NETWORK
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• v.21 no.6
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• pp.45.1-45.13
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• 2021

Many mouse models of rheumatoid arthritis have been identified, but only a limited number are present for axial spondyloarthritis (AxSpA). Collagen Ab-induced arthritis (CAIA) is one of the most widely used mouse models of arthritis, and it is complement-dependent. We found that mice developing CAIA also developed spinal lesions similar to those found in AxSpA. To induce CAIA, mice were injected intraperitoneally at day 0 with anti-collagen Abs, followed by LPS injection at day 3. CAIA mice demonstrated a significant kyphosis through the spine, as well as hypertrophic cartilage and osseous damage of the intravertebral joints. Immunohistochemical staining of the kyphotic area revealed increased complement C3 deposition and macrophage infiltration, with localization to the intravertebral joint margins. Near Infrared (NIR) in vivo imaging showed that anti-collagen Abs conjugated with IRDye^® 800CW not only localized to cartilage surface in the joints but also to the spine in arthritic mice. We report here a novel preclinical mouse model in which, associated with the induction of CAIA, mice also exhibited salient features of AxSpA; this new experimental model of AxSpA may allow investigators to shed light on the local causal mechanisms of AxSpA bone and soft tissue changes as well as treatment.

• Management & Information Systems Review
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• v.36 no.1
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• pp.1-19
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• 2017

One of the methods of securing the reliability of accounting information is maintaining high audit quality. The first step of improving audit quality is lowering audit engagement risks. Thus, this study analyzed the relationship between the characteristics of accounting firms and audit engagement risks based on the Bayesian Network. For this, Markov Blanket, the minimum explanatory variable set, which affects audit engagement risks, was presented, and based on the drawn causal relationship, sensitivity analysis was conducted to verify the characteristics of accounting firms, which affect audit engagement risks. The existing preceding research that used multiple regression analysis presumes the linearity between explanatory variables and dependent variables, so there was a limit in drawing the relationship between explanatory variables. Therefore, this study figured out the interdependence between variables using the General Bayesian Network and examined the impact that each variable has finally on audit engagement risks that affects the audit quality. The results of this study would greatly contribute to improving the efficiency of the supervisory task by allowing a supervisory institution to identify an accounting firms that does not manage audit engagement risks properly and to improve the supervision of the accounting firms in advance. In addition, this study will be used as a reference when a supervisory institution would improve the system related to audit quality by presenting the characteristics of accounting firms related to the audit quality.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.198-212
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• 2013

The objectives of the study are: 1) to explore the affecting factors on job search intention among expectant graduates from university and 2) to analyze their causal relationships. For the objectives, the Structural Equation Modeling was run using: AMOS 18.0 program. The analysis included total of 231 senior students from three national universities located in non-central regions. The main results are follows as: first, job search network showed a significant and positive indirect effect on job search intention implying the mediating roles of job search attitudes and job search efficacy. Second, job search attitudes and job search efficacy had positive and significant effects on job search intention. Third, job search constraints had a negative effect on job search attitudes, and job search network and job search constraints were positively associated with job search efficacy. Fourth, higher job search network and higher job search efficacy increased the levels of job search clarity, respectively. These results implied that the improvement of job search efficacy, positive attitudes toward job search and the security of social network for job are meed for expectant graduates from university.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.79-86
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• 2021

In order to increase the probability of success in big data projects, quantified techniques are required to analyze the root cause of risks from complex causes and establish optimal countermeasures. To this end, this study measures risk factors and relationships through SNA analysis and presents a way to respond to risks based on them. In other words, it derives a dependency network matrix by utilizing the results of correlation analysis between risk groups in the big data projects presented in the preliminary study and performs SNA analysis. In order to derive the dependency network matrix, partial correlation is obtained from the correlation between the risk nodes, and activity dependencies are derived by node by calculating the correlation influence and correlation dependency, thereby producing the causal relationship between the risk nodes and the degree of influence between all nodes in correlation. Recognizing the root cause of risks from networks between risk factors derived through SNA between risk factors enables more optimized and efficient risk management. This study is the first to apply SNA analysis techniques in relation to risk management response, and the results of this study are significant in that it not only optimizes the sequence of risk management for major risks in relation to risk management in IT projects but also presents a new risk analysis technique for risk control.

• Korean Journal of Social Welfare
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• v.38
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• pp.309-335
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• 1999

The purpose of this study is to classify welfare regimes using the method of qualitative comparative analysis(QCA). By formalizing the logic of qualitative analysis, QCA makes it possible to bring the logic and empirical intensity of qualitative approaches to studies that normally call for the use of quantitative methods. In QCA each case is conceived holistically, as a configuration of conditions, not a collection of scores on variables. Major findings of this study are as follows. Firstly, major explanations for welfare state differences are partly supported. Indicators relevant to each explanation can appear to be important only if other causal conditions are considered. For example, in the interventionist welfare states, high GDP per capita must be combined with the weakness of the Right and ethnic homogeneity. Otherwise, it can't discern interventionist from liberalist welfare states. Secondly, the equation for the interventionist welfare states includes multiple causal conjunctures. Many studies of welfare state find the same results. The third main finding is that IDV(individualism index) which is proxy for the weakness of informal network matters. Combining with other variables, IDV seems to be important in explaining the emergence of Confucian welfare states.

• Korean Journal of Construction Engineering and Management
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• v.24 no.5
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• pp.3-11
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• 2023

Building information modeling (BIM) can help to visualize and manage the building-related information at the object-based level, and it is possible to help link the tasks in the network of Hanok construction. While many studies have significant interest in using BIM for modern construction, there is only few studies to observe the use of BIM for traditional construction, commonly called Hanok construction in South Korea. Hence, the main goal of this study is to develop a system dynamic model for investigating how the BIM can be widely used for Hanok construction. To this end, this study identified the factors influencing the BIM uses for the Hanok construction, developed a causal loop diagram (CLD) to investigate the interrelationships among the factors, and provided a final model based on the mathematical definitions. Based on the scenario analysis, it is demonstrated that the support to building Hanok and education cost for BIM positively influence activating and using the BIM for the Hanok construction. Based on the dynamics of the factors identified in this study, it is important to consider expanding support for Hanok construction and education cost for BIM to successfully integrate and utilize BIM in the construction industry.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.214-229
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• 2016

Since financial crisis, sharing economy emerged as a result of economic stagnation, emerging environmental-friendly trend and increasing smartphone penetration, which led to reducing unnecessary consumption and increasing the practical usage of resources. This indicates the possibility that the sharing economy service will develop in this hyperconnectivity era in terms of increasing consumer utility. In this study, the author, therefore, empirically analyzed the factors that affect the continuous usage from the experience of service use and the causal relationship between the factors by regulating the success of sharing economy service as the continuous use after the acceptance of service. The findings demonstrated that the perceived value and network externality had a significant effect on both trust and satisfaction, and the perceived risk had a significant effect on trust. In addition, trust affected both satisfaction and continuous use intention significantly, and satisfaction also had a significant effect on continuous use intention. And the perceived value and risk, and network externality mediated trust and satisfaction, thereby having a significant effect on continuous use intention. Through this research, the author intends to provide an opportunity to enhance the competitiveness of sharing economy service under an uncertain business environment by way of identifying the success factors of the sharing economy service whose important is growing in recently years and the structural relationship between these factors.

• Journal of the Korean Society for information Management
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• v.29 no.3
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• pp.145-167
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• 2012

The purpose of this study is to examine the causal relationships among self-efficacy, perceived usefulness, perceived ease of use, perceived playfulness, and reuse intention of SNS. The results of data analysis by structured equation model(SEM) indicate that self-efficacy significantly influences individual's perceived ease of use, perceived usefulness and perceived playfulness. Both perceived playfulness and perceived ease of use affects perceived usefulness on SNS. Individual's self-efficacy, perceived playfulness and perceived usefulness affect reuse intention of SNS. Based on the results, the theoretical and practical implications of this study are discussed.