• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.9-17
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• 2023

The study attempted to answer the questions related to the expected effects of supply chain management variables which include: Partnership with Suppliers (PS), Relationships with Customers (RC), Quality of Information Exchange (QIE), and Postponement (P), as independent variables, total quality management (TQM) as a dependents variable, and just in time (JIT) as a mediator variable. The study relies on the descriptive approach by conducting an empirical study on commercial companies in Riyadh Governorate in the Kingdom of Saudi Arabia. Through the methods of descriptive and analytical statistics represented in exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM)), using the AMOS and SPSS programs, the results of the applied study indicated that: There is an effect of supply chain management variables (quality of information exchange, Postponement) on just in time (JIT), there is no effect of the supply chain variables (relationship with customers, partnership with suppliers) on just in time (JIT), there is an indirect effect of the quality of information exchange, Postponement, partnership with suppliers, the relationship with customers on total quality management (TQM), relationship with customers affect on total quality management (TQM) indirectly, just in time (JIT) does not affect total quality management (TQM)

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.103-111
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• 2012

This paper is a basic study for making a system that can predict the success and failure of entertainment contents at the initial stage of production. It proposes the user's emotion modeling of dynamic narrative on entertainment contents. To make this possible, 1) dynamic narrative emotion model is proposed based on theoretical research of narrative structure and cognitive emotion model. 2) configuring the emotion types and emotion value, proposed model of three emotion parameter(desire, expectation, emotion type) are derived. 3)To measure user's emotion in each story event of dynamic narrative, cognitive behavior and description of user(film, game) is established. The earlier studies on the user research of conceptual, analytic approach is aimed of predicting on review of the media and user's attitude, and consequently these results is delineated purely descriptive. In contrast, this paper is proposed the method of user's emotion modeling on dynamic narrative. It would be able to contributed to the emotional evaluation of entertainment contents using specific information.

• Journal of Korean Academy of Nursing
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• v.43 no.6
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• pp.791-800
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• 2013

Purpose: This study was done to test a structural equation modeling of case management outcomes in order to identify parameters affecting case management outcomes for the community-dwelling vulnerable elders. Methods: Data were collected from 309 nurses (case managers) and community-dwelling vulnerable elders (clients) from public health centers. For data analysis, descriptive statistics, Pearson correlation analysis, factor analysis, and covariance structure analysis were performed using SPSS Version 18.0 for Windows and Amos 16.0. Results: The hypothetical model had an acceptable fit: GFI=.97, CFI=.95, RMSEA=.02, SRMR=.05. The factor "case managers' singularity" had the greatest impact on case management outcomes in this model. In addition, the factor "case management practice" influenced case management outcomes; however, client characteristics did not. Case managers' singularity affected case management outcomes directly and indirectly, with case management practice mediating the latter effect. Conclusion: These results suggest that the causal relationship between case management outcomes and factors influencing these outcomes should be clarified through longitudinal research including a variety of client characteristics. In addition, in future studies, analysis of the effects of programs to improve manpower quality and examine the relationships among case management outcomes should be done.

• Journal of the Korean Society of Food Culture
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• v.27 no.4
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• pp.354-366
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• 2012

The objective of this study was analyze the relationship among emotional intelligence, job attitude (job satisfaction, organizational commitment, turnover intention), and organizational performance in kitchen staff. A survey collected data from foodservice employees (N=611). Statistical analyses were completed using SPSS Win (17.0) for descriptive analysis, reliability analysis, factor analysis, t-test, correlation analysis, and AMOS (7.0) for confirmatory factor analysis and structural equation modeling. The main results of this study were as follows. The four EI (Emotional Intelligence) dimensions significantly correlated with age. The mean of the job satisfaction score was 3.24. The organizational commitment score was 3.54. The organizational commitment score was higher for 'loyalty' factor than for 'sense of belongs' factor. The mean of organizational performance score was 3.61. The four EI(Emotional Intelligence) factors were significantly correlated with job satisfaction (organizational commitment, organizational performance, and turnover intension). Structural equation modeling found that emotional intelligence had positive effects on job satisfaction, organizational commitment, and organizational performance, whereas job satisfaction and organizational performance had positive effects on organizational performance. Therefore, this study found that emotional intelligence had direct and indirect effects on organizational performance.

• Korean Journal of Human Ecology
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• v.24 no.6
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• pp.783-793
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• 2015

The purpose of this study was to investigate the effect of Parenting Attitude, Self-esteem, and Peer Attachment on Emotion Problem. The study is based on data from first wave of 'Korean Child Youth Panel Survey 2010(KCYPS)' and the subjects of this survey were 2,098 1st grade junior middle school students. To measure the variables, this study used such scales as the parenting attitude scale, self-esteem scale, and peer attachment scale and emotional problem scale. The data were analyzed using descriptive statistics, Pearson's correlation and structural equation modeling analysis. Results of structural equation modeling with data indicated that hypothesized structural equation model produced a good fit but, no direct effect between negative parenting attitude and peer attachment. The self-esteem have mediating effect between parenting attitude and peer attachment, emotion problem. The peer attachment have mediating effect between positive parenting attitude and emotion problem but, did not have mediating effect between negative parenting attitude and emotion problem. The implications for counseling and suggestions for future research are discussed.

• Journal of the Korean Society of Costume
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• v.63 no.5
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• pp.61-71
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• 2013

As an emerging e-retail model, private shopping malls are transforming the traditional retail systems. These malls are expanding in Europe and the United States and have recently arrived in Korea. This study investigates the relationships among the usefulness of SNS(Social Networking Sites), shopping values, and purchase intentions for fashion products in private shopping malls. The analysis was based on a survey of consumers, aged between 20 and 39, who recently purchased fashion products from a private shopping mall. Two hundred samples were used in the final analysis. The study employed descriptive statistics, Cronbach's alpha, confirmatory factor analysis, and structural equation modeling. The relationships among usefulness of SNS, shopping values, and purchase intentions was verified through structural equation modeling. More specifically, the usefulness of SNS significantly influenced the utilitarian shopping values as well as purchase intention of fashion products. Utilitarian shopping values, in turn, significantly influenced hedonic shopping values and purchase intention. Further, hedonic shopping values had a significant effect on purchase intention.

• Korean Journal of Childcare and Education
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• v.14 no.5
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• pp.1-17
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• 2018

Objective: This study examined the relationship between child care teachers'job satisfaction, teacher-parent partnership, and teacher- child interaction in order to improve the quality of child care. Methods: Self-report questionnaires were used on 321 child care teachers and data were analyzed using descriptive statistics, Pearson correlation and Structural Equation Modeling Analysis. Results: First, significant correlations existed among variables except the relationship between payment/promotion and other variables. The results showed that child care teachers'job satisfaction had a significant and direct influence on teacher-child interaction, and teachers' job satisfaction was partially mediated by teacher-parent partnership on teacher-child interaction. Conclusion/Implications: The findings confirm that teachers' job satisfaction and teacher-parent partnership are preceding factors for positive teacher-child interaction. Significant attention should be paid to child care teachers'psychological satisfaction and teacher-parent relationships to promote the quality of child care and the positive interaction between teachers and children.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.91-100
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• 2021

Educational institutions play a critical role in national development through the advancement of skilled human resources and intellectual society. The number of higher educational institutions (HEIs) is increasing significantly in Bangladesh. Students have a number of options from which to select their preferred educational institutions. Hence, HEIs should think about the quality of services they provide to students. The objective of this study is to measure students' satisfaction and university reputation through service quality (SQ) in a private higher educational institution (PriHEI) in Bangladesh. Primary data was collected from 270 students of International Islamic University Chittagong (IIUC), Bangladesh, through a simple random sampling technique. In this study, data was analyzed through descriptive statistics, correlation, measurement model using confirmatory factor analyses, and structural equation modeling (SEM). The results showed that transport services have indirect but medical and physical facilities have both direct and indirect significant effects on overall students' satisfaction. Further, the administrative services and research facilities have significant indirect effects on overall students' satisfaction. Finally, the results of structural equation modeling (SEM) confirm that the reputation of the university is directly associated with overall students' satisfaction.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.19 no.1
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• pp.19-36
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• 2008

The advantage of ontology leads a new knowledge system through integrating existing knowledge system and descriptive element of the concept. This study based on the advantage of ontology, providing a modeling education ontology that considered educational circumstances and related objects-person, organization, educational resources and so forth. Therefore, this study developed the framework for education ontology that provided link between school library and MLA to practice teaching-learning activity, these characteristics of educational ontology were as follows : the first, utilizing the existing education metadata and ontology, the second, representing a concept of educational ontology, subsequently defining classes and properties of education domain, the third, adding new classes and properties to connect existing classes and properties.

• Journal of the Korean Data and Information Science Society
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• v.20 no.1
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• pp.179-190
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• 2009

In the financial industry, the decision tree algorithm has been widely used for classification analysis. In this case one of the major difficulties is that there are so many explanatory variables to be considered for modeling. So we do need to find effective method for reducing the number of explanatory variables under condition that the modeling results are not affected seriously. In this research, we try to compare the various variable reducing methods and to find the best method based on the modeling accuracy for the tree algorithm. We applied the methods on the pension insurance of a insurance company for getting empirical results. As a result, we found that selecting variables by using the sensitivity analysis of neural network method is the most effective method for reducing the number of variables while keeping the accuracy.