• Journal of The Korean Association For Science Education
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• v.22 no.4
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• pp.892-905
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• 2002

There are an increasing emphasis on affective domain, for example interest or belief, in science education. But decreasing interest on learning science and tendency to avoid science-related job are serious problems of secondary science education, especially in case of vocational high school students. However there are few researches for vocational high school students. In this study, preference for science is assumed to be a multidimensional property that reveals ones' behavioral volition and valuation as well as emotional response upon learning science. To investigate vocational high school students' preference for science and its causal factors, a Likert style questionnaire was developed through factor analysis. Students' preference for science was analyzed by 3 categories, and its causal factors are investigated by path analysis using structural equation model.

• Journal of Navigation and Port Research
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• v.34 no.2
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• pp.145-152
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• 2010

The management of safety at sea is based on a set of internationally accepted regulations and codes, governing or guiding the design and operation of ships. The regulations most directly concerned with human safety and protection of the environment are, in general, agreed internationally through the International Maritime Organization(IMO). IMO has continuously dealt with safety problems and, recognized that the human element is a key factor in both safety and pollution prevention issues(IMO, 2010). This paper proposes a human error analysis methodology which is based on the human error taxonomy and theories (SHELL model, GEMS model and etc.) that were discussed in the IMO guidelines for the investigation of human factors in marine casualties and incidents. In this paper, a cognitive process model, a human error analysis technique and a marine accident causal chains focused on human factors are discussed, and towing vessel collision accidents are analyzed as a case study in order to examine the applicability of the human error analysis technique to marine accidents. Also human errors related to those towing vessel collision accidents and their underlying factors are discussed in detail.

• Journal of Korean Society for Quality Management
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• v.41 no.2
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• pp.261-276
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• 2013

Purpose: This study intends to offer strategic implications that can be used in Korean medicine hospitals through analysis of causal relationship among factors focusing on image improvement and trust building. Methods: Differential model was introduced to test causal relationship. Questionnaire was developed, and data was collected and analyzed with Structural Equation Modeling. Results: Medical service has effects on image, trust, and CS. CS has an effect on trustworthiness, and trustworthiness has positive effect on loyalty intention and has negative effect on switching intention. Emotional attachment has moderating functions between trust and loyalty intention and between trust and switching intention. Conclusion: This study offers practical implications to relevant managers, at the same time it has limitations that omits relevant study of inducing factor for emotional attachment.

• Journal of the Korea Institute of Building Construction
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• v.9 no.2
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• pp.63-68
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• 2009

Construction Performance measurement and management has been interested by construction practitioners. However, current construction project management practices are related to short-term improvement plans rather than long-term and systematic approaches based upon performance analysis. AR a result, there is a need for developing of a collaborative plan over project life cycle. Therefore, this paper reviews extensive literature and proposes the construction performance estimating model using a system dynamics. The paper proposes casual maps for planning, design, procurement, and construction phases. Each casual map includes all performance indicators and factors that impact on performance directly or indirectly. These casual maps that were developed by system thinking will enhance the understanding of the relationships among performances and factors. After further data gathering, these models can be used to estimate construction performance and eventually these will save project costs and shorten project schedule.

• Korean Journal of Child Studies
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• v.27 no.3
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• pp.271-284
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• 2006

In order to define their relative influence, this study analyzed causal relationships between academic achievement of elementary school students and such related variables as self-esteem and the psychological and economic environment of the home, including clarification of other significant variables affecting academic achievement. Participants were a sample of 485 5th grade students from 8 elementary schools in Busan. Correlation, analysis of covariance structure modeling, and model-fitness tests were applied to the data. Results indicated that the psychological environment of the home has the most significant influence on the academic achievement of children, and the economic environment of the home and self-esteem have relatively low or indirect influence.

• Journal of Korean Society for Quality Management
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• v.47 no.1
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• pp.125-138
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• 2019

Purpose: The present research was designed to explore a causal relationship among SNS prosumer characteristics, relationship quality, user satisfaction, and loyalty intention, and we intended to explore mediating role of relationship quality in the causal relationship. Methods: As survey tool, questionnaire that had obtained validity and reliability through literature survey and pretest survey, and sample 214 was analyzed using SEM analysis method. Results: All theoretical relationships, except the relationship between information provision and relational quality, proved to be significant. The relationship quality plays an important intermediary role in the research model. Conclusion: The characteristics of SNS prosumer activity can be summarized by interaction and informational provision. To increase user satisfaction and loyalty, it is necessary to support these characteristics and strengthen relationships with customers.

• The Journal of Economics, Marketing and Management
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• v.8 no.1
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• pp.12-19
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• 2020

Purpose - Strategic causes for the failure include unrealistic growth, overexpansion, unfamiliar new markets, volume obsession, unrealistic promises and poor project selection. Organizational causes are insufficient capital and profits, lack of business knowledge, poor financial management, poor sales skills, inadequate marketing, poor leadership, poor leadership transfer, project losses, poor field performance and owner bankruptcy. Uncontrollable causes include industry and economic weakness and banking and surety changes. While helpful, the list provides insufficient clarity regarding the causal roots of failure. Research design, data and methodology - The research framework to organize the information involved with many of the recent and large failures in the industry. Results - This research then identified five dominant root causes - excessive egoism, poor strategic leadership, too much change, loss of discipline and inadequate capitalization. Conclusion - Finally, additional input from external forces may accelerate the firm's pace to failure. It is important on the development of diagnostic tools that are based on this model and that will provide new ways to assess a conglomerate's level of risk for incurring a financial crisis.

• Journal of The Korean Association For Science Education
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• v.24 no.2
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• pp.387-398
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• 2004

The purpose of this study was to investigate high school students' preference for science(PS) and its causal factors in terms of gender difference, and to suggest the way to improve students' preference for science. A questionnaire to evaluate the PS of high school students and its causal factors was specially designed by researchers. It was administered to 429 boys and 449 girls in eight high schools. The average score of the PS was 3.16 of 5.00 which was not high, but the PS scores of students who had wanted to be engaged in jobs related to science or medical field, were higher than the students who would be in other fields. There was no statistically significant difference between the boys' PS scores and girls', but the average scores of causal factors were higher in boys than in girls. Path analysis using a structural equation model was indicated that the pathways showing how causal factors made effects on each category of the boys' PS were simpler than those of girls. Particularly, while educational factors made indirect effects on three categories of the boys' PS, they did direct effects as well as indirect effect on the girls' PS. This means that the girls' PS is possible to be improved by applying the educational programs specially developed for girls.

• Journal of the Korea Society for Simulation
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• v.11 no.1
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• pp.59-70
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• 2002

This article presents the results of research to develop a descriptive model of firm-level productivity that will allow a myriad of factor interactions to be directly accounted for. The model is a linked set of equations that attempt to capture how changes in one-factor influences the level of another factor. and ultimately bottom-line performance. The model is coded in SIMAN. It is used to determine the best use of an infusion of funds should they go for additional automation, or training etc. An application of the model to U.S. industry is presented based on parameter values obtained through a national survey.

• Journal of Internet Computing and Services
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• v.10 no.1
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• pp.135-143
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• 2009

The purpose of this study was to explore factors that affected the satisfaction of students' experiences in an education course, with the educational method and educational technology designed with a blended learning strategy. Blended learning is currently recognized as a good solution for the problems posed by both online and face-to-face learning, because it has features like flexibility and accessibility by using tools supporting both individualization and socialization. This study is one case that illustrates how blended learning can be applied at the university level. Subjects were 56 students who had participated in the class and responded to the survey questions. The gathered data were analyzed by using Factor Analysis and the Structural Equation Model. Based on the results of Factor Analysis, data revealed 5 factors: learning motivation, previous experience, ability to use information & technology, capability of self-regulated learning, and learning satisfaction. The results of the Structural Equation Model revealed causal relationships among the aforementioned factors as follows: (a) there was a statistically meaningful causal relationship between "learning motivation" and "capability of self-regulated learning", (b) there was a statistically meaningful casual relationship between "previous experience" and "capability of self-regulated learning", and (c) "capability of self-regulated learning" directly affected "learning satisfaction".