• Title/Summary/Keyword: Causal factors

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An Analysis of High School Students' Preference for Science and Its Causal Factors in terms of Gender Difference (일반계 고등학생의 성별 과학 선호도와 인과 요인 분석)

  • Kim, Heui-Baik;Kim, Mi-Young;Im, Sung-Min
    • 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.

System Dynamics Approaches on Green Car Diffusion Strategies and the Causal Diagram Analysis (친환경차 확산전략에 대한 시스템다이내믹스 접근과 인과지도 분석)

  • Park, Kyungbae
    • Korean System Dynamics Review
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    • v.13 no.4
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    • pp.33-55
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    • 2012
  • The research is to identify important diffusion factors and their effects on green car diffusion process using system dynamics perspectives and a causal-loop analysis. Through a deep review on previous research, we have found the important factors of green car diffusion process. Price, driving range, network effect, recharge system, fuel cost had important facilitation on consumer attraction and green car diffusion. Based on the review, we have constructed a causal loop diagram explaining hybrid car diffusion process. We have found 3 important reinforcing loops in the causal loop diagram. Loop for learning & economies of scale(supply side), loop for network effect(consumer side), and loop for battery development(technology side) had most significant roles in the whole diffusion process. Through a deliberate analysis on the 3 causal loops, we have found meaningful results. First, there seems to exist a critical mass in the diffusion. Second, of the 3 loops, the battery technology had most significant role. Third, not consumer installed base but sales must be a standard to decide whether the critical mass is achieved or not. Based on these findings, several meaningful implications are suggested for the government and corporations related to the green car industries.

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Assessment of Landslide Causal Factors Using ANN Method (ANN 기법을 이용한 사면 붕괴인자 평가)

  • Song, Young-Karb;Jung, Min-Su;Oh, Jeong-Rim;Cha, A-Reum
    • Journal of the Korean Geotechnical Society
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    • v.28 no.10
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    • pp.89-96
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    • 2012
  • In this study landslide causal factors which are considered to have the same effect in assessment techniques are categorized and their impact on landslides is analyzed to acquire reasonable weighting factors in the landslide hazard. Results are compared to those of the Assessment Chart developed by National Institute for Disaster Prevention (NIDP) and the adequacy and proper portion for landslide causal factors are considered. The Artificial Neural Network (ANN) method applied to 28 landslide areas is incorporated to evaluate the reasonable rating. Results show that the following items in the Chart are necessary to modify their portions in order to implement the precise assessment results: 1) Estimated damage; 2) Tension crack; 3) Existence of valley.

The Analysis of Causal Relationship among Students' Science-related Career Choice and its Factors (학생들의 과학진로 선택 과정에 영향을 미치는 요인들 간의 인과관계 분석)

  • Yoon, Jin
    • Journal of The Korean Association For Science Education
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    • v.27 no.7
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    • pp.570-582
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    • 2007
  • The purpose of this study was to analyze the causal relationship among students' science-related career choice and its factors. The causal relationship was analyzed using structural equation modeling. According to the most fitting model, science career aspiration had a direct and total effect of 0.95 (standardized coefficient) on the science career choice, and personal factor had an indirect and total effect of 0.75 on the science career choice, educational factor, 0.46, and social factor, 0.11. Personal factor had a direct and total effect of 0.79 on the science career aspiration, educational factor with total effect of 0.48 (direct effect -0.21, indirect effect 0.69), and social factor with direct and total effect of 0.12. On the other hand, educational factor had a direct and total effect of 0.72 on the social factor, and a direct and total effect of 0.77 on the personal factor. The difference in the causal effect among grades and between gender was analyzed. The difference was only in the magnitude of influence among grades, showing the same tendency with the total number of students, but the difference between gender was contrastive. For the boys, social factor had the biggest effect on the science career choice, next was personal factor, and the educational factor had the smallest effect. The girls' science career choice influenced mostly from personal factor, and the other two factors' effects were not high. The social effect was negative for the girls' science career choice. The implications of proper science career education were discussed from these results, considering the causal relationship among factors of science career choice and its factors.

Influential Analysis among Causal Factors of Internet Addiction for High School Students (고등학생 대상 인터넷 중독 유발 요인간 영향력 분석)

  • Han, Oakyoung;Kim, Jaehyoun
    • The Journal of Korean Association of Computer Education
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    • v.15 no.5
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    • pp.23-31
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    • 2012
  • The purpose of this study is to seek solutions for the adverse effects of the informatization by analyzing the influential factors of internet addiction to maximize prevention of the internet addiction for highschool students. The causal factors of the internet addiction are classified into three categories: personal factors, familial factors, and social environmental factors. To validate the study, the questionnaires were given to four high schools which were two generalized high schools and two specialized high schools in the Seoul and Kyunggi Area. The most influential factor of the internet addiction was identified, and hierarchical influence among factors were analyzed by evaluating the questionnaires. The result of the generalized high schools was different from that of the specialized high schools. It proved that different countermeasures must be prepared depending on environment of internet users. Therefore, diverse and comprehensive solutions for internet addiction must be devised to solve the problem of internet addiction.

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Development of Project Success Model in Enterprise Using FCM (FCM을 이용한 기업프로젝트의 성공 모델 개발)

  • Park, Young-Man;Hwang, Seung-Gook;Park, Kwang-Bak;Lee, Young-Joo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.1
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    • pp.123-128
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    • 2010
  • To increase the chance of the success of project, it is necessary to identify the important factors influencing the performance of project. Cognitive map has been used for analysing by investigating causal links among relevant factors. A fuzzy cognitive map (FCM) is an extension of a cognitive map with the additional capability of representing feedback through weighted causal links. Project performance is influenced by several factors such as input resources, possibility of achievement, concern of others and so on. The object of this paper is to develop the project success model of enterprise using a fuzzy cognitive map approach to investigate the degree of causal relationship between project performance and these factors.

The Causal Relationship on Quality-centered Organizational Culture and Its Impact on Service Failure and Service Recovery

  • Suk, Jong-Bae;Chung, Soong-Hwan;Choi, Kang-Hwa;Park, Ji-Young
    • International Journal of Quality Innovation
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    • v.10 no.1
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    • pp.37-51
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    • 2009
  • The purpose of TQM (Total Quality Management)-centered organizational culture is to enhance the efficiency of business through the proper allocation and concentration of restricted resources. In order to maximize the corporate profitability through customer satisfaction, what kind of, when and how many resources should be allocated and managed to the preventive TQM activities and corrective TQM activities have become a very important decision making factors at the point of high management. This study aims to identify the causal relationships of quality-centered organizational culture on service quality and customer satisfaction relating to service failure in food service industry. And this study is intended to discover the factors of quality-centered organizational culture which impacts on service recovery justice after service failure happens, and it can be helpful for the top managers to make a decision to how to form corporate structural culture.

Development of Causal Map about Impact of Employment Structure of Construction Workers on the Construction Industry (건설 근로자 고용구조가 건설 산업에 미치는 영향에 대한 인과지도 개발)

  • Lee, Chanwoo;Kim, Minju;Cho, Hunhee;Kang, Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.120-121
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    • 2018
  • The construction industry is a typical labor-intensive industry, and is heavily influenced by the employment structure. However, research on how the employment structure of construction workers affects the construction industry has not been sufficiently studied. In this study, the major factors influenced by the employment structure in the construction industry are derived and the causal relationship between the factors is illustrated. The results of this study are expected to be used as data for setting direction of policies related to the employment structure of construction workers.

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Investigation on Causal Relationships between Home Environment and Children's Self-efficacy (가정환경과 아동의 자기-효능감간의 인과모형 탐색)

  • Woo, Hee Jung;Lee, Sook
    • Korean Journal of Child Studies
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    • v.15 no.1
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    • pp.71-90
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    • 1994
  • This study investigated sex differences in children's self-efficacy and causal relationships between children's self-efficacy and home environment. The home environment factors included mother's efficacy, marital satisfaction, child rearing attitudes, and socio-economic status. The subjects were 491 fifth and sixth grade children and their mothers. The data were analyzed by t-test using the SAS $PC^+$ program and covariance structural analysis using the PC-LISREL VI. The results showed that there were no sex differences in children's global self-efficacy level, but there were sex differences in some subfactors. Furthermore, we found that the same causal model appears for both sexs in the relationship between home environment and children's self-efficacy. That is, socio-economic status of the home and mother's psychological factors influenced mother's attitudes for child rearing which had a direct impact on children's self-efficacy.

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A Study on Dynamic of Korea Defense Industry Using the System Dynamics Model (시스템다이내믹스 모형을 이용한 한국 방위산업의 동태성 연구)

  • Seo, Hyeok;Oh, Ki-Yeol
    • Korean System Dynamics Review
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    • v.6 no.2
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    • pp.117-138
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    • 2005
  • The defence industry of the Republic of Korea(ROK) has grown up since 1970, however it is facing a growth hindrance due to its structural problem. Many professionals of defense industry has developed some measures to upgrade and energize the defence industry of ROK, and also the current government is implementing various transformations and new policies under the initiative of cooperative independence defence. But most of papers published so far have some limitations resulting from their qualitative contents. And also it is true for them not to show policy alternatives devised by the system thinking. This paper identifies essential factors of defense industry, then analyze the causal relation among those factors. It also shows the causal loop to identify the politic leverages, on which concrete measures to resolve the structural problems are based.

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