• Korean Journal of Construction Engineering and Management
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• v.21 no.1
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• pp.99-110
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• 2020

Productivity is also a very important indicator in the construction industry as it can measure economic growth and the efficiency of each related production activity, either at the industrial level or at the corporate level. Technical factors indeed have a great impact on productivity, but in order to improve productivity in the actual construction industry, various productivity factors must be analyzed first, and the efforts to improve productivity at the project level are more important than the efforts to improve productivity at the construction industry level, which are addressed from a macro perspective. This study was designed to provide basic data for efficient productivity management activities of the project by selecting priority management factors through the causal analysis of the factors and the elicitation of the productivity degradation factors at the construction site to improve the quality of the construction industry.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.1
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• pp.1-10
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• 2018

Current evaluation practices for IT projects suffer from several problems, which include the difficulty of self-explanation for the evaluation results and the improperly scaled scoring system. This study aims to develop a methodology of opinion mining to extract key factors for the causal relationship analysis and to assess the feasibility of quantifying evaluation scores from text comments using opinion mining based on big data analysis. The research has been performed on the domain of publicly procured IT proposal evaluations, which are managed by the National Procurement Service. Around 10,000 sets of comments and evaluation scores have been gathered, most of which are in the form of digital data but some in paper documents. Thus, more refined form of text has been prepared using various tools. From them, keywords for factors and polarity indicators have been extracted, and experts on this domain have selected some of them as the key factors and indicators. Also, those keywords have been grouped into into dimensions. Causal relationship between keyword or dimension factors and evaluation scores were analyzed based on the two research models-a keyword-based model and a dimension-based model, using the correlation analysis and the regression analysis. The results show that keyword factors such as planning, strategy, technology and PM mostly affects the evaluation result and that the keywords are more appropriate forms of factors for causal relationship analysis than the dimensions. Also, it can be asserted from the analysis that evaluation scores can be composed or calculated from the unstructured text comments using opinion mining, when a comprehensive dictionary of polarity for Korean language can be provided. This study may contribute to the area of big data-based evaluation methodology and opinion mining for IT proposal evaluation, leading to a more reliable and effective IT proposal evaluation method.

• International Commerce and Information Review
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• v.8 no.4
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• pp.209-227
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• 2006

This paper analyse current interpretation of the "causal link" that in particular, focuses principally on the so-called "non-attribution" requirement of Article 4.2(b) of the Safeguards Agreement. The safeguard measures are justified as a temporary economic adjustment to harm that is caused by an increase in imports. The problem with this justification is that there are other kinds of economic forces that may injure domestic industries, such as changes in consumer tastes, government spending or a lack thereof, and economic downturns. These problems do not justify government-imposed remedies. When factors therefore other than increased imports are causing injury to the domestic industry at the same time, such injury shall not be attributed to increased imports. The Appellate Body stressed that a contribution of third-party imports to the existence of serious injury must be sufficiently clear as to establish the existence of the causal link required, it found that Article 4.2(b) does not suggest that increased imports be the sole cause of the serious injury, or that other factors causing injury must be excluded from the determination of serious injury. The interest in separation is to ensure that a measure is not applied to remedy harm not caused by imports, but this basic point assumes that the harm is distinguishable in the first place. It also assumes that the safeguard is designed to respond to harm caused by imports. In fact safeguards were never intended to respond to this kind of unfair trade, but rather to provide whatever emergency relief might assist an ailing domestic industry if imports happened to be a part of that injury. The Appellate Body's insistence in breaking cause and effect down to minutia in the non-attribution analysis seems to be so overly intricate that it conflicts with it's broader focus on evaluating factors that effect harm on the industry as a whole.

• Knowledge Management Research
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• v.11 no.5
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• pp.59-78
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• 2010

In this paper, we arrange the concept of 'Green' in SCM after literature study of Green SCM and investigate causal relationships between influencing factors, practice level and environmental performance focused on Korean firms empirically and conduct path analysis for hypothesis test using partial least squares regression with bootstrap. Firstly, we divide influencing factors of Green SCM into environmental and organizational factors through the previous studies of innovation diffusion theory and environmental management theory, and then we selected 'uncertainty', 'competitiveness' as the environmental factors and 'top management support', 'perceived benefit', 'training' as the organizational factors. Secondly, we classify practice level of Green SCM into 'internal environmental management', 'green purchasing', 'eco-design'. Finally, we selected 'financial performance', 'environmental performance' as the organizational performance. We conducted a survey on the middle manager of manufacturing companies implementing SCM and an empirical analysis. The results of analysis show that there exist causal relationships between influencing factors, practice level, and environmental performance of Green SCM. We expect that the result of this study will suggest useful information to managers who are responsible for SCM to design and execute Green SCM in strategic perspectives.

• The Journal of Information Systems
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• v.21 no.1
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• pp.173-203
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• 2012

In this paper, we arrange the concept of 'Green' in SCM after literature study of Green SCM and investigate causal relationships between influencing factors, practice level and environmental performance focused on Korean firms empirically and conduct path analysis for hypothesis test using partial least squares regression with bootstrap. Firstly, we divide influencing factors of Green SCM into environmental and organizational factors through the previous studies of innovation diffusion theory and environmental management theory, and then we selected 'uncertainty', 'competitiveness' as the environmental factors and 'top management support', 'perceived benefit', 'training' as the organizational factors. Secondly, we classify practice level of Green SCM into 'internal environmental management', 'green purchasing', 'eco-design'. Finally, we selected 'financial performance', 'environmental performance' as the organizational performance. We conducted a survey on the middle manager of manufacturing companies implementing SCM and an empirical analysis. The results of analysis show that there exist causal relationships between influencing factors, practice level, and environmental performance of Green SCM. We expect that the result of this study will suggest useful information to managers who are responsible for SCM to design and execute Green SCM in strategic perspectives.

• Journal of the Korea Society of Computer and Information
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• v.21 no.3
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• pp.123-128
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• 2016

This study aims to analyze the causal relation between identity and school adaptation of multicultural family children, starting from necessity of empirical research considering insufficient preceding research. To achieve the purpose of the research, this study implemented empirical analysis regarding the causal relation between factors of self-identity and school adaptation. As a result, factors of self-identity implies significant effect on school regulations, while factors of school adaptation partially have an effect on school class and relations with a teacher and friend. Based on the result of verification, this study emphasizes teachers' effort as well as comprehensive and practical development of an educational program to help children from multicultural family establish the right self-identity for settling into school life. Moreover, the limitation of this study and future research direction is presented.

• Journal of Korean Elementary Science Education
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• v.37 no.1
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• pp.1-11
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• 2018

Factors and causal structures of pre-service elementary teachers about the critical thinking and the scientific literacy competency were investigated in this study. The third grade university students and the first grade university students in the metropolitan city participated in this study. The factor analysis method and the structural equation modeling method were used for the data analysis, and the following results were obtained. First, the third grade university students and the first grade university students recognized 'inquisitive thinking' factor and 'reflective thinking' factor as factors of the critical thinking, and 'scientific explanation' factor and 'evidence-based conclusion' factor as factors of the scientific literacy competency respectively. Second, the third grade university students showed more the influence from 'reflective thinking' factor to 'scientific explanation' factor and from 'reflective thinking' factor to 'evidence-based conclusion' factor than the first grade university students.

• Korean System Dynamics Review
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• v.2 no.2
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• pp.63-84
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• 2001

There are many activities to improve Nuclear Power Plant(NPP) performance and safety such as equipment improvement, redundancy and the like. Since public perception about NPP safety affects nuclear policy of site selection. Recent researches for NPP safety are including not only technical approaches but also social ones. In. this contexture, the purpose of this study is to develope cuassal loop digaram for assessment of organizational and human factors in NPP safety. Through real data from interview with NPP employees we develope causal loop diagram which can explain the relations of cause and effect among variables, and depict social system for organizational and human factors in NPP safety.

• Journal of the Ergonomics Society of Korea
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• v.11 no.2
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• pp.35-45
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• 1992

This study is to define a congitive paradigm including a new model of common cause human behavior error domain and to analyze their causal factors and their properties of common cause human error characteristics in software engineering. A laboratory study was performed to analyze the common causes of human behavior domain error in software development and to identify software design factors contributing to the common cause effects in common cause failure redundancy. The results and analytical paradigm developed in this research can be applied to reliabbility improvement and cost reduction in software development for many applications. Results are also expected to provide training guidelines for software engineers and for more effective design of ultra-high reliable software packages.

• Journal of the Ergonomics Society of Korea
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• v.20 no.3
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• pp.47-60
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• 2001

The purpose of this paper is propose an analytical method for evaluating user satisfaction of Internet website and identifying casual relationships between user satisfaction of Internet website and performance measures as like revisit intention and complaints using the structural equation model (SEM). This paper is intended to identify critical evaluation factors of user satisfaction for Internet website to determine criteria for evaluating the website. and use the criteria to develop a SEM model for quantitatively evaluation of each factors effects of user preference. The SEM model used 5 latent variables for the evaluation factors of website user satisfaction and 2 latent variables for performance evaluation. 2 portal sites were evaluated to construct the SEM model. and 74 subjects participated the website evaluation using the walk-through and face-to face survey method. Analysis results showed that the SEM model was statistically significant for all the 2 websites evaluated.