• Journal of The Korean Association For Science Education
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• v.31 no.5
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• pp.734-744
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• 2011

The purpose of this study was to identify middle school students' mental models on plate tectonics and to compare the mental models of verbal-learning-style students with those of visual-learning-style students. 94 student participants in 9th grade were requested to draw and explain three topics; generation of magma, the formation of the mountain range and the interior of the Earth. The criterions for analyzing the mental models are derived from the data of the drawing task. The research results were as follows: The mental models on the generation of magma were classified as 'unstable model,' 'partial casual model,' 'causal model,' and 'conceptual model.' On the other hand, the mental models on the interior of the Earth were classified as 'static unstable model,' 'dynamic unstable model,' and 'conceptual model.' Students holding 'unstable model' were unable to relate the plate collision and the magma generation. They showed a variety of alternative conceptions of study areas, such as 'magma is generated from the core' and 'the mountain is formed by rising of the plates themselves.' Also, visual-learning-style students showed higher proportion of conceptual models and lower proportion of unstable mental models than verbal-learning-style students on three topics. The findings revealed that the students tend to have different concepts on the plate tectonics depending on their learning style.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.374-386
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• 2011

This study investigated the impact of leader's coaching on job satisfaction and job involvement. In particular, this study examined employees' self-efficacy as a mediator in the relationship between leader's coaching and job satisfaction and job involvement. On the basis of theoretical linkages between the constructs, a conceptual model and hypotheses were established. Empirical data were collected by using a set of questionnaires. This survey was administered to employees working in 20 firms. 269 samples were used for the analysis. This study conducted a exploratory factor analysis and confirmatory factor analysis for the validity test, structural equation modeling(SEM) was employed to test the hypothesized relationships in the conceptual model. This study shows that the proposed model is reasonably fit to the actual data. From these analyses, the following results were obtained. First, leader's coaching is positively related to employees' self-efficacy. Second, leader's coaching is positively related to job satisfaction and job involvement. Third, employees' self-efficacy has partially mediated effects on the relationship between leader's coaching and job satisfaction and job involvement.

• Korean Journal of Construction Engineering and Management
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• v.11 no.6
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• pp.3-13
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• 2010

The purpose of this research is to develop a conceptual model that establishes a new approach for functional area cost estimating in the schematic design phase. A cost estimating model should consider not only the estimate accuracy, but also the flexibility to the design alternatives and user-oriented serviceability. Therefore, this research uses the method that classifies various facilities of a building according to its functions by analyzing historical data. After setting the functional area as cost parameter, a formula which can estimate functional area cost is derived from statistical analysis. Finally, to validate the proposed conceptual model, it is applied to historical data of a military barrack project. It enables customized space planning reflecting client's needs and compares the cost of various design alternatives as well as improves estimate accuracy.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.1
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• pp.131-147
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• 2016

This study investigated the relationship between fashion behavior, impression management behavior, and career success. A conceptual model and hypotheses were established based on theoretical linkages between the constructs. Thereafter, empirical data were collected using a set of questionnaires. For this reason, the sample was taken from 720 office workers' who worked at 14's Korea Enterprise, 697 of which was used for an empirical analysis (sample: men over 30 years of age and more than three years continuous service). This study conducted an exploratory factor analysis and confirmatory factor analysis for the validity test. Cronbach's alpha test is used for the reliability test. Moreover, PLS structural equation modeling (SEM) was employed to test hypothesized relationships in the conceptual model (SPSS 20.0 window/Smart PLS 3.0). This study shows that the proposed model is reasonably fit to the actual data. The following results were obtained from the analyses. First, fashion behavior and impression management behavior is positively related to career success. The result shows that economics of the fashion behaviors sub-types were statistically more significant to influence career success. The self-focused of the impression management behavior sub-types were more than statistically significant to influence career success. This finding has great implications to understand self-management behavior and the career success of male office workers.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.15-21
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• 2007

Due to a decreasing tendency of river runoff in the Laohahe River basin in North China, quantitative analysis was made with the aid of the conceptual Xinanjiang model under the background of nature climate variability as well as human-induced climate change according to the long-term observational hydrometeorological data. In the past, the human effect on surface water resources was estimated by investigating the impact of human activities on each item in the equation of water balance, so as to calculate water quantity of each item in the original natural status. It seems to be clear conceptually. It is appropriate just for the case of direct impact, such as water transfer from one basin to another, water storage by various scales of hydraulic projects, besides a huge amount of investigation and indeterminate statistics data when applied in practice. It is difficult for us to compute directly water consumption due to the implementation of measures for soil conservation, the improvement of farming techniques in agriculture, the growth of population in towns and villages, and the change of socioeconomic structure. In view of such situation, the Xinanjiang model was used to separate human impact from the climatic impact on water resources. Quantitatively human activity made river runoff decrease by 1.02, 50.67, 58.06 mm in 1960's, 1970's, 1980's, respectively, while by 97.2 mm in 1990's in the sense of annual average in the Laohahe River basin.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.397-419
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• 2020

Business analytics is a management tool for achieving significant business performance improvements. Many organizations fail to or only partially achieve their business objectives and goals from business analytics. Business analytics adoption is a multi-stage complex activity consisting of evaluation, adoption, and assimilation stages. Several research papers have been published in the field of business analytics, but the research on multi-stage BA adoption is fewer in number. This study contributes to the scant literature on the multi-stage adoption model by identifying the critical themes for evaluation, adoption, and assimilation stages of business analytics. This study uses the thematic content analysis of peer-reviewed published academic papers as a research technique to explore the key themes of business analytics adoption. This study links the critical themes with the popular theoretical foundations: Resource-Based View (RBV), Dynamic Capabilities, Diffusion of Innovations, and Technology-Organizational-Environmental (TOE) framework. The study identifies twelve major factors categorized into three key themes: organizational characteristics, innovation characteristics, and environmental characteristics. The main organizational factors are top management support, organization data environment, centralized analytics structure, perceived cost, employee skills, and data-based decision making culture. The major innovation characteristics are perceived benefits, complexity, and compatibility, and information technology assets. The environmental factors influencing BA adoption stages are competition and industry pressure. A conceptual framework for the multi-stage BA adoption model is proposed in this study. The findings of this study can assist the practicing managers in developing a stage-wise operational strategy for business analytics adoption. Future research can also attempt to validate the conceptual model proposed in this study.

• Korean Journal of Social Welfare
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• v.57 no.3
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• pp.415-435
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• 2005

The purpose of this study was to investigate conceptual constructions which determined financial preparedness for retirement. This study was guided by two theoretical frameworks, planned behavior theory and hierarchical personality model. Based on two theories, the conceptual framework which aimed to explain financial preparedness for retirement were formulated. Data from 'The health and welfare profile of the elderly aged 65 and or older in Chung-choo city' was analyzed. The subjects consisted of 87 economically active elderly population. Structure equation model was employed for statistical analyses. The results of structure equation model revealed that the casual relationship between the level of perceived financial-planning knowledge and the level of financial preparedness for retirement was statistically significant. Also, the hypothesized structural model for financial preparedness for retirement had the good model fit. Implications for social work practice from this study were discussed.

• Journal of Korea Water Resources Association
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• v.39 no.1 s.162
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• pp.47-57
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• 2006

This study derives an event-based tank model with a conceptual rainfall-infiltration process, modifying conventional tank models. The model comprises two serial tanks, one parallel tank and an infiltration regulating element. The infiltration process within the element is not represented as a function of only time, but as a function of soil moisture content for three possible cases owing to the relationship between rainfall intensity and infiltration capacity. This study considers the previous soil moisture condition of a watershed by using antecedent precipitation index. Six parameters of the model are identified by using the real coded genetic algorithm. The applicability and validity of the proposed model are assessed for the observed stormwater data from the research basin of the International Hydrological Program, the Pyeongchanggang River basin, Republic of Korea. The results computed streamflows show relatively good agreement with observed ones.

• The Journal of Society for e-Business Studies
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• v.12 no.2
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• pp.31-45
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• 2007

Over the past decades, there have been numerous studies for approaches to build and operate electronic government systems. Among those studies, work breakdown structure(WBS) has been gained attention increasingly. As a general system engineering techniques. WBS is a kind of methods to engineer and manage electronic government systems effectively. WBS is to organizes tasks and data items for management and engineering for electronic government systems. In this paper, the authors proposed a conceptual WBS model for management and engineering electronic government systems. Also, the authors conducted a case study based on the conceptual WBS model. The results of this study provide useful insights and guidelines for applying the WBS to management and engineering for electronic government systems. The authors believed that the conceptual WBS models will be widely used to management and engineering an electronic government systems.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.9
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• pp.85-94
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• 2004

As over 70% of the total life cycle cost (LCC) of a product is committed at the early design stage, designers are in an important position to substantially reduce the LCC of the products they design by giving due to life cycle implications of their design decisions. During early design stages, there may be competing concepts with dramatic differences. In addition, the detailed information is scarce and decisions must be made quickly. Thus, both the overhead in developing parametric LCC models fur a wide range of concepts, and the lack of detailed information make the application of traditional LCC models impractical. A different approach is needed, because a traditional LCC method is to be incorporated in the very early design stages. This paper explores an approximate method for providing the preliminary LCC, Learning algorithms trained to use the known characteristics of existing products might allow the LCC of new products to be approximated quickly during the conceptual design phase without the overhead of defining new LCC models. Artificial neural networks are trained to generalize product attributes and LCC data from pre-existing LCC studies. Then the product designers query the trained artificial model with new high-level product attribute data to quickly obtain an LCC for a new product concept. Foundations fur the learning LCC approach are established, and then an application is provided.