• Journal of Engineering Education Research
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• v.27 no.1
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• pp.32-40
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• 2024

This study attempted to develop an efficient management plan that allows both workers and organizations to coexist by analyzing the factors that influence the level of organizational immersion of engineering students. Analysis methods included frequency analysis, t-test, pearson correlation analysis, and hierarchical analysis. Firstly, self-esteem and transfer of learning were influential factors on organizational commitment. Second, self-esteem and transfer of learning were influencing factors of self-efficacy. Third, self-efficacy was an influential factor in organizational commitment. Fourth, self-efficacy appeared as a mediating effect on self-esteem and organizational immersion in learning transfer. Therefore, it is necessary to look for various factors that can increase self-efficacy, and to find opportunities for students to be highly immersed in the organization while studying at the same time.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.3
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• pp.69-80
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• 2023

The purpose of this study was to analyze the effects of consumers' fashion design evaluation factors on design value and brand loyalty. After confirming a research hypothesis, 247 people were selected as subjects for empirical analysis, and the results of the study are as follows. As a result of the analysis of 'the influence of consumer's fashion design evaluation factors on design value', the fashion design evaluation factors of 'convenience', 'social activity usefulness' and 'fashion ability' had an effect on the emotional design value. 'Convenience', 'functional usefulness', 'social activity usefulness', 'fashionableness' and 'aesthetic' factors affected the rational design value. 'Convenience', 'fashionableness', 'aesthetic' and 'psychological self-conformity' had a positive (+) effect on kinesthetic design values. As a result of the analysis of 'Influence of consumer's fashion design value on brand loyalty', 'emotional design value', 'rational design value' and 'kinesthetic design value' affect attitude brand loyalty, and 'emotional design value' and 'kinesthetic design value' affect brand loyalty. It was found that 'kinesthetic design value' has an effect on behavioral brand loyalty. As a result of the analysis of 'the effect of consumer attitude brand loyalty on behavioral brand loyalty', it was analyzed that attitude brand loyalty had a statistically significant positive (+) effect on behavioral brand loyalty.

• Culinary science and hospitality research
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• v.11 no.3 s.26
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• pp.40-55
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• 2005

The purpose of this study was to understand the effect of customers' repurchase intention, extract important factors, systematically analyze them and suggest the direction of bakery industry through studying the customers' satisfaction with bakeries. The researcher modified the questionnaire developed by Park, CH(1998), Lee, JH(2000), Yoon, YC(2000), and Kim SE(2002). In order to assess the level of customers' satisfaction with bakeries, a five point Likert scale was used. The used statistical methods for the data analysis were frequency analysis, reliability analysis, t-test factor analysis, ANOVA, multiple regression analysis. For all analyses of the research question, an alpha level of.05 was used. The major findings obtained from this study were as fellows. First on the factors of reliability and service ability, there was a high difference between males and females, and singles and the married. Second, on the factors of accessibility using convenience, service ability, and service response, there was a high difference among using frequence. Third, on the reliability factors, there was a high difference among average using amount per month. Forth, on the factors of accessibility using convenience, and service response, there was a high difference among types of customers' residing styles. Fifth, on the factors of income level, there was statistically no difference. Lastly, on the factors of accessibility using convenience, tangibleness, and service response, these factors significantly influenced customers' repurchase intention.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.1-13
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• 2015

This study deduced an effect produced on the export performance of ICT company through precedent study. And the importance of each factor was analyzed, regarding the deduced influencing factors. And influencing factors in the export performance of ICT export companies were presented at a practical level on the basis of analysis results. According to the results of analysis, with regard to the influencing factor in the export performance of ICT company, companies' factors were interpreted as the most important influencing factor among the 1st hierarchical factors. According to the results of analysis after setting 12 factors for the 2nd hierarchical factor, 4 factors including export experience, CEO's market orientation, marketing strategy, and export market attractiveness were interpreted as very important factors. Therefore, it was possible to find that, with regard to the influencing factor in the export performance of ICT company, above all, enterprise internal factors- i.e., companies' factors, marketing factors- were more important influencing factors.

• Educational Technology International
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• v.11 no.2
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• pp.43-75
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• 2010

The purpose of this study is to identify patterns of learner behaviors, conflicting and facilitating factors during collaborative work in an online learning community(OLC). This study further seeks to investigate the difference of learner behaviors between high- and low-performing groups, and conflicting and facilitating factors. The online postings from four groups(19 students) in the spring semester(study 1) and six groups(24 students) in the fall semester(study 2) were analyzed. A coding scheme was generated based on constant comparison using the qualitative data analysis tool, NVivo. The analysis identified 7 categories of learner behaviors in both studies. Among the seven categories, information seeking and co-construction were most frequently observed in both studies. One evident difference between the high- and low-performing groups was that the high-performing groups revealed more incidents of learner behaviors in both studies. In addition, six categories of conflicting factors and five categories of facilitating factors were emerged in both studies. The inefficiency of work category was one of the most frequently observed categories in both studies. Interestingly, the high-performing groups showed more incidents of conflicting factors than the low-performing groups. This study revealed two different types of conflicting factors and there is a need for different moderating strategies depending on its type. Based on the results of the study, effective design strategies for an OLC to facilitate active learning were suggested.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.288-293
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• 2008

The standard prestressed concrete I-girder bridge (PSC I-girder bridge) is one of the most prevalent types for small and medium bridges in Korea. When determining the member forces in a section to assess the safety of girder in this type of bridge, the general practice is to use the simplified practical equations or the live load distribution factors proposed in design standards rather than the precise analysis through the finite element method or so. Meanwhile, the live load distribution factors currently used in Korean design practice are just a reflection of overseas research results or design standards without alterations. Therefore, it is necessary to develop an equation of the live load distribution factors fit for the design conditions of Korea, considering the standardized section of standard PSC I-girder bridges and the design strength of concrete. In this study, to develop an equation of the live load distribution factors, a parametric analysis and sensitivity analysis were carried out on the parameters such as width of bridge, span length, girder spacing, width of traffic lane, etc. Then, an equation of live load distribution factors was developed through the multiple linear regression analysis on the results of parametric analysis. When the actual practice engineers design a bridge with the equation of live load distribution factors developed here, they will determine the design of member forces ensuring the appropriate safety rate more easily. Moreover, in the preliminary design, this model is expected to save much time for the repetitive design to improve the structural efficiency of PSC I-girder bridges.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.3 no.4
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• pp.37-42
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• 2004

End-milling have been widely used in aircraft, automobile part and moulding industry. However, various working factors such as spindle speed, feed rate and depth of cut in end-milling have an effect on spindle vibration. There it is demanded the quantitative analysis of spindle vibration in order to get the optimum surface roughness. This study was carried out to analyze an influence of working factors on spindle vibration by design of Experiment. The results are shown that mathematical model of regression equation for an influence of working factors on vibration acceleration of spindle in end-milling by regression analysis is presented.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.295-304
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• 2019

The study aims to investigate the determinant factors in the organisation of a firm's innovative activities, and the impact of innovation capability on firm's performance of electronic firms in Ho Chi Minh city, Vietnam. How is the performance of electronic companies after delivering an innovation project? How will innovation capability affect firm's performance in electronic companies? This study aims to seek the answer of these questions. We employ a Structural Equation Model and the PLS technique in order to validate the theoretical model proposed in this study. With observation of 374 valid firms, based on Cronbach's Alpha analysis, EFA analysis, CFA analysis and SEM analysis, this study discovers 5 groups of factors including: (i) Institution factors; (ii) Attitude of leadership factors; (iii) Marketing factors; (iv) Technological resources factors; (v) Combination factors, which have direct impact on innovation capability of firms. There are 4 groups of factors that have positive impacts on financial performance of electronic firms, with descending order of importance as follows: (1) Attitude of leadership factors; (2) Quality of human resources factors; (3) Innovation capability; (4) Marketing activities factors. Research results are important implications for Government administrative agencies for business to consult and introduce effective support policies.

• 한국방재학회:학술대회논문집
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• 2007.02a
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• pp.571-574
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• 2007

The purpose of this research is to analyze sensitivities on hydraulic characteristic factors of bridge and culvert causing flood water level rising. With HEC-RAS and RMA2 models, analysis of backwater due to bridge and culvert in an ideal stream was carried out. The results of hydraulic modeling and sensitivity analysis indicated that the opening ratio and the Froude number were the most sensitive factors and other factors were not quite sensitive to flood water level rising.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.11a
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• pp.218-219
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• 2014

The selection of an appropriate contract method is vital for the successful operation of the project. However, there has been a lack of studies on objective decision making support models for use in the planning stage of a project contract. The present study had the goal of analyzing the factors that influence contract method selection, as an initial study for developing a project contract method selection model. The existing related studies were analyzed, and the factors considered in the literature were selected. Then, based on the findings, the opinions of an expert group on the important factors for contract method selection were collected through a survey. The collected opinions were analyzed using factor analysis, a statistical analysis method. The results will be utilized in the future as preliminary data for developing a decision making model for selecting a contract method.