• Culinary science and hospitality research
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• v.19 no.5
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• pp.11-22
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• 2013

This study aimed to identify the relationships between the quality and image of school meal service and satisfaction perceived from high school students and to access the moderating effect of its distribution types. For the empirical analysis, this study used SPSS 18.0 and AMOS 18.0 and conducted frequency analysis, reliability analysis, exploratory and confirmatory factor analysis, path analysis and chi-square difference test. As a result of the analyses, the validity and reliability were identified showing over 0.4 factor loading value, ${\chi}^2$=258.831, d.f.=98, RMR=0.059, GFI=.822, AGFI=.776, NFI=0.908, IFI=0.941, CFI=0.940. The results of the structural equation modeling analysis are as follows: first, the quality of school meal service had a significant influence on its image; next, the image of school meal service had a significant influence on satisfaction with the service; last, there is a significant moderating effect of distribution types in the relationship between the image of school meal service and satisfaction with the service.

• The Journal of Society for e-Business Studies
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• v.15 no.1
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• pp.173-189
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• 2010

This study empirically explores the relationship among knowledge management success factors (leadership, organizational culture, information technology, measurement, incentive, knowledge quality), knowledge management activities(knowledge creation and knowledge use), and task performance in disaster management area. Findings suggest that (1) organization culture, information technology, incentive and quality of knowledge are significantly related to knowledge creation activities while leadership, information technology, incentive and quality of knowledge are significantly related to knowledge use activities, (2) higher level of knowledge creation is related to high level of knowledge use, and (3) the level of knowledge use activities seems to be significantly related to task performance in disaster management, while knowledge creation activities are not.

• Membrane and Water Treatment
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• v.7 no.3
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• pp.223-240
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• 2016

In this study, poly(vinyl-alcohol) and water insoluble ${\beta}$-cyclodextrin polymer (${\beta}$-CDP) cross-linked with citric acid, have been used as macrocyclic carrier in the preparation of polymer inclusion membranes (PIMs) for aniline (as molecule model) extraction from aqueous media. The obtained membranes were firstly characterized by X-ray diffraction, Fourier transform infrared and water swelling test. The transport of aniline was studied in a two-compartment transport cell under various experimental conditions, such as carrier content in the membranes, stirring rate and initial aniline concentration. The kinetic study was performed and the kinetic parameters were calculated as rate constant (k), permeability coefficient (P) and flux (J). These first results demonstrated the utility of such polymeric membranes for environmental decontamination of toxic organic molecules like aniline. Predictive modeling of transport flux through these materials was then studied using design of experiments; the design chosen was a two level full factorial design $2^k$. An empirical correlation between aniline transport flux and independent variables (Poly ${\beta}$-CD membrane content, agitation speed and initial aniline concentration) was successfully obtained. Statistical analysis showed that initial aniline concentration of the solution was the most important parameter in the study domain. The model revealed the existence of a strong interaction between the Poly ${\beta}$-CD membrane content and the stirring speed of the source solution. The good agreement between the model and the experimental transport data confirms the model's validity.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.5
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• pp.23-38
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• 2007

Since the players in online games seek fun, emotional aspects may be important factors in the pleasure-oriented information systems. This study attempted to verify the effects of characteristic factors of games (fun, challenge, compensation, and diversity) on emotion and customer satisfaction in game portal sites. The study established the research model on the foundation of precedent researches related to online games, emotion, and customer satisfaction. The study conducted online and offline survey on individuals with experiences in using online game portal sites. 206 samples were used to test the research hypotheses. By using Structural Equation Modeling, The study found the following results. First, it was revealed that characteristics of games had positive effects on emotion in game portal sites and indirect effects on user satisfaction. Second, the study analyzed the difference between low user group and high user group. It was revealed that the characteristics of games had positive effects on emotion in the low user group, but only challenge factor influenced on emotion in the high user group.

• Research in Community and Public Health Nursing
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• v.11 no.2
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• pp.321-332
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• 2000

The purpose of this study was to test the hypothetical model designed to explain nursing students' perceived stress, coping levels, and stress outcomes. This hypothetical model was based on the Kim. Jung Hee(l987)' s stress model and stress-related literature. Exogenous variables were self-efficacy. hardiness. social support. and exercise. Endogenous variables were stress perception. coping levels. and stress outcomes. Empirical data for testing the hypothetical model consisted of 205 nursing students. SAS PC Program and LISREL 8.12a program were used for descriptive statistics and linear structural relationship(LISREL) modeling. The results were as follows. 1) The overall fit of the hypothetical model to the data was good( $x^2$=78.41(p=0.010), $x^2$/ df=1.50. RMSEA=0.05, standardized RMR= 0.05, GFI=0.95, AGFI=0.91, NNFI=0.90, NFI=0.94). 2) The results of statistical testing of the hypotheses were as follows. (1) As expected. self-efficacy had a significant effect on stress perception. But. hardiness. social support, and exercise did not have a significant effect on stress perception. Self-efficacy, hardiness. social support, and exercise explained 12% of the total variance of stress perception. (2) As expected, self-efficacy, hardiness, social support, exercise, and stress perception had a significant effect on coping behavior, Self-efficacy, hardiness, social support, exercise, and stress perception explained 53% of the total variance of coping behavior. (3) As expected, stress perception and coping behavior had a significant effect on stress outcomes. Stress perception and coping behavior explained 84% of the total variance of stress outcomes. In conclusion, the hypothetical model of this study was confirmed in explaining and predicting stress perception, coping levels, and stress outcomes in nursing students. And these findings suggest the need to develop nursing intervention to enhance self-efficacy, hardiness, social support, and exercise to decrease the harmful outcomes of stress.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.1085-1094
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• 2010

In these day, the recession of economics and cutting-off jobs makes increases of start-up business. The unprepared start-up business which lacks sufficient information and knowledge should fall. For successful start-up business, the effective education program should be necessary. This study reviews factors such as learning motivation, entrepreneurial intention, education satisfaction, self-efficacy affecting the performance of short-term education program. This study establishes hypothesis and verifies them. To verify the hypothesis, this study explores factors affecting the performance of short-term entrepreneurial education program through utilizing factor analysis, and structural equation modeling. We suggest that the results of the study could be utilized as followings; First the results of study could be used to establish policy which improves the performance of short-term entrepreneurial education program. Second, the identified factors help educator to established the curriculum of the short-term entrepreneurial education program. Third, the identified factors could be established as criteria to recruit the applicants who wants to received short-term entrepreneurial education program.

• Safety and Health at Work
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• v.9 no.1
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• pp.115-124
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• 2018

Background: Substantial empirical research has shown conflicting results regarding the influence of organizational external factors on construction risk management, suggesting the necessity to introduce a moderator into the study. The present research confirmed whether rules and regulations matter on the relationships between organizational external factors and construction risk management. Methods: Based on discouragement and organizational control theory, this research examined the effects of organizational external factors and rules and regulations on construction risk management among 238 employees operating in construction companies in Abuja and Lagos, Nigeria. A personally administered questionnaire was used to acquire the data. The data were analyzed using partial least squares structural equation modeling. Results: A significant positive relationship between organizational external factors and construction risk management was asserted. This study also found a significant positive relationship between rules and regulations and construction risk management. As anticipated, rules and regulations were found to moderate the relationship between organizational external factors and construction risk management, with a significant positive result. Similarly, a significant interaction effect was also found between rules and regulations and organizational external factors. Implications of the research from a Nigerian point of view have also been discussed. Conclusion: Political, economy, and technology factors helped the construction companies to reduce the chance of risk occurrence during the construction activities. Rules and regulations also helped to lessen the rate of accidents involving construction workers as well as the duration of the projects. Similarly, the influence of the organizational external factors with rules and regulations on construction risk management has proven that most of the construction companies that implement the aforementioned factors have the chance to deliver their projects within the stipulated time, cost, and qualities, which can be used as a yardstick to measure a good project.

• Land and Housing Review
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• v.4 no.3
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• pp.235-241
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• 2013

There have been a lot of previous studies that brand image has a positive impact on purchase as well as the value enhancement of the product with the spread of brand importance and the introduction of brand in the apartment. This study verified that brand image can be factorized and separated into two factors - basic characteristics and additional characteristics. The basic characteristics means essential parts that generally should be provided for housing and the additional characteristics are competitively developed concepts introduced by construction companies for sales promotion. The results of the empirical analysis that verified the effects of the two factors on purchase intention are as follows. The basic characteristics have the positive impact on purchase intention while the additional characteristics are otherwise. This result suggests that it is more important to be faithful to the basics than to be competitively differentiated by the additional characteristics in the apartment market.

• Journal of Korean Society of Transportation
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• v.21 no.4
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• pp.145-154
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• 2003

Multilevel and Multivariate Structural Equation Mpdel is applied to handle the hierarchical nature of the data and explain complex relationship among socioeconomic factors of individuals and household, activity participation, and travel behavior using Puset Sound Transportation Panel data. From analysis, variations of individual activity participation and travel behavior can be divided into two categories : Within-household variation and Between-households variation. Empirical results show that the interdependency index(p) of variables for household members within a household is between 0.13 and 0.33 indicating high interdependency. These results suggest that Multilevel and Multivariate SEM approach is an appropriate modeling methodology and gives additional information for activity participation and travel behavior. Also most of personal and household characteristics influence on activity participation and travel behavior within a household as well as between households.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.464-464
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• 2010

A few years ago, for maintaining high stability and production yield of production equipment in a semiconductor fab, on-line monitoring of wafers is required, so that semiconductor manufacturers are investigating a software based process controlling scheme known as virtual metrology (VM). As semiconductor technology develops, the cost of fabrication tool/facility has reached its budget limit, and reducing metrology cost can obviously help to keep semiconductor manufacturing cost. By virtue of prediction, VM enables wafer-level control (or even down to site level), reduces within-lot variability, and increases process capability, $C_{pk}$. In this research, we have practiced VM on $SiO_2$ etch rate with optical emission spectroscopy(OES) data acquired in-situ while the process parameters are simultaneously correlated. To build process model of $SiO_2$ via, we first performed a series of etch runs according to the statistically designed experiment, called design of experiments (DOE). OES data are automatically logged with etch rate, and some OES spectra that correlated with $SiO_2$ etch rate is selected. Once the feature of OES data is selected, the preprocessed OES spectra is then used for in-situ sensor based VM modeling. ICP-RIE using 葰.56MHz, manufactured by Plasmart, Ltd. is employed in this experiment, and single fiber-optic attached for in-situ OES data acquisition. Before applying statistical feature selection, empirical feature selection of OES data is initially performed in order not to fall in a statistical misleading, which causes from random noise or large variation of insignificantly correlated responses with process itself. The accuracy of the proposed VM is still need to be developed in order to successfully replace the existing metrology, but it is no doubt that VM can support engineering decision of "go or not go" in the consecutive processing step.