• Journal of the Korean Society for Library and Information Science
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• v.48 no.4
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• pp.71-90
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• 2014

This study aims at examining the ways which a school librarian uses SNS when performing tasks and the use of SNS with the features of the task and the organizational system run by one person affect task performance. In this study, for objective explanation of the interrelation among a librarian's tasks and the use of SNS and performance, the model of a Librarian's Task-SNS Technology Fit was suggested through the combination of the Technology Acceptance Model and the Task-Technology Fit. Based on the result of the survey analysis, their utilization of SNS is not just limited to personal taste nor interferes with their work. Rather, it enhances task performance owing to the characteristics of the tasks or the organization such as the organizational system run by one person.

• Journal of Korean Academy of Nursing
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• v.49 no.5
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• pp.631-642
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• 2019

Purpose: This study aimed to predict the influencing factors and the consequences of near miss in nurses' medication error based upon Salazar & Primomo's ecological system theory. Methods: A convenience sample of 198 nurses was recruited for the cross-sectional survey design. Data were collected from July to September 2016. Using the collected data, the developed model was verified by structural equation modeling analysis using SPSS and AMOS program. Results: For the fitness of the hypothetical model, the results showed that $x^2$ ($x^2=258.50$, p<.001) was not fit, but standardized $x^2$ ($x^2/df=2.35$) was a good fit for this model. Additionally, absolute fit index RMR=.06, RMSEA=.08, GFI=.86, AGFI=.81 reached the recommended level, but the Incremental fit index TLI=.82, CFI=.85 was not enough to reach to the recommended level. With the path diagram of the hypothetical model, caution (${\beta}=-.29$ p<.001), patient safety culture (${\beta}=-.20$, p=.041), and work load (${\beta}=.18$, p=.037) had a significant effect on the near miss experiences in nurses' medication error, while fatigue (${\beta}=-.06$, p=.575) did not affect it. Moreover, the near miss experience had a significant effect on work productivity (${\beta}=-.25$, p=.001). Conclusion: These results have shown that to decrease the near miss experience by nurses and increase their work productivity in hospital environments would require both personal and organizational effort.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.271-280
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• 2020

The use of multiple celebrity endorsement is a common practice in advertising campaigns. However, little research has been conducted on the effects of multiple celebrity endorsement. In particular, the current study is designed to delve into what factors influence the effects of multiple celebrity endorsement. Portfolio-brand fit, portfolio-celebrity fit, and portfolio celebrity-consumer fit are three factors that affect a consumer's attitude toward the ad, the endorsed brand, and the purchase intention in the context of multiple celebrity endorsement. Study findings suggest that portfolio-brand fit, portfolio-celebrity fit, and portfolio celebrity-consumer fit positively affect attitudes toward the ad. In addition, as shown in the modified model, covariance among these three variables was found. Practical and theoretical implications were also discussed.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.9 no.2
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• pp.79-89
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• 1999

A quantitative fit test, condensation nuclei counting (Portacount 8025, TSI), was performed concurrently with a banana oil (isoamyl acetate: IAA) qualitative fit test (MSA) to evaluate reliability on IAA QLFT and correlation between two methods. One brands of quarter mask (3M model 7500 medium) was prepared for QLFT with HEPA filter and gas & vapor removing media, i.e., combination cartridge. 110 subjects (65 male, 45 female) were fit tested QNFT and QLFT each three times. For a wearer combination having a FF<10, as determined by CNC QNFT, the point es timate (${\beta}$-error) of the probability of that combination not being rejected by the banana oil QLFT was found to be 0.0 with 95% confidence that this statistic is not expected to exceed 0.15. For a wearer combination having a FF<100, as determined by CNC QNFT, the point estimate of the probability of that combination not being rejected by the banana oil QLFT was found to be 0.07 with 95% confidence that this statistic is not expected to exceed 0.13. The uncertainty associated with each estimate, however, is large due to the small number of study subjects with inadequately fitting respirators.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.1
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• pp.123-135
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• 2021

This study provides basic information for the convenient size selection of T-shirts in an online purchasing environment. The best preferred T-shirts fit was selected among five sizes of T-shirts according to body size group. The subjects were 103 students majoring in clothing. After setting a virtual model with her own body sizes, the subjects chose the best preferred fit among five sizes of T-shirts that included the one suitable to their bust circumference, two smaller T-shirts and two larger T-shirts. As a result, they preferred the fit of larger size T-shirts than body size, but they preferred a different fit by the body characteristic group such as waist height group and hip circumference group. T-shirt length was affected by waist height; in addition, shoulder ease was affected by hip circumference and bust circumference. Therefore waist height and hip circumference should be considerable sizes when consumers choose T-shirts sizes with a preferred fit.

• Proceedings of the Korean Statistical Society Conference
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• 2003.10a
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• pp.179-182
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• 2003

This study describes a new graphical method for assessing and characterizing effect modification by a matching covariate in matched case-control studies. This method to understand effect modification is based on a semiparametric model using a varying coefficient model. The method allows for nonparametric relationships between effect modification and other covariates, or can be useful in suggesting parametric models. This method can be applied to examining effect modification by any ordered categorical or continuous covariates for which cases have been matched with controls. The method applies to effect modification when causality might be reasonably assumed. An example from veterinary medicine is used to demonstrate our approach. The simulation results show that this method, when based on linear, quadratic and nonparametric effect modification, can be more powerful than both a parametric multiplicative model fit and a fully nonparametric generalized additive model fit.

• Korean Parent-Child Health Journal
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• v.17 no.1
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• pp.37-45
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• 2014

Purpose: This study aimed to review measurements of environmental health behavior and assess the construct validity of Environmental Health Engagement Profile (EHEP) through confirmatory factor analysis. Methods: The literature review was performed for selection of measurements. Confirmatory factor analysis with AMOS 19.0 was used for validation of EHEP. Results: The model fitness was not appropriate in the one-factor model; $x^2=91.11$ (df=5, p<.001), Comparative Fit Index (CFI)=8.19, Non Normed Fit Index (NNFI)=6.39, and Root Mean Square Error of Approximation (RMSEA)=0.20. The model fitness was appropriate in the two-factor model; $x^2=3.19$ (df=1, p=.074), CFI=9.95, NNFI= 9.71, RMSEA=0.07. A modification of scale was found to be the most suitable for use in the investigation of environmental health behavior. Conclusion: This study confirms that a two-factor model underlies the concept of environmental health behavior. The review of measurements can help nurses and researchers to assess the environmental health behaviors.

• Culinary science and hospitality research
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• v.13 no.3
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• pp.80-90
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• 2007

The purpose of this study is to measure the effects of disgust with meat mediating the factors influencing pork consumption. The total of 250 questionnaires were completed. The structural equation model was used to measure the causal effect among constructs. The results demonstrated that the confirmatory factor analysis model provided an excellent model fit. The unrestricted model yielded a significantly better fit to the data than the restricted model. The effects of moral concerns for animals, meat texture and satiety from meat except for color in meat and negative body esteem on disgust with meat were statistically significant. As expected, disgust with meat had a significant effect on pork consumption. Moreover, moral concerns for animals, meat texture and satiety from meat had indirect influence on pork consumption. The overall findings offer strong empirical support for the intuitive notion that improving the level of disgust with meat can increase favorable pork consumption intentions and decrease unfavorable intentions.

• Journal of Biosystems Engineering
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• v.19 no.2
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• pp.138-147
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• 1994

The stress relaxation and creep characteristics of fruits have usually been fit to an exponential expression based on a generalized Maxwell model and Burger's model. It is known that two to three terms in the expansion of those models are necessary to obtain a satisfactory fit to the rheological characteristics of fruits. Since four to six constants appear in the models, it is very difficult to determine their physical meaning according to the experimental conditions and levels. Therefore in order to ease the comparison of data, this study was conducted to develop the linearized rheological model of the fruit from the previous studies of stress relaxation and creep characteristics of fruits. Stress relaxation and creep characteristics were able to normalize and presented in the linear form of $t/S(t)=K_1+k_2t$ and $t/C(t)={K_1}^{\prime}+{K_2}^{\prime}t$, respectively. It was possible to compare the effects of experimental conditions and levels much easier from the linearized models developed in this study than from the generalized Maxwell model and Burger's model.

• Culinary science and hospitality research
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• v.13 no.2
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• pp.163-173
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• 2007

The purpose of this study is to measure the effects of behavioral intention. A total of 273 questionnaires were completed. The equation model was used to measure the causal effect. The results demonstrated that the confirmatory factor analysis model provided an excellent model fit. The comprehensive model yielded a significantly better fit to the data and accounted for a greater share of the variance in behavioral intentions than the five competing models. The effects of satisfaction, perceived value and service quality on behavioral intention were statistically significant. As expected, service quality and value had significant effects on satisfaction. Service quality and perceived sacrifice had significant effects on value. Moreover, service quality and value perceptions had an indirect influence on behavioral intentions. The overall findings offer strong empirical support for the intuitive notion that improving service quality can increase favorable behavioral intentions and decrease unfavorable intentions.