• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1219-1226
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• 2013

The purpose of this study was aimed to analyze factors affecting on continuous intention to use of Smartphone based on the innovation diffusion theory. Also, by using the demographic characteristics were compared whether the difference in the loyalty on between user group of iOS and Android platform. Predictor factors were selected innovation, convenience, economic cost, social influence, communication channel, compatibility and complexity suggested on the innovation diffusion theory. Participants of this study were 278 Smartphone users in Busan city and Gyeongnam province in accordance with convenience sampling. IBM SPSS Statistics 19 were employed for descriptive statistics, Smart PLS(partial least squares) was employed for confirmatory factor analysis and path analysis of casual relationship among variables and effect. Analytical results show that all paths except path from complexity to the continuous intention to use and loyalty are significant. The comparison loyalty on between user group of iOS and android platform are significant. This study suggests practical and theoretical implications based on the results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.142-145
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• 2017

Users of Smartphone in Korea are using the majority of the economically active population over 99% and experts have seen that they have reached saturation after the initial formation stages. The purpose of this study is to investigate the influencing factors of dominant design attributes on the intention of continuous use of Smartphone users. Predictor factors were selected perceived usefulness and perceived ease of use suggested on extended the technology acceptance model. The concept model was completed by selecting the dominant design attribute as a mediator. Participants of this study were 150 Smartphone users in Busan Gyeongnam and Iksan Jeonbuk province in accordance with convenience sampling. IBM SPSS Statistics 19 were employed for descriptive statistics, Smart PLS (partial least squares) was employed for confirmatory factor analysis and path analysis of casual relationship among variables and effect. Analytical results show that all paths of continue usage intention are significant. This study suggests practical and theoretical implications based on the results.

• 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.

• Journal of the Korean Wood Science and Technology
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• v.48 no.5
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• pp.591-607
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• 2020

This study was aimed to investigate the changes of chemical composition of the volatile organic compounds (VOCs) emitted from red pine needles in the process of needle abscission or senescence. The VOCs in intact, senescent, and litter red pine needle samples were analyzed by headspace-solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC/MS). And then, multivariate statistical interpretation of the processed data sets was conducted to investigate similarities and dissimilarities of the needle samples. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to investigate the dataset structure and discrimination between samples, respectively. From the data preview, the levels of major components of VOCs from needles were not significantly different between needle samples. By PCA investigation, the data reduction according to classification based on the chlorophyll a / chlorophyll b (Ca/Cb) ratio were found to be ideal for differentiating intact, senescent, and litter needles. The following OPLS-DA taking Ca/Cb ratio as y-variables showed that needle samples were well grouped on score plot and had the significant discriminant compounds, respectively. Several compounds had significantly correlated with Ca/Cb ratio in a bivariate correlation analysis. Notably, the litter needles had a higher content of oxidized compounds than the intact needles. In summary, we found that chemical compositions of VOCs between intact, senescent, and litter needles are different each other and several compounds reflect characteristic of needle.

• Korean Journal of Soil Science and Fertilizer
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• v.47 no.4
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• pp.275-283
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• 2014

The ${\gamma}$-oryzanol, ferulic acid esters, which are well-known for their function on cholesterol lowering and prevention of inflammation, diabetes and cancer, are found in the seeds of cereal crops such as rice, corn, wheat and rye. Among them, rice has been reported to contain the highest ferulic acid esters. Since rice cultivation with green manure as a N source is an environmental friendly agricultural practice, it is necessary to identify and quantify as well as evaluate the variations in these compounds in rice samples as affected by different green manure conditions. A total of ten components of ${\gamma}$-oryzanol were isolated and cycloartenyl ferulate, 24-methylenecycloartanyl ferulate, campesteryl ferulate and sitosteryl ferulate were identified as the major components in Korean rice cultivars, 'Unkwang' and 'Hopum'. Comparing the ${\gamma}$-oryzanol contents of these varieties, 'Unkwang' showed clearly similar pattern with conventional type. With the PLS-DA (partial least squares of discriminant analysis) using SIMCA 11.0 ver., the specific pattern and cluster of ${\gamma}$-oryzanol scores with green manure conditions were confirmed, and thus distinguishing green manure effects were possible.

• The Korean Journal of Food And Nutrition
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• v.30 no.4
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• pp.719-727
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• 2017

The objective of this study was to investigate the effect of alcohol content in Makgeolli made with Chinese matrimony vine (M-CMV) on the sensory profile and consumer acceptability. The M-CMVs were prepared with 6, 7, 8, and 9% alcohol content. Descriptive analysis of M-CMV was performed with six trained panelists. Thirteen attributes were generated and their intensities were alcohol content dependent. The consumer acceptance test was conducted with 57 consumers. M-CMV samples with 7% alcohol had the highest acceptance rate (5.8) followed by 6% M-CMV (5.6). Commercial rice Makgeolli (CRM) had the lowest consumer acceptance. Consumers were divided into two groups by clustering analysis. The majority of consumers (n=38) preferred M-CMV and did not like the commercial sample. Only 19 consumers indicated high acceptance ratings for CRM. However, these consumers also preferred 6 and 7% M-CMV. Partial least-squares regression analysis revealed moderate attribute intensities were related to greater consumer acceptability. The optimal alcohol content for the greatest consumer acceptance predicted by linear regression was 6.7%.

• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.458-468
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• 2021

In the context of Sustainable development, China, the world's second-largest apparel market, is also concerned about the environmental impact of fiber waste. Currently, there is a great interest in sustainable fashion in both supply and demand in China. Based on the theory of planned behavior(TPB), the determinants of sustainable fashion consumption(SFC) of Chinese consumers were evaluated in this study: man-nature orientation(MNO) and environmental knowledge(EK) as motivation and perceived online-store accessibility(POA) and perceived money availability(PMA) as barriers. Wenjuanxing, a Chinese professional survey collection agency, conducted an online survey of millennials in Shanghai, China. The final sample size for the survey was 215. Partial least squares structural equation modeling was employed to test the proposed hypotheses. The results indicated that attitudes, subjective norms, and perceived behavioral control significantly affected the purchase intention towards sustainable fashion products. MNO and EK influenced the attitude, whereas EK, POA, and PMA influenced perceived behavioral control. This study contributes to the TPB literature through the examination of four antecedents: MNO, EK, POA, and PMA. The findings provide valuable insights for retailers and markets based on the identification of the motivations and barriers that enhance the purchasing intention of Chinese millennials toward SFC.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.95-111
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• 2021

Recently, many organizations are actively adopting VDI (Virtual Desktop Infrastructure), an IT-based business system, to build a non-face-to-face business environment for smart-work. However, most of the existing research on VDI has focused on the satisfaction of system service quality or the use of IT resources and investment for VDI introduction. However, research on effective management and utilization of factors according to the characteristics of VDI technology is urgently required. This study is an empirical research study on how VDI technology characteristics affect interactions and work performance by identifying differences in utilization factors between general organization members and IT managers, presenting standards for business utilization and management. This study proposed a model and hypothesis that the system technology characteristics for VDI use are mediated by interactions in which users respond to functions appropriate to their work. In order to verify the hypothesis, a questionnaire survey was conducted on 188 people of companies and institutions that have adopted and used VDI through a questionnaire survey. Data analysis was performed with partial least squares (PLS), a structural equation modeling (SEM) technique that uses a component-based approach to estimation. As a result of the empirical analysis, the same environmental function for performing work, N-th security, and remote access function factors for non-face-to-face work have a significant effect on interactivity, and IT managers have an additional significant effect on the management technology characteristics of resource reallocation. Has been shown to affect. The results of this study aim to minimize trial and error due to new introduction by presenting considerations for future VDI introduction through case analysis.

• Journal of the Korean Chemical Society
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• v.65 no.4
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• pp.254-259
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• 2021

The purpose of this work is the development of a method for an effective, less expensive, rapid, and simultaneous determination of three phenolic compounds (caffeic acid, gallic acid, and quercetin) widely present in food resources and known for their antioxidant powers. The method relies on partial least squares (PLS) calibration of UV-visible spectroscopic data. This model was applied to simultaneously determine, the concentrations of caffeic acid (CA), gallic acid (GA), and quercetin (Q) in six herb infusion extracts: basil, chive, laurel, mint, parsley, and thyme. A wavelength range (250-400) nm, and an experimental calibration matrix with 21 samples of ternary mixtures composed of CA (6.0-21.0 mg/L), GA (10.0-35.2 mg/L), and Q (6.4-17.5 mg/L) were chosen. Spectroscopic data were mean-centered before calibration. Two latent variables were determined using the contiguous block cross-validation procedure after calculating the root mean square error cross-validation RMSECV. Other statistic parameters: RMSEP, R², and Recovery (%) were used to determine the predictive ability of the model. The results obtained demonstrated that UV-visible spectrometry and PLS regression were successfully applied to simultaneously quantify the three phenolic compounds in synthetic ternary mixtures. Moreover, the concentrations of CA, GA and Q in herb infusion extracts were easily predicted and found to be 3.918-18.055, 9.014-23.825, and 9.040-13.350 mg/g of dry sample, respectively.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.2
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• pp.113-121
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• 2021

The occurrence mechanisms of heatwave have been conventionally studied at a synoptic scale. However, the implications of precedent droughts on the following up heatwave occurrences have not been elucidated and are important to address the complex causal mechanisms of heatwaves. Therefore, this study evaluated the causality and implication of the seasonally antecedent droughts to summer heatwaves that occurred for 46 years since 1974 using partial least squares-structural equation modeling (PLS-SEM). The resulting contribution of winter (spring and summer) droughts to summer heatwaves for Seoul-Gyeonggi, Gangwon, and Chungcheong provinces were 37 % (29 % and 22 %), 21 % (18 % and 29 %), and 17 % (8 % and 38 %), respectively. This is due to the regional variability of seasonal drought impacts. Furthermore, Gangwon and Chungcheong provinces, which have a higher level of impacts of summer droughts to summer heatwaves, are more likely to be exposed to the compound drought-heatwave damages compared to Seoul-Gyeonggi province, which has relatively a low-level impact of summer drought.