• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.197-205
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• 2021

This study aims to investigate factors influencing customer behavior towards nylon bags and single-use plastics. These factors are environmental protection awareness, health protection awareness, sense of responsibility, expectations, and green marketing. A quantitative method with the use of surveys is deployed to collect data of young people under 30, generating 1650 valid responses. The collected data is then analyzed with SPSS 22, using Cronbach's Alpha and Exploratory Factor Analysis to test the reliability of the model before validating the hypotheses by regression analysis. The study found that the majority of respondents are inclined to use plastic bags, despite their environmental awareness. The results also demonstrate that health consciousness, environmental concerns, self-driven responsibility for the sustainability of young people have a significant impact on their behaviors in using nylon bags and plastic products, whereas expectation and green marketing are confirmed not to be the factors. The study suggests that if green marketing is to gain higher influence, an increase in research and development to support other environmentally friendly packaging would be the right path. Finally, this research proposes some feasible recommendations for the government, which include imposing bolder and more targeted environmental policies on consumers and introducing educational campaigns to raise awareness about minimizing plastic consumption.

• Structural Engineering and Mechanics
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• v.68 no.5
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• pp.591-601
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• 2018

Non-moment beam-to-column connections, which are usually referred to as simple or shear connections, are typically designed to carry only gravity loads in the form of vertical shears. Although in the analysis of structures these connections are usually assumed to be pinned, they may provide a small amount of rotational stiffness due to the typical connection details. This paper investigates the effects of this small rotational restraint of simple beam-to-column connections on the behavior and seismic response of steel braced non-moment resisting frames. Two types of commonly used simple connections with bolted angles, i.e., the Double Web angle Connection (DWC) and Unstiffened Seat angle Connection (USC) are considered for this purpose. In addition to the pinned condition - as a simplified representation of these connections - more accurate semi-rigid models are established and then applied to some frame models subjected to nonlinear pushover and nonlinear time history analyses. Although the use of bracing elements generally reduces the sensitivity of the global structural response to the behavior of connections, the obtained results indicate considerable effects on the local responses. Namely, our results show that consideration of the real behavior of connections is essential in designing the column elements where the pin-connection assumption significantly underestimates design of outer columns of upper stories.

• Journal of Information Technology Applications and Management
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• v.28 no.1
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• pp.13-31
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• 2021

The purpose of this study is to find the factors that influence big data characteristics on decision satisfaction and utilization behavior, analyze the extent of their influence, and derive differences from existing studies. To summarize the results of this study, First, the study found that among the three categories that classify the characteristics of big data, qualitative attributes such as representation, purpose, interpretability, and innovation in the value innovation category greatly enhance decision confidence and decision effectiveness of decision makers who make decisions using big data. Second, the study found that, among the three categories that classify the characteristics of big data, the individuality properties belonging to the social impact category improve decision confidence and decision effectiveness of decision makers who use big data to make decisions. However, collectivity and bias characteristics have been shown to increase decision confidence, but not the effectiveness of decision making. Third, the study found that among the three categories that classify the characteristics of big data, the attributes of inclusiveness, realism, etc. in the integrity category greatly improve decision confidence and decision effectiveness of decision makers who make decisions using big data. Fourth, it was analyzed that using big data in organizational decision making has a positive impact on the behavior of big data users when the decision-making confidence and finally, decision-making effect of decision-makers increases.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.427-436
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• 2022

Ethnocentrism in users plays an important role in predicting user behavior when deciding between imported and domestic goods. The purpose of this study is to look into the influence of ethnocentrism in customer behavior on brand image, perceived value, perceived quality, brand trust, and brand buy intention. Vietnamese customers prefer homegrown brands. The moderate role of consumer ethnocentrism in the conceptual framework emphasizes the country origin of the product is the most important factor. It also demonstrates how the intention of Vietnamese consumers to buy domestic brands is substantially influenced. To test the hypothesis, this article used a quantitative technique utilizing PLS-SEM software. With 917 samples, the study used the quota sampling approach to collect data from students at 10 universities in Ho Chi Minh City. The data suggest that all players have a positive association and that consumer ethnocentrism has a moderate impact in the Vietnamese brand context. Following that, suggestions are made to help Vietnamese firms create and retain their brands in the face of severe competition from global brands in the domestic market. To increase consumer intent in purchasing behavior, the Vietnamese local company needs to establish a strong brand.

• Computers and Concrete
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• v.31 no.1
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• pp.23-32
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• 2023

Reinforced concrete flat slab (RCFS) with columns is a standard gravity floor system for tall buildings in North America. Typically, RCFS-column connections are designed to resist gravity loads, and their contribution to resisting seismic forces is ignored. However, past experimental research has shown that RCFS-column connections have some strength and ductility, which may not be ignored. Advanced numerical models have been developed in the past to determine the nonlinear cyclic behavior of RCFS-column connections. However, these models are either too complicated for nonlinear dynamic analysis of an entire building or not developed to model the behavior of modern RCFS-column connections. This paper proposes a new nonlinear model suitable for modern RCFS-column connections. The numerical model is verified using experimental data of specimens with various material and reinforcement properties. A 40-story RC shear wall building was designed and analyzed to investigate the influence of RCFS on the global response of tall concrete buildings. The seismic responses of the building with and without the RCFS were modelled and compared. The results show that the modelling of RCFS has a significant impact on the inter-story drifts and force demands on both the seismic force-resisting and gravity elements.

• Transactions of the Korean hydrogen and new energy society
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• v.34 no.1
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• pp.47-58
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• 2023

Experimental data conducted by Colson et al. and numerical data conducted in this study were compared through counterflow flames to understand of the characteristic of basic flame about mixture of ammonia/methane. In order to use the suitable numerical mechanism, the validation was performed using total four mechanisms and the Okafor's mechanism showed satisfactory experimental results. The extinction boundary of the stability map could be explained through the effective Lewis number and the trend of LeD. The extinction behavior of the flame was different under the lean and rich symmetric conditions and it was investigated by the major variables, global strain rate (a_g) and mole fraction of ammonia (Ω_NH3).

• Earthquakes and Structures
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• v.24 no.5
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• pp.333-343
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• 2023

Various seismic isolation and reduction devices have been applied to suppress the longitudinal vibration of continuous girder bridges. As representative devices, lead rubber bearing (LRB) and fluid viscous damper (FVD) might suffer from deterioration during the long-term service. This study aims to evaluate the impact of device deterioration on the seismic responses of continuous girder bridges and investigate the seismic behavior of deteriorated LRBs and FVDs. Seismic performance of a simplified bridge model was investigated, and the influence of device deterioration was evaluated by the coefficient of variation method. The contribution of LRB and FVD was assessed by the Sobol global sensitivity analysis method. Finally, the seismic behaviors of deteriorated LRBs and FVDs were discussed. The result shows that (i) the girder-pier relative displacement is the most sensitive to the changes in the deterioration level, (ii) the deterioration of FVD has a greater effect on the structural responses than that of LRB, (iii) FVD plays a major role in energy dissipation with a low degradation level while LRB is more essential in dissipating energy when suffering from high degradation level, (iv) the deteriorated devices are more likely to reach the ultimate state and thus be damaged.

• The Korean Journal of Food & Health Convergence
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• v.10 no.3
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• pp.1-8
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• 2024

The global nutraceuticals market continues to grow due to rising income levels, increasing life expectancy, and a growing interest in personal health. Especially after the COVID-19 pandemic, the market for nutraceuticals has expanded rapidly with positive perceptions driven by increased attention to immune management for disease prevention. However, there is still a lack of research on the relationship between nutraceuticals and consumer behavior. This study aims to provide new insights into the dietary supplement market and help establish marketing strategies by analyzing consumer behavior toward dietary supplements in the post-COVID-19 era, focusing on Generation MZ. An online survey was conducted among consumers who have purchased dietary supplement products to test the hypotheses. The collected data were analyzed for validity and reliability using SPSS and AMOS programs. The results showed that the taste, price, brand, and design of dietary supplements significantly positively affect the satisfaction of MZ consumers. This study provides an in-depth understanding of the mechanisms of consumer behavior toward dietary supplements in the post-COVID-19 era, focusing on Generation MZ. By offering insights into consumers' health concerns and consumption behaviors, this study provides valuable perspectives on the future development of the market and helps companies develop effective strategies to meet consumer needs.

• Structural Monitoring and Maintenance
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• v.10 no.4
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• pp.299-314
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• 2023

Long-gauge carbon fiber line (CFL) sensors have received considerable attention in the past decade. However, there is still a need for an in-depth investigation of their measuring accuracy. This study investigates the accuracy of carbon fiber line sensors to monitor and differentiate the flexural behavior of two beams, one reinforced with steel bars alone and the other reinforced with steel and basalt fiber-reinforced polymer bars. A distributed set of long-gauge carbon fiber line, Fiber Bragg Grating (FBG), and traditional strain gauge sensors was mounted on the tensile concrete surface of the studied beams to compare the results and assess the accuracies of the proposed sensors. The test beams were loaded monotonically under four-point bending loading until failure. Results indicated the importance of using long-gauge sensors in providing useful, accurate, and reliable information regarding global structural behavior, while point sensors are affected by local damage and strain concentrations. Furthermore, long-gauge carbon fiber line sensors demonstrated good agreement with the corresponding Fiber Bragg Grating sensors with acceptable accuracy, thereby exhibiting potential for application in monitoring the health of large-scale structures.

• Korea Real Estate Review
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• v.28 no.1
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• pp.91-104
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• 2018

In this study, the occurrence and degree of herding behavior as a market participant behavior in a housing market were analyzed. For the analysis method, the actual sales price was applied in the CSAD (Cross-sectional Absolute Deviation) model, which has been used the most of late for herding behavior analysis. For the analysis contents, these were subdivided into region, elapsed year, size, and market condition to analyze the regionality and the internal and external factors. For the study results, first, there was no herding behavior in the entire region of Seoul. By region, herding behavior occurred in the downtown, southeast, and northwest regions, which coincided with the results of the precedent study (Ngene et al., 2017). Second, in the market analysis by elapsed year, herding behavior was captured in dilapidated dwellings. By size, herding behavior was observed in small-scale ($60m^2$ or less) apartments and in $85m^2$ or higher and less than $102m^2$ national housing units. Third, during the time of the global financial crisis, herding behavior was not observed in all the regions, whereas when the market situations were in a boom cycle, it was observed in the northwest region. These results suggest that there is a difference from the stock market, where in a period of recession, herding behavior occurs intensively with the expanding fear of incurring losses. This study is significant in that it analyzed the market participant behaviors in the behavioral economic aspects to better understand the abnormal phenomenon in a housing market, and in that it additionally provides a psychological factor - market participant behavior - in market analysis.