• The Research Journal of the Costume Culture
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• v.27 no.2
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• pp.181-192
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• 2019

The growth of cheap, industrial, mass-production-so-called "fast fashion"-has led to dramatic increases in levels of consumption. Inexpensive products tend to foster unsustainable consumption behaviors, which negatively impact the environment and increase pressure to obtain goods at lower and lower prices; this, in turn, has the competitive effect of decreasing wages. This study focused on the concept of socially responsible consciousness in relation to fashion products. Environmental and labor issue concerns were employed as major variables. Empirical data were collected from males and females, between the ages of 10 and 50. Demographic differences were found in SR consciousness. For example, participants in their 10s, 40s, and 50s had higher levels of SR consciousness than those in their 20s and 30s. In addition, consumers' levels of environmental and labor issue concerns had varying effects on the criteria they used to select clothing. Product category type was also an influential factor. Moreover, the analysis showed that SR consciousness was less important in the apparel industry than in the food sector. The study also found an attitude-behavior link in relation to the concept of SR consciousness. The link was stronger for environmental concerns than for labor issue concerns. This study aimed to develop a better understanding of current customers' characteristics and levels of SR consciousness.

• Knowledge Management Research
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• v.19 no.4
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• pp.77-98
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• 2018

The purpose of this paper is examine the existing relations structure and IT use for collaboration activities on supply chain and their impacts on the performance of supply chain. This study made a design of the research model that was further constructed by integrating the relationship structure, IT exploration, IT exploitation, supply chain collaboration, absorptive capacity, and knowledge creation, efficiency and efficient. The survey data were collected from 378 companies, where firms are facing increased global competitive pressure and heavily utilize SCM to retain their competitive advantages. The authors validated a measurement model with structural equation modelling and tested eight hypotheses. As a result, the absorptive capacity was closely related to trust, IT exploitation and IT exploration, but supply chain collaboration. Examining the effect of supply chain collaboration with two types of absorptive capacity, the authors found positive effect on potential absorptive capacity, but a non-significant effect on realized absorptive capacity. This finding suggests that the improving performance of supply chain not only is related to the relations structure and IT use on supply chain, but also is closely related to the absorptive capacity.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.8_spc
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• pp.1275-1283
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• 2019

Goats (Capra hircus) were domesticated during the late Neolithic, approximately 10,500 years ago, and humans exerted minor selection pressure until fairly recently. Probably the largest genetic change occurring over the millennia happened via natural selection and random genetic drift, the latter causing genes to be fixed in small and isolated populations. Recent human-influenced genetic changes have occurred through biometrics and genomics. For the most part, biometrics has concentrated upon the refining of estimates of heritabilities and genetic correlations. Heritabilities are instrumental in the calculation of estimated breeding values and genetic correlations are necessary in the construction of selection indices that account for changes in multiple traits under selection at one time. Early genomic studies focused upon microsatellite markers, which are short tandem repeats of nucleic acids and which are detected using polymerase chain reaction primers flanking the microsatellite. Microsatellite markers have been very important in parentage verification, which can impact genetic progress. Additionally, microsatellite markers have been a useful tool in assessing genetic diversity between and among breeds, which is important in the conservation of minor breeds. Single nucleotide polymorphisms are a new genomic tool that have refined classical BLUP methodology (biometric) to provide more accurate genomic estimated breeding values, provided a large reference population is available.

• International Journal of Naval Architecture and Ocean Engineering
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• v.11 no.1
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• pp.530-541
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• 2019

To improve our current understanding of tsunami-like solitary waves interacting with a row of vertical slotted piles on a sloping beach, a 3D numerical wave tank based on the CFD tool $OpenFOAM^{(R)}$ was developed in this study. The Navier-Stokes equations were employed to solve the two-phase incompressible flow, combining with an improved VOF method to track the free surface and a LES model to resolve the turbulence. The numerical model was firstly validated by our laboratory measurements of wave, flow and dynamic pressure around both a row of piles and a single pile on a slope subjected to solitary waves. Subsequently, a series of numerical experiments were conducted to analyze the breaking wave force in view of varying incident wave heights, offshore water depths, spaces between adjacent piles and beach slopes. Finally, a slamming coefficient was discussed to account for the breaking wave force impacting on the piles.

• Nuclear Engineering and Technology
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• v.51 no.1
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• pp.73-83
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• 2019

It is important to clarify the mechanisms of molten-fuel-pool sloshing behavior that might be encountered during a core disruptive accident of sodium-cooled fast reactors. In this study, motivated by acquiring some evidence for understanding the characteristics of this behavior at more realistic conditions, a number of experiments are newly performed by injecting nitrogen gas into a water pool with the accumulation of solid particles. To achieve comprehensive understanding, various parameters including particle bed height, particle size, density, shape, gas pressure along with the gas-injection duration, were employed. It is found that due to the different interaction mechanisms between solid particles and the gas bubble injected, three kinds of regimes, termed respectively as the bubble-impulsion dominant regime, the transitional regime and the bed-inertia dominant regime, could be identified. The performed analyses also suggest that under present conditions, all our experimental parameters employed can have noticeable impact on the regime transition and resultant sloshing intensity (e.g. maximum elevation of water level at pool peripheries). Knowledge and fundamental data from this work will be used for the future verifications of fast reactor severe accident codes in China.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.91-112
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• 2019

The IoT environment has led to explosive growth of existing enterprise data, and how to utilize such big data is becoming an important issue in the management field. In this paper, major factors affecting the decisions of companies to utilize big data have been studied. And also, the effect of big data utilization on the management quality is studied empirically. During this process, we have studied the difference according to the award of Korean national quality award. As a result of the study, we confirmed that the five factors such as cost from technology, organization and environment perspective, compatibility, company size, chief officer support, and competitor pressure are key factors influencing big data utilization. Also, it was confirmed that the use of big data for management activities has an important influence on the six management quality factors based on MBNQA, and that the management quality level of Korean national quality award companies is relatively high. This paper provides practical implications for companies' use of big data because it demonstrates for the first time that big data utilization has an impact on management quality improvement.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.57 no.3
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• pp.256-263
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• 2021

In this study, blending oils of diesel oil and butanol were used as fuel oil for diesel engine to measure combustion pressure, fuel consumption, air ratio and exhaust gas emission due to various operating conditions such as engine revolution and torque. Using these data, the results of analyzing the engine performance, combustion characteristics and exhaust emission characteristics such as NOx (nitrogen oxides), CO₂ (carbon dioxide), CO (carbon monoxide) and soot were as follows. The fuel conversion efficiency at each load was highest when driven in the engine revolution determined by a fixed pitch propeller law. Except 30% butanol blending oil, fuel conversion efficiency of the other fuel oils increased as the load increased. Compared to diesel oil, using 10% and 20% butanol blending oil as fuel oil was advantageous in terms of thermal efficiency, but it did not have a significant impact on the reduction of exhaust gas emissions. On the other hand, future research is needed on the results of the 20% butanol blending oil showing lower or similar levels of smoke concentration and carbon monoxide emission rate other than those types of diesel oil.

• Smart Structures and Systems
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• v.24 no.4
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• pp.525-539
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• 2019

In this study, vibration characteristics of a gravity-based caisson-foundation breakwater system are investigated for ambient and geometric parameters such as various waves, sea levels, and foundation conditions. To achieve the objective, following approaches are implemented. Firstly, operational modal analysis methods are selected to identify vibration modes from output-only dynamic responses. Secondly, a finite element model of an existing caisson-foundation breakwater system is established by using a structural analysis program, ANSYS. Thirdly, forced vibration analyses are performed on the caisson-foundation system for two types of external forces such as controlled impacts and wave-induced dynamic pressures. For the ideal impact, the wave force is converted to a triangular impulse function. For the wave flow, the wave pressure acting on the system is obtained from wave field analysis. Fourthly, vibration modes of the caisson-foundation system are identified from the forced vibration responses by combined use of the operational modal analysis methods. Finally, vibration characteristics of the caisson-foundation system are investigated under various waves, sea levels, and foundations. Relative effects of foundation conditions on vibration characteristics are distinguished from that induced by waves and sea levels.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.64-64
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• 2016

하천은 인간에게 용수의 이용 및 하천호안의 휴식처로써의 이용을 통해 직접적인 영향을 주고, 하천구조물의 심미적 영향, 랜드마크로써의 역할을 통해 간접적인 영향을 준다. 또한, 하천은 하천생태계에 서식하는 동 식물에게 영향을 준다. 그러나 하천유사로 인해 통수능이 감소하고, 하천구조물 주변에 침식을 야기할 뿐만 아니라, 댐과 저수지에 유사의 퇴적으로 저수용량의 감소시킨다. 그러므로 이를 예측하는 것은 경제적, 환경적으로 중요하다. 하상변동의 모의를 위해 기존의 2차원 모형은 만곡흐름에서 유동의 helical flow를 고려하지 않아 예측이 부정확하였다. 본 연구에서는 천수방정식을 이용한 하상변동 수치모의에 helical flow의 영향을 고려하였다. 하천과 같은 천수영역에서의 흐름 및 하상변동을 해석하기 위하여 수심평균 된 Navier-Stokes equations인 천수방정식을 이용하였다. 지배방정식은 곡선 좌표계에서 유한체적법으로 차분하였고, 비엇갈림격자를 사용하였다. 지배방정식의 닫힘 문제를 해결하기위해 0-방정식 난류모형을 사용하였고, "time marching" 기법의 적용을 위해 계산단계분할 방법을 이용하였다. 비엇갈림격자의 사용으로 인해 검사체적의 면에서의 유속이 필요하여 pressure-velocity coupling을 사용하여 유속의 진동을 줄였다. 또한, 만곡부의 helical flow를 모의하기위해 helical flow intensity model을 도입하였다. 앞에서 계산한 흐름을 바탕으로 유사량 산정공식과 Exner 방정식을 이용하여 하상변동을 모의하였다. 흐름의 검증, helical flow의 영향에 대한 확인, 하상변동의 적용을 위해 선행연구의 실험이 사용되었다.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.329-338
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• 2021

The mobile payment system has not only changed the payment pattern but also has improved the performance of small and medium-sized enterprises (SMEs) and individuals' quality of life by saving their energy, reducing the risk of taking cash, and enabling them to give more time to businesses and do international business. Besides, with the current advancement in the Internet as well as the digital transformation, SMEs are being forced to adopt mobile payment systems (MPS). The purpose of this study is to investigate the effects of technological-organizational-environmental (TOE) determinants on the adoption of MPS and its impact on SMEs' firm performance operating in Ghana. This research employed a closed-ended questionnaire to collect data from January 2020 - April 2020. This study used a structural equation modeling (SEM) approach using SmartPLS 3.0 for path analysis of 145 responses. The findings of the study include the statistically significant effects of technological (relative advantage and compatibility), organizational (top management support and employees' readiness), and environmental (social influence and competitive pressure) factors on the adoption of MPS. Furthermore, this study also proved the positive and statistically significant effect of MPS on SMEs' performance. This study demonstrated that the TOE factor explains 70% variations in the adoption of MPS.