The cardiac output and stroke volume of a healthy person was estimated using a 3D fluid-structure interaction (FSI) simulation coupled with an echocardiogram Doppler (echo-Doppler) during exercising and resting. The geometry, dimensions, and blood flow through the aortic valve were measured using the echo-Doppler. A 3D FSI simulation was modeled using an arbitrary Lagrangian-Eulerian mesh. The 3D FSI cardiac output and stroke volume results were 15.4% lower than Doppler results when brachial pressures applied with differences between brachial, central, and left ventricular pressures. While without considering these brachial pressures differences, the discrepancy between the FSI cardiac output and stroke volume results with Doppler increased to 22.3% and 26.2%, respectively. Eventually, the comparisons of the 3D FSI results and clinical measurements demonstrated that numerical methods can be a potential computational tool to estimate cardiac output and stroke volume for different heart rates when they coupled with the clinical measurements.

Cracks are one of the main causes of structural failure and they develop in the structures due to various reasons such as fatigue, temperature variation, excessive load, cyclic load, environmental effects, impact loading etc. Thus, structural health monitoring is necessary to avoid risks, damages and failures. So, in order to avoid an extensive failure or accident, the early prognosis of crack in structures is necessary. Visual inspection and some non-destructive testing (NDT) methods for detection of crack are difficult as it requires time, expenses and are quite inefficient. So the alternative methods are motivated to be developed. In this study, vibration analysis, finite element analysis (FEA) and an alternative way which is artificial neural network (ANN) is used to predict, detect and identify the damages in structures. It is found that the theoretical, experimental, finite element analysis and artificial neural network have good accuracy in predicting the crack characteristics.

This study aims to shed light on the way customers determine their utilization of international payment services with blockchain applications. The primary data is collected from the 373 individuals who frequently use the international payment services in Vietnam. We apply the combination of TAM, UTAUT, and ISS models to test the determinants of the Intention to use International payment services at Commercial banks applying Blockchain. These determinants are Quality of System, Quality of Service, Quality of Information, Perceivable usefulness, Convenient usefulness, and Social influence. The research results show that (i) All of the above factors are positively associated with customers’ intention to use international payment services in Vietnamese banks which implement blockchain; (ii) The quality of information has the strongest positive impact on the customer's intended use. It refers that the international payment services in banks should be safe, accurate and timely; (iii) Differently from the hypothesis, the social influence indicator is positively related to the customer's intention to use the service, affirming the potential interests of customers on blockchain if applying successfully in banks; (iv) Although current customers have not paid much attention whether banks apply blockchain in international payment or not, they have taken concentration on fundamental risks, costs, and convenience of the services. This signal is consistent with the fact that only 2/46 commercial banks and 49 foreign bank branches in Vietnam provide international payment service with blockchain application nowadays.

In recent years, one of the goals of any company is to increase overall production and process reliability. Hereupon supply chain reliability has been gaining growing attention and provides a technical framework for quantifying supply chain risks and uncertainties. In this paper, supply chain reliability was investigated in a two-stage stochastic programming model to design reliable closed-loop green four-echelon forward/backward supply chain networks. The purpose of this model was to maximize the total reliability of the supply chain based on the structural reliability theory. Our proposed model also minimized the cost of the supply chain by definition of recycling centres and the cost of penalizing unauthorized carbon emission and damages. The model optimized the locations of factories, warehouses, and recycling centres considering stochastic modes for demands and carbon price, as well as the flow between different sectors and the optimal orders. As the proposed model was a mixed-integer nonlinear problem, both e-constraint method and the metaheuristic algorithm (NSGA-II) were used in different scales and the sensitivity analysis was performed for critical parameters.

Supply chain management (SCM) plays a major role in allowing manufacturing companies to achieve competitive advantage. However, only few studies have been investigated in manufacturing industry, particularly on the relationship between SCM drivers and competitive advantage. Therefore, the objective of this study is to explore the impact of supply chain management drivers on competitive advantage in Vietnamese manufacturing companies. By adopting the exploratory factor analysis (EFA), a multiple regression analysis, the author finds out that the SCM drivers including facilities, inventory, transportation, information, sourcing and pricing are strongly related to competitive advantage in the manufacturing. The results contribute to the current literature on supply chain and they are essential for supply chain in manufacturing industry by acknowledging the influence of SCM drivers on competitive advantage.

The objective of the study is to assess the impact of green supply chain management practices on the financial and non-financial efficiency of tourism enterprises in Hanoi, Vietnam. The study was conducted on 150 businesses in the tourism business directory of the Vietnam Tourism Association. The data collected was analyzed using SPSS and Smart PLS software and the results show that all the hypotheses were supported. Practicing green supply chain management in the tourism industry increases the company's competitive advantage, improves corporate reputation, especially improve environmental performance. While competitive advantage, good reputation and good environmental performance improve financial performance of these tourism enterprises. Finally, three mediate variables; namely competitive advantage, corporate reputation and environmental performance play a full mediate role in the relationship between green supply chain management and financial performance.

Information systems are essential resources for business organizations. Besides, user information satisfaction will have an impact on service quality. This research used a Myerscough study, which combined user information satisfaction and SERVQUAL instruments, which was to measure the quality of information system services and investigated the correlation between the quality of information system service and user satisfaction. The survey was conducted on traditional Batik and textile artisans in Central Java, Indonesia. The results of this research reported a model that is slightly in accordance with previous studies. The only variable, which influenced the quality of information system services through SERVQUAL was empathy. However, information system user satisfaction was proven to be affected by the quality of information system services. This study also recommends further research on better instruments for assessing the quality of information system services.

The study aims to identify the impact of information technology on the distribution of services of tourist institutions in the city of Al-Kharj in the Kingdom of Saudi Arabia. The survey was concentrated on a number of institutions represented in hotels, restaurants and travel and tourism agencies. The results indicate that the information technology had no meaningful effect on the distribution of tourism services in Al-Kharj. A set of recommendations was also presented to tourism organizations represented in the image of using social media to distribute tourism services as well as using and activating the websites of tourist institutions themselves when making reservations for their services and the necessity of activating and using electronic payment methods.

Technology transfer, collaboration, and co-operation in the R&D innovation increase their importance when firms integrate into the world economy, especially along the global supply chain. By using a specially designed sample of 3,253 Vietnamese young small and mediumsized enterprises in 2010-2013, the article examines the impact of technology transfer and R&D collaboration and co-operation on a firm’s R&D innovation input, and innovation output, along the supply chain. The estimation results indicate that technology transfer collaboration and co-operation are complementary during the innovation process, initiating the application of innovation both in terms of input and output. In addition, R&D collaboration and co-operation are complementary in enhancing the innovation output.

The objective of this paper is to assess the impact of green supply chain management on global collaboration capability and firm performance of Vietnamese enterprises. The study is performed on 890 enterprises in 8 economic sectors of Vietnam. After a period of 6 month of data collection, the analysis results show that green supply chain management had a positive impact on global collaboration capability. At the same time, green supply chain management had a positive impact on firm performance. Finally, global collaboration capability had a positive impact on firm performance. However, according to previous studies, the scale of enterprises size had a statistically significant moderate role in the relationship between green supply chain management and firm performance, but in the context of Vietnamese enterprises, the role moderate of size is not statistically significant.