We conducted an initial evaluation of the effectiveness of the application of the model of capacity building for early diagnosis and treatment with PCI in STEMI patients in Nghe An to contribute to solving the problems and to be able to replicate the model. STEMI patients received PCI from 7/2018 - 8/2020 at Nghe An General Hospital. Retrospective and prospective cross-sectional study, intervention with comparison before and after intervention included 280 patients, mean age 71.9 ± 14.59 (years); men accounted for 69.3%. After implementing the model, the number of patients increased by 135%, the time of the door - the ball decreased (71.3 ± 71.8 compared to 152.29 ± 167.3 minutes), the length of hospital stays, and the mortality rate decreased significantly.

This study aims to discover the relationship between CMA Techniques and Supply Chain Performance at logistics enterprises in Vietnam. Based on qualitative research methods combined with quantitative research, the survey subjects were 300 accounting staff and managers of large logistics enterprises in Vietnam. Qualitative research is used to summarize the business situation of the companies, build research models and hypotheses based on literature review and get opinions from the managers and accountants about the quality of the questionnaire. The study has developed a scale to evaluate the Supply Chain Performance of the businesses according to the Balanced Scorecard model. Quantitative research is used to measure and explain the relationship between factors in the model using SPSS and AMOS tools. The results of the linear structural model show that CMA Techniques have a positive impact on the Supply Chain Performance of logistics businesses in Vietnam. This study also demonstrates that CMA Techniques have a positive impact on Financial Performance, Internal Business Process, Learning and Growth, Customer Perspectives of the businesses. Based on these findings, the author proposes recommendations for governments and the companies to improve the effectiveness of CMA Techniques, thereby improving their Supply Chain Performance.

This article examines the factors affecting the demand for “Made in Vietnam” electric cars. The research results 6 main factors affecting the demand for “Made in Vietnam” electric cars including (1) Prices of “Made in Vietnam” electric cars; (2) Consumer income; (3) Consumer taste; (4) Price of related goods (including substitutes and complementary goods); (5) Market expectations for “Made in Vietnam” electric cars; (6) Policy institutions and consumers’ psychology towards environmentally friendly products. On that basis, the research team used Eviews8 software to test the impact of price factors and related commodity prices on the quantity and demand of electric cars. The results also indicate that when the price of “Made in Vietnam” electric cars increases by 1%, the quantity demanded for “Made in Vietnam” electric cars decreases by 1.39%; When income increases to 1%, consumers will be willing to save 0.26% to buy an electric car. If the price of substitute goods increases by 1%, the demand for “Made in Vietnam” electric cars will increase by 1.91%, and if the price of complementary goods increases by 1%, the demand for “Made in Vietnam” electric cars will decrease by 3.12%. From the results obtained, the research team has some recommendations to stimulate demand for “Made in Vietnam” electric cars, a product with many advantages in the green fuel era.

In this work, a mixed-integer linear programming model is formulated to allocate the appropriate orders to the right suppliers for recyclable raw materials. We modify the previous model for the supplier selection and order allocation problem for stochastic demand to cope with the supply risks of recyclable raw materials such as insufficient supply quantity, defective rate, and late delivery. The optimal solution of the mathematical model is the benchmark for small-sized problems. Then, a hybrid meta-heuristic of Particles Swarm Optimization and Grey Wolf Optimization (PSO-GWO) is proposed to search for the best solution for large-sized problems. A real-life case study of a steel manufacturer with two factories in Vietnam is presented to validate the proposed approach. Some experiments have been tested to confirm the performance of the hybrid PSO-GWO approach.

Due to the advances in wireless network environments, consumers/end-user behaviors continue to expand in cyberspace. Similarly, university students (i.e. universities’ consumers) can easily shift from one university to another. In recent years, decision-makers in educational organizations have faced multi-criteria decision making (MCDM) problems in e-service adoption in order to improve quality standards and maintain students’ retention in highly competitive education environments. Generally, many required criteria in MCDM cannot be evaluated accurately since accurate data cannot be obtained from the decision makers’ assessments. Thus, this research aims to propose a decision-making model for identifying the factors that highly impact on e-service adoption in educational organizations. This new model combined the fuzzy Decision MAking Trial and Evaluation Laboratory (fuzzy DEMATEL) and fuzzy Techniques for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) to weight the interactions among the factors which were defined from a comprehensive review of literature and to determine the relative importance of these factors. The findings from our new proposed model: fuzzy DEMATEL-TOPSIS showed that environmental factors are the most important for effective e-service adoption among educational organizations in India. The proposed decision making model could guide educational organizations to improve their decisions related to technology adoption in their organizations. The conclusions and practical insights gleaned from this research could also hopefully be useful to school authorities in assisting with the adoption, acceptance, and usage of e-services.

The technological revolution has been taking place and rapidly changing many activities in social life, and especially in businesses. The benefits of the technological revolution led to changes in policies for businesses and therefore require businesses to change to adapt. In operations, choosing appropriate policies plays a decisive role in the development of enterprises in production and business, optimizing production activities and dominating the market. Conducting a survey of 310 typical enterprises in Vietnam with stable production and business activities, using estimated regression analysis via SPSS software, the regression results show that the factors that influence the decision of the policy choices are: external groups, administrator influence, employee quality, and legal environment.

This study investigated the relationship between information technology, logistics service quality, and perceived performances. Data collected from an online survey through questionnaires was sent to 470 customers who have been using logistics services in Vietnam and 458 valid responses were received. This study discovered that innovation capability has a positive impact on personal contact quality, order fulfillment, information quality and social responsibility. Personal contact quality, order fulfillment, information quality and social responsibility positively affect the customer satisfaction, while customer satisfaction positively affects perceived performances. This study provides insights into the importance of customer satisfaction and perceived performances of customers in the logistics industry and highlights the need for logistics companies to prioritize customer satisfaction and improve their overall performance as well as their competitiveness.

In the world, the video game industry has really exploded until about 2000, and since then has achieved great strides, becoming one of the leading forms of the entertainment industry, at least in terms of revenue. The main purpose of this paper is to examine the consumer behavior in the case of video games with three objectives: identify the factors affecting customer satisfaction for video games; analyze these factors to understand how they affect consumer behavior and propose some recommendations to improve the customer satisfaction for video games. Data was collected from 205 Vietnamese gamers addressing the variables of individual, psychological, cultural, and social factors. Regression analysis found that all four factors positively affect consumer behavior, in terms of customer satisfaction, especially cultural factors. The findings of this research analyzed the theoretical foundations of the theory of behavior, based on which investigated the study of consumer behavior of video game services of players in Vietnam by market research, analyze data, thereby helping businesses understand the psychological response, consumer behavior of customers, and can devise appropriate strategies.

This study aims to understand and test the factors influencing the effectiveness of learning and teaching political economy among Vietnamese universities. Over 1500 students from different majors and different school years have taken part in this study. The data collected from questionnaires was analyzed by SPSS version 2016 and EVIEW 10. From this study, it can be said that learning motivations and teaching methods are the most important factors driving the success of teaching and learning the political economy. Furthermore, males seem to be more interested in studying this subject and getting a higher GPA compared to females. Students from higher school-year, by contrast, have lower levels of interest in studying this module, leading to the lower effectiveness in teaching and learning this module. Finally, while teaching methods and teaching quality are positively correlated with the dependent variable, the administration service and infrastructure negatively influence the teaching and learning objectives.

During the last few years, global fast fashion retailers have been penetrating Asian emerging markets and Vietnam is not an exception. This study explores both external and internal factors, contributing to the fashion-oriented impulse buying of Vietnamese millennials and then investigates the impact of these determinants on fashion-oriented impulse purchase. Both qualitative and quantitative approaches were conducted in the empirical study. It is found that emotion and hedonic value along with fashion involvement, sensory cues and in-store promotion respectively influence fast-fashion oriented impulse purchase. These findings help fast fashion retailers understand the impulse buying behavior of young Vietnamese consumers so that they can effectively elaborate retailing-mix strategy to boost the sales and thus sustainably grow the business.