Efecto de los TLC de nueva generación en la innovación de productos sostenibles: evidencia empírica de empresas textiles vietnamitas quecotizan en bolsa

Introduction: The covid-19 pandemic has significantly changed consumption habits, with by cutting unnecessary spending on fashion products, and focusing on sustainable products. Therefore, greener textile innovation is currently a rapidly growing trend, bringing new sales and flexible production capabilities. The article presents impact of new generation FTA like EVFTA, CPTPP on sustainable textile product innovation. Problem: Greener production is dominant in several export industries. After the Covid-19 pandemic shifting from fast fashion to sustainable fashion is more and more changing. Objective: The aim of this study is to examine impact directly as well as indirectly the relationship between FTA expectation on SPIC via 2 mediating variable such as environmental regulation and CEO’s perception. Methodology: The study is exploratory research, it was modeled using PLS-SEM to test the relationships in the model. Results: Both Environment Regulation and CEO\u27s perception play an important role as partial mediation in the relationship between FTA expectation and sustainable product innovation capability. Conclusion: This project seeks to generate a change in the behavior of the use towards efficiency and modification of user practices to favor the sustainability standard of the textile and garment firm. Originality: Through this research, integrated and sustainable textile and garment management strategies are formulated for green marketing strategies in Vietnam. Limitations: The lack of information provided by the municipality and access to the sampling points.Introducción: Este documento es el producto de la investigación “Efecto de los TLC de nueva generación en la innovación de productos sostenibles: evidencia empírica de empresas textiles cotizadas en Vietnam” desarrollada en la Universidad de Thuongmai (TMU) y la Universidad de Industria de Hanoi (HaUI) entre 2021 y 2023. La pandemia de COVID-19 ha cambiado significativamente los hábitos de consumo hacia la reducción de gastos innecesarios en productos de moda y centrándose en productos sostenibles. Por lo tanto, la innovación textil más ecológica es actualmente una tendencia de rápido crecimiento, que genera nuevas ventas y capacidades de producción flexibles. El artículo presenta los impactos de los acuerdos de libre comercio (TLC) de nueva generación como el Acuerdo de Libre Comercio entre la Unión Europea y Vietnam (EVFTA) y la Asociación Transpacífica Integral y Progresista (CPTPP) en la innovación de productos textiles sostenibles. Problema: La producción más ecológica es dominante en varias industrias de exportación. Después de la pandemia de COVID-19, el cambio de la moda rápida a la moda sostenible es cada vez más urgente. Objetivo: El objetivo de este estudio es examinar los impactos directos e indirectos de las expectativas del FTA en la capacidad de innovación de productos sostenibles (SPIC) a través de dos variables mediadoras, como las regulaciones ambientales y la percepción del CEO. Metodología: El estudio involucra una investigación exploratoria, utilizando PLS-SEM para probar las relaciones en el modelo. Resultados: Tanto la regulación ambiental como la percepción del CEO juegan un papel importante como mediación parcial en la relación entre la expectativa de TLC y la capacidad de innovación de productos sostenibles.  

Social Resources Mobilization for General Education Development: A Case Study for Secondary Schools in Ho Chi Minh City, Vietnam

The mobilization of social resources for educational development in schools is considered an important demonstration of the roles and responsibilities of parents and the community for the cause of education. This paper describes the frequency and efficiency of nine categories of social resources mobilization used in secondary schools in the South of Vietnam. The research team identified the reasons for and methods by which the mobilization of social resources takes place in six secondary schools in Southern Vietnam. We combined a questionnaire, completed by 202 school teachers and school managers, with in-depth interviews, observation and document analysis. The results showed high levels of both implementation and efficiency (scale reliability Cronbach’s alpha 0.93 and 0.92) of the mobilization of social resources, revealing a high interest in and engagement with social resources mobilization by social educational forces. Based on those results, we make a number of suggestions for improving the efficiency of this work, particularly in the South of Vietnam in reality

Identify aerodynamic derivatives of the airplane attitude channel using a spiking neural network

The paper proposes a method for identifying aerodynamic coefficient derivatives of aircraft attitude channel using spiking neural network (SNN) and Gauss-Newton algorithm based on data obtained from actual flights. Using SNN combination with Gauss-Newton iterative calculation algorithm allows the identification of aerodynamic coefficient derivatives in a nonlinear model for aerodynamic parameters with higher accuracy and faster calculation time. The paper proposes an algorithm to train the SNN multi-layer network by Normalized Spiking Error Back Propagation (NSEBP), in which, in the forward propagation period, the time of output spikes is calculating by solving quadratic equations instead of detection by traditional methods. The phase of propagation of errors backward uses the step-by-step calculation instead of the conventional gradient calculation method. The identification results are compared with the results when using the RBN network to prove the algorithm efficienc

An Extended RFM Model for Customer Behaviour and Demographic Analysis in Retail Industry

Background: Customer segmentation has become one of the most innovative ways which help businesses adopt appropriate marketing campaigns and reach targeted customers. The RFM model and machine learning combination have been widely applied in various areas. Motivations: With the rapid increase of transactional data, the RFM model can accurately segment customers and provide deeper insights into customers’ purchasing behaviour. However, the traditional RFM model is limited to 3 variables, Recency, Frequency and Monetary, without revealing segments based on demographic features. Meanwhile, the contribution of demographic characteristics to marketing strategies is extremely important. Methods/Approach: The article proposed an extended RFMD model (D-Demographic) with a combination of behavioural and demographic variables. Customer segmentation can be performed effectively using the RFMD model, K-Means, and K-Prototype algorithms. Results: The extended model is applied to the retail dataset, and the experimental result shows 5 clusters with different features. The effectiveness of the new model is measured by the Adjusted Rand Index and Adjusted Mutual Information. Furthermore, we use Cohort analysis to analyse customer retention rates and recommend marketing strategies for each segment. Conclusions: According to the evaluation, the proposed RMFD model was deployed with stable results created by two clustering algorithms. Businesses can apply this model to deeply understand customer behaviour with their demographics and launch efficient campaigns

Improving Geopolymer Characteristics with Addition of Poly-Vinyl Alcohol (PVA) Fibers

This paper presents the benefits of PVA fibers in improving the mechanical properties of class F fly-ash-based geopolymer concrete. The activator used in the geopolymer was 8M sodium hydroxide (NaOH) and sodium silicate (Na2SiO3), with a mass ratio of Na2SiO3 to NaOH varied from 1.5 to 2.5. Cylindrical specimens with a diameter of 100 mm and a height of 200 mm were prepared for mechanical strength tests. The PVA fibers in the geopolymers were fixed at 0.4%, 0.6%, and 0.8% by total volume. Some mechanical tests were carried out, including compression, splitting, direct tensile and elastic modulus tests. It was found that the mixture with a ratio of alkalis of 1.5 and the PVA fiber content of 0.4% had the best workability. The highest compressive strength was obtained in a mixture with alkali activator ratios of 1.5 and 2.0, and with 0.6% fiber addition. The ratio of the tensile (and splitting-tensile) strength to compressive strength was found to increase with the certain amount of PVA fibers and the ratio of the alkali activators. The workability issue and fiber direction in the concrete were the dominant factors influencing the properties of geopolymer concrete

Study on anticorrosion properties of epoxy primers on steel.

Epoxy resin DER 671X75 was reinforced by nanoclay cloisite 30B with content of 2% and primer coatings based on epoxy resin DER 671X75 were formed with pigments, fillers. Epoxy coating  films were exposed by electrochemical method in NaCl 3.5 % solution in 28 days and salt spray accelerated tester in 330 hrs. The results show that nanoclay cloisite 30B are improved anticorrosion properties of primer coatings based on epoxy resin DER671X75. Keywords. Epoxy primer coating, nanoclay cloisite 30B, epoxy resin DER 671X75, electrochemical, anticorrosion properties steel

Gravity terrain correction for mainland territory of Vietnam

Terrain corrections for gravity data are a critical concern in rugged topography, because the magnitude of the corrections may be largely relative to the anomalies of interest. That is also important to determine the inner and outer radii beyond which the terrain effect can be neglected. Classical methods such as Lucaptrenco, Beriozkin and Prisivanco are indeed too slow with radius correction and are not extended while methods based on the Nagy’s and Kane’s are usually too approximate for the required accuracy. In order to achieve 0.1 mGal accuracy in terrain correction for mainland territory of Vietnam and reduce the computing time, the best inner and outer radii for terrain correction computation are 2 km and 70 km respectively. The results show that in nearly a half of the Vietnam territory, the terrain correction values ≥ 10 mGal, the corrections are smaller in the plain areas (less than 2 mGal) and higher in the mountainous region, in particular the correction reaches approximately 21 mGal in some locations of northern mountainous region. The complete Bouguer gravity map of mainland territory of Vietnam is reproduced based on the full terrain correction introduced in this paper

Factors affecting e-learning based cloud computing acceptance: an empirical study at Vietnamese universities

E-learning has been a trend of higher education. Accounting students need to know how to apply flexible learning methods as they are required to study and practise in a technological environment. Nevertheless, studies on e-learning based on cloud computing for accounting students in Vietnam are still limited. This study aims to find out factors affecting the behavioral intention, the direct influence of habits, the beneficiary motivation, and the favorable conditions for the acceptance of using e- learning based on cloud computing. By using data collected from a survey of 696 students and applying the theory of adopting extended UTAUT model, the estimation results from the linear structure models show that there are six determinants of accounting students’ behavioral intention, in which the performance expectancy has the strongest impact, followed by effort expectancy, price value, facilitating conditions, hedonic motivation, and social influence. Additionally, our findings suggest that despite not affecting the behavioral intention to use e-learning, habits directly impact the application. The hedonic motivation and the facilitating conditions are found to have direct and significant impacts on the use of e-learning based on cloud computing