RESEARCH ON FACTORS AFFECTING ONLINE SHOPPING INTENTION OF CUSTOMERS: THE EVIDENCE IN VIETNAM

Objective: The research clarifies the relationships among the four key factors: brand reputation, trust, customer service quality, and online shopping intentions.   Theoretical Framework: The research adopted the E-S-QUAL four dimensions to measure e-service quality, customer trust, and purchase intention in virtual environments. The research explores the role of seller reputation in the relationship between trust and online shopping by building a model with four variables, six hypotheses, and 21 observed variables.   Method: The snowball sampling technique was used. Quantitative research was used to evaluate and test the theoretical model with a sample size of N = 395 through the online survey. This study examined the scale through exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM).   Results and Discussion: The results show that the research scales achieve unidirectional reliability, convergent validity, and high discriminant validity. Brand reputation has a positive impact on customer service through trust. Trust has a positive impact on online shopping intention through customer service.   Research Implications: This study only examines the role of brand reputation in the relationship between trust, customer service quality, and online shopping intention. Other important factors that affect this relationship may not be mentioned in the research.   Originality/Value: The article recommends improving Vietnamese consumers' confidence and online shopping intention by offering solutions for consumers, electronic sellers, and related associations and organizations

LMI based antiswing adaptive controller for uncertain overhead cranes

This paper proposes an adaptive anti-sway controller for uncertain overhead cranes. The state-space model of the 2D overhead crane with the system parameter uncertainties is shown firstly. Next, the adaptive controller which can adapt with the system uncertainties and input disturbances is established. The proposed controller has ability to move the trolley to the destination in short time and with small oscillation of the load despite the effect of the uncertainties and disturbances. Moreover, the controller has simple structure so it is easy to execute. Also, the stability of the closed-loop system is analytically proven. The proposed algorithm is verified by using Matlab/Simulink simulation tool. The simulation results show that the presented controller gives better performances (i.e., fast transient response, position tracking, and low swing angle) than the state feedback controller when there exist system parameter variations as well as input disturbances

ENCHANCING THE EFFICIENCY OF HUMAN RESOURCE MANAGEMENT THROUGH A.I

With the rapid development of the Information Technology industry, Artificial Intelligence (AI) and Machine Learning (ML) are becoming the most popular keywords in the modern world. Companies around the world as well as in Vietnam have been finding powerful applications of Artificial Intelligence in their daily operation, especially in human resource management and development. AI application not only helps organizations to optimize their processes and increase performance, but also creates a flexible working environment and a better experience for employees. However, along with those benefits, the application of AI also creates new challenges, requiring organizations to consider and prepare carefully before applying new technology. This article will delve into the benefits and challenges of applying AI in human resource management, thereby helping businesses form and develop appropriate strategies in the future

Intellectual Capital Accounting – Value and Benefits for the Sustainable Development of Enterprises

The research indicates that the existence of intellectual capital accounting which has been recognized as the cost in production and business costs by current accounting practices were falsify the value and their using value and partly conceal exploiting potential of these. Intellectual capital has an important role in determining the business strategy, developing of tools to measure the results of business and enhancing the competitiveness of enterprises. Therefore, intellectual capital should be recognized as an asset (intangible) on financial reports to help the users of information to have more financial information in terms of the potential ability of the business. In Vietnam, however, intellectual capital accounting has not really become popular and are considered as a new area by both researchers and practical persons. To achieve its objectives, this study uses Likert scale with values from 1 to 5 based on 5 criteria (accounting policies, environmental accounting, the method of valuation, the system determines the value of intellectual capital in enterprise and economic benefits) to assess the situation of intellectual capital accounting in Vietnamese enterprises. The research results will be the basis for the orientation in completing the provisions on the recognition, measurement and intellectual capital reporting on financial reports so as to sustainable develop in the context of integration. Keywords: accounting, enterprises, intellectual capital; sustainable developmen

Adaptive sliding mode control for uncertain wheel mobile robot

In this paper a simple adaptive sliding mode controller is proposed for tracking control of the wheel mobile robot (WMR) systems. The WMR are complicated systems with kinematic and dynamic model so the error dynamic model is built to simplify the mathematical model. The sliding mode control then is designed for this error model with the adaptive law to compensate for the mismatched. The proposed control scheme in this work contains only one control loop so it is simple in both implementation and mathematical calculation. Moreover, the requirement of upper bounds of disturbance that is popular in the sliding mode control is cancelled, so it is convenient for real world applications. Finally, the effectiveness of the presented algorithm is verified through mathematical proof and simulations. The comparison with the existing work is also executed to evaluate the correction of the introduced adaptive sliding mode controller. Thoroughly, the settling time, the peak value, the integral square error of the proposed control scheme reduced about 50% in comparison with the compared disturbance observer based sliding mode control

Attitudes toward Self-Disclosure on Facebook: A Review of Perception, Emotion and Behavior in University Students

A number of social networking platforms have emerged as a result of the development of information and communication technology which have become increasingly user-friendly and full with valuable features. The social networking site with most users is Facebook. Teenagers, particularly college students use Facebook most frequently to study, gain information, entertain themselves and connect with others through self-disclosing personal information on the Facebook profile page. This quantitative study aimed to analyze the attitude of pedagogical students regarding self-disclosure on Facebook as represented through cognition, emotion and behavior concerning academic achievement. The survey was completed by 535university student’s majority in pedagogy. There were 41 students who used it for less than three years between three to five years by 218 students and 276 students who use it more than five years. The questionnaire was self-reported by participants to assess university students' attitudes toward self-disclosure on Facebook. The results indicate that pedagogical students with excellent academic achievement and more than five years of Facebook experience had the highest-level attitude toward self-disclosure on Facebook. The results indicate a positive relationship between cognition, emotion and influence factors students' Facebook attitudes. Future research on methods that enhance student positive disclosure can benefit from this study. Future research should examine how self-disclosure on Facebook relates to other aspects, such as Facebook usage time, financial state and perception of advantages and its disadvantages of Facebook in order to evaluate students' attitudes objectively

Uso de variables de mercado en la predicción de dificultades financieras para las empresas que cotizan en Vietnam

This paper aims to investigate the classification power of market variables as predictors in the financial distress prediction model for listed companies in a frontier market as Vietnam securities market. Data is collected from 70 financially distressed companies that suffer a loss in 3 consecutive years and 156 non-financially distressed companies in Vietnam from 2010 to 2017. Four different models have been constructed using Logit regression and SVM analysis technique to make a prediction in 1 to 3-year ahead. The analysis results show that combining accounting ratios with market variables such as price volatility and P/E can improve the classification ability of the ex-ante model. In addition, contrary to the results of related previous researches in emerging markets, in this study, Logit models outperform SVM models. Therefore, for future research, models that apply other machine learning classifiers such as Decision Tree (DT) or Neural Network (NN) should be investigated.Este artículo tiene como objetivo investigar el poder de clasificación de las variables del mercado como factores predictivos en el modelo de predicción de dificultades financieras para las empresas que cotizan en bolsa en un mercado fronterizo como el mercado de valores de Vietnam. Los datos se recopilan de 70 compañías con dificultades financieras que sufrieron una pérdida en 3 años consecutivos y 156 empresas sin dificultades financieras en Vietnam desde 2010 a 2017. Se han construido cuatro modelos diferentes utilizando regresión Logit y la técnica de análisis de SVM para hacer una predicción en 1 a 3 años por delante. Los resultados del análisis muestran que la combinación de ratios contables con variables de mercado como la volatilidad de los precios y el P / E puede mejorar la capacidad de clasificación del modelo ex ante. Además, a diferencia de los resultados de investigaciones anteriores relacionadas en mercados emergentes, en este estudio, los modelos Logit superan a los modelos SVM. Por lo tanto, para futuras investigaciones, se deben investigar los modelos que aplican otros clasificadores de aprendizaje automático, como el Árbol de decisiones (DT) o la Red neuronal (NN)

Investigating the elements influencing the psychological issues of reform school students

Reformatory students are those whose deviant behaviors and habits prevent them from receiving education under normal educational conditions. These students frequently lead a careless, undisciplined lifestyle, being unwilling to work and learn eager to play and demanding. Therefore, when they are admitted to reformatories with severe study and lifestyle requirements, they have great psychological difficulty adjusting to their new environment. Students’ psychological issues in adapting to reformatory learning and living regimes are difficult and psychological deficits make it challenging for students to adapt to reformatory learning and living conditions. In Vietnam, 665 students from reformatory schools were polled to determine the causes of psychological issues. According to the findings, a variety of elements contribute to students’ psychological difficulties. Individual student conditions such as health, awareness, attitudes and actions as well as inappropriate habits, living without goals or aspirations, etc. are on the subjective side of the equation. On the objective side are the students’ conditions, family, education and psychological obstacles brought on by less-than-ideal circumstances which will make it more difficult for community students to adapt. Both the new school and society must pay more attention to reformatory students in order to establish the conditions necessary for successful integration into the new school and ultimate readmission into society for these students

Informações contábeis e retornos de ações no mercado de ações do Vietnã: abordagem de aprendizado de máquina

This paper studies the relationship between accounting information reflected in financial statements and stock return in Vietnam Stock Market. The authors propose a research model to define the relationship. Besides, machine learning algorithms are used in researching and forecasting, with data obtained from observed firms during the period from 2009 to 2020. Research results show that gradient boosting algorithm has the best self-reporting performance and finan-cial ratios also have great impact on stock returns, including operating income growth, stock earnings volatility, dividend yield, earnings before tax-to-equity ratio, cash holding ratio, and accrual quality. Based on the research results, the authors make some recommendations for investors, firms, and policy makers.Este artículo estudia la relación entre la información contable reflejada en los estados financieros y el rendimiento de las acciones en el mercado de valores de Vietnam. Se propone un modelo de investigación para definir la relación. Además, los algoritmos de aprendizaje automático se utilizan en la investigación y la previsión, con datos obtenidos de empresas observadas durante el período de 2009 a 2020. Los resultados de la investigación muestran que el algoritmo gradient boosting tiene el mejor rendimiento de autoinforme y los índices financieros también tienen un gran impacto en la rentabilidad de las acciones, al incluir el crecimiento de los ingresos operativos, la volatilidad de las ganancias de las acciones, el rendimiento de los dividendos, la relación entre las ganancias antes de impuestos y el capital, la relación de tenencia de efectivo, y la calidad de la acumulación. Sobre la base de los resultados de la investigación, se hacen algunas recomendaciones para inversionistas, empresas y formuladores de políticas.Este artigo estuda a relação entre as informações contábeis refletidas nas demonstrações financeiras e o retorno das ações no mercado de ações do Vietnã. Os autores propõem um modelo de pesquisa para definir a relação. Além disso, algoritmos de aprendizado de máquina são usados em pesquisas e previsões, com dados obtidos de empresas observadas durante o período de 2009 a 2020. Os resultados da pesquisa mostram que o algoritmo gradient boosting tem o melhor desempenho de autorrelato e os índices financeiros também têm grande impacto nos retornos das ações, incluindo crescimento da receita operacional, volatilidade do lucro das ações, rendimento de dividendos, lucro antes do índice de impostos sobre o patrimônio líquido, índice de retenção de caixa e qualidade de acumulação. Com base nos resultados da pesquisa, os autores fazem algumas recomendações para investidores, empresas e formuladores de políticas