In the context of fintech and industrial revolution 4.0, the banking system worldwide has significantly developed mobile banking services at a great pace in order to promote economic performance. The aim of this analysis is to estimate factors that impact on the customers' use of mobile-banking services in the typical case in Vietnam nowadays. Using a sample data of 420 questionnaires covering in 2020, the results indicate that brand and social influence have greatly impacted on the customers' use of mobile-banking services. A greater bank’s brand and social influence is positively related to a greater the customers' use of mobile-banking services. In addition, transaction risk has a negative impact on decisions to use mobile-banking services. Vietnam should enhance the risk management in the banking sector in order to maintain sustainable development in the long run.

This study is carried to analyze the factors influencing the attracting resources for urban development in a case study in Vietnam. The research findings show that factors such as human resources, local policies, infrastructure system, local advantages, and international integration were the most influential factors on the ability to attract resources. At the same time, the study carried out the forecast of the need to use resources for urban development of Phuc Yen city in Vietnam. The resources forecasted in the study are human resources and financial resources. For human resources, with the data collected through surveys and evaluation of enterprises - an important subject promoting the socio-economic development of the city, the authors assessed the adaptive capacity of this human resource to serve the development goals of the urban. As for financial resources, the study predicts the demand for capital for industry, agriculture, and services of Phuc Yen City by 2030. The research findings are the basis for proposing solutions to support and promoting the attraction of resources for urban development of Phuc Yen City, Vietnam.

Knowledge sharing plays an important role in management of universities. Vietnam universities are not highly regarded for their teaching quality and scientific research. It is therefore necessary to promote knowledge sharing through two central processes: knowledge donation and collection as well as individual performance of lecturers. Based on a sample size survey of 312 university lecturers in Vietnam and the methods of analyzing exploration factor (EFA), factor analysis (CFA), structural equation modeling (SEM) to examine the hypotheses of the survey, the study determines that two individual factors; namely job satisfaction and other involvement significantly influenced knowledge donation process. One individual factor also positively influences knowledge collection process, knowledge self-efficacy, and lecturers’ willingness to donate knowledge to improve individual performance. Finally, several suggestions for enhancing the knowledge sharing and individual performance of lecturers for university managers are given.

The real estate and construction industry have significantly played a particularly important role in economic development in each economy. In the case of Vietnam, the real estate and construction industry have greatly contributed a large proportion to the gross domestic product (GDP) growth with a sustainable annual growth. The purpose of this study is to examine the impact of manager’s ability, wage minimum policy, and firm size on firm performance. Using 220 real estate and construction firms in the case of Vietnam, results depict that a greater ability of managers in the real estate and construction sector will significantly enhance the efficiency of businesses. In addition, a larger firm can reach a higher firm efficiency while the efficiency of the real estate and construction firms is not impacted by changes of wage minimum policy.

This paper examines the impact of corruption on employers' efficiency in Vietnamese firms. The Generalized Least Square (GLS) estimation method was used for data sets surveyed for Vietnamese firms in 63 localities. The research results show that the unofficial costs in the industry and the total informal costs accounting for 10% or more of revenue will negatively affect the labor efficiency of these enterprises. For costs related to administrative procedures, businesses accept to pay these fees in order to save waiting time and it contributes to increase the efficiency of employers in businesses. In addition to the corruption factor, the study also shows that the number of employees, the location of operation, the average value of fixed assets per employee and the return on equity also affect the efficiency of use. employees in Vietnamese enterprises.

The aim of this research is to analyze the impact of coffee industry on economic growth of Vietnam. This research has used historic data for coffee production, consumption, exports, and coffee stock for Vietnam, thus this research has followed a quantitative design. The data in this research has been collected from the time period ranging from 1990 to 2018. There are several techniques that were applied in E-views such as descriptive statistics, bounds test, and autoregressive distributed lag model. The results of ARDL model indicate that in the short run coffee industry has an influence on the economic growth in Vietnam. It can be stated that for the short-run the null hypothesis is rejected stating that domestic consumption, exportable consumption, gross opening stock, and total coffee production have impacts over the gross domestic product (GDP) of Vietnam. The results of Bounds test show there is a significant impact of coffee industry on the economic growth of Vietnam in the long run as well.

The development of technology and smart mobile devices such as phones and tablets has changed the behavior of tourists when booking tourism services. Based on the technology acceptance model, this study aims to explore the factors influencing the intention to use mobile applications for accommodation booking among GENZ in Vietnam. The analysis of 218 users revealed that four factors influence the behavior of using mobile applications for booking: performance expectancy, effort expectancy, social influence, and hedonic motivation. In addition to identifying the factors affecting usage intention, this study also proposes implications to assist developers and providers in improving their applications and developing suitable product strategies for the future.

This study aims to evaluate the impact of effective emotional intelligence on the work of auditors in Ho Chi Minh City, Ho Chi Minh. The authors conducted a survey for 355 auditors at companies and organizations operating in the field of auditing. The results show that there were 4 factors of emotional intelligence that affect job performance, arranged in the following sequence: (1) Perception of emotions, (2) Positive thinking with emotions, (3) Understand emotions, (4) Control emotions. This is the basis for the authors to give some implications to improve the emotional intelligence characteristics of auditors towards work efficiency.

This study aimed at testing the impacts of social responsibility on customers’ switching behavior in using products and services. The research method was quantitative based on the structural equation modeling SEM with the sample size of 551 individual customers in small and medium enterprises in Vietnam. Research findings demonstrated that social responsibility put both direct and indirect impacts on customers’ switching behavior in using products and services. This relationship was proved with two intermediary factors, namely enterprises’ brand value and customer loyalty. These conclusions not only revealed the research’s contributions but also laid the foundation for further studies. Based on the research findings, the author proposed recommendations to avoid customers’ switching and minimize business loss due to customers’ switching behavior in using products and services.

This study aimed to quantify the relationship between factors influencing the investment outcomes of airport infrastructure development in Vietnam. On that premise, suggesting the ideas for applying information technology systems to maximize resources to improve investment outcomes in Vietnam's airport infrastructure development. Data for the study were gathered from the Airports Corporation of Vietnam's annual report and a survey of 316 officials involved in the investment and development of airport infrastructure in Vietnam. The linear regression model is used to quantify the impact of various factors. According to the research findings, the most influential variable according to the survey subject's opinion is the contractor (NT), with an adjusted beta coefficient value of roughly 0.3915.