The term of audit expectation gap (AEG) was created nearly 50 years ago and has received the attention of many researchers. Despite a lot of research on AEG, the method of measuring AEG remains controversial. The number of studies which propose the method of measuring AEG is limited and there are many problems when applying these methods in empirical studies. Inherited from previous studies, this paper aims to develop a new method of measuring AEG and proves it by the results from the application of this method in empirical research in Vietnam. The article achieves two important results: (1) Proposing a new method of measuring AEG based on the Porter’s definition and structure of AEG; and (2) Proving the results from the application of the new method for measuring AEG by conducting empirical research in Vietnam.

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.

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.

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.

The paper investigates the impact of corporate performance on supply chain finance with the data collected from logistics sector in Vietnam. Particularly, supply chain finance is measured by cash conversion cycle (CCC). By using the generalized method of moment (GMM), the results show that corporate performance (CP) exerts a negative impact on cash conversion cycle (CCC). Alternatively, corporate performance positively affects supply chain finance, which is an interesting finding of this paper. Further, supply chain finance is also significantly influenced by some control variables, namely capital structure (CS), firm size (FS) and firm growth (FG). The results are essential for the management of supply chain, especially those working in logistics sector.

The study aims to test the impact of social responsibility toward employees on the business performance. The sample selected includes 667 employees in the enterprises. The research results show that the social responsibility factor had direct and indirect impacts on the business performance of enterprises through two intermediaries: cohesion and opportunistic workers’ behavior. Based on the research results, we propose a number of recommendations to increase the efficiency of business operations of the enterprises through improving corporate social responsibility toward employees in countries with emerging economies, including Vietnam.

The paper analyzes factors which exert significant impact on supply chain finance (SCF) of real estate sector in Vietnam. Since this interesting topic has not been commonly investigated in empirical research, its results will be meaningful not only on Vietnam but also on other economies. By employing generalized method of moment (GMM) in estimation, the authors report the negative impact of firm profitability (ROA), financial leverage (LEV), firm size (SIZE) and economic growth (GDP) on supply chain finance (SCF). These valuable findings are essential for consideration by the management in improving supply chain finance, especially that of real estate sector.

This study focuses on assessing the suitability and condition of various bankruptcy risk models applied to construction companies listed on the Vietnam Stock Market. In this study, the panel data were collected from the disclosed financial statements of the companies from 2012 to 2017. Through the assessment, bankruptcy risks are predicted for the companies that are experiencing initial signals such as delisting, compulsory supervision. In the next step, interviews were conducted to justify which of the following factors may indicate the companies at the risk of being bankrupted: asset management, capital structure, business size, and/or state management.