As in agriculture, fisheries sector faces long list of uncertainty and unsustainability in supply of the products. This is due to the great possibility of natural disaster and moral hazard by the actors in fisheries which lead to the instability of value chain on fisheries commodity from downstream to upstream. Thus, a study must be done in order to explore and minimize the disturbance of the stream of value chain in fisheries. This study aims to investigate the attributes playing big role on affecting value chain cooperation among actors in fisheries commodity in Kei Islands. Data mining is used on the study to determine factors playing major roles in smoothing cooperation in value chain of fisheries commodity, with 220 datasets obtained from actors in fisheries micro-enterprises in Kei Islands taken from August to November, 2019. The result shows that, on average, weights of four data mining techniques; namely support vector machine, fast large margin, logistic regression, naïve bayes and generalized linear model all appear to put management as the leading factor that contributes the most for the cooperation of value chain of fisheries commodity in Kei Islands. This finding implicates that management on all micro-enterprises of fisheries business in Kei Islands has to be the main focus, which is mainly related to basic knowledge on conducting cooperation and maintaining relationship among all actors in fisheries sector, therefore, NGO and local government need to step in and play role on educating all actors for better good governance of the business to obtain the great sustainability in the value chain of fisheries commodity in the region.

The major challenge, which the financially insufficient firm tries to overcome, is the uncertain demand during the sales season and the possible bankruptcy due to the lower demand than the initial order quantity. Most traditional studies on the operational decision problem address this challenge by assuming that the retailer has enough capital to procure as many products as necessary. However, small and medium size firms with insufficient capital or even startup companies are generally financially constrained for procuring or producing the product. Thus, to address the financially constrained problem, in this study we model a financially constrained two-level supply chain consisting of a financially-deficient retailer and a bank. In this supply chain, the supplier can sell a product at two wholesale prices to the retailer before and during the sales season, respectively. Then the retailer makes an initial order to the supplier with this loan from the bank and then sells the product to its customers at a selling price during the sales season. Moreover, if the realized demand is more than the initial order quantity, the retailer can make the second order at a higher wholesale price than the initial wholesale price. The analytical results from this model can be summarized as follows: First, the retailer’s optimal initial ordering decision is a non-increasing function of the bank’s decision, interest rate. Second, as the procuring cost through the quick response increases, the retailer’s initial ordering quantity increases and thus the amount of loan from the bank increases. Third, as the retailer’s initial capital increases, the amount of loan from the bank decreases. Forth, the retailer’s initial ordering quantity with the quick response strategy is almost surely less than without the quick response strategy.

The study focused on analyzing the impacts of labor migration process on the structural change of the rural labor in Trieu Son District, Thanh Hoa province in Vietnam. With regard to the quantitative and qualitative methods, the study used the survey data from the research “The changes of rural labor composition under the impacts of current labor migration in 2018: A case study in Trieu Son District, Thanh Hoa province in Vietnam”. The results of logit regression analysis showed different factors affecting the structural change of the rural labor including: number of migrant workers, migration time, destination of migrants, occupation, living-condition, number of dependent households in the household.

This paper increases the understanding of the quality of accounting information systems in emerging economies, using data from Vietnam as an example. The quality of accounting information systems is a measure combining system quality and information quality. It is important to figure out what aspects of this measure are critical for business to enhance firm performance. This research investigates the level of accounting information system quality and examines the relationships between system quality and firm size, information quality and firm size, system quality and business sector as well as information quality and business sector, respectively. We employed descriptive statistics to illustrate the quality of accounting information systems and One-Way ANOVA to test four hypotheses. The descriptive statistics results demonstrate the level of system quality and information quality, in general, is not excellent. And there are differences in system quality and information quality in each business sector groups and firm size groups. The test result highlights a relationship between system quality and firm size but there are no links between information quality and firm size, system quality and business sector, and information quality and business sector. In conclusion, the paper extends the literature of the quality of accounting information systems and assists state agencies and executives to have a framework to improve the business performance as well.

The objective of this paper is to study how to improve the financial performance of Vietnamese tourism and travel enterprises through audit tools. The study was conducted on 228 tourism and travel enterprises in Vietnam over a period of 1 year. The results show that quality of audit could improve the financial performance of tourism and travel enterprises in Vietnam. This relationship, however, was not a full mediate relationship, but audit quality still had a strong impact on capital access, customer loyalty, employee satisfaction and corporate reputation. Nevertheless, the two mediate factors that access capital and employee satisfaction did not have any statistically significant impact on financial performance.

This paper attempts to identify the reasons behind the adoption of the accounting information tools which has been implemented in Portuguese third sector organizations. The research was designed to face new institutional theory with rational choice theory. Data was collected from third sector organizations operating in Portugal. The questionnaire applied was based on earlier literature. Results support the theoretical perspective of institutionalism. Indeed, third sector organizations operating in Portugal use essentially traditional accounting tools like financial accounting statements, cost accounting and budgeting, and there are clear evidences of coercive isomorphic behaviours. Future research should consider a qualitative approach to deeply understand how and why these organizations use accounting tools.

The objective of this paper is to determine the basic features of the use of mathematical modeling of the system to forecast cryptocurrency exchange rate. The study determines that cryptocurrency is the simplest investment asset being and, at the same time, the riskiest one. Advantages and disadvantages of cryptocurrency use are specified. Advantages include: code openness, anonymity, decentralization, emission, and reliability. Disadvantages include lack of guarantees, instability, risk of prohibition and possible loss. A model to forecast bitcoin cryptocurrency exchange rate is proposed and substantiated mathematically. The observations are the basis to develop a hypothesis: the faster the cryptocurrency (e.g. bitcoin) is mined, the more difficult it is to forecast bitcoin cryptocurrency exchange rate. Certain factors emphasize which may affect the cryptocurrency exchange rate: trade wars of the USA with other export-oriented world economies (China); advent of IEO as the alternative for ICO and new drivers connected with the interest in cryptocurrency; FATF recommendations for market control, the entry of world giants (e.g. Facebook) into the crypto-market and the development of the stablecoin market.

This research applies a Vector error correction model to investigate the long-run and short-run effects of gross domestic product (GDP), energy consumption, foreign direct investment (FDI), and trade openness on CO₂ emissions. The findings indicate that in the long run, GDP growth per capita has a negative influence on CO₂ emission. Energy consumption and trade openness negatively affect CO₂ emission. The foreign direct investment as the percentage of GDP in a long time has a positive relationship with CO₂ emission. Furthermore, the short-run GDP per capita affects CO₂ -emission with two-year lags and energy consumption influences CO2 emission with a one-year lag. These observations have many implications for policy-makers in issuing the FDI policy in Vietnam in recent times and considering the impact of economic development on protecting the sustainable growth in the long-run.

Profit always be the top priority of banking operation over the years. Commercial banks maximize the net interest margin by charging more interests to the borrowers and offering lower interests to the depositors. Their aggressive lending strategies can sometimes result in credit risk, moral hazard and non-performing loans. Some studies found that non-performing loans have negative impact on the bank’s profitability; some argued otherwise. This paper aims at investigating the impact of non-performing loans on the ability to make profit of Vietnamese commercial banks in the period of 2008 to 2017 and draws a conclusion as well as recommendations to mitigate the risk.

Profit always be the top priority of banking operation over the years. Commercial banks maximize the net interest margin by charging more interests to the borrowers and offering lower interests to the depositors. Their aggressive lending strategies can sometimes result in credit risk, moral hazard and non-performing loans. Some studies found that non-performing loans have negative impact on the bank’s profitability; some argued otherwise. This paper aims at investigating the impact of non-performing loans on the ability to make profit of Vietnamese commercial banks in the period of 2008 to 2017 and draws a conclusion as well as recommendations to mitigate the risk.