In recent years, increasing number of countries have focused on potential food safety risk factors with the frequent exposures of food safety incidents, including “bovine spongiform encephalopathy,” “illegal cooking oil,” and “hygiene of take-out.” Food safety risks are frequently carried by multiple subjects in most cases, and intelligence flow among these subjects is easily ignored. To identify food safety risk factors from the perspective of intelligence flow, the internal relationship between intelligence flow and food safety risks was analyzed, and an index system of food safety risk factors was established. Furthermore, a food safety risk recognition model was constructed with the Decision-Making Trial and Evaluation Laboratory and Interpretative Structural Modeling (DEMATEL–ISM). Results demonstrate that poor supervision, activity degree of public opinion information, and personal safety risk awareness are the key factors influencing food safety risks. In addition, unhygienic processing environment and inappropriate processing and eating are the superficial causes of food safety risks or food safety incidents. The conclusions serve as reference to strengthen accurate recognition and notification of food safety risk factors from the perspective of intelligence flow. Keywords: food safety risk, intelligence flow, DEMATEL–ISM, risk factor

While SMEs are widespread and largely influence the economy of nations, its risk management is little known and has received limited attention. With regards to the importance of the managers in these types of companies; the purpose of this paper will be to investigate the relationships that may exist between the profile of the managers of the SMEs and the choice of risk mitigation strategies. By so doing, it turns out that the perception of risk, the managers and their levels of higher education influence the adoption of risk mitigation strategies in SMEs. In addition, the strategies used to manage risk are diversification, cooperation, selection of suppliers and insurance.

A key component for economic growth is the foreign direct investment (FDI), which drew the attention of researchers worldwide. This study aims to examine the relationship between foreign direct investment (FDI), state-owned investment (SOI), private investment (PI), import (M), export (X) and Vietnam’s economic growth (GDP) since the Renovation (1986) to now (2019). The Vector Autoregression Model (VAR) and Vector Error Correction Model (VECM) were utilized to realize the above-mentioned goals. The Johansen co-integration test confirmed that there exists a long-run relationship among the above variables. The Granger causal relationship test found one-way causal relationship from GDP to FDI and PI in the short-run. Besides, the similar causal relationship between export and GDP is confirmed. Also, the two-way causal relationship between PI and export in the short-run is also found in this study. In addition, the impact of a shock of SOI on GDP is more significant than that of an FDI or PI shocks on GDP. By contrast, the response of GDP to shocks of import and export seems are small. Finally, it is certain that FDI plays an essential role in Vietnam’s economy.

Abstract-

In modern times, financial institutions are the core carrier of efficient operation of financial markets. With the continuous development of financial models such as IoT (Internet of Things) finance, commercial banks have made many attempts in the integration and innovation of finance and logistics, but they have also increased the types and complexity of risks they face while improving financing efficiency. It has the characteristics of great destructiveness, strong infectivity, and high complexity. The establishment of a perfect emergency security optimization management for early warning of bank liquidity risk is an important part of timely detection and effective management of liquidity risk. In order to enable decision makers to accurately use the effective disposal of similar liquidity risk emergencies as a reference for decision-making, this paper studies the generation method of emergency security plan for bank liquidity risk using big data analytic-based case reasoning. Firstly, analyze the characteristics of various types of bank liquidity emergencies a, and identify the key risk points, and form the accident case database. Secondly, carry out the interval division according to the different numerical distribution characteristics of the indicators, and calculate the repeatability of the involved stages. Finally, calculate the comprehensive similarity to obtain the emergency security plan for reference. At the same time, taking A commercial bank as an example, verify the effectiveness of the method by using the constructed case-based reasoning model to generate emergency security plans intelligently. It provides reference for commercial bank liquidity risk management.