Application of Social Media Data to Enhance the Performance of Humanitarian Logistics: A Case Study of Vietnam in the Aftermath of Typhoon Yagi

The study evaluates to what extent logistics performance and its components impact Vietnam’s bilateral export value. The augmented Gravity model is applied on panel data in the period from 2010 to 2018. Logistics efficiency is measured by Logistic performance index (LPI) and its sub-indices developed by the World Bank. A variety of diagnostic tests and estimation methods are employed to ensure the stability of the results. The main findings confirm that all explanatory variables demonstrate the expected signs, and aggregate logistics performance and its sub-indices have positive impacts on Vietnam’s export flows, with the magnitude of logistics impacts is greater than other factors in the research model. Among LPI components of Vietnam, Ease of arranging shipments index is the most influential factor on exports, followed by Infrastructure, Timeliness, and Quality of logistics services. These export’s effects are also identified by partners’ LPI indicators namely Quality of logistics services, Customs, Infrastructure, and Tracking and tracing.

This paper examines the impact of financial inclusion (FI) on monetary policy (MP) – a case study in Vietnam. The PCA method is used to construct a FI index- considered as a comprehensive measure of FI. To answer the main research questions, OLS and GLS models are used to analyze and to overcome the phenomenon of heteroskedasticity. Data is collected through secondary sources including World Bank and IMF reports (for the period 2004-2015). The results of empirical research indicate that there is a negative impact of FI on MP. Accordingly, FI transmits to more successful MP, making efficient financial intermediation and balances, contributing to a stable and sustainable economy. This study concludes that FI will enable monetary policy to extend its reach to the financially excluded and aid policy makers to make better predictions of movements in inflation.

Purpose: To aim of the study was to analyze agricultural practices and climate resilience: case study in Vietnam. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: In Vietnam, agricultural practices significantly enhance climate resilience amidst growing climate variability. Diversified cropping systems and climate-smart techniques like conservation agriculture and agroforestry help mitigate climate-related risks by spreading vulnerabilities and improving soil health and water retention. Promoting resilient crop varieties and livestock breeds further reduces susceptibility to pests, diseases, and extreme weather events. Integrating these strategies into agricultural policies is vital for ensuring food security and sustainability in Vietnam's changing climate. Unique Contribution to Theory, Practice and Policy: Social-Ecological Systems Theory (SES), Adaptive Capacity Theory & Political Ecology Theory may be used to anchor future studies on agricultural practices and climate resilience: case study in Vietnam. Encourage diversification of crops and livestock to increase resilience to climate variability. Promote mixed cropping, agroforestry, and integrated livestock-crop systems, which enhance biodiversity, soil fertility, and pest resilience. Develop and implement policies that support climate-resilient agriculture.

In-service training is an integral part of an educational system as teachers always need to update their educational and professional knowledge for a more effective teaching delivery. Ensuring the effectiveness of the in-service training programmes is, however, very challenging. In this article, we introduce the use of the CIPO model, i.e., Context-Input-Process-Output, for in-service training management. We extend the classical CIPO model by integrating into it a quality assurance process. We conduct a case study in Vietnam over a sample of 163 teachers and develop an IT training course to demonstrate how the new model can be used in teacher training management. Finally, we discuss about the lessons learned and recommendations.

In the current market economy, it is important to evaluate and forecast the situation and business performance of enterprises to provide the necessary information for managers to plan for future use of resources. This study aims to evaluate and predict the business performance of logistics companies in Vietnam. The authors use the optimal algorithm in the data envelopment analysis (DEA) to evaluate the business efficiency of the companies in the years 2014–2017. In addition, the authors use Grey system theory to forecast business results and their future use during the period of 2018–2021. The research shows that Gemadept Corporation and Sea & Air Freight International use the their business resources effectively and as expected, and that these companies will continue to thrive in the future. This study provides a method to measure, evaluate, and forecast the business performance of the logistics companies. Managers and the government can rely on this approach for implementation and overall planning of logistics enterprises in the future.

Although it is widely acknowledged that real-life dealing with logistics operations is more complex than theoretical knowledge, traditional educational settings offer very few ways for learners to experience this aspect. This article deals with the development of a real-life environment for teaching logistics management in emerging countries and more specifically in Vietnam. This particular pedagogical initiative results from specific educational research that has been materialised through the creation of a learning centre that brought theory and practices closer. This article shows how the use of a real-life-based teaching method can contribute to an authentic learning through the presentation and the discussion of a case study in Vietnam: Logistic E-Training Center (LETC – http://letc.vimaru.edu.vn/). The novelty of this educational research in logistics is to define and exemplify a framework for the development of an appropriate educational setting offering a real-life environment in which learners can experience their knowledge and formulate all the tacit skills required to handle logistics operations. Such education context provides the opportunity for students to exercise realistic work practices by developing cognitive skills required in real/authentic working situations. Learners who have attended LETC programmes that include real-life activities are better prepared to transfer the skills they have learnt in an educational setting to a work.

Groundwater table could be a significant problem during the excavation of a basement. Water through seepage forces does not only interrupt the construction work but also reduce soil strength that leads to instability of support systems. Therefore, groundwater control methods (or dewatering) before or during basement work are indispensable. Many experts have proposed both analytical and numerical analyses for simulation of the dewatering process. However, in reality, the calculation and arrangement of dewatering wells are often uncertain due to a lack of geology investigation and seasonal changes of the groundwater table. To facilitate the construction work, a quick solution needs to be proposed. In this paper, the experienced mitigation methods during basement construction are presented through case studies. In detail, deep excavation with various support systems and complex geotechnical and hydrogeological conditions have been chosen. Differences between dewatering systems in design and at actual site conditions are also shown. Thereby, an optimal design would be obtained in the future.

This study aims at exploring the stakeholders' views on integrated reporting (IR), thereby providing an indication of the readiness of Vietnamese businesses to adopt IR.This survey focuses on Vietnamese businesses involved in preparation of the integrated report and other stakeholders.Its findings show a low level of knowledge about IR in Vietnam, however, the majority of stakeholders are eager to learn more about it.Most businesses in Vietnam have not yet discovered its benefits as well as its implementation process.Therefore, it is necessary to equip knowledge and provide technical support through training, coaching, conferences, seminars, etc. Study purpose:This study is aims at exploring the stakeholders' views on in Vietnam -an emerging economy in Southeast Asia. Study motivation:IR and its benefits have been widely accepted all over the world, however, in Vietnam, only a few businesses have adopted it.This study explores its causes, thereby proposing solutions to promote its adoption in Vietnam. Study design, approach and method:The study explores the stakeholders' views through a survey of 200 subjects including report makers and other stakeholders. Key findings:The findings show that knowledge about IR in Vietnam is low, however the majority of stakeholders are eager to learn more about it.The stakeholders are uncertain about the role of the current reporting system, but they think that IR will help improve the disclosure. Practical significance:The limited knowledge of IR may keep the Vietnamese business from adopting IR.Equipping IR knowledge and providing technical support is necessary to make IR more popular, thereby providing a transparent financial market, attracting the attention of various international investors.

The concept of the audit expectation gap (AEG) is not novel in the field of auditing, having first been introduced approximately 50 years ago in Liggio's [1] study. Since then, AEG has garnered significant attention from both practitioners and academic researchers. However, there remains ongoing debate regarding the methods used to measure AEG and the factors that influence it. This study aims to address these gaps by proposing a new approach for measuring AEG and presenting a research model to identify the factors that impact AEG. Additionally, the study provides empirical evidence from Vietnam to validate the proposed measurement method and research model. The findings indicate the presence of AEG in Vietnam and highlight that factor such as users' understanding of audit, users' neess from audit, auditor’s independence, auditor’s competence, and the insufficient audit standards significantly influence AEG within the Vietnamese context.

The goal of creating, forming, and developing businesses in general and securities companies in particular, whose ultimate goal is profit, high and stable profitability is the goal of any company. However, due to their specific business lines, securities companies are affected by risks such as market risk (which is the value corresponding to the level of loss that may occur when the market price of assets currently owned and expected to be owned under the underwriting commitment fluctuates in an adverse direction); Payment risk (is the value corresponding to the level of loss that may occur when the counterparty is unable to make payment on time or deliver assets on time as committed; operational risk (is the value corresponding to the level of losses that may occur due to technical errors, system and business process errors, human errors in the operation process, due to lack of business capital arising from expenses and losses from investment activities, due to other objective reasons). The problem is how the securities company can balance the safety goal, limit the possible risks and at the same time still increase the ability of the enterprise profitability. In practice, there are many methods to measure risk, but one of the most widely accepted methods of predicting risk and bankruptcy today is Z-score of the US economist's - Edward I. Altman – a lecturer of New York University faculty member set. In the US, about 95% of bankruptcies are forecast from the Z-score one year before the closing date, but this rate drops to just 74% for 2-year forecasts. From the initial Z-index forecast, Professor Edward I. Altman has developed it into Z' and Z'' to be applicable to each type and industry of the business. The Z'' coefficient is similar to the S&P credit rating.

Mechanism of Large-Scale Landslide Development and Remedial Methods—A Case Study in Vietnam

A combined Data Envelopment Analysis (DEA) and Grey Based Multiple Criteria Decision Making (G-MCDM) for solar PV power plants site selection: A case study in Vietnam

The purpose of this research is to propose a conceptual model for factors affecting decisions on application of green practices in accommodation businesses in Vietnam. Through reviewing and evaluating the content of previous researches, the model will provide an integrated perspective for researchers to experimentally test the relationships between external factors (institutional pressure), internal factors (motivation and environmental attitude of the upper managers) and the adoption of green practices in hospitality businesses. Although the model is expected to contribute to the literature when studying corporate social responsibility, the author suggests that an empirical research should be done to confirm the relationship of the variables in the model or changes (if any) to adapt to the research context in transitional economies such as that of Vietnam.

Economic development and the overpopulation in Vietnam have led to rapid urbanization, which has posed countless difficulties and challenges to its government. In particular, creating adequate accommodation, life activities, and entertainment are extremely urgent issues. The planning and investment in industry zones, urban areas, residential districts, and amusement parks at the right time and right place contribute to social stability and economic development, and are important issues for every government—especially in Vietnam which remains a developing country with regard to rapid industrialization and modernization speed. The population density in many localities is too dense, while in others it is too thin, resulting in a state where inhabitants have no shelter, whereas many of the buildings have been abandoned. To deal with these matters, the authors used this study to assess the investment effectiveness of leading corporations in the field of investment in urban development and infrastructure investment in Vietnam. The study focused on addressing the following issues: assessing the effectiveness of corporations in urban development and infrastructure investment in Vietnam and predicting the business state of the groups. Through business data of corporations from 2013–2016, the authors used a Grey system theory to forecast business situations for the period from 2017–2020. The authors also used data envelopment analysis (DEA) to evaluate the effectiveness of investments of the group from 2013–2020. The results will help corporations in creating suitable investment and business strategies with the changes of the domestic and world economy, and can be considered as a foundation for management units, for local government to create planning projects with feasible content, for long-term vision, and practical efficiency to quickly meet the needs of urban development plans.

Polylactic acid (PLA) is a biodegradable polymer synthesized from renewable feedstocks such as corn starch, sugarcane, and cassava, presenting a sustainable alternative to conventional petroleum-based plastics worldwide. Global plastic pollution, particularly from single-use plastics, has driven increasing interest in PLA, with national policies and international initiatives aiming to reduce plastic waste and greenhouse gas emissions. PLA production offers notable environmental benefits, including 25–55% lower energy consumption and up to 70% fewer greenhouse gas emissions compared to traditional plastics. Despite these advantages, PLA faces technical challenges such as low thermal stability (~60°C), brittleness, and limited gas barrier properties. Recent innovations—such as nanofiller incorporation and stereocomplex PLA with enhanced thermal resistance exceeding 230°C—have addressed many of these limitations. The global PLA production capacity reached approximately 1 million metric tons per year and is projected to exceed 3 million tons by 2030, driven by advances in cost-effective raw materials, enzymatic recycling technologies, and hybrid bioplastic systems. This review systematically explores the current status, technological challenges, and strategic policy measures supporting PLA adoption globally, emphasizing the importance of innovation, circular economy approaches, and multi-stakeholder collaboration to realize PLA’s full potential as a cornerstone of sustainable material development.