Search results

COVID-19 hits every country’s health-care system and economy. There is a trend toward using automation technology in response to the COVID-19 crisis not only in developed countries but also in those with lower levels of technology development. However, current studies mainly focus on the world level, and only a few ones report deployments at the country level. The purpose of this paper is to investigate the use of automation solutions in Vietnam with locally available materials mainly in the first wave from January to July 2020.

The authors collected COVID-related automation solutions during the first wave of COVID-19 in Vietnam from January to July 2020 through a search process. The analysis and insights of a panel consisting of various disciplines (i.e. academia, health care, government, entrepreneur and media) aim at providing a clear picture of how and to what extent these solutions have been deployed.

The authors found seven groups of solutions from low to high research and development (R&D) levels deployed across the country with various funding sources. Low R&D solutions were widely spread owing to simplicity and affordability. High R&D solutions were mainly deployed in big cities. Most of the solutions were deployed during the first phases when international supply chains were limited with a significant contribution of the media. Higher R&D solutions have opportunities to be deployed in the reopening phase. However, challenges can be listed as limited interdisciplinary research teams, market demand, the local supporting industry, end-user validation and social-ethical issues.

To the authors’ best knowledge, this is the first study analyzing the use of automation technology in response to COVID-19 in Vietnam and also in a country in Southeast Asia. Lessons learned from these current deployments are useful for future emerging infectious diseases. The reality of Vietnam’s automation solutions in response to COVID-19 might be a reference for other developing countries with similar social-economic circumstances and contributes to the global picture of how different countries adopt technology to combat COVID-19.

In recent years, agricultural activities in the Mekong Delta have frequently faced the potential risks of drought, saline intrusion and unusually heavy rainfall because of climate change, leading to a decline in crop yield. Therefore, this study aimed to establish rice planting seasons in An Giang, an upper-located province in the Mekong Delta.

The impacts of seasonal variation on the key rice seasons were simulated using the Food and Agriculture Organization-crop model for the OM6976 rice variety grown in the study area. For the simulation, the model combined crop, soil, weather and crop management data.

The results show that seasonal variation because of changes in weather factors leads to alternation in crop yields across the study area. Specifically, the spring and summer rice planting seasons are advanced by one to two weeks compared with the baseline, and crop yield increased by 5.9% and 4.2%, respectively. Additionally, planting for the autumn–winter rice season on 3 August increased crop yield by up to 8.1%.

In general, rice planting seasons that account for weather factor changes effectively reduce production costs and optimise production.

The goal of the study is to offer important insights into the dynamics of the cryptocurrency market by analyzing pricing data for Bitcoin. Using quantitative analytic methods, the study makes use of a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and an Autoregressive Integrated Moving Average (ARIMA). The study looks at how predictable Bitcoin price swings and market volatility will be between 2021 and 2023.

The data used in this study are the daily closing prices of Bitcoin from Jan 17th, 2021 to Dec 17th, 2023, which corresponds to a total of 1065 observations. The estimation process is run using 3 years of data (2021–2023), while the remaining (Jan 1st 2024 to Jan 17th 2024) is used for forecasting. The ARIMA-GARCH method is a robust framework for forecasting time series data with non-seasonal components. The model was selected based on the Akaike Information Criteria corrected (AICc) minimum values and maximum log-likelihood. Model adequacy was checked using plots of residuals and the Ljung–Box test.

Using the Box–Jenkins method, various AR and MA lags were tested to determine the most optimal lags. ARIMA (12,1,12) is the most appropriate model obtained from the various models using AIC. As financial time series, such as Bitcoin returns, can be volatile, an attempt is made to model this volatility using GARCH (1,1).

The study used partially processed secondary data to fit for time series analysis using the ARIMA (12,1,12)-GARCH(1,1) model and hence reliable and conclusive results.

The purpose of this paper is to find out the distribution of benefits, costs, and value added among the actors and problems in the practical management in dairy milk value chain, especially in one of the most important dairy areas in Vietnam to see how they upgrade in the value chain.

A survey was carried out in Bavi, Hanoi where a large amount of fresh milk is produced annually. The content of the survey was built before conducting in Bavi with 160 questionnaires. The questionnaires were based on the criteria which reflect the main objectives of the paper such as the actor’s profits and costs, the relationship among these actors, and the advantages and disadvantages in the dairy milk’s value chain. Some part of results of the paper was evaluated by conducting interviews with the relevant target groups in the value chain of dairy milk. Data collected were aggregated and analyzed by SPSS20, Excel. The calculation of cost and profit margin of each actor in the chain was also be presented by a quantitative tool for value chain analysis.

This study pointed out the systemized problems in the value chain of one of the biggest dairy companies in Vietnam. This study revealed some wicked problems in the value chains of Vietnam under globalization.

This study could not cover all of the detailed actors in the dairy value chain.

The value of income in the chain is distributed unequally. The benefits that farmers receive are inadequate with the costs they have to pay. This is a particular chain, in which the main factors boosting the chain are factories, and an increase in revenue also reflects the benefits of them. The result is that the value added in the chain is also biased toward the dairy plant. The paper also pointed out the shortcomings in the cost calculation of farmers. All the expenses, such as wages and the opportunity cost, are calculated in the total cost of the dairy plant, whereas dairy farmers do not mention these costs. Thus, in terms of benefits, farmers suffer more disadvantages, thus they should be received more value. In terms of management, Bavi’s authorities could not manage the output of milk in the perfect way. The lax management has led to a series of counterfeit goods that appear on the market today. These low-quality products are sold right on the highway and the Bavi’s tourist destination.

This paper aims to explore how research and development (R&D) scientists and engineers can contribute to sustainability initiatives in their organisations.

This paper uses a critical case study methodology, focussed on a large Vietnamese company in which business leaders sought to engage R&D scientists and engineers in sustainability initiatives focussed on eco-innovation and eco-efficiency. Bourdieu’s theoretical lens of habitus, capitals and field facilitates a relational analysis of the findings.

While R&D scientists and engineers adapted well to early changes aligned with eco-innovation, they struggled to engage with sustainability initiatives in the case firm. This study explains adaptions and constraints as scientists and engineers’ professional habitus and capitals, and their broader organisational field.

This paper provides insight into how organisations might integrate professional acculturation and appropriate facilitators to promote the additional contribution of scientists and engineers to sustainability initiatives in the context of an organisation.

Although eco-innovation and eco-efficiency are only potential dimensions of comprehensive organisational sustainability reform, this research provides insight into how engaging scientists and engineers with a broader social sustainability agenda might be advanced.

The study addresses calls for empirical insights into ways that scientists and engineers can commit to organisational sustainability practices based on the configurations of habitus, capital and organisational field.

This paper aims to facilitate the joint assessment of issues related to the agricultural systems, i.e. agriculture, aquaculture and climate change (CC) response strategies, in the coastal districts with a panel of stakeholders; and to evaluate the level of agreement on the topics under consideration and potentially identify the most promising approaches to assessing CC affecting agricultural systems in the area and identify relevant and adequate response strategies.

Stakeholder Delphi technique – its assessment is an interactive method of qualitative research used to facilitate the interactive participation of varied and conceivably hierarchical and antagonistic stakeholder groups.

The most important result for the province is that the impact of climate change on agro-ecological landscapes (poverty and near river areas) is the duration of cold weather, more frequent and extreme. Moreover, Kendall’s W test gave a score of 0.547, which indicates a “strong” stakeholder agreement and the “confidence in ranks” being “high” in Thai Binh (Vietnam).

The scientific results in this study are intended to serve as relevant knowledge-inputs and direct contributions to capacity-building for the local partners (stakeholders and local authorities). These local partners are engaged in policy-making and effective planning and implementation of climate response measures in the districts in the province of Thai Binh.

Unsustainable logging and illegal logging for domestic and international trade and trafficking continue to lead to deforestation. It is crucial that Sustainable Development Goal 15 ‘Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss’ is achieved to maintain the livelihoods of people and protect the planet. This is the case in Vietnam as well, where many people, including indigenous groups, rely on the forest for their survival. Drawing on semistructured interviews in Vietnam and a literature review, we investigate how the abuse of forest policies leads to human insecurity. From this, we propose solutions to (1) end unsustainable harvesting and illegal logging (SDG 15.7), (2) integrate the value of forests (culturally and economically) into national and local planning, the development process and poverty elimination strategies (SDG 15.9) and (3) improve the use of forest protection funding provided by international donors.

The study aims to embrace the lingering call for more empirical studies that can theorize the role of digital platforms in digital entrepreneurship. Hence, this study seeks to reveal the liminal space entrepreneurial experience of third-party application developers, by investigating how the platform boundary resources promote third-party entrepreneurial actions, as they transition through the disoriented, uncertain and ambiguous processes of digital entrepreneurship development.

To conduct this investigation, an expert interview qualitative method was used. This approach is a well-established technique in the field of social sciences, which allowed a detailed exploration of the theory of liminality. Liminality refers to the transitional phase that individuals or groups experience when moving from one social or cultural context to another. The expert interview method is appropriate for this study because it involves engaging with knowledgeable individuals who have extensive experience and expertise in the subject area being investigated. Through in-depth and unstructured interviews, the experts were able to provide valuable insights and perspectives about the phenomenon investigated.

The research findings demonstrate that digital platform boundary resources play a significant role in the behaviour of third-party developers’ who engage in the development of digital entrepreneurship in today’s market. The study highlights three ways that show how these resources (software development kit (SDK), API, integrated development environment (IDE), libraries, frameworks) enable third-party developers to create new applications that are used to pursue entrepreneurship in a digital platform, leading to increased user engagement and revenue generation.

The research addresses the critical roles of digital platform boundary resources in digital entrepreneurship development processes. Also, using liminality theory, the research explicated the core experiences of third-party developers as they navigated the challenges and ambiguities experienced in the pursuit of entrepreneurship. Thus, contributing to the existing body of knowledge in literature and practice.

The purpose of this study is to examine the factors that influence the consumer intention to adopt Islamic banking.

The study extends the theory of reasoned action (TRA) by incorporating additional variables such as government support, perceived risk, perceived image, religiosity and culture. A research instrument adapted from previous studies is administered online on a sample of 310 respondents. The data collected are subjected to exploratory factor analysis followed by structural equation modeling using SPSS and analysis of a moment structures (22.0 Version).

The results of the study reveal that consumer intention to use Islamic banking is collectively determined by attitude, religiosity, culture, government support and perceived risk. It reflects that attitude and religiosity are the major predictors of a consumer’s intention followed by government support. Furthermore, results indicate that a consumer’s attitude toward Islamic banking is determined by social influence, government support, religiosity and perceived risk. Also, it is found that culture and perceived image have no significant effect on a consumer’s attitude toward adoption of Islamic banking. Further, the results indicate that attitude mediates the effect of religiosity, perceived risk, government support and culture on a consumer’s intention to use Islamic banking.

The success of Islamic banking ultimately depends on consumer readiness and adoption of it. This study provides significant insights into various aspects of consumer attitude and intention toward Islamic banking adoption. The results provide vital inputs to policymakers and practitioners in offering and promoting Islamic banking. Also, the knowledge and understanding of key consumer specific factors can be used by banks in framing strategies for positioning and targeting Islamic banking products. The study is subjected to certain limitations such as – the study accounts only for limited factors and does not provide for factors such as pricing, behavioral control and Islamicity of the product. Second, this study is limited to the geographic area of Kashmir. Third, the study design is cross-sectional is nature.

Essentially, this study is a pioneering effort in applying an integrated TRA model to determine consumer intention to use Islamic banking in Kashmir. Furthermore, the current study examines the relationship between additional variables simultaneously within the framework of TRA. The study also explores the effect of religiosity and culture on consumer’s attitude and intention, which has remained largely unexplored in the context of Islamic banking.

The purpose of this study is to investigate factors that affect smallholders' adoption of organic rice production in the Hai Lang district of Vietnam.

This study employed a cross-sectional survey research design. A sample size of 215 was drawn from a total of 455 smallholders. Descriptive and inferential statistics, including a binary logistic regression, were used to analyse the data.

The study concludes that younger female smallholders participating in credit/training programs and community-based organisations, who have a high level of education, a large household size and more experience in rice farming, and who grow mixed crops, have a greater tendency to adopt organic rice production.

A combination of demographic, socio-economic and institutional characteristics of rice smallholders should be considered when promoting organic rice farming practices by smallholders and when choosing organic agricultural development strategies for smallholders in developing countries.

This research provides significant understanding of the determinants of organic rice adoption by smallholder farmers and highlights factors that need to be considered when designing policies to enhance the uptake of organic farming in developing countries.