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This paper describes the development of a digital role play game (RPG) designed to help construction apprentices to better communicate with their supervisors about issues with the potential to impact on their physical and psychological health and safety.

A participatory approach was adopted to utilise the knowledge and insights of the target users to inform the digital RPG development. Apprentices and supervisors were interviewed to identify characteristics of effective supervisor-apprentice communication, which became the RPG’s learning objectives. The scenarios constructed in the RPG were drawn from lived experiences shared by the apprentices in the interviews. During the development process, consultations were conducted with an advisory committee comprising of apprentices and supervisors to improve the realism of the RPG scenarios.

Three scenarios were developed for the RPG. In each scenario, players are asked to make decisions at various interaction points about how the characters should respond to the unfolding and challenging situations. Scripts were developed for the game, which were acted out and motion captured to animate digital MetaHuman characters embedded in a virtual construction site. Two example situations are introduced in this paper to illustrate the development process.

To our knowledge, the RPG introduced is one of the first applications of digital game-based training in the construction industry. The adoption of a participatory design approach ensures that the game content relates to real-world experiences. The digital RPG is highly interactive and engaging in nature and presents a novel approach to developing “soft” skills in construction.

Little econometric evidence exists on the determinants of nonfarm participation among ethnic minorities in Vietnam. The purpose of this paper is to examine the intensity of nonfarm participation and its correlates among ethnic minority households in Northwest Mountains – the poorest region of Vietnam.

Factors affecting the level of nonfarm participation were examined by using a fractional logit model. In addition, regression analysis using analysis of variance models were used to compare the mean of household characteristics and assets between households with and without nonfarm employment.

The study found that households depended heavily on agriculture for subsistence and their access to nonfarm employment is very limited. Households with nonfarm employment had much higher levels of education, income, assets and a much lower level of poverty than those without nonfarm participation. The intensity of nonfarm participation is positively associated with education levels, proportion of male working members and fixed assets but negatively correlated with the size of annual crop land and water surface for aquaculture. Also, the presence of nonfarm opportunities and paved roads in a commune increases the intensity of nonfarm participation for households living in that commune.

The findings suggest that any poverty alleviation policies should aim at improving the access of ethnic minorities to education and nonfarm job opportunities.

The study offers the first evidence of factors affecting the intensity of nonfarm participation among ethnic minorities in the study area.

Single-party regimes increasingly use Subnational Performance Assessments (SPAs) – rankings of provinces and districts – to improve governance outcomes. SPAs assemble and publicize information on local government performance to facilitate monitoring and generate competition among officials. However, the evidence are sparse on their effects in this context. The authors argue that built-in incentive structures in centralized single-party regimes distort the positive impact of SPAs.

The staggered rollout of the Vietnam Provincial Governance and Public Administration Performance Index (PAPI) created a natural experiment. Due to 2010 budget constraints, the first iteration of the PAPI survey covered only 30 of Vietnam’s 63 provinces before covering all in 2011. The PAPI team used matching procedures to identify a statistical twin for each province before randomly selecting one from each pair. The authors use randomization inference to compare the outcomes of these control and treatment groups in 2011.

Exposure to PAPI helped improve almost all aspects of governance; however, significant evidence of prioritization bias exist. The positive effects only persisted for the dimension of administrative procedures, which was the one area of governance that was prioritized by the central government at the time. Other dimensions only registered short-term effects.

Our study provides an examination of the impact of SPAs in a single-party regime context. In addition, the authors leverage the natural experiment to identify information effects causally. The authors also look past short-term effects to compare outcomes for five years after the treatment occurred.

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 purpose of this paper is to expand and analyze deeply customer emotions, concretize the levels of positive or negative emotions with the aim of using machine learning methods, and build a model to identify customer emotions.

The study proposed a customer emotion detection model and data mining method based on the collected dataset, including 80,593 online reviews on agoda.com and booking.com from 2009 to 2022.

By discerning specific emotions expressed in customers' comments, emotion detection, which refers to the process of identifying users' emotional states, assumes a crucial role in evaluating the brand value of a product. The research capitalizes on the vast and diverse data sources available on hotel booking websites, which, despite their richness, remain largely unexplored and unanalyzed. The outcomes of the model, pertaining to the detection and classification of customer emotions based on ratings and reviews into four distinct emotional states, offer a means to address the challenge of determining customer satisfaction regarding their actual service experiences. These findings hold substantial value for businesses operating in this domain, as the findings facilitate the evaluation and formulation of improvement strategies within their business models. The experimental study reveals that the proposed model attains an exact match ratio, precision, and recall rates of up to 81%, 90% and 90%, respectively.

The study has yet to mine real-time data. Prediction results may be influenced because the amount of data collected from the web is insufficient and preprocessing is not completely suppressed. Furthermore, the model in the study was not tested using all algorithms and multi-label classifiers. Future research should build databases to mine data in real-time and collect more data and enhance the current model.

The study's results suggest that the emotion detection models can be applied to the real world to quickly analyze customer feedback. The proposed models enable the identification of customers' emotions, the discovery of customer demand, the enhancement of service, and the general customer experience. The established models can be used by many service sectors to learn more about customer satisfaction with the offered goods and services from customer reviews.

The research paper helps businesses in the hospitality area analyze customer emotions in each specific aspect to ensure customer satisfaction. In addition, managers can come up with appropriate strategies to bring better products and services to society and people. Subsequently, fostering the growth of the hotel tourism sector within the nation, thereby facilitating sustainable economic development on a national scale.

This study developed a customer emotions detection model for detecting and classifying customer ratings and reviews as 4 specific emotions: happy, angry, depressed and hopeful based on online booking hotel websites agoda.com and booking.com that contains 80,593 reviews in Vietnamese. The research results help businesses check and evaluate the quality of their services, thereby offering appropriate improvement strategies to increase customers' satisfaction and demand more effectively.

The aim of this study is to investigate how corporate social responsibility (CSR) contributes to organizational citizenship behavior for the environment (OCBE) among employees in hotel industry. Corporate green brand should be built not only from the provision of green products or services but also from green behavior among employees in their daily activities. This study also seeks the understanding of the moderating effects of corporate entrepreneurship (CE) and employees’ attachment styles on the relationship between CSR and OCBE.

The data for testing the study model were harvested from respondents in the hotel industry in Vietnam business context.

The research results unveiled the positive effect of CSR on OCBE and the roles of CE and employee attachment styles in moderating this effect.

Hospitality organizations should integrate CSR initiatives into their sustainable strategy to shape employee OCBE. Entrepreneurial values should also be cultivated among employees to drive them to further respond to CSR initiatives and engage in OCBE.

This study expands CSR and green research streams by identifying the effect of CSR on OCBE among hotel employees as well as moderation mechanisms of CE and employee attachment styles for such an effect.

Drought and salinity intrusion aggravated by climate change threaten agricultural livelihoods in Viet Nan's Mekong Delta. In response, authorities have built water management infrastructure for irrigation and salinity protection. This study assessed the impact of one such project, the Ba Lai dam in Ben Tre province, on the livelihoods of aquaculture farmers.

This study uses the Sustainable Livelihoods Framework to assess the impact of the Ba Lai dam on the livelihood capitals of 18 farming households in four communes, located both upstream and downstream of the dam.

The authors find that, apart from some positive effects, the dam has also brought negative environmental consequences, such as increased water pollution. The authors also find that farmers have responded to the changes by adapting their livelihood practices.

The samples were relatively small, encompassing four communes in Ben Tre province. On the other hand, this case study is instructive to the many ongoing infrastructure projects in the Vietnamese Mekong Delta.

The project have caused an increase in water-related social conflict.

The case of the Ba Lai dam provides a cautionary example for infrastructure-based water management plans, both in Viet Nam and more broadly. The study suggests the need to strengthen community participation and prioritize impacts of farmers' capital assets when constructing water management infrastructure for climate change adaptation.

This study aims to consider the anti-money laundering/combating of financing of terrorism (AML/CFT) regime that applies to microfinance institutions (MFIs) and microfinance programmes and projects (MFPs) in Vietnam to identify ways in which to improve the alignment between financial inclusion and financial integrity objectives in relation to this sector.

This doctrinal study is informed by the Financial Action Task Force mutual evaluation methodology.

The AML/CFT regulatory framework for MFIs/MFPs is inadequate but improving. The money laundering and terrorist financing risks posed by microfinance are low and so is the capacity of many providers to comply with AML/CFT obligations. Given the low risk, there is space to simplify AML/CFT requirements for this sector in a manner that will better align financial inclusion and financial integrity policy objectives.

This paper considers the implementation of AML/CFT obligations of MFIs/MFPs based on existing studies as well as own research relating to compliance and supervisory practices. Further empirical studies to determine for the whole microfinance sector could provide a more granular understanding of crime risks and compliance capacities in the sector.

AML/CFT regulators in Vietnam can take concrete steps to simplify the AML/CFT due diligence obligations of MFIs/MFPs and support these institutions to formalise and implement appropriate AML/CFT measures.

MFIs/MFPs play a vital socio-economic role by providing financial services to the poor. Appropriate AML/CFT control measures can enable these providers to continue providing these services while strengthening economic formalisation and integrity goals of the government.

The paper provides novel supervisory perspectives on the AML/CFT regime in relation to MFIs/MFPs.

Located at the center of the Red River Delta, Hanoi is the consequence of the unstable balance between soil and water and has witnessed the amicable and adverse relationship between the two elements over a long history. Established as a small town in A.D. 210, Hanoi grew from a harbor on the bank of the Red River to a thriving city and was chosen to be the capital of Vietnam in 1010 as the site had advantageous physical, landscape, and geomancy characteristics. However, the capital had also been confronted with difficulties due to the alluvial process, which raises the level of the watercourse above its normal elevation forcing the inhabitants to take measures such as building a dyke to prevent floods. This chapter analyzes the natural and social conditions as well as several problems that have been affecting urban flood risk management in Hanoi. The chapter ends with practical options and policy measures to address the problems.

This study examines the evidence of the impact of climate change on the financial performance of basic materials companies in Vietnam.

The research sample includes eighty-two basic materials companies listed on the Vietnamese stock market from 2003 to 2022. This study used one-way and two-way fixed-effects feasible generalized least squares (FGLS) estimation methods.

Climate change, measured through variables including changes in temperature, average rainfall, greenhouse gas emissions and rising sea levels, has a negative impact on the financial performance of companies in this industry. The study also found that, with rising temperatures, the financial performance of steel manufacturing companies decreased less than that of coal mining and forestry companies, but increasing greenhouse gases and rising sea levels reduced the financial performance of steel companies. We did not find evidence of any difference in the impact of climate change on the financial performance of basic materials companies before and after the UN Climate Change Conference (COP 21). This is a new finding, which is consistent with empirical studies in Vietnam and different from previous studies in that it provides new evidence on the impact of climate change on the financial performance of basic materials companies in the Vietnamese market and cross-checks the impact of climate change by sector and over time.

To the best of our knowledge, this is one of the first articles on climate change and the financial performance of basic materials companies.