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This study aims to investigate whether the changes in gender composition of bank board affects Vietnamese bank stability efficiency.

This research covers a panel of 27 commercial banks in Vietnam over a 14-year period from 2007 to 2020. The two-step system generalized method of moments is used to estimate the gender diversity–Vietnamese bank stability efficiency nexus.

The authors find that a greater degree of board gender diversification enhances bank stability efficiency and reduces bank risk-taking in Vietnam. The relationship between gender diversity and the stability efficiency of Vietnamese banks is still valid under the influence of regulatory capital sufficiency and during the financial crisis. These findings are robust to alternative proxies for risk indicators and consistent with the perspectives of stakeholder and behavior theory.

Although this research revisits the relationship between gender diversity and bank risk-taking, it is the first attempt to explore the role of women on board in enhancing the stability efficiency of banks, using the stochastic frontier approach. These findings shed light on the function of gender diversity as a governance instrument for mitigating risk in an emerging market context.

The paper aims to provide an efficient dispatching schedule for ready-mix concrete (RMC) trucks and create a balance between batch plants and construction sites.

The paper focused on developing a new metaheuristic swarm intelligence algorithm using Java code. The paper used statistical criterion: mean, standard deviation, running time to verify the effectiveness of the proposed optimization method and compared its derivatives with other algorithms, such as genetic algorithm (GA), Tabu search (TS), bee colony optimization (BCO), ant lion optimizer (ALO), grey wolf optimizer (GWO), dragonfly algorithm (DA) and particle swarm optimization (PSO).

The paper proved that integrating GWO and DA yields better results than independent algorithms and some selected algorithms in the literature. It also suggests that multi-independent batch plants could effectively cooperate in a system to deliver RMC to various construction sites.

The paper provides a compelling new hybrid swarm intelligence algorithm and a model allowing multi-independent batch plants to work in a system to deliver RMC. It fulfills an identified need to study how batch plant managers can expand their dispatching network, increase their competitiveness and improve their supply chain operations.

This study examines the impact of entrepreneurship education on the social entrepreneurship intentions of undergraduate students with a focus on the mediating effects of individual capital, such as human, social and cultural capital.

This study adopted a quantitative approach with data collected from 392 third- and fourth-year students studying at a private university in Vietnam through a self-administered survey. The data were analysed using partial least squares structural equation modelling.

The results show that entrepreneurship education positively impacts the social entrepreneurship intentions of undergraduate students. Furthermore, this study reveals that social and cultural capital serve as mediators in this relationship, whereas the mediating role of human capital was not supported.

The study findings highlight the crucial role of higher education institutions in promoting and implementing formal entrepreneurship education. It also emphasises the importance of supporting enhancement of students' individual capital through social and cultural activities to foster their intentions to engage in social entrepreneurship.

This study adds to the current literature on social entrepreneurship intentions by highlighting the significance of entrepreneurship education provided by universities and the roles of individual capital, such as social and cultural capital, in mediating the impact of entrepreneurship education on social entrepreneurship intentions.

The study estimates the willingness to pay for organic oranges and identifies its influencing factors among consumers in the Mekong Delta, Vietnam.

The study used survey data from 413 households in the Mekong Delta from March 2022 to July 2022. The choice experiment (CE) and contingent valuation method (CVM) were employed to analyze consumers’ willingness to pay (WTP). STATA 17 software was used to analyze research data in the logit model and mixed logit model.

The research results from the CVM approach show that a number of demographic characteristics have a direct impact on WTP, such as education, educational attainment, family size, the presence of children and the elderly in the household, food safety and environmental awareness. The CE model shows product attributes that influence consumers’ WTP, such as country of origin, traceability, quality grade, organic certification, ecolabel and organic content. Both approaches show that price is the main barrier to organic orange consumption.

The study surveyed four large cities in four provinces representing the Mekong Delta region.

Our study helps administrators have a deeper insight into consumer preferences and behavior, specifically the factors that affect consumers' WTP, an important indicator of demand for the success of manufacturers and marketers in developing as well as improving marketing strategies. Knowledge of a product’s WTP on behalf of (potential) customers plays an important role in many areas of marketing management, such as pricing decisions or new product development.

Furthermore, this understanding will inform policymakers about the future of agricultural markets in Vietnam and help them better prepare for the making of sustainable agricultural policies. Develop organic agriculture to both protect human health, protect the living environment and protect the soil from degradation, ensuring sustainable agricultural production. This is also one of the measures to help people stay away from diseases to limit the social burden.

The study confirms that both CVM and CE models can be used to estimate WTP. However, CVM fits the overall WTP estimate, while CE is more appropriate when estimating WTP for individual scenarios through combining attributes with different levels.

Employee engagement is vital for organizational success, driving productivity, innovation, and commitment. While leadership significantly impacts engagement, the precise mechanisms remain under investigation. This study explores how transformational leadership influences work engagement through the lens of meaningful work perception and employee well-being.

The research employed quantitative methods, surveying 391 Vietnamese faculty members. Data analysis utilized SPSS and structural equation modeling partial least squares (SEM PLS).

Results indicate that transformational leadership positively affects perceived work meaningfulness, employee well-being and work engagement. Notably, meaningful work perception mediates the relationship between transformational leadership and the other two factors.

These findings offer practical insights for universities seeking to enhance employee engagement. They highlight the importance of fostering transformational leadership styles and creating an environment where employees perceive their work as meaningful.

Drawing upon the trust transfer theory and IS success model, this study investigates the transfer mechanism and the antecedents of trust to the platform and trust to a food vendor in the FDA, which subsequently affect users’ behavioral intention.

Data collection was carried out through an online questionnaire via the Prolific platform. Respondents were exclusively selected from Uber Eats users in the US market due to the popularity of this food delivery app and the volume of food delivery transactions in this country.

The findings confirmed the trust transfer between trust in the platform and trust in the food vendor, ultimately contributing to users’ continuance usage intention and purchase intention. Our empirical results also show that system quality and service quality lead to trust-in-platform, while product presentation richness, vendor reputation and social referrals enhance trust in food vendors.

The results offer valuable insights for FDA providers and food vendors to offer better user experiences to foster trust, enhance purchase intention and retain their commitment to the platform.

Unlike past research in an e-commerce context that mainly concentrates on the role of trust in general or trust in the platform, this study expands the understanding of trust-related research by exploring the predictors and consequences of both trust toward the platform and trust toward the vendors in the FDA settings.

Customer incivility is a crucial issue that has multiple negative effects on organizations, especially in the hospitality industry. This study identified the antecedents of customer incivility and investigated its outcomes on frontline employees (FLEs) in the emerging market of Vietnam.

This study used a quantitative methodology featuring interviews with 476 FLEs who frequently experienced customer incivility in Vietnamese restaurants and hotels. The data were analyzed using structural equation modeling.

The findings demonstrated four antecedents of customer incivility (training/knowledge, FLE incivility, service orientation, and environment) and three outcomes (revenge motivation, service sabotage, and turnover intention), as well as the mediating role of revenge motivation.

Managers can establish and upgrade training lessons with different syllabi for numerous FLE groups to improve staff perceptions and enhance the organization’s service orientation and environment, which can support the minimization of revenge motivation, service sabotage, and turnover intention among frontline staff members.

This study highlights how impactful customer incivility is and how to eliminate it by clarifying its origins and effects in Vietnamese hotel and restaurant organizations.

As emerging e-course providers after the COVID-19 crisis, universities (UNI) policymakers in the Mekong Delta region (MDR) have faced difficulties owing to limited clues about what factors improve student retention and recruitment. This study aims to determine important factors (IF) for student satisfaction with e-course adoption (e-satisfaction) for student retention and recruitment.

Survey data collected from 850 students of the target UNI were analyzed using the DT-fuzzy DEMATEL method. Input factor dimensions included course design, technical infrastructure, interaction, teacher-related and student-related factors. Decision Trees (DT) confirmed the final factors; fuzzy decision-making trial and evaluation laboratory (DEMATEL) was used to establish the cause-effect relationships among these factors.

DT-fuzzy DEMATEL method can identify satisfied and dissatisfied students (accuracy = 94.95%) and determine IFs successfully. The most IFs included new and useful knowledge/information provided, various effective teaching methods and motivation to read provided learning materials.

Although e-satisfaction has been the focus of theories and practices, e-satisfaction in an emerging region like MDR has been studied here for the first time. Most IFs can be used as predictors for e-satisfaction and serve as a primary reference for UNIs’ policymakers. Several practical suggestions were also provided for the sustainable and long-term development of e-programs.

This study explores the effect of local budget retention rate changes (RER) on total factor productivity (TFP) and its components in Vietnam.

The study employs a two-system generalized method of moments (GMM) estimator and data from 2012 to 2019 across all 63 provinces/cities of Vietnam.

The study finds that local budget retention rates significantly influence public investment, affecting scale and allocation efficiency. The reallocation of budgets between regions and from the central government to local levels incurs certain costs, often resulting in economically robust provinces experiencing reductions in their retention rates.

Recognizing the challenges of immediate structural budget changes due to cultural and historical factors, the study suggests a more gradual policy approach. It emphasizes the importance of policy predictability, as abrupt reductions in the retention rate lead to higher costs than gradual reductions, thus implementing budget policies with a clearer timeline. This study provides insight into local budget allocation regimes and their impact on productivity in transitioning countries.

First, the study provides fresh evidence of the impact of retention rate changes on TFP and its components in Vietnam. Second, the study provides insights into the mechanisms of the nexus of increased budget spending, capital efficiency and, most importantly, attaining improvement in education. We also offer further insights into inefficient budget allocation agents in Vietnam, especially in large cities, which should alert scholars to explore this topic further in the future.

Green finance aims to promote sustainable financial activities, environmental conservation and ecological balance. This study examines how renewable energy consumption (REN), technological innovation (TEC) and green finance (GRF) influence CO2 emissions in Vietnam from 2000 to 2022.

We utilize a novel three-stage methodology including quantile-on-quantile regression, wavelet coherence and wavelet-quantile regression to explore the relationship in the structure of intercorrelation in terms of quantile, time and frequency.

The findings show that Vietnam will increase environmental quality for higher green development. Specifically, there is a negative influence of TEC, REN and GRF on CO2 emissions across different quantiles and timescales.

The study recommends policies that support green development and reduce carbon emissions, such as increasing the use of renewable energy and conducting well-planned research to achieve a carbon-free, sustainable environment.

This article looks into the effects of GRF, TEC and REN on CO2 emissions in Vietnam. Some studies argue that green development in underdeveloped nations is insufficient to reduce CO2 emissions, thereby limiting the sample to a few advanced economies. Adopting diverse methodologies demonstrates the varied and intricate nature of understanding CO2 drivers. Additionally, our work makes detailed policy implications for Vietnam to meet its net-zero emission target and achieve sustainable development by 2050.