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The purpose of this study is to examine the adoption of the active learning and teaching methods by university lecturers, taking into account the contribution of certain important factors, including trust, empowerment, thinking styles and emotional intelligence. In addition, this study further reveals the diverse nature of university lecturers with regards to their tendencies to adopt active teaching methods using the segmentation technique of marketing.

A structured survey was implemented with university lecturers in Hanoi (Vietnam), obtaining a sample of 218 respondents from six universities. Descriptive analysis was carried out to identify the extent of the adoption of these methods. In addition, cluster analysis and analysis of variance were computed to extract and define the segments of university lecturers.

The findings show that the lecturers, on average, had a tendency to apply active teaching methods. However, the extent of the application of these methods differed among four clusters: “conservatives,” “liberals,” “junior conservatives” and “junior liberals.” In addition, it was found that the degree to which active methods were applied may have been affected by the lecturers' trust in and their empowerment of the students. The application of active methods may also have been influenced by various covert characteristics of the lecturers, including thinking styles (cognition-based) and emotional intelligence (affect-based). The lecturers' overt characteristics, such as age, education and experience, may also have affected their application of active methods, while biological sex seems not to have been a significant factor.

The results of this study expand the literature by explaining the diversity of university lecturers from the perspective of the active teaching and learning methods. They also provide implications for the management of education reform based on the varied implementation of the said methods that has already taken place.

“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.

Based on the contingency theory and resource-based view, this study develops and tests a moderated mediation model explaining the performance implications of the interaction between the accountants’ participation in strategic decision-making (APAR) and accounting capacity (ACAP) in promoting the use of management accounting systems (MAS) toward enhancing firm performance.

Using partial least squares structural equation modeling, the authors tested the proposed model and its hypotheses with survey data from 340 large Vietnamese firms.

The results indicate that (1) MAS act as the full mediator in the positive relationship between APAR and firm performance, and (2) ACAP positively moderates the effect of APAR on the use of MAS.

This study bridges the gap between accounting and strategic management literature by elucidating the mechanism by which the involvement of accountants in strategic issues improves the use of MAS toward enhancing firm performance and increases the current understanding of ACAP as a boundary condition for this mechanism.

This paper examines the effects of sub-national union coverage on the youth's labor market outcomes.

In the context of the private business sector in Vietnam, this study link individual labor market data with union coverage at provincial level in the period 2013–2016 to investigate the effects of sub-national union coverage on the youth's labor market outcomes. Contingent on the outcome variable, we use the OLS and probit model that control for diverse individual characteristics, year- and industry-fixed effects, and particularly control for selection bias in the labor market.

The empirical results show that the union coverage is positively associated with a wide range of the youth's labor market outcomes, including employment status, wage rate, work hour, and job formality. Also, the coverage is complementary to individual labor contract in determining the youth's wage rate.

Our empirical results indicate positive associations between union coverage and the youth's multi-dimensional labor market outcomes, which contribute to this young age cohort's smooth school-to-work transition, provided that the role of trade union is challenged both in developing and developed countries.

This study provides an in-depth study on the interplay between trade union and the youth's labor market outcomes that contributes to the literature of labor market institutions and youth employment policies in a dynamic transitional economy of Vietnam.

This purpose of this paper is to understand residents’ choice of preferred measures and their willingness-to-pay (WTP) for the measures to improve the air quality of Hanoi city.

Questionnaire surveys were conducted to collect the opinions of 212 household representatives living in Hanoi City. The survey tools were tested and adjusted through an online survey with 191 responses. Multivariate probit and linear regression models were used to identify determinants of respondents’ choices of measures and their WTP.

Respondents expressed their strong preferences for three measures for air quality improvements, including: (1) increase of green spaces; (2) use of less polluting fuels; (3) expansion of public transportation. The mean WTP for the implementation of those measures was estimated at about 148,000–282,000 Vietnamese dong, equivalent to 0.09–0.16% of household income. The respondents’ choices appear to be consistent with their characteristics and needs, such as financial affordability, time on roads and their perceived impacts of air pollution. The WTP estimates increase with perception of air pollution impacts, time on roads, education and income; but are lower for older people.

Increase of green spaces can be the measure to which policy makers should pay more attention. The match-up of residents needs and well-informed plans will be an important key to success.

This appears to be the first attempt to test the validity of public opinions on choices of measures for improving urban air quality in Vietnam. Our WTP estimates also contribute to the database on the values of improved air quality in the developing world.

This article aims to draw a conceptual model that integrates the view from the entrepreneurial event model with entrepreneurial education and prior self-employment experience. The model tests the role of entrepreneurial education on the formation of intentions to become an entrepreneur and examines whether prior self-employed experiences moderate the route from entrepreneurial education, entrepreneurial perceived feasibility (PF) and perceived desirability (PD) into the entrepreneurial intention (EI).

The authors operated on a sample of 389 master's students by applying Cronbach's alpha, exploratory factor analysis, confirmatory factor analysis and structural equation modelling to illustrate the links between constructs.

The study found that entrepreneurial education is positively correlated with PF, PD, and intention to enter entrepreneurial activities. PD is determined as a partial mediator in the entrepreneurial education–intention link and full mediator in PF and EI. Moreover, the study revealed that prior self-employed experiences serve as a positive moderator in the path from entrepreneurial education and PD to EI.

The study offers several recommendations based on research findings so as to nurture and promote entrepreneurial activities among master's students.

The current research provides novel insights about the relationship between entrepreneurial education and intentions to become an entrepreneur over and about the central antecedents in the entrepreneurial event model and moderation effects of prior self-employed experiences.

This study aims to examine the factors affecting accounting students’ adoption of artificial intelligence (AI) in Vietnam.

This study employs an empirical analysis based on hand-collected data from 275 accounting students in Ho Chi Minh City, Vietnam. The study model was performed using the partial least squares structural equation modelling methodology, facilitated by SmartPLS 4.0.

The study results show that perceived usefulness, perceived ease of use (PEOU), AI literacy, social influence (SI), facilitating conditions and technology readiness are positively associated with AI adoption by accounting students. The findings suggest the important role of SI in shaping the relationship between PEOU and AI adoption.

This study is limited to universities in Ho Chi Minh City, Vietnam, with a small sample size, which may reduce the generalisability of findings to other cities in Vietnam or other countries due to different regulations. Future research could examine comparative and cross-country analyses within similar institutional settings.

The study findings suggest that universities should consider offering more AI-related subjects to improve students’ AI proficiency and capacity.

This study examines the determinants of AI adoption by accounting students in Vietnam, addressing a previously unexplored area in the literature.

With the advancement of technology, microlearning has emerged as a promising method to improve the efficacy of teaching and learning. This study aims to investigate the document types, volume, growth trajectory, geographic contribution, coauthor relationships, prominent authors, research groups, influential documents and publication outlets in the microlearning literature.

We adapt the PRISMA guidelines to assess the eligibility of 297 Scopus-indexed documents from 2002 to 2021. Each was manually labeled by educational level. Descriptive statistics and science mapping were conducted to highlight relevant objects and their patterns in the knowledge base.

This study confirms the increasing trend of microlearning publications over the last two decades, with conference papers dominating the microlearning literature (178 documents, 59.86%). Despite global contributions, a concentrated effort from scholars in 15 countries (22.39%) yielded 68.8% of all documents, while the remaining papers were dispersed across 52 other nations (77.61%). Another significant finding is that most documents pertain to three educational level categories: lifelong learning, higher education and all educational levels. In addition, this research highlights six key themes in the microlearning domain, encompassing (1) Design and evaluation of mobile learning, (2) Microlearning adaptation in MOOCs, (3) Language teaching and learning, (4) Workflow of a microlearning system, (5) Microlearning content design, (6) Health competence and health behaviors. Other aspects analyzed in this study include the most prominent authors, research groups, documents and references.

The finding represents all topics at various educational levels to offer a comprehensive view of the knowledge base.

This paper analyses Hanoi consumers' evaluation of food risk and response to the perceived risk.

The authors employed the mixed method approach that integrates segmentation analysis on the survey data and information from group discussions.

Based on consumers' risk rating of six food groups and level of food safety worry, the authors identified four distinct consumer segments: low, moderate, high and very-high-risk perception. The authors found the existence of widespread food safety concerns among Hanoi consumers. Living in an urban region was associated with a higher level of food risk perception. Moderate, high and very-high-risk perception segments exhibited a very low level of institutional trust and subjective control over hazards. Response to the perceived risk differed across segments. “Very high-risk perception” was associated with the most risk-averse behaviour, putting more effort into seeking food safety information and engaging more in supermarket purchase. Consumers with a low and moderate perceived food risk participate more in self-supply of food to reduce their food safety concern.

The paper provides empirical evidence on consumers' evaluation of food risk and their risk-reducing strategies to support the risk communication in Vietnam.

Enhancing institutional trust and risk communication including hazard education can improve consumer confidence in food.

This is the first segmentation study on consumer food risk perception in Vietnam.

Shipping is a major source of air pollution, causing severe impacts on the environment and human health, greatly contributing to the creation of greenhouse gases and influencing climate change. The research was investigated to provide a better insight into the emission inventories in the Red River in Hanoi (Vietnam) that is often heavily occupied as the primary route for inner-city waterway traffic.

The total emissions of seven different pollutants (PM₁₀, PM_2.5, SO_x, CO, CO₂, NO_x and HC) were estimated using the SPD-GIZ emission calculation model.

The results show that CO₂ has the most significant contribution to the gas volume emitted: 103.21 tons/day. Remarkably, bulk carriers are the largest emission vehicle, accounting for more than 97% of total emissions, due to their superior number and large capacity.

The result to have a roadmap for making efforts to fulfil its commitment so that it could achieve its net-zero climate target by 2050 in Vietnam as committed at COP26.

In this research, the number of vehicles and types of vessels travelling on the Red River flowing within Hanoi territory and other activity data are reported. The tally data will be used to estimate emissions of seven different pollutants (PM₁₀, PM_2.5, SO_x, CO, CO₂, NO_x and HC) using a method combining both top-down and bottom-up approaches.