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This study aims to investigate the trend of research on universities and accountability (UAA) in Southeast Asian (SEA) countries.

A total of 115 journal articles, conference papers, books and book chapters were obtained from the Scopus database spanning the years 1996–2023. These documents were subsequently analyzed using bibliometric methods.

The majority of UAA in SEA documents were published between 2007 and 2023 (106 documents, 92.19%). Scholars from both SEA countries and outside the region, particularly Australia, co-authored UAA in SEA documents. While scholars from Vietnam contributed the highest number of UAA in SEA publications (30 documents), scholars from Australia received the highest number of citations (878 citations). Collaboration between Vietnam and Australia emerged as the most productive partnership in conducting studies on UAA in SEA. Additionally, UAA in SEA documents were published not only in education-related outlets but also in other sectors, particularly in public policy. Furthermore, studies on UAA in different countries exhibited both similar and dissimilar interest keywords.

This study represents the first bibliometric analysis focusing on UAA in SEA literature. The insights and implications derived from this study are valuable for future researchers, university leaders and policymakers.

Over several decades, the Vietnamese government has gradually reduced funding for public higher education and has implemented a cost-sharing system. As a result, Vietnamese universities have had to look for alternative sources of income. While there is a significant emphasis on the importance of revenue diversification in higher education in Vietnam, there is limited empirical data on financing for Vietnamese higher education. The purpose of this paper, therefore, is to estimate the degree of financial sustainability in Vietnamese universities.

The authors used the Hirschman–Herfindahl Index and multiple regression analysis to assess 134 Vietnamese universities’ financial sustainability between 2013 and 2020.

The results revealed that almost all universities in this study were unsustainable due to their weak financial diversity. The age, type of ownership, location, the ratio of lecturers with PhD degrees and land size can affect the financial diversification level of higher education institutions. Our study highlighted that public universities have better financial health than private universities; institutions in rural areas have higher financial diversification than in big cities.

Suggestions for policymakers and university leaders that may enhance financial sustainability include the adoption of tailored strategies based on the university’s characteristics and missions.

This study aims to propose a research model that emphasizes the moderating influence of ethical leadership (ELS) and the link between socially responsible human resource management (SRHRM) and leaders’ eco-helping behavior (LEH) in the aviation industry.

The authors used a time-lag research design. Data were gathered from 397 respondents working for aviation companies in Vietnam and analyzed using SmartPLS 4.0.

The findings show that SRHRM has a beneficial effect on LEH through employees’ voluntary workplace green behavior (EVB). Based on social cognitive theory, this study developed a theoretical model of how SRHRM influences LEH through EVB. The authors discovered that SRHRM increased LEH and that EVB mediated this favorable relationship. Furthermore, the results demonstrate that ELS mitigates the indirect impact of SRHRM on LEH via EVB.

Future studies should assess constructs with numerous observations across time, with a larger sample size and in different industrial settings.

Volunteerism is one of the most important values in the aviation industry given that it is vulnerable to practices such as overbooking, delaying, postponing flights and pressure weather.

This study emphasized the impact of SRHRM and ELS on LEH while fulfilling their professional obligations. EVB may be best positioned to mediate the relationship between SRHRM and LEH.

This study aims to deeply understand customer experiences toward Internet of Things (IoT) applications in retail by developing machine learning models for aspect-based sentiment analysis (SA). It includes creating a related terms dictionary and proposing implications for retail businesses in Vietnam based on these analyses. The ultimate goal is to gain insights into customer opinions and assist administrators in formulating effective digital transformation and business strategies within the Vietnamese market.

Initially, this research uses qualitative methods to identify different aspects of customer experience at stores equipped with IoT applications. Then, quantitative methods were applied through classification machine learning models which were trained on the annotated data set to classify comments into aspects and sentiments. Finally, the classification results were analyzed and visualized to draw implications about customer opinions of these stores.

This study collected 77,042 customers’ comment from potential and actual customers who have ever shopped at retail stores with IoT applications deployed worldwide, identified ten new aspects of customer experience in this field and built a dictionary of related terms. Furthermore, this study contributed two efficient ensemble models with an accuracy of 81% and 89% for analyzing aspects and customer sentiments, respectively. This study also proposes implications for managers regarding the use of IoT technology in retail stores to improve shopping experiences for customers.

This study’s findings help managers develop appropriate digital transformation and business strategies for integrating IoT technology into retail stores, especially for retail businesses in the Vietnamese market based on the analysis results and proposed model.

This study examines the convergence of energy diversification, financial development and per-capita income in OECD countries.

The research employs the club convergence test to assess convergence among OECD countries and uses Granger causality tests and panel regressions to identify the determinants of convergence, using data from 1997 to 2021.

The convergence tests showed no overall convergence but revealed convergence clubs for each factor. Granger causality tests indicated short-run bi-directional relationships between the variables. Long-run panel regression analysis confirmed that technological progress significantly improves per capita income and energy diversification. Additionally, it revealed bi-directional relationships between energy diversification and financial development, a uni-directional relationship from financial development to per capita income and a U-shaped effect of per capita income on energy diversification, with a turning point at $67,112.8 per year.

The findings suggest that within each convergence club, implementing microeconomic incentives for technology development and diffusion in energy, production and financial services could help lagging countries catch up.

This study pioneers the testing of convergence in energy diversification, financial development and per capita income in OECD countries and identifies the determinants of this convergence.

Poor mental health is a well-recognized issue in the construction sector. However, there is still little understanding of factors affecting construction employees’ awareness of mental health problems (MHP). This study aims to investigate the awareness of MHP among construction employees using the Health Belief Model (HBM). The research explores how various factors, such as perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action and self-efficacy, shape MHP awareness within the construction sector.

A structured four-step research methodology was employed. First, a literature review and expert validation identified 28 variables relevant to MHP awareness. A questionnaire was then developed and distributed to construction employees in Vietnam, with 238 valid responses collected. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to validate the evaluation model. After that, fuzzy synthetic evaluation (FSE) was used to assess the importance of each dimension of MHP awareness.

The results indicate that perceived barriers and perceived benefits were the two most significant factors in MHP awareness. The remaining dimensions – perceived susceptibility, perceived severity, cues to action and self-efficacy – were found to have a lesser but notable impact on MHP awareness.

This research comprehensively analyzes MHP awareness among construction employees using the HBM framework. The findings suggested that Vietnamese firms should focus on increasing cues to action and self-efficacy to improve MHP awareness among construction employees. This study also proposed that construction firms should provide more stress-reduction activities and training programs suitable to the Vietnamese context for their employees.