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Business models (BMs) are becoming increasingly crucial for value creation in the healthcare sector. The study explores the conceptualization and application of BM concepts within the healthcare sector and investigates their evolution in emerging economies (EEs) and developed economies (DEs). This study aims to uncover these two contexts' shared characteristics and unique variances through a comparative analysis.

The paper systematically investigates and consolidates the literature on healthcare by employing the antecedents, decisions and outcomes (ADO) framework and finally examines 71 shortlisted articles published between 2003 and 2022.

The recognition of the BM within healthcare is increasing, both in EEs and DEs. EEs prioritize value creation and capture through cost efficiency, while DEs focus on innovation. Key theories employed include a resource-based view, the network theory and the theory of innovation. Case studies are commonly used as a methodology. Further research is needed to explore the decisions and outcomes of BMs.

The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.

Beyond comparing and highlighting gaps in BMs between EEs and DEs, benchmarking DE's healthcare business models (HBMs) helps healthcare organizations in EEs align their practices, mitigate risks and establish efficient healthcare systems tailored to their specific contexts. The study adopts stringent filtration and keyword criteria, potentially excluding relevant research. Future researchers are encouraged to broaden their selection criteria to encompass a more extensive range of relevant studies.

The study analyzes HBMs using an SLR framework perspective and provides practical implications for academicians and practitioners to enhance their decision-making.

The purpose of this paper is to investigate how perceived organisational support (POS) enhances the well-being of migrant workers in Taiwan by strengthening their resilience. In addition, the moderating role of ethical leadership in this association was investigated based on the conservation of resources (COR) theory.

The data were gathered from migrant workers from Southeast Asian countries, including Vietnam, Indonesia, Thailand and the Philippines with structured questionnaires during the COVID-19 pandemic. A total of 420 samples were analysed by testing the mediation and moderation model.

The results showed a significant effect of POS on migrant workers' well-being in Taiwan through the mediating role of resilience. Moreover, ethical leadership moderated the effect of POS on employee resilience and work well-being.

The sample was restricted to Southeast Asian migrant workers who were employed in industrial sectors in Taiwan. The study considered several demographic variables, including language proficiency, nationality and marital status, which could result in cultural and language biases. A cross-sectional design and self-reported data were utilised, which could potentially create common method variance biases and inflated correlations across the research variables.

The present study may be helpful to organisational leaders in the process of designing approaches for promoting a people-oriented and harmonious workplace. Employee well-being can be strengthened through employee resilience (individual factors), as well as POS and ethical leadership (organisational factors).

This study supports the use of COR theory in confirming POS as a resource that strengthens employees' resilience capabilities and work well-being. Employee resilience serves as a mediator of the relationship between POS and employee well-being. Ethical leadership serves as a moderator in strengthening the relationships between POS and employee resilience, as well as between POS and work well-being of migrant workers.

This study aims to examine how entrepreneurial climate, gender inequality perception and self-efficacy affect female students’ entrepreneurial attitudes and intentions, with the moderating role of perceived family support.

This study collected data from 466 female students studying at universities in an emerging economy, i.e. Vietnam. This study assessed the proposed relationships between the examined variables using partial least squares structural equation modeling.

The results reveal that entrepreneurial climate, as a stimulus factor, significantly influences organism factors, including gender inequality perception, self-efficacy and attitude toward entrepreneurship. Furthermore, gender inequality perception is identified as a barrier to self-efficacy, attitude toward entrepreneurship and entrepreneurial intention. Also, self-efficacy positively influences attitudes toward entrepreneurship and both factors jointly predict entrepreneurial intention. Lastly, perceived family support moderates the relationships between entrepreneurial intention and its antecedents.

This study extends the extant knowledge about the factors affecting women’s entrepreneurial attitudes and behavior, especially in emerging economies. This study’s findings assist university managers, policymakers and researchers in developing effective strategies to reduce the adverse effects of gender inequality perception and promote women's entrepreneurial behavior.

This study aims to investigate the association between corporate governance (CG) and the corporate social responsibility (CSR) information disclosure as well as the moderating role of state-ownership between CG and CSR disclosure.

To examine the relationship between CG and CSR disclosure, this study used the feasible general least squares and generalized method of moments method on a sample of 165 non-financial quoted companies over the 2015–2018 period, which account for about three-fourths of the Vietnamese stock exchange.

The findings suggest that enterprises with smaller board size consisting mainly of independent directors have a higher CSR disclosure level. Moreover, when the chief executive officer is concurrently the chairman of the board, the level of CSR disclosure falls. Additionally, the moderating role of state ownership enhances CSR disclosure.

The empirical results of this study form a solid foundation for policymakers and other stakeholders’ decisions in investing or establishing policies.

This study provides empirical evidence on the relationship between CG and CSR disclosure in Vietnam – a developing country with no legal requirement on CSR disclosure. Moreover, this study emphasizes the moderating role of state ownership between CG and CSR disclosure, which clarifies the role of state ownership in establishing CG mechanisms.

This study aims to explore the synergistic effect of oxide nanoparticles (ZnO, Fe₂O₃, SiO₂) and cerium nitrate inhibitor on anti-corrosion performance of epoxy coating. First, cerium nitrate inhibitors are absorbed on the surface of various oxide nanoparticles. Thereafter, epoxy nanocomposite coatings have been fabricated on carbon steel substrate using these oxide@Ce nanoparticles as both nano-fillers and nano-inhibitors.

To evaluate the impact of oxides@Ce nanoparticles on mechanical properties of epoxy coating, the abrasion resistance and impact resistance of epoxy coatings have been examined. To study the impact of oxides@Ce nanoparticles on anti-corrosion performance of epoxy coating for steel, the electrochemical impedance spectroscopy has been carried out in 3% NaCl solution.

ZnO@Ce3+ and SiO2@Ce3+ nanoparticles provide more enhancement in the epoxy pore network than modification of the epoxy/steel interface. Whereas, Fe2O3@Ce3+ nanoparticles have more to do with modification of the epoxy/steel interface than to change the epoxy pore network.

Incorporation of both oxide nanoparticles and inorganic inhibitor into the epoxy resin is a promising approach for enhancing the anti-corrosion performance of carbon steel.

This paper aims to design a PD controller for an active suspension system to improve the car’s moving smoothness.

The controller parameters are optimized by an in-loop genetic algorithm (iL-GA). Unlike previous studies that only used conventional GAs to tune coefficients for the controller, the iL-GA designed in this paper provides outstanding efficiency when determining the optimal value range for the system. The optimal value range of parameters is determined by the in-loop algorithm based on criteria related to systematic errors. The optimal values are then calculated by the GA based on this range instead of an uncertain one.

Simulation results show that vehicle body acceleration and displacement values are significantly reduced when using the active suspension system compared to the conventional passive suspension system. The phase difference phenomenon does not occur in the iL-GA situation. In addition, the frequency domain investigation also shows the system’s stability when using iL-GA instead of conventional GA.

To the best of the authors’ knowledge, this is a new application that provides positive effects to the suspension controller. This algorithm can be applied to tune coefficients for direct controllers in the future.

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.

This paper aims to explore how graphene can improve the mechanical and anti-corrosion properties of TiO₂-SiO₂ sol-gel coating. This sol-gel coating has been prepared on aluminum alloy substrate using graphene as both nano-filler and corrosion inhibitor.

To examine the effect of graphene on mechanical properties of sol-gel coating, the abrasion resistance, adhesion strength and scratch resistance of coating have been evaluated. To reveal the effect of graphene on the anti-corrosion property of coating for aluminum alloy, the electrochemical impedance spectroscopy (EIS) has been conducted in 3.5 Wt.% NaCl medium.

Scanning electron microscopy images indicate that graphene nanoplatelets (GNPs) have been homogeneously dispersed into the sol-gel coating matrices (at the contents from 0.1 to 0.5 Wt.%). Mechanical tests of coatings indicate that the graphene content of 0.5 Wt.% provides highest values of adhesion strength (1.48 MPa), scratch resistance (850 N) and abrasion strength (812 L./mil.) for the sol-gel coating. The EIS data show that the higher content of GNPs improve both R₁ (coating) and R₂ (coating/Al interface) resistances. In addition to enhancing the coating barrier performance (graphene acts as nanofiller/nano-reinforcer for coating matrix), other mechanism can be at work to account for the role of the graphene inhibitor in improving the anticorrosive performance at the coating/Al interface.

Application of graphene-based sol-gel coating for protection of aluminum and its alloy is very promising.

This paper aims to examine the effects of investor sentiment on the development of the real estate corporate bond market in Vietnam.

The research uses an autoregressive distributed lag (ARDL) model with quarterly data. Additionally, the study employs Google Trends search data (GVSI) related to topics such as “Real Estate” and “Corporate Bond” to construct a sentiment index.

The empirical outcomes reveal that real estate market sentiment improves the growth of the real estate corporate bond market, while stock market sentiment reduces it. Also, there is evidence of a long-run negative effect of corporate bond market sentiment on the total value of real estate bond issuance. Further empirical research evidences the short-term effect of sentiment and economic factors on corporate bond development in the real estate industry.

Due to difficulties in collecting data, this paper has the limited sample of 54 valid quarterly observations. Moreover, the sentiment index based on Google search volume data only reflects the interest level of investors, not their attitudes.

These results yield important implications for policymakers in respect of strengthening the corporate bond market platform and maintaining stability in macroeconomic and monetary policies in order to promote efficient and sustainable market development.

The study offers some suggestions for regulators and governments to improve the real estate corporate bond market.

This is the first quantitative study to examine the effect of sentiment factors on real estate corporate bond development in Vietnam.

This study aims to combine two theories, the Theory of Planned Behaviour (TPB) and the Norm Activation Model (NAM), to investigate the relationship between the awareness of reducing single-use plastic waste's environmental cost and the behaviour to limit the use of single-use plastic products (SUPPs) by FPT university students.

Quantitative research methodologies were employed on a sample of 506 university students. The survey data was then examined using SPSS, SPSS AMOS and SmartPLS software.

The overarching conclusion of the study is that awareness of reducing single-use plastic waste's environmental cost has a positive impact on FPT university students' behaviour to reduce their use of single-use plastic products. Another intriguing discovery is how socialisation of responsibility affects pro-environmental behaviour through the interplay between personal norms, subjective norms and behavioural intention.

This study on the relationship between SUPP low-consumption awareness and behaviour and mediating factors is a necessary foundation for future studies related to changing the behaviour of students using SUPPs. That will also be a solid foundation for practical plans to change behaviour using SUPPs through communication campaigns to increase awareness.