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This paper presents the impact of the COVID-19 pandemic on Vietnam's tourism industry to propose appropriate recovery strategies in the future.

This study uses a combination of research methods. Data were collected from the Ministry of Culture, Sports and Tourism, General Statistics Office, Vietnam National Administration of Tourism and Ministry of Health. Non-parametric statistical methods were applied to analyze the differences between epidemic and non-epidemic periods and find correlations between the number of infections and data related to the performance of the tourism industry. In-depth interviews with 20 people linked to tourism activities were conducted to analyze the impacts and propose strategies for future recovery.

The results demonstrate the severe impact of the pandemic on Vietnam's tourism industry based on a decrease in the number of visitors, business activities, revenue and employment rate. Therefore, to recover tourism – Vietnam's key economic sector in the future – developing reasonable strategies to build a safe tourism environment, building a sustainable tourist market, diversifying and improving tourism high-quality tourism products, marketing, human resources, digital transformation and sustainable tourism are necessary, along with the development trend of the industry after COVID-19.

This paper synchronously and systematically presents the effects of COVID-19 on Vietnam's tourism industry based on official data. Strategies are proposed to handle these effects on a reliable scientific basis. This study can be considered a valuable reference for researchers and managers of tourism in developing countries, such as Vietnam.

“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.

This study aims to investigate specific professional competencies of teachers to implement education for sustainable development (ESD) in the contexts of Vietnam.

The authors carried out a Delphi study with eight ESD experts in Vietnam to collect their expertise viewpoints regarding teachers’ ESD professional competencies.

In total, 13 competencies related to three dimensions (content knowledge/cognitive, pedagogical and pedagogical content knowledge, motivation and volition) were highlighted by ESD experts.

The proposed teachers’ competencies were based on the ideas of a small group of experts, and the results need to be tested, refined and confirmed by further work. Besides, in this study, we have not defined the levels of achievement for each competency as well as developed assessment tools.

The specific professional competencies for teachers can be considered as a foundation for developing educational offers focusing on promoting the specific teachers’ professional competencies in basic ESD training.

Studies on educators’ professional competencies for ESD mostly were conducted in western countries. However, competencies do not exist independently; instead, they should be considered in specific contexts of teaching, school, culture and society. This research is among one of the first studies that contextualizes teachers’ competencies in a non-western context.

This study aims to examine how disruptive and incremental innovations mediate the link between corporate social responsibility (CSR) and financial performance from a dynamic capability perspective. Moreover, this study uncovers the moderating effect of business type on the CSR–innovation relationship.

The authors conduct a quantitative research design through surveying 536 managers of enterprises in Vietnam.

The findings show the crucial mediating effect of disruptive innovation on the CSR–financial performance link. The authors observe that the influence of CSR on incremental innovation is stronger for state-owned businesses.

These findings offer valuable insights for firms aiming to align their CSR strategies with financial objectives and enhance their dynamic capabilities to drive innovation in rapidly changing business environment.

The purpose of this paper is to contribute to this literature on developing countries by investigating the determinants of job satisfaction in Vietnam where the economics literature on this issue is virtually non-existent. The authors also contribute to the literature on income comparison by extending beyond the within-firm co-worker income comparison.

The authors estimate a generalized order logit model for job satisfaction as statistical tests suggest that the parallel-lines assumption, which is often invoked in previous studies using the standard logit model, does not hold.

For Vietnam, the authors find that absolute and relative incomes as well as human resource practices such as efficiency wage and training policy have an impact on workers’ satisfaction. Workers in the foreign direct investment (FDI) sectors behave a bit differently from their peers in the domestic sector.

Taking advantage of a unique matched employer–employee data set collected in 2008 by the North-South Institute (Canada) and the Vietnam Academy of Social Sciences, the authors are able to investigate the impact of a number of important job characteristics on job satisfaction such as absolute and reference incomes, wage policy, training plan for workers, union membership and job position, and, at the same time, to disentangle the possible differences in job satisfaction of workers in domestic vs FDI firms.

This study aims to examine the relationship between key audit matters (KAMs) and the restatement of financial statements, assessing their impact on the financial statement restatement process.

This study aims to examine the economic context of Vietnam by analyzing data from 170 listed enterprises on the Vietnam stock exchange from 2010–2021. Feasible generalized least squares and robustness regression are conducted to give results and conclusions.

The results show that the KAMs disclosure in the financial statements has not really significantly affected the quality of an audit, so the KAMs disclosure does not have too much impact on the restatement of financial statements. However, this study found that the number of disclosed KAMs would partly reflect the shortcoming that exists in companies' financial statements.

The authenticity of financial statements is crucial for companies to meet auditor requirements, particularly KAMs. Restatements can influence business decisions and provide more accurate financial information to stakeholders. Thus, studying the impact of KAMs on restatement is essential for improving the veracity and reliability of financial statements.

This study clarifies the important role of KAMs in financial statements to recommend investors to be more careful in considering KAMs disclosed by auditors in audit reports. In addition, this study helps to add an overview of KAMs in emerging markets like Vietnam, as well as helps stakeholders to improve the legal system on Accounting – Auditing in Vietnam.

This paper aims to examine how differently cognitive and affective country image affects brand loyalty of smartphone brands from two developed countries in Vietnam and how product image mediates these effects.

This research used the cross-sectional design. Data was collected via questionnaires and 517 responses were left after refining. The confirmatory factor analysis and structural equation modeling were applied to analyze the collected data.

The effects of the cognitive country image on brand loyalty are totally transmitted through product image. The effects of affective country image on brand loyalty are divided into direct and indirect effects transmitted through product image.

Affective country image and product image have complementary effects, whereas cognitive country image and product image have substituting effects on brand loyalty.

International companies from countries with unfavorable country images should concentrate more on improving their product images to improve brand loyalty in foreign markets.

The findings support previous studies, which have shown that cognitive and affective country images are distinctive dimensions of country image and affect consumer cognition and responses toward products/brands through different mechanisms.

This study aims to investigate what drives tourists to continue using ChatGPT for travel purposes. This study focuses on the impact of parasocial interaction on tourists’ intention to continue using ChatGPT. It also examines how satisfaction mediates this relationship and the role of technology anxiety as a moderating factor.

Using a sample of 606 tourists in popular Vietnamese tourist destinations, this study used the SPSS PROCESS macro (Model 4 and Model 14) to estimate the research model.

The study found that tourists’ satisfaction and parasocial interactions positively influenced their intention to continue using ChatGPT for travel purposes. The tourists’ satisfaction was found to play a partial role in mediating the relationship between parasocial interactions and their intention to continue using ChatGPT. Technology anxiety was found to be a negative moderator of the direct effect of satisfaction and the indirect impact of parasocial interaction on this intention.

This study stands out as a pioneering exploration into the novel intersection of parasocial interaction, satisfaction, and technology anxiety and their influence on tourists’ intention to persist with using ChatGPT for travel-related purposes.

COVID-19 hits every country’s health-care system and economy. There is a trend toward using automation technology in response to the COVID-19 crisis not only in developed countries but also in those with lower levels of technology development. However, current studies mainly focus on the world level, and only a few ones report deployments at the country level. The purpose of this paper is to investigate the use of automation solutions in Vietnam with locally available materials mainly in the first wave from January to July 2020.

The authors collected COVID-related automation solutions during the first wave of COVID-19 in Vietnam from January to July 2020 through a search process. The analysis and insights of a panel consisting of various disciplines (i.e. academia, health care, government, entrepreneur and media) aim at providing a clear picture of how and to what extent these solutions have been deployed.

The authors found seven groups of solutions from low to high research and development (R&D) levels deployed across the country with various funding sources. Low R&D solutions were widely spread owing to simplicity and affordability. High R&D solutions were mainly deployed in big cities. Most of the solutions were deployed during the first phases when international supply chains were limited with a significant contribution of the media. Higher R&D solutions have opportunities to be deployed in the reopening phase. However, challenges can be listed as limited interdisciplinary research teams, market demand, the local supporting industry, end-user validation and social-ethical issues.

To the authors’ best knowledge, this is the first study analyzing the use of automation technology in response to COVID-19 in Vietnam and also in a country in Southeast Asia. Lessons learned from these current deployments are useful for future emerging infectious diseases. The reality of Vietnam’s automation solutions in response to COVID-19 might be a reference for other developing countries with similar social-economic circumstances and contributes to the global picture of how different countries adopt technology to combat COVID-19.

The purpose of this paper is to present the method for efficient computation of risk measures using Fourier transform technique. Another objective is to demonstrate that this technique enables an efficient computation of risk measures beyond value-at-risk and expected shortfall. Finally, this paper highlights the importance of validating assumptions behind the risk model and describes its application in the affine model framework.

The method proposed is based on Fourier transform methods for computing risk measures. The authors obtain the loss distribution by fitting a cubic spline through the points where Fourier inversion of the characteristic function is applied. From the loss distribution, the authors calculate value-at-risk and expected shortfall. As for the calculation of the entropic value-at-risk, it involves the moment generating function which is closely related to the characteristic function. The expectile risk measure is calculated based on call and put option prices which are available in a semi-closed form by Fourier inversion of the characteristic function. We also consider mean loss, standard deviation and semivariance which are calculated in a similar manner.

The study offers practical insights into the efficient computation of risk measures as well as validation of the risk models. It also provides a detailed description of algorithms to compute each of the risk measures considered. While the main focus of the paper is on portfolio-level risk metrics, all algorithms are also applicable to single instruments.

The algorithms presented in this paper require little computational effort which makes them very suitable for real-world applications. In addition, the mathematical setup adopted in this paper provides a natural framework for risk model validation which makes the approach presented in this paper particularly appealing in practice.

This is the first study to consider the computation of entropic value-at-risk, semivariance as well as expectile risk measure using Fourier transform method.