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This paper aims to identify the disproportionate impacts of the COVID-19 pandemic on labor markets.

The authors conduct a large-scale survey on 16,000 firms from 82 industries in Ho Chi Minh City, Vietnam, and analyze the data set by using different machine-learning methods.

First, job loss and reduction in state-owned enterprises have been significantly larger than in other types of organizations. Second, employees of foreign direct investment enterprises suffer a significantly lower labor income than those of other groups. Third, the adverse effects of the COVID-19 pandemic on the labor market are heterogeneous across industries and geographies. Finally, firms with high revenue in 2019 are more likely to adopt preventive measures, including the reduction of labor forces. The authors also find a significant correlation between firms' revenue and labor reduction as traditional econometrics and machine-learning techniques suggest.

This study has two main policy implications. First, although government support through taxes has been provided, the authors highlight evidence that there may be some additional benefit from targeting firms that have characteristics associated with layoffs or other negative labor responses. Second, the authors provide information that shows which firm characteristics are associated with particular labor market responses such as layoffs, which may help target stimulus packages. Although the COVID-19 pandemic affects most industries and occupations, heterogeneous firm responses suggest that there could be several varieties of targeted policies-targeting firms that are likely to reduce labor forces or firms likely to face reduced revenue. In this paper, the authors outline several industries and firm characteristics which appear to more directly be reducing employee counts or having negative labor responses which may lead to more cost–effect stimulus.

The purpose of this paper is to trace the way in which a popular ritual became one of Vietnam’s most important festivals, elevated as a celebration of national heroism and charts its gradual transformation in modern society.

This research focuses on the combination of a fertility rite and narratives of St Gióng based on nationalism or heroism created a special festival reflecting many traditional cultural characteristics of Vietnam and the Việt people and the transformation of St Gióng from a mythological to a national symbol of heroism in anti-invader history was recorded in texts.

The paper casts light on the mythologization and historicization of St Gióng in Vietnam’s particular historical context by decoding the Gióng symbol as a core element of the folktales and myths about St Gióng to understand the formation and development of St Gióng in the cultural history of Vietnam.

The paper is not exploring the Gióng symbol within a larger cultural context of nationalism and ethnosymbolic approach in a comparison of national symbolism and heroism.

The paper includes implications for advised scholars to conduct further exploration of the symbol and myth of not only St Gióng in Vietnam but also Kubera in India and Vaisravana in China to connect Kubera, Vaisravana and St Gióng under the connection of literal myth and heroic symbol.

The paper shows how processes of historicizing myth and mythologizing history are important features of Vietnamese socio-historical research.

The paper shows how a fertility rite became a historical festival and the figure of St Gióng became a symbol of patriotic heroism.

The current review aims to examine the growth trajectory, most influential documents, intellectual and conceptual structure of the literature regarding gender issues in family business research.

The bibliometric analysis was performed using 224 documents from 1991 to 2020 extracted from the Web of Science database.

The review finds that this field's knowledge grew exponentially during the last three decades, mainly after 2003 and the last several years. Based on the co-citation analysis, three major research lines are identified: “Women's challenges and opportunities in the family business”, “Gender diversity in the family business corporate board”, and “Gender and family SMEs management.” The temporal co-word analysis reveals that “Gender diversity in the family business corporate board” is the latest research line.

By reviewing prominent cited references and documents that cited them, the authors provide the landscapes and research gaps of three major research lines for further development.

This paper aims to assess the economic impacts of the European Union’s Carbon Border Adjustment Mechanism (CBAM) on Vietnam.

We constructed a general equilibrium model to assess the economic impacts of the CBAM on the macroeconomic indicators of Vietnam. We also constructed a generic partial equilibrium model to provide a zoomed-in view of the impact on each group of CBAM-targeted commodities, which is not possible in the general equilibrium model. Both the general equilibrium and the partial equilibrium models were calibrated with publicly available data and a high number of value sets of hyperparameters to estimate the variations of the estimated impacts.

The results suggest that the current form of the EU’s CBAM is unlikely to produce substantial effects on the overall economy of Vietnam, mainly because the commodities affected by it represent a small portion of Vietnam’s exports. However, at the sectoral level, the CBAM can reduce production outputs and export values of steel, aluminium, and cement.

The CBAM by itself may not lead to significant decreases in greenhouse gas emissions, but it could provide a rationale for implementing carbon pricing strategies, which might result in more significant economic effects and help in reducing greenhouse gas emissions. This highlights the necessity of supplementary policies to tackle global climate change.

We constructed economic models to evaluate the impacts of the European Union’s Carbon Border Adjustment Mechanism on Vietnam, both at the macroeconomic level and zooming in on directly impacted groups of commodities.

The primary purpose of this study is to explore the effect of technical changes on provincial-level income inequality in Vietnam. The authors also investigate whether the quality of institutions and human capital level moderate this relationship.

This research applies the fixed-effect and random-effect models on a balanced panel data set of 63 Vietnamese provinces/cities from 2010 to 2020.

The study’s empirical results show that technical improvement has a nonlinear influence on income disparity in Vietnamese localities. When the local level of technology is limited, technological change can mitigate income disparity. However, as local technological levels increase, inequality tends to rise. Moreover, the study also reveals that the quality of a province’s institutions and the level of human resources are factors that moderate the correlation between technological change and income inequality. For provinces with better institutional quality and/or better human resources, inequality tends to decline under the impact of technological change.

The results of this study suggest that while encouraging technology advancement, localities should also ensure sustainable development, reduce income inequality and focus on improving institutional quality and human resources development.

There are increasing concerns about the impact of technical change on inequality in income distribution; however, empirical evidence on this relationship in developing countries remains scarce. This study is among the few attempts to examine this issue at the provincial level of a developing country considering the moderation effect of institutional quality and human capital level.

This study investigates the interactions between the US daily public debt and currency power under impacts of the Covid-19 crisis.

The authors employ the multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) modeling to explore the interactions between daily changes in the US Debt to the Penny and the US Dollar Index. The data sets are from April 01, 1993, to May 27, 2022, in which noticeable points include the Covid-19 outbreak (January 01, 2020) and the US vaccination campaign commencement (December 14, 2020).

The authors find that the daily change in public debt positively affects the USD index return, and the past performance of currency power significantly mitigates the Debt to the Penny. Due to the Covid-19 outbreak, the impact of public debt on currency power becomes negative. This effect remains unchanged after the pandemic. These findings indicate that policy-makers could feasibly obtain both the budget stability and currency power objectives in pursuit of either public debt sustainability or power of currency. However, such policies should be considered that public debt could be a negative influencer during crisis periods.

The authors propose a pioneering approach to explore the relationship between leading and lagging indicators of an economy as characterized by their daily data sets. In accordance, empirical findings of this study inspire future research in relation to public debt and its connections with several economic indicators.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0581

This study aims to investigate the impact of AI chatbots on customer trust in AI chatbots for hotel services.

The probability sampling method was employed to develop a research sample. The research uses correlation analysis and structural equation modeling to analyze the data of 413 valid observations collected in the structured questionnaire survey in Vietnam.

The paper reports that empathy response, anonymity and customization significantly impact interaction. Empathy response is found to be the strongest influence on interaction. Meanwhile, empathy response and anonymity were revealed to indirectly affect customer trust. This paper also contributes several implications for hotel providers in emerging economies.

To the best of the authors’ knowledge, this is the first study to shed light on the role of AI chatbots in explaining customers’ behavior. The results provide an enhanced understanding of how the AI chatbot system influences customers’ decision-making. It has been used to plan the chatbot application and highlight which implementation issues need the most attention in the hospitality industry.

The purpose of this paper is to analyze the Vietnamese laws and practices concerning the confiscation of proceeds of crime, especially in view of Vietnam’s obligations to meet the international standards on money laundering and terrorist financing, set by the Financial Action Task Force and relevant international conventions that Vietnam ratified. To limit the scope of this paper, the analysis focuses on the confiscation of proceeds of domestic crimes that do not require international legal assistance. This paper concludes with recommendations for improving the legal framework on criminal asset recovery in Vietnam.

This is a doctrinal study that considers the applicable legal framework. This study is supported by brief case studies of major cases involving the confiscation of proceeds of crime.

Vietnam has a functioning asset confiscation regime but gaps in the law, lack of financial investigation expertise and lack of focused investigative attention on asset preservation and confiscation are hampering its effectiveness. The key gaps can easily be closed with appropriate amendments to the law. These reforms should be combined with a dedicated skills development program to produce sufficient number of financial investigation experts and criminal asset management experts to support the regime. The training should extend to judicial officers to ensure an appropriate understanding of the asset confiscation law. Reforms such as these should follow on a comprehensive review of Vietnam’s law and practices relating to the confiscation and forfeiture of criminal assets. This review should extend to assets linked to the financing of terrorism and proliferation to ensure that Vietnam has a comprehensive regime to deal with criminal assets.

This paper draws on publicly available information regarding the confiscation of proceeds of crime in Vietnam. Little data is available on asset confiscation and that prevents an in-depth assessment of the regime.

This paper highlights gaps in the current asset confiscation regime and proposes reforms and approaches that will ensure a more effective asset confiscation regime for Vietnam.

Although there are many efforts within organisations to improve the financial performance of business processes, the results of studies on the impact of internal factors on the financial performance of business processes in an organisation are inconsistent, even contradictory. Therefore, this paper aims to examine the extent and trends of the impact of factors inside companies on the financial performance of business processes and discover lessons learned to improve the financial performance of business processes.

This analysis was done through a quantitative study of listed companies in Vietnam. Pooled OLS regression, REM, FEM and robust regression were performed on 566 companies.

The results provide four main findings. First, firm size and operational efficiency strongly correlate with financial performance. Second, financial leverage has a negative, significant connection with financial performance. Third, net working capital has a positive and meaningful relationship with EPS and a negative association with ROE. Fourth, liquidity does not have any significant association with financial performance.

This study only restricts the internal factors affecting the financial performance of business processes without mentioning the external factors. Furthermore, this study is limited to one emerging country and has not been compared with companies in different countries.

The findings of this study may help inform users inside and outside the organisation to understand the factors that affect the financial performance of business processes. As a result, information users will focus more on aspects that can improve their financial performance to make informed decisions.

This study has many differences compared to previous studies. First, it focuses on the internal factors affecting the financial performance of business processes in non-financial listed companies in Vietnam, which has an emerging economy. First, it focuses on the internal factors affecting the financial performance of business processes in non-financial listed companies in Vietnam, which has an emerging economy. Second, this study analyses data in companies' financial statements for the ten years from 2012 to 2021, when the Vietnamese economy, in particular, and the world economy experienced many fluctuations due to the impact of the post-financial crisis 2007–2008 and the COVID-19 pandemic. Third, this study provides empirical evidence to support RBV, RDT theories and the trade-off theory of capital structure.