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Given the importance of identifying the antecedents of innovation for firms to follow and achieve it, the purpose of this paper is to investigate the effect of inclusive leadership (IL) and knowledge sharing (KS) on ambidextrous innovation capabilities, namely exploratory and exploitative innovation. It also explores the possible moderating role of environmental uncertainty in the relationship between KS and ambidextrous innovation.

This study used structural equation modeling (SEM) to examine the relationship among latent factors in the proposed research model based on the data gathered from 118 manufacturing and service firms.

The empirical findings support the significant and positive impact of IL on exploratory and exploitative innovation through the mediating role of KS. It highlights the moderating mechanism of environmental uncertainty in fostering the relationship between KS and ambidextrous innovation.

To gain a deeper understanding of the benefits and important role of knowledge resources, future research should investigate the potential role of IL practices in creating a KS culture for promoting specific forms of innovation such as open innovation or frugal innovation.

The paper provides a valuable understanding and novel approach for managers and directors of firms in developing and emerging countries to improve ambidextrous innovation by practicing IL for fostering KS in organizations.

The paper is unique in its attempts to bridge the research gaps in the literature and provide deeper insights on the mediating role of KS and the moderating effect of environmental uncertainty in pursuing both exploratory and exploitative innovation.

This paper examines credit composition and income inequality reduction in Vietnam. In particular, the authors focus on the distinction between policy and commercial credits and investigate whether these two types of credit adversely affect on income inequality. The authors also examine whether the educational level and institutional quality condition the impact of policy credit on income inequality.

The authors use the primary data set, which contains a panel of 60 provinces collected from the General Statistics Office of Vietnam from 2002 to 2016. The authors employ the generalized method of moments to solve the endogenous problem.

The authors show that while commercial credit increases income inequality, policy credit reduces income inequality in Vietnam. In addition, we provide evidence that the institutional quality and educational level condition the impact of policy credit on income inequality. Based on the findings, the paper implies that it was not the size of the private credit but its composition that mattered in reducing income inequality due to the asymmetric effects of different types of credit.

The government should focus on credit for the poor by helping them to exit poverty through investing in human capital, health and micro enterprises activities.

This is the first study that examines the links between the two components of credit and income inequality as well as the constraints of the links. The authors argue that analyzing the separate effects of commercial and policy credits is more important for explaining the role of credit in income inequality than the size of total credit.

This study aimed to utilize Epistemic Network Analysis (ENA) for a thorough evaluation of policy documents concerning the digital transformation in Vietnam's higher education sector.

Adopting a quantitative ethnography approach, this research employed ENA to analyse a curated collection of 21 documents that specifically addressed higher education (HE) and digital transformation within Vietnam. The study also incorporated qualitative content analysis, utilizing the constant comparison method as outlined by Onwuegbuzie et al. (2009), for data coding. ENA facilitated the examination of connections among various policy aspects.

The study revealed a consistent overarching theme in Vietnam's digital transformation policies during and post-pandemic, focusing on key areas such as ADMINISTRATION, VISION, QUALITY, and INFRASTRUCTURE. However, a temporal shift in emphasis was observed: during the pandemic, policies were more focused on ADMINISTRATION and INFRASTRUCTURE, while post-pandemic, there was an increased emphasis on COLLAB, VISION, and TEACH_LEARN.

This research represents one of the initial efforts to showcase the utility and significance of ENA in analysing policy documents. It underscores ENA's potential in elucidating the complex interplay of policy elements in the context of digital transformation in higher education, particularly within a developing country setting.

This paper aims to develop a multi-hazard risk assessment method based on probability theory and a set of economic, social and environmental indicators, which considers the increase in hazards when they occur concurrently or consecutively.

Disaster risk assessment generally considers the impact and vulnerability of a single hazard to the affected location/object without considering the combination of multiple hazards occurring concurrently or consecutively. However, disasters are often closely related, occurring in combination or at the same time. Probability theory was used to assess multi-hazard, and a matrix method was used to assess the interaction of hazard vulnerabilities.

The results of the case study for the Mid-Central Coastal Region show that the proportions of districts at a very high class of multi-hazard, multi-vulnerabilities and multi-hazard risk are 81%, 89% and 82%, respectively. Multi-hazard risk level tends to decrease from North to South and from East to West. A total of 100% of coastal districts are at high to very high multi-hazard risk classes. The research results could assist in the development of disaster risk reduction programs towards sustainable development and support the management to reduce risks caused by multi-hazard.

The multi-risk assessment method developed in this study is based on published literature, allowing to compare quantitatively multiple risk caused by multi-hazard occurring concurrently or consecutively, in which, a relative increase in hazard and vulnerability is considered. The method includes the assessment of three components of disaster risk including multi-hazard, exposure and multi-vulnerability. Probability and Copula theories were used to assess multi-hazard, and a matrix method was used to assess the interaction intensity of multi-vulnerabilities in the system.

This paper aims to investigate the impact of the COVID-19 pandemic on university students' employability skills and give insights into preparation for future crises that may happen.

Employing an interpretative phenomenological approach with the frame of social cognitive theory, the current study examined the changes in environmental, behavioral and personal elements of human functioning for employability skills being affected by the conditions during the pandemic.

Findings based on ten in-depth semi-structured interviews with students at universities in Vietnam highlighted that the global pandemic performed as both challenge and an opportunity for employability skills development, yet the extent to which the students can benefit from the new studying conditions attributed to each individual's initiatives in taking advantages of resources and acting against difficulties.

Whether the pandemic became a hindrance or a motivation for students' employability skills to develop and whether students effectively utilized an agency to overcome challenges and improved their skills after the pandemic have not yet been investigated. This study added to the body of literature regarding self-regulated learners by demonstrating agency in the learning process as well as how to manage careers and improve employability skills by making use of resources in disconnected settings.

Measuring tax service quality is important as it may contribute to sustainable tax management. This study aims to develop and validate a scale that measures tax service quality for enterprises.

This study uses a mixed method consisting of three focus groups with 25 participants in charge of the management of tax service for item generation, a survey of 121 enterprises for scale purification and a survey of 362 enterprises in Vietnam for main study. The scale development is tested through three important steps including exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM).

The findings reveal that the scale of tax service quality for enterprises is represented by 13 items comprising two dimensions: responsiveness and professionalism.

This scale can be used by tax management authorities as a convenient tool to understand and measure tax service quality.

Empirical studies on the measurement of tax service quality are scarce. Most studies have focused on tax service quality for individual taxpayers. There is an absence of research on a process for the development and validation of a specific, orthodox scale of tax service quality for enterprises.

This paper aims to investigate the extent of personal privacy concerns expressed by university students in Vietnam while using TikTok, the influence of peer interactions and social norms on privacy attitudes and behaviors and the strategies used by university students in Vietnam to mitigate privacy risks on TikTok.

A qualitative approach using semi-structured interviews was used to gather data on the following: the degree to which Vietnamese university students express concerns about their personal privacy while using TikTok; how peer interactions and social norms influence privacy attitudes and behaviors; and the strategies these students use to mitigate privacy risks on the platform.

Findings indicate that although university students exhibit a relatively low level of concern regarding their personal privacy on TikTok, peer influences and societal norms significantly shape their attitudes and behaviors on the platform. Moreover, students use several strategies to mitigate privacy risks, such as selective content sharing and refraining from engaging with unknown links.

These insights provide valuable implications for the development of targeted interventions and educational initiatives aimed at fostering a more privacy-conscious TikTok user community among university students in Vietnam.

This research fills a critical gap in the existing literature by focusing on the influence of social norms and peer influences on privacy attitudes and behaviors on social media platforms. While prior studies have explored various factors impacting privacy concerns on social media, the role of social dynamics has been understudied. Moreover, the research specifically addresses the lack of investigation into privacy concerns on TikTok, a platform rapidly gaining popularity among younger demographics.

Determining alarm levels of river floods is considered an effective non-structural measure to prevent and mitigate the damages of flood and inundation. This study aims to propose a holistic approach, a comprehensive review of the factors affecting flooding and flood risk, based on which the water level (WL) is proposed for the flood alarm levels. The corresponding proposed WL to the necessary flood alarm levels is based on observed data, as well as simulated data from statistical methods and hydrological and hydraulic models.

In this paper, the proposed criteria to delineate WLs corresponding to flood alarm levels include flood magnitude; flood derivation and flood duration; flood risks and damage; correlation with neighboring stations; flood characteristics and local characteristics; and other criteria (flood prevention strategy and flood experience).

The paper proposed a synthesis approach to determine flood warning levels in Vietnam. The retrieved levels are the basics to revise the Decision 632/2010 of the Vietnam Government on determining water alarm levels for flood prevention. The study proposes a new flood alarm system including revised flood levels at 115 existing stations and new flood levels at 30 additional stations. The proposed flood warning level can help manage the flooding problem in major river systems that supports flood protection and prevention services in Vietnam.

The paper proposed a novel synthesis approach to flood prevention in Vietnam.

This paper aims to examine whether foreign technology acquisition is complementary to internal technology development in the context of a developing country.

The selection model developed by Heckman (1979) was applied with the balanced panel data of manufacturing enterprises from the Annual Enterprise and Technology Surveys from 2012 to 2016 conducted by the Vietnamese General Statistics Organization.

The results indicate that foreign technology acquisition and internal technology development are complementary innovation options. Particularly, the number of patents granted for manufacturing enterprises positively affects the probability that enterprises acquire foreign technologies. This effect is stronger in cases of high-tech industries than in cases of low-tech industries.

Regarding the relationship between internal technology development and foreign technology acquisition, the findings suggest that adoption of foreign technology acquisition and priority in budget allocation for foreign technology acquisition are different in nature and that budget allocation is a more complex issue and may depend on other factors.

For developing countries, governments should adopt policies supporting domestic enterprises in acquiring technologies from advanced countries that could complement the locally developed technologies. These supports should focus on the high-tech or high-innovation rate industries.

In the context of a developing economy, the complementary effect of internal technology development and foreign technology acquisition is stronger in cases of the high-tech industries than in cases of the low-tech industries.

The new teleworking conditions imposed by extreme events such as the COVID-19 pandemic blur the border between home and official working space, amplifying the conflicting demands of family and work life experienced by employees across national cultures. Drawing on conservation of resources (COR) theory, this study explores cross-national variances in the underlying mechanism of how family–work conflict (FWC) affects employees’ operational and marketing productivity in the global epidemic-induced teleworking context.

This study conducts a large-scale and cross-national survey of 710 remote employees who worked from home partially or fully during the COVID-19 outbreak across three countries: the USA, the UK and Vietnam.

The results show that FWC drives affective commitment, leading to greater employees’ operational and marketing productivity when teleworking. We also find distinct moderating effects of organizational factors (i.e. task control) and employees’ psychological factors (i.e. emotional exhaustion) on the FWC–operational productivity link across the three countries. Moreover, centralization positively moderates the effect of operational productivity on marketing productivity in the teleworking context in Vietnam, while it is not the case in the USA and the UK.

This study fills a gap in the literature by revealing cross-national differences in the underlying mechanism of the FWC effects on employees’ operational and marketing productivity in the pandemic-induced teleworking conditions. It extends extant studies in the work–family literature by introducing affective commitment as an important mediator in translating the negative consequences of FWC to operational and marketing productivity gain in crisis-driven teleworking across national cultures. We also provide insights into the distinct moderating roles of task control and emotional exhaustion in determining the FWC effect on operational productivity as well as that of centralization in driving marketing productivity. The findings have substantive implications for teleworking design and management to improve employee productivity across different national settings.