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By anchoring on the ability-motivation-opportunity (AMO) framework, this research aims to examine the effect of tourists' green ability, motivation and opportunity to access green information on digital media platforms (green AMO) on their intention to stay at green hotels. The study also tests the moderating role of environmental concern and the mediating role of green attitude in this relationship.

An online survey was conducted on large Facebook groups and by an international tour operator in March 2022. Through convenience sampling, 600 responses were collected from local and international tourists. Partial least squares structural equation modeling was performed to validate the research model.

The results reveal that tourists' intention to stay at green hotels is positively affected by their green AMO through indirect and direct channels. Specifically, green AMO indirectly effects tourists' intention to stay at green hotels by raising their green attitude. The results also indicate that the direct effect is moderated by environmental concern.

The findings demonstrate the importance of facilitating tourists' access to environmental information on social media platforms, which enhances green attitude and intention to stay at green hotels. This study also proposes practical solutions that managers of green hotels can employ to target green-oriented customers and conduct environmental campaigns on digital platforms.

The research is the first to investigate the effects of tourists' green AMO on their intention to stay at green hotels. It is also the first to explore the roles of environmental concern and green attitude in this relationship.

A general strategy is developed for adaptive finite element (FE) analysis of free vibration of elastic membranes based on the element energy projection (EEP) technique.

By linearizing the free vibration problem of elastic membranes into a series of linear equivalent problems, reliable a posteriori point-wise error estimator is constructed via EEP super-convergent technique. Hierarchical local mesh refinement is incorporated to better deal with tough problems.

Several classical examples were analyzed, confirming the effectiveness of the EEP-based error estimation and overall adaptive procedure equipped with a local mesh refinement scheme. The computational results show that the adaptively-generated meshes reasonably catch the difficulties inherent in the problems and the procedure yields both eigenvalues with required accuracy and mode functions satisfying user-preset error tolerance in maximum norm.

By reasonable linearization, the linear-problem-based EEP technique is successfully transferred to two-dimensional eigenproblems with local mesh refinement incorporated to effectively and flexibly deal with singularity problems. The corresponding adaptive strategy can produce both eigenvalues with required accuracy and mode functions satisfying user-preset error tolerance in maximum norm and thus can be expected to apply to other types of eigenproblems.

This study aims to investigate the relationship between corporate tax avoidance and stock price crash risk and the moderating effects of corporate governance.

This study investigates the relationship between corporate tax avoidance and stock price crash risk using the sample consisting of listed firms in Vietnam for the period of 2011–2020 using panel regressions.

The authors find that there is a positive relationship between tax avoidance and stock price crash risk. Foreign ownership weakens the impacts of tax avoidance on stock price crash risk, while managerial ownership strengthens the impacts. Female Chief Executive Officers (CEOs) and female chairpersons weaken this relationship. Board gender diversity and state ownership have insignificant moderating impacts.

These findings could help the stock market build better internal monitoring mechanisms to reduce the impacts of tax avoidance on future stock price crash risk. Investors can recognize the characteristics of corporate governance, especially foreign ownership, managerial ownership, female CEOs and female chairpersons when making investment decisions. The policy makers should consider policies to attract foreign investment and support women entrepreneurship.

This paper contributes to the literature on the impacts of tax avoidance on stock price crash risk in emerging countries. This paper is the first to investigate the influence of corporate governance mechanisms including state ownership, foreign ownership, female CEOs and chairpersons and board gender diversity on this relationship.

Climate change increases systematic risk for firms, especially those in the agricultural industry. Therefore, the need to examine the consequences of climate-related risks on agribusiness companies' financial performance across the globe and emerging markets has risen. In this context, the paper aims to investigate the effects of climate change risks on the financial performance of agriculture listed firms in Vietnam.

The study sample includes 77 Vietnamese listed firms in the agricultural industry in the period of 2015–2019. The authors chose temperature, wind, rainfall and humidity proxies to measure climate change. The OLS regression, random regression and sub-sample analysis have been used to examine the impacts of climate risks on firms' financial performance.

Empirical results show that rain and temperature have positive impacts on financial performance of Vietnamese agriculture listed firms, while wind and humidity have insignificant impacts on financial performance.

The research helps researchers, businesses, practitioners and policymakers interested in the agricultural industry, especially those in developing and emerging countries, to develop a deep understanding of the impact of climate change risks on firm performance and therefrom prepare necessary measures to reduce the negative impacts.

This study adds to the literature stream on the impacts of climate change on financial performance. It is the first study to investigate this impact in Vietnam, a country which depends mainly on agriculture.

This research aims to determine the impact of the CEO's risk-taking tendencies and the transformational leadership style on the use of the management accounting system information, as well as the mediating impact of product creativeness and organizational citizenship behavior in this context. It also provides empirical evidence from Vietnamese enterprises.

The current research was conducted using quantitative methods. It was conducted during the ongoing Covid-19 pandemic in Vietnam. The study population is represented by all of the Vietnamese enterprises listed on stock exchanges. Therefore, an online email questionnaire was used for data collection. Specifically, 670 emails were sent to CEOs and 146 complete responses were collected (21.79% rate).

By using the partial least squares structural equation modeling (PLS-SEM), the study results show that the CEO's risk-taking tendencies and transformational leadership style have a significant positive effect on the use of the management accounting system information. Additionally, product creativeness mediates the relationship between the CEO's risk-taking tendency, and the use of the management accounting system information. Also, organizational citizenship behavior mediates the relationship between transformational leadership style and the use of the management accounting system information.

Despite attempts to overcome by GDP contribution ratio, convenience sampling tends to cause common method bias. Furthermore, small sample sizes can lead to heterogeneity and unstable estimates of the parameter. Causality issues may also arise because the model has no control variables. Therefore, later studies should take the necessary additional steps when sampling to stay consistent with the study population, possibly conducting surveys in several batches to determine the correlation between changes in variables, and allowing the ability to discover and add any necessary control variables.

This research acts as a bridge between management and management accounting, confirming the importance of this combination when efficiently using the management accounting system.

The association between export destinations and economic growth remains under-researched, despite the large literature on export-led growth. This paper aims to fill in the gap of the literature. It analyzes the effects of exporting on economic growth in the Association of Southeast Asian Nations (ASEAN) and further explores which export destinations are most desirable in terms of promoting economic growth.

With panel data for ASEAN countries from 1986 to 2013, this paper performs both fixed effects estimation and Arellano–Bond GMM estimation.

Robust findings reveal that to promote economic growth, it is most beneficial for ASEAN countries to export to the Western industrial countries, followed by exporting to Japan, Korea and China. Exporting to the rest of the world does not appear to generate significantly positive effect on economic growth.

The findings have important policy implications for ASEANs to further develop their trade policy.

This chapter provides information on the development of Vietnamese education under the influence of global forces based on the analysis of relevant education research and policies using Wolhuter’s frameworks. In the process of coming up with ways to develop education in the face of different influences of globalization, besides having reactions with patterns commonly found in countries around the world, Vietnam also has responses that reflect its own political, sociocultural and economic characteristics. The state still plays a controlling role in education at all levels and many culture-related features that have existed throughout the country’s history have hardly changed, namely aspects related to teachers, learners and teaching and learning methods. To sustain its education in the globalized era, Vietnam must make more efforts in various aspects such as the link between education and employment, the logic of education objectives, the feasibility and appropriateness of curricula, quality of education, especially of higher education and equality in education for underprivileged groups.

This study aims to investigate the determinants of public trust in e-government services (Te-GS) and participation in social media.

A quantitative cross-sectional field survey was used to collect primary data at the local government level in 11 cities, towns and districts in Tien Giang Province, Vietnam. The final data set of 529 respondents was analysed using SmartPLS4 to evaluate the measurement and structural models.

Perceived responsiveness, transparency and security have strong positive associations with Te-GS, whereas perceived accountability does not. Furthermore, perceived ease of use and perceived usefulness are positively associated with social media participation.

Although previous studies have examined citizen behaviour in the use of e-government services, the social media context has rarely been considered due to its novelty. This study adds to the knowledge of the antecedents of participation in e-government services in developing countries such as Vietnam. Furthermore, it provides a comprehensive framework for understanding participation intention that considers four elements of good governance theory and two elements of the technology acceptance model (TAM), thereby extending previous research on the effects of these variables on the adoption of e-government services.

The purpose of this paper is to expand and analyze deeply customer emotions, concretize the levels of positive or negative emotions with the aim of using machine learning methods, and build a model to identify customer emotions.

The study proposed a customer emotion detection model and data mining method based on the collected dataset, including 80,593 online reviews on agoda.com and booking.com from 2009 to 2022.

By discerning specific emotions expressed in customers' comments, emotion detection, which refers to the process of identifying users' emotional states, assumes a crucial role in evaluating the brand value of a product. The research capitalizes on the vast and diverse data sources available on hotel booking websites, which, despite their richness, remain largely unexplored and unanalyzed. The outcomes of the model, pertaining to the detection and classification of customer emotions based on ratings and reviews into four distinct emotional states, offer a means to address the challenge of determining customer satisfaction regarding their actual service experiences. These findings hold substantial value for businesses operating in this domain, as the findings facilitate the evaluation and formulation of improvement strategies within their business models. The experimental study reveals that the proposed model attains an exact match ratio, precision, and recall rates of up to 81%, 90% and 90%, respectively.

The study has yet to mine real-time data. Prediction results may be influenced because the amount of data collected from the web is insufficient and preprocessing is not completely suppressed. Furthermore, the model in the study was not tested using all algorithms and multi-label classifiers. Future research should build databases to mine data in real-time and collect more data and enhance the current model.

The study's results suggest that the emotion detection models can be applied to the real world to quickly analyze customer feedback. The proposed models enable the identification of customers' emotions, the discovery of customer demand, the enhancement of service, and the general customer experience. The established models can be used by many service sectors to learn more about customer satisfaction with the offered goods and services from customer reviews.

The research paper helps businesses in the hospitality area analyze customer emotions in each specific aspect to ensure customer satisfaction. In addition, managers can come up with appropriate strategies to bring better products and services to society and people. Subsequently, fostering the growth of the hotel tourism sector within the nation, thereby facilitating sustainable economic development on a national scale.

This study developed a customer emotions detection model for detecting and classifying customer ratings and reviews as 4 specific emotions: happy, angry, depressed and hopeful based on online booking hotel websites agoda.com and booking.com that contains 80,593 reviews in Vietnamese. The research results help businesses check and evaluate the quality of their services, thereby offering appropriate improvement strategies to increase customers' satisfaction and demand more effectively.

This study aims to address the reliability and construct validity of the Individual Work Performance Questionnaire (IWPQ) in a Vietnamese context. Using the IWPQ as a measurement tool, this research also examined whether demographic features (such as gender, education level, work experience and position in a company) influenced employees’ work performance.

The Vietnamese IWPQ was validated via a two-step process of factor analysis, including an exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The data collected were randomly divided into two subsamples to independently serve the EFA (n = 341) and CFA (n = 342). ANOVAs and t-tests were also used to examine the differences in individual work performance (IWP) among different demographic categories.

The results of the current study confirmed the applicability of the three-dimensional IWPQ in a Vietnamese context. In addition, they also indicated several demographic features that impacted employees’ patterns of responses to IWPQ dimensions.

This study focused on the construct validity of the IWPQ, without taking the content, face or criterion validity into consideration. Thus, future research should be conducted to yield a more comprehensive validation of the instrument, to measure the relationship between human resource development (HRD) practices and employee performance and to examine the relationship between strategic HRD and IWP and firm outcomes. In addition, the validated Vietnamese version of the IWPQ may inspire comparative studies on individual performance within and between units in an organization and among organizations and industries.

HRD practitioners can now use the validated IWPQ in the Vietnamese language to assess fluctuations in and analyze current staff performance, thereby facilitating human resource management and development. This study also offers recommendations for business leaders and HRD practitioners striving to implement strategic HRD aimed at reducing disparities in gender and between educational qualifications and job assignments at workplace, with the overarching goals of enhancing staff performance. These recommendations prove instrumental in improving staff performance, strengthening organizational efficiency and ultimately tackling the issue of low productivity in Vietnam and neighboring countries.

This study findings underscore the significance of embracing strategic HRD while taking into account individual, organizational and contextual factors that influence IWP. This approach serves to bridge current gaps related to IWP, including Vietnam’s comparatively lower productivity compared to neighboring nations, educational qualifications and role allocations within the workplace, as well as the prevailing work standards and strategic objectives.

To the best of the authors’ knowledge, this rigorously validated Vietnamese version of the IWPQ is the first of its kind in Vietnam, making a significant contribution to inclusivity initiatives and offering substantial evidence to affirm the IWPQ’s relevance across diverse contexts.