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The purpose of this paper is to investigate factors affecting Vietnamese people’s sustainable tourism intention (IN) with extended the theory of planned behavior (TPB).

Preliminary quantitative research was carried out before large-scale formal quantitative research with a sample size of 628 Vietnamese people. Using the partial least squares structural equation modeling method with the SmartPLS tool, measurement and structural models 3.0 were evaluated before testing the research hypotheses about the influence of factors on the IN of sustainable tourism.

This study uses the extended TPB model with original constructs and two additional constructs, travel motivation (TM) and moral reflectiveness (MR), to find out the factors affecting the sustainable tourism IN of Vietnamese people. All hypotheses are accepted, except for the hypothesis about the relationship between TM and attitude toward sustainable tourism. MR has been shown to have a more positive and stronger (insignificant) effect than other factors of the proposed research model on sustainable tourism IN. Thereby, this study contributes both theoretically and practically to policymakers, researchers and tourism enterprises in promoting sustainable tourism IN.

The main limitation of this paper is the deliberate sampling method and targeting the demographic proportion corresponding to the population has lost the randomness of the survey sample.

The findings indicate that state management agencies and tourism enterprises in Vietnam need to pay attention to communication to raise awareness of environmentally oriented tourism and promote the ability to participate in sustainable tourism at a reasonable price as well as the opportunity for easy access and, at the same time, take measures to influence TM and have communication strategies that address the ethical value of participating in sustainable tourism.

To the best of the authors’ knowledge, this paper is the first empirical study to contribute to the existing literature on tourism by integrating TPB constructs with TM and MR to predict sustainable tourism IN.

This study examines the influence of stock liquidity on stock price crash risk and the moderating role of institutional blockholders in Vietnam’s stock market.

Crash risk is measured by the negative coefficient of skewness of firm-specific weekly returns (NCSKEW) and the down-to-up volatility of firm-specific weekly stock returns (DUVOL). Liquidity is measured by adjusted Amihud illiquidity. The two-stage least squares method is used to address endogeneity issues.

Using firm-level data from Vietnam, we find that crash risk increases with stock liquidity. The relationship is stronger in firms owned by institutional blockholders. Moreover, intensive selling by institutional blockholders in the future will positively moderate the relationship between liquidity and crash risk.

Since stock liquidity could exacerbate crash risk through institutional blockholder trading, firm managers should avoid bad news accumulation and practice timely information disclosures. Investors should be mindful of the risk associated with liquidity and blockholder trading.

We contribute to the literature by showing that the activities of blockholders could partly explain the relationship between liquidity and crash risk. High liquidity encourages blockholders to exit upon receiving private bad news.

The purpose of this paper is to add to an emerging literature on educational leadership and management in Vietnam by addressing several goals. First, the study sought to translate, adapt, and validate an existing measurement instrument, the Principal Instructional Management Rating Scale (PIMRS) Teacher Form, for use in Vietnam. Next, it aimed to describe patterns of instructional leadership evidenced among a sample of urban and rural primary school principals. Then, the researchers examined if these patterns of principal instructional leadership could be linked to one or more “antecedent variables”: school size, school location (urban/rural), principal’s gender and prior teaching experience. Finally, the paper sought insights from principals and teachers on how instructional leadership could be strengthened in the Vietnamese education context.

Both quantitative survey and qualitative methods were used in this study. The sample consisted of 569 teachers and 117 principals working in 117 primary schools located in Ho Chi Minh province of Vietnam. Data collection employed a translated and adapted Vietnamese language form of the PIMRS Teacher Form. An open-ended question posed to both teachers and principals was included in the survey instrument to gather recommendations for strengthening instructional leadership in Vietnam. The research used Rasch analysis, Cronbach’s test of internal consistency, confirmatory factor analysis, t-tests, and analysis of variance in data analysis.

The research achieved a preliminary validation of a Vietnamese language Teacher Form of the PIMRS. The analysis of PIMRS data gathered from teachers found that the primary school principals were perceived to be exercising instructional leadership at a surprisingly high level. Consistent with international research findings, selected evidence indicated stronger instructional leadership from the female principals, though the pattern was not strong. None of the other antecedents evidenced a significant relationship with patterns of principal instructional leadership. A number of overlapping recommendations were made by teachers and principals for strengthening instructional leadership in Vietnam.

Although a Teacher Form of the PIMRS Vietnam was successfully validated, follow-up studies should be conducted with both the Teacher Form and Principal Form of this instrument. More broadly, the high scores on the PIMRS accorded to the principals in this study were deemed “surprising” in light of the lack of prior policy focus and training on this role of the principal in Vietnam. Thus, the authors recommend that this research be extended to a larger cross-level study of schools from different parts of Vietnam in order to provide additional confirmation of these preliminary findings.

Feedback from principals and teachers indicated a need for system leaders to articulate instructional leadership more explicitly as part of the principal’s role set in Vietnam. Only then will it become part of the formal expectations that shape principals’ practice and the preparation and professional development programs in which they participate. The principals also suggested that instructional leadership could be strengthened by enabling model principals to share instructional leadership practices with colleagues. Finally, teachers and principals highlighted the need to broaden, legitimate, and strengthen sources of instructional leadership within the school beyond the principal. These suggestions are not only consistent with policy actions taken in other societies, but are also grounded in the context of education in Vietnam.

The first internationally published study of educational leadership and management in Vietnam only appeared in 2012. In the succeeding years, several qualitative studies have emerged describing principal leadership practices in a handful of schools. The current study represents the first published quantitative study of school leadership from Vietnam. Although the results are preliminary in nature, the study provides both baseline data on principal instructional leadership and a validated instrument that can be used in future research.

The goal of the study is to offer important insights into the dynamics of the cryptocurrency market by analyzing pricing data for Bitcoin. Using quantitative analytic methods, the study makes use of a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and an Autoregressive Integrated Moving Average (ARIMA). The study looks at how predictable Bitcoin price swings and market volatility will be between 2021 and 2023.

The data used in this study are the daily closing prices of Bitcoin from Jan 17th, 2021 to Dec 17th, 2023, which corresponds to a total of 1065 observations. The estimation process is run using 3 years of data (2021–2023), while the remaining (Jan 1st 2024 to Jan 17th 2024) is used for forecasting. The ARIMA-GARCH method is a robust framework for forecasting time series data with non-seasonal components. The model was selected based on the Akaike Information Criteria corrected (AICc) minimum values and maximum log-likelihood. Model adequacy was checked using plots of residuals and the Ljung–Box test.

Using the Box–Jenkins method, various AR and MA lags were tested to determine the most optimal lags. ARIMA (12,1,12) is the most appropriate model obtained from the various models using AIC. As financial time series, such as Bitcoin returns, can be volatile, an attempt is made to model this volatility using GARCH (1,1).

The study used partially processed secondary data to fit for time series analysis using the ARIMA (12,1,12)-GARCH(1,1) model and hence reliable and conclusive results.

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.

This paper aims to provide insights into service innovation (SI) during the COVID-19 crisis and its potential impact on tourism development in the medium-to-long term. The pandemic had a devastating effect on the industry, requiring immediate mitigation. It is yet to fully establish the impact of SI in the face of the COVID-19 volatility, uncertainty, complexity and ambiguity (VUCA). This study discusses the potential link between SI and COVID-19 crisis mitigation and offers recommendations for tourism recovery.

This paper synthesizes empirical evidence on post-crisis tourism SI using a theory-based general literature review approach.

COVID-19 crisis spun various forms of SI, which emerged as a conventional solution to crisis prevention, encompassing the management of crisis-time competitiveness, revenue deficits and risk perception. However, resistance to innovative services is linked to situational conditions.

COVID-19 is an unprecedented crisis. Therefore, this study serves as a primer for further inquiry into SI. For instance, areas such as governance in tourism innovation and consumers' inclination toward innovation-driven services are underexplored.

SI acts as a situational facilitator, but its characteristics can impede or facilitate adoption. Moreover, the irrelevance of innovations in some environments is evidenced. Thus, practitioners must adopt a responsive learning approach in SI adoption. To mitigate the COVID-19 impacts, reconfiguration in SI, recovery marketing strategy, knowledge gap and governance will be critical interventions.

This paper is one of the first comprehensive discussions on the potential role of SI in mitigating the impact of COVID-19 on the THI.

This research applies the stimulus-organism-behavior-consequence framework to explore how blockchain-enabled traceability influences trust in organic food producers and retailers, which impacts consumers’ purchase behaviors and subsequent outcomes.

Using a purposive sample of 5,326 Vietnamese consumers, multiple linear and polynomial regression with response surface analysis were employed to examine the hypotheses.

Blockchain-enabled traceability significantly enhances trust in both producers and retailers, which congruently and incongruently influences organic food purchase behaviors. This behavior also drives consumers’ word-of-mouth and repurchase intentions. Serial mediation analysis confirms blockchain’s impact through trust and purchase behaviors.

Stakeholders should adopt blockchain to boost transparency and trust, which increases consumer engagement. Policymakers can support this transition through regulations and incentives to enhance food security and sustainability.

This study expands on blockchain research by applying the stimulus-organism-behavior-consequence framework in the organic food supply chain, showing how blockchain-enhanced trust synergistically affects consumers’ purchase behaviors, word-of-mouth and repurchase intentions.

COVID-19 presents a serious and unprecedented challenge around the globe. Street vendors are the most vulnerable group during this pandemic regarding livelihood loss and contagion risk. This research aims to examine the roles of risk communication work in enhancing COVID-19 risk perceptions and adoption of COVID-19 preventive behaviors among street vendors.

The data were collected from the street vendors in urban Vietnam. A binary probit model was used for analyzing the relationships among exposure to risk communication, risk perception and adoption of preventive behaviors.

The analysis reveals the outreach of risk communication work to the street vendors. A rather large proportion of the respondents perceive high risks associated with COVID-19. All respondents adopt COVID-19 preventive behaviors; however, the proportion of regular adoption is moderate and even very low for most behaviors. Their frequent exposure to risk communication significantly raises their risk perceptions and encourages their regular adoption of preventive behaviors, particularly regarding the measures that are affordable and less detrimental to their livelihood.

This research is among the first attempts to examine risk communication to the vulnerable group, how they perceive risks and the extent to which they adopt preventive behaviors during a public health crisis. This research draws some implications for risk communication and social welfare policies to obtain sustainable development goals.

While the application of blockchain technology in the organic food supply chain has been increasingly recognized, the extant knowledge of how blockchain-driven traceability influences consumer perceptions and purchase intentions remains underexplored. Grounded in the stimulus-organism-response theory, this study aims to construct a moderated mediation model to examine blockchain-enabled traceability’s direct and indirect impacts on organic food purchase intention through perceived blockchain-related information transparency, considering the moderating role of blockchain-based trust.

A purposive sample of 5,326 Vietnamese consumers was surveyed using the PROCESS macro to test the proposed hypotheses.

The findings indicate that blockchain-enabled traceability significantly enhances perceived blockchain-related information transparency, which positively influences organic food purchase intention. Furthermore, blockchain-based trust was found to positively moderate both the direct effect of transparency on purchase intention and the indirect impact of traceability on purchase intention through transparency.

Practical and managerial insights for stakeholders in the organic food sector are also discussed.

These results contribute to the literature by extending the stimulus-organism-response model to the context of blockchain technology in supply chains and highlighting the critical role of trust in moderating the effectiveness of technological innovations.

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.