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This paper aims to examine the factors affecting travelers’ decision to select more than one destination in their trips. Drawn from the rational choice theory, this study posits that the selection of multi-destination tours, as a rational choice, is determined by the travelers’ perception of costs and benefits associated with that choice.

The conceptual model was developed from both an exploratory research with in-depth interview and the literature. A logistic regression model linking four explanatory variables representing perceived benefits and costs of multi-destination option with travelers’ choice of multi-destination trips. The conceptual model is controlled for diversity of travel purposes; tour group size; type of travel arrangement and travelers’ demographic characteristics while the research context of multi-destination travel within Phu Yen – Dak Lak – Gia Lai – Binh Dinh helps control for the characteristics of the destination set (spatial proximity and traffic convenience). The conceptual model was tested based on data collected from 1,361 Vietnamese travelers who have ever visited at least one of the four provinces.

This study finds that perceived benefits in terms of diversifying tourism experiences and perceived costs of traveling in multiple places compared to taking single trips represent the most significant drivers for tourists’ selection of multi-destination tours. In addition, the diversity of travel purposes and tour group size have a positive and significant impact on the demand for traveling more than one destination in a trip. Moreover, the richer, older and married travelers have a significantly higher tendency to select multi-destination packages.

The research findings provide important strategic implications for promoting multi-destination trips, thereby, maximizing economic benefits from tourism.

While multi-destination travel patterns have been examined empirically in individual studies sporadically without a common theoretical background, this research makes some progress on this front by using the rational choice theory to connect the relative contributions of those factors to the travelers’ choice of multi-destination trips. Specifically, this study provides a new perspective in explaining the selection of multi-destination trips – from tourists’ perceptions about costs and benefits associated with that choice.

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.

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.

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 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.

This study focuses on Vietnamese international students who returned from their overseas doctoral education to home universities in Vietnam (henceforth Vietnamese overseas-trained returnees). The purpose is to explore the experience of these returnees “doing research” (i.e. being research active) when resuming a lecturing role at a Vietnamese regional university. In the context of research now receiving heightened attention in both the wider global higher education (HE) discourse and the Vietnamese HE sector, this study is timely and provides valuable insights.

In total, 76 Vietnamese overseas-trained returnees from varied disciplinary backgrounds completed a questionnaire on their research motivation and their perceived constraints doing research. Eighteen subsequently took part in semi-structured interviews. The study draws on the notion of human agency from the sociocultural perspective to understand the coping strategies of the Vietnamese overseas-educated returnees in response to the challenges they encountered.

The results show that the returnees' motivations to conduct research varied, fuelled by passion, but constrained by multiple factors. Time constraints, heavy teaching loads, familial roles and lack of specialized equipment are key inhibiting factors in re-engaging in research for these returnees. Addressing them necessitated a great deal of readaptation, renegotiation and agentive resilience on the part of the returnees in employing different coping strategies to pursue research.

The paper argues for a subtle understanding of the returnees' experience of re-engaging in research that is both complex and contextual. Implications are drawn for research development in the regional Vietnamese HE context and perhaps in other similar settings.

There is little empirical knowledge about how Vietnamese returned graduates – university lecturers – continue doing research after their return. Also underexplored in global discourse is research on foreign-educated returnees doing research, while they are an important source of human resources. The present study, therefore, fills these research gaps.

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.

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.

The purpose of this paper is to investigate the relationship between relational capital and supply chain collaboration (SCC) and how this relationship relates to innovation. The authors propose a theoretical framework to illustrate the effect of relational capital on three dimensions of collaboration and radical and incremental innovation.

The paper has a quantitative approach. The authors conducted the survey to collect the data from 225 suppliers in the Hunan province of China. The proposed model is tested with exploratory factor analysis, confirmatory factor analysis and structural equation modelling.

The findings show that relational capital can facilitate information sharing and benefit/risk sharing when firms work together to achieve innovation. Furthermore, the results indicate that relational capital leads to radical innovation through facilitating information sharing among firms and helps in generating incremental innovation by encouraging firms to share risks and benefits with their partners.

The findings of this study give some suggestions for managers of the firms in terms of building their collaborative strategies. Managers should exploit relational capital to build successful and long-term collaboration. Also, through relational capital, managers can share information to create radical innovation or pool risks and share benefits with their customers to achieve incremental innovation.

This study provides a nuanced understanding of the relationship between relational capital, different dimensions of SCC and innovation in the context of a developing economy. Moreover, the findings provide a clearer understanding of the collaborative mechanism of relational capital and collaboration to achieve radical and incremental innovation.

The objective of this research is to investigate how empowering leadership (EL) could promote employees' knowledge sharing (KS) and innovative work behavior (IWB), which, in turn, improve their job performance (JP). Besides, the moderating role of power distance orientation (PDO) will be considered as well.

This study employed a self-reported questionnaire from 460 frontline employees at Vietnamese commercial banks and the partial least squares structural equation modeling (PLS-SEM) via the SmartPLS 3.0 to test the hypotheses.

The findings showed that there was a positive influence of EL on JP; this was mediated partially through KS and IWB. Additionally, the first research was the one that revealed that employees with high PDO dampened the positive effects of EL on KS and IWB.

The result of this study suggests that managers should evolve EL to heighten employees' JP.

The findings explored correlations between a system of variables. Besides, the main results of this research also demonstrated that EL played a crucial role in KS, IWB and JP.