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The purpose of this study is to examine a mechanism through which subjective financial literacy can exert negative effects on the retirement saving intention and behaviors, which has not been well understood in prior research. Particularly, the authors draw on the relevant risk literature to introduce financial risk tolerance and risk perception as important mediators that transfer subjective financial literacy into reduced retirement saving intention which in turn affects the saving behaviors.

The authors test the model with a sample of 347 adults using factor analysis and structural equation modeling.

Consistent with the notions about the negative side of subjective financial literacy, the authors find supporting evidence for the proposed indirect effects of financial literacy on retirement saving intention via risk tolerance and risk perception. In addition, the authors observe that an individual's retirement saving intention strongly predicts their retirement saving behaviors.

The study offers insights into the mechanisms that subjective financial knowledge might also inhibit individual's responsible financial behaviors (e.g. retirement saving).

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.

Property developers identify the vital role of social media brand engagement (SMBE) in sustaining their businesses in competitive marketplaces, but it remains underexplored. This paper examines how SMBE mediates the effects of firm-generated content (FGC) and user-generated content (UGC) on brand trust, considering the moderating effects of social media influencer endorsement (SMIE) and self-image congruence (SIC) for luxury residential properties (LRPs).

Around 516 high-income homebuyers in Vietnam who shared information about LRP on social media were targeted to test the research model empirically. The primary data collected from paper-based surveys were analysed using SPSS 26 and AMOS 24.

Results indicate that FGC and UGC positively impact SMBE and consequently significantly affect brand trust. Further, results confirm the moderating roles of SMIE and SIC in the effects of FGC and UGC on SMBE.

Data and sample size were limited to meet the generalisation from different nations and cross cultures.

The authors' findings suggest that marketers should apply the authors' integrated SMBE model to strengthen brand–consumer interactions and increase their sales revenue.

This study is the first in its application of the uses and gratifications theory and self-congruence theory to investigate how SMBE mediates the relationship between FGC and brand trust as well as between UGC and brand trust. Noticeably, this study makes a novel contribution as the first to quantitatively explore the moderating effects of SMIE and SIC in the authors' research model.

This study aims to explore the impact of personality traits on self-perceived employability (SPE) and test if the associations are mediated by knowledge sharing (KS) through online learning during the COVID-19 pandemic. In addition, the moderation effect of trust in the relationship between KS and SPE was examined.

Based on Big Five Personality Trait Model and KS model, the authors proposed and tested the research framework with 341 samples collected from university students who experienced online learning during the social distancing caused by the COVID-19 pandemic. The measurement model was assessed to confirm the validity and reliability of the structure, then hypothesis testing was performed with the partial least square-structural equational model (PLS-SEM).

The results showed that extraversion and agreeableness positively affected SPE through KS. Moreover, trust played a moderating role on the effect of KS on SPE.

Based on the research findings, the authors suggest that academic institutions, especially universities, should provide opportunities for students to explore their personality traits. Second, the university should organize specific activities that promote knowledge sharing among students. Third, the university should encourage the creation of platforms aimed at sharing knowledge in a reliable way that increases trust in responsiveness.

The present study contributes to the literature on SPE by presenting immediate empirical evidence on the relationship between personality traits and SPE, along with mediating and moderating effects. These findings provide meaningful implications for higher education institutions that implement online learning during challenging circumstances.

This study examines the evidence of the impact of climate change on the financial performance of basic materials companies in Vietnam.

The research sample includes eighty-two basic materials companies listed on the Vietnamese stock market from 2003 to 2022. This study used one-way and two-way fixed-effects feasible generalized least squares (FGLS) estimation methods.

Climate change, measured through variables including changes in temperature, average rainfall, greenhouse gas emissions and rising sea levels, has a negative impact on the financial performance of companies in this industry. The study also found that, with rising temperatures, the financial performance of steel manufacturing companies decreased less than that of coal mining and forestry companies, but increasing greenhouse gases and rising sea levels reduced the financial performance of steel companies. We did not find evidence of any difference in the impact of climate change on the financial performance of basic materials companies before and after the UN Climate Change Conference (COP 21). This is a new finding, which is consistent with empirical studies in Vietnam and different from previous studies in that it provides new evidence on the impact of climate change on the financial performance of basic materials companies in the Vietnamese market and cross-checks the impact of climate change by sector and over time.

To the best of our knowledge, this is one of the first articles on climate change and the financial performance of basic materials companies.

In this paper, the authors examine the short-term and long-term impact of general economic policy uncertainty (EPU) and crypto-specific policy uncertainty on Bitcoin’s (BTC) exchange inflows – a form of crypto investor behaviors that the authors expect to drive the cryptocurrency volatility.

The authors use an autoregressive distributed lag (ARDL), coupled with the bounds testing approach by Pesaran et al. (2001), to analyze a weekly dataset of BTC’s exchange inflows and relevant policy uncertainty indices.

The authors observe both short-term and long-term impacts of the crypto-specific policy uncertainty on BTC’s exchange inflows, whereas the general EPU only explains these inflows in a short-term manner. In addition, the authors find exchange inflows of BTC “Granger” cause its price volatility. Furthermore, the authors document a significant and relatively persistent response of BTC volatility to shocks to its exchange inflows.

This study’s findings offer significant contributions to research in policy uncertainty and investor behaviors.

Customer incivility is a key phenomenon with various harmful consequences for businesses, particularly in the food and beverage industry. This study investigated the antecedents of this issue and explored its outcomes for frontline employees in Vietnam.

This study used quantitative methodology to survey 780 participants who frequently experienced customer incivility in cafés and bubble tea shops. Structural equation modeling was used to examine the data.

The results revealed three antecedents of customer incivility – employee incivility, selling and customer orientation – as well as outcomes such as revenge motivation, emotional exhaustion, service sabotage and job performance, along with two mediating effects.

Managers can create and enhance additional training classes with varied curricula for different staff groups to foster their perspectives and understand an organization's customer orientation, eliminating vengeance motives, emotional strain, service sabotage and workplace performance.

This study emphasizes the importance of customer incivility and how it can be minimized by examining its causes and consequences in Vietnamese cafés and bubble tea shops.

The purpose of this paper is to explore the experiences of Tourism and Hospitality interns in Vietnam to identify dimensions of internship-related learning outcomes and factors influencing these learning outcomes.

In total, 12 in-depth interviews were conducted with 12 interns to identify the dimensions of internship-related learning outcomes. Following the interview, an online survey, which was designed based on the results of content analysis of the interviews, was used to collect data from 319 interns from ten Vietnamese universities. Exploratory factor analysis, descriptive statistical analysis, independent samples t-tests, and one-way ANOVA tests were used to find answers to the research issues.

Qualitative and quantitative analysis showed that from the students’ perspective, internships helped them consolidate the existing knowledge and skills, further develop relevant professional skills, shape their career paths, and change their learning attitudes and behaviors. The analysis also indicated that student engagement and the extent to which they are involved in tasks during the internships could influence the learning outcomes they gained from the internships.

This study completely relied on students’ perceptions and ratings.

The study findings indicate that universities need to pay greater attention to student engagement. By encouraging collaboration between interns and their mentors and organizing activities for interns to utilize their knowledge, universities will improve students’ learning experience during the internship.

This mixed-method study expands our understanding about internship-related learning outcomes and influential factors using the perspectives of interns in a developing country. It has important implications for higher education institutions and students to improve the effectiveness of internships.

The purpose of this paper is twofold: to explain access to formal and informal credit in agriculture of Vietnam; and to compare the effectiveness between regular econometrics and machine learning techniques.

The multinomial logit (MNL) regression model and the random forest (RF) technique are employed for comparison purposes. To avoid heteroskedasticity, the robust covariance matrix is computed to estimate the sandwich estimator which in turn provides an asymptotic covariance matrix for biased estimators. Additionally, multicollinearity is tested among independent variables with variance inflation factors less than 3. Adequacy approach and sensitivity analysis are used to determine relevant levels of predictors. For models comparison, statistical evaluation metrics including Cohen’s κ, mean absolute error, root mean squared error and relative absolute error are employed.

The discrepancy between sensitivity analysis and adequacy approach revealed that MNL is more compatible for explaining determinants of credit participation. Due to insignificant differences in the evaluation metrics between models, the winner of choice is undetermined. Among other determinants, collateral, farmsize, income, procedure, literacy and all risk variables stand out to be critical factors when deciding borrowing schemes. While financially literate farmers tend to acquire loans from both sources, borrowing decisions against different risk sources depend on risk type and famers’ own desire to borrow.

Results of the MNL model are more consistent with literatures, which reinforce the role of collateral in the local credit scheme. Besides, financial literacy and farmers’ perception on different risk sources also influence how farmers’ borrowing strategies vary among sources.

The authors explore the state of internationalization of accounting education as perceived by accounting academics, accounting employers, and accounting students in Vietnam. Based on data collected, authors draw recommendations to better facilitate internationalization of accounting education in Vietnam.

With a qualitative approach, the authors use content analysis (materials from 27 universities) and semi-structured interviews (28 participants) to explore the state of internationalization of accounting education as perceived by academics, employers, and students in Vietnam.

The authors identify the extent of and challenges in internationalization of accounting education in Vietnam, including language barrier, teaching approach, and budgetary constraints. Practical recommendations are drawn to help overcome challenges and facilitate progress.

The study integrates two fields of research: accounting and education, particularly through addressing in-depth perspectives of a broad range of stakeholders in addition to a detailed examination of archival contents. Practical recommendations are proposed for short term, medium term, and long term.