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Pricing on the online booking systems is a difficult task for the host, the systems usually set the prices that are lower than the general premises and quality, and that only gives benefits to the system by easily attracting the customer to use the service. The setting price of the new accommodation is often based on location, the number of beds, type of house and so on. The main problem is to predict the most reasonable price for the host. This paper aims to study the use of machine learning and sentiment analysis for predicting the price of online booking systems.

In particular, an empirical study is performed first for some well-known classification models for the problems. The authors then propose to apply k-means, a clustering technique, together with Gradient Boost and XGBoost models to improve the prediction performance. Experiments are conducted and tested for real Airbnb data sets collected in London City.

Experimental results are given and compared to show that the authors’ method outperforms to an updated method.

The authors use k-means and sampling together with Gradient Boost and XGBoost models to improve the prediction performance.

This paper aims to investigate the sentiment connectedness among 10 European stock markets between January 2020 and July 2022, associating such connectedness with the level of the geopolitical risk index.

For this purpose, a time-varying parameter vector autoregressive connectedness framework is used.

Results show a high degree of sentiment connectedness. Overall, the sentiments of Portugal, France, the Netherlands, Spain, Germany and Italy are net transmitters of shocks while those of Poland, Sweden, Norway and Romania are net receivers. Additional evidence indicates that when geopolitical risks increase, the sentiment connectedness tends to decrease. However, the reverse holds under extremely high levels of geopolitical risks.

Overall, this study provides some significant contributions to the literature. First, to the best of the authors’ knowledge, this is among the first few studies to examine the dynamic connectedness among stock market sentiment across countries. This issue needs special consideration for European countries because of their close geographical distance and strong integration due to the European Union’s co-development strategies. Second, the association of sentiment connectedness with geopolitical risk is examined for the first time. This is even more meaningful in the context of growing geopolitical risks stemming from the Ukraine war, which could affect international financial markets.

This study aims to investigate the moderating role of e-trustmarks in the relationship between electronic word of mouth (eWoM), security, quality of information, and purchase behaviour of consumers on B2C e-commerce websites. The research was conducted in the context of emerging countries.

The research utilised partial least squares path modelling (PLS-SEM) to assess the model and its hypothesised relationships, drawing on data from a survey of 1993 consumers engaged in e-commerce websites with e-trustmarks. The study incorporated SOR theory, asymmetric information theory, and signalling theory.

E-trustmarks moderate the positive impact of eWoM, security, and quality of information on online trust. A moderating effect of e-trustmarks was also found, such that the positive association between purchase intention and purchase behaviour was stronger when e-trustmarks were higher.

This study was conducted solely in Vietnam and focused only on a set of input variables without addressing specific industries or market segments. The research did not use demographic data, such as the age and income of the surveyors, to identify variations in the impact of variables on different target groups, indicating potential areas for future research.

Emerging countries should implement targeted policies regarding e-trustmarks and encourage businesses to adopt them to reduce information asymmetry in the online environment.

This study contributes to asymmetric theory and signalling theory by offering critical insights into how online businesses can make use of influence mechanisms in the model to ease asymmetric information. Integrating signalling theory and moderating e-trustmarks into the SOR model advances research on consumer behaviour in emerging countries’ e-commerce markets with asymmetric information.

The purpose of this paper is to provide a deeper understanding of the different factors of destination quality in explaining European tourist satisfaction in Nha Trang city, which has one of the 29 most beautiful bays in the world and more than one million international tourists per year. The authors will also make some recommendations to attract more European visitors to Nha Trang and to increase satisfaction, as measured by their intention to return in the future.

A sample of 356 European visitors participated in this study. A structural equation modelling was applied in order to test the relationship between the constructs, and to evaluate their reliability and validity.

The results indicate satisfactory reliability and validity of the constructs and support the five hypotheses within a structural equation modelling. The findings highlight the importance of incorporating the roles of different factors in explaining tourists’ satisfaction. Specially, in some previous studies, the composition of the destination quality such as accommodation, food services, the retail and souvenir shops and destination attractions has a great impact on domestic tourist’s satisfaction. While the study found that the biggest factor affecting European tourist’s satisfaction was the friendliness and hospitality of the local people in Nha Trang city.

Future studies should test the difference in satisfaction with the quality of destinations of European tourists to Nha Trang city. Research sample surveys should be collected in order to the magnitude and priority of key European tourist markets such as Russia, England, France, Spain and Germany. In addition, future studies should include more representative samples in other cities and include both domestic and international visitors. The proposed model intends to combine some components of tourism behaviour dimensions (value, involvement, knowledge, ambivalence, certainty, preference, trust, etc.) to test the satisfaction and destination intentional loyalty within this multidimensional perspective in a tourist destination context. The study has not considered the relationship between the increase of Russian tourists to the Nha Trang city in recent years and the decline of the European tourists (England, France, Spain, and so on). Thus, future studies should extend the model to have a more comprehensive picture about the cultural differences and cultural conflict in explaining the loyalty destination of European tourists.

Based on the research findings, the paper strongly recommends the city government to build an image of Nha Trang with friendly and hospitable people. Schools, tourism companies, and local authorities should pay attention to education and training to raise public awareness for tourism development and respect for tourists. The local government needs to develop activities to help the city residents become the typical citizen in the eyes of European tourists, contributing to the sustainable development of tourism in the city.

This study explores and tests the different factors of destination quality in explaining European tourists’ satisfaction. The research findings confirm that different dimensions of perceived destination quality are important variables to explain European tourist satisfaction.

This study investigates the psychological impact of the COVID-19 lockdown on Vietnamese people and examines the factors affecting their psychological well-being during and after the lockdown period.

Based on the survey answers of 701 Vietnamese respondents, this study explores the psychological impact associated with COVID-19 lockdown in Vietnam. Using a newly developed “mvord” package in R that controls the heterogeneity in error structure of the sample units (Hirk et al., 2020), the study runs multivariate ordinal logistic regression models to examine the determinants of the emotional outcomes.

The study discloses negative psychological states among the Vietnamese community during and after the lockdown, including boredom, anxiety, sadness, stress, anger, precautionary measures and post-traumatic stress symptoms. Demographic characteristics (male gender, young age, poor-health condition, high educational level, small family size, officers or professionals, using public transport, quarantine experience before the lockdown, non-extended lockdown period and living in rural areas) and various difficulties during lockdown (insufficient information about COVID-19, income loss, having daily-life difficulties and unhappy experiences during lockdown) are related to higher degrees of different psychological symptoms during and after lockdown in Vietnam.

This study identifies the importance of mitigating the detrimental effects of the COVID-19 lockdown on Vietnamese well-being and prepares the Vietnamese government better to handle the public mental issues during future lockdowns.

Drought and salinity intrusion aggravated by climate change threaten agricultural livelihoods in Viet Nan's Mekong Delta. In response, authorities have built water management infrastructure for irrigation and salinity protection. This study assessed the impact of one such project, the Ba Lai dam in Ben Tre province, on the livelihoods of aquaculture farmers.

This study uses the Sustainable Livelihoods Framework to assess the impact of the Ba Lai dam on the livelihood capitals of 18 farming households in four communes, located both upstream and downstream of the dam.

The authors find that, apart from some positive effects, the dam has also brought negative environmental consequences, such as increased water pollution. The authors also find that farmers have responded to the changes by adapting their livelihood practices.

The samples were relatively small, encompassing four communes in Ben Tre province. On the other hand, this case study is instructive to the many ongoing infrastructure projects in the Vietnamese Mekong Delta.

The project have caused an increase in water-related social conflict.

The case of the Ba Lai dam provides a cautionary example for infrastructure-based water management plans, both in Viet Nam and more broadly. The study suggests the need to strengthen community participation and prioritize impacts of farmers' capital assets when constructing water management infrastructure for climate change adaptation.

This paper studies the factors affecting digital transformation in accounting of small and medium enterprises (SMEs) and then influencing accounting information quality.

The research model includes seven independent variables, namely organizational culture, competitive pressure, employee's awareness, readiness of the information technology systems, organization's mindfulness, alignment of the organization’s strategy and top management support, which affect digital transformation in accounting. Besides, the research model proposed to examine the relationship between digital transformation in accounting and accounting information quality. The paper uses a survey (with 253 respondents) and applies exploratory factor and regression analysis to examine Vietnamese SMEs.

This paper aims to examine the antecedents of the digital transformation in accounting and its positive impact on the accounting information quality. The research results highlight three factors: the organization's mindfulness, alignment of the organization’s strategy and top management support. In the SMEs, top management may be the one, so the top management in SMEs has a strong influence on the digital transformation in accounting.

There are small sample sizes and not yet guaranteed to cover all business areas of Vietnamese SMEs. Control variables will be added to the research model to evaluate, such as firm size, operation time, sex of top management and age of top management.

The results of this paper provide practical insights into the digital transformation in accounting for business managers, researchers and other stakeholders. Vietnamese SMEs should communicate and educate employees and spend resources to improve the information technology system. It helps to improve the financial accounting quality for SMEs.

To the best of the authors’ knowledge, this study is the first to examine factors affecting digital transformation in accounting and the relationship between digital transformation in accounting and the financial accounting quality of SMEs in Vietnam.

Focusing on micro-level indicators, we investigate financial inclusion levels in rural China, examining its determinants and impact on household welfare. We construct a financial inclusion index of four essential financial services: savings, digital payments, credit and insurance. We identify factors influencing financial inclusion among Chinese rural households and assess the effects of financial inclusion on household welfare.

With the entropy method, we use data from the 2019 China Household Finance Survey to assess financial inclusion levels in rural China. Determinants and their impact on welfare are analyzed through probit and ordinary least squares models, respectively. Propensity scoring matching is applied to address potential endogeneity.

We reveal that rural households exhibit limited usage of formal financial services, with notable regional disparities. The eastern region enjoys the highest financial inclusion and the central region lags behind. Household characteristics such as family size, education level of the household head, income, employment status and financial literacy significantly influence financial inclusion. Financial inclusion positively impacts household welfare as indicated by household consumption expenditure. The use of different types of financial services is crucial with varying but significant effects on household welfare.

This study offers valuable insights into China’s rural financial inclusion progress, highlighting potential barriers and guiding government actions.

This article traces the transformation of hát bội, a form of traditional opera in Southern Vietnam, from its primary role as entertainment into a religious activity after the Reform (Đổi Mới) were enacted in 1986.

This research is based on ethnological fieldwork complemented by a review of historical documents and of the available literature on hát bội, cultural policies and on data collected from interviews with artists and spectators at the festival at the shrine to the Lady of the Realm.

Before 1986, hát bội was performed either as a stand-alone entertainment during the fair portion of community festivals or as part of religious ceremonies. The Reform and the accompanying relaxation of state control over religion and culture promoted the resurgence of popular religious fairs across the nation. New opportunities for hát bội to revive opened, artists left state-sponsored troupes to join private companies that catered to religious festivals. But almost exclusive involvement in religious rites has led to artistic stasis for private hát bội troupes.

This research constitutes novel insights of how the Reform in Vietnam affects the transformation of a traditional performance form.

This paper aims to analyse the asymmetric impacts of world oil price on macroeconomic variables in Vietnam, including domestic oil price, inflation and output growth.

The mixed data sampling (MIDAS) approach is employed to examine the impact of world oil price changes on macroeconomic variables as the former is high-frequency data (daily), and the latter is low-frequency data, usually monthly or quarterly.

Changes in world oil price cause asymmetric impacts on domestic oil price and inflation, but no significant effects on output growth. In terms of magnitude, a positive change in world oil price causes a stronger effect than a negative change in world oil price. In terms of timing, a positive change in world oil price causes a slow pass-through impact on domestic oil price and inflation. Meanwhile, domestic oil price and inflation decrease quickly following a negative change in world oil price.

This study investigates the asymmetric impact of oil price on the Vietnam economy in terms of both magnitude and timing, which is not explored by previous studies. In addition, it exploits daily information of oil price changes to analyse macroeconomic variables in lower frequency by employing MIDAS approach.